A Novel Machine Learning-Derived Molecular Classification Scheme with Prognostic Significance

Abstract The gold standard for the diagnosis of MDS relies on morphologic alterations hampered by a great deal of subjectivity. Cytogenetic and clinical features allow for clinical classifications predictive of survival. However, with a few exceptions (SF3B1MT, del5q, and certain balanced translocations), neither classic histo-morphology nor prognostic scoring systems (e.g., IPSS-R) are reflective of pathogenic underpinnings. To date supervised analyses of mutational data did not succeed to produce profiles specific or predictive of traditional disease sub-entities. Large cohorts with clinical annotation and a sufficient follow-up allow for innovative biostatistical approaches to subgroup patients according to molecular profiles. Objective operator-independent subcategorization may be congruent with common pathogenic links, rational applications of targeted therapeutics and better prognostications. We hypothesized that machine-learning (ML) strategies used for analysis of mutational/cytogenetic profiles will enable recognition of invariant disease subcategories according to their molecular configurations. Herein, we compiled a meta-analytic database (our cohorts and publicly available sources) of 3,011 MDS (median age 71yrs) and 6,788 pAML/sAML. Results of deep targeted sequencing of a panel of 55 myeloid mutations were collected together with cytogenetics. We then performed unsupervised analysis of MDS and AML patients using Bayesian Latent Class Analysis (BLCA). A consensus matrix was then clustered using Ward's criteria to generate final cluster assignment based on the highest silhouette value. To identify genomic signatures, we used Random Forest classification and extracted mutations with highest global importance indicated by mean decrease in accuracy. Using BLCA we identified 5 unique genomic clusters (GCs) with 3 distinct prognostic outcomes [low risk (LR), intermediate risk (Int), and high risk (HR)] that were validated by survival analysis (Fig.1A,B). The LR group included GC-1 and was characterized by the highest prevalence of normal cytogenetics (100%) and SF3B1 MT (25%) with co-occurring DNMT3A MT (14%), and absence of ASXL1 MT, ETV6 MT, STAG2 MT, TP53 MT, and complex/abnormal cytogenetics. Int group included GC-2 and GC-4. GC-2 was characterized by a higher percentage of abnormal cytogenetics cases than LR group and absence of STAG2 MT, SRSF2 MT, ASXL1 MT, TP53 MT, and normal/complex cytogenetics. GC-4 had the highest frequency of SRSF2 MT (52%) with co-occurring ASXL1 MT (59%), TET2 MT (40%), normal karyotype, and absence of complex/abnormal cytogenetics. Finally, HR included GC-3 and GC-5. GC-3 included ASXL1 MT (67%) with co-occurring SRSF2 MT (47%), TET2 MT (37%), STAG2 MT (22%), and absence of normal cytogenetics. GC- 5 had the highest frequency of -5/del(5q) (50%), -7/del(7q) (43%), -17/del(17p) (16%) and the highest odds of complex karyotype (92%) as well as TP53 MT (48%). Paralleling the genomic ML-based clustering, the clinical relevance of these subgroups was reflected in significantly different survivals [median (95% CI)]: i) GC-1 [69 (59-80)], ii) GC-2 [35 (29-41)], iii) GC-3 [12 (10-16)], GC-4 [27 (22-34)], and GC-5 [9 (7-11)] months (Fig.1C). We then classified the MDS cohort according to the recently published and validated AML GCs (Awada et al Blood 2021) to investigate overlapping genomic features. Overall, 90% of MDS GC-1 and 67% of MDS GC-2 had the same molecular architecture of AML GC-2 and 70% of MDS GC-5 had the same molecular features of AML GC-4. In addition, 98% of MDS GC-3 and 92% of MDS GC-4 had the same features of AML GC-3 (Fig.1D). In sum, we propose a novel objective molecular classification of MDS and related diseases that allows subgrouping of patients according to shared pathogenesis for a better prognostic resolution without errors derived from subjectivity. The model was then internally and externally validated using a cohort of 200 cases. Results of a validation cohort and online URL site of molecular clustering will be presented at the meeting. Figure 1 Figure 1. Disclosures Balasubramanian: Servier Pharmaceuticals: Research Funding. Patel: Alexion: Consultancy, Other: educational talks, Speakers Bureau; Apellis: Consultancy, Other: educational talks, Speakers Bureau. Carraway: Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astex: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Regeneron: Consultancy; Novartis: Consultancy; Alexion: Consultancy; Bristol Myers Squibb/Celgene: Consultancy.

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Deficiency of RPS14 Beyond the Haploinsufficient Loss in Del(5q)

Blood ◽

10.1182/blood-2021-151926 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2591-2591

Author(s):

Vera Adema ◽

Sunisa Kongkiatkamon ◽

Laura Palomo ◽

Wencke Walter ◽

Stephan Hutter ◽

...

Keyword(s):

