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Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of inducible components of the immunoproteasome and response and (3) a dedifferentiated tumor-intrinsic subtype with enhanced response to checkpoint blockade. Taken together, results from this cohort demonstrate the complexity of biological determinants underlying immunotherapy outcomes and reinforce the discovery potential of integrative analysis within large, well-curated, cancer-specific cohorts.

Abstract Multiple myeloma (MM) develops from well-defined precursor stages; however, invasive bone marrow (BM) biopsy limits screening and monitoring strategies for patients. We enumerated circulating tumor cells (CTC) from 261 patients (84 monoclonal gammopathy of undetermined significance, 155 smoldering multiple myeloma, and 22 MM), with neoplastic cells detected in 84%. We developed a novel approach, MinimuMM-seq, which enables the detection of translocations and copy-number abnormalities through whole-genome sequencing of highly pure CTCs. Application to CTCs in a cohort of 51 patients, 24 with paired BM, was able to detect 100% of clinically reported BM biopsy events and could replace molecular cytogenetics for diagnostic yield and risk classification. Longitudinal sampling of CTCs in 8 patients revealed major clones could be tracked in the blood, with clonal evolution and shifting dynamics of subclones over time. Our findings provide proof of concept that CTC detection and genomic profiling could be used clinically for monitoring and managing disease in MM. Significance: In this study, we established an approach enabling the enumeration and sequencing of CTCs to replace standard molecular cytogenetics. CTCs harbored the same pathognomonic MM abnormalities as BM plasma cells. Longitudinal sampling of serial CTCs was able to track clonal dynamics over time and detect the emergence of high-risk genetic subclones.

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Purpose: Sensitivity to endocrine therapy (ET) is critical for the clinical benefit from the combination of palbociclib plus ET in hormone receptor–positive/HER2-negative (HR+/HER2−) advanced breast cancer. Bazedoxifene is a third-generation selective estrogen receptor (ER) modulator and selective ER degrader with activity in preclinical models of endocrine-resistant breast cancer, including models harboring ESR1 mutations. Clinical trials in healthy women showed that bazedoxifene is well tolerated. Patients and Methods: We conducted a phase Ib/II study of bazedoxifene plus palbociclib in patients with HR+/HER2− advanced breast cancer who progressed on prior ET (N = 36; NCT02448771). Results: The study met its primary endpoint, with a clinical benefit rate of 33.3%, and the safety profile was consistent with what has previously been seen with palbociclib monotherapy. The median progression-free survival (PFS) was 3.6 months [95% confidence interval (CI), 2.0–7.2]. An activating PIK3CA mutation at baseline was associated with a shorter PFS (HR = 4.4; 95% CI, 1.5–13; P = 0.0026), but activating ESR1 mutations did not impact the PFS. Longitudinal plasma circulating tumor DNA whole-exome sequencing (WES; N = 68 plasma samples) provided an overview of the tumor heterogeneity and the subclonal genetic evolution, and identified actionable mutations acquired during treatment. Conclusions: The combination of palbociclib and bazedoxifene has clinical efficacy and an acceptable safety profile in a heavily pretreated patient population with advanced HR+/HER2− breast cancer. These results merit continued investigation of bazedoxifene in breast cancer.

Supplementary Tables S1-S19

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the 5-methylcytosine reader ZBTB33 as well as in YLPM1, SRCAP, and ZNF318. We also identified these mutations at low frequency in patients with myelodysplastic syndrome. Zbtb33-edited mouse hematopoietic stem and progenitor cells exhibited a competitive advantage in vivo and increased genome-wide intron retention. ZBTB33 mutations potentially link DNA methylation and RNA splicing, the two most commonly mutated pathways in clonal hematopoiesis and myelodysplastic syndromes.Significance:Mutations in known driver genes can be found in only about half of individuals with clonal hematopoiesis. Here, we performed a somatic mutation discovery effort in nonmalignant blood samples, which identified novel candidate genes that may play biological roles in hematopoietic stem cell expansion and hematologic malignancies.This article is highlighted in the In This Issue feature, p. 403

