1
|
Kulesza A, Couty C, Lemarre P, Thalhauser CJ, Cao Y. Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice. J Pharmacokinet Pharmacodyn 2024:10.1007/s10928-024-09930-x. [PMID: 38904912 DOI: 10.1007/s10928-024-09930-x] [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: 01/30/2024] [Accepted: 06/07/2024] [Indexed: 06/22/2024]
Abstract
Quantitative predictive modeling of cancer growth, progression, and individual response to therapy is a rapidly growing field. Researchers from mathematical modeling, systems biology, pharmaceutical industry, and regulatory bodies, are collaboratively working on predictive models that could be applied for drug development and, ultimately, the clinical management of cancer patients. A plethora of modeling paradigms and approaches have emerged, making it challenging to compile a comprehensive review across all subdisciplines. It is therefore critical to gauge fundamental design aspects against requirements, and weigh opportunities and limitations of the different model types. In this review, we discuss three fundamental types of cancer models: space-structured models, ecological models, and immune system focused models. For each type, it is our goal to illustrate which mechanisms contribute to variability and heterogeneity in cancer growth and response, so that the appropriate architecture and complexity of a new model becomes clearer. We present the main features addressed by each of the three exemplary modeling types through a subjective collection of literature and illustrative exercises to facilitate inspiration and exchange, with a focus on providing a didactic rather than exhaustive overview. We close by imagining a future multi-scale model design to impact critical decisions in oncology drug development.
Collapse
Affiliation(s)
| | - Claire Couty
- Novadiscovery, 1 Place Giovanni Verrazzano, 69009, Lyon, France
| | - Paul Lemarre
- Novadiscovery, 1 Place Giovanni Verrazzano, 69009, Lyon, France
| | - Craig J Thalhauser
- Genmab US, Inc., 777 Scudders Mill Rd Bldg 2 4th Floor, Plainsboro, NJ, 08536, USA
| | - Yanguang Cao
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| |
Collapse
|
2
|
Del Pino Herrera A, Ferrall-Fairbanks MC. A war on many fronts: cross disciplinary approaches for novel cancer treatment strategies. Front Genet 2024; 15:1383676. [PMID: 38873108 PMCID: PMC11169904 DOI: 10.3389/fgene.2024.1383676] [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: 02/07/2024] [Accepted: 04/26/2024] [Indexed: 06/15/2024] Open
Abstract
Cancer is a disease characterized by uncontrolled cellular growth where cancer cells take advantage of surrounding cellular populations to obtain resources and promote invasion. Carcinomas are the most common type of cancer accounting for almost 90% of cancer cases. One of the major subtypes of carcinomas are adenocarcinomas, which originate from glandular cells that line certain internal organs. Cancers such as breast, prostate, lung, pancreas, colon, esophageal, kidney are often adenocarcinomas. Current treatment strategies include surgery, chemotherapy, radiation, targeted therapy, and more recently immunotherapy. However, patients with adenocarcinomas often develop resistance or recur after the first line of treatment. Understanding how networks of tumor cells interact with each other and the tumor microenvironment is crucial to avoid recurrence, resistance, and high-dose therapy toxicities. In this review, we explore how mathematical modeling tools from different disciplines can aid in the development of effective and personalized cancer treatment strategies. Here, we describe how concepts from the disciplines of ecology and evolution, economics, and control engineering have been applied to mathematically model cancer dynamics and enhance treatment strategies.
Collapse
Affiliation(s)
- Adriana Del Pino Herrera
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
| | - Meghan C. Ferrall-Fairbanks
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
- University of Florida Health Cancer Center, University of Florida, Gainesville, FL, United States
| |
Collapse
|
3
|
Santisteban-Espejo A, Bernal-Florindo I, Montero-Pavon P, Perez-Requena J, Atienza-Cuevas L, Fernandez-Valle MDC, Villalba-Fernandez A, Garcia-Rojo M. Pathogenic Variants Associated with Epigenetic Control and the NOTCH Pathway Are Frequent in Classic Hodgkin Lymphoma. Int J Mol Sci 2024; 25:2457. [PMID: 38473705 DOI: 10.3390/ijms25052457] [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: 12/25/2023] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 03/14/2024] Open
Abstract
Classic Hodgkin lymphoma (cHL) constitutes a B-cell neoplasm derived from germinal center lymphocytes. Despite high cure rates (80-90%) obtained with the current multiagent protocols, a significant proportion of cHL patients experience recurrences, characterized by a lower sensitivity to second-line treatments. The genomic background of chemorefractory cHL is still poorly understood, limiting personalized treatment strategies based on molecular features. In this study, using a targeted next-generation sequencing (NGS) panel specifically designed for cHL research, we compared chemosensitive and chemorefractory diagnostic tissue samples of cHL patients. Furthermore, we longitudinally examined paired diagnosis-relapsesamples of chemorefractory cHL in order to define patterns of dynamic evolution and clonal selection. Pathogenic variants in NOTCH1 and NOTCH2 genes frequently arise in cHL. Mutations in genes associated with epigenetic regulation (CREBBP and EP300) are particularly frequent in relapsed/refractory cHL. The appearance of novel clones characterized by mutations previously not identified at diagnosis is a common feature in cHL cases showing chemoresistance to frontline treatments. Our results expand current molecular and pathogenic knowledge of cHL and support the performance of molecular studies in cHL prior to the initiation of first-line therapies.
