Evidence map›Paper›PMID 35707390›Full record

ArticleBioMed research international2022

Prognostic Nutritional Index Predicts Outcome of PD-L1 Negative and MSS Advanced Cancer Treated with PD-1 Inhibitors.

Yan Zhang, Jun Jin, Min Tang, Ping Li, Li-Na Zhou, Yi-Ping Du, Min-Bin Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 24% of its field
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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Yan ZhangDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Jun JinDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Min TangDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Ping LiDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Li-Na ZhouDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Yi-Ping DuDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.
Min-Bin ChenDepartment of Oncology & Radiotherapy, Affiliated Kunshan Hospital of Jiangsu University, Jiangsu, China.ORCID https://orcid.org/0000-0003-1453-8664
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Tumor mutational burden (TMB), microsatellite instability-high (MSI-H), and expression of programmed death ligand-1 (PD-L1) have emerged as predictive biomarkers for responsiveness to immune checkpoint inhibitors (ICIs) in several cancer types. However, for patients with negative PD-L1 expression, or microsatellite stability (MSS), some cases may experience favorable response to immunotherapy, and there is currently a lack of good relevant predictors. We tried to introduce several peripheral blood markers for predicting treatment outcome and immune-related adverse events (irAEs) in PD-L1 negative and MSS patients. Methods: A retrospective study of 142 PD-L1 negative and MSS patients was carried out. The association of peripheral blood markers including lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin-to-globulin ratio (AGR), prognostic nutrition index (PNI), and other factors with clinicopathological characters and prognosis were assessed by Cox regression and Kaplan-Meier methods. Results: Lower level of PNI and poor performance status (ECOG score of 2) was correlated with significantly shorter overall survival (OS) and worse outcome of ICIs. The multivariate analysis revealed that PNI (for OS HR = 0.465, 95% CI: 0.236-0.916, Conclusions: Pretreatment level of PNI and NLR, beyond PD-L1 expression and MSS, can improve the predictive accuracy for immunotherapy outcomes and has the potential to expand the candidate pool of patients for treatment with ICIs.

Indexed as

Immune Checkpoint InhibitorsMicrosatellite InstabilityNeoplasmsNutrition AssessmentB7-H1 AntigenBiomarkers, TumorHumansLymphocyte CountPrognosisRetrospective StudiesB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint Inhibitors

Identifiers

PMID35707390
PMCPMC9192216
OpenAlexW4281651831

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Registered trials

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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.