Supplementary Figures S1-S11

Supplementary data contains additional Materials and Methods used to generate results presented only in the supplementary figures and tables, as well as more detailed bioinformatics methods. Figure S1 shows correlation between clinical measures of disease pathology, survival, and circulating tumor cells enumeration. Figure S2 shows characteristics of isolated circulating tumor cells from peripheral blood of precursor disease patients. Figure S3 shows cohort-level genomic characterization of tumor in MM precursor stages with CTCs. Figure S4 shows longitudinal and tissue-matched genomic characterization of driver mutations. Figure S5 shows comparison of mutational processes between BMPCs and CTCs assigned to most likely PCAWG composite reference signature. Table S1 shows clinical characteristics and sampling of participants in this study. Table S2 shows whole-genome sequencing coverage and library metrics. Table S3 shows clinical BM FISH results and cells recovered for cohort with matched samples. Table S4 shows comparison of BCR sequence between BMPCs and CTCs. Table S5 shows clinical BM FISH results of peripheral blood only cohort and CTCs recovered. Table S6 shows enumeration of single nucleotide variants and short insertions and deletions discovered from WGS of CTCs. Table S7 shows enumeration of structural variants reconstructed from WGS of CTCs.

Multiple myeloma (MM) develops from well-defined precursor stages; however, invasive bone marrow (BM) biopsy limits screening and monitoring strategies for patients. We enumerated circulating tumor cells (CTC) from 261 patients (84 monoclonal gammopathy of undetermined significance, 155 smoldering multiple myeloma, and 22 MM), with neoplastic cells detected in 84%. We developed a novel approach, MinimuMM-seq, which enables the detection of translocations and copy-number abnormalities through whole-genome sequencing of highly pure CTCs. Application to CTCs in a cohort of 51 patients, 24 with paired BM, was able to detect 100% of clinically reported BM biopsy events and could replace molecular cytogenetics for diagnostic yield and risk classification. Longitudinal sampling of CTCs in 8 patients revealed major clones could be tracked in the blood, with clonal evolution and shifting dynamics of subclones over time. Our findings provide proof of concept that CTC detection and genomic profiling could be used clinically for monitoring and managing disease in MM.Significance:In this study, we established an approach enabling the enumeration and sequencing of CTCs to replace standard molecular cytogenetics. CTCs harbored the same pathognomonic MM abnormalities as BM plasma cells. Longitudinal sampling of serial CTCs was able to track clonal dynamics over time and detect the emergence of high-risk genetic subclones.This article is highlighted in the In This Issue feature, p. 247

This file contains supplementary methods, supplementary references, supplementary figures S1-S6, supplementary tables S1, S3-S6, S8-S15, and S17, and legends for all supplementary figures and tables. Supplementary Figure S1. Summary of Ewing sarcoma tumor and cell line cohorts. Supplementary Figure S2. RNASeq validation of mutations identified by WES and WGS. Supplementary Figure S3. Power calculations for the detection of significantly mutated genes. Supplementary Figure S4. Copy number variants in Ewing sarcoma tumors. Supplementary Figure S5. ETS1 deletions associated with EWS/FLI rearrangements. Supplementary Figure S6. Copy number variants in diagnostic vs. treated Ewing sarcoma tumors. Supplementary Figure S7. SCNAs in paired Ewing sarcoma tumor samples. Supplementary Table S1. Tissue samples. Supplementary Table S3. Multiply mutated genes. Supplementary Table S4. Rearrangements and fusions detected by WGS and RNASeq. Supplementary Table S5. Mutational significance for tumor/normal pairs. Supplementary Table S6. Rate of coding mutations in Ewing sarcoma tumors. Supplementary Table S8. Mutational significance for all tumors. Supplementary Table S9. Gene set enrichment analyses of mutated genes. Supplementary Table S10. Significance of arm-level SCNAs. Supplementary Table S11. Multiply mutated genes of interest in all sample cohorts. Supplementary Table S12. Immunohistochemical staining of STAG2 in Ewing sarcoma tumors. Supplementary Table S13. Gene set enrichment analyses of STAG2 expressing vs. STAG2 loss. Supplementary Table S14. Gene and gene-fragment RPKM Values for EWS and ETS genes. Supplementary Table S15. ETS1 copy-number changes. Supplementary Table S17. Gene set enrichment analyses of tumors vs. cell lines.

Table S6 contains results from the analysis of DNA methylation in SETD2 mutated and BAP1 inactivated samples.

Variants identified from WES of 92 tumors after filtering.

Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options.Significance:Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM.See related commentary by Aggarwal and Albelda, p. 1508.This article is highlighted in the In This Issue feature, p. 1494

Supplementary materials and methods, as well as supplementary figures S1-S7.

