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Carrothers E, Appleby M, Lai V, Kozbenko T, Alomar D, Smith BJ, Hamada N, Hinton P, Ainsbury EA, Hocking R, Yauk C, Wilkins RC, Chauhan V. AOP report: Development of an adverse outcome pathway for deposition of energy leading to cataracts. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2024. [PMID: 38644659 DOI: 10.1002/em.22594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/23/2024]
Abstract
Cataracts are one of the leading causes of blindness, with an estimated 95 million people affected worldwide. A hallmark of cataract development is lens opacification, typically associated not only with aging but also radiation exposure as encountered by interventional radiologists and astronauts during the long-term space mission. To better understand radiation-induced cataracts, the adverse outcome pathway (AOP) framework was used to structure and evaluate knowledge across biological levels of organization (e.g., macromolecular, cell, tissue, organ, organism and population). AOPs identify a sequence of key events (KEs) causally connected by key event relationships (KERs) beginning with a molecular initiating event to an adverse outcome (AO) of relevance to regulatory decision-making. To construct the cataract AO and retrieve evidence to support it, a scoping review methodology was used to filter, screen, and review studies based on the modified Bradford Hill criteria. Eight KEs were identified that were moderately supported by empirical evidence (e.g., dose-, time-, incidence-concordance) across the adjacent (directly linked) relationships using well-established endpoints. Over half of the evidence to justify the KER linkages was derived from the evidence stream of biological plausibility. Early KEs of oxidative stress and protein modifications had strong linkages to downstream KEs and could be the focus of countermeasure development. Several identified knowledge gaps and inconsistencies related to the quantitative understanding of KERs which could be the basis of future research, most notably directed to experiments in the range of low or moderate doses and dose-rates, relevant to radiation workers and other occupational exposures.
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Affiliation(s)
- Emma Carrothers
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Meghan Appleby
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Vita Lai
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Tatiana Kozbenko
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Dalya Alomar
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Benjamin J Smith
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Nobuyuki Hamada
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Chiba, Japan
| | - Patricia Hinton
- Defense Research & Development Canada, Canadian Forces Environmental Medicine Establishment, Toronto, Ontario, Canada
| | - Elizabeth A Ainsbury
- Radiation, Chemical and Environmental Hazards Division, UK Health Security Agency, Birmingham, UK
- Environmental Research Group within the School of Public Health, Faculty of Medicine at Imperial College of Science, Technology and Medicine, London, UK
| | - Robyn Hocking
- Learning and Knowledge and Library Services, Health Canada, Ottawa, Ontario, Canada
| | - Carole Yauk
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Ruth C Wilkins
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
| | - Vinita Chauhan
- Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada, Ottawa, Ontario, Canada
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2
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Subramanian A, Hall M, Hou H, Mufteev M, Yu B, Yuki KE, Nishimura H, Sathaseevan A, Lant B, Zhai B, Ellis J, Wilson MD, Daugaard M, Derry WB. Alternative polyadenylation is a determinant of oncogenic Ras function. SCIENCE ADVANCES 2021; 7:eabh0562. [PMID: 34919436 PMCID: PMC8682989 DOI: 10.1126/sciadv.abh0562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 10/29/2021] [Indexed: 06/14/2023]
Abstract
Alternative polyadenylation of mRNA has important but poorly understood roles in development and cancer. Activating mutations in the Ras oncogene are common drivers of many human cancers. From a screen for enhancers of activated Ras (let-60) in Caenorhabditis elegans, we identified cfim-1, a subunit of the alternative polyadenylation machinery. Ablation of cfim-1 increased penetrance of the multivulva phenotype in let-60/Ras gain-of-function (gf) mutants. Depletion of the human cfim-1 ortholog CFIm25/NUDT21 in cancer cells with KRAS mutations increased their migration and stimulated an epithelial-to-mesenchymal transition. CFIm25-depleted cells and cfim-1 mutants displayed biased placement of poly(A) tails to more proximal sites in many conserved transcripts. Functional analysis of these transcripts identified the multidrug resistance protein mrp-5/ABCC1 as a previously unidentified regulator of C. elegans vulva development and cell migration in human cells through alternative 3′UTR usage. Our observations demonstrate a conserved functional role for alternative polyadenylation in oncogenic Ras function.
