| Title |
Postmastectomy radiotherapy benefit in Chinese breast cancer patients with T1–T2 tumor and 1–3 positive axillary lymph nodes by molecular subtypes: an analysis of 1369 cases
|
|---|---|
| Published in |
Tumor Biology, December 2015
|
| DOI | 10.1007/s13277-015-4546-0 |
| Pubmed ID | |
| Authors |
Honghong Shen, Lin Zhao, Li Wang, Xiaozhen Liu, Xia Liu, Junjun Liu, Fengting Niu, Shuhua Lv, Yun Niu |
| Abstract |
The aim of this study was to examine the association between molecular subtype (MST) and prognosis and research the postmastectomy radiotherapy (PMRT) effect in T1-T2 tumors with 1-3 positive axillary lymph nodes (ALNs). This retrospective study studied breast cancer patients with T1-T2 tumors and 1-3 positive ALNs according to MST: Luminal A, Luminal B, human epidermal growth factor receptor-2 (Her-2) positive, and Triple negative. The impact of adjuvant PMRT in T1-T2 tumors with 1-3 positive ALNs was also assessed. This study included 1369 patients: 33.0 % Luminal A, 42.9 % Luminal B, 11.9 % Her-2 positive, and 12.2 % Triple negative. On univariate and multivariate analyses, MST was associated with locoregional relapse (LRR). Kaplan-Meier analysis showed that PMRT significantly decreased LRR risk (p = 0.017) and distant metastasis (DM) risk (p < 0.0001). In subgroup analysis, PMRT showed significant benefits of improvement in LRR in patients with younger age, positive lymphovascular invasion (LVI), and ratio of positive lymph nodes (LNs) >25 %. Moreover, the nomogram could more accurately predict LRR (c-index 0.75) in T1-2N1 breast cancer patients. MST associated with patient outcomes in breast cancer patients with T1-T2 tumors and 1-3 positive ALN. It makes sense to offer PMRT for patients aged<40 years old, LVI, 2 and 3 positive lymph nodes, and ratio of positive LNs >25 %. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 16% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Lecturer | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 42% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Decision Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2015.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#327,987
of 390,762 outputs
Outputs of similar age from Tumor Biology
#192
of 323 outputs
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