The DOI matches its Crossref record; 266 of the 266 references it cites were found in a registry or an index.
Obesity and cancer—extracellular matrix, angiogenesis, and adrenergic signaling as unusual suspects linking the two diseases
Open accessAbstract
Obesity is an established risk factor for several human cancers. Given the association between excess body weight and cancer, the increasing rates of obesity worldwide are worrisome. A variety of obesity-related factors has been implicated in cancer initiation, progression, and response to therapy. These factors include circulating nutritional factors, hormones, and cytokines, causing hyperinsulinemia, inflammation, and adipose tissue dysfunction. The impact of these conditions on cancer development and progression has been the focus of extensive literature. In this review, we concentrate on processes that can link obesity and cancer, and which provide a novel perspective: extracellular matrix remodeling, angiogenesis, and adrenergic signaling. We describe molecular mechanisms involved in these processes, which represent putative targets for intervention. Liver, pancreas, and breast cancers were chosen as exemplary disease models. In view of the expanding epidemic of obesity, a better understanding of the tumorigenic process in obese individuals might lead to more effective treatments and preventive measures.
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“Obesity is associated with chronic low-grade inflammation and a plethora of metabolic dysfunctions such as insulin resistance, impaired glucose tolerance and hypertension.”
From A deep-learning framework reveals whole-body perturbations at cell level (2026) · cites this paper as [13]
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“Obesity increases the risk of developing secondary comorbidities, including type 2 diabetes, peripheral neuropathies, cardiovascular diseases, stroke and numerous cancer types12,13, underscoring the systemic effects of excess body fat and the need for holistic characterizations of the underlying structural and cellular changes.”
From A deep-learning framework reveals whole-body perturbations at cell level (2026) · cites this paper as [13]
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1 retracted
Hou, M., Cui, J., Liu, J., Liu, F., Jiang, R., Liu, K., Wang, Y., Li, Y., Liu, W., & Yu, B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085808 · Cited by 73
RetractedBray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma
Finn, R. S., Qin, S., Ikeda, M., Galle, P. R., Ducreux, M., Kim, T.-Y., Kudo, M., Breder, V., Merle, P., Kaseb, A. O., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915745 · Cited by 7,470
Patterns and emerging mechanisms of the angiogenic switch during tumorigenesis
Hanahan, D., & Folkman, J. (1996) · Cell · doi:10.1016/s0092-8674(00)80108-7 · Cited by 6,885
A New Era of Systemic Therapy for Hepatocellular Carcinoma with Regorafenib and Lenvatinib
Kudo, M. (2017) · Liver Cancer · doi:10.1159/000462153 · Cited by 5,974
TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells
Mariathasan, S., Turley, S. J., Nickles, D., Castiglioni, A., Yuen, K., Wang, Y., Kadel III, E. E., Koeppen, H., Astarita, J. L., Cubas, R., et al. (2018) · Nature · doi:10.1038/nature25501 · Cited by 5,400
Foulkes, W. D., Smith, I. E., & Reis-Filho, J. S. (2010) · New England Journal of Medicine · doi:10.1056/nejmra1001389 · Cited by 4,719
Cited by
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Update on Adipose Tissue and Cancer
Brown, K. A., & Scherer, P. E. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnad015 · Cited by 147
Ziqubu, K., Dludla, P. V., Mthembu, S. X. H., Nkambule, B. B., Mabhida, S. E., Jack, B. U., Nyambuya, T. M., & Mazibuko-Mbeje, S. E. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1114767 · Cited by 107
Obesity: pathophysiology and therapeutic interventions
Kong, Y., Yang, H., Nie, R., Zhang, X., Zuo, F., Zhang, H., & Nian, X. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00264-9 · Cited by 89
Lee‐Rueckert, M., Canyelles, M., Tondo, M., Rotllán, N., Kovanen, P. T., Llorente‐Cortés, V., & Escolá‐Gil, J. C. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.05.002 · Cited by 68
Lathigara, D., Kaushal, D., & Wilson, R. B. (2023) · Metabolites · doi:10.3390/metabo13050675 · Cited by 64
Metadata
- Authors
- Pellegata, N. S., Berriel Diaz, M., Rohm, M., & Herzig, S.
- Affiliations
- University Hospital Heidelberg (DE)
- Corresponding author
- Herzig, Stephan
- Venue
- Cancer and Metastasis Reviews
- Published
- 2022-09
- Volume
- 41
- Issue
- 3
- Pages
- 517-547
- ISSN
- 0167-7659 (ISSN-L)
- 1573-7233
- PMC
- PMC9470659
- OpenAlex
- W4294992477
- Cited by
- 33
- References
- 266
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 6 · 2023: 12
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Cancer and Metastasis Reviews (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- Site cant be reached (submittedVersion, cc-by)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Funders
- Deutsche Krebshilfe (70115158)
- H2020 European Research Council (949017)
- Helmholtz Association (Initiative, Networking Fund)
- European Foundation for the Study of Diabetes
- Helmholtz Future Topic Aging and Metabolic Programming (AMPro, ZT-0026)
- Else-Kröner-Fresenius-Stiftung (2020 EKSE.23)
- Edith-Haberland-Wagner Stiftung
- DFG (CRC/Transregio 205/2 314061271)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- obesity, cancer, extracellular matrix remodeling, angiogenesis, adrenergic signaling, obesity-related cancer risk, liver cancer, pancreatic cancer, breast cancer, inflammation, hyperinsulinemia, adipose tissue dysfunction, tumor progression
- MeSH terms
- Adipose Tissue, Extracellular Matrix, Humans, Neoplasms, Obesity, Adrenergic Agents
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