The DOI matches its Crossref record; 228 of the 228 references it cites were found in a registry or an index.
How the ageing microenvironment influences tumour progression
Open accessAbstract
Most cancers arise in individuals over the age of 60. As the world population is living longer and reaching older ages, cancer is becoming a substantial public health problem. It is estimated that, by 2050, more than 20% of the world's population will be over the age of 60 - the economic, healthcare and financial burdens this may place on society are far from trivial. In this Review, we address the role of the ageing microenvironment in the promotion of tumour progression. Specifically, we discuss the cellular and molecular changes in non-cancerous cells during ageing, and how these may contribute towards a tumour permissive microenvironment; these changes encompass biophysical alterations in the extracellular matrix, changes in secreted factors and changes in the immune system. We also discuss the contribution of these changes to responses to cancer therapy as ageing predicts outcomes of therapy, including survival. Yet, in preclinical studies, the contribution of the aged microenvironment to therapy response is largely ignored, with most studies designed in 8-week-old mice rather than older mice that reflect an age appropriate to the disease being modelled. This may explain, in part, the failure of many successful preclinical therapies upon their translation to the clinic. Overall, the intention of this Review is to provide an overview of the interplay that occurs between ageing cell types in the microenvironment and cancer cells and how this is likely to impact tumour metastasis and therapy response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“In addition to the accumulation of genomic mutations over time, age-related cellular senescence also contributes to cancer development and progression (2).”
From Chromatin conformational changes at human satellite II contribute to the senescence phenotype in the tumor microenvironment (2023) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“SASP has been linked to the aggressiveness of certain cancers (2, 10).”
From Chromatin conformational changes at human satellite II contribute to the senescence phenotype in the tumor microenvironment (2023) · cites this paper as [2]
In the citing paper
“However, the main obstacle to achieving efficacious immunotherapy is the tumor microenvironment (TME), which may accelerate senescence of the immune system [18, 19]: potential targets for rejuvenating the immune system are still a hypothesis.”
From Immunosenescence: a key player in cancer development (2020) · cites this paper as [18]
In the citing paper
“Furthermore, in aging TME, changes in immune cell function and secretion of SASP molecules dramatically affect tumor progression [18].”
From Immunosenescence: a key player in cancer development (2020) · cites this paper as [18]
In the citing paper
“Finally, emerging evidence suggests that the aging microenvironment largely contributes to age-related decline in immune function and may also provide potential targets for rejuvenating the immune system [18].”
From Immunosenescence: a key player in cancer development (2020) · cites this paper as [18]
In the citing paper
“as well as due to biophysical alterations of the extracellular matrix that affect the mobility and placement of immune effectors.261”
From Meta-hallmarks of aging and cancer (2023) · cites this paper as [261]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Kaur, A., Webster, M. R., Marchbank, K., Behera, R., Ndoye, A., Kugel, C. H., Dang, V. M., Appleton, J., O’Connell, M. P., Cheng, P., et al. (2016) · Nature · doi:10.1038/nature17392 · Cited by 398
Self-citationRetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,632
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
A biomarker that identifies senescent human cells in culture and in aging skin in vivo.
Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477
Molecular Mechanisms of Stress-Responsive Changes in Collagen and Elastin Networks in Skin
Aziz, J., Shezali, H., Radzi, Z., Yahya, N. A., Abu Kassim, N. H., Czernuszka, J., & Rahman, M. T. (2016) · Skin Pharmacology and Physiology · doi:10.1159/000447017 · Cited by 7,323
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Cancer drug resistance: an evolving paradigm
Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681
Stöckl, S., Göttl, C., Grifka, J. K., & Grässel, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350089 · Cited by 4,670
Cited by
Sorted by citations
Items 601–700 of 854
Angarola, B. L., Sharma, S. M., Katiyar, N., Kang, H. G., Nehar-Belaid, D., Park, S., Gott, R., Eryilmaz, G. N., LaBarge, M. A., Palucka, K., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.20.563147 · Cited by 2
Prognostic Value of Tumor-Infiltrating Lymphocytes for Patients With Triple-Negative Breast Cancer
Tu, H., Zhang, Y., & You, Z. (2024) · JAMA · doi:10.1001/jama.2024.10480 · Cited by 2
Pan, D., Gascard, P. D., Caruso, J. A., Chen‐Tanyolac, C., Sangwan, V., Bertos, N., Camilleri‐Broët, S., Bérubé, J., Oikonomopoulos, S., Strasser, M. K., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.11.661192 · Cited by 2
Henríquez, J. A., Jihad, M., Jassim, A., Lloyd, E. G., Luo, W., Manansala, J. S., Harish, S., Teles, S. P., Cheng, P. S. W., Mucciolo, G., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.02.703350 · Cited by 2
Amrenova, A., Suzuki, K., Saenko, V., Yamashita, S., & Mitsutake, N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249059 · Cited by 1
Prognostic influences of B-cell lymphoma 2–positive expression on late recurrence in breast cancer
Kim, H. J., Eom, Y. H., & Choi, S. H. (2023) · Annals of Surgical Treatment and Research · doi:10.4174/astr.2023.105.1.20 · Cited by 1
Dalby, M. J., Pekovic‐Vaughan, V., Shanley, D. P., Swift, J., White, L. J., & Canty‐Laird, E. G. (2024) · BioEssays · doi:10.1002/bies.202300223 · Cited by 1
The Aspirin Conundrum—Navigating Negative Results, Age, Aging Dynamics, and Equity
Mandelblatt, J. S., Mainor, C. B., & Hudson, B. I. (2024) · JAMA · doi:10.1001/jama.2024.4828 · Cited by 1
Senescent stromal fibroblasts in bladder tumors support cancer progression
(2024) · Nature Aging · doi:10.1038/s43587-024-00738-5 · Cited by 1
The Age‐Dependent Anticancer Efficacy of Agaricus blazei Murill Polysaccharide in Colon Cancer
Xu, Y., Xu, T., Huang, C., Amakye, W. K., Li, K., Zhu, Y., & Ren, J. (2025) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202400733 · Cited by 1
Wang, J., Zhou, Q., Sun, E., Li, G., Li, Z., & Wang, Z. (2025) · Technology and Health Care · doi:10.1177/09287329251333904 · Cited by 2
Luo, Y., Xu, X., Zhao, Z., Xiong, M., Lan, Y., Li, J., Chen, X., Yang, Y., Wang, L., Niu, M., et al. (2025) · Oral Science and Homeostatic Medicine · doi:10.26599/oshm.2025.9610005 · Cited by 2
A nomogram to predict cancer-specific survival of ocular melanoma
Huang, R., Chen, J., Lin, L., Lyu, J., & Zhou, Q. (2025) · Discover Oncology · doi:10.1007/s12672-025-02808-5 · Cited by 1
Tumorigenesis as an autoimmune process
Va, K. (2025) · Medical Immunology (Russia) · doi:10.15789/1563-0625-taa-3152 · Cited by 1
UNC93B1: a novel immune−related prognostic biomarker in breast cancer
Tian, L., Zeng, H., Tian, L., Wang, H., & Liu, W. Y. (2025) · Discover Oncology · doi:10.1007/s12672-025-03124-8 · Cited by 1
Balancing senescence and apoptosis: therapeutic insights into aging and cancer
Jan, N., Sofi, S., Mir, A. A., Masoodi, G., & Mir, M. A. (2025) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-025-05355-3 · Cited by 1
Ma, J., Zhu, M. S., Zhang, N., Huang, N., & Meng, X. (2025) · Applied immunohistochemistry & molecular morphology · doi:10.1097/pai.0000000000001276 · Cited by 1
Immunotherapy in older adults with gynecologic cancers: rethinking age as a limiting factor
Yoshida, Y., Orisaka, M., Inoue, D., & Sasaki, H. (2025) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2025.2548887 · Cited by 1
