The DOI matches its Crossref record; 39 of the 40 references it cites were found in a registry or an index.
Drug Resistance via Feedback Activation of Stat3 in Oncogene-Addicted Cancer Cells
Open accessAbstract
Pathway-targeted cancer drugs can produce dramatic responses that are invariably limited by the emergence of drug-resistant cells. We found that many drug-treated "oncogene-addicted" cancer cells engage a positive feedback loop leading to Stat3 activation, consequently promoting cell survival and limiting overall drug response. This was observed in cancer cells driven by diverse activated kinases, including EGFR, HER2, ALK, and MET, as well as mutant KRAS. Specifically, MEK inhibition led to autocrine activation of Stat3 via the FGF receptor and JAK kinases, and pharmacological inhibition of MEK together with JAK and FGFR enhanced tumor regression. These findings suggest that inhibition of a Stat3 feedback loop may augment the response to a broad spectrum of drugs that target pathways of oncogene addiction.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Lee et al. found that transient STAT3 activation mediated by IL-6 and FGFR in response to oncogenic kinase inhibition significantly contributes to survival of several different oncogene-addicted cancer cell lines [67].”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [67]
In the citing paper
“Similarly, Lee et al., found that many oncogene-addicted cancer cells (including EGFR, HER2, ALK, MET, KRAS) engage an IL-6 dependent feedback loop leading to STAT3 activation [67]. This STAT3 activation promotes cell survival and limits the overall drug response.”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [67]
Citations
Cites
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Glioma stem cells promote radioresistance by preferential activation of the DNA damage response
Bao, S., Wu, Q., McLendon, R. E., Hao, Y., Shi, Q., Hjelmeland, A. B., Dewhirst, M. W., Bigner, D. D., & Rich, J. N. (2006) · Nature · doi:10.1038/nature05236 · Cited by 6,363
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
MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signaling
Engelman, J. A., Zejnullahu, K., Mitsudomi, T., Song, Y., Hyland, C., Park, J. O., Lindeman, N., Gale, C.-M., Zhao, X., Christensen, J., et al. (2007) · Science · doi:10.1126/science.1141478 · Cited by 4,496
STATs in cancer inflammation and immunity: a leading role for STAT3
Yu, H., Pardoll, D., & Jove, R. (2009) · Nature reviews. Cancer · doi:10.1038/nrc2734 · Cited by 4,383
Györffy, B., Lanczky, A., Eklund, A. C., Denkert, C., Budczies, J., Li, Q., & Szallasi, Z. (2010) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0674-9 · Cited by 4,169
Epidermal growth factor receptor mutations in lung cancer
Sharma, S. V., Bell, D. W., Settleman, J., & Haber, D. A. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2088 · Cited by 3,170
Self-citationBromberg, J. F., Wrzeszczynska, M. H., Devgan, G., Zhao, Y., Pestell, R. G., Albanese, C., & Darnell, J. E. (1999) · Cell · doi:10.1016/s0092-8674(00)81959-5 · Cited by 2,790
A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations
Sharma, S. V., Lee, D. Y., Li, B., Quinlan, M. P., Takahashi, F., Maheswaran, S., McDermott, U., Azizian, N., Zou, L., Fischbach, M. A., et al. (2010) · Cell · doi:10.1016/j.cell.2010.02.027 · Cited by 2,770
Self-citation
Flagged first, then by citations
1 of the 40 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 501–562 of 562
Clay, T. D. (2017) · Minerva Access (University of Melbourne)
Understanding the Biology Behind the EGFR to Improve NSCLC Patients’ Treatment
