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Published in: Breast Cancer Research and Treatment 1/2017

01-07-2017 | Brief Report

Assessment of the prognostic and discriminating value of the novel bioscore system for breast cancer; a SEER database analysis

Author: Omar Abdel-Rahman

Published in: Breast Cancer Research and Treatment | Issue 1/2017

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Abstract

Background

An updated bioscore has been proposed within the context of the 8th edition American Joint Committee on Cancer (AJCC) staging system for breast cancer. This study seeks to validate the discriminating value of this bioscore among non-metastatic breast cancer patients registered within the surveillance, epidemiology, and end results (SEER) database.

Methods

Through SEER*Stat program, SEER database (2010–2013) was accessed and bioscore was formulated for each patient. Overall and cancer-specific survival analyses according to both bioscore and AJCC pathological stages were conducted through Kaplan–Meier analysis/log-rank testing, and multivariate analysis was conducted through a Cox proportional model.

Results

A total of 181030 patients with non-metastatic, surgically treated breast cancer were identified in the period from 2010 to 2013. For overall and cancer-specific survival assessment according to the bioscore system, P values for pairwise comparisons among different score points were significant (P < 0.0001) except for the comparison between score 0 and score 1. For cancer-specific survival assessment according to the AJCC stages, P values for pairwise comparisons among different stages were significant (P < 0.0001) except for the comparison between stages IIIB and IIIC. For overall survival assessment according to the AJCC stages, P values for pairwise comparisons among different stages were significant (P < 0.001) except for the comparison between stages IA and IB. In a multivariate analysis, the following factors were associated with better cancer-specific survival (earlier stage disease, ER positivity, PR positivity, Her2 neu positivity, and nuclear grade) (P < 0.0001).

