Evidence map›Paper›PMID 42143190›Full record

SynthesisClinical and experimental medicine2026

Predictors of pathologic complete response in triple‑negative breast cancer treated with neoadjuvant chemotherapy: a systematic review and meta-analysis.

Xingyu Li, Ke Peng, Qiuxia Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Clinical and experimental medicine, 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
–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

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

3 authors.

Xingyu Li *Traditional Chinese Medicine Hospital of Renshou County, Renshou County, Meishan, 620500, Sichuan, China. 1171079556@qq.com.ORCID http://orcid.org/0009-0000-6376-097X
Ke Peng *Traditional Chinese Medicine Hospital of Renshou County, Renshou County, Meishan, 620500, Sichuan, China.
Qiuxia Li *Traditional Chinese Medicine Hospital of Renshou County, Renshou County, Meishan, 620500, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative neoadjuvant chemotherapy (NAC) is a commonly employed treatment strategy for triple-negative breast cancer (TNBC). Various clinical factors may influence the likelihood of achieving a pathological complete response (pCR) following NAC. This study conducted a meta-analysis to identify factors associated with pCR to inform clinical decision-making. EMBASE, PubMed, WOS, Scopus databases were selected as the information sources to identify studies published before July 1, 2025. Predefined inclusion and exclusion criteria were applied, and the quality of included studies was assessed. Commonly reported factors were subjected to meta-analysis. Thirteen studies published between 2011 and 2025 were included, with eight published before 2020 and five thereafter. Seven potential influencing factors were analyzed, including individual characteristics, pathological features, and serum biomarkers. The pooled results indicated that clinical tumor stage (OR (odds ratio) = 0.35, 95% CI: 0.21-0.59, p = 0.032), Ki-67 expression (OR = 2.91, 95% CI: 1.64-5.16, p < 0.001), BRCA1/2 mutation status (OR = 1.95, 95% CI: 1.04-3.66, p = 0.037), and neutrophil-to-lymphocyte ratio (NLR) (OR = 5.61, 95% CI: 2.05-15.34, p < 0.001) were significantly associated with pCR. In contrast, age at diagnosis, histological grade, and nodal status were not statistically significant predictors. The likelihood of achieving pCR in TNBC patients undergoing NAC is significantly associated with clinical stage, Ki-67 expression, BRCA1/2 mutation status, and NLR. These factors should be evaluated prior to chemotherapy to help tailor treatment strategies and optimize therapeutic outcomes.

Indexed as

Neoadjuvant TherapyTriple Negative Breast NeoplasmsBiomarkers, TumorFemaleHumansPathologic Complete ResponseTreatment OutcomeBiomarkers, TumorMeta analysisNeoadjuvant chemotherapyPredictorsTriple‑negative breast cancer

Identifiers

PMID42143190
PMCPMC13346294

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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.