scholarly journals A Pilot Study of Comprehensive Genomic Profiling for Pediatric and Adolescent and Young Adult Solid Tumor Patients in Japan

2021 ◽  
Author(s):  
Shotaro Matsudera ◽  
Yoshihito Kano ◽  
Yasuko Aoyagi ◽  
Kohki Tohyama ◽  
Kei Ogino ◽  
...  
Keyword(s):  
Solid Tumor ◽  
Wilms Tumor ◽  
Adolescent And Young Adult ◽  
Genomic Alteration ◽  
Genomic Profiling ◽  
Tumor Patients ◽  
Comprehensive Genomic Profiling ◽  
Healthcare Insurance ◽  
Tumor Types ◽  
Basket Trials

Background: Comprehensive genomic profiling (CGP) was widely adopted in Japan after its coverage by national healthcare insurance began in June 2019. We investigated the clinical utility of CGP in pediatric and adolescent young adults (AYA) solid tumor patients. Procedure: Between November 2017 and December 2019, 13 patients who progressed with or who were likely to progress with standard therapies were recruited to the PROFILE-F study to undergo CGP using either FoundationOne® CDx or FoundationOne® Heme. Results: The median age was 28 years old. Tumor types were as follows: neuroblastoma (n=1), Wilms’ tumor (n=1), rhabdomyosarcoma (n=2), Ewing sarcoma (n=1), gastric cancer (n=1), rectal cancer (n=1), osteosarcoma (n=1), neuroendocrine tumor (n=2), salivary gland carcinoma (n=1), tracheal adenoid cystic carcinoma (n=1), and thymic cancer (n=1). In 92% of cases, at least one genomic alteration was identified, including CDKN2A (four cases), TP53 (three cases), and MYC (two cases). Actionable aberrations were found in 10 cases (77%), and a clinical trial candidate was found in seven cases (54%). However, no patients were able to receive biomarker-matched therapy according to their genomic alterations. Conclusions: Further efforts to increase basket trials and collection of clinical genomic data to predict response are necessary to advance precision cancer medicine in pediatric and AYA populations.

scholarly journals Clinical utility of comprehensive genomic profiling in central nervous system tumors of children and young adults

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Jianling Ji ◽  
Kristiyana Kaneva ◽  
Matthew C Hiemenz ◽  
Girish Dhall ◽  
Tom Belle Davidson ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Clinical Utility ◽  
Adolescent And Young Adult ◽  
Cns Tumors ◽  
Chromosomal Microarray ◽  
Chromosomal Microarray Analysis ◽  
Genomic Profiling ◽  
Comprehensive Genomic Profiling ◽  
Clinically Significant

Abstract Background Recent large-scale genomic studies have revealed a spectrum of genetic variants associated with specific subtypes of central nervous system (CNS) tumors. The aim of this study was to determine the clinical utility of comprehensive genomic profiling of pediatric, adolescent and young adult (AYA) CNS tumors in a prospective setting, including detection of DNA sequence variants, gene fusions, copy number alterations (CNAs), and loss of heterozygosity. Methods OncoKids, a comprehensive DNA- and RNA-based next-generation sequencing (NGS) panel, in conjunction with chromosomal microarray analysis (CMA) was employed to detect diagnostic, prognostic, and therapeutic markers. NGS was performed on 222 specimens from 212 patients. Clinical CMA data were analyzed in parallel for 66% (146/222) of cases. Results NGS demonstrated clinically significant alterations in 66% (147/222) of cases. Diagnostic markers were identified in 62% (138/222) of cases. Prognostic information and targetable genomic alterations were identified in 22% (49/222) and 18% (41/222) of cases, respectively. Diagnostic or prognostic CNAs were revealed by CMA in 69% (101/146) of cases. Importantly, clinically significant CNAs were detected in 57% (34/60) of cases with noncontributory NGS results. Germline cancer predisposition testing was indicated for 27% (57/212) of patients. Follow-up germline testing was performed for 20 patients which confirmed a germline pathogenic/likely pathogenic variant in 9 cases: TP53 (2), NF1 (2), SMARCB1 (1), NF2 (1), MSH6 (1), PMS2 (1), and a patient with 47,XXY Klinefelter syndrome. Conclusions Our results demonstrate the significant clinical utility of integrating genomic profiling into routine clinical testing for pediatric and AYA patients with CNS tumors.

