The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Plasminogen activator inhibitor 1—insulin-like growth factor binding protein 3 cascade regulates stress-induced senescence
Open accessAbstract
Cellular senescence is widely believed to play a key role in tumor suppression, but the molecular pathways that regulate senescence are only incompletely understood. By using a secretome proteomics approach, we identified insulin-like growth factor binding protein 3 (IGFBP3) as a secreted mediator of breast cancer senescence upon chemotherapeutic drug treatment. The senescence-inducing activity of IGFBP3 is inhibited by tissue-type plasminogen activator-mediated proteolysis, which is counteracted by plasminogen activator inhibitor 1 (PAI-1), another secreted mediator of senescence. We demonstrate that IGFBP3 is a critical downstream target of PAI-1-induced senescence. These results suggest a role for an extracellular cascade of secreted proteins in the regulation of cellular senescence.
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?
In the citing paper
“Other related factors, such as IGFBP3, have been implicated as SASP components that may play a role in the propagation of senescence signals to neighboring cells (42).”
From Cellular Senescence in Type 2 Diabetes: A Therapeutic Opportunity (2015) · cites this paper as [42]
In the citing paper
“For example, PAI-1, a SASP factor produced by many cell types, can stabilize IGFBP3 by inhibition of tissue plasminogen activator, which normally cleaves it.”
From Cellular Senescence in Type 2 Diabetes: A Therapeutic Opportunity (2015) · cites this paper as [42]
In the citing paper
“The ability of IGFBP3 to induce senescence is regulated by tissue-type plasminogen activator inhibitor-1 (PAI-1) system (Elzi et al., 2012).”
From Mechanisms of Cellular Senescence: Cell Cycle Arrest and Senescence Associated Secretory Phenotype (2021) · cites this paper as Elzi et al., 2012
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
The serial cultivation of human diploid cell strains
Hayflick, L., & Moorhead, P. S. (1961) · Experimental Cell Research · doi:10.1016/0014-4827(61)90192-6 · Cited by 8,508
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
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
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
Keller, A., Nesvizhskii, A., Kolker, E., & Aebersold, R. (2002) · Analytical Chemistry · doi:10.1021/ac025747h · Cited by 4,970
A statistical model for identifying proteins by tandem mass spectrometry.
Nesvizhskii, A., Keller, A., Kolker, E., & Aebersold, R. (2003) · Analytical Chemistry · doi:10.1021/ac0341261 · Cited by 4,902
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Cellular senescence: when bad things happen to good cells
Campisi, J., & d'Adda di Fagagna, F. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2233 · Cited by 4,441
The essence of senescence: Figure 1.
Kuilman, T., Michaloglou, C., Mooi, W. J., & Peeper, D. S. (2010) · Genes & Development · doi:10.1101/gad.1971610 · Cited by 2,038
Senescence-messaging secretome: SMS-ing cellular stress
Kuilman, T., & Peeper, D. S. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2560 · Cited by 909
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–153 of 153
Alterations of receptors and insulin-like growth factor binding proteins in senescent cells
Matuszewska, J., Krawiec, A., Radziemski, A., Uruski, P., Tykarski, A., Mikuła‐Pietrasik, J., & Książek, K. (2024) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2024.151438 · Cited by 8
Gruevska, A., Moragrega, Á. B., Galindo, M. J., Esplugues, J. V., Blas‐García, A., & Apostolova, N. (2020) · Antiviral Research · doi:10.1016/j.antiviral.2020.104784 · Cited by 7
Yamaguchi, M., Suzuki, M., Funaba, M., Chiba, A., & Kashiwakura, I. (2020) · Stem Cell Research & Therapy · doi:10.1186/s13287-020-01861-x · Cited by 8
Insulin-like Growth Factor System and Aging
Li, P., Sun, X. F., Cai, G.-Y., & Chen, X. M. (2017) · Journal of Aging Science · doi:10.4172/2329-8847.1000171 · Cited by 8
The IGF-1 senescence switch: a biphasic model for SASP-driven aging and precision senomodulation
Manni, E., Al‐kuraishy, H. M., Hussain, N. R., Abdelaziz, A. M., & Batiha, G. E. (2026) · Cytokine · doi:10.1016/j.cyto.2026.157143 · Cited by 8
A stromal PAI1-tPA axis orchestrates immunosuppression in pancreatic cancer
Ngodup, T., Elson, B. E., Mello, A. M., Hannifin, S., Liu, M., Zhang, Y., Shi, J., Shah, Y. M., Lawrence, D. A., di Magliano, M. P., et al. (2026) · Science Advances · doi:10.1126/sciadv.aea6734 · Cited by 7
Afzal, M. Z., Gartz, M., Klyachko, E. A., Khan, S. S., Shah, S. J., Gupta, S. K., Shapiro, A. D., Vaughan, D. E., & Strande, J. L. (2016) · Stem Cell Research · doi:10.1016/j.scr.2016.12.003 · Cited by 7