Collapse
Affiliation(s)
- Antonio Santisteban-Espejo
- Department of Pathology, Puerta del Mar University Hospital, 11009 Cadiz, Spain
- Department of Medicine and Surgery, Faculty of Medicine, University of Cadiz, 11003 Cadiz, Spain
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), 11009 Cadiz, Spain
| | - Irene Bernal-Florindo
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), 11009 Cadiz, Spain
- Department of Pathology, Jerez de la Frontera University Hospital, 11407 Cadiz, Spain
| | - Pedro Montero-Pavon
- Department of Pathology, Jerez de la Frontera University Hospital, 11407 Cadiz, Spain
| | - Jose Perez-Requena
- Department of Pathology, Puerta del Mar University Hospital, 11009 Cadiz, Spain
| | | | | | | | - Marcial Garcia-Rojo
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), 11009 Cadiz, Spain
- Department of Pathology, Jerez de la Frontera University Hospital, 11407 Cadiz, Spain
| |
Collapse
|
4
|
Neagu AN, Whitham D, Bruno P, Arshad A, Seymour L, Morrissiey H, Hukovic AI, Darie CC. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach. Int J Mol Sci 2024; 25:1628. [PMID: 38338903 PMCID: PMC10855488 DOI: 10.3390/ijms25031628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
Known as a diverse collection of neoplastic diseases, breast cancer (BC) can be hyperbolically characterized as a dynamic pseudo-organ, a living organism able to build a complex, open, hierarchically organized, self-sustainable, and self-renewable tumor system, a population, a species, a local community, a biocenosis, or an evolving dynamical ecosystem (i.e., immune or metabolic ecosystem) that emphasizes both developmental continuity and spatio-temporal change. Moreover, a cancer cell community, also known as an oncobiota, has been described as non-sexually reproducing species, as well as a migratory or invasive species that expresses intelligent behavior, or an endangered or parasite species that fights to survive, to optimize its features inside the host's ecosystem, or that is able to exploit or to disrupt its host circadian cycle for improving the own proliferation and spreading. BC tumorigenesis has also been compared with the early embryo and placenta development that may suggest new strategies for research and therapy. Furthermore, BC has also been characterized as an environmental disease or as an ecological disorder. Many mechanisms of cancer progression have been explained by principles of ecology, developmental biology, and evolutionary paradigms. Many authors have discussed ecological, developmental, and evolutionary strategies for more successful anti-cancer therapies, or for understanding the ecological, developmental, and evolutionary bases of BC exploitable vulnerabilities. Herein, we used the integrated framework of three well known ecological theories: the Bronfenbrenner's theory of human development, the Vannote's River Continuum Concept (RCC), and the Ecological Evolutionary Developmental Biology (Eco-Evo-Devo) theory, to explain and understand several eco-evo-devo-based principles that govern BC progression. Multi-omics fields, taken together as onco-breastomics, offer better opportunities to integrate, analyze, and interpret large amounts of complex heterogeneous data, such as various and big-omics data obtained by multiple investigative modalities, for understanding the eco-evo-devo-based principles that drive BC progression and treatment. These integrative eco-evo-devo theories can help clinicians better diagnose and treat BC, for example, by using non-invasive biomarkers in liquid-biopsies that have emerged from integrated omics-based data that accurately reflect the biomolecular landscape of the primary tumor in order to avoid mutilating preventive surgery, like bilateral mastectomy. From the perspective of preventive, personalized, and participatory medicine, these hypotheses may help patients to think about this disease as a process governed by natural rules, to understand the possible causes of the disease, and to gain control on their own health.
Collapse
Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, “Alexandru Ioan Cuza” University of Iași, Carol I bvd. 20A, 700505 Iasi, Romania
| | - Danielle Whitham
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Pathea Bruno
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Aneeta Arshad
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Logan Seymour
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Hailey Morrissiey
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Angiolina I. Hukovic
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| | - Costel C. Darie
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA; (D.W.); (P.B.); (A.A.); (L.S.); (H.M.); (A.I.H.)
| |
Collapse
|
5
|
Laruelle A, Manini C, López JI, Rocha A. Early Evolution in Cancer: A Mathematical Support for Pathological and Genomic Evidence in Clear Cell Renal Cell Carcinoma. Cancers (Basel) 2023; 15:5897. [PMID: 38136439 PMCID: PMC10742011 DOI: 10.3390/cancers15245897] [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: 10/06/2023] [Revised: 11/01/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Clear cell renal cell carcinoma (CCRCC) is an aggressive form of cancer and a paradigmatic example of intratumor heterogeneity (ITH). The hawk-dove game is a mathematical tool designed to analyze competition in biological systems. Using this game, the study reported here analyzes the early phase of CCRCC development, comparing clonal fitness in homogeneous (linear evolutionary) and highly heterogeneous (branching evolutionary) models. Fitness in the analysis is a measure of tumor aggressiveness. The results show that the fittest clone in a heterogeneous environment is fitter than the clone in a homogeneous context in the early phases of tumor evolution. Early and late periods of tumor evolution in CCRCC are also compared. The study shows the convergence of mathematical, histological, and genomics studies with respect to clonal aggressiveness in different periods of the natural history of CCRCC. Such convergence highlights the importance of multidisciplinary approaches for obtaining a better understanding of the intricacies of cancer.
