Evidence map›Paper›PMID 35945957›Full record

ArticleDisease markers2022

Clinical Significance of Serum Biomarkers in Stage IV Non-Small-Cell Lung Cancer Treated with PD-1 Inhibitors: LIPI Score, NLR, dNLR, LMR, and PAB.

Jia Chen, Sheng Wei, Tianye Zhao, Xunlei Zhang, Yilang Wang, Xiaodong Zhang

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jia ChenDepartment of Medical Oncology, The Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, China.
Sheng WeiDepartment of Medical Oncology, The Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, China.
Tianye ZhaoNantong University, Nantong, China.
Xunlei ZhangDepartment of Medical Oncology, The Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, China.
Yilang WangDepartment of Medical Oncology, The Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, China.ORCID https://orcid.org/0000-0003-1916-6804
Xiaodong ZhangDepartment of Medical Oncology, The Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, China.ORCID https://orcid.org/0000-0002-5849-0212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To assess the prognostic value of pretreatment serum biomarkers in stage IV non-small-cell lung cancer (NSCLC) patients treated with PD-1 (programmed cell death protein 1) inhibitors and their value as a predictor of benefit. Methods: We performed a retrospective study including patients with stage IV NSCLC who were treated with anti-PD-1 drugs in first or advanced lines of therapy in the Affiliated Tumor Hospital of Nantong University. Serum biomarkers such as NLR, dNLR, LMR, PAB, ALB, and LIPI scores were calculated and analyzed in detail. Results: A total of 85 patients with stage IV NSCLC treated with PD-1 inhibitors in the first or advanced lines of therapy were included in this subject. According to the tumor response of PD-1-based treatment, ORR was 42.4% (36/85) and DCR was 68.2% (58/85). The median OS and PFS were 20.0 months and 7.0 months, respectively. The ROC curves showed that the serum biomarkers of NLR, dNLR, LDH, LMR, PAB, and ALB were significantly associated with overall survival and helped to determine the cut-off value. The multivariate Cox proportional hazard analyses for stage IV NSCLC patients treated with PD-1 inhibitors indicated that dNLR ( Conclusions: Pretreatment dNLR is an independent prognostic indicator of both PFS and OS in stage IV NSCLC patients treated with PD-1 inhibitors. Pretreatment LIPI, combining dNLR > 3 and LDH>ULN, was correlated with worse outcome for stage IV NSCLC patients treated with ICI. High NLR, high dNLR, low LMR, and low ALB at baseline might be useful as an early predictive biomarker of benefit.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkersHumansImmune Checkpoint InhibitorsPrognosisRetrospective StudiesBiomarkersImmune Checkpoint Inhibitors

Identifiers

PMID35945957
PMCPMC9357262

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.