CD274 Amplification Research Articles

Multi-regional sequencing reveals the genetic and immune heterogeneity of non-cancerous tissues in gastric cancer.

Gastric cancer (GC) is one of the most heterogeneous tumors. However, research on normal tissue adjacent to the tumor (NAT) is very limited. We performed multi-regional omics sequencing on 150 samples to assess the genetic basis and immune microenvironment in NAT and matched primary tumor or lymph node metastases. NATs demonstrated different mutated genes compared with GC, and NAT genomes underwent independent evolution with low variant allele frequency. Mutation profiles were predominated by aging and smoking-associated signatures in NAT instead of signatures associated with genetic instability. Although the immune microenvironment within NATs shows substantial intra-patient heterogeneity, the proportion of shared TCR clones among NATs is five times higher than that of tumor regions. These findings support the notion that subclonal expansion is not pronounced in NATs. We also demonstrated remarkable intra-patient heterogeneity of GCs and revealed heterogeneity of focal amplification of CD274 (encoding PD-L1) that leads to differential expression. Finally, we identified that monoclonal seeding is predominant in GC, which is followed by metastasis-to-metastasis dissemination in individual lymph nodes. These results provide novel insights into GC carcinogenesis. © 2024 The Pathological Society of Great Britain and Ireland.

Chromosome 9p Duplication Promotes T-Cell Exhaustion and Enhances Stem Cell Clonogenic Potential in JAK2-Mutant Myeloproliferative Neoplasms

Myeloproliferative Neoplasms (MPNs) are a diverse group of clonal hematopoietic disorders originating from a single hematopoietic stem cell, causing an excessive production of mature blood cells. Classic forms of MPNs include polycythemia vera, essential thrombocythemia, and myelofibrosis. The most common mutation is a gain-of-function point mutation in the JAK2 gene, known as JAK2V617F. This mutation leads to constant activation of the JAK-STAT signaling pathway, resulting in the overgrowth of MPN cells. Furthermore, the variant allele frequency (VAF) of JAK2V617F has a significant impact on the severity and phenotype of the disease. Alongside many described genetic mutations, cytogenetic abnormalities are commonly observed in MPNs, particularly involving chromosome 9. As the JAK2 gene is located on the short arm of this chromosome, we hypothesized that chromosome 9 copy number abnormalities might be a disease modifier in JAK2V617F-mutant MPN patients. To characterize the biological effects of chromosome 9 copy number abnormalities on JAK2-mutated MPN cells, we analyzed circulating CD34+ hematopoietic stem and progenitor cells (HSPCs) as well as monocytes and granulocytes from 32 MPN patients. Through Next Generation Sequencing, we categorized the patients into three main groups based on JAK2 mutation and copy number status: patients with two copies of the JAK2 gene with either heterozygous (VAF between 20% and 60%; n=10) or homozygous (VAF > 60% n=10) JAK2V617F mutation, or patients carrying mutant JAK2 and gene amplification (n=12). In-depth analysis of JAK2-amplified patients revealed that the amplification involved the entire chromosome 9p, thus including other gene loci like CD274, which encodes programmed death-ligand 1 (PD-L1). Further investigation of the order-of-events and clonal hierarchies through droplet digital PCR on CD34+ cell-derived colonies showed that most colonies of 9p-duplicated patients had three copies of JAK2, with 2 out of 3 alleles harboring the JAK2 mutation and that point mutations are frequently the initial pathogenic event in clonal evolution, followed by amplification of the JAK2-mutated allele. Functionally, CD34+ cells from +9p patients displayed high clonogenicity and gave rise to a greater number of primitive colonies (Colony Forming Unit-Granulocyte, Erythrocyte, Monocyte, Megakaryocyte, CFU-GEMM). As JAK2 hyperactivation had been previously reported to lead to increased PD-L1 expression, we further explored the functional significance of CD274 amplification in +9p patients. Our analysis showed increased PD-L1 messenger RNA and protein levels in +9p patient CD14+ monocytes compared to those from patients carrying only two copies of chromosome 9. Moreover, immunofluorescence analysis demonstrated significant re-localization of PD-L1 to the cytoplasmic membrane in monocytes from +9p patients, but not in JAK2V617F-homozygous patients (panel A). Increased levels of PD-L1, an immune checkpoint known to curb T cell activation, led us to analyze the T cell compartment, which resulted enriched in CD3+/CD8+/CD57-/PD-1+ exhausted T-cells in +9p patients compared to other MPN patients and healthy donors (panel B). In conclusion, our comprehensive characterization of the molecular interplay between JAK2V617F and chromosome 9 alterations, along with their immunological implications due to PD-L1 hyperactivation, fills a critical knowledge gap and provides valuable insights into the disease progression of 9p-MPNs. Further analysis is ongoing to explore the associations between 9p duplication and hematological parameters in 9p-MPN patients for a better understanding of the clinical implications of this genetic abnormality in MPNs.

Concurrent predictors of an immune responsive tumor microenvironment within tumor mutational burden-high breast cancer.

