Tumor Heterogeneity: a Great Barrier in the Age of Cancer Immunotherapy

Total Page:16

File Type:pdf, Size:1020Kb

Tumor Heterogeneity: a Great Barrier in the Age of Cancer Immunotherapy cancers Review Tumor Heterogeneity: A Great Barrier in the Age of Cancer Immunotherapy Nader El-Sayes 1,†, Alyssa Vito 1,† and Karen Mossman 2,* 1 Department of Biochemistry and Biomedical Sciences, McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada; [email protected] (N.E.-S.); [email protected] (A.V.) 2 Department of Medicine, McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada * Correspondence: [email protected] † These authors contributed equally to this publication. Simple Summary: Despite great advances in cancer therapy, tumor heterogeneity continues to be a great barrier for the successful treatment of cancer. It has long been established that tumor heterogeneity is prevelant in most cancer patients and is a major driver of acquired resistance to all forms of cancer therapy. In the case of immunotherapy, the response of the immune system against specific tumor antigens can drive selective pressure towards antigen-negative cells, which is a common cause of relapse in the clinic. In this review we summarize the mechanisms in which tumor heterogeity can arise. Furthermore, we discuss recent advances in the field of oncology that can be used to better identify, study, and overcome tumor heterogeneity. Abstract: Throughout the history of oncology research, tumor heterogeneity has been a major hurdle for the successful treatment of cancer. As a result of aberrant changes in the tumor microenvironment such as high mutational burden, hypoxic conditions and abnormal vasculature, several malignant subpopulations often exist within a single tumor mass. Therapeutic intervention can also increase Citation: El-Sayes, N.; Vito, A.; selective pressure towards subpopulations with acquired resistance. This phenomenon is often Mossman, K. Tumor Heterogeneity: the cause of relapse in previously responsive patients, drastically changing the expected outcome A Great Barrier in the Age of Cancer Immunotherapy. Cancers 2021, 13, of therapy. In the case of cancer immunotherapy, tumor heterogeneity is a substantial barrier as 806. https://doi.org/10.3390/ acquired resistance often takes the form of antigen escape and immunosuppression. In an effort to cancers13040806 combat intrinsic resistance mechanisms, therapies are often combined as a multi-pronged approach to target multiple pathways simultaneously. These multi-therapy regimens have long been a mainstay Academic Editor: Geeta Upadhyay of clinical oncology with chemotherapy cocktails but are more recently being investigated in the Received: 26 January 2021 emerging landscape of immunotherapy. Furthermore, as high throughput technology becomes Accepted: 12 February 2021 more affordable and accessible, researchers continue to deepen their understanding of the factors Published: 15 February 2021 that influence tumor heterogeneity and shape the TME over the course of treatment regimens. In this review, we will investigate the factors that give rise to tumor heterogeneity and the impact it Publisher’s Note: MDPI stays neutral has on the field of immunotherapy. We will discuss how tumor heterogeneity causes resistance to with regard to jurisdictional claims in various treatments and review the strategies currently being employed to overcome this challenging published maps and institutional affil- clinical hurdle. Finally, we will outline areas of research that should be prioritized to gain a better iations. understanding of tumor heterogeneity and develop appropriate solutions. Keywords: tumor heterogeneity; antigen escape; immunotherapy; cancer Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article 1. Introduction distributed under the terms and conditions of the Creative Commons Major challenges with universal cancer therapy have historically been attributed to Attribution (CC BY) license (https:// the large number of subtypes of the disease and the biological differences associated with creativecommons.org/licenses/by/ cancers arising in different parts of the body. While this locational diversity remains a 4.0/). challenge for unifying cancer treatment across various types, it has now become clear that Cancers 2021, 13, 806. https://doi.org/10.3390/cancers13040806 https://www.mdpi.com/journal/cancers Cancers 2021, 13, x 2 of 14 Cancers 2021, 13, 806 2 of 14 ditions of the Creative Commons At- eveneven patientspatients withwith phenotypicallyphenotypically