Takahashi, T., Takahashi, T., & Asano, Y. (2025) · Biomedical Journal · doi:10.1016/j.bj.2025.100906 · Cited by 6
Morimoto‐Kamata, R., & Ohkura, N. (2024) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.b24-00291 · Cited by 6
Plasminogen Activator Inhibitor‐1 in the Pathophysiology of Late Life Depression
Métivier, L., Vivien, D., Goy, R., Agin, V., Bui, É., & Benbrika, S. (2024) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.70015 · Cited by 6
Xu, Y., Liu, S., Zhou, Z., Qin, H., Zhang, Y., Zhang, G., Ma, H., Han, X., Liu, H., & Liu, Z. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae189 · Cited by 6
Targeting senescent cell clearance: An approach to delay aging and age-associated disorders
Qiu, Z., Jia, J., Zou, H., Ao, Y., Liu, B., & Wang, Z. (2021) · Translational Medicine of Aging · doi:10.1016/j.tma.2020.12.001 · Cited by 6
Minoxidil Regulates Aging-Like Phenotypes in Rat Cortical Astrocytes In Vitro
Bang, M., Yang, S. J., Ahn, T., Han, S., Shin, C. Y., & Kwon, K. J. (2022) · Biomolecules & Therapeutics · doi:10.4062/biomolther.2022.144 · Cited by 6
de Faria, C. A., Silva, W. A., Coelho, K. B. C. A., Bassi, M., Colombari, E., Zanette, D. L., & Ribeiro‐Paes, J. T. (2021) · Pulmonary Pharmacology & Therapeutics · doi:10.1016/j.pupt.2021.102075 · Cited by 5
Magrin, C., Bellafante, M., Sola, M., Piovesana, E., Bolis, M., Cascione, L., Napoli, S., Rinaldi, A., Papin, S., & Paganetti, P. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1232963 · Cited by 6
Afzal, M. Z., Gartz, M., Klyachko, E. A., Khan, S. S., Shah, S. J., Gupta, S. K., Shapiro, A. D., Vaughan, D. E., & Strande, J. L. (2016) · Stem Cell Research · doi:10.1016/j.scr.2016.11.010 · Cited by 4
Cellular senescence: A novel mechanism of therapeutic resistance in prostate cancer
Lin, C., Hadfield, M. J., Rathore, A., Pinho-Schwermann, M. P., Zhang, S., Lu, S., den Hollander, P., Mani, S. A., Seyhan, A. A., Santopietro, A., et al. (2025) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2025.103061 · Cited by 4
Influence of Stress-Induced Senescence on the Secretome of Primary Mesenchymal Stromal Cells
Kashirina, D. N., Константиновна, М. Д., Ездакова, М. И., Brzhozovskiy, A. G., Kononikhin, A. S., Pastushkova, L. K., Larina, I., Николаев, Е. Н., Buravkova, L. B., & Ratushnyy, A. Y. (2025) · Biomolecules · doi:10.3390/biom15121734 · Cited by 3
PAI-1: A Key Signal at the Crossroads of Stem Cell Differentiation and Senescence
Ke, J., Jiang, Y., Cheng, Z., Zhou, Y., Lu, J., Xu, B., Yan, S., & Wang, J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms27010086 · Cited by 2
Madonna, R. (2022) · The Journal of Cardiovascular Aging · doi:10.20517/jca.2021.34 · Cited by 2
Wong, J., Qudrat, A., Mosabbir, A. A., & Truong, K. (2018) · Springer eBooks · doi:10.1007/978-981-13-1699-9_5 · Cited by 2
[A Review of Celluar Senescence and Tumor Treatment].
Liu, H., & Hu, Y. (2021) · 四川大学学报:医学版 · doi:10.12182/20210360503 · Cited by 2
Meinsohn, M.-C., Cleverdon, J., Mermin-Bunnell, A. M., de Mattos, K., May, P., Kashiwagi, A., Stavely, R. G., Nagykery, N. G., Saunders, D. C., Tsui, E. L., et al. (2025) · Biology of Reproduction · doi:10.1093/biolre/ioaf230 · Cited by 2
Yamamoto, K. (2015) · Japanese Journal of Thrombosis and Hemostasis · doi:10.2491/jjsth.26.265 · Cited by 1
Thompson, P. J., & Bhushan, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822514-1.00008-0 · Cited by 1
Predicting p53-dependent cell transitions from thermodynamic models
Gautam, P., Ciuta, I., Teif, V. B., & Sinha, S. K. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0225166 · Cited by 1
Pancreatic β-Cell Senescence: A Contributor to Type 2 Diabetes
Urmi, R., Singh, R., Singh, M., & Sinha, B. K. (2025) · Springer eBooks · doi:10.1007/978-981-96-1041-9_8 · Cited by 1
Musil, J., Kutinová, L., Žůrková, K., Hainz, P., Babiarova, K., Kryštofová, J., & Němečková, Š. (2014) · Cancer Gene Therapy · doi:10.1038/cgt.2014.6 · Cited by 1
PAI-1 inhibitors, its potential and clinical application
Takashi, D. A. N., & MIYATA, T. (2015) · Japanese Journal of Thrombosis and Hemostasis · doi:10.2491/jjsth.26.310
Bristol, M. L., & Elmore, L. W. (2013) · Springer eBooks · doi:10.1007/978-94-007-5958-9_20
Targeting Androgen Receptor by Lysosomal Degradation in Prostate Cancer
Shiio, Y. (2014) · doi:10.21236/ada612607
Self-citationSchäffer, A. A. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.732136102.793542774
Engineering Ca2+-activated Control of Ras Family GTPases
Wong, J. (2019) · TSpace (University of Toronto)
Studying the Effect of Low Doses of Ionization Radiation on Senescence in Human Lung Fibroblasts.