Data supporting high tumor mutational burden (TMB-H) as a lone biomarker for an immune-responsive tumor microenvironment (TME) in metastatic breast cancer (MBC) are weak, yet tumor agnostic approval in TMB-H advanced tumors provides immune checkpoint inhibition (ICI) as a clinical option. We evaluated concurrent predictors of immune-responsive and non-responsive TME within MBC. Tumor samples from patients with MBC (N=5621) were analyzed by next-generation sequencing of DNA (592-gene panel or whole exome) and RNA (whole transcriptome) at Caris Life Sciences (Phoenix, AZ). TMB-H threshold was set to ≥ 10 muts/Mb. PDL-1 was evaluated using SP142 antibody. Gene expression profiling and RNA deconvolution were used to estimate immune and stromal cell population abundance in the TME, and transcriptomic signature of immunotherapy response (T cell-inflamed score). 461 (8.2%) TMB-H MBC samples were identified. Consistent with prior studies, TMB-H tumors exhibited significant dMMR/MSI-H enrichment (7 vs. 0%, p<0.0001) and PD-L1+ expression (36 vs. 28%, p<0.05) compared to TMB-L. Across all samples, T cell-inflamed scores were weakly correlated with TMB. TMB-H was not associated with significantly increased immune responsive cell types (CD8+ T-cells, NK cells, or B cells) or immune response gene signatures (e.g. antigen presentation), yet positive trends were observed, while immunosuppressive fibroblasts were significantly decreased in TMB-H tumors (0.84-fold change compared to TMB-L, P<0.05). HR+/HER2- breast cancer was the only subtype in which TMB-H tumors exhibited increased T cell-inflamed scores vs. TMB-L. Concurrent PD-L1+ or dMMR/MSI-H with TMB-H was associated with high T cell-inflamed scores in both HR+/HER2- and TNBC. Among several associated biomarkers, B2M mutations and CD274 amplifications were positively associated with T-cell inflamed scores in TMB-H tumors; CDH1 and ERBB2 mutations were negatively associated. High TMB alone does not strongly correlate with immune infiltrate or immune-related gene signatures in MBC. TMB-H predicts T-cell inflamed signature compared to TMB-L in HR+/HER2- tumors only. Along with MSI-H and PD-L1+, several biomarkers, including B2M mutation and CD274 amplification, may help predict ICI benefit amongst TMB-H tumors. Co-occurring biomarkers within TMB-H breast cancer warrant evaluation in larger cohorts for response or resistance to ICI to develop composite predictive biomarkers in MBC.

Phase II study of the combination of durvalumab, tremelimumab, and paclitaxel as second-line chemotherapy in biomarker-selected patients with metastatic gastric cancer.

401 Background: Currently, ramucirumab plus paclitaxel is the standard second-line chemotherapy in metastatic gastric cancer (mGC), however, its efficacy is very limited. MSI, PD-L1 (CD274), and EBV have been suggested as predictive biomarkers for immune checkpoint inhibitors in mGC. This study was conducted to evaluate efficacy and safety of the combination of durvalumab, tremelimumab, and paclitaxel as a second-line chemotherapy in mGC with potential biomarkers for immune checkpoint inhibitors. Methods: The combination of durvalumab, tremelimumab, and paclitaxel consisted of 1500 mg of i.v. durvalumab on day 1, every 4 weeks for 13 cycles, 75 mg of i.v. tremelimumab on day 1 every 4 weeks for 4 cycles, and 60 mg/m2 of i.v. paclitaxel on days 1, 8, and 15, every 4 weeks until disease progression or unacceptable toxicities. Patients (pts) with MSI-high mGC, EBV-positive mGC, or mGC with CD274 amplification, mutations of mismatch repair or POL gene, or tumor mutation burden (TMB) &gt;5/Mb were included in second-line setting. Results: Forty-eight pts were enrolled. Overall response rate (ORR) was 52.1% with complete response in 4 (8.3%) pts, partial response in 21 (43.8%), stable disease in 14 (29.2%), and progressive disease in 8 (16.7%), and with response not evaluable in 1 (2.0%). With a median follow-up of 18.0 months (range, 7.1-39.4), the median progression-free survival (PFS) and overall survival (OS) were 5.3 months (95% CI, 3.7-6.9) and 13.1 months (95% CI, 5.2-21.0 ), respectively. Compared to mGC with other genetic alterations (n=25), mGC with TMB &gt;20/Mb or MSI-high mGC (n=23) tended to have a higher ORR (56.5% vs 48%), and a prolonged PFS (median 7.2 vs 4.5 months; 44.0 vs 20.8% at 1 year). The combination chemotherapy was generally well tolerable; treatment-related grade 3 or 4 adverse events with frequency &gt;5% included only neutropenia (10.4%) and anemia (8.3%), and there was no treatment-related death. Conclusions: The combination chemotherapy of durvalumab, tremelimumab, and paclitaxel showed encouraging efficacy, especially in mGC with TMB &gt;20/Mb or MSI-high mGC, as a second-line chemotherapy with manageable toxicities in biomarker-selected mGC. Clinical trial information: NCT03751761 .

Genomic Profiling Reveals Differences in Primary Central Nervous System Lymphoma and Large B-Cell Lymphoma, With Subtyping Suggesting Sensitivity to BTK Inhibition.

B-cell primary central nervous system (CNS) lymphoma (PCL) is diffuse large B-cell lymphoma (DLBCL) confined to the CNS. Less than 50% of patients with PCL achieve complete remission with current therapies. We describe the findings from comprehensive genomic profiling (CGP) of a cohort of 69 patients with PCL, 36 cases of secondary CNS lymphoma (SCL), and 969 cases of DLBCL to highlight their differences and characterize the PCL cohort. In addition, we highlight the differences in frequency of germinal center B-cell like (GCB) and non-GCB subtypes and molecular subtypes, particularly MCD and EZH subtypes, between PCL and DLBCL. Sixty-nine cases of B-cell PCL, 36 cases of secondary CNS lymphoma (SCL), and 969 cases of DLBCL were evaluated by CGP of 405 genes via DNAseq and 265 genes via RNAseq for fusions (FoundationOne Heme). Tumor mutational burden (TMB) was calculated from 1.23 Mb of sequenced DNA. Genomic alterations with significant differences between PCL and DLBCL included MYD88, ETV6, PIM1, PRDM1, CXCR4, TP53, and CREBBP, while only MYD88 was significantly different between SCL and DLBCL. PCL cases were significantly enriched for the MCD molecular subtypes, which have an excellent response to BTKi. We report a patient with a durable complete response to BTKi consistent with their genomic profile. EBV status, CD274 amplification, and TMB status suggest that 38% of PCL patients may benefit from ICPI; however further study is warranted. CGP of PCLs reveals biomarkers, genomic alterations, and molecular classifications predictive of BTKi efficacy and potential ICPI efficacy. Given the limitations of standard of care for PCL, CGP is critical to identify potential therapeutic approaches for patients in this rare form of lymphoma.

