1
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Guo X, Bian X, Li Y, Zhu X, Zhou X. The intricate dance of tumor evolution: Exploring immune escape, tumor migration, drug resistance, and treatment strategies. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167098. [PMID: 38412927 DOI: 10.1016/j.bbadis.2024.167098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/14/2024] [Accepted: 02/19/2024] [Indexed: 02/29/2024]
Abstract
Recent research has unveiled fascinating insights into the intricate mechanisms governing tumor evolution. These studies have illuminated how tumors adapt and proliferate by exploiting various factors, including immune evasion, resistance to therapeutic drugs, genetic mutations, and their ability to adapt to different environments. Furthermore, investigations into tumor heterogeneity and chromosomal aberrations have revealed the profound complexity that underlies the evolution of cancer. Emerging findings have also underscored the role of viral influences in the development and progression of cancer, introducing an additional layer of complexity to the field of oncology. Tumor evolution is a dynamic and complex process influenced by various factors, including immune evasion, drug resistance, tumor heterogeneity, and viral influences. Understanding these elements is indispensable for developing more effective treatments and advancing cancer therapies. A holistic approach to studying and addressing tumor evolution is crucial in the ongoing battle against cancer. The main goal of this comprehensive review is to explore the intricate relationship between tumor evolution and critical aspects of cancer biology. By delving into this complex interplay, we aim to provide a profound understanding of how tumors evolve, adapt, and respond to treatment strategies. This review underscores the pivotal importance of comprehending tumor evolution in shaping effective approaches to cancer treatment.
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Affiliation(s)
- Xiaojun Guo
- Department of Immunology, School of Medicine, Nantong University, Nantong, China; The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China
| | - Xiaonan Bian
- Department of Immunology, School of Medicine, Nantong University, Nantong, China
| | - Yitong Li
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China
| | - Xiao Zhu
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China.
| | - Xiaorong Zhou
- Department of Immunology, School of Medicine, Nantong University, Nantong, China.
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2
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Swanton C, Bernard E, Abbosh C, André F, Auwerx J, Balmain A, Bar-Sagi D, Bernards R, Bullman S, DeGregori J, Elliott C, Erez A, Evan G, Febbraio MA, Hidalgo A, Jamal-Hanjani M, Joyce JA, Kaiser M, Lamia K, Locasale JW, Loi S, Malanchi I, Merad M, Musgrave K, Patel KJ, Quezada S, Wargo JA, Weeraratna A, White E, Winkler F, Wood JN, Vousden KH, Hanahan D. Embracing cancer complexity: Hallmarks of systemic disease. Cell 2024; 187:1589-1616. [PMID: 38552609 DOI: 10.1016/j.cell.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/25/2024] [Accepted: 02/08/2024] [Indexed: 04/02/2024]
Abstract
The last 50 years have witnessed extraordinary developments in understanding mechanisms of carcinogenesis, synthesized as the hallmarks of cancer. Despite this logical framework, our understanding of the molecular basis of systemic manifestations and the underlying causes of cancer-related death remains incomplete. Looking forward, elucidating how tumors interact with distant organs and how multifaceted environmental and physiological parameters impinge on tumors and their hosts will be crucial for advances in preventing and more effectively treating human cancers. In this perspective, we discuss complexities of cancer as a systemic disease, including tumor initiation and promotion, tumor micro- and immune macro-environments, aging, metabolism and obesity, cancer cachexia, circadian rhythms, nervous system interactions, tumor-related thrombosis, and the microbiome. Model systems incorporating human genetic variation will be essential to decipher the mechanistic basis of these phenomena and unravel gene-environment interactions, providing a modern synthesis of molecular oncology that is primed to prevent cancers and improve patient quality of life and cancer outcomes.
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Affiliation(s)
- Charles Swanton
- The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Elsa Bernard
- The Francis Crick Institute, London, UK; INSERM U981, Gustave Roussy, Villejuif, France
| | | | - Fabrice André
- INSERM U981, Gustave Roussy, Villejuif, France; Department of Medical Oncology, Gustave Roussy, Villejuif, France; Paris Saclay University, Kremlin-Bicetre, France
| | - Johan Auwerx
- Laboratory of Integrative Systems Physiology, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Allan Balmain
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA
| | | | - René Bernards
- Division of Molecular Carcinogenesis, Oncode Institute, the Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Susan Bullman
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Ayelet Erez
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gerard Evan
- The Francis Crick Institute, London, UK; Kings College London, London, UK
| | - Mark A Febbraio
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Andrés Hidalgo
- Department of Immunobiology, Yale University, New Haven, CT 06519, USA; Area of Cardiovascular Regeneration, Centro Nacional de Investigaciones Cardiovasculares, 28029 Madrid, Spain
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Johanna A Joyce
- Department of Oncology, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
| | | | - Katja Lamia
- Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA, USA
| | - Jason W Locasale
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA; Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, USA
| | - Sherene Loi
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; The Sir Department of Medical Oncology, The University of Melbourne, Parkville, VIC, Australia
| | | | - Miriam Merad
- Department of immunology and immunotherapy, Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathryn Musgrave
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK; Department of Haematology, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Ketan J Patel
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Sergio Quezada
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Jennifer A Wargo
- Department of Surgical Oncology, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashani Weeraratna
- Sidney Kimmel Cancer Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eileen White
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA; Ludwig Princeton Branch, Ludwig Institute for Cancer Research, Princeton, NJ, USA
| | - Frank Winkler
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany; Clinical Cooperation Unit Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John N Wood
- Molecular Nociception Group, WIBR, University College London, London, UK
| | | | - Douglas Hanahan
- Lausanne Branch, Ludwig Institute for Cancer Research, Lausanne, Switzerland; Swiss institute for Experimental Cancer Research (ISREC), EPFL, Lausanne, Switzerland; Agora Translational Cancer Research Center, Lausanne, Switzerland.
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3
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Pham-Danis C, Chia SB, Scarborough HA, Danis E, Nemkov T, Kleczko EK, Navarro A, Goodspeed A, Bonney EA, Dinarello CA, Marchetti C, Nemenoff RA, Hansen K, DeGregori J. Inflammation promotes aging-associated oncogenesis in the lung. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.01.583044. [PMID: 38496448 PMCID: PMC10942386 DOI: 10.1101/2024.03.01.583044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Background Lung cancer is the leading cause of cancer death in the world. While cigarette smoking is the major preventable factor for cancers in general and lung cancer in particular, old age is also a major risk factor. Aging-related chronic, low-level inflammation, termed inflammaging, has been widely documented; however, it remains unclear how inflammaging contributes to increased lung cancer incidence. Aim: To establish connections between aging-associated changes in the lungs and cancer risk. Methods We analyzed public databases of gene expression for normal and cancerous human lungs and used mouse models to understand which changes were dependent on inflammation, as well as to assess the impact on oncogenesis. Results Analyses of GTEx and TCGA databases comparing gene expression profiles from normal lungs, lung adenocarcinoma, lung squamous cell carcinoma of subjects across age groups revealed upregulated pathways such as inflammatory response, TNFA signaling via NFκB, and interferon-gamma response. Similar pathways were identified comparing the gene expression profiles of young and old mouse lungs. Transgenic expression of alpha 1 antitrypsin (AAT) partially reverses increases in markers of aging-associated inflammation and immune deregulation. Using an orthotopic model of lung cancer using cells derived from EML4-ALK fusion-induced adenomas, we demonstrated an increased tumor outgrowth in lungs of old mice while NLRP3 knockout in old mice decreased tumor volumes, suggesting that inflammation contributes to increased lung cancer development in aging organisms. Conclusions These studies reveal how expression of an anti-inflammatory mediator (AAT) can reduce some but not all aging-associated changes in mRNA and protein expression in the lungs. We further show that aging is associated with increased tumor outgrowth in the lungs, which may relate to an increased inflammatory microenvironment.
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Affiliation(s)
- Catherine Pham-Danis
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Shi B Chia
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Hannah A Scarborough
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Etienne Danis
- Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Travis Nemkov
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Emily K Kleczko
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Andre Navarro
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Andrew Goodspeed
- Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Elizabeth A. Bonney
- Department of Obstetrics, Gynecology and Reproductive Sciences, Larner College of Medicine, University of Vermont, Burlington, VT, United States
| | - Charles A. Dinarello
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Carlo Marchetti
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Raphael A. Nemenoff
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kirk Hansen
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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4
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Szasz A. Peto's "Paradox" and Six Degrees of Cancer Prevalence. Cells 2024; 13:197. [PMID: 38275822 PMCID: PMC10814230 DOI: 10.3390/cells13020197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/15/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024] Open
Abstract
Peto's paradox and the epidemiologic observation of the average six degrees of tumor prevalence are studied and hypothetically solved. A simple consideration, Petho's paradox challenges our intuitive understanding of cancer risk and prevalence. Our simple consideration is that the more a cell divides, the higher the chance of acquiring cancerous mutations, and so the larger or longer-lived organisms have more cells and undergo more cell divisions over their lifetime, expecting to have a higher risk of developing cancer. Paradoxically, it is not supported by the observations. The allometric scaling of species could answer the Peto paradox. Another paradoxical human epidemiology observation in six average mutations is necessary for cancer prevalence, despite the random expectations of the tumor causes. To solve this challenge, game theory could be applied. The inherited and random DNA mutations in the replication process nonlinearly drive cancer development. The statistical variance concept does not reasonably describe tumor development. Instead, the Darwinian natural selection principle is applied. The mutations in the healthy organism's cellular population can serve the species' evolutionary adaptation by the selective pressure of the circumstances. Still, some cells collect multiple uncorrected mutations, adapt to the extreme stress in the stromal environment, and develop subclinical phases of cancer in the individual. This process needs extensive subsequent DNA replications to heritage and collect additional mutations, which are only marginal alone. Still, together, they are preparing for the first stage of the precancerous condition. In the second stage, when one of the caretaker genes is accidentally mutated, the caused genetic instability prepares the cell to fight for its survival and avoid apoptosis. This can be described as a competitive game. In the third stage, the precancerous cell develops uncontrolled proliferation with the damaged gatekeeper gene and forces the new game strategy with binary cooperation with stromal cells for alimentation. In the fourth stage, the starving conditions cause a game change again, starting a cooperative game, where the malignant cells cooperate and force the cooperation of the stromal host, too. In the fifth stage, the resetting of homeostasis finishes the subclinical stage, and in the fifth stage, the clinical phase starts. The prevention of the development of mutated cells is more complex than averting exposure to mutagens from the environment throughout the organism's lifetime. Mutagenic exposure can increase the otherwise random imperfect DNA reproduction, increasing the likelihood of cancer development, but mutations exist. Toxic exposure is more challenging; it may select the tolerant cells on this particular toxic stress, so these mutations have more facility to avoid apoptosis in otherwise collected random mutational states.
