Latest week ending November 15, 2025
Automated Biomarkers Boost mCRC Survival, Cut Costs and Imaging Burden
Key Takeaways
- Ultrasensitive circulating tumor DNA (ctDNA) detection below 80 parts per million, both pre- and postoperatively, is highly prognostic in non-small cell lung cancer (NSCLC), improving disease stratification and informing adjuvant therapy decisions by identifying patients who "clear" ctDNA and experience improved outcomes.
- Immunotherapy, either as first-line or subsequent-line treatment, significantly prolongs overall survival in extensive-stage small-cell lung cancer (ES-SCLC), with local thoracic radiotherapy maintaining its significant survival benefit in this setting.
- In HER2-positive breast cancer, dynamic immunophenotyping using spatial expression profiling can predict pathologic complete response (pCR) to neoadjuvant chemotherapy combined with trastuzumab, offering a basis for subsequent treatment selection.
Ultrasensitive circulating tumor DNA (ctDNA) detection below 80 parts per million, both pre- and postoperatively, is highly prognostic in non-small cell lung cancer (NSCLC), improving disease stratification and informing adjuvant therapy decisions by identifying patients who "clear" ctDNA and experience improved outcomes . Liquid biopsy, including ctDNA, also serves as a minimally invasive tool to rapidly detect resistance mechanisms to targeted therapies in NSCLC, complementing or replacing tissue re-biopsy and dynamically profiling tumors . While guideline-concordant biomarker testing for common alterations like EGFR and ALK is high in NSCLC, testing rates for rarer biomarkers with newly approved therapies still lag, highlighting a need for faster adoption of novel biomarker testing .
Immunotherapy, either as first-line or subsequent-line treatment, significantly prolongs overall survival in extensive-stage small-cell lung cancer (ES-SCLC), with local thoracic radiotherapy maintaining its significant survival benefit in this setting . For advanced EGFR-mutant NSCLC, concurrent thoracic radiotherapy (TRT) with first-line EGFR-tyrosine kinase inhibitors (TKIs) remarkably extends median progression-free survival across various TKI generations and patient subgroups, including those with brain metastases, while also reducing primary and distant progression risks with favorable safety .
In HER2-positive breast cancer, dynamic immunophenotyping using spatial expression profiling can predict pathologic complete response (pCR) to neoadjuvant chemotherapy combined with trastuzumab, offering a basis for subsequent treatment selection . For early-stage hormone receptor-positive (HR+), HER2-negative breast cancer, the addition of CDK4/6 inhibitors to endocrine therapy improves invasive disease-free survival, with a strong trend toward improved distant recurrence-free survival, although overall survival benefits require longer follow-up . Adjuvant chemotherapy for locoregional recurrence of HR-positive HER2-negative breast cancer is associated with better invasive disease-free survival, particularly for non-ipsilateral breast tumor recurrence and recurrences during adjuvant endocrine therapy without prior perioperative chemotherapy .
Whole genome sequencing (WGS) in metastatic colorectal cancer (mCRC) identifies significantly more clinically actionable biomarkers than standard diagnostics, increasing the proportion of patients eligible for personalized therapeutic interventions . Automated circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) counts demonstrate a strong association with survival in mCRC, with simulations suggesting that optimizing treatment timing for high-risk patients based on these biomarkers could significantly improve median survival outcomes while also reducing costs and environmental burden compared to routine imaging . Single-cell RNA sequencing further reveals distinct prognostic markers and tumor microenvironment features underlying chemotherapy progression in colorectal cancer, including specific immune cell signatures and chemo-protective markers, which can provide insights into resistance mechanisms and guide future strategies for improved patient outcomes .
Advanced methodologies like TMBclaw, a tumor clone-aware graph learning framework, improve immunotherapy response prediction by accounting for intratumoral clonal heterogeneity and enabling cross-cohort knowledge transfer . Additionally, multicellular immune ecotypes within solid tumors show promise as prognostic and predictive biomarkers for real-world therapeutic benefits from immune checkpoint inhibitors (ICIs) across various cancer types . While ICI monotherapy may have limited efficacy in challenging cancers like pancreatic ductal adenocarcinoma (PDAC), combination therapy with ICIs and a CD40 agonistic antibody has shown to significantly extend survival and reduce tumor burden in preclinical models . Although subsequent ICI therapies after initial failure can show responses in some cancers, particularly melanoma, the overall evidence supporting their efficacy across various tumor types remains low, highlighting a need for further research .