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Affiliation(s)
- Aishwarya Subramanian
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Mathew Hall
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Huayun Hou
- Genetics and Genome Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Marat Mufteev
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Bin Yu
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Kyoko E. Yuki
- Genetics and Genome Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Haruka Nishimura
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Anson Sathaseevan
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Benjamin Lant
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | - Beibei Zhai
- Vancouver Prostate Centre, Vancouver, BC V6H 3Z6, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - James Ellis
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael D. Wilson
- Genetics and Genome Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Mads Daugaard
- Vancouver Prostate Centre, Vancouver, BC V6H 3Z6, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - W. Brent Derry
- Developmental and Stem Cell Biology Program, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
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3
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Murakami K, Kanto A, Sakai K, Miyagawa C, Takaya H, Nakai H, Kotani Y, Nishio K, Matsumura N. Frequent PIK3CA mutations in eutopic endometrium of patients with ovarian clear cell carcinoma. Mod Pathol 2021; 34:2071-2079. [PMID: 34172890 PMCID: PMC8514336 DOI: 10.1038/s41379-021-00861-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 12/23/2022]
Abstract
Recent studies have reported cancer-associated mutations in normal endometrium. Mutations in eutopic endometrium may lead to endometriosis and endometriosis-associated ovarian cancer. We investigated PIK3CA mutations (PIK3CAm) for three hotspots (E542K, E545K, H1047R) in eutopic endometrium in patients with ovarian cancer and endometriosis from formalin-fixed paraffin-embedded specimens by laser-capture microdissection and droplet digital PCR. The presence of PIK3CAm in eutopic endometrial glands with mutant allele frequency ≥ 15% were as follows: ovarian clear cell carcinoma (OCCC) with PIK3CAm in tumors, 20/300 hotspots in 11/14 cases; OCCC without PIK3CAm, 42/78 hotspots in 11/12 cases; high-grade serous ovarian carcinoma, 8/45 hotspots in 3/5 cases; and endometriotic cysts, 5/63 hotspots in 5/6 cases. These rates were more frequent than in noncancer nonendometriosis controls (7/309 hotspots in 5/17 cases). In OCCC without PIK3CAm, 7/12 (58%) cases showed multiple hotspot mutations in the same eutopic endometrial glands. In 3/54 (5.6%) cases, PIK3CAm was found in eutopic endometrial stroma. Multisampling of the OCCC tumors with PIK3CAm showed intratumor heterogeneity in three of eight cases. In two cases, PIK3CAm was detected in the stromal component of the tumor. Homogenous PIK3CAm in the epithelial component of the tumor matched the mutation in eutopic endometrial glands in only one case. Eutopic endometrial glands in ovarian cancer and endometriosis show high frequency of PIK3CAm that is not consistent with tumors, and multiple hotspot mutations are often found in the same glands. While the mutations identified in eutopic endometrium may not be driver mutations in the patient's cancer, these are still driver mutations but this specific clone has not undergone the requisite steps for the development of cancer.
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Affiliation(s)
- Kosuke Murakami
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Akiko Kanto
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kazuko Sakai
- Department of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Chiho Miyagawa
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Hisamitsu Takaya
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Hidekatsu Nakai
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Yasushi Kotani
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kazuto Nishio
- Department of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Noriomi Matsumura
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan.
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McKim KL, Myers MB, Harris KL, Gong B, Xu J, Parsons BL. CarcSeq Measurement of Rat Mammary Cancer Driver Mutations and Relation to Spontaneous Mammary Neoplasia. Toxicol Sci 2021; 182:142-158. [PMID: 33822199 DOI: 10.1093/toxsci/kfab040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The ability to deduce carcinogenic potential from subchronic, repeat dose rodent studies would constitute a major advance in chemical safety assessment and drug development. This study investigated an error-corrected NGS method (CarcSeq) for quantifying cancer driver mutations (CDMs) and deriving a metric of clonal expansion predictive of future neoplastic potential. CarcSeq was designed to interrogate subsets of amplicons encompassing hotspot CDMs applicable to a variety of cancers. Previously, normal human breast DNA was analyzed by CarcSeq and metrics based on mammary-specific CDMs were correlated with tissue donor age, a surrogate of breast cancer risk. Here we report development of parallel methodologies for rat. The utility of the rat CarcSeq method for predicting neoplastic potential was investigated by analyzing mammary tissue of 16-week-old untreated rats with known differences in spontaneous mammary neoplasia (Fischer 344, Wistar Han, and Sprague Dawley). Hundreds of mutants with mutant fractions ≥ 10-4 were quantified in each strain, most were recurrent mutations, and 42.5% of the nonsynonymous mutations have human homologs. Mutants in the mammary-specific target of the most tumor-sensitive strain (Sprague Dawley) showed the greatest nonsynonymous/synonymous mutation ratio, indicative of positive selection consistent with clonal expansion. For the mammary-specific target (Hras, Pik3ca, and Tp53 amplicons), median absolute deviation correlated with percentages of rats that develop spontaneous mammary neoplasia at 104 weeks (Pearson r = 1.0000, 1-tailed p = .0010). Therefore, this study produced evidence CarcSeq analysis of spontaneously occurring CDMs can be used to derive an early metric of clonal expansion relatable to long-term neoplastic outcome.
