The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Prognostic Role of Tumor-Infiltrating Lymphocytes in Lung Cancer: a Meta-Analysis
Open accessAbstract
Background/Aims: The role of Tumor-infiltrating lymphocytes (TILs) in the prognosis of patients with lung cancer is still controversial. We performed a meta-analysis to evaluate the prognostic role of TILs in lung cancer. Methods: Studies were recruited by searching PubMed, Embase and the Cochrane Library and assessed by further quality evaluation. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to investigate the association between TIL subsets and lung cancer patients' outcome. Results: A total of 29 articles including 8,600 patients were enrolled into the meta-analysis. Our results indicated that high level of CD8+ cells infiltration in tumor stroma (TS) or tumor nest (TN) was associated with better OS in lung cancer patients (HR = 0.76, 95% CI 0.62-0.93, P = 0.006; HR = 0.80, 95% CI 0.67-0.96; P = 0.018, respectively). Similar results could be also observed in CD3+ T cells infiltration. High CD4+ T lymphocytes infiltration in TS was explicitly accompanied by better OS (HR = 0.65, 95% CI 0.46-0.91; P = 0.013), rather than in TN. In contrast, high density of FOXP3+ T cells infiltration in TS showed a poor PFS (HR = 2.67, 95% CI, 1.74-4.08, P < 0.001). Conclusion: This meta-analysis clarified that high level of CD8+ and CD3+ T cells infiltration in TS or TN, and high CD4+ T lymphocytes infiltration in TS showed better OS in lung cancer patients, whereas high density of FOXP3+ T cells infiltration in TS could be recognized as a negative prognostic factor.
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
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Jemal, A., Bray, F., Center, M. M., Ferlay, J., Ward, E., & Forman, D. (2011) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20107 · Cited by 54,679
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Stang, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9491-z · Cited by 17,396
Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome
Galon, J., Costes, A., Sanchez-Cabo, F., Kirilovsky, A., Mlecnik, B., Lagorce-Pagès, C., Tosolini, M., Camus, M., Berger, A., Wind, P., et al. (2006) · Science · doi:10.1126/science.1129139 · Cited by 6,516
Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
Schreiber, R. D., Old, L. J., & Smyth, M. J. (2011) · Science · doi:10.1126/science.1203486 · Cited by 6,474
Practical methods for incorporating summary time-to-event data into meta-analysis.
Tierney, J. F., Stewart, L. A., Ghersi, D., Burdett, S., & Sydes, M. R. (2007) · Trials · doi:10.1186/1745-6215-8-16 · Cited by 6,208
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
Cited by
Immune checkpoint inhibitors: recent progress and potential biomarkers
Darvin, P., Toor, S. M., Sasidharan Nair, V., & Elkord, E. (2018) · Experimental & Molecular Medicine · doi:10.1038/s12276-018-0191-1 · Cited by 2,035
HYPE or HOPE: the prognostic value of infiltrating immune cells in cancer
Barnes, T. A., & Amir, E. (2017) · British Journal of Cancer · doi:10.1038/bjc.2017.220 · Cited by 432
Xia, L., Liu, Y., & Wang, Y. (2019) · The Oncologist · doi:10.1634/theoncologist.2019-io-s1-s05 · Cited by 394
Barua, S., Fang, P., Sharma, A., Fujimoto, J., Wistuba, I., Rao, A. U. K., & Lin, S. H. (2018) · Lung Cancer · doi:10.1016/j.lungcan.2018.01.022 · Cited by 223
Metadata
- Authors
- Geng, Y., Shao, Y., He, W., Hu, W., Xu, Y., Chen, J., Wu, C., & Jiang, J.
- Venue
- Cellular Physiology and Biochemistry
- Publisher
- S. Karger AG
- Published
- 2015
- Volume
- 37
- Issue
- 4
- Pages
- 1560-1571
- ISSN
- 1015-8987 (ISSN-L)
- 1421-9778
- OpenAlex
- W1827997917
- Cited by
- 253
- References
- 52
- FWCI
- 6.63
- 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: Prognostic Role of Tumor-Infiltrating Lymphocytes in Lung Cancer: a Meta-Analysis. https://app.cochat.ai/papers/10.1159/000438523
- The paper
- Geng, Y., Shao, Y., He, W., Hu, W., Xu, Y., Chen, J., Wu, C., & Jiang, J. (2015). Prognostic Role of Tumor-Infiltrating Lymphocytes in Lung Cancer: a Meta-Analysis. Cellular Physiology and Biochemistry. https://doi.org/10.1159/000438523
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.