Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Peripheral blood markers predictive of outcome and immune-related adverse events in advanced non-small cell lung cancer treated with PD-1 inhibitors

Open access
Peng, Lihong, Wang, Yong, Liu, Fen, Qiu, Xiaotong, Zhang, Xinwei, Fang, Chen, Qian, Xiaoyin, Li, Yong·2020·Cancer Immunology, Immunotherapy

Abstract

Background: Selected patients with advanced non-small cell lung cancer (NSCLC) benefit from immunotherapy, especially immune checkpoint inhibitors such as PD-1 (programmed cell death protein 1) inhibitor. Peripheral blood biomarkers would be most convenient to predict treatment outcome and immune-related adverse events (irAEs) in candidate patients. This study explored associations between inflammation-related peripheral blood markers and onset of irAEs and outcome in patients with advanced NSCLC receiving PD-1 inhibitors. Methods: A retrospective analysis was conducted of 102 patients with advanced NSCLC receiving PD-1 inhibitors from January 2017 to May 2019. Cox regression models were employed to assess the prognostic effect of low/high neutrophil/lymphocyte ratio (NLR), lactate dehydrogenase (LDH), and prognostic nutrition index (PNI) on overall survival (OS) and progression-free survival (PFS). Logistic regression models were used to analyze the correlation between peripheral blood markers and the onset of irAEs. Result: NLR < 5, LDH < 240 U/L, or PNI ≥ 45 was favorably associated with significantly better outcomes compared with higher, higher, or lower values, respectively. The multivariate analysis determined that these parameters were independently associated with both better PFS (p = 0.049, 0.046, 0.014, respectively) and longer OS (p = 0.007, 0.031, < 0.001, respectively). Patients with three favorable factors among NLR, LDH, and PNI had better PFS and OS than did those with two, one, or none. PNI and NLR were associated with the onset of irAEs. Conclusion: In patients with advanced NSCLC treated with PD-1 inhibitors, pretreatment NLR, LDH, and PNI may be useful predictive markers of clinical outcome and irAEs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00262-020-02585-w

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 34 references

Cited by

See all 266

Metadata

Authors
Peng, L., Wang, Y., Liu, F., Qiu, X., Zhang, X., Fang, C., Qian, X., & Li, Y.
Venue
Cancer Immunology, Immunotherapy
Published
2020-04-29
Volume
69
Issue
9
Pages
1813-1822
ISSN
  • 0340-7004 (ISSN-L)
  • 1432-0851
OpenAlex
W3022919793
Cited by
266
References
34
FWCI
10.83
Type
journal article
Language
en
Open access
hybrid

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: Peripheral blood markers predictive of outcome and immune-related adverse events in advanced non-small cell lung cancer treated with PD-1 inhibitors. https://app.cochat.ai/papers/10.1007/s00262-020-02585-w
The paper
Peng, L., Wang, Y., Liu, F., Qiu, X., Zhang, X., Fang, C., Qian, X., & Li, Y. (2020). Peripheral blood markers predictive of outcome and immune-related adverse events in advanced non-small cell lung cancer treated with PD-1 inhibitors. Cancer Immunology, Immunotherapy. https://doi.org/10.1007/s00262-020-02585-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.