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Small-cell lung cancer (SCLC) is speculated to harbor complex genomic intratumor heterogeneity (ITH) associated with high recurrence rate and suboptimal response to immunotherapy. Here, using multi-region whole exome/T cell receptor (TCR) sequencing as well as immunohistochemistry, we reveal a rather homogeneous mutational landscape but extremely cold and heterogeneous TCR repertoire in limited-stage SCLC tumors (LS-SCLCs). Compared to localized non-small cell lung cancers, LS-SCLCs have similar predicted neoantigen burden and genomic ITH, but significantly colder and more heterogeneous TCR repertoire associated with higher chromosomal copy number aberration (CNA) burden. Furthermore, copy number loss of IFN-γ pathway genes is frequently observed and positively correlates with CNA burden. Higher mutational burden, higher T cell infiltration and positive PD-L1 expression are associated with longer overall survival (OS), while higher CNA burden is associated with shorter OS in patients with LS-SCLC., Small-cell lung cancer (SCLC) is an aggressive disease with limited therapeutic options. Here the authors perform an immunogenomic analysis of limited-stage SCLC, revealing a homogeneous mutational landscape, but limited T-cell infiltration and a cold and heterogeneous T cell repertoire.

Allosteric inhibitors of mutant IDH1 or IDH2 induce terminal differentiation of the mutant leukemic blasts and provide durable clinical responses in approximately 40% of acute myeloid leukemia (AML) patients with the mutations. However, primary resistance and acquired resistance to the drugs are major clinical issues. To understand the molecular underpinnings of clinical resistance to IDH inhibitors (IDHi), we perform multipronged genomic analyses (DNA sequencing, RNA sequencing and cytosine methylation profiling) in longitudinally collected specimens from 60 IDH1- or IDH2-mutant AML patients treated with the inhibitors. The analysis reveals that leukemia stemness is a major driver of primary resistance to IDHi, whereas selection of mutations in RUNX1/CEBPA or RAS-RTK pathway genes is the main driver of acquired resistance to IDHi, along with BCOR, homologous IDH gene, and TET2. These data suggest that targeting stemness and certain high-risk co-occurring mutations may overcome resistance to IDHi in AML. The regulation of resistance to IDH inhibitors in acute myeloid leukaemia is not completely understood. Here the authors reveal with integrative multi-omics analyses that stemness features are major drivers of primary resistance, while high-risk mutations drive acquired resistance.

The mechanism by which anti-cancer immunity shapes early carcinogenesis of lung adenocarcinoma (ADC) is unknown. In this study, we characterize the immune contexture of invasive lung ADC and its precursors by transcriptomic immune profiling, T cell receptor (TCR) sequencing and multiplex immunofluorescence (mIF). Our results demonstrate that anti-tumor immunity evolved as a continuum from lung preneoplasia, to preinvasive ADC, minimally-invasive ADC and frankly invasive lung ADC with a gradually less effective and more intensively regulated immune response including down-regulation of immune-activation pathways, up-regulation of immunosuppressive pathways, lower infiltration of cytotoxic T cells (CTLs) and anti-tumor helper T cells (Th), higher infiltration of regulatory T cells (Tregs), decreased T cell clonality, and lower frequencies of top T cell clones in later-stages. Driver mutations, chromosomal copy number aberrations (CNAs) and aberrant DNA methylation may collectively impinge host immune responses and facilitate immune evasion, promoting the outgrowth of fit subclones in preneoplasia into dominant clones in invasive ADC. The evolution of immune landscape in lung adenocarcinoma (ADC) is largely unknown. Here the authors use a cohort of resected invasive lung ADC and its precursors and show a gradual increase of immunosuppression and decrease of anti-tumor response associated with specific genomic and epigenetic features.

Introduction The combination of programmed cell death protein-1 or programmed death-ligand 1 immune checkpoint blockade and chemotherapy has revolutionized the treatment of advanced NSCLC, but the mechanisms underlying this synergy remain incompletely understood. In this study, we explored the relationships between neoadjuvant chemotherapy and the immune microenvironment (IME) of resectable NSCLC to identify novel mechanisms by which chemotherapy may enhance the effect of immune checkpoint blockade. Methods Genomic, transcriptomic, and immune profiling data of 511 patients treated with neoadjuvant chemotherapy followed by surgery (NCT) versus upfront surgery (US) were compared with determined differential characteristics of the IMEs derived from whole-exome sequencing (NCT = 18; US = 73), RNA microarray (NCT = 45; US = 202), flow cytometry (NCT = 17; US = 39), multiplex immunofluorescence (NCT = 10; US = 72), T-cell receptor sequencing (NCT = 16 and US = 63), and circulating cytokines (NCT = 18; US = 73). Results NCT was associated with increased infiltration of cytotoxic CD8+ T cells and CD20+ B cells. Moreover, NCT was associated with increases in CD8+CD103+ and CD4+CD103+PD-1+TIM3− tissue resident memory T cells. Gene expression profiling supported memory function of CD8+ and CD4+ T cells. However, NCT did not affect T-cell receptor clonality, richness, or tumor mutational burden. Finally, NCT was associated with decreased plasma BDNF (TrkB) at baseline and week 4 after surgery. Conclusions Our study supports that, in the context of resectable NSCLC, neoadjuvant chemotherapy promotes antitumor immunity through T and B cell recruitment in the IME and through a phenotypic change toward cytotoxic and memory CD8+ and CD4+ memory helper T cells.

BackgroundLung cancer is the leading cause of cancer death, partially owing to its extensive heterogeneity. The analysis of intertumor heterogeneity has been limited by an inability to concurrently obtain tissue from synchronous metastases unaltered by multiple prior lines of therapy.MethodsIn order to study the relationship between genomic, epigenomic and T cell repertoire heterogeneity in a rare autopsy case from a young female never-smoker with late-stage lung adenocarcinoma (LUAD), we did whole-exome sequencing (WES), DNA methylation and T-cell receptor (TCR) sequencing to characterize the immunogenomic landscape of one primary and 19 synchronous metastatic tumors.ResultsWe observed heterogeneous mutation, methylation, and T cell patterns across distinct metastases including a set of prevalent T cell clonotypes which were completely excluded from left-side thoracic tumors. Though a limited number of predicted neoantigens were shared, these were associated with homology of the T cell repertoire across metastases. Lastly, ratio of methylated neoantigen coding mutations was negatively associated with T-cell density, richness and clonality, suggesting neoantigen methylation may partially drive immunosuppression.ConclusionsOur study demonstrates heterogeneous genomic and T cell profiles across synchronous metastases and how restriction of unique T cell clonotypes within an individual may differentially shape the genomic and epigenomic landscapes of synchronous lung metastases.

