A specific microRNA profile as predictive biomarker for systemic treatment in patients with metastatic colorectal cancer

D Poel, EC Gootjes, L Bakkerus, W Trypsteen… - Cancer …, 2020 - Wiley Online Library
D Poel, EC Gootjes, L Bakkerus, W Trypsteen, H Dekker, HJ van der Vliet, NCT van Grieken…
Cancer medicine, 2020Wiley Online Library
Background Palliative systemic therapy is currently standard of care for patients with
extensive metastatic colorectal cancer (mCRC). A biomarker predicting chemotherapy
benefit which prevents toxicity from ineffective treatment is urgently needed. Therefore, a
previously developed tissue‐derived microRNA profile to predict clinical benefit from
chemotherapy was evaluated in tissue biopsies and serum from patients with mCRC.
Methods Samples were prospectively collected from patients (N= 132) who were treated …
Background
Palliative systemic therapy is currently standard of care for patients with extensive metastatic colorectal cancer (mCRC). A biomarker predicting chemotherapy benefit which prevents toxicity from ineffective treatment is urgently needed. Therefore, a previously developed tissue‐derived microRNA profile to predict clinical benefit from chemotherapy was evaluated in tissue biopsies and serum from patients with mCRC.
Methods
Samples were prospectively collected from patients (N = 132) who were treated with capecitabine or 5‐FU/LV with oxaliplatin ± bevacizumab. Response evaluation was performed according to RECIST 1.1 after three or four cycles, respectively. Baseline tissue and serum miRNAs expression levels of miR‐17‐5p, miR‐20a‐5p, miR‐30a‐5p, miR‐92a‐3p, miR‐92b‐3p, and miR‐98‐5p were quantified with RT‐qPCR and droplet digital PCR, respectively. Combined predictive performance of selected variables was tested using logistic regression analysis.
Results
From 132 patients, 81 fresh frozen tissue biopsies from metastases and 93 serum samples were available. Based on expression levels of miRNAs in tissue, progressive disease could be predicted with an AUC of 0.85 (95% CI:0.72‐0.91) and response could be predicted with an AUC of 0.70 (95% CI:0.56‐0.80). This did not outperform clinical parameters alone (respectively P = .14 and P = .27). Expression levels of miR‐92a‐3p and miR‐98‐5p in serum significantly improved the predictive value of clinical parameters for response to chemotherapy (AUC 0.74, 95% CI:0.64‐0.84, P = .003) in this cohort.
Conclusions
The additive predictive value to clinical parameters of the tissue‐derived six miRNA profile for clinical benefit could not be validated in patients with mCRC treated with first‐line systemic therapy. Although miR‐92a‐3p and miR‐98‐5p serum levels improved the predictive value of clinical parameters, it remained insufficient for clinical decision‐making.
Wiley Online Library
以上显示的是最相近的搜索结果。 查看全部搜索结果