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Affiliation(s)
- Andras Szasz
- Department of Biotechnics, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary
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5
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Weeks LD, Ebert BL. Causes and consequences of clonal hematopoiesis. Blood 2023; 142:2235-2246. [PMID: 37931207 PMCID: PMC10862247 DOI: 10.1182/blood.2023022222] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/25/2023] [Accepted: 10/25/2023] [Indexed: 11/08/2023] Open
Abstract
ABSTRACT Clonal hematopoiesis (CH) is described as the outsized contribution of expanded clones of hematopoietic stem and progenitor cells (HSPCs) to blood cell production. The prevalence of CH increases dramatically with age. CH can be caused by somatic mutations in individual genes or by gains and/or losses of larger chromosomal segments. CH is a premalignant state; the somatic mutations detected in CH are the initiating mutations for hematologic malignancies, and CH is a strong predictor of the development of blood cancers. Moreover, CH is associated with nonmalignant disorders and increased overall mortality. The somatic mutations that drive clonal expansion of HSPCs can alter the function of terminally differentiated blood cells, including the release of elevated levels of inflammatory cytokines. These cytokines may then contribute to a broad range of inflammatory disorders that increase in prevalence with age. Specific somatic mutations in the peripheral blood in coordination with blood count parameters can powerfully predict the development of hematologic malignancies and overall mortality in CH. In this review, we summarize the current understanding of CH nosology and origins. We provide an overview of available tools for risk stratification and discuss management strategies for patients with CH presenting to hematology clinics.
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Affiliation(s)
- Lachelle D. Weeks
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Benjamin L. Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Howard Hughes Medical Institute, Boston, MA
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6
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Fisher GJ, Wang B, Cui Y, Shi M, Zhao Y, Quan T, Voorhees JJ. Skin aging from the perspective of dermal fibroblasts: the interplay between the adaptation to the extracellular matrix microenvironment and cell autonomous processes. J Cell Commun Signal 2023; 17:523-529. [PMID: 37067763 PMCID: PMC10409944 DOI: 10.1007/s12079-023-00743-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 03/10/2023] [Indexed: 04/18/2023] Open
Abstract
This article summarizes important molecular mechanisms that drive aging in human skin from the perspective of dermal fibroblasts. The dermis comprises the bulk of the skin and is largely composed of a collagen-rich extracellular matrix (ECM). The dermal ECM provides mechanical strength, resiliency, and an environment that supports the functions of ibroblasts and other types of dermal cells. Fibroblasts produce the dermal ECM and maintain its homeostasis. Fibroblasts attach to the ECM and this attachment controls their morphology and function. During aging, the ECM undergoes gradual degradation that is nitiated by matrix metalloproteinases (MMPs). This degradation alters mechanical forces within the dermal ECM and disrupts he interactions between fibroblasts and the ECM thereby generating an aged fibroblast phenotype. This aged fibroblast phenotype is characterized by collapsed morphology, altered mechanosignaling, induction of CCN1, and activation of transcription factor AP-1, with consequent upregulation of target genes including MMPs and pro-inflammatory mediators. The TGF-beta pathway coordinately regulates ECM production and turnover. Altered mechanical forces, due to ECM fragmentation, down-regulate the type II TGF-beta receptor, thereby reducing ECM production and further increasing ECM breakdown. Thus, dermal aging involves a feed-forward process that reinforces the aged dermal fibroblast phenotype and promotes age-related dermal ECM deterioration. As discussed in the article, the expression of the aged dermal fibroblast phenotype involves both adaptive and cell-autonomous mechanisms.
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Affiliation(s)
- Gary J Fisher
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA.
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.
| | - Bo Wang
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yilei Cui
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Mai Shi
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yi Zhao
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Taihao Quan
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - John J Voorhees
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Department of Dermatology, Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
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7
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Yu W, Gargett T, Du Z. A Poisson distribution-based general model of cancer rates and a cancer risk-dependent theory of aging. Aging (Albany NY) 2023; 15:8537-8551. [PMID: 37659107 PMCID: PMC10522393 DOI: 10.18632/aging.205016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/20/2023] [Indexed: 09/04/2023]
Abstract
This article presents a formula for modeling the lifetime incidence of cancer in humans. The formula utilizes a Poisson distribution-based "np" model to predict cancer incidence, with "n" representing the effective number of cell turnover and "p" representing the probability of single-cell transformation. The model accurately predicts the observed incidence of cancer in humans when a reduction in cell turnover due to aging is taken into account. The model also suggests that cancer development is ultimately inevitable. The article proposes a theory of aging based on this concept, called the "np" theory. According to this theory, an organism maintains its order by balancing cellular entropy through continuous proliferation. However, cellular "information entropy" in the form of accumulated DNA mutations increases irreversibly over time, restricting the total number of cells an organism can generate throughout its lifetime. When cell division slows down and fails to compensate for the increased entropy in the system, aging occurs. Essentially, aging is the phenomenon of running out of predetermined cell resources. Different species have evolved separate strategies to utilize their limited cell resources throughout their life cycle.
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Affiliation(s)
- Wenbo Yu
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
- School of Medicine, The University of Adelaide, Adelaide, SA, Australia
| | - Tessa Gargett
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
- School of Medicine, The University of Adelaide, Adelaide, SA, Australia
| | - Zhenglong Du
- Department of Molecular and Biomedical Science, School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia
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8
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Dragani TA, Muley T, Schneider MA, Kobinger S, Eichhorn M, Winter H, Hoffmann H, Kriegsmann M, Noci S, Incarbone M, Tosi D, Franzi S, Colombo F. Lung Adenocarcinoma Diagnosed at a Younger Age Is Associated with Advanced Stage, Female Sex, and Ever-Smoker Status, in Patients Treated with Lung Resection. Cancers (Basel) 2023; 15:cancers15082395. [PMID: 37190323 DOI: 10.3390/cancers15082395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/06/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
To date, the factors which affect the age at diagnosis of lung adenocarcinoma are not fully understood. In our study, we examined the relationships of age at diagnosis with smoking, pathological stage, sex, and year of diagnosis in a discovery (n = 1694) and validation (n = 1384) series of lung adenocarcinoma patients who had undergone pulmonary resection at hospitals in the Milan area and at Thoraxklinik (Heidelberg), respectively. In the discovery series, younger age at diagnosis was associated with ever-smoker status (OR = 1.5, p = 0.0035) and advanced stage (taking stage I as reference: stage III OR = 1.4, p = 0.0067; stage IV OR = 1.7, p = 0.0080), whereas older age at diagnosis was associated with male sex (OR = 0.57, p < 0.001). Analysis in the validation series confirmed the ever versus never smokers' association (OR = 2.9, p < 0.001), the association with highest stages (stage III versus stage I OR = 1.4, p = 0.0066; stage IV versus stage I OR = 2.0, p = 0.0022), and the male versus female sex association (OR = 0.78, p = 0.032). These data suggest the role of smoking in affecting the natural history of the disease. Moreover, aggressive tumours seem to have shorter latency from initiation to clinical detection. Finally, younger age at diagnosis is associated with the female sex, suggesting that hormonal status of young women confers risk to develop lung adenocarcinoma. Overall, this study provided novel findings on the mechanisms underlying age at diagnosis of lung adenocarcinoma.
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Affiliation(s)
- Tommaso A Dragani
- Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Thomas Muley
- Translational Research Unit (STF), Thoraxklinik, Heidelberg University Hospital, 69126 Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Marc A Schneider
- Translational Research Unit (STF), Thoraxklinik, Heidelberg University Hospital, 69126 Heidelberg, Germany
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
| | - Sonja Kobinger
- Department of Thoracic Surgery, Thoraxklinik, Heidelberg University Hospital, 69126 Heidelberg, Germany
| | - Martin Eichhorn
- Department of Thoracic Surgery, Thoraxklinik, Heidelberg University Hospital, 69126 Heidelberg, Germany
| | - Hauke Winter
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
- Department of Thoracic Surgery, Thoraxklinik, Heidelberg University Hospital, 69126 Heidelberg, Germany
| | - Hans Hoffmann
- Department of Thoracic Surgery, Klinikum Rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Mark Kriegsmann
- Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), 69120 Heidelberg, Germany
- Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Sara Noci
- Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Matteo Incarbone
- Department of Surgery, IRCCS Multimedica, 20099 Sesto San Giovanni, Italy
| | - Davide Tosi
- Thoracic Surgery and Lung Transplantation, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Sara Franzi
- Thoracic Surgery and Lung Transplantation, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Francesca Colombo
- Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
- Institute for Biomedical Technologies, CNR, 20054 Segrate, Italy
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9
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Network location and clustering of genetic mutations determine chronicity in a stylized model of genetic diseases. Sci Rep 2022; 12:19906. [PMID: 36402799 PMCID: PMC9675813 DOI: 10.1038/s41598-022-23775-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 11/04/2022] [Indexed: 11/20/2022] Open
Abstract
In a highly simplified view, a disease can be seen as the phenotype emerging from the interplay of genetic predisposition and fluctuating environmental stimuli. We formalize this situation in a minimal model, where a network (representing cellular regulation) serves as an interface between an input layer (representing environment) and an output layer (representing functional phenotype). Genetic predisposition for a disease is represented as a loss of function of some network nodes. Reduced, but non-zero, output indicates disease. The simplicity of this genetic disease model and its deep relationship to percolation theory allows us to understand the interplay between disease, network topology and the location and clusters of affected network nodes. We find that our model generates two different characteristics of diseases, which can be interpreted as chronic and acute diseases. In its stylized form, our model provides a new view on the relationship between genetic mutations and the type and severity of a disease.
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10
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Pond KW, Morris JM, Alkhimenok O, Varghese RP, Cabel CR, Ellis NA, Chakrabarti J, Zavros Y, Merchant JL, Thorne CA, Paek AL. Live-cell imaging in human colonic monolayers reveals ERK waves limit the stem cell compartment to maintain epithelial homeostasis. eLife 2022; 11:e78837. [PMID: 36094159 PMCID: PMC9499537 DOI: 10.7554/elife.78837] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/11/2022] [Indexed: 11/13/2022] Open
Abstract
The establishment and maintenance of different cellular compartments in tissues is a universal requirement across all metazoans. Maintaining the correct ratio of cell types in time and space allows tissues to form patterned compartments and perform complex functions. Patterning is especially evident in the human colon, where tissue homeostasis is maintained by stem cells in crypt structures that balance proliferation and differentiation. Here, we developed a human 2D patient derived organoid screening platform to study tissue patterning and kinase pathway dynamics in single cells. Using this system, we discovered that waves of ERK signaling induced by apoptotic cells play a critical role in maintaining tissue patterning and homeostasis. If ERK is activated acutely across all cells instead of in wave-like patterns, then tissue patterning and stem cells are lost. Conversely, if ERK activity is inhibited, then stem cells become unrestricted and expand dramatically. This work demonstrates that the colonic epithelium requires coordinated ERK signaling dynamics to maintain patterning and tissue homeostasis. Our work reveals how ERK can antagonize stem cells while supporting cell replacement and the function of the gut.
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Affiliation(s)
- Kelvin W Pond
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- Department of Molecular and Cellular Biology, The University of ArizonaTucsonUnited States
- University of Arizona Cancer CenterTucsonUnited States
| | - Julia M Morris
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
| | - Olga Alkhimenok
- Department of Molecular and Cellular Biology, The University of ArizonaTucsonUnited States
| | - Reeba P Varghese
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- Cancer Biology Graduate Interdisciplinary Program, University of ArizonaTucsonUnited States
| | - Carly R Cabel
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- Cancer Biology Graduate Interdisciplinary Program, University of ArizonaTucsonUnited States
| | - Nathan A Ellis
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- University of Arizona Cancer CenterTucsonUnited States
| | - Jayati Chakrabarti
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
| | - Yana Zavros
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- University of Arizona Cancer CenterTucsonUnited States
| | | | - Curtis A Thorne
- Department of Cellular and Molecular Medicine, University of ArizonaTucsonUnited States
- University of Arizona Cancer CenterTucsonUnited States
| | - Andrew L Paek
- Department of Molecular and Cellular Biology, The University of ArizonaTucsonUnited States
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11
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Rashed WM, Marcotte EL, Spector LG. Germline De Novo Mutations as a Cause of Childhood Cancer. JCO Precis Oncol 2022; 6:e2100505. [PMID: 35820085 DOI: 10.1200/po.21.00505] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Germline de novo mutations (DNMs) represent one of the important topics that need extensive attention from epidemiologists, geneticists, and other relevant stakeholders. Advances in next-generation sequencing technologies allowed examination of parent-offspring trios to ascertain the frequency of germline DNMs. Many epidemiological risk factors for childhood cancer are indicative of DNMs as a mechanism. The aim of this review was to give an overview of germline DNMs, their causes in general, and to discuss their relation to childhood cancer risk. In addition, we highlighted existing gaps in knowledge in many topics of germline DNMs in childhood cancer that need exploration and collaborative efforts.