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Affiliation(s)
| | | | | | - Binsheng Gong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas 72079, USA
| | - Joshua Xu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas 72079, USA
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Harris KL, McKim KL, Myers MB, Gong B, Xu J, Parsons BL. Assessment of clonal expansion using CarcSeq measurement of lung cancer driver mutations and correlation with mouse strain- and sex-related incidence of spontaneous lung neoplasia. Toxicol Sci 2021; 184:1-14. [PMID: 34373914 DOI: 10.1093/toxsci/kfab098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Quantification of variation in levels of spontaneously occurring cancer driver mutations (CDMs) was developed to assess clonal expansion and predict future risk of neoplasm development. Specifically, an error-corrected next generation sequencing method, CarcSeq, and a mouse CarcSeq panel (analogous to human and rat panels) were developed and used to quantify low-frequency mutations in a panel of amplicons enriched in hotspot CDMs. Mutations in a subset of panel amplicons, Braf, Egfr, Kras, Stk11 and Tp53, were related to incidence of lung neoplasms at two years. This was achieved by correlating median absolute deviation (MAD) from the overall median mutant fraction (MF) measured in the lung DNA of 16-week-old male and female, B6C3F1 and CD-1 mice (10 mice/sex/strain) with percentages of spontaneous alveolar/bronchioloalveolar adenomas and carcinomas reported in bioassay control groups. 1,586 mouse lung mutants with MFs >1 x 10-4 were recovered. The ratio of non-synonymous to synonymous mutations was used to assess the proportion of recovered mutations conferring a positive selective advantage. The greatest ratio was observed in what is considered the most lung tumor-sensitive model examined, male B6C3F1 mice. Of the recurrent, non-synonymous mouse mutations recovered, 55.5% have been reported in human tumors, with many located in or around the mouse equivalent of human cancer hotspot codons. MAD for the same subset of amplicons measured in normal human lung DNA samples showed a correlation of moderate strength and borderline significance) with age (a cancer risk factor), as well as age-related cumulative lung cancer risk, suggesting MAD may inform species extrapolation.
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Affiliation(s)
- Kelly L Harris
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Genetic and Molecular Toxicology, 3900 NCTR Rd, Jefferson, AR, 72079
| | - Karen L McKim
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Genetic and Molecular Toxicology, 3900 NCTR Rd, Jefferson, AR, 72079
| | - Meagan B Myers
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Genetic and Molecular Toxicology, 3900 NCTR Rd, Jefferson, AR, 72079
| | - Binsheng Gong
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Bioinformatics and Biostatistics, 3900 NCTR Rd, Jefferson, AR, 72079
| | - Joshua Xu
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Bioinformatics and Biostatistics, 3900 NCTR Rd, Jefferson, AR, 72079
| | - Barbara L Parsons
- U.S. Food and Drug Administration, National Center for Toxicological Research, Division of Genetic and Molecular Toxicology, 3900 NCTR Rd, Jefferson, AR, 72079
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6
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Harris KL, Walia V, Gong B, McKim KL, Myers MB, Xu J, Parsons BL. Quantification of cancer driver mutations in human breast and lung DNA using targeted, error-corrected CarcSeq. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2020; 61:872-889. [PMID: 32940377 PMCID: PMC7756507 DOI: 10.1002/em.22409] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/04/2020] [Accepted: 09/12/2020] [Indexed: 05/14/2023]
Abstract
There is a need for scientifically-sound, practical approaches to improve carcinogenicity testing. Advances in DNA sequencing technology and knowledge of events underlying cancer development have created an opportunity for progress in this area. The long-term goal of this work is to develop variation in cancer driver mutation (CDM) levels as a metric of clonal expansion of cells carrying CDMs because these important early events could inform carcinogenicity testing. The first step toward this goal was to develop and validate an error-corrected next-generation sequencing method to analyze panels of hotspot cancer driver mutations (hCDMs). The "CarcSeq" method that was developed uses unique molecular identifier sequences to construct single-strand consensus sequences for error correction. CarcSeq was used for mutational analysis of 13 amplicons encompassing >20 hotspot CDMs in normal breast, normal lung, ductal carcinomas, and lung adenocarcinomas. The approach was validated by detecting expected differences related to tissue type (normal vs. tumor and breast vs. lung) and mutation spectra. CarcSeq mutant fractions (MFs) correlated strongly with previously obtained ACB-PCR mutant fraction (MF) measurements from the same samples. A reconstruction experiment, in conjunction with other analyses, showed CarcSeq accurately quantifies MFs ≥10-4 . CarcSeq MF measurements were correlated with tissue donor age and breast cancer risk. CarcSeq MF measurements were correlated with deviation from median MFs analyzed to assess clonal expansion. Thus, CarcSeq is a promising approach to advance cancer risk assessment and carcinogenicity testing practices. Paradigms that should be investigated to advance this strategy for carcinogenicity testing are proposed.
