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Intratumoral heterogeneity (ITH) can promote cancer progression and treatment failure, but the complexity of the regulatory programs and contextual factors involved complicates its study. To understand the specific contribution of ITH to immune checkpoint blockade (ICB) response, we generated single cell-derived clonal sublines from an ICB-sensitive and genetically and phenotypically heterogeneous mouse melanoma model, M4. Genomic and single cell transcriptomic analyses uncovered the diversity of the sublines and evidenced their plasticity. Moreover, a wide range of tumor growth kinetics were observedin vivo, in part associated with mutational profiles and dependent on T cell-response. Further inquiry into melanoma differentiation states and tumor microenvironment (TME) subtypes of untreated tumors from the clonal sublines demonstrated correlations between highly inflamed and differentiated phenotypes with the response to anti-CTLA-4 treatment. Our results demonstrate that M4 sublines generate intratumoral heterogeneity at both levels of intrinsic differentiation status and extrinsic TME profiles, thereby impacting tumor evolution during therapeutic treatment. These clonal sublines proved to be a valuable resource to study the complex determinants of response to ICB, and specifically the role of melanoma plasticity in immune evasion mechanisms.

Supplementary Figure 7 - PDF file 111K, Characterization of myeloid cells in lung, tumor, spleen, and lymph nodes

Supplementary Figure 1 - PDF file 183K, Overproduction of immature myeloid cells in both tumor bearing mice and cancer patients, flow cytometry analysis and sorting

Supplementary Figure 4 - PDF file 129K, Validation of over expression of TGFbeta1, IL-4, IL10, as well as Arginase1 and iNOS in Tgfbr2

Maximum Productive frequency and clonality did not change significantly in blood or tumors post-anti-PD-L1 treatment.

The top differentially expressed genes from Figure 3

Supplementary Figure 3 - PDF file 76K, IFN-gamma production by T cells and its effect on tumor growth in Tgfbr2MyeKOand Tgfbr2flox/flox control mice

Supplementary Figure 8 - PDF file 84K, Immune cell profiling and IFN-gamma production in CD8 T cells in tumor tissues between Tgfbr2flox/flox and Tgfbr2MyeKO mice bearing 4T1 tumors

TCR repertoire of control PBS-treated tumors indicates rich and even clone distribution.

Supplementary Figure 9 - PDF file 150K, Gating strategy, sorting efficiency, and TbetaRII expression in myeloid cell subsets

Only a subset of patients responds to immune checkpoint blockade (ICB) in melanoma. A preclinical model recapitulating the clinical activity of ICB would provide a valuable platform for mechanistic studies. We used melanoma tumors arising from an Hgftg;Cdk4R24C/R24C genetically engineered mouse (GEM) model to evaluate the efficacy of an anti–mouse PD-L1 antibody similar to the anti–human PD-L1 antibodies durvalumab and atezolizumab. Consistent with clinical observations for ICB in melanoma, anti–PD-L1 treatment elicited complete and durable response in a subset of melanoma-bearing mice. We also observed tumor growth delay or regression followed by recurrence. For early treatment assessment, we analyzed gene expression profiles, T-cell infiltration, and T-cell receptor (TCR) signatures in regressing tumors compared with tumors exhibiting no response to anti–PD-L1 treatment. We found that CD8+ T-cell tumor infiltration corresponded to response to treatment, and that anti–PD-L1 gene signature response indicated an increase in antigen processing and presentation, cytokine–cytokine receptor interaction, and natural killer cell–mediated cytotoxicity. TCR sequence data suggest that an anti–PD-L1–mediated melanoma regression response requires not only an expansion of the TCR repertoire that is unique to individual mice, but also tumor access to the appropriate TCRs. Thus, this melanoma model recapitulated the variable response to ICB observed in patients and exhibited biomarkers that differentiate between early response and resistance to treatment, providing a valuable platform for prediction of successful immunotherapy.Implications:Our melanoma model recapitulates the variable response to anti–PD-L1 observed in patients and exhibits biomarkers that characterize early antibody response, including expansion of the TCR repertoire.