Verlicchi, A., & Addeo, A. (2017) · Journal of Molecular and Genetic Medicine · doi:10.4172/1747-0862.1000286
Combinations of Genomically and Immune-Targeted Therapies in Early-Phase Clinical Trials
Patel, M. R., Patel, S. P., & Kurzrock, R. (2017) · Current cancer research · doi:10.1007/978-3-319-63757-0_9
Microenvironmental Regulation of Tumor Resistance to Anti-IGF-1R Monoclonal Antibody
이지선 (2017) · Seoul National University Open Repository (Seoul National University)
Sun, X. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.76185
Bruxiola, G., Cejalvo, J. M., Gambardella, V., & Cervantes, A. M. R. (2019) · ESMO Open · doi:10.1136/esmoopen-2019-000513
STAT3β is a tumor suppressor in acute myeloid leukemia
Aigner, P. (2019) · Intrinsic Activity · doi:10.25006/ia.7.s1-a3.3
RPPAs for Cell Subpopulation Analysis
Kume, K., & Nishizuka, S. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9755-5_12
Quinacrine binds to the kinase domain of FGFR1 and inhibits its activityPreprint
Kumar, M., & Sarkar, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.02.470934
Data from MET-Induced CD73 Restrains STING-Mediated Immunogenicity of EGFR-Mutant Lung Cancer
Yoshida, R., Saigí, M., Tani, T., Springer, B. F., Shibata, H., Kitajima, S., Mahadevan, N. R., Campisi, M., Kim, W., Kobayashi, Y., et al. (2023) · doi:10.1158/0008-5472.c.6514215.v1
Wang, V. E. H., Xue, J. Y., Frederick, D. T., Cao, Y., Lin, E., Wilson, C., Urisman, A., Carbone, D. P., Flaherty, K. T., Bernards, R., et al. (2023) · doi:10.1158/1078-0432.c.6527784
Self-citationData from InsR/IGF1R Pathway Mediates Resistance to EGFR Inhibitors in Glioblastoma
Ma, Y., Tang, N., Thompson, R. C., Mobley, B. C., Clark, S. W., Sarkaria, J. N., & Wang, J. (2023) · doi:10.1158/1078-0432.c.6524027.v1
Application of Nano-Antibodies for Cancer Immunotherapy
Singh, S., Singh, S. P., & Parihar, A. S. (2023) · Current Tissue Microenvironment Reports · doi:10.1007/s43152-023-00044-z
Transcription Factors in Cancer
Alsiary, R., Albukhari, T. A., & Filimban, W. A. (2023) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815080384123010010
Dissecting fibroblast growth factor-induced endocrine therapy resistance in breast cancer cellsPreprint
Altelaar, M. A. F., Veth, T. S., & Piskopou, A. (2023) · Research Square · doi:10.21203/rs.3.rs-3075627/v1
Zhang, H., Wang, Z., Yu, J., Yan, M., Xiao, W., & Li, J. (2023) · Research Square · doi:10.21203/rs.3.rs-3264321/v1
Cellular Response to an Act of Surviving Drives Tumor Evolution and Tumor HeterogeneityPreprint
Zhang, Y. (2023) · Preprints.org · doi:10.20944/preprints202310.1417.v1
WITHDRAWNPreprint
Zhang, Y. (2023) · doi:10.31219/osf.io/6qp2v
Cellular Response to an Act of Surviving Drives Tumor Evolution and Tumor HeterogeneityPreprint
Zhang, Y. (2023) · Preprints.org · doi:10.20944/preprints202310.1417.v2
Chang, T., Tsai, M., Wu, S., Liu, Y.-N., Wu, H., Tsai, T.-H., Lu, P.-H., Jheng, H.-N., Hsu, C., Yeh, P.-S., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3674324/v1
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998919
Lyu, X., Zeng, L., Shi, J., Ming, Z., Li, W., Liu, B., Chen, Y., Yuan, B., Sun, R., Yuan, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20056597
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998901
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998910
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998925
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998916
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998913