Gene Expression ◽

Board Of Directors ◽

Linear Model ◽

Research Funding ◽

Review Committee ◽

Advisory Committees ◽

Tp53 Mutations ◽

Model Based ◽

Independent Review ◽

Cluster 2

Abstract The prevailing theory in del(5q) is that haploinsuffciency (HI) stemming from deletion and not simply LOH (loss of heterozygosity) is the culprit in clonal evolution. To date no haploinsufficient gene has been found to be the leukemogenic factor conveying growth advantage, but various other genes have been found to be important for phenotypic features or for propensity to acquire subsequent specific lesions. RPS14 is an example of such a gene, particularly in patients (pts) with isolated del(5q), responsible for macrocytic anemia and erythroid dysplasia and a propensity for acquisition of TP53 mutations. We hypothesized that RPS14 downmodulation and its consequences may be more common than del(5q) and it is frequent pathophysiologic feature in MDS. We first analyzed the genomic and expression profile of 170 pts with del(5q) and 825 diploid for 5q. We developed a new analytic pipeline to identify the most HI genes present in a large number of del(5q) pts. Genes within CDR (common deleted region) were classified as HI from the linear model fit if (i) clonality vs. gene expression slope from the isolated del(5q) was negative and FDR<.05; and (ii) effect of del(5q) at 50% clonality vs. other cases was negative and FDR<.05. A total of 62 genes met these criteria for linear-model based genes HI status, with a further 5 genes dropping due to low expression. Gene expression for these 57 HI genes among del(5q) samples was adjusted to 50%-clonality using the slopes from the estimated linear model to remove clonal heterogeneity. After applying model-based sparse clustering approach on all cohort, we obtained 7 clusters (Figure 1). As expected, del(5q) cases clustered together and showed consistent HI of 5q marker gene expression. Cluster-1 (n=146) included almost all del(5q) cases, except for 8 "mis-categorized" patients. It was characterized by low risk MDS (LR-MDS), presence of anemia/neutropenia and low mutational burden, with TP53 being the most commonly mutated gene and the only cluster with CSNK1A1 mutations. The remaining non-del(5q) patients were grouped in 6 clusters. Diploid cluster-2 (n=133) featured a normal karyotype, frequent ASXL1 and TET2 mutations, and profound down-modulation of RPS14 in all the patients included in the cluster (vs. other diploid pts). While the median RPS14 expression in cluster-1 (del(5q) cluster, with 50% adjusted clonality) was 7.29 (range 4.68-8.82 Log 2CPM), cluster-2 exhibited a median RPS14 expression of 6.12 Log 2CPM (range: 4.91-7.31 Log 2CPM). Clusters-3, -4, -5 (n=138, 90, 94, respectively) included most of the high risk MDS (HR-MDS). Cluster-3 was enriched for thrombocytopenia and SRSF2 mutations; cluster-4 for anemia, thrombocytopenia and ASXL1 and SRSF2 mutations. Cluster-5 was characterized by pancytopenia and frequent ASXL1 mutations and CK (complex karyotype). Cluster-6 (n=66) and -7 (n=233) contained the majority of non-del(5q) LR-MDS. When we analyzed the RPS14 expression in these clusters based on the RPS14 expression in cluster 2 we found 13% (n=18), 21% (n=19), 9% (n=8), 14% (n=9), 7% (n=16) of low RPS14 expressors in cluster-3, -4, -5, -6, -7, respectively. Cluster-2 showed a similar percentage of patients with anemia, and thrombocytopenia vs. Cluster-1 (69 vs. 50%, 23 vs. 30%; respectively). The mutational profile included a higher frequency of mutations for SRSF2 (29 vs. 0%), NRAS/KRAS (22% vs. 4%), ASXL1 (40 vs. 15%), TET2 (35 vs. 15%), and JAK2 (17 vs. 6%). These results indicate a more proliferative molecular spectrum of RPS14 downregulated cluster-2 than del(5q)-cluster-1, but RPS14 downmodulation did not lead to acquisition of TP53 mutations (4% vs. 76%). Considering all non-del(5q) RPS14 low expressors (n=186), only 3% of the cases had TP53 mutations. Since TP53 and CSNK1A1 mutations were characteristic of cluster-1 we studied interactions with HI RPS14. HI RPS14 in del(5q) and diploid low expressors showed a decreased expression of CDKN1A (P<.001) in comparison to the non-HI or low RPS14. We also found that CSNK1A1 mutations were not found outside of del(5q) pts, CSNK1A1 low expressors coincided with RPS14 low expressors. In conclusion, RPS14 expression defect is more widespread than del(5q) in MDS. However, only del(5q) RPS14 HI pts are prone to harbor TP53 and CSNK1A1 mutations; a group of diploid pts with low RPS14 and CSNK1A1 expressions might mimic some del5q features and could potentially respond to similar treatments. Figure 1 Figure 1. Disclosures Diez-Campelo: Takeda Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Carraway: AbbVie: Other: Independent review committee; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astex: Other: Independent review committee; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Bristol Myers Squibb/Celgene: Consultancy; Regeneron: Consultancy; Novartis: Consultancy; Alexion: Consultancy.

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Germline and Somatic Variants of CSF3R Define Distinct Myeloid Neoplasia Syndromes

Blood ◽

10.1182/blood-2021-152546 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 3667-3667

Author(s):

Tariq Kewan ◽

Hrishikesh M Mehta ◽

Carmelo Gurnari ◽

Waled Bahaj ◽

Simona Pagliuca ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Extracellular Domain ◽

Review Committee ◽

Advisory Committees ◽

Intracellular Domain ◽

Secondary Aml ◽

Juxtamembrane Region ◽

Independent Review ◽

Myeloid Neoplasia

Abstract Somatic and germline (GL) variants of CSF3R are found in myeloid neoplasia (MN) and severe congenital neutropenia (SCN). In particular, somatic gain-of-function mutations in the juxtamembrane region of the receptor occur in chronic neutrophilic leukemia (CNL) or secondary AML. Another hotspot for somatic nonsense variants frequently mutated in these categories of pts involves the intracellular domain which regulates inhibitory growth pathways. We hypothesized that the somatic CSF3R variants could reveal previously unrecognized GL SCN mutations. When we studied a cohort of 2,610 pts with MN, we identified a total of 68 CSF3R variants (CSF3RMT). Using a bioanalytic pipeline, we assigned pathogenicity and type of origin (somatic vs. GL) to these variants, particularly those not previously described. In total, we found 32 GL (CSF3RGL) and 36 somatic (CSF3RS) mutations. Of the GL variants, 4 were previously described in pts with SCN consistent with heterozygous loss of function of the CSF3R gene. However, 15 additional alterations were located in similar regions and were predicted to be pathogenic while 13 variants were previously never described. Most of the CSF3RGL mutations were identified in pts with AML and MDS (88%). Interestingly, 2 (6%) pts had co-existing idiopathic neutropenia that progressed to secondary MDS. Another pt had aplastic anemia that eventually progressed to secondary AML. CSF3RGL were most often located in either the intracellular domain (44%) or the extracellular domain (34%) while none of the CSF3RGL mutations were found in the juxtamembrane region (Fig1). AML was detected in 21% of the pts with a CSF3RGL intracellular domain mutation and 18% of the pts with extracellular domain mutations. Of the germline missense variants, E808K (28%), R698C (9%), and E149D (9%) were the most frequently detected. Among the pts with E808K, 22% developed AML. The previously non-reported variants were detected in either the intracellular (50%) or the extracellular domain (50%). Missense variants were detected in 9/10 of the novel mutations in the following locations: L723V (20%), R428K (10%), G731R (10%), V406fs (10%), G687S (10%), P682H (10%), T154I (10%), and S413L (10%). One truncating mutation was found (c.1865-6delC) and it was located in intron 14 and has unknown impact on CSF3R function. Complex karyotype was noted in 19 % of the cases with CSF3RGL. DNMT3A (19%), NRAS (13%), FLT3 (9%), and BCOR (9%), were the most commonly found co-mutations. CSF3R S mutations were all heterozygous and found in 18 pts with AML and 18 pts with MDS and other MN. Overall, these lesions mapped within the intracellular proximal and distal domains (53%), the extracellular domain (14%) the juxtamembrane domain (25%), and the transmembrane domain (8%). Of note, MDS/MPN pts with CSF3RS mutations (11%) had lesions distributed between the intracellular, juxtamembrane and extracellular domains while none of the AML pts had mutations in the extracellular domain. Of all mutations, 36% were truncating events previously described in the context of post SCN AML while 61% were missense mutations. T618I was the most frequent CSF3RS detected (25%), followed by Q749X (11%), Q741X (9%), Q743X (6%). Juxtamembrane hits (CNL-like lesion) were all in the same canonical region (T618I). In contrast, somatic hits otherwise typical for post SCN AML were found in 33% of CSF3RS alterations and included the following: Q749X(4), Q741X (3), Q739X (2), S742X, Q743X, and E405K (not typical for post SCN AML). Taken together the combined allelic burden of these variants did not exceed that of general population (OR: 0.9503) suggesting that they are not significant risk alleles. Of note is that none of these variants were found to be in biallelic (somatic/GL) configurations. Complex karyotype was found in 19% of the pts with CSF3RS followed by del7q in 13% of cases. Importantly, an antecedent history of neutropenia was noted only in 14% of the pts carrying CSF3RS. Regarding associated mutations, ASXL1 (43%), RUNX1 (23%), SETBP1 (23%), TET2 (23%), DNMT3A (17%), SRSF2 (16%), EZH2 (14%), IDH2 (11%), and NRAS (11%) were the most common co-mutations. We have investigated CSF3RS mutations for the presence of GL alterations, but compound heterozygous configurations were not identified. We concluded that CSF3R mutations typically associated with SCN transformation to myeloid neoplasia can occur without GL variants associated with this defect. Figure 1 Figure 1. Disclosures Balasubramanian: Servier Pharmaceuticals: Research Funding. Patel: Apellis: Consultancy, Other: educational talks, Speakers Bureau; Alexion: Consultancy, Other: educational talks, Speakers Bureau. Advani: Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; OBI: Research Funding; Immunogen: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding; Macrogenics: Research Funding. Carraway: AbbVie: Other: Independent review committee; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Astex: Other: Independent review committee; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Maciejewski: Novartis: Consultancy; Regeneron: Consultancy; Bristol Myers Squibb/Celgene: Consultancy; Alexion: Consultancy.