Additional representative anti-PD-L1 treatment effect on tumor growth in melanoma bearing mice (Study 3).

TGF-β is overexpressed in advanced human cancers. It correlates with metastasis and poor prognosis. However, TGF-β functions as both a tumor suppressor and a tumor promoter. Here, we report for the first time that genetic deletion of Tgfbr2 specifically in myeloid cells (Tgfbr2MyeKO) significantly inhibited tumor metastasis. Reconstitution of tumor-bearing mice with Tgfbr2MyeKO bone marrow recapitulated the inhibited metastasis phenotype. This effect is mediated through decreased production of type II cytokines, TGF-β1, arginase 1, and inducible nitric oxide synthase, which promoted IFN-γ production and improved systemic immunity. Depletion of CD8 T cells diminished the metastasis defect in the Tgfbr2MyeKO mice. Consistent with animal studies, myeloid cells from patients with advanced-stage cancer showed increased TGF-β receptor II expression. Our studies show that myeloid-specific TGF-β signaling is an essential component of the metastasis-promoting puzzle of TGF-β. This is in contrast to the previously reported tumor-suppressing phenotypes in fibroblasts, epithelial cells, and T cells.Significance: Our study identifies myeloid-specific TGF-β signaling as a critical mediator in tumor metastasis, distinct from the tumor-suppressive effect of TGF-β signaling in epithelial cells, fibroblasts, and T cells. We further provide mechanistic insight into host antitumor immunity and suggest a cell type–specific cancer-targeting strategy. Cancer Discov; 3(8); 936–51. ©2013 AACR.See related commentary by Souza-Fonseca-Guimaraes and Smyth, p. 846This article is highlighted in the In This Issue feature, p. 826

Supplementary Figure 5 - PDF file 382K, Analysis of percentage or number in B cells, T cells, or myeloid cell subsets in the lungs between Tgfbr2MyeKO and control littermates under normal or tumor conditions

Analysis of early tumor response to anti-PD-L1 treatment in Hgftg;Cdk4R24C/R24C melanoma bearing mice (Study 2).

PD-L1 and FOXP3 expression in treated tumors.

Despite breakthroughs in cancer immunotherapy, most tumor-reactive T cells cannot persist in solid tumors due to an immunosuppressive environment. We developed Tres (tumor-resilient T cell, https://resilience.ccr.cancer.gov/), a computational model utilizing single-cell transcriptomic data to identify signatures of T cells that are resilient to immunosuppressive signals, such as transforming growth factor-β1, tumor necrosis factor-related apoptosis-inducing ligand and prostaglandin E2. Tres reliably predicts clinical responses to immunotherapy in melanoma, lung cancer, triple-negative breast cancer and B cell malignancies using bulk T cell transcriptomic data from pre-treatment tumors from patients who received immune-checkpoint inhibitors (n = 38), infusion products for chimeric antigen receptor T cell therapies (n = 34) and pre-manufacture samples for chimeric antigen receptor T cell or tumor-infiltrating lymphocyte therapies (n = 84). Further, Tres identified FIBP, whose functions are largely unknown, as the top negative marker of tumor-resilient T cells across many solid tumor types. FIBP knockouts in murine and human donor CD8(+) T cells significantly enhanced T cell-mediated cancer killing in in vitro co-cultures. Further, Fibp knockout in murine T cells potentiated the in vivo efficacy of adoptive cell transfer in the B16 tumor model. Fibp knockout T cells exhibit reduced cholesterol metabolism, which inhibits effector T cell function. These results demonstrate the utility of Tres in identifying biomarkers of T cell effectiveness and potential therapeutic targets for immunotherapies in solid tumors.