identicalidentical cancerscancers oftenoften havehave dichotomousdichotomous responsesresponses toto tribution (CC BY) license (http://cre- treatmenttreatment [ 1[1,2],2].. As As we we have have continued continued to investigateto investigate the the inner inner workings workings of a tumor,of a tumor, we have we ativecommons.org/licenses/by/4.0/). discoveredhave discovered that cancers that cancers are formed are formed by many by distinctmany distinct cellular cellular populations, populations, rather thanrather a homogenousthan a homogenous clusterof cluster identical of identical cells. This cells. tumor This heterogeneity tumor heterogeneity can take the can form take of the cellular form andof cellular genetic and heterogeneity. genetic heterogeneity. Cellular heterogeneity Cellular heterogeneity is used to describe is used to the describe diversity the of diver- cells thatsity canof cells be found that incan the be tumor found microenvironment in the tumor microenvironment (TME). The presence (TME). of cancer-associated The presence of fibroblasts,cancer-associated endothelial fibroblasts, cells and endothelial immune cells cells plays and animmune important cells role plays in tumor an important progression role andin tumor response progression to therapy. and In response this review, to however,therapy. In we this will review, focus on however, the genetic we heterogeneity will focus on ofthe cancer genetic cells heterogeneity within one or of several cancer tumors,cells within which one is oftenor several a driver tumors, of acquired whichresistance is often a indriver tumors of acquired and represents resistance a major in tumors hurdle and for represents proper diagnosis, a major prognostichurdle for predictionproper diagno- and therapeuticsis, prognostic efficacy prediction [3]. and therapeutic efficacy [3]. ItIt isis wellwell establishedestablished thatthat tumortumor heterogeneityheterogeneity isis largelylargely drivendriven byby aberrantaberrant changeschanges inin thethe TME,TME, suchsuch asas highhigh mutationalmutational burden,burden, hypoxichypoxic conditionsconditions andand abnormalabnormal vascula-vascula- tureture [[4]4].. Additionally,Additionally, native native TME TME factors factors aside, aside, the the administration administration of of therapy therapy can can result result in selectivein selective pressure pressure towards towards subpopulations subpopulations with with acquired acquired resistance resistance mechanisms mechanisms [3,5]. [3,5] This. phenomenonThis phenomenon is often is often the cause the cause of relapse of relapse in previously in previously responsive responsive patients, patients, drastically drasti- shiftingcally shifting expected expected therapeutic therapeutic outcomes. outcomes. As oncology As oncology research research has progressed has progressed and evolved, and soevolved, too has so our too understanding has our understanding of cancer biologyof cancer and biology the immunological and the immunological synapse involved synapse ininvolved swaying in clinicalswaying prognoses. clinical prognoses. But the question But the question still remains, still remains how do, thesehow do environmen- these envi- talronmental and therapeutic and therapeutic situations situations influencing influencing the tumor the create tumor heterogeneity create heterogeneity and distinctive and dis- cellulartinctive populations?cellular populations? InIn 19761976 PeterPeter NowellNowell publishedpublished aa landmarklandmark perspectiveperspective piecepiece suggestingsuggesting thatthat cancercancer arisesarises through an an evolutionary evolutionary proc process,ess, similar similar in innature nature to Darwinian to Darwinian evolution evolution and andnat- naturalural selection selection [6]. [Nowell6]. Nowell suggested suggested that cancers that cancers arise through arise through stepwise, stepwise, somatic somatic cellular cellularmutations mutations inevitably inevitably leading to leading multiple to multiplesub-clonal sub-clonal populations populations (Figure 1) (Figure. This revelation1). This revelationchanged the changed way that the waycancer that was cancer studied was studiedand further and furtherhighlighted highlighted the need the for need multi for- multi-prongedpronged therapeutic therapeutic approaches approaches and a anddeeper a deeper understanding understanding of cancer of cancer at a genomic at a genomic level. level.Indeed, Indeed, as therapeutic as therapeutic approaches approaches have evolved have evolved in recent in recentdecades, decades, we have we seen have an seen in- ansurgence insurgence of combined of combined therapeutic therapeutic modalities modalities that can that target can cancer target cells cancer through cells throughdiffering differingmechanisms, mechanisms, with the withgoal of the overcoming goal of overcoming innate acquired innate acquiredresistance. resistance. FigureFigure 1.1. ClonalClonal evolutionevolution andand developmentdevelopment ofof tumortumor heterogeneity.heterogeneity see correct label positioning
