{"title":"The Effects of Clonal Heterogeneity on Cancer Immunosurveillance","authors":"K. Dijkstra, Yin Wu, C. Swanton","doi":"10.1146/annurev-cancerbio-061521-101910","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061521-101910","url":null,"abstract":"Intratumor heterogeneity (ITH) is associated with tumor progression in several clinical and experimental settings and contributes to therapeutic resistance. Its relation to cancer immunosurveillance is complex. Clonally heterogeneous tumors are associated with decreased immunosurveillance and are less responsive to immune checkpoint inhibition, but the mechanistic basis underlying these observations remains unclear. One possibility is that tumors that are under active immunosurveillance are relatively homogeneous because immunosurveillance prevents the outgrowth of immunogenic subclones. Alternatively, high ITH might directly impair immunosurveillance due to lower dosages of subclonal antigens, competition between antigens and immunodominance, the induction of detrimental T cell differentiation programs, or negative feedback loops. Here we review the evidence for these scenarios and outline hypotheses that could underlie the negative association between clonal heterogeneity and cancer immunosurveillance. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42485615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cancer-Associated Fibroblasts: Lessons from Pancreatic Cancer","authors":"M. Sherman, M. Pasca di Magliano","doi":"10.1146/annurev-cancerbio-061421-035400","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061421-035400","url":null,"abstract":"Cancer-associated fibroblasts (CAFs) are present in all malignancies. Arguably, in none are they as prevalent as they are in pancreatic ductal adenocarcinoma (PDAC), where they often outnumber cancer cells. The origin and function of CAFs are still not completely understood, and attempts to target this cell population as a component of combination therapy have so far not succeeded. Our understanding of pancreatic CAFs is in rapid evolution. Heterogeneity of CAFs is the key concept to understand this cell population. We discuss heterogeneity of origin, with recent findings challenging the notion that CAFs uniformly derive from pancreatic stellate cells, and instead suggesting that multiple types of resident fibroblasts contribute to CAF expansion. Heterogeneity in gene expression divides CAFs in different subpopulations. Most importantly, heterogeneity in function underlies the complexity of CAFs. CAFs deposit components of the extracellular matrix, contributing to the high interstitial pressure in pancreatic cancer. CAFs serve as “feeder” cells for cancer cells by providing metabolites, thus mitigating the effect of the low-nutrient environment of PDAC. At the same time, CAFs regulate the function of the immune system, inhibiting antitumor immune responses. Understanding the functional role of different CAF populations and the drivers of each of their functional roles is key to devising new ways to target this cell population in PDAC. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48693509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Potent and Paradoxical Biology of Cellular Senescence in Cancer","authors":"P. Romesser, S. Lowe","doi":"10.1146/annurev-cancerbio-061421-124434","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061421-124434","url":null,"abstract":"Cellular senescence is a tumor-suppressive program that promotes tissue homeostasis by identifying damaged cells for immune-mediated clearance. Thus, the ability to evade senescence and the ensuing immune surveillance is a hallmark of cancer. Reactivation of senescence programs can result in profound immune-mediated tumor regressions or sensitize tumors to immunotherapy, although the aberrant persistence of senescent cells can promote tissue decline and contribute to the side effects of some cancer therapies. In this review, we first briefly describe the discovery of senescence as a tumor-suppressive program. Next, we highlight the dueling good and bad effects of the senescence-associated secretory program (SASP) in cancer, including SASP-dependent immune effects. We then summarize the beneficial and deleterious effects of senescence induction by cancer therapies and strategies in development to leverage senescence therapeutically. Finally, we highlight challenges and unmet needs in understanding senescence in cancer and developing senescence-modulating therapies. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47803622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Cifci, G. P. Veldhuizen, S. Foersch, Jakob Nikolas Kather