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Genomic Landscape of PHD Finger Protein 6 (PHF6) Mutant Myeloid Neoplasia

Blood ◽

10.1182/blood-2021-153554 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1154-1154

Author(s):

Laila Terkawi ◽

Carmelo Gurnari ◽

Sunisa Kongkiatkamon ◽

Simona Pagliuca ◽

Minako Mori ◽

...

Keyword(s):

Transcriptional Regulation ◽

Board Of Directors ◽

Research Funding ◽

Binding Capacity ◽

Review Committee ◽

Advisory Committees ◽

Arginine Residues ◽

Independent Review ◽

Myeloid Neoplasia ◽

The Impact

Abstract Clinical impact and mechanistic contributions to leukemogenesis are difficult to assign to less common somatic mutations. However, the genetics of inherited syndromes can often be helpful in discerning the biological functions and mechanistic consequences of genes in other diseases. PHF6 (Xq26.2) encodes a protein consisting of two PHD-type zinc finger domains with activity in transcriptional regulation. PHF6 translocations were originally described in T-ALL and its mutations were later observed also in CML and adult AML. Germline (GL) PHF6MT cause Börjeson-Forssman-Lehmann syndrome (BFLS), an X-linked disorder characterized by intellectual disability and, to date, only a few BFLS cases were found to develop lymphoma or T-ALL. While regularly encountered in myeloid neoplasia (MN), the impact and functional meaning of PHF6 are not well established. To determine the incidence, distribution and molecular context of PHF6MT we studied a large cohort of patients with MN (n=8617) collected from our institution and public series. 1 Overall, 73% of patients were AML (pAML 69%; sAML 4%), MDS (22%) and MDS/MPN (5%) with a median age at diagnosis of 67 ys (18-100). We detected 149 patients (2%) carrying at least 1 PHF6MT with 11 harboring more than 1 hit. Four patients carried -X in addition to PHF6MT (2 males; 2 females). Majority of patients (68%) carried frameshift del/ins and nonsense. Mutations were scattered across all coding region with a slightly enrichment (47%) in the second PHD domain (239-330 aa) including the frequent R274Q/X (n=17). Common hits mainly affected arginine residues essential for DNA binding capacity (R129X n=9, R116X=7, R319X=5, R225X=3) followed by other hits (I314T=6, Y301X and C20fs=4 each). Of note, R116X, R225X, R274X, C280Y, H329R and Y303* lesions overlapped with the T-ALL PHF6MT spectrum while no overlap was found with GL mutations found in BFLS. Overall, 75% of all PHF6MT carriers were males and carried mostly (80%) truncating lesions. Compared to mutational frequencies observed in other X-linked genes, truncating PHF6MT behaved similarly to those in ZRSR2 (78%), STAG2 (73%) and BCOR (62%). Conversely, BCORL1MT, KDM6AMT and PIGAMT were evenly distributed between genders. When evaluating mutational characteristics in males and females, no differences were found in sex-adjusted median variant allelic burden of PHF6MT (54.8 vs 51%) nor its mRNA expression levels suggesting locus inactivation. PHF6MT tended to be older than PHF6WT patients (72 vs 68 ys; P= .05) and had mostly (63%) AML followed by MDS (23%) and MDS/MPN (14%). OS was similar between PHF6MT and PHF6WT patients (P= .16). Expression analyses showed that PHF6 loss leads to deregulation of chromatin and transcriptional factor genes. Indeed, in our cohort the most comutated genes were transcriptional factors and chromatin modifiers genes such as RUNX1 (26/149, 17%), ASXL1 (23/149, 15%) and TET2 (17/149, 11%). Of note, this group characterized by the triple ASXL1, RUNX1, TET2 mutational configuration clustered in one of the genomic groups previously identified (GC-3) 1 but the presence of these lesions did not worsen the OS as compared to PHF6MT without this mutational constellation. A low frequency of SF3B1MT (4%) was also noted confirming the enrichment of PHF6MT in AML rather than in low risk MDS. Further, 12% (14 males; 4 females) of PHF6MT patients had X-mutation mosaicism as shown by concomitant hits in BCOR (n=8), ZRSR2 (4), STAG2 (5), KDM6A (1). PHF6MT were equally founder lesions (30%; 44/149) and subclonal (34%; 50/149) whereas the rest was indistinguishable by VAF discrimination (co-dominant). The most common subclonal mutations were U2AF1 (14%, 6/44), IDH1/2 (9%, 4/44) and RUNX1 (7%, 3/44). When PHF6MT were subclonal, the founder hits were in TET2 (14%, 7/50), DNMT3A and RUNX1 (12%, each 6/50) genes. Given the high frequency of RUNX1MT in PHF6MT we investigated whether RUNX1 and PHF6 might be correlated. Transcriptomic analysis of 6246 patients (from 9 public studies) 2 showed a direct linear correlation (AdjR2= .03, P=5.55e-05) between the expression of the two genes. Our study is the largest to date to investigate the genetic landscape of PHF6MT in MN and highlights a strong connection of PHF6 with transcriptional regulation and chromatin genes. Ongoing scDNA-seq will clarify whether these mutations were acquired in distinct clones helping in dissecting the clonal hierarchy of PHF6MT cases. Disclosures Carraway: Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Takeda: Other: Independent review committee; Astex: Other: Independent review committee; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Advani: Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Macrogenics: Research Funding; Immunogen: Research Funding; OBI: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding. Maciejewski: Regeneron: Consultancy; Novartis: Consultancy; Alexion: Consultancy; Bristol Myers Squibb/Celgene: Consultancy.