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Affiliation(s)
- Wafaa M Rashed
- Research Department, Children's Cancer Hospital-Egypt 57357 (CCHE-57357), Cairo, Egypt
| | - Erin L Marcotte
- Division of Epidemiology/Clinical, Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Logan G Spector
- Division of Epidemiology/Clinical, Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN
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12
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Sarver AL, Makielski KM, DePauw TA, Schulte AJ, Modiano JF. Increased risk of cancer in dogs and humans: a consequence of recent extension of lifespan beyond evolutionarily-determined limitations? AGING AND CANCER 2022; 3:3-19. [PMID: 35993010 PMCID: PMC9387675 DOI: 10.1002/aac2.12046] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cancer is among the most common causes of death for dogs (and cats) and humans in the developed world, even though it is uncommon in wildlife and other domestic animals. We provide a rationale for this observation based on recent advances in our understanding of the evolutionary basis of cancer. Over the course of evolutionary time, species have acquired and fine-tuned adaptive cancer protective mechanisms that are intrinsically related to their energy demands, reproductive strategies, and expected lifespan. These cancer protective mechanisms are general across species and/or specific to each species and their niche, and they do not seem to be limited in diversity. The evolutionarily acquired cancer-free longevity that defines a species' life history can explain why the relative cancer risk, rate, and incidence are largely similar across most species in the animal kingdom despite differences in body size and life expectancy. The molecular, cellular, and metabolic events that promote malignant transformation and cancerous growth can overcome these adaptive, species-specific protective mechanisms in a small proportion of individuals, while independently, some individuals in the population might achieve exceptional longevity. In dogs and humans, recent dramatic alterations in healthcare and social structures have allowed increasing numbers of individuals in both species to far exceed their species-adapted longevities (by 2-4 times) without allowing the time necessary for compensatory natural selection. In other words, the cancer protective mechanisms that restrain risk at comparable levels to other species for their adapted lifespan are incapable of providing cancer protection over this recent, drastic and widespread increase in longevity.
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Affiliation(s)
- Aaron L. Sarver
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN,Institute for Health Informatics, University of Minnesota, Minneapolis, MN,Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN
| | - Kelly M. Makielski
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN,Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN
| | - Taylor A DePauw
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN,Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN
| | - Ashley J. Schulte
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN,Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN
| | - Jaime F. Modiano
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN,Animal Cancer Care and Research Program, University of Minnesota, St. Paul, MN,Department of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN,Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN,Center for Immunology, University of Minnesota, Minneapolis, MN,Stem Cell Institute, University of Minnesota, Minneapolis, MN,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN
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13
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Zhao Y, Seluanov A, Gorbunova V. Revelations About Aging and Disease from Unconventional Vertebrate Model Organisms. Annu Rev Genet 2021; 55:135-159. [PMID: 34416119 DOI: 10.1146/annurev-genet-071719-021009] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Aging is a major risk factor for multiple diseases. Understanding the underlying mechanisms of aging would help to delay and prevent age-associated diseases. Short-lived model organisms have been extensively used to study the mechanisms of aging. However, these short-lived species may be missing the longevity mechanisms that are needed to extend the lifespan of an already long-lived species such as humans. Unconventional long-lived animal species are an excellent resource to uncover novel mechanisms of longevity and disease resistance. Here, we review mechanisms that evolved in nonmodel vertebrate species to counteract age-associated diseases. Some antiaging mechanisms are conserved across species; however, various nonmodel species also evolved unique mechanisms to delay aging and prevent disease. This variety of antiaging mechanisms has evolved due to the remarkably diverse habitats and behaviors of these species. We propose that exploring a wider range of unconventional vertebrates will provide important resources to study antiaging mechanisms that are potentially applicable to humans.
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Affiliation(s)
- Yang Zhao
- Department of Biology, University of Rochester, Rochester, New York 14627, USA; ,
| | - Andrei Seluanov
- Department of Biology, University of Rochester, Rochester, New York 14627, USA; ,
| | - Vera Gorbunova
- Department of Biology, University of Rochester, Rochester, New York 14627, USA; ,
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14
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Swiatczak B. Struggle within: evolution and ecology of somatic cell populations. Cell Mol Life Sci 2021; 78:6797-6806. [PMID: 34477897 PMCID: PMC11073125 DOI: 10.1007/s00018-021-03931-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/31/2021] [Accepted: 08/25/2021] [Indexed: 12/19/2022]
Abstract
The extent to which normal (nonmalignant) cells of the body can evolve through mutation and selection during the lifetime of the organism has been a major unresolved issue in evolutionary and developmental studies. On the one hand, stable multicellular individuality seems to depend on genetic homogeneity and suppression of evolutionary conflicts at the cellular level. On the other hand, the example of clonal selection of lymphocytes indicates that certain forms of somatic mutation and selection are concordant with the organism-level fitness. Recent DNA sequencing and tissue physiology studies suggest that in addition to adaptive immune cells also neurons, epithelial cells, epidermal cells, hematopoietic stem cells and functional cells in solid bodily organs are subject to evolutionary forces during the lifetime of an organism. Here we refer to these recent studies and suggest that the expanding list of somatically evolving cells modifies idealized views of biological individuals as radically different from collectives.
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Affiliation(s)
- Bartlomiej Swiatczak
- Department of History of Science and Scientific Archeology, University of Science and Technology of China, 96 Jinzhai Rd., Hefei, 230026, China.
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15
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Belikov AV, Vyatkin A, Leonov SV. The Erlang distribution approximates the age distribution of incidence of childhood and young adulthood cancers. PeerJ 2021; 9:e11976. [PMID: 34434669 PMCID: PMC8351573 DOI: 10.7717/peerj.11976] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/24/2021] [Indexed: 11/20/2022] Open
Abstract
Background It is widely believed that cancers develop upon acquiring a particular number of (epi) mutations in driver genes, but the law governing the kinetics of this process is not known. We have previously shown that the age distribution of incidence for the 20 most prevalent cancers of old age is best approximated by the Erlang probability distribution. The Erlang distribution describes the probability of several successive random events occurring by the given time according to the Poisson process, which allows an estimate for the number of critical driver events. Methods Here we employ a computational grid search method to find global parameter optima for five probability distributions on the CDC WONDER dataset of the age distribution of childhood and young adulthood cancer incidence. Results We show that the Erlang distribution is the only classical probability distribution we found that can adequately model the age distribution of incidence for all studied childhood and young adulthood cancers, in addition to cancers of old age. Conclusions This suggests that the Poisson process governs driver accumulation at any age and that the Erlang distribution can be used to determine the number of driver events for any cancer type. The Poisson process implies the fundamentally random timing of driver events and their constant average rate. As waiting times for the occurrence of the required number of driver events are counted in decades, and most cells do not live this long, it suggests that driver mutations accumulate silently in the longest-living dividing cells in the body—the stem cells.
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Affiliation(s)
- Aleksey V Belikov
- Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Moscow, Russia
| | - Alexey Vyatkin
- Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Moscow, Russia
| | - Sergey V Leonov
- Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, Moscow, Russia
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16
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Guo J, Zhou Y, Xu C, Chen Q, Sztupinszki Z, Börcsök J, Xu C, Ye F, Tang W, Kang J, Yang L, Zhong J, Zhong T, Hu T, Yu R, Szallasi Z, Deng X, Li Q. Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers. Cancer Res 2021; 81:4205-4217. [PMID: 34215622 PMCID: PMC9662923 DOI: 10.1158/0008-5472.can-21-0086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/21/2021] [Accepted: 06/29/2021] [Indexed: 01/07/2023]
Abstract
The somatic landscape of the cancer genome results from different mutational processes represented by distinct "mutational signatures." Although several mutagenic mechanisms are known to cause specific mutational signatures in cell lines, the variation of somatic mutational activities in patients, which is mostly attributed to somatic selection, is still poorly explained. Here, we introduce a quantitative trait, mutational propensity (MP), and describe an integrated method to infer genetic determinants of variations in the mutational processes in 3,566 cancers with specific underlying mechanisms. As a result, we report 2,314 candidate determinants with both significant germline and somatic effects on somatic selection of mutational processes, of which, 485 act via cancer gene expression and 1,427 act through the tumor-immune microenvironment. These data demonstrate that the genetic determinants of MPs provide complementary information to known cancer driver genes, clonal evolution, and clinical biomarkers. SIGNIFICANCE: The genetic determinants of the somatic mutational processes in cancer elucidate the biology underlying somatic selection and evolution of cancers and demonstrate complementary predictive power across cancer types.
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Affiliation(s)
- Jintao Guo
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Ying Zhou
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Chaoqun Xu
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Qinwei Chen
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | | | - Judit Börcsök
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Canqiang Xu
- XMU-Aginome Joint Lab, School of Informatics, Xiamen University, Xiamen, China
| | - Feng Ye
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.,Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, Fujian, China.,Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Weiwei Tang
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.,Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, Fujian, China.,Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jiapeng Kang
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.,Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, Fujian, China.,Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Lu Yang
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.,Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, Fujian, China.,Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jiaxin Zhong
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Taoling Zhong
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Tianhui Hu
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Rongshan Yu
- XMU-Aginome Joint Lab, School of Informatics, Xiamen University, Xiamen, China
| | - Zoltan Szallasi
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts
| | - Xianming Deng
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Xiamen University, Xiamen, China
| | - Qiyuan Li
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.,Department of hematology, School of Medicine, Xiamen University, Xiamen, China.,Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China.,Corresponding Author: Qiyuan Li, School of Medicine, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China. Phone: 8659-2218-5175; E-mail:
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17
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Hormaechea-Agulla D, Matatall KA, Le DT, Kain B, Long X, Kus P, Jaksik R, Challen GA, Kimmel M, King KY. Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling. Cell Stem Cell 2021; 28:1428-1442.e6. [PMID: 33743191 PMCID: PMC8349829 DOI: 10.1016/j.stem.2021.03.002] [Citation(s) in RCA: 159] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 01/08/2021] [Accepted: 02/25/2021] [Indexed: 02/06/2023]
Abstract
Age-related clonal hematopoiesis (CH) is a risk factor for malignancy, cardiovascular disease, and all-cause mortality. Somatic mutations in DNMT3A are drivers of CH, but decades may elapse between the acquisition of a mutation and CH, suggesting that environmental factors contribute to clonal expansion. We tested whether infection provides selective pressure favoring the expansion of Dnmt3a mutant hematopoietic stem cells (HSCs) in mouse chimeras. We created Dnmt3a-mosaic mice by transplanting Dnmt3a-/- and WT HSCs into WT mice and observed the substantial expansion of Dnmt3a-/- HSCs during chronic mycobacterial infection. Injection of recombinant IFNγ alone was sufficient to phenocopy CH by Dnmt3a-/- HSCs upon infection. Transcriptional and epigenetic profiling and functional studies indicate reduced differentiation associated with widespread methylation alterations, and reduced secondary stress-induced apoptosis accounts for Dnmt3a-/- clonal expansion during infection. DNMT3A mutant human HSCs similarly exhibit defective IFNγ-induced differentiation. We thus demonstrate that IFNγ signaling induced during chronic infection can drive DNMT3A-loss-of-function CH.
