Epidermal growth factor receptor antagonists in colorectal cancer: emerging strategies for precision therapy.

INTRODUCTION: The global prevalence of colorectal cancer highlights the need to enhance treatment strategies for improved patient outcomes. The pivotal role of epidermal growth factor receptor (EGFR) signaling in regulating cellular processes for this disease pinpoints its value as a therapeutic target, despite the emergence of resistance mechanisms over time. AREAS COVERED: This review discusses the clinical evidence supporting the use of EGFR inhibitors in molecularly-selected patients based on molecular characteristics (notably BRAF V600E and KRAS G12C) including combination approaches targeting different points in in the signaling pathway, as well as strategies such as EGFR inhibitor rechallenge. The role of HER2 inhibitors and emerging approaches such as bispecific antibodies are also reviewed. EXPERT OPINION: Recently, inhibitors targeting the KRAS G12C variant have emerged, albeit with modest monotherapy activity compared to other tumor types, emphasizing the influence of histologic origins on the EGFR signaling pathway. Integration of EGFR inhibitors into precision medicine has facilitated tailored therapies addressing resistance mechanisms. Patient selection for EGFR inhibitor rechallenge guided by ctDNA findings is crucial, with ongoing investigations exploring novel combinations to enhance EGFR blockade, highlighting the transformative potential of precision medicine in shaping the future of mCRC treatment toward personalized and targeted approaches.

A pan-cancer clinical platform to predict immunotherapy outcomes and prioritize immuno-oncology combinations in early-phase trials.

BACKGROUND: Immunotherapy is effective, but current biomarkers for patient selection have proven modest sensitivity. Here, we developed VIGex, an optimized gene signature based on the expression level of 12 genes involved in immune response with RNA sequencing. METHODS: We implemented VIGex using the nCounter platform (Nanostring) on a large clinical cohort encompassing 909 tumor samples across 45 tumor types. VIGex was developed as a continuous variable, with cutoffs selected to detect three main categories (hot, intermediate-cold and cold) based on the different inflammatory status of the tumor microenvironment. FINDINGS: Hot tumors had the highest VIGex scores and exhibited an increased abundance of tumor-infiltrating lymphocytes as compared with the intermediate-cold and cold. VIGex scores varied depending on tumor origin and anatomic site of metastases, with liver metastases showing an immunosuppressive tumor microenvironment. The predictive power of VIGex-Hot was observed in a cohort of 98 refractory solid tumor from patients treated in early-phase immunotherapy trials and its clinical performance was confirmed through an extensive metanalysis across 13 clinically annotated gene expression datasets from 877 patients treated with immunotherapy agents. Last, we generated a pan-cancer biomarker platform that integrates VIGex categories with the expression levels of immunotherapy targets under development in early-phase clinical trials. CONCLUSIONS: Our results support the clinical utility of VIGex as a tool to aid clinicians for patient selection and personalized immunotherapy interventions. FUNDING: BBVA Foundation; 202-2021 Division of Medical Oncology and Hematology Fellowship award; Princess Margaret Cancer Center.

New Insights into Adjuvant Therapy for Localized Colon Cancer.

Currently, clinicopathologic characteristics of colon cancer tumors guide the selection of patients suitable for adjuvant therapy. Circulating tumor DNA (ctDNA) analysis after surgery has a strong correlation with prognosis, and positive ctDNA status defines a subset of patients with high risk of recurrence. Ongoing interventional adjuvant trials in colon cancer including ctDNA analyses will determine the predictive value of ctDNA in the adjuvant setting. For patients with stage III colon cancer, noninferiority of 3 months of adjuvant therapy compared with 6 months has not been demonstrated. However, for selected subgroups, the shorter duration of therapy may limit toxic effects without impairing clinical outcomes.

Prognostic value of ctDNA detection in patients with early breast cancer undergoing neoadjuvant therapy: A systematic review and meta-analysis.

Circulating tumor DNA (ctDNA) is increasingly being used as a biomarker in early breast cancer (EBC). We performed a systematic review and meta-analysis to investigate the prognostic value of ctDNA in patients with EBC treated with neoadjuvant therapy (NAT). We searched Medline, Web of Science and Embase for observational or interventional studies that included patients with EBC undergoing NAT, reported outcomes related to the predefined endpoints, and had full text articles available. Study selection followed the PRISMA guidelines and quality assessment the REMARK tool for biomarker studies. Primary endpoint was impact of ctDNA detection in different time points (baseline, on-treatment, and after NAT) on relapse-free survival (RFS) and overall survival (OS). Secondary endpoints included the association of ctDNA detection with pathologic complete response (pCR), and the positive and negative predictive value of ctDNA detection in predicting residual disease after NAT. From the 2908 studies initially identified, 11 met the eligibility criteria and were included in the meta-analysis. Detection of ctDNA, both at baseline and after completion of NAT, significantly associated to worse RFS (HR 4.22, 95% CI: 1.29-13.82 and HR 5.67, 95% CI: 2.73-11.75, respectively) and worse OS (HR 19.1, 95% CI: 6.9-53.04 and HR 4.00, 95% CI: 1.90-8.42, respectively). In contrast, detection of ctDNA did not associate with the probability of achieving a pCR. Our results suggest that ctDNA assessment during NAT for EBC merits further evaluation as a stratification risk factor in prospective trials, in order to better individualize patient's treatment.