Nasopharyngeal carcinoma ecology theory: cancer as multidimensional spatiotemporal “unity of ecology and evolution” pathological ecosystem DOI Creative Commons
Weiren Luo

Theranostics, Journal Year: 2023, Volume and Issue: 13(5), P. 1607 - 1631

Published: Jan. 1, 2023

Nasopharyngeal carcinoma (NPC) is a particular entity of head neck cancer that generally regarded as genetic disease with diverse intertumor and intratumor heterogeneity. This perspective review mainly outlines the up-to-date knowledge ecology NPC progression, presents number conceptual stepping-stones. At beginning, I explicitly advocate nature (cancer) not but an ecological disease: multidimensional spatiotemporal "unity evolution" pathological ecosystem. The hallmarks proposed to act factors population fitness. Subsequently, cells are described invasive species its metastasis multidirectional dispersal. foundational principles include intraspecific relationship (e.g. communication) interspecific competition, predation, parasitism mutualism) interpreted understand progression. "Mulberry-fish-ponds" model can well illustrate dynamic reciprocity Tumor-host interface transition zone cancer, tumor buddings should be recognized islands separated from mainland. It noted tumor-host has significantly molecular functional edge effect because curvature irregularity. Selection driving therapy including hyperthermia for patients, future perspectives in such field "ecological pathology", "multidimensional tumoriecology" also discussed. advance "nothing evolution or makes sense except light other". tree constructed comprehensively point out research direction. Taken together, establishment theory might provide novel framework paradigm our understanding complex causal process potential preventive therapeutic applications patients.

Language: Английский

A framework for advancing our understanding of cancer-associated fibroblasts DOI Creative Commons
Erik Sahai, Igor Astsaturov, Edna Cukierman

et al.

Nature reviews. Cancer, Journal Year: 2020, Volume and Issue: 20(3), P. 174 - 186

Published: Jan. 24, 2020

Abstract Cancer-associated fibroblasts (CAFs) are a key component of the tumour microenvironment with diverse functions, including matrix deposition and remodelling, extensive reciprocal signalling interactions cancer cells crosstalk infiltrating leukocytes. As such, they potential target for optimizing therapeutic strategies against cancer. However, many challenges present in ongoing attempts to modulate CAFs benefit. These include limitations our understanding origin heterogeneity CAF function, it being desirable retain some antitumorigenic functions. On basis meeting experts field biology, we summarize this Consensus Statement current knowledge framework advancing critical cell type within microenvironment.

Language: Английский

Citations

2777

Turning foes to friends: targeting cancer-associated fibroblasts DOI
Xueman Chen, Erwei Song

Nature Reviews Drug Discovery, Journal Year: 2018, Volume and Issue: 18(2), P. 99 - 115

Published: Nov. 23, 2018

Language: Английский

Citations

1431

Breast cancer development and progression: Risk factors, cancer stem cells, signaling pathways, genomics, and molecular pathogenesis DOI Creative Commons
Yixiao Feng,

Mia Spezia,

Shifeng Huang

et al.

Genes & Diseases, Journal Year: 2018, Volume and Issue: 5(2), P. 77 - 106

Published: May 12, 2018

As the most commonly occurring cancer in women worldwide, breast poses a formidable public health challenge on global scale. Breast consists of group biologically and molecularly heterogeneous diseases originated from breast. While risk factors associated with this varies respect to other cancers, genetic predisposition, notably mutations

Language: Английский

Citations

1179

A compendium of mutational cancer driver genes DOI
Francisco Martínez-Jiménez, Ferran Muiños, Inés Sentís

et al.

Nature reviews. Cancer, Journal Year: 2020, Volume and Issue: 20(10), P. 555 - 572

Published: Aug. 10, 2020

Language: Английский

Citations

1006

Targeting the tumour stroma to improve cancer therapy DOI

Kenneth C. Valkenburg,

Amber E. de Groot, Kenneth J. Pienta

et al.

Nature Reviews Clinical Oncology, Journal Year: 2018, Volume and Issue: 15(6), P. 366 - 381

Published: April 12, 2018

Language: Английский

Citations

911

Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer DOI Creative Commons
Lichun Ma,

Maria O. Hernandez,

Yongmei Zhao

et al.

Cancer Cell, Journal Year: 2019, Volume and Issue: 36(4), P. 418 - 430.e6

Published: Oct. 1, 2019

Cellular diversity in tumors is a key factor for therapeutic failures and lethal outcomes of solid malignancies. Here, we determined the single-cell transcriptomic landscape liver cancer biospecimens from 19 patients. We found varying degrees heterogeneity malignant cells within between diverse landscapes tumor microenvironment (TME). Strikingly, with higher were associated patient's worse overall survival. link hypoxia-dependent vascular endothelial growth expression TME polarization. Moreover, T heterogeneous showed lower cytolytic activities. Consistent results using bulk genomic profiles 765 tumors. Our offer insight into ecosystem its impact on patient prognosis.