Pediatric Ewing sarcoma is characterized by the expression of chimeric fusions of EWS and ETS family transcription factors, representing a paradigm for studying cancers driven by transcription factor rearrangements. In this study, we describe the somatic landscape of pediatric Ewing sarcoma. These tumors are among the most genetically normal cancers characterized to date, with only EWS–ETS rearrangements identified in the majority of tumors. STAG2 loss, however, is present in more than 15% of Ewing sarcoma tumors; occurs by point mutation, rearrangement, and likely nongenetic mechanisms; and is associated with disease dissemination. Perhaps the most striking finding is the paucity of mutations in immediately targetable signal transduction pathways, highlighting the need for new therapeutic approaches to target EWS–ETS fusions in this disease.Significance: We performed next-generation sequencing of Ewing sarcoma, a pediatric cancer involving bone, characterized by expression of EWS–ETS fusions. We found remarkably few mutations. However, we discovered that loss of STAG2 expression occurs in 15% of tumors and is associated with metastatic disease, suggesting a potential genetic vulnerability in Ewing sarcoma. Cancer Discov; 4(11); 1326–41. ©2014 AACR.This article is highlighted in the In This Issue feature, p. 1243

Supplemental Figure 1: Consort diagram

Supplementary tables 1-4 and supplementary figure legend

Supplemental Figure 5: SSNVs detected in the cancer-related genes across 68 ctDNA WES samples

Supplemental Figure 2: Plasma circulating tumor DNA (ctDNA) collection and analysis

Purpose:Sensitivity to endocrine therapy (ET) is critical for the clinical benefit from the combination of palbociclib plus ET in hormone receptor–positive/HER2-negative (HR+/HER2−) advanced breast cancer. Bazedoxifene is a third-generation selective estrogen receptor (ER) modulator and selective ER degrader with activity in preclinical models of endocrine-resistant breast cancer, including models harboring ESR1 mutations. Clinical trials in healthy women showed that bazedoxifene is well tolerated.Patients and Methods:We conducted a phase Ib/II study of bazedoxifene plus palbociclib in patients with HR+/HER2− advanced breast cancer who progressed on prior ET (N = 36; NCT02448771).Results:The study met its primary endpoint, with a clinical benefit rate of 33.3%, and the safety profile was consistent with what has previously been seen with palbociclib monotherapy. The median progression-free survival (PFS) was 3.6 months [95% confidence interval (CI), 2.0–7.2]. An activating PIK3CA mutation at baseline was associated with a shorter PFS (HR = 4.4; 95% CI, 1.5–13; P = 0.0026), but activating ESR1 mutations did not impact the PFS. Longitudinal plasma circulating tumor DNA whole-exome sequencing (WES; N = 68 plasma samples) provided an overview of the tumor heterogeneity and the subclonal genetic evolution, and identified actionable mutations acquired during treatment.Conclusions:The combination of palbociclib and bazedoxifene has clinical efficacy and an acceptable safety profile in a heavily pretreated patient population with advanced HR+/HER2− breast cancer. These results merit continued investigation of bazedoxifene in breast cancer.

Supplemental Figure 4: Overview of SSNVs in 68 ctDNA WES samples

Supplemental Figure 6: Evolutionary analysis of longitudinal plasma ctDNA samples

Purpose:Leiomyosarcoma and liposarcoma are common subtypes of soft tissue sarcoma (STS). Patients with metastatic leiomyosarcoma or dedifferentiated liposarcoma (DDLPS) typically have worse outcomes compared with localized leiomyosarcoma or well-differentiated liposarcoma (WDLPS). A better understanding of genetic changes between primary/metastatic leiomyosarcoma and between WDLPS/DDLPS may provide insight into their genetic evolution.Experimental Design:We interrogated whole-exome sequencing (WES) from “trios” of normal tissue, primary tumor, and metastatic tumor from individual patients with leiomyosarcoma (n = 9), and trios of normal tissue, well-differentiated tumor, and dedifferentiated tumor from individual patients with liposarcoma (n = 19). Specifically, we performed mutational, copy number, and tumor evolution analyses on these cohorts and compared patterns among leiomyosarcoma and liposarcoma trios.Results:Leiomyosarcoma cases harbored shared drivers through a typical parent/child relationship where the metastatic tumor was derived from the primary tumor. In contrast, while all liposarcoma cases shared the characteristic focal chromosome 12 amplicon, most paired liposarcoma cases did not share additional mutations, suggesting a divergent evolutionary pattern from a common precursor. No highly recurrent genomic alterations from WES were identified that could be implicated as driving the progression of disease in either sarcoma subtype.Conclusions:From a genomic perspective, leiomyosarcoma metastases contain genetic alterations that are also found in primary tumors. WDLPS and DDLPS, however, appear to divergently evolve from a common precursor harboring 12q amplification, rather than as a transformation to a higher-grade tumor. Further efforts to identify specific drivers of these distinct evolutionary patterns may inform future translational and clinical research in STS.