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Affiliation(s)
- Daniel Hormaechea-Agulla
- Department of Pediatrics, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX 77030, USA
| | - Katie A Matatall
- Department of Pediatrics, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX 77030, USA
| | - Duy T Le
- Program in Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bailee Kain
- Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xiaochen Long
- Department of Statistics, Rice University, Houston, TX 77030, USA
| | - Pawel Kus
- Department of Systems Biology and Engineering and Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Roman Jaksik
- Department of Systems Biology and Engineering and Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Grant A Challen
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marek Kimmel
- Department of Statistics, Rice University, Houston, TX 77030, USA; Department of Systems Biology and Engineering and Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Katherine Y King
- Department of Pediatrics, Section of Infectious Diseases, Baylor College of Medicine, Houston, TX 77030, USA; Program in Immunology, Baylor College of Medicine, Houston, TX 77030, USA; Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX 77030, USA; Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX 77030, USA.
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18
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The evolution of multicellularity and cancer: views and paradigms. Biochem Soc Trans 2021; 48:1505-1518. [PMID: 32677677 DOI: 10.1042/bst20190992] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 06/22/2020] [Accepted: 06/24/2020] [Indexed: 12/16/2022]
Abstract
Conceptually and mechanistically, the evolution of multicellularity required the integration of single cells into new functionally, reproductively and evolutionary stable multicellular individuals. As part of this process, a change in levels of selection occurred, with selection at the multicellular level overriding selection at the cell level. The stability of multicellular individuals is dependent on a combination of mechanisms that supress within-group evolution, by both reducing the occurrence of somatic mutations as well as supressing somatic selection. Nevertheless, mutations that, in a particular microenvironment, confer mutant lineages a fitness advantage relative to normal somatic cells do occur, and can result in cancer. This minireview highlights several views and paradigms that relate the evolution of multicellularity to cancer. As a phenomenon, cancer is generally understood as a failure of multicellular systems to suppress somatic evolution. However, as a disease, cancer is interpreted in different frameworks: (i) a breakdown of cooperative behaviors underlying the evolution of multicellularity, (ii) a disruption of molecular networks established during the emergence of multicellularity to impose constraints on single-celled units, or (iii) an atavistic state resulting from reactivating primitive programs that originated in the earliest unicellular species. A number of assumptions are common in all the views relating cancer as a disease to the evolution of multicellularity. For instance, cancer is considered a reversal to unicellularity, and cancer cells are thought to both resemble unicellular organisms and benefit from ancestral-like traits. Nevertheless, potential limitations of current paradigms should be acknowledged as different perspectives can provide novel insights with potential therapeutic implications.
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19
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Dujon AM, Aktipis A, Alix‐Panabières C, Amend SR, Boddy AM, Brown JS, Capp J, DeGregori J, Ewald P, Gatenby R, Gerlinger M, Giraudeau M, Hamede RK, Hansen E, Kareva I, Maley CC, Marusyk A, McGranahan N, Metzger MJ, Nedelcu AM, Noble R, Nunney L, Pienta KJ, Polyak K, Pujol P, Read AF, Roche B, Sebens S, Solary E, Staňková K, Swain Ewald H, Thomas F, Ujvari B. Identifying key questions in the ecology and evolution of cancer. Evol Appl 2021; 14:877-892. [PMID: 33897809 PMCID: PMC8061275 DOI: 10.1111/eva.13190] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/24/2020] [Accepted: 12/26/2020] [Indexed: 12/17/2022] Open
Abstract
The application of evolutionary and ecological principles to cancer prevention and treatment, as well as recognizing cancer as a selection force in nature, has gained impetus over the last 50 years. Following the initial theoretical approaches that combined knowledge from interdisciplinary fields, it became clear that using the eco-evolutionary framework is of key importance to understand cancer. We are now at a pivotal point where accumulating evidence starts to steer the future directions of the discipline and allows us to underpin the key challenges that remain to be addressed. Here, we aim to assess current advancements in the field and to suggest future directions for research. First, we summarize cancer research areas that, so far, have assimilated ecological and evolutionary principles into their approaches and illustrate their key importance. Then, we assembled 33 experts and identified 84 key questions, organized around nine major themes, to pave the foundations for research to come. We highlight the urgent need for broadening the portfolio of research directions to stimulate novel approaches at the interface of oncology and ecological and evolutionary sciences. We conclude that progressive and efficient cross-disciplinary collaborations that draw on the expertise of the fields of ecology, evolution and cancer are essential in order to efficiently address current and future questions about cancer.
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Affiliation(s)
- Antoine M. Dujon
- School of Life and Environmental SciencesCentre for Integrative EcologyDeakin UniversityWaurn PondsVic.Australia
- CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRDMontpellierFrance
| | - Athena Aktipis
- Biodesign InstituteDepartment of PsychologyArizona State UniversityTempeAZUSA
| | - Catherine Alix‐Panabières
- Laboratory of Rare Human Circulating Cells (LCCRH)University Medical Center of MontpellierMontpellierFrance
| | - Sarah R. Amend
- Brady Urological InstituteThe Johns Hopkins School of MedicineBaltimoreMDUSA
| | - Amy M. Boddy
- Department of AnthropologyUniversity of California Santa BarbaraSanta BarbaraCAUSA
| | - Joel S. Brown
- Department of Integrated MathematicsMoffitt Cancer CenterTampaFLUSA
| | - Jean‐Pascal Capp
- Toulouse Biotechnology InstituteINSA/University of ToulouseCNRSINRAEToulouseFrance
| | - James DeGregori
- Department of Biochemistry and Molecular GeneticsIntegrated Department of ImmunologyDepartment of PaediatricsDepartment of Medicine (Section of Hematology)University of Colorado School of MedicineAuroraCOUSA
| | - Paul Ewald
- Department of BiologyUniversity of LouisvilleLouisvilleKYUSA
| | - Robert Gatenby
- Department of RadiologyH. Lee Moffitt Cancer Center & Research InstituteTampaFLUSA
| | - Marco Gerlinger
- Translational Oncogenomics LabThe Institute of Cancer ResearchLondonUK
| | - Mathieu Giraudeau
- CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRDMontpellierFrance
- Littoral Environnement et Sociétés (LIENSs)UMR 7266CNRS‐Université de La RochelleLa RochelleFrance
| | | | - Elsa Hansen
- Center for Infectious Disease Dynamics, Biology DepartmentPennsylvania State UniversityUniversity ParkPAUSA
| | - Irina Kareva
- Mathematical and Computational Sciences CenterSchool of Human Evolution and Social ChangeArizona State UniversityTempeAZUSA
| | - Carlo C. Maley
- Arizona Cancer Evolution CenterBiodesign Institute and School of Life SciencesArizona State UniversityTempeAZUSA
| | - Andriy Marusyk
- Department of Cancer PhysiologyH Lee Moffitt Cancer Centre and Research InstituteTampaFLUSA
| | - Nicholas McGranahan
- Translational Cancer Therapeutics LaboratoryThe Francis Crick InstituteLondonUK
- Cancer Research UK Lung Cancer Centre of ExcellenceUniversity College London Cancer InstituteLondonUK
| | | | | | - Robert Noble
- Department of Biosystems Science and EngineeringETH ZurichBaselSwitzerland
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZurichZurichSwitzerland
| | - Leonard Nunney
- Department of Evolution, Ecology, and Organismal BiologyUniversity of California RiversideRiversideCAUSA
| | - Kenneth J. Pienta
- Brady Urological InstituteThe Johns Hopkins School of MedicineBaltimoreMDUSA
| | - Kornelia Polyak
- Department of Medical OncologyDana‐Farber Cancer InstituteBostonMAUSA
- Department of MedicineHarvard Medical SchoolBostonMAUSA
| | - Pascal Pujol
- CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRDMontpellierFrance
- Centre Hospitalier Universitaire Arnaud de VilleneuveMontpellierFrance
| | - Andrew F. Read
- Center for Infectious Disease DynamicsHuck Institutes of the Life SciencesDepartments of Biology and EntomologyPennsylvania State UniversityUniversity ParkPAUSA
| | - Benjamin Roche
- CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRDMontpellierFrance
- Unité Mixte Internationale de Modélisation Mathématique et Informatique des Systèmes ComplexesUMI IRD/Sorbonne UniversitéUMMISCOBondyFrance
| | - Susanne Sebens
- Institute for Experimental Cancer Research Kiel University and University Hospital Schleswig‐HolsteinKielGermany
| | - Eric Solary
- INSERM U1287Gustave RoussyVillejuifFrance
- Faculté de MédecineUniversité Paris‐SaclayLe Kremlin‐BicêtreFrance
| | - Kateřina Staňková
- Department of Data Science and Knowledge EngineeringMaastricht UniversityMaastrichtThe Netherlands
- Delft Institute of Applied MathematicsDelft University of TechnologyDelftThe Netherlands
| | | | - Frédéric Thomas
- CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRDMontpellierFrance
| | - Beata Ujvari
- School of Life and Environmental SciencesCentre for Integrative EcologyDeakin UniversityWaurn PondsVic.Australia
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20
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Todorović-Raković N. The role of cytokines in the evolution of cancer: IFN-γ paradigm. Cytokine 2021; 151:155442. [PMID: 33509640 DOI: 10.1016/j.cyto.2021.155442] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 02/07/2023]
Abstract
The evolution of malignant cells implies an increase in oncogenic fitness of cells which arises in active and reciprocal interaction with the tumor microenvironment. The mechanisms facilitating the adaptive evolution of cancer cells involve clonal selection of cancer cells, in a direction of increased adaptive potential under the selective pressure of host defensive strategies. Once reached, this potential could go the other way, changing the same evolutionary force in the tumor microenvironment which influenced its emergence and favoring cancer progression. The immunological system as a part of host defensive mechanisms could be an effective modulator of cancer evolution/progression since it is also a major source of cellular intermediators, such as cytokines. The exemplar of IFN-γ actions during cancer evolution could help the revealing of these mutual interactions and enable better insight into the complex nature of cancer disease, leading to a new approach to treatment strategies.
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Affiliation(s)
- Nataša Todorović-Raković
- Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia.
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21
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Rozhok AI, DeGregori J. The three dimensions of somatic evolution: Integrating the role of genetic damage, life-history traits, and aging in carcinogenesis. Evol Appl 2020; 13:1569-1580. [PMID: 32821273 PMCID: PMC7428813 DOI: 10.1111/eva.12947] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/19/2020] [Accepted: 02/24/2020] [Indexed: 12/16/2022] Open
Abstract
Tumors result from genetic and epigenetic alterations that change cellular survival and differentiation probabilities, promoting clonal dominance. Subsequent genetic and selection processes in tumors allow cells to lose their tissue fidelity and migrate to other parts of the body, turning tumors into cancer. However, the relationship between genetic damage and cancer is not linear, showing remarkable and sometimes seemingly counterintuitive patterns for different tissues and across animal taxa. In the present paper, we attempt to integrate our understanding of somatic evolution and cancer as a product of three major orthogonal processes: occurrence of somatic mutations, evolution of species-specific life-history traits, and physiological aging. Patterns of cancer risk have been shaped by selective pressures experienced by animal populations over millions of years, influencing and influenced by selection acting on traits ranging from mutation rate to reproductive strategies to longevity. We discuss how evolution of species shapes their cancer profiles alongside and in connection with other evolving life-history traits and how this process explains the patterns of cancer incidence we observe in humans and other animals.
