Comprehensive genomic profiling (CGP) in post-systemic treatment (Post) metastatic sites (MET) and pretreatment (Pre) primary tumors (PT) of metastatic prostate cancer (mPC).

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 175-175
Author(s):  
Andrea Necchi ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Joseph Jacob ◽  
...  

175 Background: CGP was performed on Pre PT and Post MET including bone (BO), liver (LIV), lung (LU), brain (BN), lymph node (LN) and soft tissue (ST) mPC. Methods: 1,294 mPC underwent hybrid-capture based CGP. 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 (Dako 22C3). Results: GA in AR were lowest in the Pre PT (2%) and highest in Post LU (24%) and LIV (50%). GA/tumor was significantly higher in BN (8.0) compared to PT (3.8). BR MET also featured higher PTEN GA than PT. BRCA2 GA varied from 0% in BR to 7-9% in PT, BO, LU, LN and ST to a high of 15% in LI MET. ATM GA were significantly higher in LU MET and RAD21 GA highest in LN MET. Potential predictors of IO drug response included high CDK12 GA in LU MET, MSI high status at 29% in BR MET associated with higher TMB levels, but virtual absence of high PD-L1 expression. ERBB2 GA appeared to be increased in the MET group compared with PT but BRAF GA were not. RB1 GA were significantly increased in LIV MET cases. Conclusions: CGP of mPC PT and MET demonstrates significant differences likely linked to exposure to systemic therapies. These findings suggest that, in the future, liquid biopsies may have advantages over individual MET site biopsies in their ability to capture the entire range of therapeutic opportunities for patients with advanced mPC.[Table: see text]

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 5534-5534
Author(s):  
Andrea Necchi ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Joseph M Jacob ◽  
...  

5534 Background: Comprehensive genomic profiling (CGP) was done on pre-systemic treatment (pre) PT, post-treatment (post) MET sites and LB in PC to uncover differences in genomic alterations (GA) and potential impact on therapy selection. Methods: 1,294 PC tissues and 782 LB underwent hybrid-capture based CGP. PT biopsies and resections were compared with post-treatment MET biopsies from bone (BO), liver (LIV), lung (LU), brain (BN), lymph node (LN) and soft tissue (ST) sites and LB. TMB was determined on up to 1.1 Mbp of sequenced DNA for tumor samples. Tumor cell PD-L1 IHC was measured (Dako 22C3). Results: Differences in alteration frequencies between PT, MET and LB for selected genes are shown in the Table. TMPRSS2:ERG fusion frequencies were similar between PT and MET (35% vs 33%) but varied between MET sites (27% in BO and ST to 40% in LN). GA in AR were lowest in pre PT (2%) and highest in MET (24% in LU to 50% in LIV). BN had the highest GA/tumor (8) and the most PTEN GA. BRCA2 GA frequency varied from 0% in BN to 15% in LI. Potential predictors of IO response included CDK12 GA (16% in LU) and MSI high status (29% in BN). High PD-L1 expression was found in only two cases (LN) and low PD-L1 expression was relatively uncommon. ERBB2 amplifications were increased in MET compared with PT. RB1 GA were increased in LIV cases. LB GA had a similar increase in AR and TP53 GA to MET and appeared to be a blend of MET site biopsies across alteration frequencies. Conclusions: CGP of PT, MET and LB in PC demonstrates differences most likely associated with exposure to systemic therapies. Differences identified in the MET GA landscape suggest that liquid biopsies may capture a broader range of therapeutic opportunities for PC patients. [Table: see text]


2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 348-348 ◽  
Author(s):  
Gennady Bratslavsky ◽  
Hugh A.G. Fisher ◽  
Timothy Byler ◽  
Joseph M Jacob ◽  
Jon Chung ◽  
...  

