The DOI matches its Crossref record; 562 of the 562 references it cites were found in a registry or an index.
Signaling pathways and therapeutic interventions in gastric cancer
Open accessAbstract
Gastric cancer (GC) ranks fifth in global cancer diagnosis and fourth in cancer-related death. Despite tremendous progress in diagnosis and therapeutic strategies and significant improvements in patient survival, the low malignancy stage is relatively asymptomatic and many GC cases are diagnosed at advanced stages, which leads to unsatisfactory prognosis and high recurrence rates. With the recent advances in genome analysis, biomarkers have been identified that have clinical importance for GC diagnosis, treatment, and prognosis. Modern molecular classifications have uncovered the vital roles that signaling pathways, including EGFR/HER2, p53, PI3K, immune checkpoint pathways, and cell adhesion signaling molecules, play in GC tumorigenesis, progression, metastasis, and therapeutic responsiveness. These biomarkers and molecular classifications open the way for more precise diagnoses and treatments for GC patients. Nevertheless, the relative significance, temporal activation, interaction with GC risk factors, and crosstalk between these signaling pathways in GC are not well understood. Here, we review the regulatory roles of signaling pathways in GC potential biomarkers, and therapeutic targets with an emphasis on recent discoveries. Current therapies, including signaling-based and immunotherapies exploited in the past decade, and the development of treatment for GC, particularly the challenges in developing precision medications, are discussed. These advances provide a direction for the integration of clinical, molecular, and genomic profiles to improve GC diagnosis and treatments.
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
4 retracted
Zhang, J., Chen, Z.-H., Chen, D.-L., Tian, X.-P., Wang, C.-Y., Zhou, Z.-W., Gao, Y., Xu, Y., Chen, C., Zheng, Z.-S., et al. (2018) · Oncogene · doi:10.1038/s41388-018-0162-y · Cited by 140
Self-citationRetractedSun, B., Yang, H., Cai, H., Huang, H., & Xuan, Y. (2020) · Cellular Oncology · doi:10.1007/s13402-020-00560-2 · Cited by 23
RetractedDong, C., Sun, J., Ma, S., & Zhang, G. (2019) · BMC Cancer · doi:10.1186/s12885-019-5750-x · Cited by 14
RetractedWu, Y., Wan, X., Zhao, X., Song, Z., Xu, Z., Tao, Y., & Sun, C. (2020) · PubMed Central · Cited by 13
RetractedSung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., et al. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0758.1 · Cited by 9,010
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
Ferlay, J., Colombet, M., Soerjomataram, I., Mathers, C., Parkin, D. M., Piñeros, M., Znaor, A., & Bray, F. (2019) · International Journal of Cancer · doi:10.1002/ijc.31937 · Cited by 7,553
Bang, Y.-J., Van Cutsem, E., Feyereislova, A., Chung, H. C., Shen, L., Sawaki, A., Lordick, F., Ohtsu, A., Omuro, Y., Satoh, T., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61121-x · Cited by 7,302
Untangling the ErbB signalling network
Yarden, Y., & Sliwkowski, M. X. (2001) · Nature Reviews Molecular Cell Biology · doi:10.1038/35052073 · Cited by 6,974
Cited by
Li, G., Huo, D., Guo, N., Li, Y., Ma, H., Liu, L., Xie, H., Zhang, D., Qu, B., & Chen, X. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1106724 · Cited by 5
Metadata
- Authors
- Lei, Z.-N., Teng, Q.-X., Tian, Q., Chen, W., Xie, Y., Wu, K., Zeng, Q., Zeng, L., Pan, Y., Chen, Z.-S., & He, Y.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2022-10-08
- Volume
- 7
- Issue
- 1
- Pages
- 358-358
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4303644985
- Cited by
- 322
- References
- 562
- FWCI
- 34.39
- 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: Signaling pathways and therapeutic interventions in gastric cancer. https://app.cochat.ai/papers/10.1038/s41392-022-01190-w
- The paper
- Lei, Z.-N., Teng, Q.-X., Tian, Q., Chen, W., Xie, Y., Wu, K., Zeng, Q., Zeng, L., Pan, Y., Chen, Z.-S., & He, Y. (2022). Signaling pathways and therapeutic interventions in gastric cancer. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-022-01190-w
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.