The Molecular Predictive and Prognostic Biomarkers in Metastatic Breast Cancer: The Contribution of Molecular Profiling.

Simple SummaryWe propose in this article to review the state of knowledge about predictive and prognosis biomarkers in metastatic breast cancer through the prism of molecular profiling studies.The past decade was marked by several important studies deciphering the molecular landscape of metastatic breast cancer. Although the initial goal of these studies was to find driver oncogenic events to explain cancer progression and metastatic spreading, they have also permitted the identification of several molecular alterations associated with treatment response or resistance. Herein, we review validated (PI3KCA, ESR1, MSI, NTRK translocation) and emergent molecular biomarkers (ERBB2, AKT, PTEN, HRR gene, CD274 amplification RB1, NF1, mutational process) in metastatic breast cancer, on the bases of the largest molecular profiling studies. These biomarkers will be classed according the level of evidence and, if possible, the ESCAT (ESMO) classification. Finally, we will provide some perspective on development in clinical practice for the main biomarkers.

Impact of PD-L1 expression on conventional urothelial bladder carcinoma (UCB) genomic alteration (GA) profile.

e16535 Background: Immunohistochemistry (IHC) to determine PD-L1 expression level has been used as a biomarker to predict immune checkpoint inhibitors response in UCB. We hypothesized that the GA profiles would differ between UCB featuring high vs negative PD-L1 expression. Methods: 102 cases of advanced UCB with known PD-L1 tumor cell expression underwent hybrid-capture based comprehensive genomic profiling to evaluate all classes of genomic alteration (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. Tumor cell (TC) PD-L1 expression was determined by IHC (Dako 22C3). Only PD-L1 high (H) (≥50% TC expression) and negative (N) (0% TC expression) cases were included in this study. Results: Overall, only 2 (8.3%) of the 24 PD-L1H UCB featured CD274 ( PD-L1) amplification (mean 19 copies) and none of 78 PD-L1N had CD274 amplification (P = .05). The gender, age and GA per tumor frequencies were similar in the groups. When compared with the PD-L1H UBC cases, FGFR3 GA were significantly more frequent in the UBC PD-L1N cases (p = .02). Currently “untargetable” GA that were more frequent in the PD-L1H UBC, but did not reach significance, included TP53, TERT and RB1. MTAP loss, a potential target for PRMT5 and MTA2 inhibitors, were 3X more frequent in the PD-L1N UBC. ERBB2 amplification and ERBB3 and PIK3CA short variant (SV) GA were more frequent in the PD-L1N UBC with differences not reaching significance. The mean gLOH scores were similar in both groups. Other ICPI-associated potential biomarkers, including MSI status, TMB level and GA in PBRM1, STK11 and MDM2 were not significantly different in the groups. For UCB cases where a mutational signature could be determined, 15/33 (45%) of PD-L1H and 34/112 (30%, p = 0.14) of PD-L1N UCB featured an APOBEC gene signature; 79% of PD-L1H and 83% of PD-L1N featured European ancestry (p = 0.61). Conclusions: PD-L1H and PD-L1N subtypes of UCB differ in their genomic profiles. PD-L1N UCB features greater frequencies of potentially “targetable” GA, including FGFR3, ERBB2, ERBB3 and PIK3CA. PD-L1 IHC may thus not only play a role in the selection of ICPI for advanced UCB but also in designing trials that may combine ICPI with targeted therapies.[Table: see text]

Genomic classification of clinically advanced pancreatic ductal adenocarcinoma (PDAC) based on methylthioadenosine phosphorylase (MTAP) genomic loss (MTAP loss).

604 Background: MTAP loss is represented across a wide variety of cancer types including PDAC and is an emerging target for synthetic lethality-based cancer therapies. Preclinically, MTAP loss leads to the accumulation of 2-methylthioadenosine, reduced protein arginine N-methyltransferase 5 (PRMT5) methylation activity and increased vulnerability to targeting of the methionine adenosyltransferase IIα (MAT2A)/ PRMT5 axis. In addition, 9p21 loss, homozygous co-deletion of MTAP/CDKN2A or homozygous deletion of either gene have been associated with an immunologically “cold” tumor microenvironment, primary resistance to anti PD(L)1 immunotherapy (IO) and poor prognosis phenotype (Han G, Nat Commun 2021). We investigated concurrent mutations and immune biomarkers in clinical PDAC samples with MTAP-loss versus -intact status. Methods: From a series of 177705 consecutive cases, we performed comprehensive genomic profiling on 9423 cases of PDAC using an FDA-approved assay (F1CDx) 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 immunohistochemistry (Dako 22C3). Furthermore, we correlated pertinent findings within a database of 16558 cases of clinically advanced cancer with MTAP loss. Results: 2003 (21.3%) of 9423 PDAC demonstrated MTAP-loss. Similar gender, age and number of GA per tumor were observed between MTAP-loss and -intact groups. Frequencies of TP53, CDKN2A/B, SMAD4, PTEN and ARID1A were significantly higher in MTAP-loss PDAC. However, previously-described biomarkers of IO efficacy (MSI, TMB, CD274 amplification and PD-L1 expression) and resistance ( STK11, KEAP1 and MDM2) were infrequent and similar in both groups. The frequencies of other potentially targetable GA including BRCA1/2, ATM, KRAS G12C, ERBB2, BRAF, FGFR1, NF1 and PIK3CA were also infrequent and similar in both groups of PDAC patients. Amongst a database of 16558 cases of clinically advanced cancer with MTAP loss, 1538 (9.3%) featured co-alterations in MTAP and SMAD4. 52% of the MTAP/SMAD4 co-altered cases were PDAC. Conclusions: MTAP loss is associated with a distinctive concurrent genomic profile in PDAC and represents a potential new synthetic lethality-based opportunity for treatment with PRMT5 and MAT2A inhibitors. Furthermore, MTAP loss may represent an independent negative predictive biomarker for immune checkpoint inhibition in PDAC.[Table: see text]

