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Lactate dehydrogenase B: a metabolic marker of response to neoadjuvant chemotherapy in breast cancer.


ABSTRACT: Although breast cancers are known to be molecularly heterogeneous, their metabolic phenotype is less well-understood and may predict response to chemotherapy. This study aimed to evaluate metabolic genes as individual predictive biomarkers in breast cancer.mRNA microarray data from breast cancer cell lines were used to identify bimodal genes-those with highest potential for robust high/low classification in clinical assays. Metabolic function was evaluated in vitro for the highest scoring metabolic gene, lactate dehydrogenase B (LDHB). Its expression was associated with neoadjuvant chemotherapy response and relapse within clinical and PAM50-derived subtypes.LDHB was highly expressed in cell lines with glycolytic, basal-like phenotypes. Stable knockdown of LDHB in cell lines reduced glycolytic dependence, linking LDHB expression directly to metabolic function. Using patient datasets, LDHB was highly expressed in basal-like cancers and could predict basal-like subtype within clinical groups [OR = 21 for hormone receptor (HR)-positive/HER2-negative; OR = 10 for triple-negative]. Furthermore, high LDHB predicted pathologic complete response (pCR) to neoadjuvant chemotherapy for both HR-positive/HER2-negative (OR = 4.1, P < 0.001) and triple-negative (OR = 3.0, P = 0.003) cancers. For triple-negative tumors without pCR, high LDHB posttreatment also identified proliferative tumors with increased risk of recurrence (HR = 2.2, P = 0.006).Expression of LDHB predicted response to neoadjuvant chemotherapy within clinical subtypes independently of standard prognostic markers and PAM50 subtyping. These observations support prospective clinical evaluation of LDHB as a predictive marker of response for patients with breast cancer receiving neoadjuvant chemotherapy.

SUBMITTER: Dennison JB 

PROVIDER: S-EPMC3727144 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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Lactate dehydrogenase B: a metabolic marker of response to neoadjuvant chemotherapy in breast cancer.

Dennison Jennifer B JB   Molina Jennifer R JR   Mitra Shreya S   González-Angulo Ana M AM   Balko Justin M JM   Kuba María G MG   Sanders Melinda E ME   Pinto Joseph A JA   Gómez Henry L HL   Arteaga Carlos L CL   Brown Robert E RE   Mills Gordon B GB  

Clinical cancer research : an official journal of the American Association for Cancer Research 20130522 13


<h4>Purpose</h4>Although breast cancers are known to be molecularly heterogeneous, their metabolic phenotype is less well-understood and may predict response to chemotherapy. This study aimed to evaluate metabolic genes as individual predictive biomarkers in breast cancer.<h4>Experimental design</h4>mRNA microarray data from breast cancer cell lines were used to identify bimodal genes-those with highest potential for robust high/low classification in clinical assays. Metabolic function was evalu  ...[more]

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