Recommended publications
  • Intratumor Heterogeneity: Novel Approaches for Resolving Genomic Architecture and Clonal Evolution Ravi G
    Published OnlineFirst June 8, 2017; DOI: 10.1158/1541-7786.MCR-17-0070 Review Molecular Cancer Research Intratumor Heterogeneity: Novel Approaches for Resolving Genomic Architecture and Clonal Evolution Ravi G. Gupta and Robert A. Somer Abstract High-throughput genomic technologies have revealed a full mutational landscape of tumors could help reconstruct remarkably complex portrait of intratumor heterogeneity in their phylogenetic trees and trace the subclonal origins of cancer and have shown that tumors evolve through a reiterative therapeutic resistance, relapsed disease, and distant metastases, process of genetic diversification and clonal selection. This the major causes of cancer-related mortality. Real-time assess- discovery has challenged the classical paradigm of clonal ment of the tumor subclonal architecture, however, remains dominance and brought attention to subclonal tumor cell limited by the high rate of errors produced by most genome- populations that contribute to the cancer phenotype. Dynamic wide sequencing methods as well as the practical difficulties evolutionary models may explain how these populations grow associated with serial tumor genotyping in patients. This review within the ecosystem of tissues, including linear, branching, focuses on novel approaches to mitigate these challenges using neutral, and punctuated patterns. Recent evidence in breast bulk tumor, liquid biopsies, single-cell analysis, and deep cancer favors branching and punctuated evolution driven by sequencing techniques. The origins of intratumor heterogene- genome instability as well as nongenetic sources of heteroge- ity and the clinical, diagnostic, and therapeutic consequences neity, such as epigenetic variation, hierarchal tumor cell orga- in breast cancer are also explored. Mol Cancer Res; 15(9); 1127–37. nization, and subclonal cell–cell interactions.
    [Show full text]
  • Intra-Tumor Heterogeneity from a Cancer Stem Cell Perspective Pramudita R
    Prasetyanti and Medema Molecular Cancer (2017) 16:41 DOI 10.1186/s12943-017-0600-4 REVIEW Open Access Intra-tumor heterogeneity from a cancer stem cell perspective Pramudita R. Prasetyanti1,2 and Jan Paul Medema1,2,3* Abstract Tumor heterogeneity represents an ongoing challenge in the field of cancer therapy. Heterogeneity is evident between cancers from different patients (inter-tumor heterogeneity) and within a single tumor (intra-tumor heterogeneity). The latter includes phenotypic diversity such as cell surface markers, (epi)genetic abnormality, growth rate, apoptosis and other hallmarks of cancer that eventually drive disease progression and treatment failure. Cancer stem cells (CSCs) have been put forward to be one of the determining factors that contribute to intra-tumor heterogeneity. However, recent findings have shown that the stem-like state in a given tumor cell is a plastic quality. A corollary to this view is that stemness traits can be acquired via (epi)genetic modification and/or interaction with the tumor microenvironment (TME). Here we discuss factors contributing to this CSC heterogeneity and the potential implications for cancer therapy. Keywords: Tumor heterogeneity, Cancer stem cell, Stemness, Tumor microenvironment Background tumor and microenvironment heterogeneity determine A tumor is a heterogeneous population of cells, containing the fitness of the tumor and as such, are likely to be transformed cancer cells, supportive cells and tumor- crucial factors in treatment success. infiltrating cells. This intra-tumor heterogeneity is further Two models have been proposed to account for hetero- enhanced by clonal variation and microenvironmental geneity within a tumor. In the clonal evolution model, influences on cancer cells, which also do not represent a stochastic mutations in individual tumor cells serve as homogeneous set of cells.