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Affiliation(s)
- Kelly L. Harris
- US Food and Drug Administration, National Center for Toxicological ResearchDivision of Genetic and Molecular ToxicologyJeffersonArkansasUSA
| | - Vijay Walia
- US Food and Drug Administration, National Center for Toxicological ResearchDivision of Genetic and Molecular ToxicologyJeffersonArkansasUSA
- Present address:
USA
| | - Binsheng Gong
- US Food and Drug AdministrationNational Center for Toxicological Research, Division of Bioinformatics and BiostatisticsJeffersonArkansasUSA
| | - Karen L. McKim
- US Food and Drug Administration, National Center for Toxicological ResearchDivision of Genetic and Molecular ToxicologyJeffersonArkansasUSA
| | - Meagan B. Myers
- US Food and Drug Administration, National Center for Toxicological ResearchDivision of Genetic and Molecular ToxicologyJeffersonArkansasUSA
| | - Joshua Xu
- US Food and Drug AdministrationNational Center for Toxicological Research, Division of Bioinformatics and BiostatisticsJeffersonArkansasUSA
| | - Barbara L. Parsons
- US Food and Drug Administration, National Center for Toxicological ResearchDivision of Genetic and Molecular ToxicologyJeffersonArkansasUSA
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Abstract
Allele-specific competitive blocker PCR (ACB-PCR) is a sensitive and quantitative approach for the selective amplification of a specific base substitution. Using the ACB-PCR technique, hotspot cancer-driver mutations (tumor-relevant mutations in oncogenes and tumor suppressor genes, which confer a selective growth advantage) are being developed as quantitative biomarkers of cancer risk. ACB-PCR employs a mutant-specific primer (with a 3'-penultimate mismatch relative to the mutant DNA sequence, but a double 3'-terminal mismatch relative to the wild-type DNA sequence) to selectively amplify rare mutant DNA molecules. A blocker primer having a non-extendable 3'-end and a 3'-penultimate mismatch relative to the wild-type DNA sequence, but a double 3'-terminal mismatch relative to the mutant DNA sequence is included in ACB-PCR to selectively repress amplification from abundant wild-type molecules. Consequently, ACB-PCR can quantify the level of a single base pair substitution mutation in a DNA population when present at a mutant:wild-type ratio of 1 × 10-5 or greater. Quantification of rare mutant alleles is achieved by parallel analysis of unknown samples and mutant fraction (MF) standards (defined mixtures of mutant and wild-type DNA sequences). The ability to quantify specific mutations with known association to cancer has several important applications in evaluating the carcinogenic potential of chemical exposures in rodent models. Further, the measurement of cancer-driver mutant subpopulations is important for precision cancer treatment (selecting the most appropriate targeted therapy and predicting the development of therapeutic resistance). This chapter provides a step-by-step description of the ACB-PCR methodology as it has been used to measure human PIK3CA codon 1047, CAT→CGT (H1047R) mutation.
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Banda M, McKim KL, Myers MB, Inoue M, Parsons BL. Outgrowth of erlotinib-resistant subpopulations recapitulated in patient-derived lung tumor spheroids and organoids. PLoS One 2020; 15:e0238862. [PMID: 32898185 PMCID: PMC7478813 DOI: 10.1371/journal.pone.0238862] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 08/25/2020] [Indexed: 12/17/2022] Open
Abstract
A model that recapitulates development of acquired therapeutic resistance is needed to improve oncology drug development and patient outcomes. To achieve this end, we established methods for the preparation and growth of spheroids from primary human lung adenocarcinomas, including methods to culture, passage, monitor growth, and evaluate changes in mutational profile over time. Primary lung tumor spheroids were cultured in Matrigel® with varying concentrations of erlotinib, a small molecule kinase inhibitor of epidermal growth factor receptor (EGFR) that is ineffective against KRAS mutant cells. Subtle changes in spheroid size and number were observed within the first two weeks of culture. Spheroids were cultured for up to 24 weeks, during which time interactions between different cell types, movement, and assembly into heterogeneous organoid structures were documented. Allele-specific competitive blocker PCR (ACB-PCR) was used to quantify low frequency BRAF V600E, KRAS G12D, KRAS G12V, and PIK3CA H1047R mutant subpopulations in tumor tissue residue (TR) samples and cultured spheroids. Mutant subpopulations, including multiple mutant subpopulations, were quite prevalent. Twelve examples of mutant enrichment were found in eight of the 14 tumors analyzed, based on the criteria that a statistically-significant increase in mutant fraction was observed relative to both the TR and the no-erlotinib control. Of the mutants quantified in erlotinib-treated cultures, PIK3CA H1047 mutant subpopulations increased most often (5/14 tumors), which is consistent with clinical observations. Thus, this ex vivo lung tumor spheroid model replicates the cellular and mutational tumor heterogeneity of human lung adenocarcinomas and can be used to assess the outgrowth of mutant subpopulations. Spheroid cultures with characterized mutant subpopulations could be used to investigate the efficacy of lung cancer combination therapies.