Bai, Y., Zhang, T., Hussain, S. A., Alrubie, T. M., & Long, F. (2024) · Revista Brasileira de Farmacognosia · doi:10.1007/s43450-024-00596-7
Heterogeneidad tumoral: la próxima frontera
Arrieta, O. G., Cabrera, L., Dávila, D., Ruíz-Patiño, A., & Cardona, A. F. (2024) · Medicina · doi:10.56050/01205498.2370
Cryptotanshinone differentially induces cell death in ATP6V0D1-deficient pancreatic cancer cells
Chen, F., Lin, J., Cai, X., Tang, H., Li, S., Liang, R., Kang, R., Zhang, Z., Tang, D., & Liu, J. (2025) · Cancer Drug Resistance · doi:10.20517/cdr.2025.103
Comprehensive miRNA profiles revealing cancer-immunityPreprint
Yin, J., zhou, Y., Chang, Z., Yu, J., Wang, C., Qian, Z., Liu, Z., Wang, G., & Ding, N. (2025) · Research Square · doi:10.21203/rs.3.rs-7430586/v1
Keum, S., Hwang, Y., Lee, M., Song, S., Jeong, J., Hwang, Y. E., Choi, J., Kim, J. W., & Rhee, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-24452-3
Lee, D. H., Yoo, J. K., Um, K. H., Ha, W., Lee, S. M., Park, J., Kye, M. J., Suh, J., & Choi, J. W. (2024) · Figshare · doi:10.6084/m9.figshare.26054692
Vangala, D., Ladigan, S., Liffers, S. T., Noseir, S., Maghnouj, A., Götze, T.-M., Verdoodt, B., Klein‐Scory, S., Godfrey, L., Zowada, M. K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14998907
Fang, K., Sun, M., Leng, Z., Chu, Y., Zhao, Z., Li, Z., Zhang, Y., Xu, A., Zhang, Z., Zhang, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22617799
Fang, K., Sun, M., Leng, Z., Chu, Y., Zhao, Z., Li, Z., Zhang, Y., Xu, A., Zhang, Z., Zhang, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22617793
Huang, H., Yi, X., Wei, Q., Li, M., Cai, X., Lv, Y., Weng, L., Mao, Y., Fan, W., Zhao, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26566451
Fang, K., Sun, M., Leng, Z., Chu, Y., Zhao, Z., Li, Z., Zhang, Y., Xu, A., Zhang, Z., Zhang, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22617796
Fang, K., Sun, M., Leng, Z., Chu, Y., Zhao, Z., Li, Z., Zhang, Y., Xu, A., Zhang, Z., Zhang, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22617790
Zhou, X., Parisi, L., Liu, S., Cheng, Z., Liang, H., Youseffi, M., Javid, F. A., & Ma, R. (2026) · Bioinformatics Advances · doi:10.1093/bioadv/vbag059
Zhou, J., Li, L., Zhang, Y., Ma, X., Guo, X., & Sui, A. (2026) · Experimental Brain Research · doi:10.1007/s00221-026-07257-2
Wang, H., Chen, L., Zhang, S., Ju, M., Feng, J., Tang, Z., Li, J., El-Seedi, H. R., & Wang, Y. (2026) · Mycology: An International Journal on Fungal Biology · doi:10.1080/21501203.2026.2634522
CD59 promotes pancreatic cancer progression via a tumor cell-intrinsic JAK2-STAT3 signaling axis
Li, Z., Chen, X., wu, Y., & Xu, Y. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.153609
Iksen, I., Jitsayreerat, C., Klanbunchum, C., Nguyen, H. M., Hoang, H. N. T., Hồ, Đ. V., & Pongrakhananon, V. (2026) · Medicine in Drug Discovery · doi:10.1016/j.medidd.2026.100254
Bernardo, S. (2019) · theses.fr (ABES) · doi:10.70675/df87afcbz5843z4c32z9d7cz074065a8acf1
Rôle de la protéine RICTOR dans le développement des mélanomes
Jebali, A. (2020) · theses.fr (ABES) · doi:10.70675/468ac338zaceaz4caaza391zda7d8da0cb2a
Molecular mechanisms of drug-tolerance to EGFR-targeted therapies in lung adenocarcinoma
Léonce, C. (2021) · theses.fr (ABES) · doi:10.70675/0611e924z7044z428cz90dcz9235e0a4b5a2
ERK1/2 hijack STAT3 via Thr714 phosphorylation to suppress gene expression
Liu, J., Hao, Y., Yu, H., Peng, T., Lu, X. B., Chinn, Y. E., & Yue, J. (2026) · Cell Communication and Signaling · doi:10.1186/s12964-026-02818-y
Huang, J., Chen, G., Wang, Z., Jin, W., Zhao, Y., Zhang, Y., Zhuang, W., Xin, Y., Yan, W., Zhou, J., et al. (2026) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2026.103737