Comprehensive Genomic Profiling Demonstrates Differences in Primary CNS Lymphoma and Systemic Diffuse Large B Cell Lymphoma and Reveals Biomarkers Indicating Potential Benefit from Immune Checkpoint Inhibitors

BACKGROUNDB-Cell Primary CNS Lymphoma (PCL) is Diffuse Large B-cell Lymphoma (DLBCL) confined to the CNS. Less than 50% of PCL patients achieve complete remission with current therapies. Comprehensive genomic profiling (CGP) may suggest treatment modalities including use of immune checkpoint inhibitors (ICPI). DESIGN35 cases of B-cell PCL and 455 cases of DLBCL were evaluated by CGP of 406 genes via DNAseq for all classes of genomic alterations and 265 genes via RNAseq for rearrangements (FoundationOne Heme®). Tumor mutational burden (TMB) was calculated from 1.23 Mb of sequenced DNA. Microsatellite instability status was determined by a customized algorithm. RESULTSThe PCL cohort was 49% male and 51% female, aged 21-84 y (median age 67), while the DLBCL cohort was 64% male and 36% female, aged 14-88 y (median age 63). Genomic alterations with significant differences between PCL and DLBCL included MYD88 (42.9% vs 15.6%), CD79B (25.7% vs 6.6%), ETV6 (25.7% vs 3.1%), PRDM1 (22.9% vs 5.1%), PIM1 (17.1% vs 6.6%), CXCR4 (14.3% vs 4.4%), TP53 (20.0% vs 38.8%), and CREBBP (0.0% vs 30.8%) (p<0.05 by two-tailed Fisher Exact Test).Median TMB was similar (median 9.2 vs 10 mutations/mb) and the percent of TMB-high cases (>20 mutations/mb) were not statistically different (26% vs 20%). Three PCL cases were PD-L1 (CD274 ) and PD-L2 (PDCD1LG2) amplified with TMBs of 64, 10, and 6 mutations/Mb and one PCL case had a CD274-MLANA fusion. All PCL cases were microsatellite stable.De novo resistance to the BTK inhibitor Ibrutinib has been reported in a patient with PCL and a mutation in the coiled-coiled domain of CARD11 (Grommes et al ). In this PCL cohort, 3 patients (8.6%) had mutations in CARD11 , all located in the coiled-coiled domain, suggesting potential de novo resistance to BTK inhibition in these patients. CONCLUSIONSCGP of PCLs reveals biomarkers predictive of immunotherapy efficacy including TMB-high (26%) and CD274 amplification or rearrangements (11%). TMB-high and CD274 amplification are both linked to immunotherapy response. These results could be used to refer patients to clinical trials such as NCT02779101 employing ICPI treatment in PCL. Additionally, CGP detects potential de novo resistance to BTK inhibition. This is the first series of PCL to report mutational burden and demonstrate a significantly increased frequency of ETV6 , CXCR4 and PIM1 genomic alterations compared to DLBCL. Given the limitations of standard of care for PCL, CGP can potentially identify new therapeutic approaches in this rare form of lymphoma. DisclosuresSeverson:Foundation Medicine: Employment, Other: Stock. Vergilio:Foundation Medicine: Employment, Other: Stock. Gay:Foundation Medicine: Employment, Other: stock. Daniel:Foundation Medicine: Employment, Other: Stock. Elvin:Foundation Medicine: Employment, Other: Stock. Suh:Foundation Medicine: Employment, Other: Stock. Miller:Foundation Medicine: Employment, Other: Stock. Stephens:Foundation Medicine Inc.: Employment, Equity Ownership. Ross:Foundation Medicine Inc: Employment, Other: stockholder. Ramkissoon:Foundation Medicine: Employment, Other: stock.

Clinicopathologic and Genomic Landscape of Breast Carcinoma Brain Metastases.

Among patients with breast carcinoma who have metastatic disease, 15%-30% will eventually develop brain metastases. We examined the genomic landscape of a large cohort of patients with breast carcinoma brain metastases (BCBMs) and compared it with a cohort of patients with primary breast carcinomas (BCs). We retrospectively analyzed 733 BCBMs tested with comprehensive genomic profiling (CGP) and compared them with 10,772 primary breast carcinomas (not-paired) specimens. For a subset of 16 triple-negative breast carcinoma (TNBC)-brain metastasis samples, programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) was performed concurrently. A total of 733 consecutive BCBMs were analyzed. Compared with primary BCs, BCBMs were enriched for genomic alterations in TP53 (72.0%, 528/733), ERBB2 (25.6%, 188/733), RAD21 (14.1%, 103/733), NF1 (9.0%, 66/733), BRCA1 (7.8%, 57/733), and ESR1 (6.3%,46/733) (p<.05 for all comparisons). Immune checkpoint inhibitor biomarkers such as high tumor mutational burden (TMB-high; 16.2%, 119/733); high microsatellite instability (1.9%, 14/733); CD274 amplification (3.6%, 27/733); and apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like mutational signature (5.9%, 43/733) were significantly higher in the BCBM cohort compared with the primary BC cohort (p<.05 for all comparisons). When using both CGP and PD-L1 IHC, 37.5% (6/16) of patients with TNBC brain metastasis were eligible for atezolizumab based on PD-L1 IHC, and 18.8% (3/16) were eligible for pembrolizumab based on TMB-high status. We found a high prevalence of clinically relevant genomic alterations in patients with BCBM, suggesting that tissue acquisition (surgery) and/or cerebrospinal fluid for CGP in addition to CGP of the primary tumor may be clinically warranted. This study found a high prevalence of clinically relevant genomic alterations in patients with breast carcinoma brain metastasis (BCBM), suggesting that tissue acquisition (surgery) and/or cerebrospinal fluid for comprehensive genomic profiling (CGP) in addition to CGP of the primary tumor may be clinically warranted. In addition, this study identified higher positive rates for FDA-approved immunotherapy biomarkers detected by CGP in patients with BCBM, opening a possibility of new on-label treatments. Last, this study noted limited correlation between tumor mutational burden and PD-L1 immunohistochemistry (IHC), which shows the importance of testing patients with triple-negative BCBM for immune checkpoint inhibitor eligibility with both PD-L1 IHC and CGP.