Supplementary Tables 11-12

Supplementary Table 1

Purpose:Adoptive cell therapy (ACT) of tumor-infiltrating lymphocytes (TIL) historically yields a 40%–50% response rate in metastatic melanoma. However, the determinants of outcome are largely unknown.Experimental Design:We investigated tumor-based genomic correlates of overall survival (OS), progression-free survival (PFS), and response to therapy by interrogating tumor samples initially collected to generate TIL infusion products.Results:Whole-exome sequencing (WES) data from 64 samples indicated a positive correlation between neoantigen load and OS, but not PFS or response to therapy. RNA sequencing analysis of 34 samples showed that expression of PDE1C, RTKN2, and NGFR was enriched in responders who had improved PFS and OS. In contrast, the expression of ELFN1 was enriched in patients with unfavorable response, poor PFS and OS, whereas enhanced methylation of ELFN1 was observed in patients with favorable outcomes. Expression of ELFN1, NGFR, and PDE1C was mainly found in cancer-associated fibroblasts and endothelial cells in tumor tissues across different cancer types in publicly available single-cell RNA sequencing datasets, suggesting a role for elements of the tumor microenvironment in defining the outcome of TIL therapy.Conclusions:Our findings suggest that transcriptional features of melanomas correlate with outcomes after TIL therapy and may provide candidates to guide patient selection.

Tamoxifen is widely used in the adjuvant treatment of estrogen receptor–positive (ER+) breast cancer and is an important drug for pre-menopausal women and post-menopausal patients who cannot tolerate aromatase inhibitors. Despite the clear clinical benefit in improving relapse-free and overall survival in these patients, an adverse effect of tamoxifen is a 2- to 7-fold increased risk of uterine cancer (UC) after 2-5 years of treatment. To date, the mechanism of tamoxifen-driven tumorigenesis is not well understood, and preventive approaches are lacking. Here, to molecularly characterize tamoxifen-associated uterine cancers (TA-UCs) and gain insights into their unique evolution, we performed whole-exome sequencing of 21 TA-UCs (discovery cohort) and droplet digital PCR (ddPCR) of an additional 40 TA-UCs (validation cohort) obtained from the ‘Tamoxifen Associated Malignancies: Aspects of Risk’ (TAMARISK) study. In addition, we used in vivo mouse models to: (i) further investigate tamoxifen-activated molecular pathways that may be involved in TA-UC tumorigenesis; and (ii) offer mechanistic insights. Overall, we discovered that TA-UCs were genomically similar to non–TA-UCs from The Cancer Genome Atlas (TCGA) project, with one profound exception: TA-UCs are characterized by a lower-than-expected frequency of mutations in two highly prevalent UC driver genes in the PI3K pathway: PIK3CA (14% [3/21] vs 48% [265/554] in non–TA-UC; P=0.003, Fisher’s exact test; Q=0.02, Benjamini-Hochberg FDR) and PIK3R1 (0%, [0/21] vs 31% [174/554]; P=0.001; Q=0.01). We used ddPCR in the independent TA-UC validation cohort and confirmed the low frequency of mutations in PIK3CA (7.5% [3/40] vs 21% [144/685] in control UCs from the Dana-Farber contribution to the AACR GENIE project; P=0.04). We next performed mouse in vivo studies and demonstrated that tamoxifen activated the PI3K pathway and increased cell proliferation in normal mouse uterine tissue through paracrine and autocrine effects, both of which were abrogated by the PI3K inhibitor alpelisib. Taken together, we describe a distinct and novel pathway of carcinogenesis in which tamoxifen acts as a driver event in the uterus and promotes tumor development in a mutation-independent manner. Indeed, tamoxifen may increase the risk of UC by activating the PI3K pathway, which can substitute for the early acquisition of oncogenic PIK3CA or PIK3R1 mutations observed in non–TA-UC tumors. Furthermore, the ability of a PI3K inhibitor to reduce cell proliferation in our mouse model raises the possibility that downregulating the PI3K pathway may prevent or significantly reduce TA-UC development, offering a potential future therapeutic and prevention strategy for specific high-risk patients undergoing tamoxifen therapy. Citation Format: Kirsten Kubler, Agostina Nardone, Shankara Anand, Daniel Gorvich, Marjolein Droog, Francisco Hermida-Prado, Tara Akshi, Avery S Feit, Gabriella Cohen, Gwen Dackus, Matthew Pun, Yanan Kuang, Justin Cha, Mendy Miller, William J Gibson, Cloud P Paweletz, Eliezer M Van Allen, Flora E van Leeuwen, Petra Nederlof, Harry Hollema, Quang-Dé Nguyen, Marian JE Mourits, Ignaty Leshchiner, Chip Stewart, Ursula A Matulonis, Wilbert Zwart, Yosef E Maruvka, Gad Getz, Rinath Jeselsohn. Tamoxifen instigates uterine cancer development by activating PI3K signaling and supersedes PIK3CA driver mutations [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS2-09.

