The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
LAYN Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Gastric and Colon Cancers
Open accessAbstract
Background: Layilin (LAYN) is a critical gene that regulates T cell function. However, the correlations of LAYN to prognosis and tumor-infiltrating lymphocytes in different cancers remain unclear. Methods: LAYN expression was analyzed via the Oncomine database and Tumor Immune Estimation Resource (TIMER) site. We evaluated the influence of LAYN on clinical prognosis using Kaplan-Meier plotter, the PrognoScan database and Gene Expression Profiling Interactive Analysis (GEPIA). The correlations between LAYN and cancer immune infiltrates was investigated via TIMER. In addition, correlations between LAYN expression and gene marker sets of immune infiltrates were analyzed by TIMER and GEPIA. Results: A cohort (GSE17536) of colorectal cancer patients showed that high LAYN expression was associated with poorer overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS). In addition, high LAYN expression was significantly correlated with poor OS and progression-free survival (PFS) in gastric cancers (OS HR = 1.97, P = 3.6e-10; PFS HR = 2.12, P = 2.3e-10). Moreover, LYAN significantly impacts the prognosis of diverse cancers via The Cancer Genome Atlas (TCGA). Specifically, high LAYN expression was correlated with worse OS and PFS in stage 2 to 4 but not stage 1 and stage N0 gastric cancer patients (P = 0.28, 0.34; P = 0.073, 0.092). LAYN expression was positively correlated with infiltrating levels of CD4+ T and CD8+ T cells, macrophages, neutrophils and dendritic cells (DCs) in colon adenocarcinoma (COAD) and stomach adenocarcinoma (STAD). LAYN expression showed strong correlations with diverse immune marker sets in COAD and STAD. Conclusions: These findings suggest that LAYN is correlated with prognosis and immune infiltrating levels of, including those of CD8+ T cells, CD4+ T cells, macrophages, neutrophils and DCs in multiple cancers, especially in colon and gastric cancer patients. In addition, LAYN expression potentially contributes to regulation of tumor-associated macrophages (TAMs), DCs, T cell exhaustion and Tregs in colon and gastric cancer. These findings suggest that LAYN can be used as a prognostic biomarker for determining prognosis and immune infiltration in gastric and colon cancers.
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
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Tang, Z., Li, C., Kang, B., Gao, G., Li, C., & Zhang, Z. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx247 · Cited by 9,849
Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells
Li, T., Fan, J., Wang, B., Traugh, N., Chen, Q., Liu, J. S., Li, B., & Liu, X. S. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0307 · Cited by 5,913
Overman, M. J., McDermott, R., Leach, J. L., Lonardi, S., Lenz, H.-J., Morse, M. A., Desai, J., Hill, A., Axelson, M., Moss, R. A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30422-9 · Cited by 2,836
Comprehensive analyses of tumor immunity: implications for cancer immunotherapy
Li, B., Severson, E., Pignon, J.-C., Zhao, H., Li, T., Novak, J., Jiang, P., Shen, H., Aster, J. C., Rodig, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-1028-7 · Cited by 2,451
Cited by
Tu, L., Guan, R., Yang, H., Zhou, Y., Hong, W., Ma, L., Zhao, G., & Yu, M. (2020) · International Journal of Cancer · doi:10.1002/ijc.32785 · Cited by 167
Zhu, H.-Z., Zhou, W.-J., Wan, Y.-F., Ge, K., Lu, J., & Jia, C.-K. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i8.804 · Cited by 33
Yang, B., Su, Z., Chen, G., Zeng, Z., Tan, J., Wu, G., Zhu, S., & Lin, L. (2021) · Oncology Letters · doi:10.3892/ol.2021.12441 · Cited by 36
Self-citationLin, T., Qiu, Y., Peng, W., & Peng, L. (2020) · BioMed Research International · doi:10.1155/2020/2148253 · Cited by 31
Prognostic Implication of Plasma Metabolites in Gastric Cancer
Cao, K., Lyu, Y., Chen, J., He, C., Lyu, X., Zhang, Y., Chen, L., Jiang, Y., Xiang, J., Liu, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612774 · Cited by 16
Metadata
- Authors
- Pan, J.-H., Zhou, H., Cooper, L., Huang, J.-L., Zhu, S.-B., Zhao, X.-X., Ding, H., Pan, Y.-L., & Rong, L.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2019-01-29
- Volume
- 10
- Pages
- 6-6
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2911335821
- Cited by
- 300
- References
- 45
- FWCI
- 18.32
- 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: LAYN Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Gastric and Colon Cancers. https://app.cochat.ai/papers/10.3389/fimmu.2019.00006
- The paper
- Pan, J.-H., Zhou, H., Cooper, L., Huang, J.-L., Zhu, S.-B., Zhao, X.-X., Ding, H., Pan, Y.-L., & Rong, L. (2019). LAYN Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Gastric and Colon Cancers. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2019.00006
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.