Collapse
Affiliation(s)
- Annick Laruelle
- Department of Economic Analysis, University of the Basque Country (UPV/EHU), 48015 Bilbao, Spain
- IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain
| | - Claudia Manini
- Department of Pathology, San Giovanni Bosco Hospital, ASL Città di Torino, 10154 Turin, Italy;
- Department of Sciences of Public Health and Pediatrics, University of Turin, 10124 Turin, Italy
| | - José I. López
- Biomarkers in Cancer, Biocruces-Bizkaia Health Research Institute, 48903 Barakaldo, Spain;
| | - André Rocha
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro CEP22451-900, Brazil;
| |
Collapse
|
6
|
Kumar H, Gupta NV, Jain R, Madhunapantula SV, Babu CS, Kesharwani SS, Dey S, Jain V. A review of biological targets and therapeutic approaches in the management of triple-negative breast cancer. J Adv Res 2023; 54:271-292. [PMID: 36791960 DOI: 10.1016/j.jare.2023.02.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/23/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) is a heterogeneous, aggressive phenotype of breast cancer with associated chemoresistance. The development of chemo- or radioresistance could be attributed to diverse tumor microenvironments, overexpression of membrane proteins (transporters), epigenetic changes, and alteration of the cell signaling pathways/genes associated with the development of cancer stem cells (CSCs). AIM OF REVIEW Due to the diverse and heterogeneous nature of TNBC, therapeutic response to the existing modalities offers limited scope and thus results in reccurance after therapy. To establish landmark therapeutic efficacy, a number of novel therapeutic modalities have been proposed. In addition, reversal of the resistance that developed during treatment may be altered by employing appropriate therapeutic modalities. This review aims to discuss the plethora of investigations carried out, which will help readers understand and make an appropriate choice of therapy directed toward complete elimination of TNBC. KEY SCIENTIFIC CONCEPTS OF REVIEW This manuscript addresses the major contributory factors from the tumor microenvironment that are responsible for the development of chemoresistance and poor prognosis. The associated cellular events and molecular mechanism-based therapeutic interventions have been explained in detail. Inhibition of ABC transporters, cell signaling pathways associated with CSCs, and epigenetic modification offers promising results in this regard. TNBC progression, invasion, metastasis and recurrence can also be inhibited by blocking multiple cell signaling pathways, targeting specific receptors/epigenetic targets, disrupting bioenergetics and generating reactive oxygen species (ROS).
Collapse
Affiliation(s)
- Hitesh Kumar
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, India
| | - N Vishal Gupta
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, India
| | - Rupshee Jain
- Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, India
| | - SubbaRao V Madhunapantula
- Department of Biochemistry, Centre of Excellence in Molecular Biology & Regenerative Medicine, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru 570015, India
| | - C Saravana Babu
- Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, India
| | | | - Surajit Dey
- Roseman University of Health Sciences, College of Pharmacy, Henderson, NV, USA
| | - Vikas Jain
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 570015, India.
| |
Collapse
|
7
|
Eliason J, Rao A. Investigating Ecological Interactions in the Tumor Microenvironment using Joint Species Distribution Models for Point Patterns. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.14.567108. [PMID: 38014073 PMCID: PMC10680696 DOI: 10.1101/2023.11.14.567108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
The tumor microenvironment (TME) is a complex and dynamic ecosystem that involves interactions between different cell types, such as cancer cells, immune cells, and stromal cells. These interactions can promote or inhibit tumor growth and affect response to therapy. Multitype Gibbs point process (MGPP) models are statistical models used to study the spatial distribution and interaction of different types of objects, such as the distribution of cell types in a tissue sample. Such models are potentially useful for investigating the spatial relationships between different cell types in the tumor microenvironment, but so far studies of the TME using cell-resolution imaging have been largely limited to spatial descriptive statistics. However, MGPP models have many advantages over descriptive statistics, such as uncertainty quantification, incorporation of multiple covariates and the ability to make predictions. In this paper, we describe and apply a previously developed MGPP method, the saturated pairwise interaction Gibbs point process model , to a publicly available multiplexed imaging dataset obtained from colorectal cancer patients. Importantly, we show how these methods can be used as joint species distribution models (JSDMs) to precisely frame and answer many relevant questions related to the ecology of the tumor microenvironment.
Collapse
|
8
|
Brown JS, Amend SR, Austin RH, Gatenby RA, Hammarlund EU, Pienta KJ. Updating the Definition of Cancer. Mol Cancer Res 2023; 21:1142-1147. [PMID: 37409952 PMCID: PMC10618731 DOI: 10.1158/1541-7786.mcr-23-0411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/07/2023]
Abstract
Most definitions of cancer broadly conform to the current NCI definition: "Cancer is a disease in which some of the body's cells grow uncontrollably and spread to other parts of the body." These definitions tend to describe what cancer "looks like" or "does" but do not describe what cancer "is" or "has become." While reflecting past insights, current definitions have not kept pace with the understanding that the cancer cell is itself transformed and evolving. We propose a revised definition of cancer: Cancer is a disease of uncontrolled proliferation by transformed cells subject to evolution by natural selection. We believe this definition captures the essence of the majority of previous and current definitions. To the simplest definition of cancer as a disease of uncontrolled proliferation of cells, our definition adds in the adjective "transformed" to capture the many tumorigenic processes that cancer cells adopt to metastasize. To the concept of uncontrolled proliferation of transformed cells, our proposed definition then adds "subject to evolution by natural selection." The subject to evolution by natural selection modernizes the definition to include the genetic and epigenetic changes that accumulate within a population of cancer cells that lead to the lethal phenotype. Cancer is a disease of uncontrolled proliferation by transformed cells subject to evolution by natural selection.