    [Show full text]
  • A Population Genetics Perspective on the Determinants of Intra-Tumor Heterogeneity☆
    BBACAN-88143; No. of pages: 18; 4C: 2, 6, 8, 9, 10 Biochimica et Biophysica Acta xxx (2017) xxx–xxx Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbacan A population genetics perspective on the determinants of intra-tumor heterogeneity☆ Zheng Hu, Ruping Sun, Christina Curtis ⁎ Departments of Medicine and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA article info abstract Article history: Cancer results from the acquisition of somatic alterations in a microevolutionary process that typically occurs Received 16 December 2016 over many years, much of which is occult. Understanding the evolutionary dynamics that are operative at differ- Received in revised form 1 March 2017 ent stages of progression in individual tumors might inform the earlier detection, diagnosis, and treatment of can- Accepted 2 March 2017 cer. Although these processes cannot be directly observed, the resultant spatiotemporal patterns of genetic Available online xxxx variation amongst tumor cells encode their evolutionary histories. Such intra-tumor heterogeneity is pervasive not only at the genomic level, but also at the transcriptomic, phenotypic, and cellular levels. Given the implica- tions for precision medicine, the accurate quantification of heterogeneity within and between tumors has be- come a major focus of current research. In this review, we provide a population genetics perspective on the determinants of intra-tumor heterogeneity and approaches to quantify genetic diversity. We summarize evi- dence for different modes of evolution based on recent cancer genome sequencing studies and discuss emerging evolutionary strategies to therapeutically exploit tumor heterogeneity.
    [Show full text]
  • Heterogeneity in Breast Cancer and the Problem of Relevance of findings
    53 Mini review Heterogeneity in breast cancer and the problem of relevance of findings ∗ M. Aubele a, and M. Werner b these events has not been established. Furthermore, the a GSF – National Research Center for Environment relationship between histological progression and ge- and Health, Institute of Pathology, Neuherberg, netic events in breast cancer is not yet well defined. Germany This review discusses the cytogenetic and molecular b Technische Universität München, Klinikum rechts genetic findings published within the last years, the der Isar, Institute of Pathology, Munich, Germany problem of correlating molecular-biological data with histology, and, consequently, the difficulties in devel- Received 15 August 1999 oping a model for breast cancer progression. Accepted 16 November 1999 Many attempts are made to identify critical genetic events re- 2. Evidences for intratumoural heterogeneity sponsible for the development and progression of breast can- cer. There is increasing evidence that breast cancer is a het- Intratumour phenotypic heterogeneity is one of the erogeneous disease, both, phenotypically as well as with re- characteristics of breast carcinoma, and genetic mech- spect to its molecular biologically. It is, therefore, extremely anisms are likely to contribute to it [39]. Heteroge- difficult to establish a diagnostically and prognostically rel- neous molecular findings in different parts of a tumour evant tumourigenesis model. Emerging new techniques such may reflect concomitant or successive clonal develop- as microarrays, will provide us with a wealth of additional ment. No studies have yet been carried out to make a data over the next years. The precise sampling of tumour ma- comprehensive analysis of known genetic alterations.
    [Show full text]
  • The Role of Tumour Heterogeneity and Clonal Cooperativity in Metastasis, Immune Evasion and Clinical Outcome Deborah R
    Caswell and Swanton BMC Medicine (2017) 15:133 DOI 10.1186/s12916-017-0900-y REVIEW Open Access The role of tumour heterogeneity and clonal cooperativity in metastasis, immune evasion and clinical outcome Deborah R. Caswell1* and Charles Swanton1,2 Abstract Background: The advent of rapid and inexpensive sequencing technology allows scientists to decipher heterogeneity within primary tumours, between primary and metastatic sites, and between metastases. Charting the evolutionary history of individual tumours has revealed drivers of tumour heterogeneity and highlighted its impact on therapeutic outcomes. Discussion: Scientists are using improved sequencing technologies to characterise and address the challenge of tumour heterogeneity, which is a major cause of resistance to therapy and relapse. Heterogeneity may fuel metastasis through the selection of rare, aggressive, somatically altered cells. However, extreme levels of chromosomal instability, which contribute to intratumour heterogeneity, are associated with improved patient outcomes, suggesting a delicate balance between high and low levels of genome instability. Conclusions: We review evidence that intratumour heterogeneity influences tumour evolution, including metastasis, drug resistance, and the immune response. We discuss the prevalence of tumour heterogeneity, and how it can be initiated and sustained by external and internal forces. Understanding tumour evolution and metastasis could yield novel therapies that leverage the immune system to control emerging tumour neo-antigens.
