Evidence map›Paper›PMID 40066058›Full record

ArticleTherapeutics and clinical risk management2025

A Nomogram Based on S100A7 and Clinicopathological Characteristics to Predict the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer: A Retrospective Study.

Tianqi Zhang, Xin Yu, Xiaolu Yang, Yilun Li, Xiaolong Li, Li Ma

Abstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2025. 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

6 authors.

Tianqi ZhangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Xin YuDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiaolu YangDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Yilun LiDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiaolong LiDepartment of Breast Surgery, The Fourth Hospital of Shijiazhuang, Shijiazhuang, People's Republic of China.
Li MaDepartment of Breast Disease Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We have previously found that S100 calcium-binding protein A7 (S100A7) is strongly associated with chemoresistance in breast cancer (BC). In this study, we investigated whether S100A7 can be used to predict the efficacy of neoadjuvant chemotherapy (NAC) and assessed its relationship with clinicopathological characteristics in BC. Methods: We retrospectively analyzed the clinicopathological data of patients with BC who underwent NAC at the Fourth Hospital of Hebei Medical University between January 2021 and December 2021. The Results: A total of 76 patients with BC who underwent NAC were included in this study; of these patients, 49 were sensitive to NAC, whereas 27 were insensitive to NAC. Statistically significant differences were observed in age, menstrual status, histological grade, T stage, Ki67, and S100A7 expression between the NAC-sensitive and NAC-insensitive groups. Regression analysis showed that age, histological grade, Ki67, subtype, menstrual status, TILs and S100A7 expression were predictors of NAC efficacy. However, only histological grade III (OR, 25.613; 95% CI, 1.254-523.077; Conclusion: S100A7 may serve as a predictor of NAC efficacy in patients with BC.

Indexed as

breast cancerneoadjuvant chemotherapypredictorS100A7

Identifiers

PMID40066058
PMCPMC11892500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.