Conclusion

The current analysis confirms the prognostic utility of the bioscore system and suggests it may be incorporated into decision-making algorithms for non-metastatic breast cancer.
Literature
2.
go back to reference Abdoli G, Bottai M, Sandelin K, Moradi T (2017) Breast cancer diagnosis and mortality by tumor stage and migration background in a nationwide cohort study in Sweden. Breast (Edinburgh, Scotland) 31:57–65CrossRef Abdoli G, Bottai M, Sandelin K, Moradi T (2017) Breast cancer diagnosis and mortality by tumor stage and migration background in a nationwide cohort study in Sweden. Breast (Edinburgh, Scotland) 31:57–65CrossRef
3.
go back to reference Jackisch C, Lammers P, Jacobs I (2017) Evolving landscape of human epidermal growth factor receptor 2-positive breast cancer treatment and the future of biosimilars. Breast (Edinburgh, Scotland) 32:199–216CrossRef Jackisch C, Lammers P, Jacobs I (2017) Evolving landscape of human epidermal growth factor receptor 2-positive breast cancer treatment and the future of biosimilars. Breast (Edinburgh, Scotland) 32:199–216CrossRef
4.
go back to reference Amin MB, Greene FL, Greene FL, Edge SB, Edge SB, Compton CC, Gershenwald JE, Brookland RK et al (2017) The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging. CA Cancer J Clin 67(2):93–99CrossRefPubMed Amin MB, Greene FL, Greene FL, Edge SB, Edge SB, Compton CC, Gershenwald JE, Brookland RK et al (2017) The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging. CA Cancer J Clin 67(2):93–99CrossRefPubMed
5.
go back to reference Bagaria SP, Ray PS, Sim MS, Ye X, Shamonki JM, Cui X et al (2014) Personalizing breast cancer staging by the inclusion of ER, PR, and HER2. JAMA surgery 149(2):125–129CrossRefPubMed Bagaria SP, Ray PS, Sim MS, Ye X, Shamonki JM, Cui X et al (2014) Personalizing breast cancer staging by the inclusion of ER, PR, and HER2. JAMA surgery 149(2):125–129CrossRefPubMed
6.
go back to reference Yi M, Mittendorf EA, Cormier JN, Buchholz TA, Bilimoria K, Sahin AA et al (2011) Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system. J Clin Oncol 29(35):4654–4661CrossRefPubMedPubMedCentral Yi M, Mittendorf EA, Cormier JN, Buchholz TA, Bilimoria K, Sahin AA et al (2011) Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system. J Clin Oncol 29(35):4654–4661CrossRefPubMedPubMedCentral
7.
go back to reference Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ, et al (2017) Breast cancer—major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin. doi:10.3322/caac.21393 Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ, et al (2017) Breast cancer—major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin. doi:10.​3322/​caac.​21393
9.
go back to reference Mittendorf EA, Vila J, Tucker SL, Chavez-MacGregor M, Smith BD, Symmans WF et al (2016) The neo-bioscore update for staging breast cancer treated with neoadjuvant chemotherapy: incorporation of prognostic biologic factors into staging after treatment. JAMA Oncol. 2(7):929–936CrossRefPubMed Mittendorf EA, Vila J, Tucker SL, Chavez-MacGregor M, Smith BD, Symmans WF et al (2016) The neo-bioscore update for staging breast cancer treated with neoadjuvant chemotherapy: incorporation of prognostic biologic factors into staging after treatment. JAMA Oncol. 2(7):929–936CrossRefPubMed
10.
go back to reference Marme F, Lederer B, Blohmer JU, Costa SD, Denkert C, Eidtmann H et al (2016) Utility of the CPS + EG staging system in hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer treated with neoadjuvant chemotherapy. Eur J Cancer 53:65–74CrossRefPubMed Marme F, Lederer B, Blohmer JU, Costa SD, Denkert C, Eidtmann H et al (2016) Utility of the CPS + EG staging system in hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer treated with neoadjuvant chemotherapy. Eur J Cancer 53:65–74CrossRefPubMed
11.
go back to reference Vila J, Teshome M, Tucker SL, Woodward WA, Chavez-MacGregor M, Hunt KK et al (2017) Combining clinical and pathologic staging variables has prognostic value in predicting local-regional recurrence following neoadjuvant chemotherapy for breast cancer. Ann Surg 265(3):574–580CrossRefPubMed Vila J, Teshome M, Tucker SL, Woodward WA, Chavez-MacGregor M, Hunt KK et al (2017) Combining clinical and pathologic staging variables has prognostic value in predicting local-regional recurrence following neoadjuvant chemotherapy for breast cancer. Ann Surg 265(3):574–580CrossRefPubMed
12.
go back to reference Mittendorf EA, Jeruss JS, Tucker SL, Kolli A, Newman LA, Gonzalez-Angulo AM et al (2011) Validation of a novel staging system for disease-specific survival in patients with breast cancer treated with neoadjuvant chemotherapy. J Clin Oncol 29(15):1956–1962CrossRefPubMedPubMedCentral Mittendorf EA, Jeruss JS, Tucker SL, Kolli A, Newman LA, Gonzalez-Angulo AM et al (2011) Validation of a novel staging system for disease-specific survival in patients with breast cancer treated with neoadjuvant chemotherapy. J Clin Oncol 29(15):1956–1962CrossRefPubMedPubMedCentral
13.
go back to reference Eggemann H, Ignatov T, Burger E, Kantelhardt EJ, Fettke F, Thomssen C et al (2015) Moderate HER2 expression as a prognostic factor in hormone receptor positive breast cancer. Endocr Relat Cancer 22(5):725–733CrossRefPubMed Eggemann H, Ignatov T, Burger E, Kantelhardt EJ, Fettke F, Thomssen C et al (2015) Moderate HER2 expression as a prognostic factor in hormone receptor positive breast cancer. Endocr Relat Cancer 22(5):725–733CrossRefPubMed
14.
go back to reference Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 98(19):10869–10874CrossRefPubMedPubMedCentral Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 98(19):10869–10874CrossRefPubMedPubMedCentral
15.
go back to reference Sparano JA, Gray RJ, Makower DF, Pritchard KI, Albain KS, Hayes DF et al (2015) Prospective validation of a 21-gene expression assay in breast cancer. N Engl J Med 373(21):2005–2014CrossRefPubMedPubMedCentral Sparano JA, Gray RJ, Makower DF, Pritchard KI, Albain KS, Hayes DF et al (2015) Prospective validation of a 21-gene expression assay in breast cancer. N Engl J Med 373(21):2005–2014CrossRefPubMedPubMedCentral
16.
go back to reference Gluz O, Nitz UA, Christgen M, Kates RE, Shak S, Clemens M et al (2016) West german study group phase III PlanB trial: first prospective outcome data for the 21-gene recurrence score assay and concordance of prognostic markers by central and local pathology assessment. J Clin Oncol 34(20):2341–2349CrossRefPubMed Gluz O, Nitz UA, Christgen M, Kates RE, Shak S, Clemens M et al (2016) West german study group phase III PlanB trial: first prospective outcome data for the 21-gene recurrence score assay and concordance of prognostic markers by central and local pathology assessment. J Clin Oncol 34(20):2341–2349CrossRefPubMed
Metadata
Title
Assessment of the prognostic and discriminating value of the novel bioscore system for breast cancer; a SEER database analysis
Author
Omar Abdel-Rahman
Publication date
01-07-2017
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2017
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-017-4244-2

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