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The Drive to Acquire Biallelic Hits Inversely Correlates with the Functional Impact of the Primary TP53 Lesion: The Complexity of TP53 Role Assessment

Blood ◽

10.1182/blood-2021-152848 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 3322-3322

Author(s):

Waled Bahaj ◽

Carmelo Gurnari ◽

Tariq Kewan ◽

Suresh Kumar Balasubramanian ◽

Simona Pagliuca ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Clinical Impact ◽

Dominant Negative ◽

Rapid Progression ◽

Compound Heterozygous ◽

Review Committee ◽

Advisory Committees ◽

Tp53 Mutations ◽

Independent Review

Abstract While the clinical impact and the mechanistic contribution of TP53 mutations have been a subject of intense research, many questions about its role in myeloid neoplasia (MN) remain unanswered. Previous molecular studies have confirmed the assertion that biallelic inactivation confers less favorable prognosis as opposed to monoallelic hits. These evidences agree with the observation that carriers of Li-Fraumeni syndrome do not always exhibit a complete penetrance of the recessive TP53 lesion. Thus, the presence of a residual function of TP53 appears to be somehow protective until it is offset by additional damage of contralateral allele or compound heterozygous hits in synergistic pro-leukemogenic pathways. TP53 can be affected by lesions of diverse configurations (e.g. biallelic, homo/hemizygous) targeting different locations [missense mutation (ms) in various hotspots vs truncations], and their assessment in terms of clinical consequences is complex. Only large cohorts of patients allow to discern the often discrete nuances of TP53 effects in individual inactivation patterns. We have compiled molecular and clinical data of a meta-analytic cohort (CCF and public datasets) of 1,011 patients with TP53 alterations, along with 3,419 cases found to be TP53 wild type (WT). A total of 1,258 TP53 mutations/deletions were found, 66% classified as biallelic and 37% as monoallelic hits (including single deletions). We investigated the closest hotspot ms mutations, hypothesizing that lesions mapping sequences in proximity will have the same phenotypic impact. Next, we arranged ms mutations into 6 main sites with each one containing lesions mapping within 5 amino acidic positions from the canonical hotspot location. These sites were mutated in 58% of patients with presence of truncating hits in 27% of cases. When ms mutation sites were compared to each other, a less dismal survival was observed for only the R175H hotspot (p .03). Most hotspots are known to exhibit dominant-negative effects (likely due to tetramer protein configurations) and thus, inhibit >50% of the TP53 activity as opposed to truncations which should inactivate ~50%. Consequently, one would expect that hotspot mutations produce a more aggressive phenotype. However, patients with ms hits had similar survival as those with truncating mutations (p=.6), likely because truncations were more often biallelic than ms mutation (81% vs 65%, p=.006). Indeed, we can stipulate that the strength (functional impairment) conveyed by a mutation will inversely correlate with the propensity to acquire biallelic hits. Therefore, we hypothesized that truncations (inactivating less TP53) would require an additional hit if compared to the stronger dominant-negative ms lesions. Notably, double hits were identified in 81% of cases carrying truncating mutations vs. 66% in those with ms canonical sites mutations (p<.009). Carriers of biallelic mutations had worse prognosis than those with monoallelic hits in adjusted multivariate analysis (HR 2.2 95% CI 1.8-2.7 p<.001). However, unlike in previous reports, in our large cohort containing several MN types, monoallelic hits were not survival neutral, but worsened the prognosis as compared to WT patients (p<.001). This finding implies a strong driver effect for TP53 lesions, which are characterized by a rapid progression even in the monoallelic configuration. Similarly, monoallelic hits were associated with a higher mutational burden compared to biallelic ones (1.22 vs 0.91 co-mutations/patient, p=.02), which likely compensated the need for further TP53 inactivation. When focusing on the accompanying genomic landscape of our cohort, we found that 45% of cases had TP53 mutations as the sole molecular lesion vs 55% of patients who also harbored co-occurring somatic events. In particular, complex karyotype was more frequent among patients without co-occurring mutations (79% vs 57%, p<.001). As of associations with disease subtypes, primary AML cases had a lower burden of co-mutations (p<.001) while the highest percentages were registered in LR-MDS (p=.005). In summary, our study demonstrates the complexity of assigning a correct clinical impact to TP53 mutations, which are characterized by a high degree of genomic heterogeneity. In addition to the genetic context, TP53 role may also vary in different subtypes of MN (e.g., AML vs MDS) shaping in a different fashion individual patients' trajectories. Disclosures Balasubramanian: Servier Pharmaceuticals: Research Funding. Saunthararajah: EpiDestiny: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Hamilton: Syndax: Membership on an entity's Board of Directors or advisory committees; Equilium: Membership on an entity's Board of Directors or advisory committees. Carraway: Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Takeda: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astex: Other: Independent review committee. Maciejewski: Novartis: Consultancy; Regeneron: Consultancy; Bristol Myers Squibb/Celgene: Consultancy; Alexion: Consultancy.

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Myelodysplastic Syndromes: A More Global 5-Hydroxymethylcytosine Deficiency Disorder Than Suggested By the Presence of TET2 Mutations

Blood ◽

10.1182/blood-2021-145949 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 3665-3665

Author(s):

Carmelo Gurnari ◽

Simona Pagliuca ◽

Yihong Guan ◽

Courtney E. Hershberger ◽

Ying Ni ◽

...

Keyword(s):

Board Of Directors ◽

High Frequency ◽

Research Funding ◽

Regression Analyses ◽

Review Committee ◽

Advisory Committees ◽

Mutational Burden ◽

Impact On Survival ◽

Independent Review

Abstract The high frequency of TET2 mutations in myelodysplastic syndromes (MDS) and the sole function of TET-dioxygenases as 5-hydroxymethylcytosine (5-hmC) hydroxylases emphasize the key role of this gene in disease pathogenesis. However, the broad down-regulation of 5-hmC argues for a role of DNA demethylation in MDS beyond TET2 lesions, which albeit the high frequency, do not convey any impact on survival outcomes. In fact, decrease in 5-hmC levels is by far more widely spread than TET2 lesions pointing towards other pathways affecting TET2 activity, thereby obscuring a precise determination of its mutational and clinical consequences. Herein, we investigated TETs expression to identify factors explaining the widespread deficiency of 5-hmC in MDS possibly determining clinical phenotypes and prognosis. An integrative data analysis of genomic studies (whole genome and deep targeted NGS), RNA-sequencing and 5-hmC quantification was performed on 1,665 patients with MDS and 91 healthy controls (HC). Meta-analytic studies of 5-hmC levels in myeloid neoplasia (n=598) and data of RNA-sequencing of fractionated CD34 (GSE63569) were also included as confirmatory cohorts. We started by analyzing the clinical impact of TET2 mutations carried by 23% of our study population. No impact on survival was found in carriers of TET2 lesions including those with biallelic, truncating or missense mutations compared to wild-type (WT) (Fig1A). By using 5-hmC levels as a functional readout of TET activity, we found a TET deficiency in about 70% of patients, a proportion higher than one would conclude by considering the mere presence of TET2 mutations (Fig1B). To explain the decrease in 5-hmC levels in WT cases, we next examined transcriptome modifications. Analysis of the expression of TET family of genes showed that MDS patients had lower TET2 mRNA levels in total and in CD34+ cells as compared to HC, irrespective of their TET2 status. Therefore, we reasoned that TET2 deficiency is more ubiquitously involved in MDS pathogenesis than what would be expected by the only estimation of mutant cases. Indeed, "low expressor" status (defined by TET2 expression < 25%ile of HC) was found in 74% of MDS. Along with variable 5-hmC levels, concomitant differences in TET1/TET3 expression were also investigated. While TET1 levels were too low to be evaluated, TET3 expression levels were markedly higher in all and in WT MDS compared to HC, possibly in an attempt to compensate TET2 dysfunction (Fig1C). In addition, TET3 expression did not correlate with TET2 mutational burden, confuting a compensatory feedback mechanism in TET2 mutant cases. Further uni- and multivariate analyses showed that elevated TET3 levels compensated TET2 deficiency in terms of clinical outcomes (Fig1D) and linear regression analyses confirmed that indeed lack of compensation by TET3 (low TET3 expression) was associated with high risk features. To explore whether other factors might be associated with low TET2 levels, we studied TET2 expression in WT cases as to the presence of other mutations. We found that TET2 expression was significantly lower in patients harboring DNMT3A (P< 0.0001), SF3B1 (P< 0.0001) and SRSF2 (P= 0.04) compared to HC. However, lack of correlation between levels of TET2 and mutational burden failed to prove a direct relationship of these mutations (Fig1E). Decreased hydroxylation of 5-mC may also be caused by endogenous L-2-hydroxyglutarate (L2HG) produced via malate shunt. Accordingly, L2HG dehydrogenase (L2HGDH) levels catabolizing L2HG and malate dehydrogenases (MDH1/2) supplying L2HG, would influence TET2 activity in a reciprocal fashion. Consistently we found that MDH1/2 levels were increased in MDS and that L2HGDH showed also a likely compensatory increase to handle elevated L2HG loads. Further, linear regression analyses revealed that L2HGDH levels were correlated inversely with TET2 and positively with TET3 expression in WT cases (Fig1F). In sum, MDS can be considered a wide-ranging 5-hmC deficiency disorder driven by direct or indirect loss of TET2functions by mutations or down-modulation due to a variety of mechanisms. Disease phenotypes and outcomes are both influenced by counteracting factors such as expression of TET3. Application of precision therapeutic approaches should be informed by the analyses of all these factors. Figure 1 Figure 1. Disclosures Carraway: Astex: Other: Independent review committee; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Other: Independent review committee; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Other: Independent review committee; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kim: Paladin: Consultancy, Honoraria, Research Funding; Bristol-Meier Squibb: Research Funding; Pfizer: Honoraria; Novartis: Consultancy, Honoraria, Research Funding. Minden: Astellas: Consultancy. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Maciejewski: Bristol Myers Squibb/Celgene: Consultancy; Novartis: Consultancy; Regeneron: Consultancy; Alexion: Consultancy.