dos Reis, A. S., Martins, C. C., da Fonseca, C. A. R., da Costa, G. P., Alves, D., Balbinot, F. P., Domingues, W. B., Martins, A. W. S., Campos, V. F., Flores, É. M. M., et al. (2025) · Biochemical Pharmacology · doi:10.1016/j.bcp.2025.117274 · Cited by 1
Malnutrition, Psychological Conditions, and Their Effects on Older Gastrointestinal Cancer Patients
Yin, T., Lin, Y., Wang, Y., & Wang, M. (2025) · Nutrition and Cancer · doi:10.1080/01635581.2025.2548601 · Cited by 1
Effect of organism aging on the development of anti-PD-(L)1 therapy-associated adverse events
Tsukamoto, H., Murakami, K., Miura, Y., & Komohara, Y. (2025) · Immunological Medicine · doi:10.1080/25785826.2025.2564474 · Cited by 1
Oncolytic virus therapy in the elderly: immune frailty, challenges, and perspectives
Wang, J., Liu, J.-H., Liu, Y.-L., Xu, W.-Z., & Zhang, Z.-B. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1686659 · Cited by 2
Age‐Related Changes in Myeloid Cells and Their Impact on Subcutaneous Melanoma Growth in Mice
Landreth, K. M., Thomas, D. D., Nohoesu, R., Basnet, A., Damron, F. H., Garland‐Kledzik, M., Sen-Kilic, E., & Liu, T. W. B. (2025) · Aging and Cancer · doi:10.1002/aac2.70006 · Cited by 2
Ruan, R., Dai, X., Zhang, L., Xiong, J., Yao, Y., & Deng, J. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152841 · Cited by 1
Kıvrak, M., Nalkıran, H. S., Kesen, O., & Nalkıran, İ. (2025) · Biology · doi:10.3390/biology14111539 · Cited by 1
Du, G., Xu, D., Sun, J., Che, S., Ma, J., Lan, X., Wang, J., & Yan, Z. (2025) · IUBMB Life · doi:10.1002/iub.70072 · Cited by 1
Pan, H., Chen, G., Dong, Y. Q., Li, D., & Li, D. (2025) · Radiation Oncology · doi:10.1186/s13014-025-02773-x · Cited by 1
Xia, C., & Wang, B. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2025.1678501 · Cited by 1
Wang, Q., Sun, X., Han, X., Zhang, X., Wang, W., Wang, H., Ren, H., & Gu, L. (2026) · MedComm – Oncology · doi:10.1002/mog2.70054 · Cited by 1
Zheng, Q., Zhuoga, J., Li, C., Wenjing, C. H. E. N., Yalikun, M., Fu, P., Dong, Z., & Dong, J. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1681306 · Cited by 1
Yin, Q., Xu, R., Wang, D., & Li, J. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1714359 · Cited by 1
Deschuyter, M., Martin, S., Salmanli, C., Hubsch, C., Vincent, A., Meignan, S., Furlan, A., Cosset, E. C., Burckel, H., Noël, G., et al. (2026) · Cancer and Metastasis Reviews · doi:10.1007/s10555-026-10316-3 · Cited by 1
Lin, R., Anthony, L. E., Inchai, H., Chien, L.-C., Yeh, C., Yang, C., & Lin, J. (2026) · Advances in digestive medicine · doi:10.1002/aid2.70024 · Cited by 1
Endothelial metabolic reprogramming influences tumor immune microenvironment
Chen, M., & Chen, Z.-G. (2026) · World Journal of Clinical Oncology · doi:10.5306/wjco.v17.i3.113326 · Cited by 1
Pan, S., & Wang, G. (2026) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2026.106238 · Cited by 1
Multifunctional Role of Mitochondrial Fatty Acid Oxidation in Cancer Immunotherapy and Aging
Kitaoka, K., Hirose, S., Wang, Y., Yaguchi, T., & Chamoto, K. (2026) · Cancer Science · doi:10.1111/cas.70388 · Cited by 1
Li, T., Lian, B., Liu, Y., Guo, L., & Li, J. (2026) · Breast Cancer Research · doi:10.1186/s13058-026-02291-y · Cited by 1
Shang, Y., Wang, L., Shen, H., Jia, M., Gao, H., Liu, Y., Yang, Y., Yang, J., Wu, L.-L., & Li, G.-C. (2026) · Regenerative Biomaterials · doi:10.1093/rb/rbag096 · Cited by 1
Aging promotes a RAGE-dependent increase in breast cancer metastasis
Miller, P., Chopra, S., Magna, M., Tao, J., Benitez, C., Heist, T., Bishopric, N. H., Mandelblatt, J. S., Panov, J., Slingerland, J. M., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-10022-4 · Cited by 1
Xu, W., Gao, J., Wu, S., Huang, J., An, C., Jiang, C., Liu, N., Chen, C. E., Wang, Z., Dong, Z., et al. (2026) · JCI Insight · doi:10.1172/jci.insight.194700 · Cited by 2
Beyond Darwin: reactive heredity, burst-drift dynamics and eco‑evolutionary control of cancer
Lagache, L., Salzet, J., Fournier, I., & Salzet, M. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02683-w · Cited by 1
Luo, X., & He, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1848488 · Cited by 1