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Affiliation(s)
- Andrii I. Rozhok
- Department of Biochemistry and Molecular GeneticsUniversity of Colorado Anschutz Medical CampusAuroraColorado
| | - James DeGregori
- Department of Biochemistry and Molecular GeneticsUniversity of Colorado Anschutz Medical CampusAuroraColorado
- Integrated Department of ImmunologyUniversity of Colorado Anschutz Medical CampusAuroraColorado
- Department of PediatricsUniversity of Colorado Anschutz Medical CampusAuroraColorado
- Department of Medicine/Section of HematologyUniversity of Colorado Anschutz Medical CampusAuroraColorado
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22
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Rozhok AI, Silberman RE, Higa KC, Liggett LA, Amon A, DeGregori J. A somatic evolutionary model of the dynamics of aneuploid cells during hematopoietic reconstitution. Sci Rep 2020; 10:12198. [PMID: 32699207 PMCID: PMC7376010 DOI: 10.1038/s41598-020-68729-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/28/2020] [Indexed: 11/28/2022] Open
Abstract
Aneuploidy is a feature of many cancers. Recent studies demonstrate that in the hematopoietic stem and progenitor cell (HSPC) compartment aneuploid cells have reduced fitness and are efficiently purged from the bone marrow. However, early phases of hematopoietic reconstitution following bone marrow transplantation provide a window of opportunity whereby aneuploid cells rise in frequency, only to decline to basal levels thereafter. Here we demonstrate by Monte Carlo modeling that two mechanisms could underlie this aneuploidy peak: rapid expansion of the engrafted HSPC population and bone marrow microenvironment degradation caused by pre-transplantation radiation treatment. Both mechanisms reduce the strength of purifying selection acting in early post-transplantation bone marrow. We explore the contribution of other factors such as alterations in cell division rates that affect the strength of purifying selection, the balance of drift and selection imposed by the HSPC population size, and the mutation-selection balance dependent on the rate of aneuploidy generation per cell division. We propose a somatic evolutionary model for the dynamics of cells with aneuploidy or other fitness-reducing mutations during hematopoietic reconstitution following bone marrow transplantation. Similar alterations in the strength of purifying selection during cancer development could help explain the paradox of aneuploidy abundance in tumors despite somatic fitness costs.
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Affiliation(s)
- Andrii I Rozhok
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
| | - Rebecca E Silberman
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kelly C Higa
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.,Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - L Alex Liggett
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Angelika Amon
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Pediatrics, Section of Pediatric Hematology/Oncology/BMT, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. .,Department of Medicine, Section of Hematology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
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23
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Y Chromosome Loss is a Frequent Event in Barrett's Adenocarcinoma and Associated with Poor Outcome. Cancers (Basel) 2020; 12:cancers12071743. [PMID: 32629877 PMCID: PMC7408596 DOI: 10.3390/cancers12071743] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 01/06/2023] Open
Abstract
Background: The loss of the Y chromosome in various malignant diseases has been described previously. There are no reliable information on the actual frequency, significance and homogeneity of Y chromosome loss (LoY) in esophageal adenocarcinoma (EAC). Methods: 400 male EAC including lymph-node metastases were analyzed with commercially available Y chromosome specific fluorescence in-situ probes. The results were correlated with molecular and immunohistochemical markers and clinicopathological aspects. Results: The entire cohort (n = 400) showed a singular LoY of one chromosome arm in 1.0% (q-arm) and 2.8% (p-arm), complete LoY in 52.5%. LoY was strongly associated with shortened overall-survival (OS). Patients with preserved Y chromosome had a median OS of 58.8 months, patients with LoY an OS of 19.4 months (p < 0.001). Multivariate analysis showed LoY as an independent prognostic marker with a hazard ratio of 1.835 (95% CI 1.233–2.725). LoY correlated with TP53 mutations (p = 0.003), KRAS amplification (p = 0.004), loss of ARID1a (p = 0.045) and presence of LAG3 (p = 0.018). Conclusions: Loss of the Y chromosome is a very common phenomenon in EAC. The LoY is heterogeneously distributed within the tumor, but corresponding lymph node metastases frequently show homogeneous LoY, indicating a selection and metastasizing advantage with poor prognosis. To date, the male predominance of EAC (7–9:1) is unclear, so genetic explanatory models are favored. The LoY in EAC may be biologically and functionally relevant and additional genomic or functional analyses are needed.
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24
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25
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Pérez-Velázquez J, Rejniak KA. Drug-Induced Resistance in Micrometastases: Analysis of Spatio-Temporal Cell Lineages. Front Physiol 2020; 11:319. [PMID: 32362836 PMCID: PMC7180185 DOI: 10.3389/fphys.2020.00319] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/20/2020] [Indexed: 12/16/2022] Open
Abstract
Resistance to anti-cancer drugs is a major cause of treatment failure. While several intracellular mechanisms of resistance have been postulated, the role of extrinsic factors in the development of resistance in individual tumor cells is still not fully understood. Here we used a hybrid agent-based model to investigate how sensitive tumor cells develop drug resistance in the heterogeneous tumor microenvironment. We characterized the spatio-temporal evolution of lineages of the resistant cells and examined how resistance at the single-cell level contributes to the overall tumor resistance. We also developed new methods to track tumor cell adaptation, to trace cell viability trajectories and to examine the three-dimensional spatio-temporal lineage trees. Our findings indicate that drug-induced resistance can result from cells adaptation to the changes in drug distribution. Two modes of cell adaptation were identified that coincide with microenvironmental niches—areas sheltered by cell micro-communities (protectorates) or regions with limited drug penetration (refuga or sanctuaries). We also recognized that certain cells gave rise to lineages of resistant cells (precursors of resistance) and pinpointed three temporal periods and spatial locations at which such cells emerged. This supports the hypothesis that tumor micrometastases do not need to harbor cell populations with pre-existing resistance, but that individual tumor cells can adapt and develop resistance induced by the drug during the treatment.
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Affiliation(s)
- Judith Pérez-Velázquez
- Mathematical Modeling of Biological Systems, Centre for Mathematical Science, Technical University of Munich, Garching, Germany
| | - Katarzyna A Rejniak
- Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.,Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, Tampa, FL, United States
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26
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Age-Related and Gender-Related Increases in Colorectal Cancer Mortality Rates in Brazil Between 1979 and 2015: Projections for Continuing Rises in Disease. J Gastrointest Cancer 2020; 52:280-288. [PMID: 32248507 PMCID: PMC7900022 DOI: 10.1007/s12029-020-00399-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Purpose Brazil is the largest country in South America. Although a developing nation, birth rates have been decreasing in the last few decades, while its overall population is undergoing lifestyle changes and ageing significantly. Moreover, Brazil has had increasingly high mortality rates related to colorectal cancer (CRC). Herein, we investigated whether the Brazilian population is exhibiting increasing mortality rates related to colon cancer (CC) or rectal cancer (RC) in recent years. Methods We examined data from the Brazilian Federal Government from 1979 to 2015 to determine whether CRC mortality and the population ageing process may be associated. Results Our mathematical modelling suggests that mortality rates related to CC and RC events in the Brazilian population may increase by 79% and 66% in the next 24 years, respectively. This finding led us to explore the mortality rates for both diseases in the country, and we observed that the highest levels were in the south and southeast regions from the year 2000 onwards. CC events appear to decrease life expectancy among people during their second decade of life in recent years, whereas RC events induced decreases in life expectancy in those aged >30 years. Additionally, both CC and RC events seem to promote significant mortality rates in the male population aged > 60 years and living in the southern states. Conclusion Our dataset suggests that both CC and RC events may lead to a significantly increasing number of deaths in the Brazilian male population in coming years.
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27
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Watson CJ, Papula AL, Poon GYP, Wong WH, Young AL, Druley TE, Fisher DS, Blundell JR. The evolutionary dynamics and fitness landscape of clonal hematopoiesis. Science 2020; 367:1449-1454. [PMID: 32217721 DOI: 10.1126/science.aay9333] [Citation(s) in RCA: 236] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 01/24/2020] [Indexed: 12/15/2022]
Abstract
Somatic mutations acquired in healthy tissues as we age are major determinants of cancer risk. Whether variants confer a fitness advantage or rise to detectable frequencies by chance remains largely unknown. Blood sequencing data from ~50,000 individuals reveal how mutation, genetic drift, and fitness shape the genetic diversity of healthy blood (clonal hematopoiesis). We show that positive selection, not drift, is the major force shaping clonal hematopoiesis, provide bounds on the number of hematopoietic stem cells, and quantify the fitness advantages of key pathogenic variants, at single-nucleotide resolution, as well as the distribution of fitness effects (fitness landscape) within commonly mutated driver genes. These data are consistent with clonal hematopoiesis being driven by a continuing risk of mutations and clonal expansions that become increasingly detectable with age.
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Affiliation(s)
- Caroline J Watson
- Department of Oncology, University of Cambridge, Cambridge, UK.
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK
| | - A L Papula
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Gladys Y P Poon
- Department of Oncology, University of Cambridge, Cambridge, UK
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK
| | - Wing H Wong
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew L Young
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Todd E Druley
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel S Fisher
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Jamie R Blundell
- Department of Oncology, University of Cambridge, Cambridge, UK.
- Early Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK
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28
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Laconi E, Marongiu F, DeGregori J. Cancer as a disease of old age: changing mutational and microenvironmental landscapes. Br J Cancer 2020; 122:943-952. [PMID: 32042067 PMCID: PMC7109142 DOI: 10.1038/s41416-019-0721-1] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 12/09/2019] [Accepted: 12/19/2019] [Indexed: 01/27/2023] Open
Abstract
Why do we get cancer mostly when we are old? According to current paradigms, the answer is simple: mutations accumulate in our tissues throughout life, and some of these mutations contribute to cancers. Although mutations are necessary for cancer development, a number of studies shed light on roles for ageing and exposure-dependent changes in tissue landscapes that determine the impact of oncogenic mutations on cellular fitness, placing carcinogenesis into an evolutionary framework. Natural selection has invested in somatic maintenance to maximise reproductive success. Tissue maintenance not only ensures functional robustness but also prevents the occurrence of cancer through periods of likely reproduction by limiting selection for oncogenic events in our cells. Indeed, studies in organisms ranging from flies to humans are revealing conserved mechanisms to eliminate damaged or oncogenically initiated cells from tissues. Reports of the existence of striking numbers of oncogenically initiated clones in normal tissues and of how this clonal architecture changes with age or external exposure to noxious substances provide critical insight into the early stages of cancer development. A major challenge for cancer biology will be the integration of these studies with epidemiology data into an evolutionary theory of carcinogenesis, which could have a large impact on addressing cancer risk and treatment.