348 Background: We performed comprehensive genomic profiling (CGP) to learn whether sub-categorization of TMPRSS2 fusion status would impact therapy opportunities in patients with refractory CRPC and CRNEPC. Methods: DNA was extracted from 40 µm of FFPE sections of 2,424CRPC and 143 CRNEPC. CGP was performed on hybridization-captured, adaptor ligation-based libraries for up to 315 cancer-related genes. Tumor mutational burden (TMB) was determined on 1.1 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on 114 loci. Results: The median ages for all 4 groups was similar (Table). TMPRSS2+( TMP+) CRPC features significantly greater TP53 and PTEN GA and TMPRSS2-( TMP-) CRPC featured higher MYC and ATM GA. Differences in BRCA2 and RB1 GA were not significant in the CRPC group. RB1 GA were more frequent in CRNEPC than CRPC. TP53 GA were higher in TMP+ CRNEPC than in TMP+ CRPC whereas GA in PTEN and MYC were similar in comparative groups. GA in AR and ATM were more frequent in CRPC than CRNEPC. The median TMB was higher in CRNEPC than CRPC and higher in TMP- than TMP+ tumors. TMP- CRPC and TMP- CRNEPC had higher TMB levelsthan TMP+ tumors in both groups. MSI-High status was more frequent in the TMP- CRPC and TMP- CRNEPC groups. Conclusions: For CRPC but not CRNEPC, the frequency of TMP+CRPC cases appears lower in advanced vsearly stage disease (TCGA data). CGP reveals significant differences in both targetable GA and markers of immunotherapy response between TMP+ and TMP- CRPC and CRNEC. Thus, when CRPC and CRNEPC areevaluated as to their TMPRSS2:ERG fusion status, significant genomic differences emerge which may impact therapy selection.[Table: see text]


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4533-4533 ◽  
Author(s):  
Joseph Jacob ◽  
Gennady Bratslavsky ◽  
Oleg Shapiro ◽  
Nick Liu ◽  
Elizabeth Kate Ferry ◽  
...  

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]


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 426-426
Author(s):  
Joseph Jacob ◽  
Oleg Shapiro ◽  
Andrea Necchi ◽  
Petros Grivas ◽  
Ethan Sokol ◽  
...  

426 Background: UrthCa is an uncommon GU malignancy that can progress to advanced metastatic disease. Methods: 126 metastatic UrthCa 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 (Dako 22C3). Results: 49 (39%) urothelial (UrthUC), 31 (24%) squamous (UrthSCC), 34 (27%) adenocarcinomas (UrthAC) and 12 (9%) clear cell (UrthCC) were evaluated. UrthUC and UrthSCC were more common in men; UrthAC and UrthCC more common in women. Ages were similar in all groups. GA in PIK3CA were the most frequent potentially targetable GA; mTOR pathway GA in PTEN also identified. GA in other potentially targetable genes were also identified including ERBB2 (6% in UrthUC, 3% in UrthSCC and 12% in UrthAC), FGFR1-3 (3% in UrthSCC), BRAF (3% in UrthAC), PTCH1 (8% in UrthCC) and MET (8% in UrthCC). Possibly reflecting their higher GA/tumor status, potential for immunotherapy benefit associated with higher TMB and PD-L1 staining levels were seen in UrthUC and UrthSCC compared to UrthAC and UrthCC. MSI high status was absent throughout. Conclusions: CGP reveals GA that may be predictive of both targeted and immunotherapy benefit in patients with advanced UrthCa and that could potentially be used in future adjuvant, neoadjuvant and metastatic disease trials.[Table: see text]


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 727-727
Author(s):  
Gennady Bratslavsky ◽  
Andrea Necchi ◽  
Petros Grivas ◽  
Oleg Shapiro ◽  
Joseph Jacob ◽  
...  

727 Background: We studied the genomic alterations (GA) in patients with mRCC under 40 years of age (<40) and patients 40 years of age or older (>40). Methods: 2,128 mRCC underwent hybrid-capture based CGP. Clear cell (ccRCC), papillary (pRCC), sarcomatoid (sRCC), NOS (nosRCC), chromophobe (chrRCC), medullary (medRCC) and collecting duct (cdRCC) were separately evaluated. 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 (Dako 22C3). Results: Male preponderance in all subsets increased in the >40 patients. The GA/tumor increased significantly in the >40 cohorts except for in medRCC. The relatively low TMB was higher in all >40 and MSI high status was infrequent in all groups. PD-L1 expression was generally low, the 44% high positive PD-L1 in sRCC was noteworthy. Significant differences in GA in <40 vs >40 RCC included increased PBRM1 and SETD2 GA in >40 vs <40 ccRCC; increased C DKN2A/B and TERT and decreased FH GA in >40 vs <40 pRCC; increased TP53, PTEN and TERT GA with decreased NF2 GA in >40 vs <40 sRCC; increased TP53, VHL and TERT in >40 vs <40 nosRCC. Changes in GA in <40 vs >40 chrRCC, medRCC and cdRCC were noted but insufficient cases prevented statistical evaluation. Conclusions: When evaluated by age, CGP of mRCC demonstrates significant differences in the genomic landscapes with >40 cases featuring increasing male preponderance and higher GA/tumor, TMB and increases in TP53, CDKN2A/B and TERT GA. These findings may play important roles in the planning of future clinical trials designed to personalize the treatment of mRCC.[Table: see text]


