Evidence map›Paper›PMID 42153091›Full record

ArticleTherapeutic advances in medical oncology2026

Dynamic inflammatory biomarkers as prognostic indicators in advanced breast cancer patients receiving PD-1 inhibitors.

Na Wang, Peijun Yi, Qianyi Lu, Yi Zhong, Cong Xue, Ping Zhang, Shusen Wang, Zhongyu Yuan, Yanxia Shi, Hanmu Chen and 2 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Na WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID https://orcid.org/0009-0006-6157-2178
Peijun YiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Qianyi LuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yi ZhongState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Cong XueState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Ping ZhangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Shusen WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID https://orcid.org/0000-0003-0139-5780
Zhongyu YuanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yanxia ShiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Hanmu ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Fei XuDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dong Feng Road East, Guangzhou, Guangdong 510060, P.R. China.ORCID https://orcid.org/0000-0001-8543-6636
Kuikui JiangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dong Feng Road East, Guangzhou, Guangdong 510060, P.R. China.ORCID https://orcid.org/0000-0003-4498-8404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While programmed cell death protein 1 (PD-1) inhibitors benefit breast cancer patients, simple predictors of their efficacy are lacking. Objectives: This study aimed to evaluate inflammatory markers as prognostic indicators for advanced breast cancer (ABC) patients receiving immunotherapy. Design: This is a single-center retrospective study of ABC patients treated with PD-1 inhibitors between January 2016 and June 2022. Methods: Clinicopathological parameters, tumor-infiltrating lymphocytes (TILs) levels, and inflammatory markers-C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR)-were collected from 116 ABC patients at baseline and after three cycles of immunotherapy (CRP3, NLR3, LMR3). Optimal cut-offs were defined using R software and associations with progression-free survival (PFS), overall survival (OS), and objective response rate were assessed. Results: Low baseline CRP, low NLR, and high LMR were significantly associated with improved PFS and OS (all Conclusion: CRP and NLR are promising biomarkers for predicting outcomes of PD-1 inhibitor therapy in ABC, with potential utility in individualizing immunotherapy strategies.

Indexed as

advanced breast cancerC-reactive proteinimmunotherapyneutrophil-to-lymphocyte ratioprognostic biomarkertumor-infiltrating lymphocytes

Identifiers

PMID42153091
PMCPMC13180113

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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.