FoundationOne as a relevant tool for comprehensive genomic profiling and assessment of tumor mutation burden in the era of precision oncology in India.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23096-e23096
Author(s):  
Amit Verma ◽  
Nitesh Rohatgi ◽  
Pramod Kumar Julka ◽  
Meenu Walia ◽  
Ankur Bahl ◽  
...  
Keyword(s):  
Tyrosine Kinases ◽  
Mutation Frequency ◽  
Unknown Primary ◽  
Precision Oncology ◽  
Tumor Type ◽  
Genomic Profiling ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Comprehensive Genomic Profiling ◽  
Tumor Types

e23096 Background: Comprehensive genomic profiling (CGP) is gaining acceptability globally, but clinical experience in developing countries like India is limited. CGP identifies genomic alterations (GA), with tumor mutation burden (TMB) and microsatellite status (MSI), revealing therapeutic options such as targeted inhibitors and immunotherapies. We sought to evaluate the mutation frequency and actionability across tumors. Methods: Metastatic and/or refractory patients (referred to Personalized Cancer Medicine Clinic) underwent CGP analysis, including calculation of TMB and MSI, using a targeted NGS panel (FoundationOne, 53 samples; FoundationOne Heme, 4 samples). This panel detects all relevant classes of GA: base substitutions, small indels, rearrangements and copy number changes. Mutation frequencies were compared with the larger Foundation database. TMB status was reported as low (≤5 mutations/Mb), intermediate (6-19 mut/Mb) or high (≥20 mut/Mb). Results: The most common tumor types were lung (23%), breast (14%) and sarcoma (12%); other tumor types, including unknown primary constituted the rest (51%). Most samples were from metastatic sites (60%). Oncogenic GA were found in 131 genes across all tumor subtypes and affected major pathways: apoptosis/cell cycle (31%), PI3K (14%), transcriptional regulation (13%), and receptor tyrosine kinases (10%). Among these GA, 38 were considered actionable and were distributed across 43 (75%) samples. Therapies with FDA approval for the tumor type analyzed were indicated for 18 samples; an additional 25 samples had GA associated with therapies FDA approved for another indication. More than 1 actionable GA was identified in 24/43 (56%). TMB status was low in 36 (63%), intermediate in 19 (33%) and high in 2 (3.5%). High TMB status correlated with high MSI status (p < 0.001). Trend observed in the mutation frequency was comparable with the larger Foundation database. Conclusions: This is the first study in India showing CGP identified actionable targets associated with FDA approved therapies in approx. 32% of cases. TMB status identified 2/57 samples with high mutation burden for whom immunotherapy might be relevant.

Comprehensive genomic profiling to identify tumor mutational burden (TMB) as an independent predictor of response to immunotherapy in diverse cancers.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14508-e14508 ◽  
Author(s):  
Aaron Goodman ◽  
Shumei Kato ◽  
Lyudmila Bazhenova ◽  
Sandip Pravin Patel ◽  
Garrett Michael Frampton ◽  
...  
Keyword(s):  
Strong Dependence ◽  
Multivariable Analysis ◽  
Favorable Outcome ◽  
Genomic Profiling ◽  
Outcome Parameters ◽  
Patients With Cancer ◽  
Comprehensive Genomic Profiling ◽  
Response Biomarker ◽  
Tumor Mutational Burden ◽  
Tumor Types