Kabilan, U. (2020) · uO Research (University of Ottawa) · doi:10.20381/ruor-25207
Tau Protein Modulates an Epigenetic Mechanism of Cellular SenescencePreprint
Magrin, C., Sola, M., Piovesana, E., Bolis, M., Rinaldi, A., Papin, S., & Paganetti, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.05.543662
市村, 敦., ペリッシュ, ニ., 宮田, 和., Miyata, K., 宮田, 敏., & 宮田, 敏. (2014) · PubMed · doi:10.11406/rinketsu.55.396 · Cited by 4
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Di Bernardo, G., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.25216796
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Bernardo, G. D., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.26680358
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Di Bernardo, G., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.26680355
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Bernardo, G. D., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.26680352
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Bernardo, G. D., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.25217314
Alessio, N., Aprile, D., Peluso, G., Mazzone, V., Patrone, D., Bernardo, G. D., & Galderisi, U. (2024) · Figshare · doi:10.6084/m9.figshare.26680349
Semenov, D. V., Tatarnikova, I. S., Chesnokova, A. Y., Talyshev, V. A., Аркадьевна, З. М., & Logashenko, E. B. (2026) · Cells · doi:10.3390/cells15020115
Age-associated Autoimmunity Driven by T cell ImmunosenescencePreprint
McCarthy, E. C., Seyedsadr, M., Bang, M. F., Pham, C. L. H., Bustillos, C. G., Salazar, I., Salladay-Perez, I. A., Whitmire, J. K., Fu, C., Blanc, S. F., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.07.698250
Plasminogen Activator Inhibitor 1, Cell Senescence, and Aging-Related Diseases
Liu, R.-M., & Nakamya, M. F. (2026) · Cells · doi:10.3390/cells15060551 · Cited by 1
Soysouvanh, F. (2019) · theses.fr (ABES) · doi:10.70675/3890835fzb557z430aza571z697de58045dd
Caractérisation de la sénescence des cardiomyocytes et identification de marqueurs associés
Maggiorani, D. (2017) · theses.fr (ABES) · doi:10.70675/a58747bczd60bz4482za3b2z7ae33d26ffa4
Modulation de l'autophagie neuronale par la sérine protéase tPA en conditions ischémiques
Thiebaut, A. M. (2019) · theses.fr (ABES) · doi:10.70675/6586c0abz9e4cz455fz95ffzc52ec76397f8
Ageing-Associated Gene Discovery in Human Lung Tissue Through Fully Connected Neural Network (FCNN)
Akrami, S., Niazi, A., & Tahmasebi, A. (2026) · International Biennial Conference on Advances in Artificial Intelligence and Data Science (IBAAIDS) · doi:10.1109/ibaaids66771.2026.11567392
Cribratge biomecànic per a la identificació de potencials dianes en la fibrosi pulmonar
Hidalgo, A. G. (2015) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Metadata
- Authors
- Elzi, D. J., Lai, Y., Song, M., Hakala, K., Weintraub, S. T., & Shiio, Y.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-07-09
- Volume
- 109
- Issue
- 30
- Pages
- 12052-12057
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3409757
- OpenAlex
- W2074103997
- Cited by
- 154
- References
- 34
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 17 · 2023: 11 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 11 · 2018: 10 · 2017: 13 · 2016: 15 · 2015: 13 · 2014: 8 · 2013: 5
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (CA054174)
- University of Texas Health Science Center at San Antonio
- National Institute on Aging (R21AG029587, AG029587)
- National Cancer Institute (CA-054174, P30CA054174, R01CA125020, CA125020, CA137568, R21CA137568)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Keywords
- cellular senescence, insulin-like growth factor binding protein-3, plasminogen activator inhibitor-1, tissue plasminogen activator, breast cancer, chemotherapy-induced senescence, secretome, tumor suppression, proteolysis
- MeSH terms
- Analysis of Variance, beta-Galactosidase, Culture Media, Doxorubicin, Enzyme-Linked Immunosorbent Assay, Fluorescent Antibody Technique, Humans, Immunohistochemistry, Neoplasms, Tissue Plasminogen Activator, Stress, Physiological, Tumor Cells, Cultured, Immunoblotting, Cellular Senescence, Plasminogen Activator Inhibitor 1, DNA Primers, Insulin-Like Growth Factor Binding Protein 3, Reverse Transcriptase Polymerase Chain Reaction, RNA, Small Interfering, Proteomics, Cell Line, Tumor, Proteolysis
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