Prognostic value of radiologic and pathological response in colorectal cancer liver metastases upon systemic induction treatment: subgroup analysis of the CAIRO5 trial.

Background: RECIST may not be optimal for assessing treatment response with current systemic regimens. We evaluated RECIST, morphologic, and pathologically documented response (pathological response) in patients with initially unresectable colorectal cancer liver-only metastases (CRLM).

Patients And Methods: Four hundred and eighty-nine patients from the phase III CAIRO5 trial were included who were treated with FOLFOX/FOLFIRI/FOLFOXIRI and bevacizumab or panitumumab.

Pembrolizumab Versus chemotherapy in microsatellite instability-high or mismatch repair-deficient metastatic colorectal cancer: 5-year follow-up from the randomized phase 3 KEYNOTE-177 study.

Background: Results from the phase 3 KEYNOTE-177 study established pembrolizumab as a new first-line standard of care for microsatellite instability-high or mismatch repair-deficient (MSI-H/dMMR) metastatic colorectal cancer (mCRC). Previous results from KEYNOTE-177 showed a statistically significant and clinically meaningful improvement in progression-free survival (PFS) with pembrolizumab versus chemotherapy ± bevacizumab/cetuximab in MSI-H/dMMR mCRC. Results after >5 years of follow-up are reported.

Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA).

Objectives: Total tumor volume (TTV) is associated with overall and recurrence-free survival in patients with colorectal cancer liver metastases (CRLM). However, the labor-intensive nature of such manual assessments has hampered the clinical adoption of TTV as an imaging biomarker. This study aimed to develop and externally evaluate a CRLM auto-segmentation model on CT scans, to facilitate the clinical adoption of TTV.

Cancer treatment monitoring using cell-free DNA fragmentomes.

Circulating cell-free DNA (cfDNA) assays for monitoring individuals with cancer typically rely on prior identification of tumor-specific mutations. Here, we develop a tumor-independent and mutation-independent approach (DELFI-tumor fraction, DELFI-TF) using low-coverage whole genome sequencing to determine the cfDNA tumor fraction and validate the method in two independent cohorts of patients with colorectal or lung cancer. DELFI-TF scores strongly correlate with circulating tumor DNA levels (ctDNA) (r = 0.