e14508 Background: Immunotherapy induces durable responses in a subset of patients with cancer. High TMB may be a response biomarker for PD-1/PD-L1 blockade in tumors such as melanoma and non-small cell lung cancer (NSCLC). Our aim was to examine the relationship between TMB and outcome in diverse cancers treated with various immunotherapies. Methods: We reviewed data on 1,638 patients who had undergone comprehensive genomic profiling and had TMB assessment. Immunotherapy-treated patients (N = 151) were analyzed for response rate (RR), progression-free and overall survival (PFS, OS). Results: Higher TMB was independently associated with better outcome parameters (multivariable analysis). The RR for patients with high (≥ 20 mutations/mb) vs. low to intermediate TMB was 22/38 (58%) vs. 23/113 (20%) (P = 0.0001); median PFS, 12.8 vs. 3.3 months (P = <0.0001); median OS, not reached vs. 16.3 months (P = 0.0036) (Table). Results were similar when anti-PD-1/PD-L1 monotherapy was analyzed (N = 102 patients), with a linear correlation between higher TMB and favorable outcome parameters; the median TMB for responders vs. non-responders treated with anti-PD-1/PD-L1 monotherapy was 18.0 vs. 5.0 mutations/mb (P < 0.0001). Comparable data was observed when patients with melanoma (N = 52) and NSCLC (N = 36) were excluded (N = 63 patients; 19 tumor types). Interestingly, anti-CTLA4/anti-PD-1 combinations vs. anti-PD-1/PD-L1 monotherapy was selected as a factor independent of TMB for predicting better RR (77% vs. 21%) (P = 0.004) and PFS (P = 0.024). Conclusions: Higher TMB predicts favorable outcome to PD-1/PD-L1 blockade across diverse tumors. Benefit from dual checkpoint blockade did not show a similarly strong dependence on TMB. [Table: see text]

Comprehensive genomic profiling of urethral cancer to reveal distinctive features compared to bladder cancer.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 429-429
Author(s):  
Tanya B. Dorff ◽  
Julia Andrea Elvin ◽  
Jo-Anne Vergilio ◽  
James Suh ◽  
Shakti Ramkissoon ◽  
...  
Keyword(s):  
Cell Carcinoma ◽  
Genomic Alteration ◽  
Genomic Profiling ◽  
Rare Form ◽  
Distinctive Features ◽  
Ffpe Specimen ◽  
Comprehensive Genomic Profiling ◽  
Tumor Mutational Burden ◽  
Copy Number Changes ◽  
Homozygous Deletions

429 Background: Relapsed and refractory urethral cancer (UrethC) is a rare form of genito-urinary malignancy that includes urothelial carcinoma (UC), squamous cell carcinoma (SCC), adenocarcinoma (AC) and clear cell carcinoma (CCC) subtypes. No standard treatment exists. Methods: DNA was extracted from 40 microns of FFPE specimen from 46 cases of mUrethC. Comprehensive genomic profiling (CGP) was performed using a hybrid-capture, adaptor ligation based next generation sequencing assay to a mean coverage depth of >500X. Tumor mutational burden (TMB) was calculated from a minimum of 1.11 Mb of sequenced DNA as previously described and reported as mutations/Mb. The results were analyzed for all classes of genomic alterations (GA), including base substitutions, insertions and deletions (short variants; SV), fusions, and copy number changes including amplifications (amp) and homozygous deletions. Results: The clinical features, GA, TMB findings in the mUrethC patients and the subtypes of UrethC are shown in the Table. In comparison with 1,183 similarly profiled UC of the bladder (UCB), all 46 mUrethC and the 21 urothelial mUrethC as a separate group widely differed in GA frequencies. With the exception of similar TP53 GA frequencies, there were significantly lower GA in ERBB2, FGFR1-3 and PIK3CAin the mUrethC cases (p<0.0001 for all comparisons) In addition, mUrethC featured as significantly lower frequency of TMB > 20 mut/Mb (4%; p=0.0001). Conclusions: CGP of mUrethC reveals distinctive genomic alteration frequencies among the 4 disease subtypes with higher numbers of GA in the AC than in the UC, SCC and CCC. The TMB appears to be lower in mUrethC than classically seen in UCB where checkpoint inhibition is now approved. Further study of this rare form of genitourinary cancer appears warranted. [Table: see text]

Comprehensive genomic profiling of ctDNA in patients with colon cancer and its fidelity to the genomics of the tumor biopsy.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 569-569 ◽  
Author(s):  
Jeffrey P. Gregg ◽  
Gerald Li ◽  
Dean Pavlick ◽  
Jon Chung ◽  
Matthew Cooke ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Stage Iv ◽  
Prospective Clinical Study ◽  
Genomic Profiling ◽  
Blood Draw ◽  
Tumor Biopsy ◽  
Comprehensive Genomic Profiling ◽  
Tumor Types ◽  
Ct Dna ◽  
Clinical Trial Information

