Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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The expression profile of cytochromes P450 (CYPs) and aldo-keto reductases (AKRs) in post-treatment breast carcinomas

ABSTRACT: Metabolism of anticancer drugs markedly affects their antitumor effects. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing taxanes and/or anthracyclines with therapy response and survival of breast carcinoma patients AKR1A1 was significantly overexpressed and AKR1C1-4, KCNAB1, CYP2C19, CYP3A4, and CYP3A5 downregulated in tumors compared with control non-neoplastic tissues after correction for multiple testing. Significant associations of CYP2B6 levels in tumors with expression of hormonal receptors were found. Significantly higher intratumoral levels of AKR1C1, AKR1C2, and CYP2W1 were found in responders to NACT compared with non-responders. Patients with high AKR1C2 and CYP3A4 levels had significantly longer disease-free survival than patients with low levels. Transcript levels of twenty-four selected human metabolic genes (CYPs and AKRs) were determined by qPCR in post-treatment tumor and non-neoplastic tissue samples from 68 breast carcinoma patients treated by anthracycline and/or taxane based neoadjuvant chemotherapy. EIF2B1, MRPL19, IPO8, and UBB were used as reference genes for data normalization.

ORGANISM(S): Homo sapiens

SUBMITTER: Pavel Soucek

PROVIDER: E-GEOD-56259 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Importance: Neoadjuvant chemoradiotherapy (CRT) is the standard of care for advanced rectal cancer. Yet, predicting response to CRT remains an unmet clinical challenge. Objective: To investigate the transcriptomic determinants to predict response to neoadjuvant CRT and survival in patients with advanced rectal cancer. Design: A single-center, retrospective, cohort study. Setting: A comprehensive cancer center. Participants: Pre-treatment biopsies from 298 patients with rectal cancer, who were later treated with neoadjuvant CRT between 2004 and 2020, were analyzed by RNA sequencing. Main measures and outcomes: Transcriptional subtyping was performed by consensus molecular subtype (CMS) classification. Immune cell infiltration was assessed using MCP-counter scores and single-sample gene set enrichment analysis (ssGSEA). Patients with surgical specimens of tumor regression grade (TRG) 3-4 or who were managed by the watch-and-wait approach for more than 3 years were defined as good responders. Results: Patients classified as CMS1 (6.4%) had a significantly higher rate of good responders; albeit survival was comparable among the four subtypes. Good responders exhibited an enrichment in various immune-related pathways (IFNg and a responses, allograft rejection, IL6 STAT3 signaling during acute phase response, and inflammation), as determined by ssGSEA. MCP-counter scores for cytotoxic lymphocytes were significantly higher for good responders than non-responders (p = 0.0003), and significantly higher for responders than non-responders in GSE109057 (p = 0.0137), GSE87211 (p = 0.0092), and GSE45404 (p = 0.0327) datasets. Cytotoxic lymphocyte MCP-counter score was thus considered an independent predictor of response to CRT, as determined in the multivariable Cox analysis (OR 3.810 [95% CI 1.820-7.970]; p = 0.0004). Multivariable Cox analysis, including post-operative pathological factors, revealed cytotoxic lymphocyte MCP-counter score to be independently associated with recurrence-free survival (HR 0.382 [95% CI 0.158-0.923]; p = 0.0325) and overall survival (HR 0.157 [95% CI 0.030-0.827]; p = 0.0290). ssGSEA showed significantly higher levels of four subpopulations of cytotoxic cells (effector memory CD8 T, natural killer T, natural killer, and activated CD8 T cells) among good responders than non-responders. Conclusions and Relevance: Cytotoxic lymphocyte score, as computed by RNA sequencing, could be a useful marker for predicting response to CRT and survival among patients with rectal cancer.

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The expression profile of cytochromes P450 (CYPs) and aldo-keto reductases (AKRs) in post-treatment breast carcinomas

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