Collapse
Affiliation(s)
- Joel S. Brown
- Cancer Biology and Evolution Program, Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Sarah R. Amend
- The Cancer Ecology Center, The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Robert H. Austin
- Department of Physics, Princeton University, Princeton, New Jersey
| | - Robert A. Gatenby
- Cancer Biology and Evolution Program, Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Emma U. Hammarlund
- Tissue Development and Evolution Research Group, Department of Experimental Medical Sciences, Lund University, Lund, Sweden
| | - Kenneth J. Pienta
- The Cancer Ecology Center, The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland
| |
Collapse
|
9
|
Moffett AS, Deng Y, Levine H. Modeling the Role of Immune Cell Conversion in the Tumor-Immune Microenvironment. Bull Math Biol 2023; 85:93. [PMID: 37658264 PMCID: PMC10474003 DOI: 10.1007/s11538-023-01201-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023]
Abstract
Tumors develop in a complex physical, biochemical, and cellular milieu, referred to as the tumor microenvironment. Of special interest is the set of immune cells that reciprocally interact with the tumor, the tumor-immune microenvironment (TIME). The diversity of cell types and cell-cell interactions in the TIME has led researchers to apply concepts from ecology to describe the dynamics. However, while tumor cells are known to induce immune cells to switch from anti-tumor to pro-tumor phenotypes, this type of ecological interaction has been largely overlooked. To address this gap in cancer modeling, we develop a minimal, ecological model of the TIME with immune cell conversion, to highlight this important interaction and explore its consequences. A key finding is that immune conversion increases the range of parameters supporting a co-existence phase in which the immune system and the tumor reach a stalemate. Our results suggest that further investigation of the consequences of immune cell conversion, using detailed, data-driven models, will be critical for greater understanding of TIME dynamics.
Collapse
Affiliation(s)
- Alexander S. Moffett
- Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115 USA
- Department of Physics, Northeastern University, Boston, MA 02115 USA
| | - Youyuan Deng
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005 USA
- Applied Physics Graduate Program, Smalley-Curl Institute, Rice University, Houston, TX 77005 USA
| | - Herbert Levine
- Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115 USA
- Department of Physics, Northeastern University, Boston, MA 02115 USA
- Department of Bioengineering, Northeastern University, Boston, MA 02115 USA
| |
Collapse
|
10
|
Neagu AN, Whitham D, Bruno P, Morrissiey H, Darie CA, Darie CC. Omics-Based Investigations of Breast Cancer. Molecules 2023; 28:4768. [PMID: 37375323 DOI: 10.3390/molecules28124768] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic heterogeneity. In-depth investigations into the molecular bases of BC phenotypes, carcinogenesis, progression, and metastasis are necessary for accurate diagnoses, prognoses, and therapy assessments in predictive, precision, and personalized oncology. This review discusses both classic as well as several novel omics fields that are involved or should be used in modern BC investigations, which may be integrated as a holistic term, onco-breastomics. Rapid and recent advances in molecular profiling strategies and analytical techniques based on high-throughput sequencing and mass spectrometry (MS) development have generated large-scale multi-omics datasets, mainly emerging from the three "big omics", based on the central dogma of molecular biology: genomics, transcriptomics, and proteomics. Metabolomics-based approaches also reflect the dynamic response of BC cells to genetic modifications. Interactomics promotes a holistic view in BC research by constructing and characterizing protein-protein interaction (PPI) networks that provide a novel hypothesis for the pathophysiological processes involved in BC progression and subtyping. The emergence of new omics- and epiomics-based multidimensional approaches provide opportunities to gain insights into BC heterogeneity and its underlying mechanisms. The three main epiomics fields (epigenomics, epitranscriptomics, and epiproteomics) are focused on the epigenetic DNA changes, RNAs modifications, and posttranslational modifications (PTMs) affecting protein functions for an in-depth understanding of cancer cell proliferation, migration, and invasion. Novel omics fields, such as epichaperomics or epimetabolomics, could investigate the modifications in the interactome induced by stressors and provide PPI changes, as well as in metabolites, as drivers of BC-causing phenotypes. Over the last years, several proteomics-derived omics, such as matrisomics, exosomics, secretomics, kinomics, phosphoproteomics, or immunomics, provided valuable data for a deep understanding of dysregulated pathways in BC cells and their tumor microenvironment (TME) or tumor immune microenvironment (TIMW). Most of these omics datasets are still assessed individually using distinct approches and do not generate the desired and expected global-integrative knowledge with applications in clinical diagnostics. However, several hyphenated omics approaches, such as proteo-genomics, proteo-transcriptomics, and phosphoproteomics-exosomics are useful for the identification of putative BC biomarkers and therapeutic targets. To develop non-invasive diagnostic tests and to discover new biomarkers for BC, classic and novel omics-based strategies allow for significant advances in blood/plasma-based omics. Salivaomics, urinomics, and milkomics appear as integrative omics that may develop a high potential for early and non-invasive diagnoses in BC. Thus, the analysis of the tumor circulome is considered a novel frontier in liquid biopsy. Omics-based investigations have applications in BC modeling, as well as accurate BC classification and subtype characterization. The future in omics-based investigations of BC may be also focused on multi-omics single-cell analyses.