Zhang, Y., Qian, S., Yang, Q., Shi, Z., Dong, M., Wang, Z., Yang, Z., Wu, S., Li, Z., Zhang, M., et al. (2026) · Cell Death and Disease · doi:10.1038/s41419-026-08897-6 · Cited by 1
The Aging Microenvironment Shapes Angiogenic Remodeling in IBD ‐Associated Colorectal Carcinogenesis
Duan, R., Chen, Q., Xu, Y., Yan, Y., & Jiang, S. J. (2026) · Aging Cell · doi:10.1111/acel.70570 · Cited by 1
Host-Pathogen Interaction as a Driver of Cellular Senescence: Microbial Triggers and Host Response
Iordache, F., Zaharie, A. A., Rosu, P. M., Holban, A. M., & Curuțiu, C. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27146497 · Cited by 1
Collapsed fibroblasts in aged human skin in vivo: A critical driver of dermal aging
Quan, T., Wang, F., Marella, S., Billi, A. C., Qin, Z., Weng, S., Fu, J., Gudjonsson, J. E., Voorhees, J. J., & Fisher, G. J. (2026) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2026.07.028 · Cited by 1
Huang, G., Yang, X., Li, P.-S., Fan, Z.-J., & Lu, B.-Q. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1931000 · Cited by 1
Darawshy, F., Bayrak, Ç. S., Zhou, X., Wong, K. K., Sulaiman, I., Kwok, B., Chung, C. J., Lukovnikova, A., Roldan, S., Wu, B. G., et al. (2026) · npj Aging · doi:10.1038/s41514-026-00470-x · Cited by 1
Metabolic ageing drives tumour progression
Harjes, U. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-00301-5 · Cited by 1
The Aged Microenvironment of Melanoma Feeds Escape from Targeted Therapy
Montal, E. D., & White, R. M. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0949 · Cited by 1
Identification of prognostic genes in oral squamous cell carcinoma microenvironment
Zhu, L., Zhang, X., Chen, Y., Yan, D., & Han, J. (2022) · Cancer Biomarkers · doi:10.3233/cbm-210432 · Cited by 1
Autophagy in cancer-associated fibroblasts: biology and targeting
Ly, T., Gaur, G., & Thomas, S. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99879-6.00004-3 · Cited by 1
Depression and Cancer: The Inflammatory Bridge
Leite, F., & Leite, Â. M. T. (2023) · Interdisciplinary cancer research · doi:10.1007/16833_2022_106 · Cited by 1
Stromal grading predicts pathologic complete response and prognosis in triple-negative breast cancer
Hacking, S. M., & Wang, Y. (2023) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-023-03510-z · Cited by 1
Gopalan, V., & Hannenhalli, S. S. (2023) · Cancers · doi:10.3390/cancers15072159 · Cited by 1
Occurrence of Liver Cancer in People without Traditional Risk Factors
Choi, J., Park, J., Lee, J. K., & Cho, K. (2023) · Korean Journal of Clinical Geriatrics · doi:10.15656/kjcg.2023.24.1.41
Zhang, Z., Tian, C., Liu, Y., Zhang, L., Sun, H., He, S., Liu, Y., Fan, H., Zhang, Y., Gao, M., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1290791 · Cited by 1
Pan-cancer analysis reveals the characteristics and roles of tooth agenesis mutant genes
Liu, Y., Yang, J., Li, X., Chen, S., Zhu, C., Shi, Y., Dang, S., Zhang, W., & Li, W. S. (2023) · Medicine · doi:10.1097/md.0000000000036001 · Cited by 1
Cellular senescence and aging at the crossroad between immunity and cancer
Kepp, O., Galluzzi, L., & Petroni, G. (2024) · Methods in cell biology · doi:10.1016/s0091-679x(24)00009-8 · Cited by 1
Sun, Y., Liu, B., Shen, H., Zhang, Y., Zheng, R., Liu, J., Hu, H., Xie, X., & Huang, G. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04192-0 · Cited by 1
Funcionalidade de Indivíduos com Doença Oncológica Internados em Unidades de Terapia Intensiva
Käfer, D. C., de Matos, E. D. O., Cesaro, D. D., Savaris, M., Seger, C. A., Teixeira, A. C., & Jorge, M. S. G. (2024) · Revista Brasileira de Cancerologia · doi:10.32635/2176-9745.rbc.2024v70n2.4605 · Cited by 1
Bionanotechnological Strategies and Tools for Cancer Prediction, Prevention and Therapy
Narayan, S. (2024) · Springer eBooks · doi:10.1007/978-981-99-3746-2_9 · Cited by 1
Machine Learning-Enhanced Estimation of Cellular Protein Levels from Bright-Field Images
Tohgasaki, T., Touyama, A., Kousai, S., & Imai, K. (2024) · Bioengineering · doi:10.3390/bioengineering11080774 · Cited by 1
Managing sleep disruptions during cancer: Practical tips for patient education.
