Evidence map›Paper›PMID 40115858›Full record

ArticleGland surgery2025

Prognostic analysis of N3 locally advanced breast cancer according to the 8th edition of AJCC clinical stage: a propensity-matched SEER analysis.

Qingyun Li, Yanhua Wu, Sihua Lu, Wenxiong Nong, Zhidong Wu, Wanwang Liang, Yunbo Luo

Abstract read
In one paragraph

Article in Gland surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Qingyun Li *Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.ORCID https://orcid.org/0009-0006-7331-335X
Yanhua Wu *Department of Vascular Surgery, Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, China.
Sihua LuDepartment of Thyroid and Breast Surgery, Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, China.
Wenxiong NongDepartment of Thyroid and Breast Surgery, Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, China.
Zhidong WuDepartment of Thyroid and Breast Surgery, Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, China.
Wanwang LiangDepartment of Thyroid and Breast Surgery, Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, China.
Yunbo LuoDepartment of Thyroid and Breast Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 8th edition of the American Joint Committee on Cancer (AJCC) clinical staging-including both anatomical and prognostic staging-serves as a valuable tool for predicting the prognosis of N3 locally advanced breast cancer (LABC). This study aims to apply these criteria to analyze changes in staging and evaluate differences in survival outcomes. Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) database were used for patients with newly diagnosed N3 LABC and complete follow-up from 2010 to 2015. Patients were categorized into N3a, N3b, and N3c groups. Chi-squared tests compared differences, while univariate and multivariate Cox analyses assessed breast cancer-specific survival (BCSS) and overall survival (OS). Kaplan-Meier curves and the log-rank test were used to analyze prognostic factors. Propensity score matching (PSM) was applied to reduce baseline differences and enable further comparative validation. Results: Before PSM, a total of 5,096 patients were included in this study. Among these patients were classified 4,080 as N3a, 655 as N3b, and 361 as N3c. Significant differences were observed among the three groups in terms of histological grade, tumour stage, estrogen receptor (ER) status, progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2) status (all P<0.001). In Kaplan-Meier survival analysis stratified by anatomical staging, the N3b group had the most favourable prognosis, followed by the N3a and N3c groups (OS, P<0.001; BCSS, P<0.001). In prognostic staging, the N3b group had the most favourable prognosis, followed by N3a and N3c groups, for stages IIIb and IIIc (OS, P<0.005; BCSS, P<0.005). Multivariate Cox regression analysis identified that N-stage were significantly associated with prognosis (P<0.05). After PSM, 200 N3a patients, 118 N3b patients, and 287 N3c patients were included in this study. After PSM, Significant differences were observed among the three groups in terms of histological grade (P=0.04), tumor stage (P<0.001), ER status (P<0.001), and PR status (P<0.001). In Kaplan-Meier analysis stratified by anatomical staging, the N3b group had the best prognosis, followed by the N3a and N3c groups (OS, P=0.02; BCSS, P=0.07). In prognostic staging, for stage IIIb prognostic staging, the N3b group again exhibited the most favourable prognosis, followed by the N3a and N3c groups (OS, P=0.03; BCSS, P=0.12). Multivariate Cox regression analysis revealed that the survival risk in the N3b group is slightly lower than that in the N3a group. Conclusions: In the anatomical and prognostic staging of N3 LABC, the N3b subgroup demonstrates the most promising prognosis. The 8th edition of the AJCC prognostic staging system offers a more detailed framework for assessing prognosis and guiding the diagnosis and treatment of N3 LABC.

Indexed as

Breast cancern3prognosisstageSurveillance, Epidemiology, and End Results database (SEER database)

Identifiers

PMID40115858
PMCPMC11921349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.