Collapse
Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Carol I Bvd, No. 20A, 700505 Iasi, Romania
| | - Danielle Whitham
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA
| | - Pathea Bruno
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA
| | - Hailey Morrissiey
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA
| | - Celeste A Darie
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA
| | - Costel C Darie
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA
| |
Collapse
|
11
|
Hamis S, Somervuo P, Ågren JA, Tadele DS, Kesseli J, Scott JG, Nykter M, Gerlee P, Finkelshtein D, Ovaskainen O. Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems. J Math Biol 2023; 86:68. [PMID: 37017776 PMCID: PMC10076412 DOI: 10.1007/s00285-023-01903-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 01/13/2023] [Accepted: 03/09/2023] [Indexed: 04/06/2023]
Abstract
Theoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from theoretical ecology, describe population dynamics generated by a specific family of IBMs, namely spatio-temporal point processes (STPPs). SCMs are spatially resolved population models formulated by a system of differential equations that approximate the dynamics of two STPP-generated summary statistics: first-order spatial cumulants (densities), and second-order spatial cumulants (spatial covariances). We exemplify how SCMs can be used in mathematical oncology by modelling theoretical cancer cell populations comprising interacting growth factor-producing and non-producing cells. To formulate model equations, we use computational tools that enable the generation of STPPs, SCMs and mean-field population models (MFPMs) from user-defined model descriptions (Cornell et al. Nat Commun 10:4716, 2019). To calculate and compare STPP, SCM and MFPM-generated summary statistics, we develop an application-agnostic computational pipeline. Our results demonstrate that SCMs can capture STPP-generated population density dynamics, even when MFPMs fail to do so. From both MFPM and SCM equations, we derive treatment-induced death rates required to achieve non-growing cell populations. When testing these treatment strategies in STPP-generated cell populations, our results demonstrate that SCM-informed strategies outperform MFPM-informed strategies in terms of inhibiting population growths. We thus demonstrate that SCMs provide a new framework in which to study cell-cell interactions, and can be used to describe and perturb STPP-generated cell population dynamics. We, therefore, argue that SCMs can be used to increase IBMs' applicability in cancer research.
Collapse
Affiliation(s)
- Sara Hamis
- Tampere Institute for Advanced Study, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
| | - Panu Somervuo
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - J Arvid Ågren
- Department of Evolutionary Biology, Uppsala University, Uppsala, Sweden
- Department of Translational Hematology and Oncology Research, Cleveland Clinic, Cleveland, OH, USA
| | - Dagim Shiferaw Tadele
- Department of Translational Hematology and Oncology Research, Cleveland Clinic, Cleveland, OH, USA
- Department for Medical Genetics, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Juha Kesseli
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Jacob G Scott
- Department of Translational Hematology and Oncology Research, Cleveland Clinic, Cleveland, OH, USA
- Case Western Reserve School of Medicine, Cleveland, OH, USA
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Matti Nykter
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- Foundation for the Finnish Cancer Institute, Helsinki, Finland
| | - Philip Gerlee
- Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
- Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Dmitri Finkelshtein
- Department of Mathematics, Faculty of Science and Engineering, Swansea University, Swansea, UK
| | - Otso Ovaskainen
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
- Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway
| |
Collapse
|
12
|
Swiatczak B. Evolution within the body: the rise and fall of somatic Darwinism in the late nineteenth century. HISTORY AND PHILOSOPHY OF THE LIFE SCIENCES 2023; 45:8. [PMID: 36862350 DOI: 10.1007/s40656-023-00566-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 11/25/2022] [Indexed: 06/18/2023]
Abstract
Originating in the work of Ernst Haeckel and Wilhelm Preyer, and advanced by a Prussian embryologist, Wilhelm Roux, the idea of struggle for existence between body parts helped to establish a framework, in which population cell dynamics rather than a predefined harmony guides adaptive changes in an organism. Intended to provide a causal-mechanical view of functional adjustments in body parts, this framework was also embraced later by early pioneers of immunology to address the question of vaccine effectiveness and pathogen resistance. As an extension of these early efforts, Elie Metchnikoff established an evolutionary vision of immunity, development, pathology, and senescence, in which phagocyte-driven selection and struggle promote adaptive changes in an organism. Despite its promising start, the idea of somatic evolution lost its appeal at the turn of the twentieth century giving way to a vision, in which an organism operates as a genetically uniform, harmonious entity.
Collapse
Affiliation(s)
- Bartlomiej Swiatczak
- Department of History of Science and Scientific Archaeology, University of Science and Technology of China, 96 Jinzhai Rd. 230026, Hefei, P. R. China.
| |
Collapse
|
13
|
Pathology and the evolutionary dynamics of clear cell renal cell carcinoma. Transl Oncol 2022; 27:101601. [PMID: 36481606 PMCID: PMC9727696 DOI: 10.1016/j.tranon.2022.101601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/10/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022] Open
Abstract
Cancer is an ecosystem whose intrinsic mechanisms do not show up under the microscope of pathologists. However, the information provided by pathologists is absolutely necessary for the correct implementation of personalized treatments. This short paper seeks to analyze this apparent paradox, i.e. static snapshots for making crucial decisions in essentially dynamic diseases, taking clear cell renal cell carcinoma as a paradigmatic example of tumor variability. We seek to call the attention of pathologists and other cancer-related medical specialists to extend knowledge of the evolutionary features of the disease to help obtain a better understanding of why cancer behaves as it does.