Background The success of allogenic stem cell transplantation in curing AML suggests that the immune system can be harnessed to eradicate AML. In a phase 2 trial (NCT02397720) in relapsed/refractory (R/R) AML patients, we demonstrated that the azacitidine/nivolumab combination improved response rates and median overall survival compared with similar patients treated on other azacitidine-based studies (Daver et al Cancer Discovery 2019). The heterogenous response profiles and shorter duration of responses than seen in solid tumor patients suggested hitherto undefined tumor intrinsic, tumor microenvironment (TME) and T cell factors may impede PD-1 blockade therapy in AML. Methods We performed single cell RNA sequencing (scRNAseq) of 13,633 healthy bone marrow (BM) donor, and 113,394 BM cells from 22 aspirates (8 pre- and 14 post- treatment) from 8 R/R AML patients (median age 73 years; range 64-88 years) treated with azacitidine/nivolumab (Fig 1A). 3/8 patients were responders (2CR, 1 PR), while 2/8 and 3/8 had stable disease (SD), and no response (NR), respectively, allowing us to evaluate factors involved in response, relapse and resistance to azacitidine/nivolumab. Results A total of 60,753 AML and 52,641 TME cells passed scRNAseq quality check, with the proportion of identified AML cells correlating with clinical flow cytometry (r=0.87, p=1.5x10-7) and immunohistochemistry (r=0.73, p=0.0001). Pre- and post-treatment AML cells clustered by patient and had distinct cell cycle profiles regardless of response type, suggesting significant inter-tumor heterogeneity (Fig 1B). In an aggregate analysis of all cells at the pretreatment timepoint, the 3 responders had lower leukemia stemness (LSC17) scores compared with NR (p On paired single cell TCR analysis from 4,742 and 26,095 T cells from healthy and R/R AML BMs, respectively, T cells in the TME of AML patients had less clonal diversity and more oligoclonal dominance compared to healthy BMs (Fig 1G-H). Following treatment 76.9% and 72.4% of novel and expanded clones were contributed by responders, with non-responders contributing only 5% and 3.4% of the novel and expanded clones, respectively (Fig. 1I). Among responders, the majority of clones were either novel or expanded, whereas NR had mostly contracted clones. Conclusions: This is one of the first studies examining the effect of PD-1 blockade at single cell resolution in a hematologic malignancy. Further, this is the largest single study analyzing single AML cells longitudinally. AML cells harboring deletion 7/7q loss, enriched for LSC signature and metabolic/oxidative pathways, were features associated with resistance to azacitidine/nivolumab therapy. Azacitidine/nivolumab induced novel and expanded T cell clonotypes primarily in responders. Disentangling AML cells from their complex microenvironment revealed characteristics that shaped resistance to ICB-based therapy and could inform strategies to target AML vulnerabilities. Disclosures DiNardo: Takeda: Honoraria; Novartis: Consultancy; AbbVie: Consultancy, Honoraria, Research Funding; Syros: Honoraria; MedImmune: Honoraria; Jazz: Honoraria; Agios: Consultancy, Honoraria, Research Funding; ImmuneOnc: Honoraria; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Calithera: Research Funding; Notable Labs: Membership on an entity's Board of Directors or advisory committees. Kadia:Pfizer: Honoraria, Research Funding; Cyclacel: Research Funding; Incyte: Research Funding; Novartis: Honoraria; Abbvie: Honoraria, Research Funding; Astellas: Research Funding; Cellenkos: Research Funding; Ascentage: Research Funding; Amgen: Research Funding; JAZZ: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Astra Zeneca: Research Funding; Celgene: Research Funding; Genentech: Honoraria, Research Funding; Pulmotec: Research Funding. Ravandi:Celgene: Consultancy, Honoraria; Orsenix: Consultancy, Honoraria, Research Funding; Macrogenics: Research Funding; Astellas: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding. Borthakur:Xbiotech USA: Research Funding; BioLine Rx: Research Funding; PTC Therapeutics: Consultancy; BioLine Rx: Consultancy; Incyte: Research Funding; Novartis: Research Funding; Jannsen: Research Funding; Abbvie: Research Funding; Cyclacel: Research Funding; Argenx: Consultancy; FTC Therapeutics: Consultancy; Treadwell Therapeutics: Consultancy; PTC Therapeutics: Research Funding; Polaris: Research Funding; BMS: Research Funding; Oncoceutics: Research Funding; Nkarta Therapeutics: Consultancy; BioTherix: Consultancy; GSK: Research Funding; Curio Science LLC: Consultancy; AstraZeneca: Research Funding. Konopleva:Ascentage: Research Funding; Eli Lilly: Research Funding; Rafael Pharmaceutical: Research Funding; Forty-Seven: Consultancy, Research Funding; Ablynx: Research Funding; Amgen: Consultancy; F. Hoffmann La-Roche: Consultancy, Research Funding; AstraZeneca: Research Funding; AbbVie: Consultancy, Research Funding; Calithera: Research Funding; Reata Pharmaceutical Inc.;: Patents & Royalties: patents and royalties with patent US 7,795,305 B2 on CDDO-compounds and combination therapies, licensed to Reata Pharmaceutical; Kisoji: Consultancy; Cellectis: Research Funding; Sanofi: Research Funding; Genentech: Consultancy, Research Funding; Stemline Therapeutics: Consultancy, Research Funding; Agios: Research Funding. Garcia-Manero:Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Jazz Pharmaceuticals: Consultancy; Acceleron Pharmaceuticals: Consultancy, Honoraria; Helsinn Therapeutics: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Astex Pharmaceuticals: Consultancy, Honoraria, Research Funding; Amphivena Therapeutics: Research Funding; Novartis: Research Funding; AbbVie: Honoraria, Research Funding; H3 Biomedicine: Research Funding; Onconova: Research Funding. Green:KDAc Therapeutics: Current equity holder in private company. Sharma:Achelois: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioAlta: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Codiak BioSciences: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Constellation: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Dragonfly Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Hummingbird: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; ImaginAb: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Jounce Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Lava Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Lytix Biopharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Marker Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Oncolytics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Infinity Pharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioNTech: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Glympse: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Polaris: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Allison:Achelois: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioAlta: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Codiak BioSciences: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Dragonfly Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Hummingbird: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; ImaginAB: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Jounce Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Lava Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Lytix Biopharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Marker Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Polaris: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioNTech: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Daver:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Trillium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Syndax: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Fate Therapeutics: Research Funding; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Research Funding; Servier: Research Funding; Genentech: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novimmune: Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Trovagene: Research Funding; ImmunoGen: Research Funding; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

There has been a dramatic increase in the detection of lung nodules, many of which are preneoplasia atypical adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) or invasive adenocarcinoma (ADC). The molecular landscape and the evolutionary trajectory of lung preneoplasia have not been well defined. Here, we perform multi-region exome sequencing of 116 resected lung nodules including AAH (n = 22), AIS (n = 27), MIA (n = 54) and synchronous ADC (n = 13). Comparing AAH to AIS, MIA and ADC, we observe progressive genomic evolution at the single nucleotide level and demarcated evolution at the chromosomal level supporting the early lung carcinogenesis model from AAH to AIS, MIA and ADC. Subclonal analyses reveal a higher proportion of clonal mutations in AIS/MIA/ADC than AAH suggesting neoplastic transformation of lung preneoplasia is predominantly associated with a selective sweep of unfit subclones. Analysis of multifocal pulmonary nodules from the same patients reveal evidence of convergent evolution., There has been a drastic increase in detection of lung nodules, many of which are precancers, preinvasive, minimally invasive or sometimes invasive lung cancers. Here, Hu et al. perform multi-region exome sequencing to discern the evolutional trajectory from precancers to invasive lung cancers.