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Affiliation(s)
- Ezio Laconi
- Department of Biomedical Sciences, Section of Pathology, University of Cagliari School of Medicine, 09126, Cagliari, Italy.
| | - Fabio Marongiu
- Department of Biomedical Sciences, Section of Pathology, University of Cagliari School of Medicine, 09126, Cagliari, Italy
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, Integrated Department of Immunology, Department of Pediatrics, Department of Medicine (Section of Hematology), University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
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29
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Evans JJ, Alkaisi MM, Sykes PH. Tumour Initiation: a Discussion on Evidence for a "Load-Trigger" Mechanism. Cell Biochem Biophys 2019; 77:293-308. [PMID: 31598831 PMCID: PMC6841748 DOI: 10.1007/s12013-019-00888-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 09/23/2019] [Indexed: 12/18/2022]
Abstract
Appropriate mechanical forces on cells are vital for normal cell behaviour and this review discusses the possibility that tumour initiation depends partly on the disruption of the normal physical architecture of the extracellular matrix (ECM) around a cell. The alterations that occur thence promote oncogene expression. Some questions, that are not answered with certainty by current consensus mechanisms of tumourigenesis, are elegantly explained by the triggering of tumours being a property of the physical characteristics of the ECM, which is operative following loading of the tumour initiation process with a relevant gene variant. Clinical observations are consistent with this alternative hypothesis which is derived from studies that have, together, accumulated an extensive variety of data incorporating biochemical, genetic and clinical findings. Thus, this review provides support for the view that the ECM may have an executive function in induction of a tumour. Overall, reported observations suggest that either restoring an ECM associated with homeostasis or targeting the related signal transduction mechanisms may possibly be utilised to modify or control the early progression of cancers. The review provides a coherent template for discussing the notion, in the context of contemporary knowledge, that tumourigenesis is an alliance of biochemistry, genetics and biophysics, in which the physical architecture of the ECM may be a fundamental component. For more definitive clarification of the concept there needs to be a phalanx of experiments conceived around direct questions that are raised by this paper.
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Affiliation(s)
- John J Evans
- Department of Obstetrics and Gynaecology, University of Otago Christchurch, Christchurch, New Zealand.
- MacDiarmid Institute of Advanced Materials and Nanotechnology, Christchurch, New Zealand.
| | - Maan M Alkaisi
- MacDiarmid Institute of Advanced Materials and Nanotechnology, Christchurch, New Zealand
- Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
| | - Peter H Sykes
- Department of Obstetrics and Gynaecology, University of Otago Christchurch, Christchurch, New Zealand
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30
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Leusch FDL, Khan SJ, Deere D, Cunliffe D, Neale PA, Humpage A. Deriving safe short-term chemical exposure values (STEV) for drinking water. Regul Toxicol Pharmacol 2019; 110:104545. [PMID: 31778715 DOI: 10.1016/j.yrtph.2019.104545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/17/2019] [Accepted: 11/24/2019] [Indexed: 02/04/2023]
Abstract
Small and brief exceedances of chemicals above their guideline values in drinking water are unlikely to cause an appreciable increased risk to human health. As a result, short-term exposure values (STEV) can be derived to help decide whether drinking water can still be supplied to consumers without adverse health risks. In this study, three approaches were applied to calculate and compare STEV for pesticides. The three approaches included basing a STEV on the acute reference dose (ARfD) (Approach 1), removing conventional attribution rates and uncertainty factors from current guideline values (Approach 2) and extrapolating 1 d and 7 d no observed adverse effect levels (NOAEL) from existing toxicity data using a log-linear regression (Approach 3). Despite being very different methods, the three approaches produced comparable STEV generally within an order of magnitude, which often overlapped with other existing short-term exposure values such as short-term no adverse response levels (SNARL) and health advisories (HA). The results show that adjusting the current guideline value using standard extrapolation factors (Approach 2) often produced the most conservative values. Approach 2 was then applied to two other chemical classes, disinfection by-products (DBPs) and cyanotoxins, demonstrating the wider applicability of the approach.
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Affiliation(s)
- Frederic D L Leusch
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Qld, 4222, Australia.
| | - Stuart J Khan
- School of Civil & Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
| | | | - David Cunliffe
- Department of Health South Australia, Adelaide, SA, Australia
| | - Peta A Neale
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Qld, 4222, Australia
| | - Andrew Humpage
- Department of Health Sciences, University of Adelaide, Adelaide, SA, Australia
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31
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Rozhok A, DeGregori J. Somatic maintenance impacts the evolution of mutation rate. BMC Evol Biol 2019; 19:172. [PMID: 31443631 PMCID: PMC6708161 DOI: 10.1186/s12862-019-1496-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 08/14/2019] [Indexed: 12/11/2022] Open
Abstract
Background The evolution of multi-cellular animals has produced a conspicuous trend toward increased body size. This trend has introduced at least two novel problems: an expected elevated risk of somatic disorders, such as cancer, and declining evolvability due to generally reduced population size, lower reproduction rate and extended generation time. Low population size is widely recognized to explain the high mutation rates in animals by limiting the presumed universally negative selection acting on mutation rates. Results Here, we present evidence from stochastic modeling that the direction and strength of selection acting on mutation rates is highly dependent on the evolution of somatic maintenance, and thus longevity, which modulates the cost of somatic mutations. Conclusions We argue that the impact of the evolution of longevity on mutation rates may have been critical in facilitating animal evolution. Electronic supplementary material The online version of this article (10.1186/s12862-019-1496-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrii Rozhok
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, 80045, USA. .,Integrated Department of Immunology, University of Colorado School of Medicine, Aurora, CO, 80045, USA. .,Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA. .,Department of Medicine, Section of Hematology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
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32
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Hall MWJ, Jones PH, Hall BA. Relating evolutionary selection and mutant clonal dynamics in normal epithelia. J R Soc Interface 2019; 16:20190230. [PMID: 31362624 PMCID: PMC6685019 DOI: 10.1098/rsif.2019.0230] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 06/24/2019] [Indexed: 02/02/2023] Open
Abstract
Cancer develops from mutated cells in normal tissues. Whether somatic mutations alter normal cell dynamics is key to understanding cancer risk and guiding interventions to reduce it. An analysis of the first incomplete moment of size distributions of clones carrying cancer-associated mutations in normal human eyelid skin gives a good fit with neutral drift, arguing mutations do not affect cell fate. However, this suggestion conflicts with genetic evidence in the same dataset that argues for strong positive selection of a subset of mutations. This implies cells carrying these mutations have a competitive advantage over normal cells, leading to large clonal expansions within the tissue. In the normal epithelium, clone growth is constrained by the limited size of the proliferating compartment and competition with surrounding cells. We show that if these factors are taken into account, the first incomplete moment of the clone size distribution is unable to exclude non-neutral behaviour. Furthermore, experimental factors can make a non-neutral clone size distribution appear neutral. We validate these principles with a new experimental dataset showing that when experiments are appropriately designed, the first incomplete moment can be a useful indicator of non-neutral competition. Finally, we discuss the complex relationship between mutant clone sizes and genetic selection.
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Affiliation(s)
- Michael W. J. Hall
- Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- MRC Cancer Unit, University of Cambridge, Hutchison-MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge CB2 0XZ, UK
| | - Philip H. Jones
- Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- MRC Cancer Unit, University of Cambridge, Hutchison-MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge CB2 0XZ, UK
| | - Benjamin A. Hall
- MRC Cancer Unit, University of Cambridge, Hutchison-MRC Research Centre, Box 197, Cambridge Biomedical Campus, Cambridge CB2 0XZ, UK
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33
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Lemaître J, Pavard S, Giraudeau M, Vincze O, Jennings G, Hamede R, Ujvari B, Thomas F. Eco‐evolutionary perspectives of the dynamic relationships linking senescence and cancer. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13394] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jean‐François Lemaître
- Université de Lyon, F‐69000, Lyon; Université Lyon 1; CNRS, UMR5558 Laboratoire de Biométrie et Biologie Évolutive F‐69622 Villeurbanne France
| | - Samuel Pavard
- Unité Eco-anthropologie (EA), Muséum National d’Histoire Naturelle, CNRS 7206 Université Paris Diderot Paris France
| | | | - Orsolya Vincze
- Hungarian Department of Biology and Ecology, Evolutionary Ecology Group Babeş‐Bolyai University Cluj‐Napoca Romania
- Department of Tisza Research MTA Centre for Ecological Research Debrecen Hungary
| | - Geordie Jennings
- Centre for Integrative Ecology, School of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia
- School of Natural Sciences University of Tasmania Hobart Tasmania Australia
| | - Rodrigo Hamede
- Centre for Integrative Ecology, School of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia
- School of Natural Sciences University of Tasmania Hobart Tasmania Australia
| | - Beata Ujvari
- Centre for Integrative Ecology, School of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia
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34
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Disanza A, Bisi S, Frittoli E, Malinverno C, Marchesi S, Palamidessi A, Rizvi A, Scita G. Is cell migration a selectable trait in the natural evolution of cancer development? Philos Trans R Soc Lond B Biol Sci 2019; 374:20180224. [PMID: 31431177 DOI: 10.1098/rstb.2018.0224] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Selective evolutionary pressure shapes the processes and genes that enable cancer survival and expansion in a tumour-suppressive environment. A distinguishing lethal feature of malignant cancer is its dissemination and seeding of metastatic foci. A key requirement for this process is the acquisition of a migratory/invasive ability. However, how the migratory phenotype is selected for during the natural evolution of cancer and what advantage, if any, it might provide to the growing malignant cells remain open issues. In this opinion piece, we discuss three possible answers to these issues. We will examine lines of evidence from mathematical modelling of cancer evolution that indicate that migration is an intrinsic selectable property of malignant cells that directly impacts on growth dynamics and cancer geometry. Second, we will argue that migratory phenotypes can emerge as an adaptive response to unfavourable growth conditions and endow cells not only with the ability to move/invade, but also with specific metastatic traits, including drug resistance, self-renewal and survival. Finally, we will discuss the possibility that migratory phenotypes are coincidental events that emerge by happenstance in the natural evolution of cancer. This article is part of a discussion meeting issue 'Forces in cancer: interdisciplinary approaches in tumour mechanobiology'.
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Affiliation(s)
- Andrea Disanza
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy
| | - Sara Bisi
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy
| | - Emanuela Frittoli
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy
| | - Chiara Malinverno
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.,Department of Oncology and Haemato-Oncology-DIPO, School of Medicine, University of Milan, Milan, Italy
| | - Stefano Marchesi
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy
| | - Andrea Palamidessi
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy
| | - Abrar Rizvi
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.,Department of Oncology and Haemato-Oncology-DIPO, School of Medicine, University of Milan, Milan, Italy
| | - Giorgio Scita
- IFOM, FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.,Department of Oncology and Haemato-Oncology-DIPO, School of Medicine, University of Milan, Milan, Italy
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35
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Multi-stage models for the failure of complex systems, cascading disasters, and the onset of disease. PLoS One 2019; 14:e0216422. [PMID: 31107895 PMCID: PMC6527192 DOI: 10.1371/journal.pone.0216422] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 04/20/2019] [Indexed: 11/22/2022] Open
Abstract
Complex systems can fail through different routes, often progressing through a series of (rate-limiting) steps and modified by environmental exposures. The onset of disease, cancer in particular, is no different. Multi-stage models provide a simple but very general mathematical framework for studying the failure of complex systems, or equivalently, the onset of disease. They include the Armitage-Doll multi-stage cancer model as a particular case, and have potential to provide new insights into how failures and disease, arise and progress. A method described by E.T. Jaynes is developed to provide an analytical solution for a large class of these models, and highlights connections between the convolution of Laplace transforms, sums of random variables, and Schwinger/Feynman parameterisations. Examples include: exact solutions to the Armitage-Doll model, the sum of Gamma-distributed variables with integer-valued shape parameters, a clonal-growth cancer model, and a model for cascading disasters. Applications and limitations of the approach are discussed in the context of recent cancer research. The model is sufficiently general to be used in many contexts, such as engineering, project management, disease progression, and disaster risk for example, allowing the estimation of failure rates in complex systems and projects. The intended result is a mathematical toolkit for applying multi-stage models to the study of failure rates in complex systems and to the onset of disease, cancer in particular.