{"title":"AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?","authors":"D. Cifci, G. P. Veldhuizen, S. Foersch, Jakob Nikolas Kather","doi":"10.1146/annurev-cancerbio-061521-092038","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061521-092038","url":null,"abstract":"Histopathology plays a fundamental role in the diagnosis and subtyping of solid tumors and has become a cornerstone of modern precision oncology. Histopathological evaluation is typically performed manually by expert pathologists due to the complexity of visual data. However, in the last ten years, new artificial intelligence (AI) methods have made it possible to train computers to perform visual tasks with high performance, reaching similar levels as experts in some applications. In cancer histopathology, these AI tools could help automate repetitive tasks, making more efficient use of pathologists’ time. In research studies, AI methods have been shown to have an astounding ability to predict genetic alterations and identify prognostic and predictive biomarkers directly from routine tissue slides. Here, we give an overview of these recent applications of AI in computational pathology, focusing on new tools for cancer research that could be pivotal in identifying clinical biomarkers for better treatment decisions. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44789886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hazheen K. Shirnekhi, Bappaditya Chandra, R. Kriwacki
{"title":"The Role of Phase-Separated Condensates in Fusion Oncoprotein–Driven Cancers","authors":"Hazheen K. Shirnekhi, Bappaditya Chandra, R. Kriwacki","doi":"10.1146/annurev-cancerbio-061421-122050","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061421-122050","url":null,"abstract":"Fusion oncoproteins (FOs) resulting from in-frame chromosomal translocations are associated with many aggressive cancers with poor patient outcomes. Several FOs are now understood to perform their oncogenic functions within biomolecular condensates formed through liquid-liquid phase separation (LLPS). Two classes of phase-separating FOs have emerged, those that form nuclear condensates and alter chromatin biology, including gene expression, and those that form cytoplasmic condensates and promote aberrant signaling, including RAS/MAPK signaling. The amino acid sequences of the FOs within these classes display LLPS-prone intrinsically disordered regions and folded domains that synergistically interact with themselves and other biomolecules to promote condensate formation. This review summarizes the roles of LLPS in the oncogenic functions of these two FO classes, provides examples of FOs that inhibit physiological LLPS in normal cells, and discusses the sequence features commonly associated with LLPS and their enrichment in many FOs. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47676186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Targeting Driver Oncogenes and Other Public Neoantigens Using T Cell Receptor-Based Cellular Therapy.","authors":"Tijana Martinov, Philip D Greenberg","doi":"10.1146/annurev-cancerbio-061521-082114","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-061521-082114","url":null,"abstract":"<p><p>T cell reactivity to tumor-specific neoantigens can drive endogenous and therapeutically induced antitumor immunity. However, most tumor-specific neoantigens are unique to each patient (private) and targeting them requires personalized therapy. A smaller subset of neoantigens includes epitopes that span recurrent mutation hotspots, translocations, or gene fusions in oncogenic drivers and tumor suppressors, as well as epitopes that arise from viral oncogenic proteins. Such antigens are likely to be shared across patients (public), uniformly expressed within a tumor, and required for cancer cell survival and fitness. Although a limited number of these public neoantigens are naturally immunogenic, recent studies affirm their clinical utility. In this review, we highlight efforts to target mutant KRAS, mutant p53, and epitopes derived from oncogenic viruses using T cells engineered with off-the-shelf T cell receptors. We also discuss the challenges and strategies to achieving more effective T cell therapies, particularly in the context of solid tumors.</p>","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":"7 1","pages":"331-351"},"PeriodicalIF":7.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470615/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10150304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Lemery, L. Fashoyin-Aje, L. Marcus, S. Casak, Julie A. Schneider, M. Theoret, P. Kluetz, R. Pazdur, J. Beaver
{"title":"Development of Tissue-Agnostic Treatments for Patients with Cancer","authors":"S. Lemery, L. Fashoyin-Aje, L. Marcus, S. Casak, Julie A. Schneider, M. Theoret, P. Kluetz, R. Pazdur, J. Beaver","doi":"10.1146/annurev-cancerbio-060921-021828","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-060921-021828","url":null,"abstract":"In 2017 the FDA (US Food and Drug Administration) approved pembrolizumab, a programmed death 1 (PD-1) inhibitor, for the treatment of unresectable or metastatic, microsatellite instability–high (MSI-H) or mismatch repair–deficient (dMMR) solid tumors, regardless of tumor site or histology. This represented the first approval based on the identification of a biomarker and independent of tumor site. Although this approach may intuitively appear rational, tissue-agnostic drug development can be complicated by tumor-specific resistance mechanisms or other factors that can alter a drug's effect. Inherent with the tissue-agnostic approach is the fact that there may be residual uncertainty concerning a drug's effect in unstudied tumor types (e.g., at the time of approval). However, this approach may be the only available mechanism to support approval and provide access to a drug that is indicated for the treatment of patients with certain rare biomarker-positive cancers.","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":" ","pages":""},"PeriodicalIF":7.7,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46307494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelli A Connolly, Brittany Fitzgerald, Martina Damo, Nikhil S Joshi