Collapse
|
14
|
Santisteban-Espejo A, Bernal-Florindo I, Perez-Requena J, Atienza-Cuevas L, Maira-Gonzalez N, Garcia-Rojo M. Whole-slide image analysis identifies a high content of Hodgkin Reed-Sternberg cells and a low content of T lymphocytes in tumor microenvironment as predictors of adverse outcome in patients with classic Hodgkin lymphoma treated with ABVD. Front Oncol 2022; 12:1000762. [PMID: 36338756 PMCID: PMC9631766 DOI: 10.3389/fonc.2022.1000762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Classic Hodgkin lymphoma (cHL) constitutes the most frequent lymphoma in young adults. Its histopathology is unique as a scattered tumor population, termed Hodgkin Reed-Sternberg (HRS) cells is diluted in a prominent tumor microenvironment (TME) composed of T lymphocytes, B lymphocytes, macrophages, neutrophils, eosinophils and histiocytes. Traditionally, the identification of prognostic biomarkers in the cHL TME has required visual inspection and manual counting by pathologists. The advent of whole-slide imaging (WSI) and digital image analysis methods could significantly contribute to improve this essential objective in cHL research, as a 10-20% of patients are still refractory or relapsed after conventional chemotherapy. In this work, we have digitized a total of 255 diagnostic cHL slides and quantified the proportion of HRS cells (CD30), B cells (CD20) and T cells (CD3) by digital image analysis. Data obtained where then correlated with the overall survival (OS) and progression free survival (PFS) of cHL patients. Quantification of HRS cells, B cells and T cells reflects the biological heterogeneity of the different cHL histological subtypes analyzed. A percentage of 2.00% of HRS cells statistically significantly discriminated between patients achieving a complete metabolic response (CMR) and refractory or relapsed (R/R) patients both for the OS (P=0.001) and PFS (P=0.005). Furthermore, patients with a percentage of T cells below the 26.70% in the TME showed a statistically significantly shorter OS (P=0.019) and PFS (P=0.041) in comparison with patients above this threshold. A subgroup of patients with a low content of T cells and high content of HRS cells exhibited a special aggressive clinical course. Currently, there is the need to implement quantitative and easy scalable methods to enhance clinical translation, as the cHL TME plays a central role in the clinical course of the disease. The results of this study could contribute to the identification of prognostic biomarkers specifically looking at the cHL TME and their inclusion in future clinical trials.
Collapse
Affiliation(s)
- Antonio Santisteban-Espejo
- Department of Pathology, Puerta del Mar University Hospital, Cadiz, Spain
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), Cadiz, Spain
- Department of Medicine, Faculty of Medicine, University of Cadiz, Cadiz, Spain
| | - Irene Bernal-Florindo
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), Cadiz, Spain
- Department of Pathology, Jerez de la Frontera University Hospital, Cadiz, Spain
- *Correspondence: Irene Bernal-Florindo,
| | - Jose Perez-Requena
- Department of Pathology, Puerta del Mar University Hospital, Cadiz, Spain
| | | | | | - Marcial Garcia-Rojo
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), Cadiz, Spain
- Department of Pathology, Jerez de la Frontera University Hospital, Cadiz, Spain
| |
Collapse
|
15
|
Manini C, López JI. Ecology and games in cancer: new insights into the disease. Pathologica 2022; 114:347-351. [PMID: 36305020 PMCID: PMC9614302 DOI: 10.32074/1591-951x-798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 08/14/2022] [Indexed: 06/16/2023] Open
Affiliation(s)
- Claudia Manini
- Department of Pathology, San Giovanni Bosco Hospital, Turin, Italy
- Department of Sciences of Public Health and Pediatrics, University of Turin, Turin, Italy
| | - José I. López
- Biomarkers in Cancer Unit, Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain
| |
Collapse
|
16
|
Ma Z(S, Zhang YP. Ecology of Human Medical Enterprises: From Disease Ecology of Zoonoses, Cancer Ecology Through to Medical Ecology of Human Microbiomes. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.879130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In nature, the interaction between pathogens and their hosts is only one of a handful of interaction relationships between species, including parasitism, predation, competition, symbiosis, commensalism, and among others. From a non-anthropocentric view, parasitism has relatively fewer essential differences from the other relationships; but from an anthropocentric view, parasitism and predation against humans and their well-beings and belongings are frequently related to heinous diseases. Specifically, treating (managing) diseases of humans, crops and forests, pets, livestock, and wildlife constitute the so-termed medical enterprises (sciences and technologies) humans endeavor in biomedicine and clinical medicine, veterinary, plant protection, and wildlife conservation. In recent years, the significance of ecological science to medicines has received rising attentions, and the emergence and pandemic of COVID-19 appear accelerating the trend. The facts that diseases are simply one of the fundamental ecological relationships in nature, and the study of the relationships between species and their environment is a core mission of ecology highlight the critical importance of ecological science. Nevertheless, current studies on the ecology of medical enterprises are highly fragmented. Here, we (i) conceptually overview the fields of disease ecology of wildlife, cancer ecology and evolution, medical ecology of human microbiome-associated diseases and infectious diseases, and integrated pest management of crops and forests, across major medical enterprises. (ii) Explore the necessity and feasibility for a unified medical ecology that spans biomedicine, clinical medicine, veterinary, crop (forest and wildlife) protection, and biodiversity conservation. (iii) Suggest that a unified medical ecology of human diseases is both necessary and feasible, but laissez-faire terminologies in other human medical enterprises may be preferred. (iv) Suggest that the evo-eco paradigm for cancer research can play a similar role of evo-devo in evolutionary developmental biology. (v) Summarized 40 key ecological principles/theories in current disease-, cancer-, and medical-ecology literatures. (vi) Identified key cross-disciplinary discovery fields for medical/disease ecology in coming decade including bioinformatics and computational ecology, single cell ecology, theoretical ecology, complexity science, and the integrated studies of ecology and evolution. Finally, deep understanding of medical ecology is of obvious importance for the safety of human beings and perhaps for all living things on the planet.