569 Background: The liquid biopsy offers the ability to non-invasively analyze the genome of a tumor through circulating tumor (ct) DNA to identify targetable and prognostic genomic alterations. Few studies have rigorously analyzed ctDNA results and determined the fidelity with which they recapitulate the genomics of the tumor. The clinical utility study (CUS) for FoundationACT (Foundation Medicine, Cambridge, MA; NCT02620527) is a large multi-center prospective clinical study to validate this ctDNA assay for multiple solid tumor types. In this subset of the CUS study, paired specimens from 98 patients with colon cancer were analyzed with comprehensive genomic profiling of the tumor (FoundationOne) and a blood sample (FoundationACT). Methods: Maximum somatic allele fraction (MSAF) was used to estimate the fraction of ctDNA in the sample. The set of genes and targeted regions common to both FoundationOne and FoundationACT were compared for each subject. Results: 60% were male; 73 had stage IV, 17 had stage III, and 8 had stage II disease. 16% of cases had an MSAF value of 0, indicating that no ctDNA were in these samples. For the cases with MSAF > 0, 153 insertion/deletions (indels)/substitutions were identified in the tumor, and 73% of these identical alterations were also identified in the ctDNA samples. As robust analytical performance for FoundationACT has been demonstrated at MSAF > 0.5% for indel/subs, further analysis was conducted using this threshold. 83% of the alterations identified with FoundationOne were identified with FoundationACT. Further, 90% of NRAS/KRAS and 75% BRAF alterations (NCCN guideline genes) were concordant between the two assays. Lastly, there were 11 patients with tumor biopsy and blood draw taken within 30 days of each other, and in these there was 100% concordant. Association of the genomics results with other clinical variables will be presented for the available subset of patients. Conclusions: In cases where tumor profiling is not possible, these results provide compelling evidence that comprehensive molecular profiling of ctDNA in colon cancer can be used to identify most clinically relevant alterations and has fidelity to the genomics of the tumor. Clinical trial information: NCT02620527.

Adenocarcinoma (ACB), urothelial carcinoma (UCB) and squamous cell carcinoma (SCCB) of the bladder: A Comprehensive Genomic Profiling (CGP) Study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4533-4533 ◽  
Author(s):  
Joseph Jacob ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Nick Liu ◽  
Elizabeth Kate Ferry ◽  
...  
Keyword(s):  
High Status ◽  
Genomic Profiling ◽  
Dna Repair Genes ◽  
Genomic Profile ◽  
Hybrid Capture ◽  
Mutational Burden ◽  
Comprehensive Genomic Profiling ◽  
Tumor Mutational Burden ◽  
Tumor Types ◽  
Repair Genes

4533 Background: We performed a CGP to compare the genomic alterations (GA) in ABC, UBC and SCCB. Methods: 143 cases of ACB, 2,142 cases of UCB and 83 cases of SCCB were subjected to CGP using a hybrid-capture based assay. Tumor mutational burden (TMB) was determined on 1.1 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on 114 loci. PD-L1 expression was determined by IHC. Results: ABC patients were younger and more often female than UBC and SCCB (P < 0.0001). UBC and SCCB had a higher GA/tumor than ABC (P = 0.01). Un-targetable GA were similar in all 3 groups involving TP53 and KRAS. APC GA were more frequent in ABC whereas TERT, CDKN2A/B and DNA-repair genes ( ARID1A and KDM6A) more frequently altered in UBC and SCCB. Targetable MTOR pathway GA ( PIK3CA, TSC1, PTEN) were more frequent in UBC and SCCB as were targetable kinase alterations ( FGFR3 and ERBB2). The UBC and SCCB had a significantly higher TMB than ABC (P < 0.0001) including mean TMB and TMB > 20 mut/Mb (P < 0.0001). CD274 (PD-L1) was amplified more frequently in SCCB than ACB or UBC (P < 0.0001). MSI high status was very uncommon in all tumor types. Conclusions: Deep sequencing reveals that ABC features a widely different genomic profile from UBC and SCCB. UBC has the highest frequencies of targetable kinase GA and high TMB. SCCB has the highest frequencies of IO efficacy predicting biomarkers including mean TMB and PD-L1 amp. Nonetheless, ABC does feature potential kinase targets such as FGFR3 and ERBB2. [Table: see text]

The emerging target KRAS G12C in genitourinary malignancies.