Recent advances in cancer characterization have consistently revealed marked heterogeneity, impeding the completion of integrated molecular and clinical maps for each malignancy. Here, we focus on chronic lymphocytic leukemia (CLL), a B cell neoplasm with variable natural history which is conventionally categorized into two subtypes distinguished by extent of somatic mutations in the heavy chain variable region of immunoglobulin genes (IGHV). To build the ‘CLL map,’ we integrated genomic, transcriptomic, and epigenomic data from 1148 patients. We identified 202 candidate genetic drivers of CLL (109 novel) and refined the characterization of IGHV subtypes, which revealed distinct genomic landscapes and leukemogenic trajectories. Discovery of new gene expression subtypes further subcategorized this neoplasm and proved to be independent prognostic factors. Clinical outcomes were associated with a combination of genetic, epigenetic, and gene expression features, further advancing our prognostic paradigm. Overall, this work reveals fresh insights into CLL oncogenesis and prognostication.

Background. Despite substantial progress in the treatment of HER2+ MBC, most patients (pts) still experience disease progression and cancer-related death. HER2-directed TKIs are highly effective therapies for pts with HER2+ MBC; however, an understanding of resistance mechanisms is needed. Pts receiving HER2-directed TKIs with cell-free DNA (cfDNA) sampling across the treatment spectrum present a unique opportunity to examine genomic alterations. Methods. Pts with biopsy-proven HER2+ MBC were selected from DF/HCC approved protocols for ultra-low pass whole genome sequencing if ≥1 cfDNA and/or tissue sample had been collected prior to and after at least six weeks of TKI treatment. Only pts with ≥ 1 sample with tumor fraction (TFx) ≥ 9.5% and ≥ 1 additional sample with TFx ≥ 4.5% were analyzed. Whole exome sequencing (WES) was performed on 19 tumor biopsies and 64 cfDNA samples from 25 pts. WES samples were analyzed, variants called and annotated, copy number profiles inferred, and TFx estimated. PhylogicNDT was used to detect the phylogenetic architecture, and clones were identified as growing, stable, shrinking, or truncal; mutational signatures were called using SignatureAnalyzer. After filtering likely benign variants, mutations were labeled likely resistance mechanisms if there was known evidence of resistance to anti-HER2 therapy in a human breast cancer cell line, breast cancer mouse models, or in vivo. Findings were correlated with pt clinicopathologic data. Results. In 4/8 pts with acquired resistance (TKI treatment ≥ 180 days), we identified alterations in previously characterized pathways and genes that could explain treatment resistance (e.g. PIK3CA, ERBB2, FGFR2). Mutations in growing subclones identified potential novel mechanisms of resistance and included inactivating mutations in CDK12, KMT2D, KMT2C, CHEK2, BRCA2, and FAT1 genes. In 7/17 pts with intrinsic resistance, we identified mutations in overlapping pathways and genes such as ERBB2 and PIK3CA, which were present in both growing subclonal and truncal clones. Four pts with hormone receptor positive disease - two of whom had not received prior aromatase inhibitors - had an activating ESR1 hotspot mutation (D538G). This raises the possibility that activating ESR1 mutations may be involved in resistance in these cases. Mutational signature analysis revealed a subset of samples with widespread APOBEC activation (with and without hyper mutation), subclonal HR/MMR-related signature, and capecitabine-related 5FU signature. Conclusions. Genomic analysis of paired samples from pts with HER2+ MBC identifies candidate resistance mechanisms to anti-HER2 TKIs and clonal evolution over time in the context of heterogeneity in treatment and sample timing. Additional studies will determine the functional role and clinical utility of assessing these alterations to overcome resistance. Citation Format: Heather A. Parsons, Conor Messer, Katheryn Santos, Brian P. Danysh, Melissa E. Hughes, Ashka Patel, Raquel A. Jacobs, Kara Slowik, Julian Hess, Chip Stewart, Kristy Schlueter-Kuck, Kahn Rhrissorrakrai, Filippo Utro, Chaya Levovitz, Nikhil Wagle, Jose Pablo Leone, Rachel Freedman, Laxmi Parida, Ian E. Krop, Gad Getz, Nancy U. Lin. Genomic mechanisms of resistance to tyrosine kinase inhibitors (TKIs) in HER2+ metastatic breast cancer (HER2+ MBC). [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3874.