The relationship between cancer and autoimmunity is complex. However, the incidence of solid tumors such as melanoma has increased significantly among patients with previous or newly diagnosed systemic autoimmune disease (AID). At the same time, immune checkpoint blockade (ICB) therapy of cancer induces de novo autoinflammation and exacerbates underlying AID, even without evident antitumor responses. Recently, systemic lupus erythematosus (SLE) activity was found to drive myeloid-derived suppressor cell (MDSC) formation in patients, a known barrier to healthy immune surveillance and successful cancer immunotherapy. Cross-talk between MDSCs and macrophages generally drives immune suppressive activity in the tumor microenvironment. However, it remains unclear how peripheral pregenerated MDSC under chronic inflammatory conditions modulates global macrophage immune functions and the impact it could have on existing tumors and underlying lupus nephritis. Here we show that pathogenic expansion of SLE-generated MDSCs by melanoma drives global macrophage polarization and simultaneously impacts the severity of lupus nephritis and tumor progression in SLE-prone mice. Molecular and functional data showed that MDSCs interact with autoimmune macrophages and inhibit cell surface expression of CD40 and the production of IL27. Moreover, low CD40/IL27 signaling in tumors correlated with high tumor-associated macrophage infiltration and ICB therapy resistance both in murine and human melanoma exhibiting active IFNγ signatures. These results suggest that preventing global macrophage reprogramming induced by MDSC-mediated inhibition of CD40/IL27 signaling provides a precision melanoma immunotherapy strategy, supporting an original and advantageous approach to treat solid tumors within established autoimmune landscapes.Significance:Myeloid-derived suppressor cells induce macrophage reprogramming by suppressing CD40/IL27 signaling to drive melanoma progression, simultaneously affecting underlying autoimmune disease and facilitating resistance to immunotherapy within preexisting autoimmune landscapes.

Supplementary Figure S4. MEKi/FAKi combination reduces B2905 syngeneic cells growth in allograft tumor models.

Purpose:Uveal melanoma is the most common eye cancer in adults. Approximately 50% of patients with uveal melanoma develop metastatic uveal melanoma (mUM) in the liver, even after successful treatment of the primary lesions. mUM is refractory to current chemo- and immune-therapies, and most mUM patients die within a year. Uveal melanoma is characterized by gain-of-function mutations in GNAQ/GNA11, encoding Gαq proteins. We have recently shown that the Gαq–oncogenic signaling circuitry involves a noncanonical pathway distinct from the classical activation of PLCβ and MEK–ERK. GNAQ promotes the activation of YAP1, a key oncogenic driver, through focal adhesion kinase (FAK), thereby identifying FAK as a druggable signaling hub downstream from GNAQ. However, targeted therapies often activate compensatory resistance mechanisms leading to cancer relapse and treatment failure.Experimental Design:We performed a kinome-wide CRISPR-Cas9 sgRNA screen to identify synthetic lethal gene interactions that can be exploited therapeutically. Candidate adaptive resistance mechanisms were investigated by cotargeting strategies in uveal melanoma and mUM in vitro and in vivo experimental systems.Results:sgRNAs targeting the PKC and MEK–ERK signaling pathways were significantly depleted after FAK inhibition, with ERK activation representing a predominant resistance mechanism. Pharmacologic inhibition of MEK and FAK showed remarkable synergistic growth-inhibitory effects in uveal melanoma cells and exerted cytotoxic effects, leading to tumor collapse in uveal melanoma xenograft and liver mUM models in vivo.Conclusions:Coupling the unique genetic landscape of uveal melanoma with the power of unbiased genetic screens, our studies reveal that FAK and MEK–ERK cotargeting may provide a new network-based precision therapeutic strategy for mUM treatment.See related commentary by Harbour, p. 2967

Supplementary figure S2. Isobologram analysis.

Supplementary figure S1. Synthetic lethality of FAK and ERK/MAPK pathway inhibition.