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Immunogenetic Drivers in Post-Transplant Acute Myeloid Leukemia Recurrence: Genomic Dysfunction of Human Leukocyte Antigen Diversity

Blood ◽

10.1182/blood-2021-153577 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 3921-3921

Author(s):

Simona Pagliuca ◽

Carmelo Gurnari ◽

Laila Terkawi ◽

Ishani Pandit ◽

Tariq Kewan ◽

...

Keyword(s):

T Cell ◽

Human Leukocyte Antigen ◽

Board Of Directors ◽

Research Funding ◽

Human Leukocyte ◽

Review Committee ◽

Advisory Committees ◽

Leukocyte Antigen ◽

Mutational Burden ◽

Independent Review

Abstract Structural and functional variability of human leukocyte antigen (HLA) is the foundation for competent anti-tumor and infectious adaptive immune responses. HLA genomic heterogeneity enables the presentation of a broad immune-peptidome, sustaining an efficient diversification of T cell receptor repertoires (TCR). 1,2,3 Any perturbation impacting this diversity may be at the basis of pathological processes, hampering antigen presentation capabilities and T-cell reactivity. In allogeneic hematopoietic cell transplantation (allo-HCT) setting, the graft versus leukemia (GvL) effect should ensure disease control allowing the recognition of recipient neoantigen burden by donor T-cell effectors. However, the molecular dissection of graft versus host responses (GvH) remains elusive. Herein, by means of a broad immunogenetic study of a cohort of patients with myeloid malignancies who received a donor matched allo-HCT, we investigated how dysfunction of HLA variability could have an impact on alloreactive responses, ultimately hindering disease control. To that end, we combined NGS-based HLA genotyping and TCR-beta sequencing to molecularly characterize the HLA region in terms of locus-specific divergence and somatic mutational profile, and dissect features and clonotypic spectra of TCR repertoires. We first hypothesized that more diverse HLA genotypes could better present leukemic neoantigen burden than less diverse complexes, enhancing the GvL effect. Hence, we performed a matched-pair analysis between allo-HCT recipients relapsing after 3mo (median 6.2 mo. [IQR=4.6-12]), N=75) compared to patients without recurrence (N=193, matched for ethnicity, age, disease, graft source and conditioning regimens) and characterized the patterns of HLA evolutionary divergence (HED), 1 a metric recently conceived to quantitate the pair-wise distance (based on physiochemical composition) between the amino acids located within the peptide-binding groove of two homologous HLA alleles. Overall, the relapsed group was characterized by a lower global (class I/II) mean HED (p=.0029) compared to non-relapsed patients, with major differences seen for C (p=.0041), DQB1 (p=.0291), and DPB1 (p=.0396) loci. When studying the landscape of post-transplant TCR reconstitution (+3 months) in a subset of 25 patients, we observed an inverse correlation between TCR clonal expansion and global HED (AdjR 2=0.04, p=<2e-16), contributing to decrease the diversity of TCR repertoires in patients with lower HED. Although not different in number, the expansion of clonotypes with known anti-cancer specificity was higher in non-relapsing group (p=6.3e-08), possibly underlying a better tumor-surveillance. Next, we sought to investigate the patterns of somatic HLA dysfunction in relapsing patients (intended as allelic loss or mutations). Indeed, through a recently implemented HLA mutational calling algorithm, we observed somatic events encompassing both class I and II alleles in 23% (N=8/34 profiled patients). Interestingly, when analyzing patients with relapse who received a donor lymphocyte infusion-based treatment (DLI), none of the cases harboring mutational events (N=4/4) responded to this salvage strategy. It is noteworthy that in this last group, one patient relapsed with an extramedullary localization along with the acquisition of HLA mutations. HLA mutated group had a higher (although not significant) leukemia mutational burden compared to non-mutated group (mean number of leukemia-associated mutations: 3.6 vs 1.9/patient), underscoring the need for further driver mutational events compensating the possible lower immunogenic potential of HLA mutant clones. Despite a mild increase in mutational burden, driver hits (such as IDH1/2, FLT3, TP53, NPM1) were never present in patients carrying HLA aberrations, who instead harbored in a few cases mainly lesions in epigenetic regulators and chromatin modifiers (TET2, EP300, DNMT3A, EZH2). Altogether these findings pinpoint the role of the dysfunction of the structural variability of HLA complexes within both germline (HED) and somatic (HLA loss/mutations) scenarios as mechanisms hampering a successful neoantigen presentation and TCR recovery processes, possibly conveying a higher risk of disease relapse or treatment-resistance. Disclosures Balasubramanian: Servier Pharmaceuticals: Research Funding. Carraway: Takeda: Other: Independent review committee; AbbVie: Other: Independent review committee; Stemline: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene, a Bristol Myers Squibb company: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astex: Other: Independent review committee. Hamilton: Syndax: Membership on an entity's Board of Directors or advisory committees; Equilium: Membership on an entity's Board of Directors or advisory committees. Majhail: Anthem, Inc: Consultancy; Incyte Corporation: Consultancy. Maciejewski: Bristol Myers Squibb/Celgene: Consultancy; Regeneron: Consultancy; Alexion: Consultancy; Novartis: Consultancy.