Genomic immunotherapy (IO) biomarkers detected on comprehensive genomic profiling (CGP) of tissue and circulating tumor DNA (ctDNA).

2541 Background: The dramatic impact of IO on treatment outcomes has heightened interest in predictive biomarkers, including genomic markers such as tumor mutational burden (TMB) and microsatellite instability (MSI). The recent FDA approval of pembrolizumab for previously treated advanced solid tumors with elevated TMB (≥10 mut/Mb on FoundationOne CDx, F1CDx) now requires a better understanding of the prevalence of this and other IO biomarkers detected on CGP, including differences between TMB detected in tissue and mutational burden detected in blood (bTMB). Methods: Tissue and plasma biopsies were profiled with two CGP panels of 324 genes with 0.8 Mb genome coverage (F1CDx and FoundationOne LiquidCDx). Mutational burden was calculated by counting somatic variants (single nucleotide and indels, including synonymous variants, excluding germline and driver mutations) with variant allele frequency (VAF) ≥5% in tissue (TMB) or ≥0.5% in ctDNA (bTMB). MSI score was assessed using 95 repetitive loci and principal component analysis (tissue) or &gt;1,800 repetitive loci (plasma). ctDNA levels were estimated using composite tumor fraction (cTF), a metric based on aneuploidy and VAF. Results: Pan-cancer, TMB ≥10 was detected in 19% of tissue cases (29,238/156,294) and was common in melanoma (53%), small cell (41%), NSCLC (40%), bladder (39%), and endometrial (24%). bTMB ≥10 was detected in 13% of liquid biopsies (806/6,295); prevalence by cancer type was correlated with prevalence of elevated TMB (r = 0.81). Samples with bTMB ≥10 had an elevated cTF (median 13%, IQR 5 - 31%) as compared to samples with bTMB &lt;10 (median 1.8%, IQR 0.6 - 7%, p &lt; 0.001). Among 353 cases with both tissue and liquid CGP results (median 11 months apart), the relative prevalence of TMB ≥10 (12%) and bTMB ≥10 (13%) were similar, with concordant detection in 303 cases (86%). MSI-high (MSI-H) was seen in 2.2% of tissue CGP (3,461/156,294), most often in endometrial (19%), stomach (6.0%), and colorectal (5.3%) cancers, while MSI-H was detected in 0.68% of ctDNA specimens (43/6,295), which were also those with elevated cTF (median 11%, IQR 7 - 23%). Of 3,504 cases with MSI-H signature on tissue or liquid CGP, 1,619 (46%) had a pathogenic mutation detected in MLH1/MSH2/MSH6/PMS2 (15% predicted germline). CD274 amplification was detected in 1,207 cases (0.77%) of tissue CGP and 11 cases (0.17%) in ctDNA. Conclusions: Elevated bTMB is overall less prevalent than elevated tissue TMB, though these biomarkers are detected in similar cancer types. Detection of bTMB ≥10 and MSI-H in liquid biopsy was associated with elevated ctDNA levels, suggesting a limit of detection, and potentially indicating a more aggressive biology in samples positive for these biomarkers. Further investigation is needed to understand the utility of bTMB for identifying high TMB tumors that may benefit from IO.

A comprehensive pan-cancer analysis of CD274 gene amplification, tumor mutation burden, microsatellite instability, and PD-L1 expression in Chinese cancer patients.

BackgroundImmune checkpoint inhibitors blocking programmed cell death 1 (PD-1) or programmed cell death ligand 1 (PD-L1) have emerged as effective treatment options for cancer. However, immunotherapy is only effective in a subset of patients. Identifying effective biomarkers to predict the treatment response to PD-1/PD-L1 inhibitors remains an unmet clinical need.MethodsThis study retrospectively analyzed clinical information and genetic profiling results of 16,013 samples from Chinese patients with various cancer types in order to investigate the prevalence of CD274 (also known as PD-L1) amplification in various cancer types and its association with existing PD-1/PD-L1 biomarkers, including tumor mutational burden (TMB), microsatellite instability (MSI), and PD-L1 expression.ResultsAmplification of CD274 was identified in 174 samples with an overall prevalence of 1.09% among all cancer types in the cohort. The prevalence of CD274 amplification in different cancer types and histological subtypes of lung cancer was varied, with cervical cancer having the highest prevalence. Distinct distributions of TMB, MSI, and PD-L1 expression between CD274-amplified and wild-type samples were observed in several cancer types as well as among different histological subtypes of lung cancer.ConclusionsAlthough CD274 amplification was only observed in a small proportion of patients, it demonstrated an association with TMB, MSI, and PD-L1 expression in several common cancer types. The molecular features of CD274 in different cancer types are heterogeneous. The role of CD274 amplification as a novel biomarker of PD-1/PD-L1 inhibitors remains to be characterized in future prospective clinical studies.

Sarcomatoid (srcRCC) versus clear cell (ccRCC) renal cell carcinoma: A comparative comprehensive genomic profiling (CGP) study.