Davis, W. J. H., Thompson, M., Farry, S. M., McKinney, C., Gimenez, G., Hatley, M. E., Kumar, R., Rodger, E. J., Chatterjee, A., Diermeier, S. D., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.07.723110
MiR-23c Regulates the Resistance to Gefitinib in EGFR Mutant Non-Small-Cell Lung Cancer Cells
Ignoto, B., Parisi, I. A., Roma, C., Camerlingo, R., Dotolo, S., Tufano, S., Maiello, M. R., Normanno, N., Morabito, A., Luca, A. D., et al. (2026) · Cells · doi:10.3390/cells15121043
M1C IS NECESSARY FOR DARAXONRASIB RESISTANCE OF NSCLC KRAS(G12C) MUTANT CELLSPreprint
Takamori, S., Haratake, N., Nonaka, K., Moriya, M., Bhattacharya, A., Takenaka, T., Yoshizumi, T., Long, M. D., & Kufe, D. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.20.733526
Almouh, M., Al-Daoud, F., Jnaid, F., Dabbagh, A., Naef, H., Maarouf, O., & Kassouha, M. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.154291
JI017 Sensitizes EGFR-T790M NSCLC to Erlotinib by Extinguishing the STAT3–Survivin Axis
Kim, D., Kim, Y.-H., Choi, G., Cheon, C., & Ko, S. (2026) · Integrative Cancer Therapies · doi:10.1177/15347354261475694
HER2 targeted therapy resistance in breast cancer: from molecular landscape to clinical aspects
Zhang, H., Ma, D., Li, F., Shao, Z., & Chen, C. (2026) · Science China Life Sciences · doi:10.1007/s11427-025-3311-5
DeLiberty, J. M., Kong, F. Y., Yu, Q., Sindoni, N., Lin, J., Kang, K., Kim, E. Y., Chen, S., Padhye, A., Coker, O., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.01.756025
BindingDB Entry 50018463: Allosteric inhibitors of the STAT3 signaling pathway.
BindingDB (2024) · UC San Diego · doi:10.7270/q2m90dwx
BindingDB Entry 50012646: NO-releasing STAT3 inhibitors suppress BRAF-mutant melanoma growth.
BindingDB (2022) · UC San Diego · doi:10.7270/q2m330gn
BindingDB Entry 50002075: Chemically Induced Degradation of Anaplastic Lymphoma Kinase (ALK).
BindingDB (2020) · UC San Diego · doi:10.7270/q2xs5xzj
Metadata
- Authors
- Lee, H.-J., Zhuang, G., Cao, Y., Du, P., Kim, H.-J., & Settleman, J.
- Affiliations
- Genentech (US)
- Corresponding author
- Settleman, Jeff
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 26
- Issue
- 2
- Pages
- 207-221
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2102365935
- Cited by
- 555
- References
- 40
- Citations by year
- 2026: 23 · 2025: 27 · 2024: 36 · 2023: 41 · 2022: 38 · 2021: 61 · 2020: 55 · 2019: 63 · 2018: 46 · 2017: 65 · 2016: 54 · 2015: 42 · 2014: 4
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Cytokine Signaling Pathways and Interactions
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- STAT3, drug resistance, oncogene addiction, positive feedback loop, MEK inhibition, JAK inhibition, fibroblast growth factor receptor, EGFR, HER2, anaplastic lymphoma kinase, MET, mutant KRAS, autocrine signaling, combination therapy, tumor regression
- MeSH terms
- Erlotinib Hydrochloride, Adenocarcinoma of Lung, Adenocarcinoma, Animals, Antineoplastic Agents, Cell Survival, Humans, Imidazoles, Lung Neoplasms, Mutation, Nitriles, Oncogenes, Proto-Oncogene Proteins, Pyrazoles, Pyridazines, Pyrimidines, Quinazolines, Signal Transduction, Interleukin-6, Proto-Oncogene Proteins p21(ras), Mice, SCID, Receptors, Fibroblast Growth Factor, ras Proteins, Drug Resistance, Neoplasm, Phosphatidylinositol 3-Kinases, Xenograft Model Antitumor Assays, Cell Line, Tumor, STAT3 Transcription Factor, Mice, Kaplan-Meier Estimate, Janus Kinase 1, ErbB Receptors
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