{"title":"Novel Mouse Models for Cancer Immunology.","authors":"Kelli A Connolly, Brittany Fitzgerald, Martina Damo, Nikhil S Joshi","doi":"10.1146/annurev-cancerbio-070620-105523","DOIUrl":"10.1146/annurev-cancerbio-070620-105523","url":null,"abstract":"<p><p>Mouse models for the study of cancer immunology provide excellent systems in which to test biological mechanisms of the immune response against cancer. Historically, these models have been designed to have different strengths based on the current major research questions at the time. As such, many mouse models of immunology used today were not originally developed to study questions currently plaguing the relatively new field of cancer immunology, but instead have been adapted for such purposes. In this review, we discuss various mouse model of cancer immunology in a historical context as a means to provide a fuller perspective of each model's strengths. From this outlook, we discuss the current state of the art and strategies for tackling future modeling challenges.</p>","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":"6 1","pages":"269-291"},"PeriodicalIF":4.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979244/pdf/nihms-1873858.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9080836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Oncohistones: Hijacking the histone code.","authors":"Varun Sahu, Chao Lu","doi":"10.1146/annurev-cancerbio-070120-102521","DOIUrl":"https://doi.org/10.1146/annurev-cancerbio-070120-102521","url":null,"abstract":"<p><p>Chromatin dysfunction has been implicated in a growing number of cancers especially in children and young adults. In addition to chromatin modifying and remodeling enzymes, mutations in histone genes are linked to human cancers. Since the first reports of hotspot missense mutations affecting key residues at histone H3 tail, studies have revealed how these so-called \"oncohistones\" dominantly (H3K27M and H3K36M) or locally (H3.3G34R/W) inhibit corresponding histone methyltransferases and misregulate epigenome and transcriptome to promote tumorigenesis. More recently, widespread mutations in all four core histones are identified in diverse cancer types. Furthermore, an \"oncohistone-like\" protein EZHIP has been implicated in driving childhood ependymomas through a mechanism highly reminiscent of H3K27M mutation. We will review recent progresses on understanding the biochemical, molecular and biological mechanisms underlying the canonical and novel histone mutations. Importantly, these mechanistic insights have identified therapeutic opportunities for oncohistone-driven tumors.</p>","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":"6 ","pages":"293-312"},"PeriodicalIF":7.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9802661/pdf/nihms-1860508.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10480574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CRISPR Screens to Identify Regulators of Tumor Immunity.","authors":"Martin W LaFleur, Arlene H Sharpe","doi":"10.1146/annurev-cancerbio-070120-094725","DOIUrl":"10.1146/annurev-cancerbio-070120-094725","url":null,"abstract":"<p><p>Cancer immunotherapies, such as immune checkpoint blockade (ICB), have been used in a wide range of tumor types with immense clinical benefit. However, ICB does not work in all patients, and attempts to combine ICB with other immune-based therapies have not lived up to their initial promise. Thus, there is a significant unmet need to discover new targets and combination therapies to extend the benefits of immunotherapy to more patients. Systems biology approaches are well suited for addressing this problem because these approaches enable evaluation of many gene targets simultaneously and ranking their relative importance for a phenotype of interest. As such, loss-of-function CRISPR screens are an emerging set of tools being used to prioritize gene targets for modulating pathways of interest in tumor and immune cells. This review describes the first screens performed to discover cancer immunotherapy targets and the technological advances that will enable next-generation screens.</p>","PeriodicalId":54233,"journal":{"name":"Annual Review of Cancer Biology-Series","volume":"6 ","pages":"103-122"},"PeriodicalIF":4.7,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389862/pdf/nihms-1804564.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9282148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}