Abstract 5P
Background
To determine the long-term prognostic role of hormone receptor subtype in breast cancer using the Surveillance, Epidemiology, and End Results (SEER) database.
Methods
Data of 810,587 female operable invasive breast cancer patients from SEER database with a mean follow-up period of 94.2 months (range, 0-311 months) were analyzed. Hormone receptor subtype was classified into four groups based on estrogen receptor (ER) and progesterone receptor (PR) statuses: ER(+)/PR(+), ER(+)/PR(-), ER(-)/PR(+), and ER(-)/PR(-).
Results
Numbers of subjects with ER(+)/PR(+), ER(+)/PR(-), ER(-)/PR(+), ER(-)/PR(-), and unknown were 496,279 (61.2%), 86,858 (10.7%), 11,545 (1.4%), 135,441 (16.7%), and 80,464 (9.9%), respectively. The ER(+)/PR(+) subtype showed the best breast cancer specific survival, followed by ER(+)/PR(-), ER(-)/PR(+), and ER(-)/PR(-) subtypes in order (all p < 0.001). Survival difference among hormone receptor subtypes was maintained in subgroup analysis according to anatomic stage, race, age group, and year of diagnosis. Hormone receptor subtype was a significant independent prognostic factor in multivariable analyses (p < 0.001). Hazard ratios of ER(+)/PR(-), ER(-)/PR(+), and ER(-)/PR(-) for breast cancer specific mortality risk were 1.419 (95% confidence interval [CI], 1.383-1.456), 1.630 (95% CI, 1.537-1.729), and 1.811 (95% CI, 1.773-1.848), respectively, with ER(+)/PR(+) as reference.
Conclusions
Hormone receptor subtype is a significant independent prognostic factor in female operable invasive breast cancer with long-term effect. The ER(+)/PR(+) subtype shows the most favorable prognosis, followed by ER(+)/PR(-), ER(-)/PR(+), and ER(-)/PR(-) subtypes in order. Prognostic impacts of hormone receptor subtypes are also maintained in subgroup analysis according to anatomic stage, race, age, and year of diagnosis.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The author.
Funding
Has not received any funding.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
75P - A parallel deep learning network framework for whole-body bone scan image analysis
Presenter: Xiaorong Pu
Session: Poster display session
Resources:
Abstract
76P - Perception and satisfaction of cancer patients in clinical trials
Presenter: Jukyung Jeon
Session: Poster display session
Resources:
Abstract
77P - A prognostic nomogram for the prediction of neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster display session
Resources:
Abstract
80P - The clinical usefulness of a new fat-dissociation method to detect lymph nodes from surgically resected specimen in colorectal cancer: Prospective randomized study
Presenter: Shiki Fujino
Session: Poster display session
Resources:
Abstract
81P - Concurrent or consolidation chemotherapy during radiation as neoadjuvant treatment for locally advanced rectal cancer: A propensity score analysis from two prospective study
Presenter: JianWei Zhang
Session: Poster display session
Resources:
Abstract
82P - Body mass index, tumour location, and colorectal cancer survival
Presenter: Dake Chu
Session: Poster display session
Resources:
Abstract
83P - Helicobacter bilis may play a role in the carcinogenesis of colitis associated colon cancer correlating to increased number of CD4+CD45RB+ T cells
Presenter: Xiangsheng Fu
Session: Poster display session
Resources:
Abstract
84P - Comprehensive evaluation of relapse risk (CERR) score for colorectal liver metastases development and validation
Presenter: Jianmin Xu
Session: Poster display session
Resources:
Abstract
85P - Which is the best partner for capecitabine-based neoadjuvant chemoradiotherapy in locally advanced rectal cancer? A retrospective analysis of a comprehensive cancer center
Presenter: Jingwen Wang
Session: Poster display session
Resources:
Abstract
87P - Negative to positive lymph node ratio-prognostic marker of survival in node positive rectal cancer
Presenter: Pavan Jonnada
Session: Poster display session
Resources:
Abstract