Collapse
|
17
|
Manini C, López-Fernández E, Lawrie CH, Laruelle A, Angulo JC, López JI. Clear Cell Renal Cell Carcinomas with Aggressive Behavior Display Low Intratumor Heterogeneity at the Histological Level. Curr Urol Rep 2022; 23:93-97. [PMID: 35416538 DOI: 10.1007/s11934-022-01095-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2022] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW Intratumor heterogeneity (ITH) is an inherent characteristic of most tumors and its detection remains a key task for pathologists. However, the clinical significance of the degree of development of this feature is still poorly understood. RECENT FINDINGS A series of 28 clear cell renal cell carcinomas (CCRCC) have been exhaustively analyzed with two different sampling protocols [multisite tumor sampling (MSTS) and total sampling] to evaluate to what point the level (low vs. high) of histological ITH detected in routine practice influences tumor behavior and patients' survival. All CCRCC (n = 14) pursuing an aggressive clinical course presented low levels of ITH. A significant worse survival was detected in CCRCC with low ITH (p < 0.001). The simple quantification of the level of ITH using extensive sampling protocol may be of help in predicting tumor evolution, since all CCRCC with aggressive behavior demonstrated low levels of histological ITH.
Collapse
Affiliation(s)
- Claudia Manini
- Department of Pathology, San Giovanni Bosco Hospital, 10154, Turin, Italy.,Department of Sciences of Public Health and Pediatrics, University of Turin, 10124, Turin, Italy
| | - Estíbaliz López-Fernández
- FISABIO Foundation, 46020, Valencia, Spain.,Department of Health Sciences, European University of Valencia, 46023, Valencia, Spain
| | - Charles H Lawrie
- Molecular Oncology Group, Biodonostia Research Institute, 20014, San Sebastian, Gipuzkoa, Spain.,Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9BQ, UK.,Basque Foundation for Science, IKERBASQUE, 48011, Bilbao, Bizkaia, Spain
| | - Annick Laruelle
- Basque Foundation for Science, IKERBASQUE, 48011, Bilbao, Bizkaia, Spain.,Department of Economic Analysis, University of the Basque Country (UPV/EHU), 48015, Bilbao, Spain
| | - Javier C Angulo
- Clinical Department, Faculty of Medical Sciences, European University of Madrid, 28005, Madrid, Spain.,Department of Urology, University Hospital of Getafe, 28907, Getafe, Madrid, Spain
| | - José I López
- Department of Pathology, Cruces University Hospital, Plaza de Cruces S/N, 48903, Barakaldo, Bizkaia, Spain. .,Biomarkers in Cancer Group, Biocruces-Bizkaia Research Institute, 48903, Barakaldo, Spain.
| |
Collapse
|
18
|
Yan Q. The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine. Methods Mol Biol 2022; 2547:141-163. [PMID: 36068463 DOI: 10.1007/978-1-0716-2573-6_6] [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] [Indexed: 06/15/2023]
Abstract
The enormous heterogeneity of cancer systems has made it very challenging to overcome drug resistance and adverse reactions to achieve personalized therapies. Recent developments in systems biology, especially the perception of cancer as the complex adaptive system (CAS), may help meet the challenges by deciphering the interactions at various levels from the molecular, cellular, tissue-organ, to the whole organism. The ubiquitous Yin-Yang interactions among the coevolving components, including the genes and proteins, decide their spatiotemporal features at various stages from cancer initiation to metastasis. The Yin-Yang imbalances across different systems levels, from genetic mutations to tumor cells adaptation, have been related to the intra- and inter-tumoral heterogeneity in the micro- and macro-environments. At the molecular and cellular levels, dysfunctional Yin-Yang dynamics in the cytokine networks, mitochondrial activities, redox systems, apoptosis, and metabolism can contribute to tumor cell growth and escape of immune surveillance. Up to the organism and system levels, the Yin-Yang imbalances in the cancer microenvironments can lead to different phenotypes from breast cancer to leukemia. These factors may be considered the systems-based biomarkers and treatment targets. The features of adaptation and nonlinearity in Yin-Yang dynamical interactions should be addressed by individualized drug combinations, dosages, intensities, timing, and frequencies at different cancer stages. The comprehensive "Yin-Yang dynamics" framework would enable powerful approaches for personalized and systems medicine strategies.