Arbour, C., Hjeij, D., & Bilodeau, K. (2024) · PubMed Central · Cited by 3
Liu, Z., Ma, H., Guo, Z., Su, S., & He, X. (2024) · Translational Andrology and Urology · doi:10.21037/tau-24-385 · Cited by 1
Lu, W., Gong, Y., Liu, L., Zhang, Y., Tian, X., & Liu, H. (2025) · Frontiers in Aging · doi:10.3389/fragi.2025.1502746 · Cited by 1
Niculescu, V. F. (2025) · Academia molecular biology and genomics. · doi:10.20935/acadmolbiogen7755 · Cited by 2
Feng, X., Li, S., Yu, S., Liu, Y., Peng, Z., Zhang, H., Gao, X., Liu, X., Chen, M., Zhao, J., et al. (2025) · Current Oncology · doi:10.3390/curroncol32090489 · Cited by 1
Голубев, А., & Anisimov, V. N. (2022) · Voprosy Onkologii · doi:10.37469/0507-3758-2022-68-6-708-716 · Cited by 1
Immune potency of bioreactor-aged dendritic cells in 3D collagen matricesPreprint
ElGindi, M., Sapudom, J., Garcia‐Sabaté, A., Quartey, B. C., Alatoom, A., Al‐Sayegh, M., Li, R., Chen, W., & Teo, J. C. M. (2023) · Research Square · doi:10.21203/rs.3.rs-2638368/v1 · Cited by 1
Risk Factors of Renal Cell Carcinoma
秦, 云. (2023) · Medical Diagnosis · doi:10.12677/md.2023.133051 · Cited by 1
Matrix alignment and density modulate YAP-mediated T-cell immune suppressionPreprint
Sapudom, J., Alatoom, A., Tipay, P. S., & Teo, J. C. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.19.585707 · Cited by 1
A novel workflow for cancer blood biomarker identification
Wang, X., Qiu, Z., Ji, X., Ning, W., An, Y., Wang, S., & Zhang, H. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-2047
Single-cell sequencing characterizes intratumoral profile of immune cells in old micePreprint
Zhang, C., Lei, L., Yang, X., Zheng, H., Su, Y., Jiao, A., Wang, X., Liu, H., Zou, Y., Shi, L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.23.432366
Glucose Metabolic Reprogramming in Cancer MicroenvironmentPreprint
Zhang, Z., Lin, N., Zhang, X., & Meng, Z. (2021) · Research Square · doi:10.21203/rs.3.rs-438551/v1
Wang, Q., Liu, X., Wang, P., Luo, D., Gao, W., Sun, Y., Ma, B., Xue, D., & Sun, H. (2021) · Research Square · doi:10.21203/rs.3.rs-1078018/v1
Nivolumab Plus Ipilimumab for Previously Treated Stage IV Squamous Cell Lung Cancer
Zhao, B., & Ma, W. (2022) · JAMA Oncology · doi:10.1001/jamaoncol.2021.7784
Inibitori dei checkpoint immunitari e patologia tiroidea
Patti, L., Musso, L., Ferone, D., & Albertelli, M. (2022) · L Endocrinologo · doi:10.1007/s40619-022-01038-z
Immune infiltration of MMP14 in Pan-cancer and its prognostic effect on tumorPreprint
Li, M., Li, S., Zhou, L., Yang, L., Wu, X., Tang, B., Xie, S., Fang, L., Zheng, S., & Hong, T. (2021) · Research Square · doi:10.21203/rs.3.rs-555119/v1
Hong, T., Pan, Y., & Lei, G. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4117358
Zhao, B., & Ma, W. (2022) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2022.01.020
An Overview of the Role of Senescence in Cancer
Al-Janabi, I. I. (2022) · Al-Rafidain Journal of Medical Sciences · doi:10.54133/ajms.v3i.77
Understanding cell to cell communication in tumor microenvironment
Gupta, A., Sati, P., Acharya, K., Shingadia, H. U., Joseph, A. S. M., Jaganathan, R., & Mukherjee, S. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns6.12539