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Affiliation(s)
- Malathi Banda
- Division of Genetic and Molecular Toxicology, US Food & Drug Administration, National Center for Toxicological Research, Jefferson, Arkansas, United States of America
| | - Karen L. McKim
- Division of Genetic and Molecular Toxicology, US Food & Drug Administration, National Center for Toxicological Research, Jefferson, Arkansas, United States of America
| | - Meagan B. Myers
- Division of Genetic and Molecular Toxicology, US Food & Drug Administration, National Center for Toxicological Research, Jefferson, Arkansas, United States of America
| | - Masahiro Inoue
- Osaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan
| | - Barbara L. Parsons
- Division of Genetic and Molecular Toxicology, US Food & Drug Administration, National Center for Toxicological Research, Jefferson, Arkansas, United States of America
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Kennedy SA, Jarboui MA, Srihari S, Raso C, Bryan K, Dernayka L, Charitou T, Bernal-Llinares M, Herrera-Montavez C, Krstic A, Matallanas D, Kotlyar M, Jurisica I, Curak J, Wong V, Stagljar I, LeBihan T, Imrie L, Pillai P, Lynn MA, Fasterius E, Al-Khalili Szigyarto C, Breen J, Kiel C, Serrano L, Rauch N, Rukhlenko O, Kholodenko BN, Iglesias-Martinez LF, Ryan CJ, Pilkington R, Cammareri P, Sansom O, Shave S, Auer M, Horn N, Klose F, Ueffing M, Boldt K, Lynn DJ, Kolch W. Extensive rewiring of the EGFR network in colorectal cancer cells expressing transforming levels of KRAS G13D. Nat Commun 2020; 11:499. [PMID: 31980649 PMCID: PMC6981206 DOI: 10.1038/s41467-019-14224-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 12/05/2019] [Indexed: 02/07/2023] Open
Abstract
Protein-protein-interaction networks (PPINs) organize fundamental biological processes, but how oncogenic mutations impact these interactions and their functions at a network-level scale is poorly understood. Here, we analyze how a common oncogenic KRAS mutation (KRASG13D) affects PPIN structure and function of the Epidermal Growth Factor Receptor (EGFR) network in colorectal cancer (CRC) cells. Mapping >6000 PPIs shows that this network is extensively rewired in cells expressing transforming levels of KRASG13D (mtKRAS). The factors driving PPIN rewiring are multifactorial including changes in protein expression and phosphorylation. Mathematical modelling also suggests that the binding dynamics of low and high affinity KRAS interactors contribute to rewiring. PPIN rewiring substantially alters the composition of protein complexes, signal flow, transcriptional regulation, and cellular phenotype. These changes are validated by targeted and global experimental analysis. Importantly, genetic alterations in the most extensively rewired PPIN nodes occur frequently in CRC and are prognostic of poor patient outcomes.