Collapse
|
19
|
Wu Y, Cheng Y, Wang X, Fan J, Gao Q. Spatial omics: Navigating to the golden era of cancer research. Clin Transl Med 2022; 12:e696. [PMID: 35040595 PMCID: PMC8764875 DOI: 10.1002/ctm2.696] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 12/11/2021] [Accepted: 12/20/2021] [Indexed: 12/15/2022] Open
Abstract
The idea that tumour microenvironment (TME) is organised in a spatial manner will not surprise many cancer biologists; however, systematically capturing spatial architecture of TME is still not possible until recent decade. The past five years have witnessed a boom in the research of high-throughput spatial techniques and algorithms to delineate TME at an unprecedented level. Here, we review the technological progress of spatial omics and how advanced computation methods boost multi-modal spatial data analysis. Then, we discussed the potential clinical translations of spatial omics research in precision oncology, and proposed a transfer of spatial ecological principles to cancer biology in spatial data interpretation. So far, spatial omics is placing us in the golden age of spatial cancer research. Further development and application of spatial omics may lead to a comprehensive decoding of the TME ecosystem and bring the current spatiotemporal molecular medical research into an entirely new paradigm.
Collapse
Affiliation(s)
- Yingcheng Wu
- Center for Tumor Diagnosis & Therapy and Department of Cancer CenterJinshan Hospital and Jinshan Branch of Zhongshan HospitalZhongshan HospitalFudan UniversityShanghai200540China
- Department of Liver Surgery and Transplantationand Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education)Liver Cancer InstituteZhongshan HospitalFudan UniversityShanghaiChina
| | - Yifei Cheng
- Department of Liver Surgery and Transplantationand Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education)Liver Cancer InstituteZhongshan HospitalFudan UniversityShanghaiChina
| | - Xiangdong Wang
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital Institute for Clinical ScienceShanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesJinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
| | - Jia Fan
- Department of Liver Surgery and Transplantationand Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education)Liver Cancer InstituteZhongshan HospitalFudan UniversityShanghaiChina
- Key Laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical Sciences, Fudan UniversityShanghaiChina
- State Key Laboratory of Genetic EngineeringFudan UniversityShanghaiChina
| | - Qiang Gao
- Center for Tumor Diagnosis & Therapy and Department of Cancer CenterJinshan Hospital and Jinshan Branch of Zhongshan HospitalZhongshan HospitalFudan UniversityShanghai200540China
- Department of Liver Surgery and Transplantationand Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education)Liver Cancer InstituteZhongshan HospitalFudan UniversityShanghaiChina
- Key Laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical Sciences, Fudan UniversityShanghaiChina
- State Key Laboratory of Genetic EngineeringFudan UniversityShanghaiChina
| |
Collapse
|
20
|
Laruelle A, Manini C, Iñarra E, López JI. Metastasis, an Example of Evolvability. Cancers (Basel) 2021; 13:cancers13153653. [PMID: 34359555 PMCID: PMC8345027 DOI: 10.3390/cancers13153653] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/20/2021] [Accepted: 07/20/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Cancer is a complex disease. Modern molecular technologies are progressively unveiling its genetic and epigenetic complexity, but still many key issues remain unknown. Considering cancer as a social dysfunction in a community of individuals has provided new perspectives of analysis with promising results. This narrative considers both approaches with respect to the metastatic process, the final cause of death in most patients affected by this disease. Abstract This overview focuses on two different perspectives to analyze the metastatic process taking clear cell renal cell carcinoma as a model, molecular and ecological. On the one hand, genomic analyses have demonstrated up to seven different constrained routes of tumor evolution and two different metastatic patterns. On the other hand, game theory applied to cell encounters within a tumor provides a sociological perspective of the possible behaviors of individuals (cells) in a collectivity. This combined approach provides a more comprehensive understanding of the complex rules governing a neoplasm.
Collapse
Affiliation(s)
- Annick Laruelle
- Department of Economic Analysis, University of the Basque Country (UPV/EHU), 48015 Bilbao, Spain; (A.L.); (E.I.)
- IKERBASQUE, Basque Foundation of Science, 48011 Bilbao, Spain
| | - Claudia Manini
- Department of Pathology, San Giovanni Bosco Hospital, 10154 Turin, Italy;
| | - Elena Iñarra
- Department of Economic Analysis, University of the Basque Country (UPV/EHU), 48015 Bilbao, Spain; (A.L.); (E.I.)
- Public Economic Institute, University of the Basque Country (UPV/EHU), 48015 Bilbao, Spain
| | - José I. López
- Department of Pathology, Cruces University Hospital, 48903 Barakaldo, Spain
- Biocruces-Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Correspondence:
| |
Collapse
|
21
|
Wu DJ. Oversupply of Limiting Cell Resources and the Evolution of Cancer Cells: A Review. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.653622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Cancer prevention is superior to cancer treatment—indeed, understanding and controlling cancer risk is a key question in the fields of applied ecology and evolutionary oncology. Ecological cancer risk models offer the dual benefit of being generalizable across cancer types, and unveiling common mechanisms underlying cancer development and spread. Understanding the biological mechanisms of cancer risk may also guide the design of interventions to prevent cancer. Ecological considerations are central to many of these mechanisms; as one example, the ecologically-based hypothesis of metabolic cancer suppression posits that restricted vascular supply of limiting resources to somatic tissues normally suppresses the evolution of somatic cells toward cancer. Here we present a critical review of published evidence relevant to this hypothesis, and we conclude that there is substantial evidence that cancer risk does increase with an abnormal excess of limiting cell resources, including both dietary macronutrients as well as certain micronutrients.
Collapse
|