Sarmento‐Ribeiro, A. B., Botelho, M. F., Gonçalves, A. C., Melo, J. B., Laranjo, M., Alves, R., Jorge, J., Ribeiro, I. P., Pires, S., Abrantes, A. M., et al. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823761-8.00026-4
Therapy Induced Tumor Senescence ModelPreprint
Singh, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.23.513380
Age and Sex Differences in the Eμ-TCL1 Adoptive Transfer Mouse Model of CLL
Sharpe, C., Perry, E., Hertlein, E. K., Muthusamy, N., & Byrd, J. C. (2022) · Blood · doi:10.1182/blood-2022-162900
Resolving Geroplasticity to the Balance of Rejuvenins and Geriatrins
TABIBZADEH, S. S. (2022) · Aging and Disease · doi:10.14336/ad.2022.0414
Immune Allies to Cancer Metastasis
Kudo‐Saito, C. (2022) · Springer eBooks · doi:10.1007/978-3-030-80962-1_56-1
Mouse Models of Obesity to Study the Tumor-Immune Microenvironment
Petrecca, S., & Quail, D. F. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2914-7_9
Zhu, X., Chen, X., Liu, Z., Yang, B., Zhou, Y., Pan, S., Huang, Y., Han, D., Zeng, Y., & Liu, C. (2023) · Journal of Oncology · doi:10.1155/2023/9220547
Yamada, K., Oikawa, T., Kizawa, R., Motohashi, S., Yoshida, S., Kumamoto, T., Saeki, C., Nakagawa, C., Shimoyama, Y., Aoki, K., et al. (2023) · doi:10.1158/0008-5472.c.6512445
Yamada, K., Oikawa, T., Kizawa, R., Motohashi, S., Yoshida, S., Kumamoto, T., Saeki, C., Nakagawa, C., Shimoyama, Y., Aoki, K., et al. (2023) · doi:10.1158/0008-5472.c.6512445.v1
Carlberg, C., Velleuer, E., & Molnár, F. (2023) · Springer eBooks · doi:10.1007/978-3-031-27133-5_31
Biological Functions of STAT, HP1, and Heterochromatin
Li, W. X., & Silver-Morse, L. (2023) · SpringerBriefs in biochemistry and molecular biology · doi:10.1007/978-3-031-29029-9_2
Andhari, M. D., Antoranz, A., Smet, F. D., & Bosisio, F. M. (2023) · International review of cytology · doi:10.1016/bs.ircmb.2023.05.009 · Cited by 1
Valencia-Espinoza, E., Cabezas, M., Rodríguez, A. P., García, K., Caamaño, C. C., Fornasini, M., Luna, J., & Miño, C. (2023) · Medicine · doi:10.1097/md.0000000000034082
Liu, W., Liu, J., Deng, J., Zhan, T., Han, Z., Tan, J., Liu, M., Chen, M., Xia, T., & Huang, X. (2023) · Research Square · doi:10.21203/rs.3.rs-3199402/v1
Metadata
- Authors
- Fane, M., & Weeraratna, A. T.
- Affiliations
- The Wistar Institute (US)
- Corresponding author
- Fane, Mitchell
- Weeraratna, Ashani T.
- Venue
- Nature Reviews Cancer
- Published
- 2019-12-13
- Volume
- 20
- Issue
- 2
- Pages
- 89-106
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- PMC
- PMC7377404
- OpenAlex
- W2995607278
- Cited by
- 849
- References
- 228
- Citations by year
- 2026: 109 · 2025: 176 · 2024: 166 · 2023: 130 · 2022: 122 · 2021: 92 · 2020: 54
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature reviews. Cancer (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01CA207935, P01CA114046, R01CA174746, R01CA232256, P30CA010815, P30CA006973)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- tumor microenvironment, aging, tumor progression, extracellular matrix, secreted factors, cancer therapy response, tumour metastasis, preclinical mouse models
- MeSH terms
- Aging, Animals, Cell Transformation, Neoplastic, Combined Modality Therapy, Extracellular Matrix, Humans, Neoplasms, Treatment Outcome, Stromal Cells, Disease Progression, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review