Aberrant T-cell function is implicated in the pathogenesis of myelodysplastic syndrome (MDS). Monitoring the T-cell receptor (TCR) repertoire can provide insights into T-cell adaptive immunity. Previous studies found skewed TCR repertoires in MDS compared to healthy patients; however these studies that leverage mRNA-based spectratyping have limitations. Furthermore, evaluating the TCR repertoire in context of hypomethylating agents (HMAs) treatment can provide insights into the dynamics of T-cell mediated responses in MDS. We conducted immunosequencing of the CDR3 regions of TCRβ chains in bone marrows of 11 MDS patients prior to treatment (n=11 bone marrows prior to treatment), and in at least 2 timepoints for each patient following treatment (n=26 bone marrow aspirates post-treatment) with (HMA), alongside analyzing bone marrows from 4 healthy donors as controls. TCR repertoires in MDS patients were more clonal and less diverse than healthy donors. However, unlike previous reports, we did not observe significant skewness in CDR3 length or spectratyping. The global metrics of TCR profiling including richness, clonality, overlaps were not significantly changed in responders or non-responders following treatment with HMAs. However, we found an emergence of novel clonotypes in MDS patients who responded to treatment, while non-responders had a higher frequency of contracted clonotypes following treatment. By applying GLIPH2 for antigen prediction, we found rare TCR specificity clusters shared by TCR clonotypes from different patients at pre- or following treatment. Our data show clear differences in TCR repertoires of MDS compared with healthy patients and that novel TCR clonotype emergence in response to HMA therapy was correlated with response. This suggests that response to HMA therapy may be partially driven by T-cell mediated immunity and that the immune-based therapies, which target the adaptive immune system, may play a significant role in select patients with MDS.

Small-cell lung cancer (SCLC) is speculated to harbor complex genomic intratumor heterogeneity (ITH) associated with high recurrence rate and suboptimal response to immunotherapy. Here, using multi-region whole exome/T cell receptor (TCR) sequencing as well as immunohistochemistry (IHC), we revealed a rather homogeneous mutational landscape but extremely cold and heterogeneous TCR repertoire in limited-stage SCLC (LS-SCLC) tumors. Compared to localized non-small cell lung cancers (NSCLCs), LS-SCLCs had similar predicted neoantigen burden and genomic ITH, but significantly colder and more heterogeneous TCR repertoire associated with higher chromosomal copy number aberration (CNA) burden. Higher mutational burden, higher T cell infiltration and positive PD-L1 expression were associated with longer overall survival (OS), while higher CNA burden were associated with shorter OS in patients with LS-SCLC.

In contrast to the curative effect of allogenic stem cell transplantation in acute myeloid leukemia via T cell activity, only modest responses are achieved with checkpoint-blockade therapy, which might be explained by T cell phenotypes and T cell receptor (TCR) repertoires. Here, we show by paired single-cell RNA analysis and TCR repertoire profiling of bone marrow cells in relapsed/refractory acute myeloid leukemia patients pre/post azacytidine+nivolumab treatment that the disease-related T cell subsets are highly heterogeneous, and their abundance changes following PD-1 blockade-based treatment. TCR repertoires expand and primarily emerge from CD8+ cells in patients responding to treatment or having a stable disease, while TCR repertoires contract in therapy-resistant patients. Trajectory analysis reveals a continuum of CD8+ T cell phenotypes, characterized by differential expression of granzyme B and a bone marrow-residing memory CD8+ T cell subset, in which a population with stem-like properties expressing granzyme K is enriched in responders. Chromosome 7/7q loss, on the other hand, is a cancer-intrinsic genomic marker of PD-1 blockade resistance in AML. In summary, our study reveals that adaptive T cell plasticity and genomic alterations determine responses to PD-1 blockade in acute myeloid leukemia., The response rate of relapsed/refractory acute myeloid leukemia patients to PD-1 checkpoint blockade is low and unpredictable. Authors here show by single cell RNA sequencing, T cell receptor profiling and genomic analysis that the phenotypes and repertoire of CD8 + T cells and loss of chromosome 7/7q are important determinants of response.

Histology plays an essential role in therapeutic decision-making for lung cancer patients. However, the molecular determinants of lung cancer histology are largely unknown. We conducted whole-exome sequencing(WES) and microarray profiling on 19 micro-dissected tumor regions of different histologic subtypes from 9 patients with lung cancers of mixed histology. A median of 68.9% of point mutations and 83% of copy number aberrations were shared between different histologic components within the same tumors. Furthermore, different histologic components within the tumors demonstrated similar subclonal architecture. On the other hand, transcriptomic profiling revealed shared pathways between the same histologic subtypes from different patients, which was supported by the analyses of the transcriptomic data from 141 cell lines and 343 lung cancers of different histologic subtypes. These data suggest that histology of lung cancers may be determined at the transcriptomic level rather than the genomic level.

Background Allogeneic stem cell transplantation can cure relapsed/refractor (R/R) AML via grafted T cells versus leukemia effect, but not a viable option to many patients. By combining azacitidine with nivolumab, we harnessed T cell activity and demonstrated 33% response rates. The tumor microenvironment (TME) factors impacting response and resistance to PD-1 blockade-based treatment in AML are unknown. Methods We performed single cell RNA sequencing (scRNAseq) on 113,394 bone marrow (BM) cells, paired with >30,000 single cell T cell receptor (scTCR) repertoires, from 8 pre- and 14 post- azacitidine/nivolumab treatment aspirates of 8 R/R AML patients (median age 73 years; 3 responders; 3 non-responders; 2 stable disease) (figure 1). Results Inferred copy number loss of chromosome 7/7q (chr7/7q) by scRNAseq was associated with resistance to azacitidine/nivolumab (figure 2A), which was validated in a larger cohort based on clinical karyotyping (figure 2B). There was significant enrichment (q Conclusions Chr7/7q loss is associated with resistance to PD-1 blockade. CD8 cells exist in a continuum in BMs of patients with AML and GZMK expression identifies a stem-like, memory T cell subset. The subverted T cells can be reinvigorated via PD-1 blockade and induce responses in AML driven via novel and expanded clones demonstrating AML T cell plasticity and adaptability. Further functional characterization of GZMK expressing lymphocytes in mediating antileukemic responses is underway. Ethics Approval The study was approved by IRB at MD Anderson Cancer Center

Acute myeloid leukemia (AML) and effector cells of immune checkpoint blockade (ICB) therapy co-reside in a complex bone marrow (BM) milieu. The interplay of tumor intrinsic and microenvironment (TME) mechanisms that influences the response to ICB-based therapies in AML have not been elucidated. Here we report our analyses of single cell RNA profiling of more than 127,000 BM cells from healthy donors and relapsed/refractory (R/R) AML patients at pre/post treatment with azacitidine/nivolumab, paired with single cell T cell receptor (TCR) repertoire profiles, to uncover factors impacting response and resistance. Loss of chromosome 7/7q conferred an immunosuppressive TME and was associated with resistance to ICB-based therapy in R/R AML. Our trajectory analysis revealed a continuum of CD8+ T cell phenotypes, characterized by differential expression of granzyme B (GZMB) and GZMK. GZMK expression defined a BM residing memory CD8+ T cell subset with stem-like properties likely an intermediary between naïve and cytotoxic lymphocytes. Responses to ICB-based therapy were primarily driven by novel and expanded T cell clonotypes. Our findings support an adaptable T cell plasticity in response to PD-1 blockade in AML. Disentangling AML cells from their complex, immune-rich microenvironment revealed characteristics that shaped resistance to ICB-based therapy and could inform strategies to target AML vulnerabilities.SignificanceDetermining the cellular and molecular underpinnings of response and resistance to PD-1 blockade based therapy in AML can guide immune-based therapeutic strategies. Our results reveal AML intrinsic characteristics (chromosome 7/7q status and oxidative stressors) and tumor microenvironment to modulate responses to checkpoint blockers. CD8 cells exist in the bone marrow in a continuum with GZMK expression defining a memory, stem-like T cell population that could play a role in response to therapy.