    [Show full text]
  • Tumor Heterogeneity: a Central Foe in the War on Cancer Jane De Lartigue, Phd
    Feature New Therapies Tumor heterogeneity: a central foe in the war on cancer Jane de Lartigue, PhD major challenge to effective cancer treat- develop – the clonal evolution model and the cancer ment is the astounding level of heteroge- stem cell (CSC) model (Figure 1). neity that tumors display on many different Afronts. Here, we discuss how a deeper appreciation of The clonal evolution model this heterogeneity and its impact is driving research As cells divide, they randomly acquire mutations as a efforts to better understand and tackle it and a radi- result of DNA damage. The clonal evolution model cal rethink of treatment paradigms. posits that cancer develops as the result of a multi- step accumulation of a series of “driver” mutations A complex and dynamic disease that confer a promalignant advantage to the cell and The nonuniformity of cancer has long been appre- ultimately fuel a cancerous hallmark. ciated, reflected most visibly in the variation of This evolution can occur in a linear fashion, response to the same treatment across patients with whereby the emergence of a new driver mutation the same type of tumor (inter-tumor heterogene- conveys such a potent evolutionary advantage that it ity). The extent of tumor heterogeneity is being fully outcompetes all previous clones. There is limited evi- realized only now, with the advent of next-genera- dence for linear evolution in most advanced human tion sequencing technologies. Even within the same cancers; instead, they are thought to evolve predom- tumor, there can be significant heterogeneity from inantly through a process of branching evolution, in cell to cell (intra-tumor heterogeneity), yielding which multiple clones can diverge in parallel from a substantial complexity in cancer.
    [Show full text]
  • Cancer Stem Cells in Glioblastoma
    Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Cancer stem cells in glioblastoma Justin D. Lathia,1,2 Stephen C. Mack,3 Erin E. Mulkearns-Hubert,1 Claudia L.L. Valentim,3 and Jeremy N. Rich2,3 1Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA; 2Department of Molecular Medicine, Cleveland Clinic, Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio 44195, USA; 3Department of Stem Cell Biology and Regenerative Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA Tissues with defined cellular hierarchies in development tumors will develop resistance to overcome initially effec- and homeostasis give rise to tumors with cellular hierar- tive therapies that poison driving oncogenes. chies, suggesting that tumors recapitulate specific tissues Glioblastoma (GBM; World Health Organization grade and mimic their origins. Glioblastoma (GBM) is the IV glioma) is the most prevalent and lethal primary in- most prevalent and malignant primary brain tumor and trinsic brain tumor (Stupp et al. 2009). Unlike other solid contains self-renewing, tumorigenic cancer stem cells tumor cell types, GBM widely invades the surrounding (CSCs) that contribute to tumor initiation and thera- brain but rarely metastasizes to other organs. While halt- peutic resistance. As normal stem and progenitor cells ing steps to fight GBM are being made using targeted participate in tissue development and repair, these de- therapies (e.g., bevacizumab) or immunotherapies, GBM velopmental programs re-emerge in CSCs to support the therapy remains focused on achieving maximal surgi- development and progressive growth of tumors.