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Personalized Transcriptomic Analyses Identify Unique Signatures That Correlate with Genomic Subtypes in Acute Myeloid Leukemia (AML) Using Explainable Artificial Intelligence

Blood ◽

10.1182/blood-2020-139522 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 33-34 ◽

Cited By ~ 1

Author(s):

Yazan Rouphail ◽

Nathan Radakovich ◽

Jacob Shreve ◽

Sudipto Mukherjee ◽

Babal K. Jha ◽

...

Keyword(s):

Machine Learning ◽

Board Of Directors ◽

Research Funding ◽

State Of The Art ◽

Data Monitoring Committee ◽

Biological Pathways ◽

Machine Learning Algorithms ◽

Advisory Committees ◽

Altered Expression ◽

Individual Level

Background Multi-omic analysis can identify unique signatures that correlate with cancer subtypes. While clinically meaningful molecular subtypes of AML have been defined based on the status of single genes such as NPM1 and FLT3, such categories remain heterogeneous and further work is needed to characterize their genetic and transcriptomic diversity on a truly individualized basis. Further, patients (pts) with NPM1+/FLT3-ITD- AML have a better overall survival compared to patients with NPM1-/FLT3-ITD+, suggesting that these pts could have different transcriptomic signature that impact phenotype, pathophysiology, and outcomes. Many current transcriptome analytic techniques use clustering analysis to aggregate samples and look at relationships on a cohort-wide basis to build transcriptomic signatures that correlate with phenotype or outcome. Such approaches can undermine the heterogeneity of the gene expression in pts with the same signatures. In this study, we took advantage of state of the art machine learning algorithms to identify unique transcriptomic signatures that correlate with AML genomic phenotype. Methods Genomic (whole exome sequencing and targeted deep sequencing) and transcriptomic data from 451 AML pts included in the Beat AML study (publicly available data) were used to build transcriptomic signatures that are specific for AML patients with NPM1+/FLT3-ITD+ compared to NPM1+/FLT3-ITD, and NPM1-/FLT3-ITD-. We chose these AML phenotypes as they have been described extensively and they correlate with clinical outcomes. Results A total of 242 patients (54%) had NPM1-/FLT3-, 35 (8%) were NPM1+/FLT3-, and 47 (10%) were NPM1+/FLT3+. Our algorithm identified 20 genes that are highly specific for NPM1/FLT3ITD phenotype: HOXB-AS3, SCRN1, LMX1B, PCBD1, DNAJC15, HOXA3, NPTXq, RP11-1055B8, ABDH128, HOXB8, SOCS2, HOXB3, HOXB9, MIR503HG, FAM221B, NRP1, NDUFAF3, MEG3, CCDC136, and HIST1H2BC. Interestingly, several of those genes were overexpressed or underexpressed in specific phenotypes. For example, SCRN1, LMX1B, RP11-1055B8, ABDH128, HOXB8, MIR503HG, NRP1 are only overexpressed or underexpressed in patients with NPM1-/FLT3-, while PCBD1, NDUFAF3, FAM221B are overexpressed or underexpressed in pts with NPM1+/FLT3+. These genes affect several important pathways that regulate cell differentiation, proliferation, mitochondrial oxidative phosphorylation, histone modification and lipid metabolism. All these genes had previously been reported as having altered expression in genomic studies of AML, confirming our approach's ability to identify biologically meaningful relationships. Further, our algorithm can provide a personalized explanation of overexpressed and underexpressed genes specific for a given patient, thus identifying targetable pathways for each pt. Figure 1 below shows three pts with the same genotype (NPM1+/FLT3-ITD+) but demonstrate different transcriptomic patterns of overexpression or underexpression that affect different biological pathways. Conclusions We describe the use of a state of the art explainable machine learning approach to define transcriptomic signatures that are specific for individual pts. In addition to correctly distinguishing AML subtype based on specific transcriptomic signatures, our model was able to accurately identify upregulated and downregulated genes that affecte several important biological pathways in AML and can summarize these pathways at an individual level. Such an approach can be used to provide personalized treatment options that can target the activated pathways at an individual level. Disclosures Mukherjee: Partnership for Health Analytic Research, LLC (PHAR, LLC): Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; EUSA Pharma: Consultancy; Celgene/Acceleron: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squib: Honoraria; Aplastic Anemia and MDS International Foundation: Honoraria; Celgene: Consultancy, Honoraria, Research Funding. Maciejewski:Alexion, BMS: Speakers Bureau; Novartis, Roche: Consultancy, Honoraria. Sekeres:BMS: Consultancy; Takeda/Millenium: Consultancy; Pfizer: Consultancy. Nazha:Jazz: Research Funding; Incyte: Speakers Bureau; Novartis: Speakers Bureau; MEI: Other: Data monitoring Committee.

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PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome

Blood ◽

10.1182/blood.v126.23.176.176 ◽

2015 ◽

Vol 126 (23) ◽

pp. 176-176

Author(s):