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 434-434
Author(s):  
Petros Grivas ◽  
Andrea Necchi ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Joseph Jacob ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Clear Cell ◽  
Ffpe Tissue ◽  
Genomic Alteration ◽  
Genomic Profiling ◽  
Mutational Burden ◽  
Comprehensive Genomic Profiling ◽  
Tumor Mutational Burden ◽  
Urothelial Bladder ◽  
Bladder Carcinomas

434 Background: KRAS has recently emerged as a druggable driver with novel agents targeting G12C genomic alteration (GA). Methods: FFPE tissue from 1453 renal clear cell carcinomas (RCCC), 3879 urothelial bladder carcinomas (UBC) and 8322 prostate acinar adenocarcinomas (PAAC) underwent comprehensive genomic profiling (CGP). Tumor mutational burden (TMB) was determined on 0.8 to 1.2 Mbp of sequenced DNA and MSI was determined on 114 loci. PD-L1 expression (Dako 22C3) was measured by IHC. Results: KRAS GA were identified in 7 RCCC (<1%), 202 UBC (5.2%), and 158 PAAC (1.9%). KRAS G12C mutations were observed in 0 RCCC, 24 (2%) of UBC, and 1 (<1%) PAAC. Age/gender distributions were similar. VHL, SETD2, and PBRM1 mutations were the most frequent concurrent GA in the 7 RCCC with KRAS G12C GA. In KRAS G12C mutated UBC, co-mutations in TERT were significantly reduced and in KDM6A were significantly increased (both p<0.05) in cases with KRAS G12C GA versus KRAS G12C negative tumors. Conclusions: KRAS G12C mutations are extremely rare in the major genitourinary malignancies. However, given the emerging interest in identifying KRAS G12C for potential basket-type clinical trials using novel anti-KRAS G12C targeted therapies, further study of these alterations in genitourinary malignancies, especially bladder and prostatic carcinomas, appears warranted.[Table: see text]

Anal melanoma: A comparative comprehensive genomic profiling study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 9566-9566
Author(s):  
Jeffrey S. Ross ◽  
Russell Madison ◽  
Julia Andrea Elvin ◽  
Jo-Anne Vergilio ◽  
Jonathan Keith Killian ◽  
...  
Keyword(s):  
Uv Light ◽  
Light Exposure ◽  
Mtor Pathway ◽  
Braf V600e ◽  
Genomic Profiling ◽  
Genomic Alterations ◽  
Comprehensive Genomic Profiling ◽  
Tumor Mutational Burden ◽  
Ffpe Tissues ◽  
Tumor Types

9566 Background: We performed a comprehensive genomic profiling (CGP) study of AM and CM to learn of potential genomic alterations (GA) linked to targeted and immune checkpoint inhibitor (ICPI) therapies. Methods: 90 AM and 1804 CM FFPE tissues from late stage underwent hybrid-capture based CGP to evaluate all classes of genomic alterations (GA). Tumor mutational burden (TMB) was determined on up to 1.1 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on 114 loci. PD-L1 expression was determined by IHC. Results: AM and CM had a similar age, but AM females and CM males were significantly more common (P < 0.0001). GA/tumor was significantly higher in CM (UV light exposure) as were the median TMB and frequency of TMB ≥ 10 and 20 mutations/Mb (P < 0.0001 for all comparisons). PD-L1 expression was higher in AM than CM (P = 0.0023). AM and CM were all MS-stable. The contrast in S FB1 mutations in AM and TERT GA in CM were significant (P < 0.0001). Of potentially targetable GA, AM featured significantly more KIT GA than CM (P < 0.0001), whereas CM featured significantly more BRAF GA (P < 0.0001). Only 11% of AM BRAF GA were V600E whereas 74% of CM BRAF GA were V600E (P < 0.0001). MTOR pathway GA were common in both tumor types. Additional potentially targetable alterations in PDGFRA and ERBB2 kinases were seen in AM but not in CM. Conclusions: CM is distinct from AM featuring higher GA/tumor, higher TMB and frequent BRAF V600E GA that predict benefit from ICPI and anti-BRAF therapies. Although both AM and CM feature MTOR pathway targets, AM does have higher PD-L1 expression than CM and is characterized by an array of potentially targetable kinase genes including KIT, PDGFRA, ERBB2 and to a lesser extent than CM, BRAF.[Table: see text]

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