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Wu J, Zhang XX, Zou X, Wang M, Wang HX, Wang YH, Li CY, Zhao LG, Chen M, Pei LX, Liu SL, Sun QM. The effect of Jianpi Yangzheng Xiaozheng Decoction and its components on gastric cancer. JOURNAL OF ETHNOPHARMACOLOGY 2019; 235:56-64. [PMID: 30731181 DOI: 10.1016/j.jep.2019.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 01/31/2019] [Accepted: 02/03/2019] [Indexed: 06/09/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Jianpi Yangzheng Xiaozheng Decoction (JPYZXZ) is an empirical compound prescription based on the theory of traditional Chinese medicine. JPYZXZ, which is "Qi-invigorating, spleen-strengthening and stasis-removing," can improve the quality of life of gastric cancer patients and prolong their survival; however, the exact mechanism underlying the antitumor effects of this compound is still not clear. AIM OF THE STUDY The aim of this study is to clearly define the effect of JPYZXZ and its components, Jianpi Yangzheng Decoction (JPYZ) and Xiao Zheng San Jie Decoction (XZSJ), on inhibiting the progression of gastric cancer. MATERIALS AND METHODS The effect of JPYZXZ and its components on the motility of gastric cancer MGC-803 cells was measured by MTT, adhesion, transwell assays and wound-healing assays. JPYZXZ, JPYZ and XZSJ were administered to 615 mice with gastric cancer xenografts, and their effect on the inhibition of subcutaneous transplantation was analyzed. THP-1 monocyte cells were used to establish tumor-associated macrophage (TAM) models. The polarized state of the TAMs was detected by Flow Cytometry, ELISA and Immunohistochemistry. The mRNA and protein expression of tumor epithelial-mesenchymal transition (EMT) and TAM-related genes was determined by Real-time PCR and Western Blot, respectively. RESULTS We determined that both JPYZXZ and its components inhibited the progress of gastric cancer in vitro, and JPYZXZ was clearly more effective than JPYZ or XZSJ. The in vivo results demonstrated that the JPYZXZ and XZSJ group exhibited a significant decrease in the tumor weight compared to the control group. Further analysis indicated that JPYZXZ was more active than JPYZ or XZSJ in inhibiting the gastric cancer EMT transformation both in vivo and in vitro. However, JPYZ was more effective compared with JPYZXZ for inducing the phenotypic change in macrophages from M2 to M1. CONCLUSIONS Our results demonstrate that both JPYZXZ and its components prevent the progress of gastric cancer. JPYZXZ inhibits the gastric cancer EMT more effectively than JPYZ and XZSJ, but JPYZ primarily works to regulate the phenotypic change in macrophages from M2 to M1.
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Affiliation(s)
- Jian Wu
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China; No.1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China.
| | - Xing-Xing Zhang
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Xi Zou
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Min Wang
- No.1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China.
| | - Hong-Xing Wang
- No.1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China.
| | - Yao-Hui Wang
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Chang-Yin Li
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Lin-Gang Zhao
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Min Chen
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Li-Xia Pei
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Shen-Lin Liu
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
| | - Qing-Min Sun
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.
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Rozhok A, DeGregori J. A generalized theory of age-dependent carcinogenesis. eLife 2019; 8:39950. [PMID: 31034356 PMCID: PMC6488293 DOI: 10.7554/elife.39950] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 04/08/2019] [Indexed: 12/22/2022] Open
Abstract
The Multi-Stage Model of Carcinogenesis (MMC), developed in the 1950 s-70s, postulated carcinogenesis as a Darwinian somatic selection process. The cellular organization of tissues was then poorly understood, with almost nothing known about cancer drivers and stem cells. The MMC paradigm was later confirmed, and cancer incidence was explained as a function of mutation occurrence. However, the MMC has never been tested for its ability to account for the discrepancies in the number of driver mutations and the organization of the stem cell compartments underlying different cancers that still demonstrate nearly universal age-dependent incidence patterns. Here we demonstrate by Monte Carlo modeling the impact of key somatic evolutionary parameters on the MMC performance, revealing that two additional major mechanisms, aging-dependent somatic selection and life history-dependent evolution of species-specific tumor suppressor mechanisms, need to be incorporated into the MMC to make it capable of generalizing cancer incidence across tissues and species. Editorial note This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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Affiliation(s)
- Andrii Rozhok
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, United States
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, United States.,Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, United States.,Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, United States.,Department of Medicine, Section of Hematology, University of Colorado Anschutz Medical Campus, Aurora, United States
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38
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Zhang X, Xiang J. Remodeling the Microenvironment before Occurrence and Metastasis of Cancer. Int J Biol Sci 2019; 15:105-113. [PMID: 30662351 PMCID: PMC6329933 DOI: 10.7150/ijbs.28669] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 10/24/2018] [Indexed: 12/21/2022] Open
Abstract
Tumorigenesis and progression of cancer are complex processes which transformed cells and stromal cells interact and co-evolve. Intrinsic and extrinsic factors cause the mutations of cells. The survival of transformed cells critically depends on the circumstances which they reside. The malignant transformed cancer cells reprogram the microenvironment locally and systemically. The formation of premetastatic niche in the secondary organs facilitates cancer cells survival in the distant organs. This review outlines the current understanding of the key roles of premalignant niche and premetastatic niche in cancer progression. We proposed that a niche facilitates survival of transformed cells is characteristics of senescence, stromal fibrosis and obese microenvironment. We also proposed the formation of premetastatic niche in secondary organs is critically influenced by primary cancer cells. Therefore, it suggested that strategies to target the niche can be promising approach to eradicate cancer cells.
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Affiliation(s)
- Xina Zhang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, PR China.,Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Juanjuan Xiang
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, PR China.,Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China
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39
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Zhang Y, Yang H, Li Q, Duan X, Zhao X, Wei Y, Chen X. Three-Dimensional Ameliorated Biologics Elicit Thymic Renewal in Tumor-Bearing Hosts. THE JOURNAL OF IMMUNOLOGY 2018; 201:1975-1983. [DOI: 10.4049/jimmunol.1701727] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 07/23/2018] [Indexed: 12/31/2022]
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40
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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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41
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Parikh N, Shuck RL, Gagea M, Shen L, Donehower LA. Enhanced inflammation and attenuated tumor suppressor pathways are associated with oncogene-induced lung tumors in aged mice. Aging Cell 2018; 17. [PMID: 29047229 PMCID: PMC5771401 DOI: 10.1111/acel.12691] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2017] [Indexed: 01/09/2023] Open
Abstract
Aging is often accompanied by a dramatic increase in cancer susceptibility. To gain insights into how aging affects tumor susceptibility, we generated a conditional mouse model in which oncogenic KrasG12D was activated specifically in lungs of young (3–5 months) and old (19–24 months) mice. Activation of KrasG12D in old mice resulted in shorter survival and development of higher‐grade lung tumors. Six weeks after KrasG12D activation, old lung tissues contained higher numbers of adenomas than their young tissue counterparts. Lung tumors in old mice displayed higher proliferation rates, as well as attenuated DNA damage and p53 tumor suppressor responses. Gene expression comparison of lung tumors from young and old mice revealed upregulation of extracellular matrix‐related genes in young tumors, indicative of a robust cancer‐associated fibroblast response. In old tumors, numerous inflammation‐related genes such as Ccl7,IL‐1β, Cxcr6, and IL‐15ra were consistently upregulated. Increased numbers of immune cells were localized around the periphery of lung adenomas from old mice. Our experiments indicate that more aggressive lung tumor formation in older KrasG12D mice may be in part the result of subdued tumor suppressor and DNA damage responses, an enhanced inflammatory milieu, and a more accommodating tissue microenvironment.
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Affiliation(s)
- Neha Parikh
- Department of Molecular Virology and Microbiology; Baylor College of Medicine; Houston TX 77030 USA
| | - Ryan L. Shuck
- Department of Molecular Virology and Microbiology; Baylor College of Medicine; Houston TX 77030 USA
| | - Mihai Gagea
- Department of Veterinary Medicine and Surgery; UT MD Anderson Cancer Center; Houston TX 77030 USA
| | - Lanlan Shen
- Children's Nutrition Research Center; Houston TX 77030 USA
| | - Lawrence A. Donehower
- Department of Molecular Virology and Microbiology; Baylor College of Medicine; Houston TX 77030 USA
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42
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Bertolaso M, Dieli AM. Cancer and intercellular cooperation. ROYAL SOCIETY OPEN SCIENCE 2017; 4:170470. [PMID: 29134064 PMCID: PMC5666247 DOI: 10.1098/rsos.170470] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 09/05/2017] [Indexed: 06/07/2023]
Abstract
The major transitions approach in evolutionary biology has shown that the intercellular cooperation that characterizes multicellular organisms would never have emerged without some kind of multilevel selection. Relying on this view, the Evolutionary Somatic view of cancer considers cancer as a breakdown of intercellular cooperation and as a loss of the balance between selection processes that take place at different levels of organization (particularly single cell and individual organism). This seems an elegant unifying framework for healthy organism, carcinogenesis, tumour proliferation, metastasis and other phenomena such as ageing. However, the gene-centric version of Darwinian evolution, which is often adopted in cancer research, runs into empirical problems: proto-tumoural and tumoural features in precancerous cells that would undergo 'natural selection' have proved hard to demonstrate; cells are radically context-dependent, and some stages of cancer are poorly related to genetic change. Recent perspectives propose that breakdown of intercellular cooperation could depend on 'fields' and other higher-level phenomena, and could be even mutations independent. Indeed, the field would be the context, allowing (or preventing) genetic mutations to undergo an intra-organism process analogous to natural selection. The complexities surrounding somatic evolution call for integration between multiple incomplete frameworks for interpreting intercellular cooperation and its pathologies.
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Affiliation(s)
- Marta Bertolaso
- Departmental Faculty of Engineering and FAST Institute for Philosophy of Scientific and Technological Practice, Università Campus Bio-Medico di Roma, Roma, Italy
| | - Anna Maria Dieli
- Department of Literature, Philosophy, and the Arts, University of Rome Tor Vergata, Roma, Italy
- Institute for the History and Philosophy of Science and Technology (IHPST), Paris 1 Panthéon-Sorbonne University, Paris, France
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43
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Henry CJ, Nemkov T, Casás-Selves M, Bilousova G, Zaberezhnyy V, Higa KC, Serkova NJ, Hansen KC, D'Alessandro A, DeGregori J. Folate dietary insufficiency and folic acid supplementation similarly impair metabolism and compromise hematopoiesis. Haematologica 2017; 102:1985-1994. [PMID: 28883079 PMCID: PMC5709097 DOI: 10.3324/haematol.2017.171074] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 09/06/2017] [Indexed: 12/11/2022] Open
Abstract
While dietary folate deficiency is associated with increased risk for birth defects and other diseases, evidence suggests that supplementation with folic acid can contribute to predisposition to some diseases, including immune dysfunction and cancer. Herein, we show that diets supplemented with folic acid both below and above the recommended levels led to significantly altered metabolism in multiple tissues in mice. Surprisingly, both low and excessive dietary folate induced similar metabolic changes, which were particularly evident for nucleotide biosynthetic pathways in B-progenitor cells. Diet-induced metabolic changes in these cells partially phenocopied those observed in mice treated with anti-folate drugs, suggesting that both deficiency and excessive levels of dietary folic acid compromise folate-dependent biosynthetic pathways. Both folate deficiency and excessive dietary folate levels compromise hematopoiesis, resulting in defective cell cycle progression, persistent DNA damage, and impaired production of lymphocytes. These defects reduce the reconstitution potential in transplantation settings and increase radiation-induced mortality. We conclude that excessive folic acid supplementation can metabolically mimic dietary folate insufficiency, leading to similar functional impairment of hematopoiesis.