SUMMARYHow anti-cancer immunity shapes early carcinogenesis of lung adenocarcinoma (ADC) is unknown. We characterized immune contexture of invasive lung ADC and its precursors by transcriptomic immune profiling, T cell receptor (TCR) sequencing and multiplex immunofluorescence. Our results demonstrated that anti-tumor immunity evolved as a continuum from lung preneoplasia, to preinvasive ADC, minimally-invasive ADC and frankly invasive lung ADC with a gradually less effective and more intensely regulated immune response including down-regulation of immune-activation pathways, up-regulation of immunosuppressive pathways, higher infiltration of CD4+ T cells, lower infiltration of CD8+ T cells, decreased T cell clonality, and lower frequencies of top T cell clones in later stages. Driver mutations, HLA loss, chromosomal copy number aberrations and DNA methylation changes may collectively impinge host immune responses and facilitate immune evasion as a potential mechanism underlying outgrowth of the most fit subclones in preneoplasia into dominant clones in invasive ADC.SIGNIFICANCEThere has been a drastic increase in the detection of lung nodules, many of which are lung ADC precursors. The management of these lung nodules is controversial. We discovered that immune activation and evasion have started at preneoplastic stage and lung ADC precursors may exhibit an overall better-preserved anti-tumor immune contexture suggesting therapeutic strategies reprograming the immune microenvironment in patients with lung ADC precursors prior to further immunosuppression in invasive lung cancers may be beneficial. These findings have served as the critical scientific rationale for our immunoprevention clinical trial IMPRINT-Lung (NCT03634241) recruiting individuals diagnosed with lung nodules at high risk developing invasive lung cancers.

The integrity of the immune system represents a pivotal risk factor and prognostic biomarker for Merkel cell carcinoma. A higher density of tumor-associated T cells correlates with improved Merkel cell carcinoma–specific survival, but the prognostic importance of the T-cell infiltrate reactivity is unknown. We evaluated the T-cell receptor repertoire associated with 72 primary Merkel cell carcinomas and correlated metrics of the T-cell receptor repertoire with clinicopathologic characteristics and patient outcomes. We showed that a high Simpson's Dominance index (SDom) was significantly associated with fewer metastases (P = 0.01), lower stage at presentation (P = 0.02), lower final stage at last follow-up (P = 0.05), and longer time to first lymph node metastasis (P = 0.04). These correlations were mostly preserved in the Merkel cell polyomavirus–negative subgroup. Combining SDom with CD3+ or CD8+ T-cell density revealed three distinct prognostic groups with respect to disease-specific survival. Patients with both high SDom and high CD3+ or CD8+ T-cell density had markedly improved disease-specific survival compared with patients with low SDom and low CD3+ or CD8+ T-cell density (P = 0.002 and P = 0.03, respectively). Patients with either high SDom or high CD3+ or CD8+ had intermediate disease-specific survival. Our findings demonstrate that the quality of the tumor-associated T-cell infiltrate informs patient prognosis in primary Merkel cell carcinoma beyond the T-cell density.

Adult-type granulosa cell tumors of the ovary (aGCTs) are rare gynecologic malignancies that exhibit a high frequency of somatic FOXL2 c.C402G (p.Cys134Trp) mutation. Treatment of relapsed aGCT remains a significant clinical challenge. Here we show, using whole-exome and cancer gene panel sequencing of 79 aGCTs from two independent cohorts, that truncating mutation of the histone lysine methyltransferase gene KMT2D (also known as MLL2) is a recurrent somatic event in aGCT. Mono-allelic KMT2D-truncating mutations are more frequent in recurrent (10/44, 23%) compared with primary (1/35, 3%) aGCTs (p = 0.02, two-sided Fisher’s exact test). IHC detects additional non-KMT2D-mutated aGCTs with loss of nuclear KMT2D expression, suggesting that non-genetic KMT2D inactivation may occur in this tumor type. These findings identify KMT2D inactivation as a novel driver event in aGCTs and suggest that mutation of this gene may increase the risk of disease recurrence., Adult-type granulosa cell tumors of the ovary (aGCTs) are rare and recurrence is difficult to treat. Here, the authors observe in aGCT a novel recurrent somatic truncating mutation of KMT2D, more frequent in recurrent aGCT, and also non-genetic loss of KMT2D expression.

Objectives: To characterize distinct T cell repertoires between clinically well-defined groups of high-grade serous ovarian cancer (HGSC) patients, we obtained pre- treatment tumor samples via a laparoscopic triage algorithm. Methods: Pre-treated frozen tumor samples (one primary and two metastatic sites) were collected from patients with HGSC based on a laparoscopic triage algorithm: 1) patients who underwent complete gross resection after primary surgery (R0, n=10), 2) patients who received neoadjuvant chemotherapy (NACT) with excellent response (NACT-ER, n=10), or 3) patients who received NACT with poor response (NACT-PR, n=10). These samples were subjected to high-throughput TCR sequencing analysis and integrative analyses, with immune assessments and high-depth whole-genome sequencing from the matched samples among the groups. Results: We identified a rearranged complementary-determining region 3 (CDR3) of the T-cell receptor b (TCRb) gene using a total of 90 samples. Importantly, we identified higher TCR b-chain CDR3 diversity (i.e., a higher number of unique productive sequences, less clonal relatedness, and higher TCR convergence) in the R0 group than in the NACT groups. We also found enrichment of specific variable (V), diversity (D), and joining (J) genes usage in each group and significant unique mutual exclusivity and co-occurrence of V, D, and J genes in all three groups. In addition, we also found significant positive correlations between clonal relatedness and neoantigens (R=0.31, p=0.007), copy number variations (R=0.43, p Conclusions: Our findings provide a comprehensive understanding of TCR repertoire diversity in clinically defined HGSC subgroups, and could have prognostic and therapeutic strategies in HGSC.

Recent studies have revealed that clonal hematopoiesis of indeterminate potential (CHIP) is an important risk factor for therapy-related myeloid neoplasms (t-MNs). CHIP is currently defined as a clonal hematopoietic population carrying somatic point mutations in 1 of the leukemia-associated genes. Patients with t-MNs often present with chromosomal abnormalities in addition to somatic point mutations. It remains unclear whether chromosomal abnormalities can cooccur with point mutations as part of CHIP. Here we report that 3 of 14 patients with t-MNs had low amplitude but detectable chromosome arm-level copy number alterations (CNAs) in the peripheral blood samples that were taken at the time of their primary cancer diagnosis and before exposure to therapy. These CNAs were the same CNAs seen in t-MN bone marrow samples and affected the same allele, suggesting the same clonal origin. These data suggest that not only somatic point mutations but also chromosome arm-level CNAs are detectable as CHIP and preexist before patients' exposure to chemotherapy and/or radiation therapy. These data suggest that screening of both somatic point mutations and CNAs might allow more complete ascertainment of CHIP.

Immunotherapy targeting T cells is increasingly utilized to treat solid tumors including non-small cell lung cancer (NSCLC). This requires a better understanding of the T cells in the lungs of patients with NSCLC. Here, we report T cell repertoire analysis in a cohort of 236 early-stage NSCLC patients. T cell repertoire attributes are associated with clinicopathologic features, mutational and immune landscape. A considerable proportion of the most prevalent T cells in tumors are also prevalent in the uninvolved tumor-adjacent lungs and appear specific to shared background mutations or viral infections. Patients with higher T cell repertoire homology between the tumor and uninvolved tumor-adjacent lung, suggesting a less tumor-focused T cell response, exhibit inferior survival. These findings indicate that a concise understanding of antigens and T cells in NSCLC is needed to improve therapeutic efficacy and reduce toxicity with immunotherapy, particularly adoptive T cell therapy., Relevant features of T cell repertoire in human cancer remain to be delineated. Here the authors show, by TCR sequencing in a large cohort of lung cancer patients, that while a majority of T cell clones are shared between tumor and adjacent lung tissue, less frequent tumor-unique T cell clones correlate with worse prognosis.

