Evidence map›Paper›PMID 40176396›Full record

ArticleThoracic cancer2025

Clinicopathological Factors That Predict Different Responses of Breast and Axillary Tumors to Neoadjuvant Chemotherapy and Prognosis Among Patients With Node-Positive Breast Cancer: Real World Data.

Danyang Ji, Bo Lan, Jiayu Wang, Fei Ma, Yang Luo, Qing Li, Pin Zhang, Ruigang Cai, Qiao Li, Shanshan Chen and 2 more

Abstract read
In one paragraph

Article in Thoracic cancer, 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

12 authors.

Danyang JiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bo LanDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jiayu WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei MaDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yang LuoDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Pin ZhangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ruigang CaiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qiao LiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shanshan ChenDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Binghe XuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-4195-337X
Ying FanDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0004-7038-8239

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-014CAMS Innovation Fund for Medical Sciences 2022-I2M-2-002CAMS Innovation Fund for Medical Sciences 2023-I2M-C&T-B-077Major project of Medical Oncology Key Foundation of Cancer Hospital Chinese Academy of Medical Sciences CICAMS-MOMP202203
6 · The paper itself

Abstract

backgroundPathological complete response (pCR) has been proven to be related to prognosis. pCR can be further classified as pCR of the breast (bpCR), pCR of axillary lymph nodes (apCR) or pCR of both tumors. The aim of this study was to elucidate the outcomes and clinicopathological characteristics associated with different patterns of pCR.

methodsPatients with node-positive disease who received neoadjuvant chemotherapy between August 2009 and July 2016 and who achieved pCR in axillary lymph nodes, breast or both were included. Multivariate logistic regression was used to identify factors related to different patterns of pCR.

resultsAmong the 271 patients who were included in the study, 42.1% achieved total pCR, 46.1% achieved ApCR, and 11.8% achieved BpCR. Disease-free survival (DFS) was significantly better in the total pCR group than in the limited pCR groups throughout the entire cohort (p = 0.042). Univariate and multivariate analyses indicated that patients with HR-negative disease and a high Ki-67 proliferation index were more likely to achieve total pCR. Patients with earlier T stage disease were more likely to achieve pCR only in the breast. Among patients who achieved limited pCR, there was no significant difference in terms of whether these patients received intensified adjuvant chemotherapy.

conclusionsTotal pCR is still the best marker for predicting survival benefit in patients receiving neoadjuvant chemotherapy, and total pCR is more likely to be achieved in patients with HR-negative disease and a high Ki-67 proliferation index. T stage and N stage may predict apCR and bpCR, respectively.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyAdultAgedAxillaChemotherapy, AdjuvantFemaleHumansLymphatic MetastasisLymph NodesMiddle AgedPrognosisbreast cancerneoadjuvantnode‐positivepathological complete responseprognosis

Identifiers

PMID40176396
PMCPMC11965701

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.