Modulatory effect of neoadjuvant chemotherapy on biomarkers expression; Assessment by digital image analysis and relationship to residual cancer burden in patients with invasive breast cancer

Amber Cockburn, Jingsheng Yan, Dewi Rahardja, David Euhus, Yan Peng, Yisheng Fang, Venetia Rumnong Sarode

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The use of digital imaging techniques for biomarker assessment has gained recognition as a valid tool for clinical use. In this study, we used image analysis for evaluation of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2), Ki-67 index, and p53 in 172 patients with invasive breast cancer treated with neoadjuvant chemotherapy and compared it with an untreated group (100 cases). We also examined the relationship between biomarker expression and the extent of residual disease using the Web-based MD Anderson residual cancer burden (RCB) calculator. Residual disease was classified as RCB 0/I, II, and III corresponding to complete/near-complete response, moderate, and extensive residual disease, respectively. Overall change in ER, PR, and HER2 status in the treated group was seen in 9.02% (P =.0148), 18.4% (P =.011), and 12.0% (P =.0042), respectively. Change in HER2 status, positive to negative and negative to positive, occurred in 27.2% and 7.0%, respectively. The group with RCB 0/I was frequently younger (P =.0057) and showed higher ER(-) status (P =.0316), lower ER scores (P =.0103), higher Ki-67 index (P =.0008), and p53 (P =.0055) compared with those with RCB II and III. Pathologic tumor stage (P =.0072), lumpectomy versus mastectomy (P =.0048), and p53 expression (P =.0190) were independent predictors of recurrence-free survival. The RCB categories (P =.0003) and tumor grade (P =.0049) were independent predictors of overall survival. This is the first study to conduct a comprehensive analysis of biomarkers in neoadjuvant chemotherapy-treated patients versus an untreated group using the digital image analysis method. We have demonstrated for the first time the relationship between RCB, tumor biomarkers expression, and clinical outcome.

Original languageEnglish (US)
Pages (from-to)249-258
Number of pages10
JournalHuman Pathology
Volume45
Issue number2
DOIs
StatePublished - Feb 2014

Fingerprint

Residual Neoplasm
Biomarkers
Breast Neoplasms
Drug Therapy
Estrogen Receptors
Progesterone Receptors
Survival
Segmental Mastectomy
Mastectomy
Tumor Biomarkers
Epidermal Growth Factor Receptor
Neoplasms
Recurrence

Keywords

  • Breast biomarkers
  • Neoadjuvant chemotherapy
  • Residual cancer burden

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

Cite this

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title = "Modulatory effect of neoadjuvant chemotherapy on biomarkers expression; Assessment by digital image analysis and relationship to residual cancer burden in patients with invasive breast cancer",
abstract = "The use of digital imaging techniques for biomarker assessment has gained recognition as a valid tool for clinical use. In this study, we used image analysis for evaluation of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2), Ki-67 index, and p53 in 172 patients with invasive breast cancer treated with neoadjuvant chemotherapy and compared it with an untreated group (100 cases). We also examined the relationship between biomarker expression and the extent of residual disease using the Web-based MD Anderson residual cancer burden (RCB) calculator. Residual disease was classified as RCB 0/I, II, and III corresponding to complete/near-complete response, moderate, and extensive residual disease, respectively. Overall change in ER, PR, and HER2 status in the treated group was seen in 9.02{\%} (P =.0148), 18.4{\%} (P =.011), and 12.0{\%} (P =.0042), respectively. Change in HER2 status, positive to negative and negative to positive, occurred in 27.2{\%} and 7.0{\%}, respectively. The group with RCB 0/I was frequently younger (P =.0057) and showed higher ER(-) status (P =.0316), lower ER scores (P =.0103), higher Ki-67 index (P =.0008), and p53 (P =.0055) compared with those with RCB II and III. Pathologic tumor stage (P =.0072), lumpectomy versus mastectomy (P =.0048), and p53 expression (P =.0190) were independent predictors of recurrence-free survival. The RCB categories (P =.0003) and tumor grade (P =.0049) were independent predictors of overall survival. This is the first study to conduct a comprehensive analysis of biomarkers in neoadjuvant chemotherapy-treated patients versus an untreated group using the digital image analysis method. We have demonstrated for the first time the relationship between RCB, tumor biomarkers expression, and clinical outcome.",
keywords = "Breast biomarkers, Neoadjuvant chemotherapy, Residual cancer burden",
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T1 - Modulatory effect of neoadjuvant chemotherapy on biomarkers expression; Assessment by digital image analysis and relationship to residual cancer burden in patients with invasive breast cancer