Late relapse, defined as relapse arising after at least 5 years of remission, is rare and occurs in 1–3% of patients with acute myeloid leukemia (AML). The underlying mechanisms of late relapse remain poorly understood. We identified patients with AML who achieved remission with standard induction chemotherapy and relapsed after at least five years of remission (n = 15). Whole exome sequencing was performed in available bone marrow samples obtained at diagnosis (n = 10), remission (n = 6), and first relapse (n = 10). A total of 41 driver mutations were identified, of which 11 were primary tumor-specific, 17 relapse-specific, and 13 shared (detected both in primary and relapsed tumor samples). We demonstrated that 12 of 13 shared mutations were in epigenetic modifier and spliceosome genes. Longitudinal genomic characterization revealed that in eight of 10 patients the founder leukemic clone persisted after chemotherapy and established the basis of relapse years later. Understanding the mechanisms of such quiescence in leukemic cells may help designing future strategies aimed at increasing remission duration in patients with AML.

Introduction: Allogeneic hematopoietic stem cell transplantation (ASCT) remains the only curative option for patients with relapsed/refractory (R/R) AML, achieved via the grafted T cells versus leukemia effect. Since ASCT is not viable option to many AML patients, our group investigated (NCT02397720) whether T cells can be harnessed to eradicate R/R AML by combining azacitidine, a hypomethylating agent, and nivolumab, a PD-1 blocker. The tumor microenvironment (TME) factors impacting response and resistance to PD-1 blockade-based treatment in AML is unknown. Methods: We performed single cell RNA sequencing (scRNAseq) of 13,633 healthy bone marrow (BM) donor, and 113,394 BM cells, paired with >30,000 single cell T cell receptor (scTCR) repertoires, from 22 aspirates (8 pre- and 14 post- treatment) from 8 R/R AML patients (median age 73 years) treated with azacitidine/nivolumab. 3/8 patients were responders, while 2/8 and 3/8 had stable disease, and no response, respectively. Results: We identified marked variation in the T cell components across AML patients at pre- and post- treatment, demonstrating significant dynamic changes in CD4, CD8 and non-classical T cells populations, including mucosal associated invariant T (MAIT) cells. Among CD8 cells, we identified a unique GZMK-enriched population that was higher at pretreatment in responders compared to non-responders. Pseudotemporal trajectory analysis revealed a continuum of CD8 cell states that is intermediated by the less exhausted, GZMK-enriched CD8 population. We similarly identified GZMK to discriminate between 2 MAIT populations. Further characterization of GZMK-enriched cells revealed increased expression of the stem-like T cell transcription factor TCF7, and the T cell memory transcription factor EOMES. Pathway enrichment of the 33 overlapping genes in the GZMK-enriched CD8 and MAIT versus cytotoxic T lymphocyte (CD8 CTL) signatures demonstrated highest enrichment for pathways involved in leukocyte differentiation, calcium signaling, and cytokine production. scTCR clonotype assessment revealed more shared clonotypes with the terminally effector CD8 CTL cells following PD-1 blockade. Following treatment, novel clones represented 38.7% (39/101) of total clones, followed by contracted clones (32.6%) and expanded (28.7%) clones. However, 76.9% and 72.4% of novel and expanded clones were contributed by the responders. On the other hand, non-responders contributed only 5% and 3.4% of the novel and expanded clones, respectively. Conclusion: We identified a CD8 continuum in BMs of patients with AML. The response to combined azacitidine/nivolumab is driven by emergence of novel clones and expansion of prior clones demonstrating T cell plasticity and adaptability. Our results demonstrate that the subverted T cells can be reinvigorated via PD-1 blockade and elicit responses in AML and warrants further functional characterization of GZMK expressing lymphocytes in mediating antileukemic responses. This abstract is also being presented as PO059. Citation Format: Hussein A. Abbas, Dapeng Hao, Katarzyna Tomczak, Praveen Barrodia, Jin Seon Im, Patrick K. Reville, Gheath Al-Atrash, Jing Ning, Maomao Ding, Jairo T. Mathews, Latasha Little, Jianhua Zhang, Sreyashi Basu, Marina Konopleva, Guillermo Garcia-Manero, Michael R. Green, Padmanee Sharma, James P. Allison, Steven M. Kornblau, Kunal Rai, Linghua Wang, Naval Daver, Andrew Futreal. Single-cell profiling of acute myeloid leukemia (AML) and its microenvironment reveals a CD8 continuum and adaptable T cell plasticity in response to PD-1 blockade-based therapy [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2020 Oct 19-20. Philadelphia (PA): AACR; Cancer Immunol Res 2021;9(2 Suppl):Abstract nr PR003.

Background Allogeneic hematopoietic stem cell transplantation (HSCT) is curative for many patients with adverse-risk acute myeloid leukemia (AML). This is principally mediated by donor T-cells through the graft-versus-leukemia (GVL) effect. Therefore, we sought to characterize the T cell repertoire in AML before and after HSCT and compare those who achieve durable remission to those with relapse. Methods We identified 77 bone marrow biopsy samples from 33 patients with AML who were paired pre- and post-HSCT (19 patients who relapsed and 14 in remission for > 2 years as of last follow-up). We performed immunosequencing of the TCRβ repertoire (Adaptive Biotechnologies). DNA was amplified in a bias-controlled multiplex PCR, resulting in amplification of rearranged VDJ segments, followed by high-throughput sequencing. Changes in the TCR repertoire were characterized with the following metrics: (1) clonality (range: 0–1; values closer to 1 indicate a more oligoclonal repertoire); (2) richness (higher numbers indicating a more diverse repertoire with more unique rearrangements); (3) T cell density (range: 0–1; values closer to 1 indicate a higher proportion of T cells in the sample). Results The median age of patients was 52 years (range: 19–70); 43% and 37% of patients had a matched, related donor in the remission and relapse cohorts, respectively. Richness was greater in the pre-HSCT samples for patients who relapsed (13750 vs 3982, P = 0.001) compared to post-HSCT samples (3319 vs 2920, P = 0.1). Patients who relapsed had a greater productive clonality compared to remission patients in post-HSCT (0.15 vs 0.05, P = 0.06) samples, but were similar in pre-HSCT (0.07 vs 0.02, P = 0.1) samples. Patients who relapsed had a higher T cell density than those who achieved remission in both pre- (0.36 vs 0.13, P = 0.01) and post-HSCT (0.14 vs 0.11, P = 0.01) samples. Conclusion A more diverse baseline host TCR response was associated with relapse after HSCT. This may reflect host-intrinsic immune factors that affect transplant outcomes. To adequately capture how the GVL effect influences outcomes, studies incorporating TCR sequencing of the HSCT donor samples are ongoing.