    [Show full text]
  • Future Medical Applications of Single-Cell Sequencing in Cancer Nicholas Navin*1,2 and James Hicks3
    Navin and Hicks Genome Medicine 2011, 3:31 http://genomemedicine.com/content/3/5/31 REVIEW Future medical applications of single-cell sequencing in cancer Nicholas Navin*1,2 and James Hicks3 Abstract thus complicate the inter- and intra-tumor comparisons, which are the basis of molecular classification methods. Advances in whole genome amplication and next- In addition, solid tumors are often composed of generation sequencing methods have enabled genomic multiple clonal subpopulations [1-3], and this analyses of single cells, and these techniques are now heterogeneity further confounds the analysis of clinical beginning to be used to detect genomic lesions in samples. Single-cell genomic methods have the capacity individual cancer cells. Previous approaches have been to resolve complex mixtures of cells in tumors. When unable to resolve genomic dierences in complex multiple clones are present in a tumor, molecular assays mixtures of cells, such as heterogeneous tumors, despite reflect an average signal of the population, or, the importance of characterizing such tumors for alternatively, only the signal from the dominant clone, cancer treatment. Sequencing of single cells is likely to which may not be the most malignant clone present in improve several aspects of medicine, including the early the tumor. is becomes particularly important as detection of rare tumor cells, monitoring of circulating molecular assays are employed for directing targeted tumor cells (CTCs), measuring intratumor heterogeneity, therapy, as in the use of ERBB2 (Her2-neu) gene and guiding chemotherapy. In this review we discuss amplification to identify patients likely to respond to the challenges and technical aspects of single-cell Herceptin (trastuzumab) treatment in breast cancer, sequencing, with a strong focus on genomic copy where 5% to 30% of all patients have been reported to number, and discuss how this information can be used exhibit such genetic heterogeneity [4-7].
    [Show full text]
  • A Deep Convolutional Neural Network for Segmentation of Whole-Slide
    www.nature.com/bjc ARTICLE AI Applied to Cancer A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell- perivascular niche interactions that are associated with poor survival in glioblastoma Amin Zadeh Shirazi 1,2, Mark D. McDonnell 2, Eric Fornaciari3, Narjes Sadat Bagherian4, Kaitlin G. Scheer 1, Michael S. Samuel 1,5, Mahdi Yaghoobi6, Rebecca J. Ormsby 7, Santosh Poonnoose 7,8, Damon J. Tumes 1 and Guillermo A. Gomez 1 BACKGROUND: Glioblastoma is the most aggressive type of brain cancer with high-levels of intra- and inter-tumour heterogeneity that contribute to its rapid growth and invasion within the brain. However, a spatial characterisation of gene signatures and the cell types expressing these in different tumour locations is still lacking. METHODS: We have used a deep convolutional neural network (DCNN) as a semantic segmentation model to segment seven different tumour regions including leading edge (LE), infiltrating tumour (IT), cellular tumour (CT), cellular tumour microvascular proliferation (CTmvp), cellular tumour pseudopalisading region around necrosis (CTpan), cellular tumour perinecrotic zones (CTpnz) and cellular tumour necrosis (CTne) in digitised glioblastoma histopathological slides from The Cancer Genome Atlas (TCGA). Correlation analysis between segmentation results from tumour images together with matched RNA expression data was performed to identify genetic signatures that are specific to different tumour regions. RESULTS: We found that spatially resolved gene signatures were strongly correlated with survival in patients with defined genetic mutations. Further in silico cell ontology analysis along with single-cell RNA sequencing data from resected glioblastoma tissue samples showed that these tumour regions had different gene signatures, whose expression was driven by different cell types in the regional tumour microenvironment.
    [Show full text]
  • Heterogeneity in Cancer Stem Cells
    Cancer Letters 357 (2015) 63–68 Contents lists available at ScienceDirect Cancer Letters journal homepage: www.elsevier.com/locate/canlet Mini-review Heterogeneity in cancer stem cells Anxin Wang a,b,c,1, Lisha Chen a,b,c,1, Chunlin Li a,b,c, Yimin Zhu a,* a Key Laboratory for Nano-Bio Interface Research, Suzhou Key Laboratory for Nanotheranostics, Division of Nanobiomedicine, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China b Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China c University of Chinese Academy of Sciences, Beijing 100049, China ARTICLE INFO ABSTRACT Article history: Accumulating evidence suggests that cancer stem cells (CSCs) are heterogeneous populations and their Received 30 September 2014 phenotypes are unstable. A number of intrinsic and extrinsic mechanisms contribute to CSC phenotypic Received in revised form 18 November variation. The existence of various CSC subpopulations which would lead to a rapid relapse after primary 2014 treatments might pose a problem for CSC targeted therapeutics. In order to develop more effective ap- Accepted 18 November 2014 proaches to cancer therapeutics, more CSC-related surface markers or targeting molecules, as well as some novel targeting strategies should be explored. This review summarized the origin and performance of Keywords: heterogeneity in CSCs and discussed their therapeutic implications. Cancer stem cell Heterogeneity © 2014 Elsevier Ireland Ltd. All rights reserved. Surface marker Targeting therapy Introduction which cause heterogeneous in macroscopic feature, microscope ap- pearance and clinical outcomes, define the heterogeneity of CSCs In the past two decades, significant progress has been made in [20].