Margaretha GM Roemer ◽

Ranjana H Advani ◽

Azra H. Ligon ◽

Yasodha Natkunam ◽

Robert A Redd ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Early Stage ◽

Prognostic Significance ◽

Genetic Alterations ◽

Genetic Alteration ◽

Newly Diagnosed ◽

Advisory Committees ◽

Therapy Regimen ◽

Clinical Risk

Abstract Introduction. Classical Hodgkin Lymphomas (cHL) include small numbers of malignant Reed-Sternberg (RS) cells within an extensive but ineffective inflammatory/immune cell infiltrate. In cHL, chromosome 9p24.1 alterations increase the abundance of the PD-1 ligands, PD-L1 and PD-L2, and their further induction via JAK2-STAT signaling. PD-1 ligands engage the PD-1 receptor on T-cells and induce PD-1 signaling and T-cell exhaustion. Tumor cells expressing PD-1 ligands on their surface utilize the PD-1 pathway to evade an effective immune response. In recent pilot studies, PD-1 blockade was associated with high response rates and durable remissions in relapsed/refractory cHL. The unique composition of cHL limits its analysis with high throughput genomic assays. Therefore, the precise incidence, nature and prognostic significance of PD-L1 and PD-L2 alterations in cHL remain undefined. Herein, we utilize a recently developed fluorescence in situ hybridization (FISH) assay to characterize 9p24.1/PD-L1/PD-L2 alterations in a cohort of 108 newly diagnosed cHL patients (pts) who were uniformly treated with StanfordV (a combined modality therapy regimen) and have longterm followup. Methods. Pts were characterized as Ann Arbor early stage I/II favorable risk (ES-F), early stage unfavorable risk (bulk ≥ 10cm or ≥ .33 mediastinal dimension and/or B symptoms) (ES-U) or advanced stage III/IV (AS). ES-F pts received 8 weeks of Stanford V and 30 Gy involved field radiation (IFR); ES-U and AS pts received 12 weeks of Stanford V and 36 Gy IFR to initial sites > 5 cm. FISH was performed on formalin-fixed paraffin-embedded diagnostic biopsy specimens using bacterial artificial chromosome probes which covered CD274/PD-L1 (labeled with spectrum orange) and PDCD1LG2/PD-L2 (labeled with spectrum green) and a control centromeric probe (spectrum aqua-labeled CEP9, from 9p11-q11). Malignant RS cells were identified by their nuclear morphologic features and 50 RS cells/case were analyzed. Nuclei with a target:control probe ratio of at least 3:1 were defined as amplified (amp), those with a probe ratio of more than 1:1 but less than 3:1 were classified as relative copy gain, and those with a probe ratio of 1:1 but more than 2 copies of each probe were defined as polysomic for chromosome 9p. In each case, the percent and magnitude of disomy, polysomy, copy gain and amp were noted. In accordance with clinically approved diagnostic criteria, cases were classified by the highest observed level of 9p24.1 alteration. Specifically, cases with polysomy lacked copy gain or amp and cases with copy gain lacked amp. Immunohistochemical staining for PD-L1/PAX5 was performed as previously described and PD-L1 expression in PAX5 dim+ malignant RS cells and PAX5- infiltrating normal cells was assessed separately. Results. Almost all newly diagnosed cHL pts in this series had concordant alterations of the PD-L1 and PD-L2 loci; disomy was found in only 1% (1/108), polysomy in 5% (5/108), copy gain in 56% (61/108) and amp in 36% (39/108) of study pts. There was a correlation between intensity of PD-L1 protein expression and relative genetic alterations in this series. Two additional pts had translocations of PD-L1 or PD-L2 (2%, 2/108). We next assessed the association between specific types of PD-L1/PD-L2 alterations, clinical risk factors and outcome. Overall, the progression-free survival (PFS) was significantly lower for AS pts compared to ES-F/U pts (p=0.017). A model of PFS for the cHL pts by genetic alteration indicated that PFS was also significantly lower for pts with amp (p=0.02). Consistent with these findings, the incidence of 9p24.1 amp increased by clinical risk group: ES-F, 24%; ES-U, 34%; and AS, 50% (p=0.024, Kruskal-Wallis test). Therefore, we fit a full model of clinical and genetic factors including B-symptoms, bulk, stage and amp. Despite the association of amp with increased clinical risk groups, the genetic alteration further delineated PFS in the multivariate model (p=0.075). Conclusions. PD-L1/PD-L2 alterations are a defining feature of cHL with rare polysomy and more frequent copy gain and amp. There is an increased incidence of amp in pts with AS disease and a highly significant association of PD-L1/PD-L2 amp with PFS. These findings underscore the importance of genetically defined PD-1 mediated immune evasion in cHL and provide a rationale for the efficacy of PD-1 blockade in this disease. Disclosures Rodig: Perkin Elmer: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding. Shipp:BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding; Gilead: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees.

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Targeted Genomic Mutation Panel (M3 P) Results from 504 Multiple Myeloma (MM) Patients

Blood ◽

10.1182/blood.v126.23.1795.1795 ◽

2015 ◽

Vol 126 (23) ◽

pp. 1795-1795

Author(s):

K Martin Kortuem ◽

Esteban Braggio ◽

Pieter Sonneveld ◽

Laura Ann Bruins ◽

Santiago Barrio ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Clinical Care ◽

Prognostic Significance ◽

Gene Panel ◽

Advisory Committees ◽

P Gene ◽

New Findings ◽

Travel Grant

Abstract Introduction: Customized gene panel sequencing is an attractive approach to genomic tumor characterization in clinical care. Based on published MM exome data we developed a MM Mutation Panel (M3 P) that includes the most commonly mutated genes, actionable drug targets, genes targeted by current standard of care (SOC) therapies and which allows tracking of clonal evolution, copy number and sample purity. Methods and Material: M3 P (v3.0) covers 88 genes (1327 amplicons, 181kb). MM samples from 504 patients (pts) have been analyzed (corresponding germline in 81%) through collaborations between Mayo Clinic and Hospital-12-de-Octubre (Madrid, Spain), the DSMM and GMMG (Würzburg, Ulm, Freiburg and Heidelberg, Germany) and the HOVON trial groups (Rotterdam, The Netherlands). The investigated cohort includes 410 untreated pts (81%), which includes a high risk cohort of 72 pts with del17p, 25 paired samples with later follow up from the same cohort, and 94 relapsed patients, of which 50 were relapsed and refractory. Results: Overall coverage per mutation averaged >500x depth. We identified 945 variants (1.9 per pt) and in 83% of the pts a mutation was found. Clonal heterogeneity was assessed with mutations ranging from 3%-100% variant reads suggesting the presence of a significant number of subclones (e.g. 21% of mutations were in < 10% of reads). The mutation incidence was compared with and closely resembles the most recent MM comprehensive genomic data from the MMRF CoMMpass study: We compare here all pts sequenced by M3 P, untreated pts sequenced by M3 P and CoMMpass: KRAS (24%/23%/24%), NRAS (20%/20%/18%), DIS3 (13%/14%/10%), BRAF (9%/7%/6%), FAM46C (6%/6%/8%) and TRAF3 (6%/6%/7%). TP53 mutation incidence, however, was significantly increased in our cohort (14%/12%/4.2%), a difference explained by the inclusion of del17p (untreated) and relapsed refractory MM in panel sequenced pts, cohorts with elevated incidences of TP53 mutations (32% / 26% respectively). Potentially actionable targets include BRAF mutationsin 43 patients (9%), with druggable p.V600E in 19 or 5%, 8 pts (2%) with FGFR3 (p.R248C and p.G375C one patient each), p.R132 mutation in 4 out of 5 IDH1 (1%) and p.R172K IDH2 mutation in 1 of 3 (1%) pts. Mutations in the MAPK pathway (NRAS, KRAS, BRAF) were detected in 59% of pts, ranging from 36% untreated MM to 72% in refractory MM. Similarly, the CRBN/CUL4B/IKZF1/IKZF3/IRF4 pathway, important for IMiD function, harbored a significant enrichment of mutations in advanced disease (6% untreated vs 17% relapsed), including CRBN mutations (0.5% vs 7%). Nine of 17 IRF4 mutations were located at the p.K123R hotspot, with minor difference between early or late disease (1% vs 3%). Notably, in 8 of 9 pts with CRBN mutation and clinical information, all were unresponsive to IMiD therapy, supporting association of these mutations with resistance to IMiDs. Conversely, M3 P genes related to other SOC therapies, including NR3C1 (targeted by steroids) and 5 proteasome subunit genes (proteasome inhibitors), were rarely mutated across the cohorts not exceeding 1% mutation incidence for each gene. Significant differences in DIS3 and FAM46C mutation incidences were observed across cohorts: DIS3 mutations are more common in untreated pts with a 1.7 fold increased predominance (14% untreated and 8% treated). FAM46C has an expected incidence of 8% but was rarely mutated in untreated del17p high risk disease with only one of 100 patients harboring both mutations. The significance of this finding needs to be determined but implies a possible overlap in function. Finally we assessed impact on survival of the mutation variants identified in 142 untreated Mayo patients and found STAT3 mutations negatively impacting PFS (p=0.034) and OS (p=0.001). This gene is rarely mutated in MM (2% of the total cohort) thus the sample size was small and this finding needs further validation. Conclusion: We here describe 504 MM patients sequenced using the M3 P gene panel, which identified mutations in >80% of investigated patients, overlaps well with published whole exome sequence data and provides clinically relevant information. New findings were the high frequency of minor clones, the relative lack of overlap of del17 and FAM46C mutation, a higher frequency of DIS3 mutation at diagnosis compared to relapse, the prognostic significance of STAT3 mutation and the frequent presence of CRBN pathway mutation in drug resistant relapsed patients. Disclosures Sonneveld: Janssen-Cilag, Celgene, Onyx, Karyopharm: Honoraria, Research Funding; novartis: Honoraria. Mai:Janssen-Cilag: Other: Travel Grant; Onyx: Other: Travel Grant; Mundipharma: Other: Travel Grant; Celgene: Other: Travel Grant. Goldschmidt:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Chugai: Honoraria, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Knop:Celgene Corporation: Consultancy. Kull:Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees. Martinez-Lopez:Novartis: Honoraria, Research Funding; Bristol-Meyer Squibb: Honoraria; Celgene: Honoraria; Janssen: Honoraria. Einsele:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Amgen/Onyx: Consultancy, Honoraria, Speakers Bureau. Raab:Novartis: Research Funding. Stewart:Oncospire Inc.: Equity Ownership; Celgene: Consultancy; Novartis: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees.