Mixed phenotype acute leukemia (MPAL) is a rare subtype of acute leukemia characterized by leukemic blasts presenting myeloid and lymphoid markers. Here we report data from integrated genomic analysis on 31 MPAL samples and compare molecular profiling with that from acute myeloid leukemia (AML), B cell acute lymphoblastic leukemia (B-ALL), and T cell acute lymphoblastic leukemia (T-ALL). Consistent with the mixed immunophenotype, both AML-type and ALL-type mutations are detected in MPAL. Myeloid-B and myeloid-T MPAL show distinct mutation and methylation signatures that are associated with differences in lineage-commitment gene expressions. Genome-wide methylation comparison among MPAL, AML, B-ALL, and T-ALL sub-classifies MPAL into AML-type and ALL-type MPAL, which is associated with better clinical response when lineage-matched therapy is given. These results elucidate the genetic and epigenetic heterogeneity of MPAL and its genetic distinction from AML, B-ALL, and T-ALL and further provide proof of concept for a molecularly guided precision therapy approach in MPAL., Mixed phenotype acute leukemia (MPAL) is a rare leukemia that presents both myeloid and lymphoid markers on blasts. Here the authors perform genomic analysis to show MPAL involves genetic and epigenetic heterogeneity and is genetically distinct from AML, B-ALL, and T-ALL.

Purpose The aim of the current study was to determine whether the degree of mutation clearance at remission predicts the risk of relapse in patients with acute myeloid leukemia (AML). Patients and Methods One hundred thirty-one previously untreated patients with AML who received intensive induction chemotherapy and attained morphologic complete remission (CR) at day 30 were studied. Pretreatment and CR bone marrow were analyzed using targeted capture DNA sequencing. We analyzed the association between mutation clearance (MC) on the basis of variant allele frequency (VAF) at CR (MC2.5: if the VAF of residual mutations was < 2.5%; MC1.0: if the VAF was < 1%; and complete MC [CMC]: if no detectable residual mutations) and event-free survival, overall survival (OS), and cumulative incidence of relapse (CIR). Results MC1.0 and CMC were associated with significantly better OS (2-year OS: 75% v 61% in MC1.0 v non-MC1.0; P = .0465; 2-year OS: 77% v 60% in CMC v non-CMC; P = .0303) and lower CIR (2-year CIR: 26% v 46% in MC1.0 v non-MC 1.0; P = .0349; 2 year-CIR: 24% v 46% in CMC v non-CMC; P = .03), whereas there was no significant difference in any of the above outcomes by MC2.5. Multivariable analysis adjusting for age, cytogenetic risk, allogeneic stem-cell transplantation, and flow cytometry–based minimal residual disease revealed that patients with CMC had significantly better event-free survival (hazard ratio [HR], 0.43; P = .0083), OS (HR, 0.47; P = .04), and CIR (HR, 0.27; P < .001) than did patients without CMC. These prognostic associations were stronger when preleukemic mutations, such as DNMT3A, TET2, and ASXL1, were removed from the analysis. Conclusion Clearance of somatic mutation at CR, particularly in nonpreleukemic genes, was associated with significantly better survival and less risk of relapse. Somatic mutations in nonpreleukemic genes may function as a molecular minimal residual disease marker in AML.

Appreciation for genomic and immune heterogeneity in cancer has grown though the relationship of these factors to treatment response has not been thoroughly elucidated. To better understand this, we studied a large cohort of melanoma patients treated with targeted therapy or immune checkpoint blockade (n = 60). Heterogeneity in therapeutic responses via radiologic assessment was observed in the majority of patients. Synchronous melanoma metastases were analyzed via deep genomic and immune profiling, and revealed substantial genomic and immune heterogeneity in all patients studied, with considerable diversity in T cell frequency, and few shared T cell clones (, Melanoma: Tumor differences within a patient may explain heterogeneous responses Patients with metastatic melanoma display molecular and immune differences across tumor sites associated with differential drug responses. A team led by Jennifer Wargo from the University of Texas MD Anderson Cancer Center, Houston, USA, studied the radiological responses of 60 patients with metastatic melanoma, half of whom received targeted drug therapy and half of whom received an immune checkpoint inhibitor. The majority (83%) showed differences in responses across metastases. The group then profiled tumors in a subset, and found molecular and immune heterogeneity in different tumors within the same patient. Heterogeneity in mutational and immune profiles within tumors from individual patients could explain differences in treatment response. Knowing this, the authors emphasize the importance of acquiring biopsies from more than one tumor site in order to best tailor therapies to the features of metastatic cancer.

Cancers are composed of populations of cells with distinct molecular and phenotypic features, a phenomenon termed intratumor heterogeneity (ITH). ITH in lung cancers has not been well studied. We applied multiregion whole-exome sequencing (WES) on 11 localized lung adenocarcinomas. All tumors showed clear evidence of ITH. On average, 76% of all mutations and 20 out of 21 known cancer gene mutations were identified in all regions of individual tumors, which suggested that single-region sequencing may be adequate to identify the majority of known cancer gene mutations in localized lung adenocarcinomas. With a median follow-up of 21 months after surgery, three patients have relapsed, and all three patients had significantly larger fractions of subclonal mutations in their primary tumors than patients without relapse. These data indicate that a larger subclonal mutation fraction may be associated with increased likelihood of postsurgical relapse in patients with localized lung adenocarcinomas.