349 Background: srcRCC is a well-described histologic entity often featuring rapid progression and aggressive clinical course when compared with classic ccRCC. We queried whether CGP would uncover opportunities for targeted and immunotherapy (IO) for srcRCC patients that could individualize their treatment and entry into clinical trials. Methods: Using a hybrid capture-based CGP assay to evaluate all classes of genomic alterations (GA), 160 cases of srcRCC and 1,664 cases of ccRCC were sequenced from FFPE tissue samples. Tumor mutational burden (TMB) was determined on up to 1.1 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on up to 114 loci. PD-L1 expression was determined by IHC (Dako 22C3) with low tumor cell positive staining set at 1-49% and high staining &gt;50% expression. Results: Gender and age distributions for both tumor types were similar. srcRCC featured significantly higher GA/tumor than ccRCC (P &lt; .0001). CGP revealed major differences with ccRCC associated more frequently with tumor suppressor gene (TSG) losses in VHL, PBRM1, TSC2 and SETD2 (all P &lt; .0001). In contrast, srcRCC is associated with cell proliferation with increased inactivation of cell cycle regulatory genes including TP53, CDKN2A/B, MDM2 and TERT (all P &lt; .0001). RB1 GA in srcRCC may reflect neuroendocrine differentiation occasionally found in these tumors. NF2 GA were more frequent in srcRCC (P &lt; .0001). Conclusions: CGP reveals striking differences between srcRCC and ccRCC which may in part explain the differing histologic appearances and typical clinical course of these 2 aggressive malignancies. ccRCC is driven more by TSG loss and srcRCC is driven more by cell cycle dysregulation. Targeted therapy opportunities were uncommon for both tumor types although each featured biomarkers potentially predictive of mTOR inhibitor responses ( TSC2 in ccRCC and NF2 in srcRCC). Although the higher PBRM1 GA frequency in ccRCC may explain the IO benefit well-known for this tumor type, the srcRCC group features significantly increased TMB, CD274 amplification and PD-L1 staining which may also create IO opportunities for srcRCC patients. [Table: see text]

PD-L1 overexpression in EBV-positive gastric cancer is caused by unique genomic or epigenomic mechanisms

Epstein-Barr virus-positive gastric cancer [EBV (+) GC] is a distinct GC subtype with unique genetic and epigenetic aberrations. Here, we examined resected GC samples and publicly available microarray data and The Cancer Genome Atlas (TCGA) database to identify the mechanism underlying overexpression of PD-L1 in EBV (+) GC. We found that high levels of PD-L1 overexpression in EBV (+) GC were caused by focal amplification of CD274. By contrast, relatively high expression of PD-L1 in tumor tissue and infiltrating immune cells correlated with CD8 lymphocyte infiltration and IFN-γ expression via IRF3 activation. Since we reported previously that PD-L1 expression is associated both with the presence of CD8 T cells in the tumor microenvironment and with IFN-γ expression in GC, we examined a database to see whether IFN-γ-associated overexpression of PD-L1 plays a significant role in EBV (+) GC. Immunohistochemical staining showed that expression of the IRF3 signature in clinical GC samples was higher in EBV (+) than in EBV (−) cases. The data presented herein reveal a unique dual mechanism underlying PD-L1 overexpression in EBV (+) GC: high focal amplification of CD274 or IFN-γ-mediated signaling via activation of IRF3.

The Mechanisms of PD-L1 Regulation in Non-Small-Cell Lung Cancer (NSCLC): Which Are the Involved Players?

Simple SummaryImmunotherapy against PD-1/PD-L1 dramatically improved outcomes in non-small cell lung cancer patients. These treatments are more effective the higher the expression of PD-L1 on tumor cells, reported as tumor proportion score. However, PD-L1 expression can be highly variable, depending on different mechanisms of regulation. These mechanisms are usually grouped in intrisc (including genetic and epigenetic factors) and extrinsic factors (i.e., deriving from interaction of tumor cells with tumor microenvironment or other external factors). We reviewed mechanisms underlying PD-L1 expression regulation in order to provide a comprehensive overview and identify key regulatory factors that are or can potentially be exploited to improve outcomes on immune checkpoint inhibitors targeting the PD-1/PD-L1 axis.Treatment with inhibition of programmed cell death 1 (PD-1) or its ligand (PD-L1) improves survival in advanced non-small-cell lung cancer (NSCLC). Nevertheless, only a subset of patients benefit from treatment and biomarkers of response to immunotherapy are lacking. Expression of PD-L1 on tumor cells is the primary clinically-available predictive factor of response to immune checkpoint inhibitors, and its relevance in cancer immunotherapy has fostered several studies to better characterize the mechanisms that regulate PD-L1 expression. However, the factors associated with PD-L1 expression are still not well understood. Genomic alterations that activate KRAS, EGFR, and ALK, as well as the loss of PTEN, have been associated with increased PD-L1 expression. In addition, PD-L1 expression is reported to be increased by amplification of CD274, and decreased by STK11 deficiency. Furthermore, PD-L1 expression can be modulated by either tumor extrinsic or intrinsic factors. Among extrinsic factors, the most prominent one is interferon-γ release by immune cells, while there are several tumor intrinsic factors such as activation of the mechanistic target of rapamycin (mTOR), mitogen-activated protein kinase (MAPK) and Myc pathways that can increase PD-L1 expression. A deeper understanding of PD-L1 expression regulation is crucial for improving strategies that exploit inhibition of this immune checkpoint in the clinic, especially in NSCLC where it is central in the therapeutic algorithm. We reviewed current preclinical and clinical data about PD-L1 expression regulation in NSCLC.