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Affiliation(s)
- Curtis J Henry
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA.,Department of Immunology and Microbiology, University of Colorado AMC, Aurora, CO, USA
| | - Travis Nemkov
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA
| | - Matias Casás-Selves
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA
| | - Ganna Bilousova
- Department of Dermatology and Charles C. Gates Center for Regenerative Medicine, University of Colorado AMC, Aurora, CO, USA
| | - Vadym Zaberezhnyy
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA
| | - Kelly C Higa
- Department of Immunology and Microbiology, University of Colorado AMC, Aurora, CO, USA
| | - Natalie J Serkova
- Department of Anesthesiology, University of Colorado AMC, Aurora, CO, USA
| | - Kirk C Hansen
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA
| | - James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado AMC, Aurora, CO, USA .,Department of Immunology and Microbiology, University of Colorado AMC, Aurora, CO, USA.,Department of Medicine, Section of Hematology, University of Colorado AMC, Aurora, CO, USA.,Department of Pediatrics, Section of Hematology/Oncology, University of Colorado AMC, Aurora, CO, USA
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44
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Parsons BL, McKim KL, Myers MB. Variation in organ-specific PIK3CA and KRAS mutant levels in normal human tissues correlates with mutation prevalence in corresponding carcinomas. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2017; 58:466-476. [PMID: 28755461 PMCID: PMC5601221 DOI: 10.1002/em.22110] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 05/10/2017] [Accepted: 05/10/2017] [Indexed: 05/27/2023]
Abstract
Large-scale sequencing efforts have described the mutational complexity of individual cancers and identified mutations prevalent in different cancers. As a complementary approach, allele-specific competitive blocker PCR (ACB-PCR) is being used to quantify levels of hotspot cancer driver mutations (CDMs) with high sensitivity, to elucidate the tissue-specific properties of CDMs, their occurrence as tumor cell subpopulations, and their occurrence in normal tissues. Here we report measurements of PIK3CA H1047R mutant fraction (MF) in normal colonic mucosa, normal lung, colonic adenomas, colonic adenocarcinomas, and lung adenocarcinomas. We report PIK3CA E545K MF measurements in those tissues, as well as in normal breast, normal thyroid, mammary ductal carcinomas, and papillary thyroid carcinomas. We report KRAS G12D and G12V MF measurements in normal colon. These MF measurements were integrated with previously published ACB-PCR data on KRAS G12D, KRAS G12V, and PIK3CA H1047R. Analysis of these data revealed a correlation between the degree of interindividual variability in these mutations (as log10 MF standard deviation) in normal tissues and the frequencies with which the mutations are detected in carcinomas of the corresponding organs in the COSMIC database. This novel observation has important implications. It suggests that interindividual variability in mutation levels of normal tissues may be used as a metric to identify mutations with critical early roles in tissue-specific carcinogenesis. Additionally, it raises the possibility that personalized cancer therapeutics, developed to target specifically activated oncogenic products, might be repurposed as prophylactic therapies to reduce the accumulation of cells carrying CDMs and, thereby, reduce future cancer risk. Environ. Mol. Mutagen. 58:466-476, 2017. © 2017 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)
- Barbara L. Parsons
- Division of Genetic and Molecular ToxicologyU.S. Food and Drug Administration, National Center for Toxicological ResearchJeffersonArkansas
| | - Karen L. McKim
- Division of Genetic and Molecular ToxicologyU.S. Food and Drug Administration, National Center for Toxicological ResearchJeffersonArkansas
| | - Meagan B. Myers
- Division of Genetic and Molecular ToxicologyU.S. Food and Drug Administration, National Center for Toxicological ResearchJeffersonArkansas
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DeGregori J. Connecting Cancer to Its Causes Requires Incorporation of Effects on Tissue Microenvironments. Cancer Res 2017; 77:6065-6068. [PMID: 28754675 DOI: 10.1158/0008-5472.can-17-1207] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 05/29/2017] [Accepted: 07/13/2017] [Indexed: 11/16/2022]
Abstract
In a recent article in Science, Tomasetti and colleagues present an expanded model for cancer risk, which they claim demonstrates the relative contribution of mutations caused by replication errors, environment, and heredity. The foundation of this model is the theory that the overwhelming driver of cancer risk is mutations. This perspective will present experimental evidence and evolutionary theory to challenge the basis of this underlying theory. An argument will be presented that the mutation-centric model of cancer suggests unrealistic solutions to cancer and distracts the research community from more promising approaches that consider tissue context. Cancer Res; 77(22); 6065-8. ©2017 AACR.
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Affiliation(s)
- James DeGregori
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado.
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46
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Ultra-sensitive Sequencing Identifies High Prevalence of Clonal Hematopoiesis-Associated Mutations throughout Adult Life. Am J Hum Genet 2017; 101:50-64. [PMID: 28669404 DOI: 10.1016/j.ajhg.2017.05.013] [Citation(s) in RCA: 175] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 05/18/2017] [Indexed: 12/13/2022] Open
Abstract
Clonal hematopoiesis results from somatic mutations in hematopoietic stem cells, which give an advantage to mutant cells, driving their clonal expansion and potentially leading to leukemia. The acquisition of clonal hematopoiesis-driver mutations (CHDMs) occurs with normal aging and these mutations have been detected in more than 10% of individuals ≥65 years. We aimed to examine the prevalence and characteristics of CHDMs throughout adult life. We developed a targeted re-sequencing assay combining high-throughput with ultra-high sensitivity based on single-molecule molecular inversion probes (smMIPs). Using smMIPs, we screened more than 100 loci for CHDMs in more than 2,000 blood DNA samples from population controls between 20 and 69 years of age. Loci screened included 40 regions known to drive clonal hematopoiesis when mutated and 64 novel candidate loci. We identified 224 somatic mutations throughout our cohort, of which 216 were coding mutations in known driver genes (DNMT3A, JAK2, GNAS, TET2, and ASXL1), including 196 point mutations and 20 indels. Our assay's improved sensitivity allowed us to detect mutations with variant allele frequencies as low as 0.001. CHDMs were identified in more than 20% of individuals 60 to 69 years of age and in 3% of individuals 20 to 29 years of age, approximately double the previously reported prevalence despite screening a limited set of loci. Our findings support the occurrence of clonal hematopoiesis-associated mutations as a widespread mechanism linked with aging, suggesting that mosaicism as a result of clonal evolution of cells harboring somatic mutations is a universal mechanism occurring at all ages in healthy humans.
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47
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Tumors arise from the excessive repair of damaged stem cells. Med Hypotheses 2017; 102:112-122. [PMID: 28478815 DOI: 10.1016/j.mehy.2017.03.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 03/05/2017] [Indexed: 12/17/2022]
Abstract
Although many hypotheses for tumorigenesis have been proposed, none can explain the occurrence and development of tumors comprehensively until now. We put forward a new hypothesis: tumors arise from the excessive repair of damaged stem cells. There are stem cells in all tissues and organs, and the stem cells have perfect damage repair mechanisms, including damage repair systems and repair-inhibiting systems. Tumors arise from the excessive repair of damaged stem cells, i.e., carcinogens induce stem cell damage, leading to overexpression of damage repair systems, and simultaneous inactivation of repair-inhibiting systems through genetic or non-genetic mechanisms, finally forming tumors. The outcome (forming clinically significant tumors or death) and development (tumor recurrence, metastasis or spontaneous healing) of the tumor cells depends on whether the injury and the excessive repair persists, whether immune surveillance function is normal and the tumor microenvironment is appropriate. This hypothesis not only addresses the issues of where tumor cells arise from, how tumors form and where they go, but also provides a reasonable explanation for many unresolved issues in tumor occurrence, development, metastasis or healing. In addition, this hypothesis could guide the early diagnosis, reasonable treatment and effective prevention of tumors.
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Abstract
Cellular heterogeneity in cancer represents a significant challenge. In order to develop effective and lasting therapies, it is essential to understand the source of this heterogeneity, and its role in tumor progression and therapy resistance. Here, we consider not only genetic and epigenetic mechanisms, but also inflammation and cell state reprogramming in creating tumor heterogeneity. We discuss similarities between normal mammary epithelial developmental states and various breast cancer molecular sub-types, and the cells that are thought to propagate them. We emphasize that while stem cell phenotypes and mesenchymal character have often been conflated, existing data suggest that the combination of intrinsic genetic and epigenetic changes, and microenvironmental influences generate multiple types of tumor propagating cells distinguishable by their positions along a continuum of epithelial to mesenchymal, stem to differentiated and embryonic to mature cell states. Consequently, in addition to the prospect of stem cell-directed tumor therapies, there is a need to understand interrelationships between stem cell, epithelial–mesenchymal, and tumor-associated reprogramming events to develop new therapies that mitigate cell state plasticity and minimize the evolution of tumor heterogeneity.
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Scott J, Marusyk A. Somatic clonal evolution: A selection-centric perspective. Biochim Biophys Acta Rev Cancer 2017; 1867:139-150. [DOI: 10.1016/j.bbcan.2017.01.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 01/29/2017] [Accepted: 01/30/2017] [Indexed: 12/31/2022]
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Jacqueline C, Biro PA, Beckmann C, Moller AP, Renaud F, Sorci G, Tasiemski A, Ujvari B, Thomas F. Cancer: A disease at the crossroads of trade-offs. Evol Appl 2017; 10:215-225. [PMID: 28250806 PMCID: PMC5322410 DOI: 10.1111/eva.12444] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 11/01/2016] [Indexed: 12/14/2022] Open
Abstract
Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of additional trade-offs in organisms (e.g., eco-immunological trade-offs). Here, we review the wide range of trade-offs that occur at different scales and their relevance for understanding cancer dynamics. We also discuss how acknowledging these phenomena, in light of human evolutionary history, may suggest new guidelines for preventive and therapeutic strategies.
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Affiliation(s)
- Camille Jacqueline
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
| | - Peter A. Biro
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Christa Beckmann
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Anders Pape Moller
- Ecologie Systématique EvolutionUniversité Paris‐SudCNRSAgroParisTechUniversité Paris‐Saclay, F‐91405 Orsay CedexFrance
| | - François Renaud
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
| | - Gabriele Sorci
- BiogéoSciencesCNRS UMR 6282Université de BourgogneDijonFrance
| | - Aurélie Tasiemski
- Unité d'EvolutionEcologie et Paléontologie (EEP) Université de Lille 1 CNRS UMR 8198groupe d'Ecoimmunologie des AnnélidesVilleneuve‐d'AscqFrance
| | - Beata Ujvari
- Centre for Integrative EcologySchool of Life and Environmental SciencesDeakin UniversityWaurn PondsVICAustralia
| | - Frédéric Thomas
- CREECMontpellier Cedex 5France
- MIVEGECUMR IRD/CNRS/UM 5290Montpellier Cedex 5France
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