Background: Therapy-related myeloid neoplasms (t-MNs) occur after exposures to chemotherapies and/or radiation therapies (CRT). However, true etiological association between CRT exposures and t-MN development is not clearly understood. We and others have recently revealed that selection of preleukemic mutant clones (TP53, PPM1D and others) under the selective pressure of CRT might play an important role in t-MN development (Wong et al. Nature 2014, Takahashi et al. Lancet Oncology 2017, Hsu et al. Cell Stem Cell 2018). For instance, PPM1D-mutated clone exhibited preferential expansion over wild-type clone only when exposed to cisplatin or etoposide, likely due to reduced apoptosis of mutant cells upon exposure to DNA damaging agents. In support of these findings, PPM1D-mutated t-MN patients had significantly frequent prior exposures to platinum and etoposide (Hsu et al. Cell Stem Cell 2018). These data led us to systematically analyze correlations between t-MN genotypes and prior exposures. Methods: We studied 471 patients (pts) with t-MNs (t-AML N = 188 and t-MDS N = 283) whose bone marrow or peripheral blood samples were analyzed by targeted next-generation sequencing. We performed extensive chart review to obtain history of prior exposures and analyzed correlation between CRT exposures and t-MN genotype. Results: Median age at diagnosis was 68 years (IQR:17-91) and the median latency from CRT exposures was 6 years (IQR: 0.1-45). (Table 1). The most frequent prior malignancies were breast cancer (20.8%), non-hodgkin's lymphoma (NHL) (20.3%) and prostate cancer (11.6%). Pts with NHL and multiple myeloma (MM) had significantly increased likelihood of developing t-MDS than t-AML (t-MDS vs. t-AML, 73.4% vs. 28.1%, P = .008 for NHL, 94.2% vs. 5.7%, P = < 0.001 for MM), whereas breast cancer pts developed t-AML more frequently than t-MDS (t-MDS vs. t-AML 43.8% vs. 56.1%, P < 0.001). Two hundred and eight (44.1%) pts had exposures to chemotherapy alone, 185 pts (39.2%) to chemo-radiotherapy, and 78 pts (16.5%) to radiotherapy alone. Eighty (16.9%) pts underwent autologous hematologic stem-cell transplant (auto-SCT). At least 1 driver mutation was detected in 392/471 (83.2%) t-MN pts and TP53 (36.3%), PPM1D (19.4%), TET2 (14.9%) and DNMT3A (14.6%%) were among the most frequently detected mutations. TP53 mutations were significantly more frequent in t-MDS than t-AML (43.8% vs. 25%; P=.000), while FLT3, NPM1, IDH1/2 mutations were more frequent in t-AML (14.9%, 7.4%, 9% respectively) than t-MDS (1.8%, 0%, 5.3%, 3.5% respectively) Correlation analysis of genotype and exposures confirmed previously known associations such as PPM1D mutations and platinum (log odds ratio [OR] 1.1, P = 0.01, false discovery rate [FDR] = 0.10), 11q23 rearrangement and topoisomerase II inhibitors (log OR 0.40, FDR = 0.71), and chromosome 7 abnormalities and alkylating agents (log OR 0.48, FDR =0.08). We found significant associations between TP53 mutations and immunomodulatory imide drugs (IMiDs, log OR = 0.98, , FDR =0.03); negative associations of alkylating agents with TET2 (log OR -0.93, FDR= 0.01) and NPM1 (log OR -3.31, FDR=0.003); and SRSF2 mutations with auto-SCT (log OR -2.24, FDR=0.03) and topoisomerase II inhibitors (log OR -2.42, FDR= 0.02). (Figure 1 Univariate analysis) We adjusted for the confounding effect from multiple exposures by multivariate logistic regression analysis (MLR) with modelbuilding by stepwise AIC or BIC selection criteria. MLR revealed a significant association of TP53 mutations with IMiDs (log OR = 1.07, P = 0.001), platinum (log OR = 0.61, P = 0.02), and vinca alkaloid (log OR = 0.62, P = 0.01). As well as a significant association between EZH2 mutations and vinca alkaloid (Log OR = 1.68, P = 0.009, Table 2). Conclusions: Comprehensive analysis of genotype and prior exposures in a large cohort of t-MNs revealed previously unknown associations, such as EZH2 mutations and vinka alkaloids, and TP53 mutations and IMiDs. The connection between TP53 mutations and IMiDs is consistent with the clonal selection of TP53 mutant clone with lenalidomide in 5q- syndrome (Jädersten et al. JCO 2011). These data provide a rationale for studying the mechanism of clonal selection of TP53-mutant or EZH2-mutant cells under IMiDs or vinka alkaloids. Further, this knowledge might be clinically useful for cancer pts with specific clonal hematopoiesis in reducing the risk of t-MNs by avoiding exposures to certain drugs. Disclosures DiNardo: notable labs: Membership on an entity's Board of Directors or advisory committees; agios: Consultancy, Honoraria; jazz: Honoraria; daiichi sankyo: Honoraria; abbvie: Consultancy, Honoraria; celgene: Consultancy, Honoraria; medimmune: Honoraria; syros: Honoraria. Konopleva:Eli Lilly: Research Funding; Ascentage: Research Funding; Forty-Seven: Consultancy, Honoraria; Genentech: Honoraria, Research Funding; Agios: Research Funding; Calithera: Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; F. Hoffman La-Roche: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria; Cellectis: Research Funding; Astra Zeneca: Research Funding; Stemline Therapeutics: Consultancy, Honoraria, Research Funding; Ablynx: Research Funding; Reata Pharmaceuticals: Equity Ownership, Patents & Royalties; Kisoji: Consultancy, Honoraria. Borthakur:Oncoceutics: Research Funding; Novartis: Research Funding; Argenx: Membership on an entity's Board of Directors or advisory committees; NKarta: Consultancy; FTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Arvinas: Research Funding; Eli Lilly and Co.: Research Funding; GSK: Research Funding; Janssen: Research Funding; Incyte: Research Funding; AbbVie: Research Funding; Merck: Research Funding; Cantargia AB: Research Funding; PTC Therapeutics: Consultancy; Tetralogic Pharmaceuticals: Research Funding; Eisai: Research Funding; BioTheryX: Membership on an entity's Board of Directors or advisory committees; Bayer Healthcare AG: Research Funding; Polaris: Research Funding; BioLine Rx: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; Oncoceutics, Inc.: Research Funding; Agensys: Research Funding; Strategia Therapeutics: Research Funding; Xbiotech USA: Research Funding; AstraZeneca: Research Funding; Cyclacel: Research Funding. Kantarjian:Pfizer: Honoraria, Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Immunogen: Research Funding; Jazz Pharma: Research Funding; Amgen: Honoraria, Research Funding; Ariad: Research Funding; Astex: Research Funding; BMS: Research Funding; Agios: Honoraria, Research Funding; Novartis: Research Funding; Takeda: Honoraria; AbbVie: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Cyclacel: Research Funding. Garcia-Manero:Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Takahashi:Symbio Pharmaceuticals: Consultancy.

// Kelly Quek 1, 2, * , Jun Li 2, * , Marcos Estecio 3 , Jiexin Zhang 4 , Junya Fujimoto 5 , Emily Roarty 2 , Latasha Little 2 , Chi-Wan Chow 5 , Xingzhi Song 2 , Carmen Behrens 5 , Taiping Chen 4 , William N. William 1 , Stephen Swisher 6 , John Heymach 1, 7 , Ignacio Wistuba 5 , Jianhua Zhang 2 , Andrew Futreal 2 , Jianjun Zhang 1, 2 1 Department of Thoracic/Head and Neck Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 2 Department of Genomic Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 3 Department of Epigenetics and Molecular Carcinogenesis, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 4 Department of Bioinformatics and Computational Biology, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 5 Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 6 Department of Thoracic Surgery, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA 7 Department of Cancer Biology, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030, USA * Co-first authors Correspondence to: Jianjun Zhang, email: JZhang20@mdanderson.org Andrew Futreal, email: AFutreal@mdanderson.org Jianhua Zhang, email: JZhang22@mdanderson.org Keywords: intra-tumor heterogeneity, non-small cell lung cancer, DNA methylation Received: November 30, 2016 Accepted: January 27, 2017 Published: February 28, 2017 ABSTRACT Cancers are composed of cells with distinct molecular and phenotypic features within a given tumor, a phenomenon termed intratumor heterogeneity (ITH). Previously, we have demonstrated genomic ITH in localized lung adenocarcinomas; however, the nature of methylation ITH in lung cancers has not been well investigated. In this study, we generated methylation profiles of 48 spatially separated tumor regions from 11 localized lung adenocarcinomas and their matched normal lung tissues using Illumina Infinium Human Methylation 450K BeadChip array. We observed methylation ITH within the same tumors, but to a much less extent compared to inter-individual heterogeneity. On average, 25% of all differentially methylated probes compared to matched normal lung tissues were shared by all regions from the same tumors. This is in contrast to somatic mutations, of which approximately 77% were shared events amongst all regions of individual tumors, suggesting that while the majority of somatic mutations were early clonal events, the tumor-specific DNA methylation might be associated with later branched evolution of these 11 tumors. Furthermore, our data showed that a higher extent of DNA methylation ITH was associated with larger tumor size (average Euclidean distance of 35.64 (> 3cm, median size) versus 27.24 (