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Affiliation(s)
- Susan A Kennedy
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Mohamed-Ali Jarboui
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Werner Siemens Imaging Center, University of Tübingen, Tübingen, Germany
| | - Sriganesh Srihari
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
- QIMR-Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - Cinzia Raso
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Kenneth Bryan
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
| | - Layal Dernayka
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
| | - Theodosia Charitou
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
| | - Manuel Bernal-Llinares
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
| | | | | | - David Matallanas
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Max Kotlyar
- Krembil Research Institute, University Health Network, Toronto, Canada
| | - Igor Jurisica
- Krembil Research Institute, University Health Network, Toronto, Canada
- Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Jasna Curak
- Donnelly Centre, University of Toronto, Toronto, Canada
- Department of Biochemistry, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Victoria Wong
- Donnelly Centre, University of Toronto, Toronto, Canada
- Department of Biochemistry, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Igor Stagljar
- Donnelly Centre, University of Toronto, Toronto, Canada
- Department of Biochemistry, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
- Mediterranean Institute for Life Sciences, Split, Croatia
| | - Thierry LeBihan
- Synthetic and Systems Biology, University of Edinburgh, Edinburgh, UK
| | - Lisa Imrie
- Synthetic and Systems Biology, University of Edinburgh, Edinburgh, UK
| | - Priyanka Pillai
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
| | - Miriam A Lynn
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia
| | - Erik Fasterius
- School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Cristina Al-Khalili Szigyarto
- School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
- Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - James Breen
- School of Biological Sciences, University of Adelaide Bioinformatics Hub, Adelaide, SA, Australia
- Computational & Systems Biology Program, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Christina Kiel
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Conway Institute, University College Dublin, Dublin, Ireland
| | - Luis Serrano
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Nora Rauch
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | | | - Boris N Kholodenko
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
- Conway Institute, University College Dublin, Dublin, Ireland
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
| | | | - Colm J Ryan
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
- School of Computer Science, University College Dublin, Dublin, Ireland
| | - Ruth Pilkington
- Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | | | - Owen Sansom
- Cancer Research UK Beatson Institute, Glasgow, UK
- Institute of Cancer Studies, Glasgow University, Glasgow, UK
| | - Steven Shave
- School of Biological Sciences and School of Biomedical Sciences, University of Edinburgh, Edinburgh, UK
| | - Manfred Auer
- School of Biological Sciences and School of Biomedical Sciences, University of Edinburgh, Edinburgh, UK
| | - Nicola Horn
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
| | - Franziska Klose
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
| | - Marius Ueffing
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
| | - Karsten Boldt
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
| | - David J Lynn
- EMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, SA, 5000, Australia.
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, 5042, Australia.
| | - Walter Kolch
- Systems Biology Ireland, University College Dublin, Dublin, Ireland.
- Conway Institute, University College Dublin, Dublin, Ireland.
- School of Medicine, University College Dublin, Dublin, Ireland.
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10
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Harris KL, Myers MB, McKim KL, Elespuru RK, Parsons BL. Rationale and Roadmap for Developing Panels of Hotspot Cancer Driver Gene Mutations as Biomarkers of Cancer Risk. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2020; 61:152-175. [PMID: 31469467 PMCID: PMC6973253 DOI: 10.1002/em.22326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 08/23/2019] [Accepted: 08/26/2019] [Indexed: 05/24/2023]
Abstract
Cancer driver mutations (CDMs) are necessary and causal for carcinogenesis and have advantages as reporters of carcinogenic risk. However, little progress has been made toward developing measurements of CDMs as biomarkers for use in cancer risk assessment. Impediments for using a CDM-based metric to inform cancer risk include the complexity and stochastic nature of carcinogenesis, technical difficulty in quantifying low-frequency CDMs, and lack of established relationships between cancer driver mutant fractions and tumor incidence. Through literature review and database analyses, this review identifies the most promising targets to investigate as biomarkers of cancer risk. Mutational hotspots were discerned within the 20 most mutated genes across the 10 deadliest cancers. Forty genes were identified that encompass 108 mutational hotspot codons overrepresented in the COSMIC database; 424 different mutations within these hotspot codons account for approximately 63,000 tumors and their prevalence across tumor types is described. The review summarizes literature on the prevalence of CDMs in normal tissues and suggests such mutations are direct and indirect substrates for chemical carcinogenesis, which occurs in a spatially stochastic manner. Evidence that hotspot CDMs (hCDMs) frequently occur as tumor subpopulations is presented, indicating COSMIC data may underestimate mutation prevalence. Analyses of online databases show that genes containing hCDMs are enriched in functions related to intercellular communication. In its totality, the review provides a roadmap for the development of tissue-specific, CDM-based biomarkers of carcinogenic potential, comprised of batteries of hCDMs and can be measured by error-correct next-generation sequencing. Environ. Mol. Mutagen. 61:152-175, 2020. Published 2019. This article is a U.S. Government work and is in the public domain in the USA. Environmental and Molecular Mutagenesis published by Wiley Periodicals, Inc. on behalf of Environmental Mutagen Society.