    [Show full text]
  • UNDERSTANDING CANCER: Tumour Heterogeneity
    PIP Digest UNDERSTANDING CANCER: Tumour Heterogeneity The genetic diversity or ‘heterogeneity’ of cancer makes it a complex and challenging disease. This PIP Digest explains what the concept of tumour heterogeneity means for cancer treatment. Key Concepts • Intratumour heterogeneity • Clonal evolution • Cancer stem cells Related PIP Digests • Understanding Cancer: Epigenetics 101 • Understanding Cancer: Cancer Biomarker Basics • Clinical Trials: Precision Medicine and Clinical Trials “Every individual specimen of cancer is its own individual specimen of cancer. We have not encountered in our history a disease where every single instance of the disease is its own instance of the disease. That is a unique thing about cancer." -- Siddhartha Mukherjee (2017) For a very long time, cancer was considered a mass of fast-growing cells with similar mutations that could respond if only researchers could fine an effective treatment. Over time, though, researchers discovered that cancer not only varies between patients (interpatient heterogeneity), but that there is variation within one person’s tumours (intertumour heterogeneity) and even within a single tumour (intratumour heterogeneity). Tumour heterogeneity describes differences in cancer cells’ shape and structure (morphology), gene expression, metabolism, and capacity to move, proliferate, and metastasize. For example, prostate cancer has been described as “multi-focal.” This means that men with prostate cancer often have multiple tumours, each of which evolves independently and has different mutations. These variations greatly affect clinical care. A single biopsy or tissue sample cannot reveal the variability among and within tumours. A treatment plan made on partial information will likely fail to eradicate the cancer. 1 PIP Digest Tumour Heterogeneity From: https://www.ous-research.no/lothe/?k=lothe%2Fcancer+type&aid=14844 The heterogeneity of tumours is the key reason why effective cancer treatment is so challenging.
    [Show full text]
  • Intra-Tumor Heterogeneity of Cancer Cells and Its Implications for Cancer Treatment
    npg Acta Pharmacologica Sinica (2015) 36: 1219–1227 www.nature.com/aps Review Intra-tumor heterogeneity of cancer cells and its implications for cancer treatment Xiao-xiao SUN, Qiang YU* Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China Recent studies have revealed extensive genetic and non-genetic variation across different geographical regions of a tumor or through- out different stages of tumor progression, which is referred to as intra-tumor heterogeneity. Several causes contribute to this phe- nomenon, including genomic instability, epigenetic alteration, plastic gene expression, signal transduction, and microenvironmental differences. These variables may affect key signaling pathways that regulate cancer cell growth, drive phenotypic diversity, and pose challenges to cancer treatment. Understanding the mechanisms underlying this heterogeneity will support the development of effec- tive therapeutic strategies. Key words cancer cells; intra-tumor heterogeneity; genetic heterogeneity; signal transduction; cancer therapy Acta Pharmacologica Sinica (2015) 36: 1219–1227; doi: 10.1038/aps.2015.92; published online 21 Sep 2015 Introduction improve the understanding and management of this heteroge- Solid tumors are heterogeneous neoplasms composed of dif- neity in cancer treatment. ferent types of cells, including cancer cells as well as mesen- chymal cells, endovascular cells, and immune cells[1]. In addi- Heterogeneity in genetic mutation tion to the complex tissue architecture of a tumor, cancer cells Genomic aberrations in cancers have been recognized for a within a single tumor are also heterogeneous in their molecu- long time; these include base-pair substitutions, focal dele- lar signatures; this is referred to as intra-tumor heterogene- tions/amplifications, tandem duplications, chromosomal rear- ity[2-4].
    [Show full text]