AU - Cockburn, Amber

AU - Yan, Jingsheng

AU - Rahardja, Dewi

AU - Euhus, David

AU - Peng, Yan

AU - Fang, Yisheng

AU - Rumnong Sarode, Venetia

PY - 2014/2

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N2 - The use of digital imaging techniques for biomarker assessment has gained recognition as a valid tool for clinical use. In this study, we used image analysis for evaluation of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2), Ki-67 index, and p53 in 172 patients with invasive breast cancer treated with neoadjuvant chemotherapy and compared it with an untreated group (100 cases). We also examined the relationship between biomarker expression and the extent of residual disease using the Web-based MD Anderson residual cancer burden (RCB) calculator. Residual disease was classified as RCB 0/I, II, and III corresponding to complete/near-complete response, moderate, and extensive residual disease, respectively. Overall change in ER, PR, and HER2 status in the treated group was seen in 9.02% (P =.0148), 18.4% (P =.011), and 12.0% (P =.0042), respectively. Change in HER2 status, positive to negative and negative to positive, occurred in 27.2% and 7.0%, respectively. The group with RCB 0/I was frequently younger (P =.0057) and showed higher ER(-) status (P =.0316), lower ER scores (P =.0103), higher Ki-67 index (P =.0008), and p53 (P =.0055) compared with those with RCB II and III. Pathologic tumor stage (P =.0072), lumpectomy versus mastectomy (P =.0048), and p53 expression (P =.0190) were independent predictors of recurrence-free survival. The RCB categories (P =.0003) and tumor grade (P =.0049) were independent predictors of overall survival. This is the first study to conduct a comprehensive analysis of biomarkers in neoadjuvant chemotherapy-treated patients versus an untreated group using the digital image analysis method. We have demonstrated for the first time the relationship between RCB, tumor biomarkers expression, and clinical outcome.

AB - The use of digital imaging techniques for biomarker assessment has gained recognition as a valid tool for clinical use. In this study, we used image analysis for evaluation of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor (HER2), Ki-67 index, and p53 in 172 patients with invasive breast cancer treated with neoadjuvant chemotherapy and compared it with an untreated group (100 cases). We also examined the relationship between biomarker expression and the extent of residual disease using the Web-based MD Anderson residual cancer burden (RCB) calculator. Residual disease was classified as RCB 0/I, II, and III corresponding to complete/near-complete response, moderate, and extensive residual disease, respectively. Overall change in ER, PR, and HER2 status in the treated group was seen in 9.02% (P =.0148), 18.4% (P =.011), and 12.0% (P =.0042), respectively. Change in HER2 status, positive to negative and negative to positive, occurred in 27.2% and 7.0%, respectively. The group with RCB 0/I was frequently younger (P =.0057) and showed higher ER(-) status (P =.0316), lower ER scores (P =.0103), higher Ki-67 index (P =.0008), and p53 (P =.0055) compared with those with RCB II and III. Pathologic tumor stage (P =.0072), lumpectomy versus mastectomy (P =.0048), and p53 expression (P =.0190) were independent predictors of recurrence-free survival. The RCB categories (P =.0003) and tumor grade (P =.0049) were independent predictors of overall survival. This is the first study to conduct a comprehensive analysis of biomarkers in neoadjuvant chemotherapy-treated patients versus an untreated group using the digital image analysis method. We have demonstrated for the first time the relationship between RCB, tumor biomarkers expression, and clinical outcome.

KW - Breast biomarkers

KW - Neoadjuvant chemotherapy

KW - Residual cancer burden

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