Evidence map›Paper›PMID 40421023›Full record

Trial reportFrontiers in immunology2025

Pathological complete response and prognostic predictive factors of neoadjuvant chemoimmunotherapy in early stage triple-negative breast cancer.

Xuwei Chen, Hengming Ye, Daming Xu, Siqi Chen, Wei Wu, Xiaoyu Qian, Xinyu Zhang, Xuxiazi Zou, Junquan Chen, Xi Wang

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
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

10 authors.

Xuwei Chen *Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Hengming Ye *Department of Disease Prevention and Control, Public Health Service Center of Bao'an District, Shenzhen, Guangdong, China.
Daming Xu *Department of Experimental Research, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, ;China.
Siqi Chen *Department of Experimental Research, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, ;China.
Wei WuDepartment of Experimental Research, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, ;China.
Xiaoyu QianDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Xinyu ZhangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Xuxiazi ZouDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Junquan ChenDepartment of Experimental Research, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, ;China.
Xi WangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neoadjuvant chemoimmunotherapy (nCIT) has shown promise in treating early-stage triple-negative breast cancer (eTNBC), but predictive biomarkers for pathological response and prognosis remain poorly defined. Objective: This study aimed to explore pathological complete response and prognostic predictive factors in eTNBC patients treated with nCIT. Materials and methods: We retrospectively analyzed 112 eTNBC patients who underwent surgery after nCIT at Sun Yat-sen University Cancer Center between June 2019 and June 2023. Pathological response was assessed using Miller-Payne grade. Clinicopathological features and hematologic markers were analyzed with univariate and multivariate logistic regression or Cox regression, as well as Kaplan-Meier survival curves. Objective response rate (ORR), pathological complete response (pCR), and disease-free survival (DFS) were evaluated. Nomograms predicting pCR and DFS were constructed based on significant risk factors and the systemic inflammatory response index (SIRI). Results: Higher baseline lymphocyte counts ( Conclusion: Hematologic inflammatory markers, particularly SIRI, are cost-effective and reliable predictors of prognosis and treatment efficacy in eTNBC patients undergoing nCIT, helping clinicians develop personalized treatment strategies. Clinical trial registration: https://www.medicalresearch.org.cn/, identifier MR-44-24-046099.

Indexed as

ImmunotherapyNeoadjuvant TherapyTriple Negative Breast NeoplasmsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMiddle AgedNeoplasm StagingNomogramsPrognosisRetrospective StudiesTreatment Outcomeearly-stage triple-negative breast cancerinflammatory markersneoadjuvant chemoimmunotherapypathological complete responsesystemic inflammatory response index

Identifiers

PMID40421023
PMCPMC12104239

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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.