Background: Our knowledge in early lung carcinogenesis is rudimentary. Atypical adenomatous hyperplasia (AAH) is the only preneoplasia type that has been recognized by histopathology and It has been postulated that AAH can progress to adenocarcinoma in situ (AIS), to minimally invasive adenocarcinoma (MIA), and finally to invasive adenocarcinoma (ADC). However, the definition of these lesions remains controversial due to limited supporting molecular evidence. Carcinogenesis results from accumulation of multiple genetic and epigenetic events, with selection for events conferring phenotypic advantage. Immune surveillance, particularly anti-tumor response from T cells is an important host protection process to inhibit carcinogenesis. However, the T cell repertoire landscape and its evolution during lung carcinogenesis have not been well defined. Methods: We performed T cell receptor (TCR) sequencing on multiple spatially separated regions (2-6 regions per lesion) from 23 AAH, 26 AIS, 54 MIA and 14 ADC lesions and paired histologically normal lung tissues from 52 patients clinically presenting with indeterminate pulmonary nodules. Forty-one patients had multifocal diseases and 23 patients carried more than one type of pathology. Results: Compared to pre-/micro-invasive neoplastic lesions (AAH, AIS, MIA) or invasive ADC, normal lung tissues demonstrated significantly less T cell infiltration (p Citation Format: Runzhe Chen, Junya Fujimoto, Alexandre Reuben, Lisha Ying, Xin Hu, Chi-Wan Chow, Jaime Rodriguez Canales, Wenyong Sun, Jinlin Hu, Edwin R. Parra Cuentas, Carmen Behrens, Chang-Jiun Wu, Latasha Little, Curtis Gumbs, Diana Wiesnoski, Guangchun Han, Won-Chul Lee, Paul Scheet, Humam Kadara, Mara Antonoff, Ara A. Vaporciyan, Stephen Swisher, Jianhua Zhang, John Heymach, Waun Ki Hong, Ignacio Wistuba, Andrew Futreal, Dan Su, Jianjun Zhang. T cell repertoire evolution from the normal lung to invasive lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4686.

8570 Background: Histopathology, largely determined by morphology, plays a critical role in choosing appropriate treatment for lung cancer. The understanding of molecular determination of lung cancer histology is rudimentary. Our recently published data (Zhang, Science, 2014 and Liu, Nature Communications, 2016) have demonstrated that within the same patients with identical genetic background and identical exposure, tumor regions with different morphologic appearances may have very similar genomic profiles while tumors with the same morphology may have distinct genomic landscape. Methods: We collected 12 lung cancers of mixing histology with 2 to 4 histologic components within each tumor. In total, 26 tumor regions including 9 adenocarcinomas, 6 large-cell neuroendocrine carcinoma, 6 small cell carcinomas and 4 squamous cell carcinomas and one poorly differentiated lung carcinoma were microdissected and subjected to whole exome sequencing. Results: A substantial number of identical mutations were shared between different histologic components within the same tumor in all 12 patients. However, the proportion of shared mutations varies in different patients ranging from as little as 4% to as much as 99%. Mutation spectrum is also similar between different histologic components within the same tumors suggesting similar mutational process in place. Identical canonical cancer gene mutations including TP53, KRAS, PIK3CA, SOS1 and STK11 are generally shared between different histologic components within the same tumors. Canonical mutations in FBXW7 and MTHFR were detected in squamous component, but not small-cell component in one patient. Conclusions: Different histologic components of lung cancers of mixing histology are likely derived from the same progenitor cells, but the molecular timing of branch separation of subclones giving rise to different histologic components varies in different tumors. Although genomic aberrations may play a role in a subset of tumors, histologic features may not be determined at genomic level for most lung cancers. Gene expression and methylation analyses from these tumors are underway.

8545 Background: Our previous study has suggested that complex genomic intratumor heterogeneity (gITH) was associated with an increased risk of relapse in patients with localized lung adenocarcinomas (LUAD). We have launched a study to investigate molecular and immune profile ITH of Stage IA NSCLC (a patient population with no optimal biomarker to guide postsurgical therapy) to understand the molecular evolution during early carcinogenesis and to identify biomarkers for early detection and intervention. Here, we report the preliminary analysis on gITH. Methods: We performed multiregion whole exome sequencing on 30 Stage IA LUAD and matched normal lung tissue to a median sequencing depth of 494x. 15 patients have relapsed within 3 years post-surgery (cases) and 15 patients have not relapsed with a minimum of 5-year postsurgical follow up (controls). Cases and controls are 1:1 matched for the key prognostic factors including tumor size, smoking status, age, gender, ethnicity and lobectomy or wedge resection. Shannon diversity index (SDI) was used to quantify ITH in each individual tumor. Kaplan-Meier method was used to evaluate the relationship between ITH and disease-free survival (DFS) as well as overall survival (OS). Results: Consistent with our previous study, 108 of 110 (98.2%) canonical cancer gene mutations were shared events by all regions of individual tumor. Compared to non-relapsed controls, tumors from relapsed cases demonstrated significantly higher degree of ITH (SDI of 1.78 in cases vs 1.58 for controls, p = 0.016). Higher degree of gITH was associated with shorter DFS (p = 0.008) and shorter OS (p = 0.0153). Significantly higher mutation burden was observed in tumors from relapsed patients (median of 10.86 mutations per MB in cases vs 7.45 mutations per MB in controls, p = 0.03). Analysis of gITH on a larger cohort and on predicted neoantigen, methylation, gene expression and immune profiles are in progress. Conclusions: Majority of cancer gene mutations are clonal events during early carcinogenesis of LUAD. Complex gITH may be associated with more aggressive biology and inferior clinical outcome in patients with Stage IA LUAD, therefore, may be evaluated as a potential biomarker.

8532 Background: Neoadjuvant immune checkpoint inhibitors (ICIs) are being explored in resectable non-small cell lung cancer (NSCLC). Here, we studied the composition and changes in the T cell repertoire in a cohort of NSCLC patients (n = 44) treated with neoadjuvant nivolumab (N) alone or in combination with ipilimumab (NI) followed by surgery (NEOSTAR trial). Methods: Sequencing of the variable CDR3β chain of the T cell receptor (TCR) involved in antigen binding was performed in pre-treatment and surgical tumors, matched adjacent uninvolved lung specimens, as well as paired longitudinal blood at baseline, prior to each dose of therapy, prior to surgery, and within 8 weeks post-surgery. T cell repertoire density, diversity, and clonality (reactivity) were evaluated in addition to tumor PD-L1 expression pre- and post-neoadjuvant treatment. Results: Median T cell diversity in the blood post-therapy was 3.3-fold higher in NI- compared to N-treated patients (40,993 [NI, n = 3] vs 12,177 [N, n = 4] unique TCR rearrangements, n.s.). However, median T cell clonality in the blood was 3.5-fold higher in N- than NI-treated patients post-therapy (0.093 [N, n = 4] vs 0.026 [NI, n = 3], n.s.). Median clonality was 3.8-fold higher in the tumor post-therapy in patients receiving NI than in those receiving N (0.076 [NI, n = 7] vs 0.020 [N, n = 5], n.s.). Interestingly, diversity in the blood at baseline and in the tumor post-therapy were positively correlated ([n = 7], r = 0.82; p = 0.023), which may reflect an influx of cells from the periphery following ICIs. Importantly, higher baseline T cell clonality in the blood was associated with a lower % of viable tumor at time of surgery in both treatment arms ([n = 7], r = -0.77; p = 0.04). Conclusions: Our study is the first to assess the TCR repertoire in NSCLC patients treated with combination neoadjuvant NI and highlights potential mechanistic differences compared to N alone. Neoadjuvant NI is associated with higher clonality in tumors and lower clonality in blood post-therapy, suggesting increased T cell trafficking into the tumor. Finally, lower pre-treatment clonality in the periphery was correlated with higher % viable tumor post-neoadjuvant ICIs. Clinical trial information: NCT03158129.