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 726-726
Author(s):  
Evgeny Yakirevich ◽  
Carmen Perrino ◽  
Andrea Necchi ◽  
Petros Grivas ◽  
Gennady Bratslavsky ◽  
...  

726 Background: NF2 genomic alterations (GA) have been associated with aggressive behavior in RCC. Methods: FFPE tissues from 1,386 clear cell (ccRCC), 307 papillary (pRCC), 72 chromophobe (chRCC), 145 sarcomatoid (sRCC), 54 collecting duct (cdRCC),37 medullary (medRCC) and 134 unclassified (nosRCC) 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 MSI was determined on 114 loci. PD-L1 expression was determined by IHC (Dako 22C3). Results: 140 (7%) RCC featured NF2 GA which were predominantly short variant (SV) mutations. Gender and age were similar with male preponderance in all histologic subtypes. NF2 GA frequency was highest in cdRCC (20%) and sRCC (19%) and lowest in ccRCC (3%). The medRCC at 5% NF2 GA and chRCC at 0% NF2 GA were not further evaluated. VHL and PBRM1 GA were significantly more frequent in NF2 altered ccRCC than all other RCC (P < 0.001). Other mTOR pathway GA were uncommon. Potentially targetable kinase GA in NF2-mutated RCC included BRAF (2% of ccRCC), EGFR (3% of pRCC), ERBB3 (4% of sRCC) and PIK3CA (9% of cdRCC). No NF2 mutated RCC featured MSI -high status and both TMB and PD-L1 expression levels were extremely low in all subsets with exception of high PD-L1 staining in sRCC tumors. Conclusions: cdRCC, sRCC, pRCC and nosRCC are enriched in NF2 GA. Low PBRM1 GA, TMB and MSI- high predict resistance to immunotherapy in NF2 mutated RCC although the high PD-L1 expression in sRCC is noteworthy.[Table: see text]


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4584-4584
Author(s):  
Gennady Bratslavsky ◽  
Andrea Necchi ◽  
Oleg Shapiro ◽  
Joseph Jacob ◽  
Julia Andrea Elvin ◽  
...  

4584 Background: We CGP to characterize the genomic alterations (GA) in MP and to enable the search for potential therapy targets. Methods: From a series of 201,766 consecutive clinical cases, 44 cases of clinically advanced MP underwent CGP using a hybrid-capture based commercial assay to evaluate all classes of GA. Tumor mutational burden (TMB) was determined on 1.1 Mbp of sequenced DNA and reported as mutations/Mb and microsatellite instability (MSI) was determined on 114 loci. PD-L1 expression was determined by IHC (DAKO 22C3 antibody). Results: All patients had clinically advanced recurrent and/or metastatic disease. 23 patients were females and 21 patients were males. There were 34 (77%) of MP known to have originated in the adrenal gland and 10 (23%) of the MP were sequenced from metastatic site where the exact primary site was unknown. The primary tumor was used for sequencing in 14 (32%) of the MP cases and a non-primary tumor metastatic site (liver, lung, bone, soft tissue, lymph node, kidney, peritoneal cavity, and chest wall) in 30 (68%) of the MP cases. There were 2.3 GA/tumor. The most frequent un-targetable GA were ATRX (25%), TP53 (21%), SDHB (13%), CTNNB1 (7%), VHL (7%), and CDKN2A/2B, PIK3R2, NOTCH2 and MEN1 (all 5%). The most frequent potentially targetable GA included RET (9%), NF1 (9%) and FGFR1 (5%). PBRM1 GA were found in 2% of MAP. Germline mutations in known cancer predisposition genes were predicted in 8 (18%) of cases involving SDHB (5 cases) and BRCA1, MEN1, and MSH2 (1 case each). The genomic signatures of primary MP were not significantly different from that obtained from sequencing of metastatic site biopsies. 0 (0%) of 5 MP stained positively for PD-L1 expression. The mean TMB was 2.95 mutations/Mb, the median TMB was 2.4 mutations/Mb. There 2 (5%) of MP with TMB ≥ 10 mutations/MB and 0 (0%) with TMB ≥ 20 mutations/Mb. 0 (0%) of 33 MP evaluated for MSI had a MSI-High status. Conclusions: Although the GA/tumor is relatively low for MP, CGP can reveal important potential therapy targets including RET, NF1 and FGFR1. MP do not reveal strong potential for immunotherapies with low TMB, absence of MSI-High status and low (2%) PBRM1 mutation frequencies.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 5087-5087
Author(s):  
Petros Grivas ◽  
Joseph M Jacob ◽  
Oleg Shapiro ◽  
Andrea Necchi ◽  
Ethan Sokol ◽  
...  