Comprehensive Assessment of Immuno-oncology Biomarkers in Adenocarcinoma, Urothelial Carcinoma, and Squamous-cell Carcinoma of the Bladder

BackgroundIn patients with rare histologies of bladder cancer, including adenocarcinoma of the bladder (ACB) and squamous-cell carcinoma (SCC), there are limited standard therapy options, defining an unmet medical need. ObjectiveIn this comparative comprehensive genomic profiling (CGP) study, genomic alterations (GAs), and immuno-oncology (IO) biomarkers have been analyzed. Design, setting, and participantsWithin the Foundation Medicine database, 143 cases with centrally reviewed pure ACB, 2142 with pure urothelial carcinoma (UC), and 83 with pure SCC were subjected to CGP. All patients developed advanced disease following a primary diagnosis of bladder cancer. InterventionCGP using a hybrid capture–based assay and immunohistochemistry (IHC). Outcome measurements and statistical analysisTumor mutational burden (TMB) was determined on 1.1 Mbp of sequenced DNA, and microsatellite instability (MSI) was determined on 114 loci. Programmed cell-death ligand-1 (PD-L1) expression was determined by IHC (Ventana SP-142 assay), with >1% tumor cells (TCs) or tumor-infiltrating lymphocytes (TILs) scoring positive. Results and limitationsPure ACB patients were younger and more often female than pure UC and pure SCC patients. UC and SCC had a significantly higher median TMB than ACB (p < 0.001). Rare CD274 (PD-L1) amplification cases were more frequently seen in SCC than in UC (5% vs 1%), and were not seen in ACB. MSI high status was very uncommon in all tumor types (0–1%). The frequencies of PD-L1 expression in both TCs and TILs was higher in UC and SCC (both 30%) than in ACB (18%). The results are limited by their retrospective nature and lack of clinical data annotation. ConclusionsDeep sequencing revealed significant differences in IO biomarkers among the three major subtypes of bladder carcinomas. UC and SCC revealed higher frequencies of PD-L1 expression and higher TMB than ACB, and SCC has the highest frequency of CD274 amplification. The presence of pure SCC features should not disqualify patients for inclusion in IO trials. Patient summaryTumor samples from patients diagnosed with advanced pure adenocarcinoma of the bladder (ACB) or pure squamous-cell carcinoma (SCC) have been analyzed in terms of frequency of putative immunotherapy biomarkers. The results indicated that pure SCC of the bladder was characterized by genomic features that portend similar response possibilities to immunotherapy compared with the classical pure urothelial carcinoma. Conversely, for pure ACB there might be different therapeutic opportunities, such as targeted therapies against peculiar genomic alterations in selected patients.

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) ranks fourth among cancer-related deaths in China due to the lack of actionable molecules. We performed whole-exome and T-cell receptor (TCR) repertoire sequencing on multi-regional tumors, normal tissues and blood samples from 39 ESCC patients. The data revealed 12.8% of ERBB4 mutations at patient level and functional study supported its oncogenic role. 18% of patients with early BRCA1/2 variants were associated with high-level contribution of signature 3, which was validated in an independent large cohort (n = 508). Furthermore, knockdown of BRCA1/2 dramatically increased sensitivity to cisplatin in ESCC cells. 5% of patients harbored focal high-level amplification of CD274 that led to massive expression of PD-L1, and might be more sensitive to immune checkpoint blockade. Finally, we found a tight correlation between genomic and TCR repertoire intra-tumor heterogeneity (ITH). Collectively, we reveal high-level ITH in ESCC, identify several potential actionable targets and may provide novel insight into ESCC treatment.

Abstract A15: Immune-related changes in breast cancer tumor evolution

Abstract Immunotherapy is a highly promising therapeutic option in metastatic disease albeit only in a subset of patients possibly due to heterogeneity in the mechanisms by which tumors escape immune surveillance. Immune cells shape tumor evolution directly (e.g., anti-tumor immune response) and indirectly (e.g., changing the microenvironment) by selecting for cancer cells with certain properties. We hypothesized that the in situ (DCIS) to invasive ductal carcinoma (IDC) transition is a critical tumor progression step for immune escape in breast cancer that defines subsequent tumor evolution. In DCIS, cancer cells are physically separated from the stroma by the basement membrane and myoepithelial cell layer, and tumor-infiltrating leukocytes are rarely detected in direct contact with cancer cells. In contrast, in IDC, cancer cells and leukocytes are intermingled, thus, only cancer cells that can survive in this environment will play a role in disease progression. To dissect mechanisms of immune escape in breast cancer, we first analyzed the composition of leukocytes in normal breast tissues, DCIS, and IDC by polychromatic FACS. We found that DCIS and IDC contained significantly higher numbers of leukocytes, compared to normal breast, whereas in normal tissues more leukocytes were in the stromal than in the epithelial fraction. We also observed significant differences in the relative frequencies of several CD45+ cell types including increased neutrophils and decreased CD8+/CD4+ T cell ratios in tumors compared to normal stroma. Next, we analyzed the gene expression profiles of CD45+CD3+ T cells and found gene set enrichment of cytotoxic cells in DCIS including CD8+ T cells and NKT cells when compared to IDC. Conversely, we found enrichment for gene sets corresponding to regulatory T cells in IDC when compared to DCIS. Overall this suggested that DCIS had a more activated immune environment and IDC a more suppressed immune environment. We further explored this result by immunofluorescence (IF) and found fewer activated GZMB+CD8+ T cells in IDC than in DCIS, including a set of matched DCIS and locally recurrent IDC tissues. We also found that the TCR clonotype was more diverse in DCIS than in normal breast and IDCs. Interestingly we detected a few relatively frequent clones that were shared among different DCIS, one of which was previously shown to recognize a protein from the Epstein-Bar virus. To elucidate mechanisms of immune evasion in IDC, we performed IF analysis of immune checkpoint proteins PD-L1 and TIGIT and found significant differences between DCIS and IDC. TIGIT-expressing T cells were more slightly frequent in DCIS than in IDC. PD-L1 expression was higher in the epithelial cancer cells in triple negative IDC compared to DCIS, and amplification of CD274 (encoding PD-L1) was only detected in triple negative IDCs. Given the close proximity of ERBB2 (encoding HER2) to a cluster of genes encoding several chemokines, we analyzed the HER2+ samples from the TCGA. We found that co-amplification of 17q12 chemokine cluster (CC) with ERBB2 was enriched in HER+ER+ luminal-like tumors but not in the HER2+ER breast tumors. We also found higher expression of both T cell activation and inhibition-related genes in tumors that lack CC gain. Also by assessing tumor samples by multicolor FISH and IF, we determined that there is an inverse correlation between CC amplification and activation of CD8+ T cells. Overall our results show co-evolution of cancer cells and the immune microenvironment during tumor progression. Citation Format: Carlos R. Gil del Alcazar, SungJin Huh, Muhammad B. Ekram, Anne Trinh, Lin L. Liu, Francisco Beca, Zi Xiaoyuan, Misuk Kwak, Helga Bergholtz, Ying Su, Lina Ding, Lina Ding, Hege G. Russnes, Andrea L. Richardson, Kirsten Babski, Elizabeth Min Hui Kim, Charles H. McDonnell, III, Jon Wagner, Ron Rowberry, Gordon Freeman, Deborah Dillon, Therese Sorlie, Lisa M. Coussens, Judy E. Garber, Rong Fan, Kristie Bobolis, Joon Jeong, So Yeon Park, Franziska Michor, Kornelia Polyak. Immune-related changes in breast cancer tumor evolution [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2017 Oct 1-4; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2018;6(9 Suppl):Abstract nr A15.