Supplementary data, including supplementary figures with figure legends below

Supplementary figure 3. MEKi/FAKi combination reduces UM cells growth in xenograft tumor models with limited toxicity.

Across cancers, tumor cells can resemble embryonic cell states that may allow them to metastasize and evade therapies. Melanoma is a cancer of the melanocyte that exhibits a wide range of transcriptional states characterized by alterations in embryonic melanocyte gene expression patterns. How these states and their functions are related to the embryonic precursors of melanocytes, the melanoblasts, is unknown. Here, we present the first high-resolution single-cell RNA-seq profiles of embryonic melanocytic lineages in mice. We discover a diverse array of transcriptional cell states in this lineage and confirm, for the first time at the single-cell level, that melanocytes arise from Schwann-cell precursors (SCPs), a highly plastic cell population, via a newly described intermediate mesenchymal-like state. Via novel computational strategies to map these developmental cell states to metastatic melanoma, we find that SCP-resembling tumors are associated with exclusion of the immune cells and non-response to immune checkpoint blockade. In contrast, a higher mesenchymal profile underlies immune dysfunction and resistance to BRAF-inhibition therapy. We also carry out the first time-resolved single-cell RNA-seq study of early melanoma metastatic colonization, demonstrating that melanoma cells activate a SCP program transiently during early metastatic colonization. Finally, we discover a hybrid lineage state that resembles multiple melanocytic lineages simultaneously and is enriched in melanoma cells during metastatic seeding and in therapy resistance. Our work reveals that the lineage-specific mechanisms underlie melanoma progression/evolution, including early metastatic colonization and therapeutic resistance.

Hepatocyte growth factor-overexpressing mice that harbor a deletion of the Ink4a/p16 locus (HP mice) form melanomas with low metastatic potential in response to UV irradiation. Here we report that these tumors become highly metastatic following hemizygous deletion of the Nme1 and Nme2 metastasis suppressor genes (HPN mice). Whole-genome sequencing of melanomas from HPN mice revealed a striking increase in lung metastatic activity that is associated with missense mutations in eight signature genes (Arhgap35, Atp8b4, Brca1, Ift172, Kif21b, Nckap5, Pcdha2, and Zfp869). RNA-seq analysis of transcriptomes from HP and HPN primary melanomas identified a 32-gene signature (HPN lung metastasis signature) for which decreased expression is strongly associated with lung metastatic potential. Analysis of transcriptome data from The Cancer Genome Atlas revealed expression profiles of these genes that predict improved survival of patients with cutaneous or uveal melanoma. Silencing of three representative HPN lung metastasis signature genes (ARRDC3, NYNRIN, RND3) in human melanoma cells resulted in increased invasive activity, consistent with roles for these genes as mediators of the metastasis suppressor function of NME1 and NME2. In conclusion, our studies have identified a family of genes that mediate suppression of melanoma lung metastasis, and which may serve as prognostic markers and/or therapeutic targets for clinical management of metastatic melanoma.

Cancer is a predominant disease across animals. We applied a comparative genomics approach to systematically characterize genes whose conservation levels correlate positively (PC) or negatively (NC) with cancer resistance estimates across 193 vertebrates. Pathway analysis reveals that NC genes are enriched for metabolic functions and PC genes in cell cycle regulation, DNA repair, and immune response, pointing to their corresponding roles in mediating cancer risk. We find that PC genes are less tolerant to loss-of-function (LoF) mutations, are enriched in cancer driver genes, and are associated with germline mutations that increase human cancer risk. Their relevance to cancer risk is further supported via the analysis of mouse functional genomics and cancer mortality of zoo mammals’ data. In sum, our study describes a cross-species genomic analysis pointing to candidate genes that may mediate human cancer risk.