Responders to checkpoint blockade in Non Small Cell Lung Cancer (NSCLC) often feature an inflamed microenvironment prior to therapy. However, the complete set of molecular drivers connecting this histologic observation to enhanced tumor clearance remain enigmatic. In updated analysis of the Stand Up 2 Cancer-Mark Foundation (SU2C-MARK) Cohort - a collection of 393 patients with whole exome and/or RNA sequencing along with matched checkpoint blockade response annotation - we identify a prominent predictive role for inducible components of the immunoproteasome, a non-canonical peptide processing complex upstream of antigen presentation. Notably, these subunits are enriched as predictors relative to interferon-inducible genes as well as proteasome components in general, and are consistently associated with objective response, progression-free survival and overall survival. Expression of Immunoproteasome subunits associates positively with TCR (but not BCR) burden, supporting a mechanistic model in which enhanced immunoproteasome processivity leads to superior T-cell recognition. Furthermore, although they are known to be targets of interferon gamma (IFNɣ), we demonstrate that their expression is better modeled via a combination of IFNɣ and tumor necrosis factor-α (TNFα) levels, suggesting they may act as integrators of multiple cytokine cascades. Given the fact that the immunoproteasome can alter both antigen quantity as well as quality (including peptide cleavage site preference), the enhanced expression of this complex in the setting of checkpoint blockade response may have important implications for modeling of antigen presentation. These data also suggest novel strategies to enhance immune checkpoint blockade. Citation Format: Vivek Naranbhai, Arvind Ravi, Matthew Hellmann, Monica Arniella, Mark Holton, Samuel Freeman, Chip Stewart, Ignaty Leshchiner, Jaegil Kim, Yo Akiyama, Aaron Griffin, Natalie Vokes, Mustafa Sakhi, Vashine Kamesan, Hira Rizvi, Biagio Ricciuti, Patrick Forde, Valsamo Anagnostou, Jonathan Riess, Don Gibbons, Nathan Pennell, Vamsidhar Velcheti, Subba Digumarthy, Mari Mino-Kenudson, Andrea Califano, John Heymach, Roy Herbst, Julie Brahmer, Kurt Schalper, Victor Velculescu, Brian Henick, Naiyer Rizvi, Pasi Janne, Mark Awad, Andrew Chow, Benjamin Greenbaum, Marta Luksza, Alice Shaw, Jedd Wolchok, Nir Hacohen, Gad Getz, Justin Gainor. Immunoproteasome expression and checkpoint blockade response in advanced non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3468.

Genomics of radiation-induced damage The potential adverse effects of exposures to radioactivity from nuclear accidents can include acute consequences such as radiation sickness, as well as long-term sequelae such as increased risk of cancer. There have been a few studies examining transgenerational risks of radiation exposure but the results have been inconclusive. Morton et al. analyzed papillary thyroid tumors, normal thyroid tissue, and blood from hundreds of survivors of the Chernobyl nuclear accident and compared them against those of unexposed patients. The findings offer insight into the process of radiation-induced carcinogenesis and characteristic patterns of DNA damage associated with environmental radiation exposure. In a separate study, Yeager et al. analyzed the genomes of 130 children and parents from families in which one or both parents had experienced gonadal radiation exposure related to the Chernobyl accident and the children were conceived between 1987 and 2002. Reassuringly, the authors did not find an increase in new germline mutations in this population. Science , this issue p. eabg2538 , p. 725