JAK2 double minutes with resultant simultaneous amplification of JAK2 and CD274 in a therapy‐related myelodysplastic syndrome evolving into an acute myeloid leukaemia

<i><scp>JAK</scp>2</i> double minutes with resultant simultaneous amplification of <i><scp>JAK</scp>2</i> and <i><scp>CD</scp>274</i> in a therapy‐related myelodysplastic syndrome evolving into an acute myeloid leukaemia

Abstract A21: Characterization of the immune environment in the in situ to invasive breast carcinoma transition

Abstract Reactivation of immune responses against cancer cells—immunotherapy—is one of the few cancer therapies that can successfully eliminate even metastatic disease in a relatively nontoxic manner. However, its success has been limited to a subset of patients. For example, in breast cancer only ~20% of triple-negative breast cancer (TNBC) patients benefit from anti-PDL1 therapy. One reason for this limited success can be that different tumors evade the immune system via different mechanisms, which suggests that they may respond to different types of immunotherapies. Epithelial cancer cells in ductal carcinoma in situ (DCIS) are physically separated from the tumor-infiltrating leukocytes by the myoepithelial cell layer and the basement membrane, whereas in invasive ductal carcinoma (IDC), the epithelial cancer cells are intermingled with leukocytes. Therefore, we hypothesize that the DCIS to IDC transition is a key step in tumor progression as cancer cells are under different selection pressures, and only those that can evade the immune system can continue tumor progression, hence shaping subsequent tumor evolution. To dissect the role of leukocytes in the DCIS to IDC transition, we began by analyzing the composition and molecular profiles of leukocytes, with special emphasis on T cells, in normal breast tissues, DCIS, and IDC. We found that the relative frequency of leukocytes increases during tumor progression but the CD8/CD4 T cell ratio decreases. In addition, the gene expression profile of CD45+CD3+ T cells is different in DCIS compared to those isolated from normal breast tissue and IDCs. We found that gene set signatures corresponding to CD8+ T cells and NKT cells were enriched over regulatory T-cell signatures in DCIS compared to IDC. This result suggested that DCIS had a more activated immune environment compared to IDC. We further examined T-cell activation by immunofluorescence (IF) analysis and found a higher percentage of activated GZMB+CD8+ T cells in DCIS compared to IDC including a set of matched DCIS and locally recurrent IDC. We also found that the TCR clonotype was more diverse in DCIS than in IDCs. Interestingly, we detected a few relatively frequent clones that were shared among different DCIS patients, one of which was previously shown to recognize a protein from the Epstein-Bar virus. In order to dissect mechanisms of immune evasion in IDC, we analyzed immune checkpoint genes and proteins by FISH and IF. We found that TIGIT+ T cells were slightly more frequent in DCIS than in IDC. In triple-negative IDC, there was high expression of PD-L1 in epithelial cells and in 3/10 cases amplification of CD274 (encoding PD-L1), whereas DCIS had lower expression of PD-L1 and no amplification of CD274. To further elucidate mechanisms of immune evasion, we explored the significance of a cluster of genes encoding several chemokines that are located in close proximity of ERBB2 (encoding HER2). When analyzing the HER2+ samples from the TCGA, we found that coamplification of the 17q12 chemokine cluster (CC) with ERBB2 was enriched in HER2+ER+ luminal-like tumors, whereas there was either no gain or loss of the cluster in the HER2+ER breast tumors. Interestingly, we found higher expression of both T-cell activation and exhaustion-related genes in tumors that lack CC gain. Moreover, when assessing a cohort of HER2+ samples by multicolor FISH and IF, we found an inverse correlation between CC amplification and activation of CD8+ T cells. There was no correlation between CC amplification and recruitment of macrophages or myeloid-derived suppressor cells. Overall our results show coevolution of cancer cells and the immune microenvironment during tumor progression. Citation Format: Carlos R. Gil del Alcazar, SungJin Huh, Muhammad B. Ekram, Anne Trinh, Lin L. Liu, Francisco Beca, Zi Xiaoyuan, Misuk Kwak, Helga Bergholtz, Ying Su, Lina Ding, Hege G. Russnes, Andrea L. Richardson, Kirsten Babski, Elizabeth Min Hui Kim, Charles H. McDonnell, III, Jon Wagner, Ron Rowberry, Gordon J. Freeman, Deborah Dillon, Therese Sorlie, Lisa M. Coussens, Judy E. Garber, Rong Fan, Kristie Bobolis, D. Craig Allred, Joon Jeong, So Yeon Park, Franziska Michor, Kornelia Polyak. Characterization of the immune environment in the in situ to invasive breast carcinoma transition [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr A21.