Brain metastases (BrM) remain an intractable, deadly complication for advanced melanoma patients and efficient therapeutic strategies are desperately needed. The tumor microenvironment (TME) plays an important role in response to therapy. However, studies addressing the contribution of the TME to therapy efficacy for BrM are lacking, mostly due to limited access to human samples and scarcity of appropriate preclinical models. Here, we describe two novel isogenic immunocompetent BrM models generated by intracardiac injection of UV-induced mouse melanoma cell lines, representative of mutant-RAS human melanoma subtypes. We used these models to test immune checkpoint blockade (ICB) therapy and to interrogate the role of the TME in therapeutic efficacy. To evaluate response, we developed and applied a new machine-learning method to quantify metastatic burden. We investigated the TME by high-parametric flow cytometry and single-cell RNA sequencing (scRNA-seq). We showed that the models have distinct metastatic behaviors, with BR1 being mostly brain tropic and BR3 displaying widespread metastases. Notably, BR1 BrM were sensitive to ICB with a better response to anti-PD-L1/anti-CTLA-4 combination therapy as compared to monotherapies. In contrast, BR3 BrM were resistant to both mono- and combination therapies. Interestingly, we found that ICB efficacy on extracranial BR3 metastases is organ-dependent. Characterization of the BrM immune microenvironment before and after treatment revealed dramatic differences between the models. Untreated BR1 BrM showed significant recruitment of T cells, dendritic cells, and natural killer cells, while neutrophils were enriched in untreated ICB-resistant BR3 BrM. Moreover, we uncovered phenotypically distinct microglia populations exclusively present in ICB-sensitive BR1 BrM that positively correlated with T cell infiltration. Consistent with this finding, scRNA-seq showed upregulation of genes encoding for T cell-attracting chemokines and antigen presentation uniquely in the BR1-associated microglia. Post-treatment analysis of the brain TME highlighted beneficial changes induced by ICB in the responsive BR1 model, including increased recruitment of CD8 T cells with an activated phenotype, while a mild recruitment of exhausted T cells was observed in the resistant BR3 model. Altogether, our data emphasize the importance of interrogating the BrM TME to understand therapeutic response. Our unique BrM models, mirroring the diversity of ICB response observed in patients, provide a robust platform for the much-needed mechanistic studies to optimize BrM therapy. Deciphering the contribution of the newly identified BR1 BrM-associated microglia to ICB efficacy will be crucial to the identification of novel therapeutic targets. Citation Format: Amélie Lopès, Jessica Rappaport, Eva Pérez Guijarro, Quanyi Chen, Emily Wu, Isabella Church, April Huang, Jessica Bridge, Sung Chin, Cari Smith, Charli Gruen, Khiem C. Lam, Romina E. Araya, Antonella Sassano, Chi-Ping Day, Glenn Merlino, Romina S. Goldszmid. Interrogating the role of the immune microenvironment in the response of brain metastases to immunotherapy using new preclinical melanoma models. [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 5188.

Purpose:Uveal melanoma is the most common eye cancer in adults. Approximately 50% of patients with uveal melanoma develop metastatic uveal melanoma (mUM) in the liver, even after successful treatment of the primary lesions. mUM is refractory to current chemo- and immune-therapies, and most mUM patients die within a year. Uveal melanoma is characterized by gain-of-function mutations in GNAQ/GNA11, encoding Gαq proteins. We have recently shown that the Gαq–oncogenic signaling circuitry involves a noncanonical pathway distinct from the classical activation of PLCβ and MEK–ERK. GNAQ promotes the activation of YAP1, a key oncogenic driver, through focal adhesion kinase (FAK), thereby identifying FAK as a druggable signaling hub downstream from GNAQ. However, targeted therapies often activate compensatory resistance mechanisms leading to cancer relapse and treatment failure.Experimental Design:We performed a kinome-wide CRISPR-Cas9 sgRNA screen to identify synthetic lethal gene interactions that can be exploited therapeutically. Candidate adaptive resistance mechanisms were investigated by cotargeting strategies in uveal melanoma and mUM in vitro and in vivo experimental systems.Results:sgRNAs targeting the PKC and MEK–ERK signaling pathways were significantly depleted after FAK inhibition, with ERK activation representing a predominant resistance mechanism. Pharmacologic inhibition of MEK and FAK showed remarkable synergistic growth-inhibitory effects in uveal melanoma cells and exerted cytotoxic effects, leading to tumor collapse in uveal melanoma xenograft and liver mUM models in vivo.Conclusions:Coupling the unique genetic landscape of uveal melanoma with the power of unbiased genetic screens, our studies reveal that FAK and MEK–ERK cotargeting may provide a new network-based precision therapeutic strategy for mUM treatment.See related commentary by Harbour, p. 2967

