The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
Targeting MAPK Signaling in Cancer: Mechanisms of Drug Resistance and Sensitivity
Open accessAbstract
Mitogen-activated protein kinase (MAPK) pathways represent ubiquitous signal transduction pathways that regulate all aspects of life and are frequently altered in disease. Here, we focus on the role of MAPK pathways in modulating drug sensitivity and resistance in cancer. We briefly discuss new findings in the extracellular signaling-regulated kinase (ERK) pathway, but mainly focus on the mechanisms how stress activated MAPK pathways, such as p38 MAPK and the Jun N-terminal kinases (JNK), impact the response of cancer cells to chemotherapies and targeted therapies. In this context, we also discuss the role of metabolic and epigenetic aberrations and new therapeutic opportunities arising from these changes.
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.
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
Sui, X., Kong, N., Wang, X., Fang, Y., Hu, X., Xu, Y., Chen, W., Wang, K., Li, D., Jin, W., et al. (2014) · Scientific Reports · doi:10.1038/srep04694 · Cited by 96
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Opposing Effects of ERK and JNK-p38 MAP Kinases on Apoptosis
Xia, Z., Dickens, M., Raingeaud, J., Davis, R. J., & Greenberg, M. E. (1995) · Science · doi:10.1126/science.270.5240.1326 · Cited by 5,287
The Warburg Effect: How Does it Benefit Cancer Cells?
Liberti, M. V., & Locasale, J. W. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.12.001 · Cited by 5,150
EGFR Mutation and Resistance of Non–Small-Cell Lung Cancer to Gefitinib
Kobayashi, S., Boggon, T. J., Dayaram, T., Jänne, P. A., Kocher, O., Meyerson, M., Johnson, B. E., Eck, M. J., Tenen, D. G., & Halmos, B. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa044238 · Cited by 3,964
Marshall, C. J. (1995) · Cell · doi:10.1016/0092-8674(95)90401-8 · Cited by 3,906
Pao, W., Miller, V. A., Politi, K. A., Riely, G. J., Somwar, R., Zakowski, M. F., Kris, M. G., & Varmus, H. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020073 · Cited by 3,527 · cited 1×
“Gefitinib Selective EGFR inhibitor (ATP competitive) EGFR T790M mutation [32,33]; Gene amplification (e.”
BackgroundActivation and function of the MAPKs and their substrates, the MAPK-activated protein kinases
Cargnello, M., & Roux, P. P. (2011) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00031-10 · Cited by 3,274
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
Cancer epigenetics: from mechanism to therapy
Dawson, M. A., & Kouzarides, T. (2012) · Cell · doi:10.1016/j.cell.2012.06.013 · Cited by 3,203
Cited by
Signaling pathways in cancer-associated fibroblasts and targeted therapy for cancer
Wu, F., Yang, J., Liu, J., Wang, Y., Mu, J., Zeng, Q., Deng, S., & Zhou, H. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00641-0 · Cited by 773
Natural Products as Anticancer Agents: Current Status and Future Perspectives
Naeem, A., Hu, P., Yang, M., Zhang, J., Liu, Y., Zhu, W., & Zheng, Q. (2022) · Molecules · doi:10.3390/molecules27238367 · Cited by 607
Anticancer drug resistance: An update and perspective
Nussinov, R., Tsai, C.-J., & Jang, H. (2021) · Drug Resistance Updates · doi:10.1016/j.drup.2021.100796 · Cited by 386
Hepatocellular carcinoma: signaling pathways and therapeutic advances
Zheng, J., Wang, S., Xia, L., Sun, Z., Chan, K. M., Bernards, R., Qin, W., Chen, J., Xia, Q., & Jin, H. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02075-w · Cited by 341
MAPK/ERK Signaling Pathway in Hepatocellular Carcinoma
Moon, H., & Ro, S. W. (2021) · Cancers · doi:10.3390/cancers13123026 · Cited by 326
Metadata
- Authors
- Lee, S., Rauch, J., & Kolch, W.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2020-02-07
- Volume
- 21
- Issue
- 3
- Pages
- 1102
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W3005196658
- Cited by
- 799
- References
- 202
- FWCI
- 29.04
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Targeting MAPK Signaling in Cancer: Mechanisms of Drug Resistance and Sensitivity. https://app.cochat.ai/papers/10.3390/ijms21031102
- The paper
- Lee, S., Rauch, J., & Kolch, W. (2020). Targeting MAPK Signaling in Cancer: Mechanisms of Drug Resistance and Sensitivity. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms21031102
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.