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Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer.

ABSTRACT: Outcomes for metastatic colorectal cancer (mCRC) patients have been improved by treatment with anti-epidermal growth factor receptor (anti-EGFR) antibodies, particularly when combined with predictive biomarkers to select patients lacking RAS mutations. New technologies such as liquid biopsy and next-generation sequencing have revealed that potential mechanisms of resistance to anti-EGFR therapies act through acquired mutations of KRAS and the EGFR ectodomain. Mutations in cross-talking molecular effectors that participate in downstream EGFR signaling are also negative predictors for anti-EGFR therapy. In the current review, we describe recent advances in anti-EGFR therapy and discuss new treatment strategies to target downstream RAS-MAPK signaling in mCRC.

SUBMITTER: Miyamoto Y

PROVIDER: S-EPMC5412337 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer.

Miyamoto Yuji Y Suyama Koichi K Baba Hideo H

International journal of molecular sciences 20170402 4

Outcomes for metastatic colorectal cancer (mCRC) patients have been improved by treatment with anti-epidermal growth factor receptor (anti-EGFR) antibodies, particularly when combined with predictive biomarkers to select patients lacking RAS mutations. New technologies such as liquid biopsy and next-generation sequencing have revealed that potential mechanisms of resistance to anti-EGFR therapies act through acquired mutations of KRAS and the EGFR ectodomain. Mutations in cr ...[more]

PMID: 28368335

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Project description:BACKGROUND:The authors sought to forecast survival and enhance treatment decisions for patients with liver metastatic colorectal cancer by using on-treatment radiomics signature to predict tumor sensitiveness to irinotecan, 5-fluorouracil, and leucovorin (FOLFIRI) alone (F) or in combination with cetuximab (FC). METHODS:We retrospectively analyzed 667 metastatic colorectal cancer patients treated with F or FC. Computed tomography quality was classified as high (HQ) or standard (SD). Four datasets were created using the nomenclature (treatment) - (quality). Patients were randomly assigned (2:1) to training or validation sets: FCHQ: 78:38, FCSD: 124:62, FHQ: 78:51, FSD: 158:78. Four tumor-imaging biomarkers measured quantitative radiomics changes between standard of care computed tomography scans at baseline and 8?weeks. Using machine learning, the performance of the signature to classify tumors as treatment sensitive or treatment insensitive was trained and validated using receiver operating characteristic (ROC) curves. Hazard ratio and Cox regression models evaluated association with overall survival (OS). RESULTS:The signature (area under the ROC curve [95% confidence interval (CI)]) used temporal decrease in tumor spatial heterogeneity plus boundary infiltration to successfully predict sensitivity to antiepidermal growth factor receptor therapy (FCHQ: 0.80 [95% CI = 0.69 to 0.94], FCSD: 0.72 [95% CI = 0.59 to 0.83]) but failed with chemotherapy (FHQ: 0.59 [95% CI = 0.44 to 0.72], FSD: 0.55 [95% CI = 0.43 to 0.66]). In cetuximab-containing sets, radiomics signature outperformed existing biomarkers (KRAS-mutational status, and tumor shrinkage by RECIST 1.1) for detection of treatment sensitivity and was strongly associated with OS (two-sided P?<?.005). CONCLUSIONS:Radiomics response signature can serve as an intermediate surrogate marker of OS. The signature outperformed known biomarkers in providing an early prediction of treatment sensitivity and could be used to guide cetuximab treatment continuation decisions.

Dataset Information

Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer.

Publications

Recent Advances in Targeting the EGFR Signaling Pathway for the Treatment of Metastatic Colorectal Cancer.

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