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Machine Learning Prediction for Complete Response to Hypomethylating Agents with or without Additional Agents in Patients with Newly Diagnosed Myelodysplastic Syndrome

Blood ◽

10.1182/blood-2019-130155 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1720-1720

Author(s):

Koji Sasaki ◽

Guillermo Montalban Bravo ◽

Rashmi Kanagal-Shamanna ◽

Elias Jabbour ◽

Farhad Ravandi ◽

...

Keyword(s):

Machine Learning ◽

Board Of Directors ◽

Research Funding ◽

Area Under The Curve ◽

Complete Response ◽

Learning Model ◽

Hypomethylating Agents ◽

Newly Diagnosed ◽

Advisory Committees ◽

Machine Learning Model

Background: Myelodysplastic syndrome (MDS) is a heterogeneous malignant myeloid neoplasm of hematopoietic stem cells due to cytogenetic alterations and somatic mutations in genes (DNA methylation, DNA repair, chromatin regulation, RNA splicing, transcription regulation, and signal transduction). Hypomethylating agents (HMA) are the standard of care for MDS, and 40-60% of patients achieved response to HMA. However, the prediction for response is difficult due to the nature of heterogeneity and the context of clinical conditions such as the degree of cytopenias and the dependency on transfusion. Machine learning outperforms conventional statistical models for prediction in statistical competitions. Prediction with machine learning models may predict response in patients with MDS. The aim of this study is to develop a machine learning model for the prediction of complete response (CR) to HMA with or without additional therapeutic agents in patients with newly diagnosed MDS. Methods: From November 2012 to August 2017, we analyzed 435 patients with newly diagnosed MDS who received frontline therapy as follows; azacitidine (AZA) (3-day, 5-day, or 7-day) ± vorinostat ± ipilimumab ± nivolumab; decitabine (DAC) (3-day or 5-day) ± vorinostat; 5-day guadecitabine. Clinical variables, cytogenetic abnormalities, and the presence of genetic mutations by next generation sequencing (NGS) were included for variable selection. The whole cohort was randomly divided into training/validation and test cohorts at an 8:2 ratio. The training/validation cohort was used for 4-fold cross validation. Hyperparameter optimization was performed with Stampede2, which was ranked as the 15th fastest supercomputer at Texas Advanced Computing Center in June 2018. A gradient boosting decision tree-based framework with the LightGBM Python module was used after hyperparameter tuning for the development of the machine learning model with training/validation cohorts. The performance of prediction was assessed with an independent test dataset with the area under the curve. Results: We identified 435 patients with newly diagnosed MDS who enrolled on clinical trials as follows: 33 patients, 5-day AZA; 23, 5-day AZA + vorinostat; 43, 3-day AZA; 20, 5-day AZA + ipilimumab; 19 patients, AZA + nivolumab; 7, AZA + ipilumumab + nivolumab; 114, 5-day DAC; 74, 3-day DAC; 4, DAC + vorinostat; 97, 5-day guadecitabine. In the whole cohort, the median age at diagnosis was 68 years (range, 13.0-90.3); 117 (27%) patients had a history of prior radiation or cytotoxic chemotherapy; the median white blood cell count was 2.9 (×109/L) (range, 0.5-102); median absolute neutrophil count, 1.1 (×109/L) (range, 0.0-55.1); median hemoglobin count, 9.5 (g/dL) (range, 4.7-15.4); median platelet count, 63 (×109/L) (range, 2-881); and median blasts in bone marrow, 8% (range, 0-20). Among 411 evaluable patients for the revised international prognostic scoring system, 15 (4%) had very low risk disease; 42 (10%), low risk; 68 (17%), intermediate risk; 124 (30%), high risk; and 162 (39%), very high risk. Overall, 153 patients (53%) achieved CR. Hyperparameter tuning identified the optimal hyperparameters with colsample by tree of 0.175, learning rate of 0.262, the maximal depth of 2, minimal data in leaf of 29, number of leaves of 11, alpha regularization of 0.010, lambda regularization of 2.085, and subsample of 0.639. On the test cohort with 87 patients, the machine learning model accurately predicted response in 65 patients (75%); 53 non-CR among 56 non-CR (95% accuracy); and 12 CR among 31 CR (39% accuracy). The trend of accuracy improvement by iteration (i.e., the number of decision trees) is shown in Figure 1. The area under the curve was 0.761521 in the test cohort. Conclusion: Our machine learning model with clinical, cytogenetic, and NGS data can predict CR to HMA in patients with newly diagnosed MDS. This approach can identify patients who may benefit from HMA therapy with and without additional agents for response, and can optimize the timing of allogeneic stem cell transplant. Disclosures Sasaki: Otsuka: Honoraria; Pfizer: Consultancy. Jabbour:Takeda: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Adaptive: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; AbbVie: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Cyclacel LTD: Research Funding. Ravandi:Cyclacel LTD: Research Funding; Selvita: Research Funding; Menarini Ricerche: Research Funding; Macrogenix: Consultancy, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Xencor: Consultancy, Research Funding. Kadia:Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Bioline RX: Research Funding; Jazz: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Research Funding; BMS: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Takahashi:Symbio Pharmaceuticals: Consultancy. DiNardo:syros: Honoraria; jazz: Honoraria; agios: Consultancy, Honoraria; celgene: Consultancy, Honoraria; notable labs: Membership on an entity's Board of Directors or advisory committees; medimmune: Honoraria; abbvie: Consultancy, Honoraria; daiichi sankyo: Honoraria. Cortes:Novartis: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Immunogen: Consultancy, Honoraria, Research Funding; Sun Pharma: Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Astellas Pharma: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Merus: Consultancy, Honoraria, Research Funding; Forma Therapeutics: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; BiolineRx: Consultancy; Biopath Holdings: Consultancy, Honoraria; Takeda: Consultancy, Research Funding. Kantarjian:AbbVie: Honoraria, Research Funding; Cyclacel: Research Funding; Pfizer: Honoraria, Research Funding; Astex: Research Funding; Agios: Honoraria, Research Funding; Jazz Pharma: Research Funding; Daiichi-Sankyo: Research Funding; Novartis: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Immunogen: Research Funding; Takeda: Honoraria; BMS: Research Funding; Ariad: Research Funding; Amgen: Honoraria, Research Funding. Garcia-Manero:Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding.

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