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Affiliation(s)
- Kelly L. Harris
- Division of Genetic and Molecular ToxicologyNational Center for Toxicological Research, US Food and Drug AdministrationJeffersonArkansas
| | - Meagan B. Myers
- Division of Genetic and Molecular ToxicologyNational Center for Toxicological Research, US Food and Drug AdministrationJeffersonArkansas
| | - Karen L. McKim
- Division of Genetic and Molecular ToxicologyNational Center for Toxicological Research, US Food and Drug AdministrationJeffersonArkansas
| | - Rosalie K. Elespuru
- Division of Biology, Chemistry and Materials ScienceCDRH/OSEL, US Food and Drug AdministrationSilver SpringMaryland
| | - Barbara L. Parsons
- Division of Genetic and Molecular ToxicologyNational Center for Toxicological Research, US Food and Drug AdministrationJeffersonArkansas
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11
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Myers MB, McKim KL, Banda M, George NI, Parsons BL. Low-Frequency Mutational Heterogeneity of Invasive Ductal Carcinoma Subtypes: Information to Direct Precision Oncology. Int J Mol Sci 2019; 20:E1011. [PMID: 30813596 PMCID: PMC6429455 DOI: 10.3390/ijms20051011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 02/19/2019] [Accepted: 02/20/2019] [Indexed: 12/12/2022] Open
Abstract
Information regarding the role of low-frequency hotspot cancer-driver mutations (CDMs) in breast carcinogenesis and therapeutic response is limited. Using the sensitive and quantitative Allele-specific Competitor Blocker PCR (ACB-PCR) approach, mutant fractions (MFs) of six CDMs (PIK3CA H1047R and E545K, KRAS G12D and G12V, HRAS G12D, and BRAF V600E) were quantified in invasive ductal carcinomas (IDCs; including ~20 samples per subtype). Measurable levels (i.e., ≥ 1 × 10-5, the lowest ACB-PCR standard employed) of the PIK3CA H1047R, PIK3CA E545K, KRAS G12D, KRAS G12V, HRAS G12D, and BRAF V600E mutations were observed in 34/81 (42%), 29/81 (36%), 51/81 (63%), 9/81 (11%), 70/81 (86%), and 48/81 (59%) of IDCs, respectively. Correlation analysis using available clinicopathological information revealed that PIK3CA H1047R and BRAF V600E MFs correlate positively with maximum tumor dimension. Analysis of IDC subtypes revealed minor mutant subpopulations of critical genes in the MAP kinase pathway (KRAS, HRAS, and BRAF) were prevalent across IDC subtypes. Few triple-negative breast cancers (TNBCs) had appreciable levels of PIK3CA mutation, suggesting that individuals with TNBC may be less responsive to inhibitors of the PI3K/AKT/mTOR pathway. These results suggest that low-frequency hotspot CDMs contribute significantly to the intertumoral and intratumoral genetic heterogeneity of IDCs, which has the potential to impact precision oncology approaches.
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Affiliation(s)
- Meagan B Myers
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
| | - Karen L McKim
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
| | - Malathi Banda
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
| | - Nysia I George
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
| | - Barbara L Parsons
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
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12
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Modern conception of carcinogenesis creates opportunities to advance cancer risk assessment. CURRENT OPINION IN TOXICOLOGY 2018. [DOI: 10.1016/j.cotox.2018.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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13
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Mehrotra R, Tulsyan S, Hussain S, Mittal B, Singh Saluja S, Singh S, Tanwar P, Khan A, Javle M, Hassan MM, Pant S, De Aretxabala X, Sirohi B, Rajaraman P, Kaur T, Rath GK. Genetic landscape of gallbladder cancer: Global overview. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2018; 778:61-71. [PMID: 30454684 DOI: 10.1016/j.mrrev.2018.08.003] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/17/2018] [Accepted: 08/22/2018] [Indexed: 12/13/2022]
Abstract
Gallbladder cancer (GBC) is a rare malignancy of biliary tract cancer (BTC), characterized by late presentation and poor prognosis. It exhibits wide geographical as well as ethnical variations. So, diverse epidemiology along with etiological factors have been discussed in the current article. Present review unravels the germ line polymorphisms contributing to GBC susceptibility through candidate gene approach and GWAS. GBC is enriched with multiple mutations consisting of both passenger and driver mutations. The identification of the hotspot driver mutations which are involved in the etiopathogenesis of this cancer is necessary, before targeted therapies could be implemented clinically. Thus, this review sheds lights on both traditional low throughput methods along with high throughput NGS used to determine somatic mutations in cancer. With the advent of GWAS and high throughput sequencing methods, it is possible to comprehend the mutational landscape of this enigmatic disease. This article is the first one to provide insights into the genetic heterogeneity of GBC along with somatic mutational data from Catalogue of Somatic Mutations in Cancer (COSMIC) database. In addition, management of tumor heterogeneity as a therapeutic challenge has been discussed. Future goals involve liquid biopsy based research for better clinical management of the disease. Therefore, research efforts involving discovery of non- invasive markers for early stage cancer detection along with novel therapies should be directed.