Individual MHC genotype constrains the mutational landscape during tumorigenesis. Immune checkpoint inhibition reactivates immunity against tumors that escaped immune surveillance in approximately 30% of cases. Recent studies demonstrated poorer response rates in female and younger patients. Although immune responses differ with sex and age, the role of MHC-based immune selection in this context is unknown. We find that tumors in younger and female individuals accumulate more poorly presented driver mutations than those in older and male patients, despite no differences in MHC genotype. Younger patients show the strongest effects of MHC-based driver mutation selection, with younger females showing compounded effects and nearly twice as much MHC-II based selection. This study presents evidence that strength of immune selection during tumor development varies with sex and age, and may influence the availability of mutant peptides capable of driving effective response to immune checkpoint inhibitor therapy., Here the authors show that stronger immune selection and immune editing in females and younger patients lead to the accumulation of poorly presented driver mutations in tumors. These results may explain why young and female patients are characterized by lower response rates to immune checkpoint blockade therapies.

Cancer recurrence after surgery remains an unresolved clinical problem1–3. Myeloid cells derived from bone marrow contribute to the formation of the premetastatic microenvironment, which is required for disseminating tumour cells to engraft distant sites4–6. There are currently no effective interventions that prevent the formation of the premetastatic microenvironment6,7. Here we show that, after surgical removal of primary lung, breast and oesophageal cancers, low-dose adjuvant epigenetic therapy disrupts the premetastatic microenvironment and inhibits both the formation and growth of lung metastases through its selective effect on myeloid-derived suppressor cells (MDSCs). In mouse models of pulmonary metastases, MDSCs are key factors in the formation of the premetastatic microenvironment after resection of primary tumours. Adjuvant epigenetic therapy that uses low-dose DNA methyltransferase and histone deacetylase inhibitors, 5-azacytidine and entinostat, disrupts the premetastatic niche by inhibiting the trafficking of MDSCs through the downregulation of CCR2 and CXCR2, and by promoting MDSC differentiation into a more-interstitial macrophage-like phenotype. A decreased accumulation of MDSCs in the premetastatic lung produces longer periods of disease-free survival and increased overall survival, compared with chemotherapy. Our data demonstrate that, even after removal of the primary tumour, MDSCs contribute to the development of premetastatic niches and settlement of residual tumour cells. A combination of low-dose adjuvant epigenetic modifiers that disrupts this premetastatic microenvironment and inhibits metastases may permit an adjuvant approach to cancer therapy. In mouse models of pulmonary metastasis, adjuvant epigenetic therapy targeting myeloid-derived suppressor cells disrupts the premetastatic microenvironment after resection of primary tumours and inhibits the dissemination of residual tumour cells.