Language: Английский

Citations

617

Prostate-specific Membrane Antigen Heterogeneity and DNA Repair Defects in Prostate Cancer DOI Creative Commons
Alec Paschalis,

Beshara Sheehan,

Ruth Riisnaes

et al.

European Urology, Journal Year: 2019, Volume and Issue: 76(4), P. 469 - 478

Published: July 22, 2019

Prostate-specific membrane antigen (PSMA; folate hydrolase) prostate cancer (PC) expression has theranostic utility. To elucidate PC PSMA and associate this with defective DNA damage repair (DDR). Membranous (mPSMA) was scored immunohistochemically from metastatic castration-resistant (mCRPC) matching, same-patient, diagnostic biopsies, correlated next-generation sequencing (NGS) clinical outcome data. Expression of mPSMA quantitated by modified H-score. Patient tested NGS. Gene activity scores were determined mCRPC transcriptomes. Statistical correlations utilised Wilcoxon signed rank tests, survival estimated Kaplan-Meier test, sample heterogeneity quantified Shannon's diversity index. at diagnosis associated higher Gleason grade (p = 0.04) worse overall 0.006). Overall, levels increased (median H-score [interquartile range]: castration-sensitive [CSPC] 17.5 [0.0–60.0] vs 55.0 [2.8–117.5]). Surprisingly, 42% (n 16) CSPC 27% tissues sampled had no detectable (H-score <10). Marked intratumour expression, foci containing PSMA, observed in all expressing (100%) 37 (84%) biopsies. Heterogeneous intrapatient between metastases also observed, the lowest liver metastases. Tumours DDR 0.016; 87.5 [25.0–247.5] 20 [0.3–98.8]; difference medians 60 [5.0–95.0]); validation cohort studies confirmed patients deleterious aberrations BRCA2 < 0.001; median H-score: 300 [165–300]; 195.0 [100.0–270.0]) ATM 0.005; 212.5 [136.3–300]; 140.0 [55.0–200]) than molecularly unselected biopsies (55.0 [2.75–117.5]). Validation using transcriptomes corroborated these findings, indicating that SOX2 high tumours have low expression. is upregulated some but not PCs, demonstrating marked inter- heterogeneity. are merit further evaluation as predictive biomarkers response for PSMA-targeted therapies larger, prospective cohorts. Through analysis samples, we report presence prostate-specific (PSMA) extremely variable both within one patient different patients. This may limit usefulness scans therapies. We show first time cancers produce more so respond better to PSMA-targeting treatments.

Language: Английский

Citations

361

Genomic and phenotypic heterogeneity in prostate cancer DOI
Michael C. Haffner, Wilbert Zwart, Martine P. Roudier

et al.

Nature Reviews Urology, Journal Year: 2020, Volume and Issue: 18(2), P. 79 - 92

Published: Dec. 16, 2020

Language: Английский

Citations

360

A Review of Cell-Based Computational Modeling in Cancer Biology DOI Creative Commons
John Metzcar, Yafei Wang, Randy Heiland

et al.

JCO Clinical Cancer Informatics, Journal Year: 2019, Volume and Issue: 3, P. 1 - 13

Published: Feb. 4, 2019

Cancer biology involves complex, dynamic interactions between cancer cells and their tissue microenvironments. Single-cell effects are critical drivers of clinical progression. Chemical mechanical communication tumor stromal can co-opt normal physiologic processes to promote growth invasion. cell heterogeneity increases cancer's ability test strategies adapt microenvironmental stresses. Hypoxia treatment select for stem drive invasion resistance. Cell-based computational models (also known as discrete models, agent-based or individual-based models) simulate individual they interact in virtual tissues, which allows us explore how single-cell behaviors lead the dynamics we observe work control systems. In this review, introduce broad range techniques available cell-based modeling. The approaches from highly detailed just a few morphologies millions simpler three-dimensional tissues. Modeling directly translate biologic observations into simulation rules. many cases, agents include molecular-scale models. Most also transport oxygen, drugs, factors, allow link development conditions. We illustrate these methods with examples drawn hypoxia, angiogenesis, invasion, cells, immunosurveillance. An ecosystem interoperable tools is emerging at time when cloud computing resources make software easier access supercomputing large-scale studies possible. As field develops, anticipate that high-throughput will rapidly space possibilities, prescreen new therapeutic strategies, even re-engineer bring systems under control.

Language: Английский

Citations

333

Molecular pathogenesis and systemic therapies for hepatocellular carcinoma DOI
Josep M. Llovet, Roser Pinyol, Robin Kate Kelley

et al.

Nature Cancer, Journal Year: 2022, Volume and Issue: 3(4), P. 386 - 401

Published: April 28, 2022

Language: Английский

Citations

286