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Affiliation(s)
- Ravi Mehrotra
- Division of Preventive Oncology, National Institute of Cancer Prevention and Research, Noida, India.
| | - Sonam Tulsyan
- Division of Preventive Oncology, National Institute of Cancer Prevention and Research, Noida, India
| | - Showket Hussain
- Division of Molecular Oncology, National Institute of Cancer Prevention and Research, Noida, India
| | - Balraj Mittal
- Department of Biotechnology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
| | - Sundeep Singh Saluja
- Department of Surgical Gastroenterology & Hepatology, GB Pant Hospital, New Delhi, India
| | - Sandeep Singh
- Clinical Epidemiology, Biostatics and Bioinformatics Academic Medical Center, Amsterdam, Netherlands
| | - Pranay Tanwar
- Laboratory Oncology Unit, Rotary Cancer Center, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Asiya Khan
- Laboratory Oncology Unit, Rotary Cancer Center, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Milind Javle
- Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, MD Anderson Cancer Centre, USA
| | - Manal M Hassan
- Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, MD Anderson Cancer Centre, USA
| | - Shubham Pant
- Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, MD Anderson Cancer Centre, USA
| | | | - Bhawna Sirohi
- New India Cancer Charity Initiative, Research and Education in Cancer and Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - Preetha Rajaraman
- U.S. Health Attache, India & Regional Representative, South Asia, Office of Global Affairs, DHHS, New Delhi, Delhi, India
| | | | - G K Rath
- Laboratory Oncology Unit, Rotary Cancer Center, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
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14
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Parsons BL. Multiclonal tumor origin: Evidence and implications. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2018; 777:1-18. [PMID: 30115427 DOI: 10.1016/j.mrrev.2018.05.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 04/11/2018] [Accepted: 05/05/2018] [Indexed: 12/31/2022]
Abstract
An accurate understanding of the clonal origins of tumors is critical for designing effective strategies to treat or prevent cancer and for guiding the field of cancer risk assessment. The intent of this review is to summarize evidence of multiclonal tumor origin and, thereby, contest the commonly held assumption of monoclonal tumor origin. This review describes relevant studies of X chromosome inactivation, analyses of tumor heterogeneity using other markers, single cell sequencing, and lineage tracing studies in aggregation chimeras and engineered rodent models. Methods for investigating tumor clonality have an inherent bias against detecting multiclonality. Despite this, multiclonality has been observed within all tumor stages and within 53 different types of tumors. For myeloid tumors, monoclonal tumor origin may be the predominant path to cancer and a monoclonal tumor origin cannot be ruled out for a fraction of other cancer types. Nevertheless, a large body of evidence supports the conclusion that most cancers are multiclonal in origin. Cooperation between different cell types and between clones of cells carrying different genetic and/or epigenetic lesions is discussed, along with how polyclonal tumor origin can be integrated with current perspectives on the genesis of tumors. In order to develop biologically sound and useful approaches to cancer risk assessment and precision medicine, mathematical models of carcinogenesis are needed, which incorporate multiclonal tumor origin and the contributions of spontaneous mutations in conjunction with the selective advantages conferred by particular mutations and combinations of mutations. Adherence to the idea that a growth must develop from a single progenitor cell to be considered neoplastic has outlived its usefulness. Moving forward, explicit examination of tumor clonality, using advanced tools, like lineage tracing models, will provide a strong foundation for future advances in clinical oncology and better training for the next generation of oncologists and pathologists.
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Affiliation(s)
- Barbara L Parsons
- US Food and Drug Administration, National Center for Toxicological Research, Division of Genetic and Molecular Toxicology, 3900 NCTR Rd., Jefferson, AR 72079, United States.
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15
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Zhou Y, Xia L, Wang H, Oyang L, Su M, Liu Q, Lin J, Tan S, Tian Y, Liao Q, Cao D. Cancer stem cells in progression of colorectal cancer. Oncotarget 2017; 9:33403-33415. [PMID: 30279970 PMCID: PMC6161799 DOI: 10.18632/oncotarget.23607] [Citation(s) in RCA: 154] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 11/05/2017] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer is one of the most common cancers worldwide with high mortality. Distant metastasis and relapse are major causes of patient death. Cancer stem cells (CSCs) play a critical role in the metastasis and relapse of colorectal cancer. CSCs are a subpopulation of cancer cells with unique properties of self-renewal, infinite division and multi-directional differentiation potential. Colorectal CSCs are defined with a group of cell surface markers, such as CD44, CD133, CD24, EpCAM, LGR5 and ALDH. They are highly tumorigenic, chemoresistant and radioresistant and thus are critical in the metastasis and recurrence of colorectal cancer and disease-free survival. This review article updates the colorectal CSCs with a focus on their role in tumor initiation, progression, drug resistance and tumor relapse.
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Affiliation(s)
- Yujuan Zhou
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Longzheng Xia
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Heran Wang
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Linda Oyang
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Min Su
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Qiang Liu
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Jingguan Lin
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Shiming Tan
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Yutong Tian
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Qianjin Liao
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Deliang Cao
- Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China.,Department of Medical Microbiology, Immunology & Cell Biology, Simmons Cancer Institute, Southern Illinois University School of Medicine, Springfield, IL, 62794, USA
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