Cutaneous malignant melanoma is an aggressive cancer of melanocytes with a strong propensity to metastasize. We posit that melanoma cells acquire metastatic capability by adopting an embryonic-like phenotype, and that a lineage approach would uncover metastatic melanoma biology. Using a genetically engineered mouse model to generate a rich melanoblast transcriptome dataset, we identify melanoblast-specific genes whose expression contribute to metastatic competence and derive a 43-gene signature that predicts patient survival. We identify a melanoblast gene, KDELR3, whose loss impairs experimental metastasis. In contrast, KDELR1 deficiency enhances metastasis, providing the first example of different disease etiologies within the KDELR-family of retrograde transporters. We show that KDELR3 regulates the metastasis suppressor, KAI1, and report an interaction with the E3 ubiquitin-protein ligase gp78, a regulator of KAI1 degradation. Our work demonstrates that the melanoblast transcriptome can be mined to uncover targetable pathways for melanoma therapy., Metastatic cells can mimic many of the phenotypic behaviors of embryonic cells. Here, the authors generate a melanoblast-specific transcriptome using a genetically engineered mouse model and identify KDELR3 as a pro-metastasis gene in melanoma.

Another benefit of dietary fiber The gut microbiome can modulate the immune system and influence the therapeutic response of cancer patients, yet the mechanisms underlying the effects of microbiota are presently unclear. Spencer et al . add to our understanding of how dietary habits affect microbiota and clinical outcomes to immunotherapy. In an observational study, the researchers found that melanoma patients reporting high fiber (prebiotic) consumption had a better response to checkpoint inhibitor immunotherapy compared with those patients reporting a low-fiber diet. The most marked benefit was observed for those patients reporting a combination of high fiber consumption and no use of over-the-counter probiotic supplements. These findings provide early insights as to how diet-related factors may influence the immune response. —PNK

Oncogenesis mimics key aspects of embryonic development. However, the underlying molecular determinants are not completely understood. Leveraging temporal transcriptomic data during development in multiple human organs, we demonstrate that the ‘embryonic positive (EP)’ alternative splicing events, specifically active during human organogenesis, are broadly reactivated in the organ-specific tumor. EP events are associated with key oncogenic processes and their reactivation predicts proliferation rates in cancer cell lines as well as patient survival. EP exons are significantly enriched for nitrosylation and transmembrane domains coordinately regulating splicing in multiple genes involved in intracellular transport and N-linked glycosylation respectively, known critical players in cancer. We infer critical splicing factors (CSF) potentially regulating these EP events and show that CSFs exhibit copy number amplifications in cancer and are upregulated specifically in malignant cells in the tumor microenvironment. Mutational inactivation of CSFs results in decreased EP splicing, further supporting their causal role. Multiple complementary analyses point to MYC and FOXM1 as potential transcriptional regulators of CSFs in brain and liver, which can be potentially targeted using FDA approved drugs. Our study provides the first comprehensive demonstration of a splicing-mediated link between development and cancer, and suggest novel targets including splicing events, splicing factors, and transcription factors.

Sex is an important factor that influences disease development, progression, and treatment. In multiple non-reproductive cancers, sex differences in incidence, progression, treatment response, survival, and other clinical outcomes are observed. Overall, males have a 20% higher chance of developing cancer over their lifetime, and experience worse clinical outcomes when compared with females. The NIH recognizes the importance of sex as a biologic variable and addressing sex as a biological variable is now required for all researchers submitting NIH grants. While more researchers are investigating the role of sex differences in cancer, a systematic review that examines the patterns of sex differences in incidence and survival across 15 non-reproductive cancers has not yet been published. We performed a systematic review by searching five databases using keywords and controlled vocabulary terms for each concept of interest and limited to English language. Records were included if it reported sex differences in human adults (18+), addressed incidence, mortality, or survival, at least one of the 15 cancers of interest, and were a cohort, cross-sectional, RCT, or case control study. Covidence was used for screening and two reviewers independently screened each record at title/abstract and then full text. Two reviewers independently completed data extraction using Microsoft Excel and the Cochrane RoB 2.0, and JBI tools were used for risk of bias assessment. The searches and pilot of the methods are underway. Understanding the role sex-differences play on incidence and survival are important for adding to our understanding of advances in diagnosis and treatment of individuals with cancer.