5087 Background: UrthCa is an uncommon GU malignancy that can progress to advanced metastatic disease. Methods: 127 metastatic UrthCa 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 (Dako 22C3). Results: 49 (39%) urothelial (UrthUC), 31 (24%) squamous (UrthSCC), 34 (19%) adenocarcinomas (UrthAC) and 13 (9%) clear cell (UrthCC) were evaluated along with a control cohort of 2,130 bladderUC cases. UrthUC and UrthSCC were more common in men; UrthAC and UrthCC more common in women. Age was similar in all 4 groups. GA in PIK3CA were the most frequent potentially targetable GA; MTOR pathway GA in PTEN also identified. GA in other potentially targetable genes were also identified including ERBB2(6% in UrthUC, 3% in UrthSCC and 12% in UrthAC), FGFR1-3 (3% in UrthSCC), BRAF (3% in UrthAC), PTCH1 (8% in UrthCC) and MET (8% in UrthCC). Higher TMB was seen in UrthUC and UrthCC compared to UrthAC and UrthSCC, possibly reflecting their higher GA/tumor status and suggesting potential for immunotherapy benefit. MSI high status was absent throughout. The bladderUC cases had similar genomic pattern as UrthUC with significantly lower frequency of HPV16/18 positive cases. Conclusions: CGP reveals GA that may be predictive of both targeted and immunotherapy benefit in patients with advanced UrthCa and that could potentially be used in future adjuvant, neoadjuvant and metastatic disease trials. [Table: see text]


Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3625
Author(s):  
Boris Duchemann ◽  
Jordi Remon ◽  
Marie Naigeon ◽  
Laura Mezquita ◽  
Roberto Ferrara ◽  
...  

Immune checkpoint inhibitors are now a cornerstone of treatment for non-small cell lung cancer (NSCLC). Tissue-based assays, such as Programmed cell death protein 1 (PD-L1) expression or mismatch repair deficiency/microsatellite instability (MMRD/MSI) status, are approved as treatment drivers in various settings, and represent the main field of research in biomarkers for immunotherapy. Nonetheless, responses have been observed in patients with negative PD-L1 or low tumor mutational burden. Some aspects of biomarker use remain poorly understood and sub-optimal, in particular tumoral heterogeneity, time-evolving sampling, and the ability to detect patients who are unlikely to respond. Moreover, tumor biopsies offer little insight into the host’s immune status. Circulating biomarkers offer an alternative non-invasive solution to address these pitfalls. Here, we summarize current knowledge on circulating biomarkers while using liquid biopsies in patients with lung cancer who receive treatment with immune checkpoint inhibitors, in terms of their potential as being predictive of outcome as well as their role in monitoring ongoing treatment. We address host biomarkers, notably circulating immune cells and soluble systemic immune and inflammatory markers, and also review tumor markers, including blood-based tumor mutational burden, circulating tumor cells, and circulating tumor DNA. Technical requirements are discussed along with the current limitations that are associated with these promising biomarkers.


Sign in / Sign up

Export Citation Format

Share Document