Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Sequencing circulating tumor DNA (ctDNA) from liquid biopsies may better assess tumor heterogeneity than limited sampling of tumor tissue. Here, we explore ctDNA-based heterogeneity and its correlation with treatment outcome in STEAM, which assessed efficacy and safety of concurrent and sequential FOLFOXIRI-bevacizumab (BEV) vs. FOLFOX-BEV for first-line treatment of metastatic colorectal cancer. We sequenced 146 pre-induction and 89 post-induction patient plasmas with a 198-kilobase capture-based assay, and applied Mutant-Allele Tumor Heterogeneity (MATH), a traditionally tissue-based calculation of allele frequency distribution, on somatic mutations detected in plasma. Higher levels of MATH, particularly in the post-induction sample, were associated with shorter progression-free survival (PFS). Patients with high MATH vs. low MATH in post-induction plasma had shorter PFS (7.2 vs. 11.7 months; hazard ratio, 3.23; 95% confidence interval, 1.85−5.63; log-rank p < 0.0001). These results suggest ctDNA-based tumor heterogeneity may have potential prognostic value in metastatic cancers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105064PMC
http://dx.doi.org/10.3390/cancers14092240DOI Listing

Publication Analysis

Top Keywords

tumor heterogeneity
16
metastatic colorectal
8
colorectal cancer
8
math post-induction
8
tumor
6
heterogeneity
5
plasma-based measurements
4
measurements tumor
4
heterogeneity correlate
4
correlate clinical
4

Similar Publications

Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.

View Article and Find Full Text PDF

Capturing the dynamic changes in patients' internal states as they approach death due to fatal diseases remains a major challenge in understanding individual pathologies and improving end-of-life care. However, existing methods primarily focus on specific test values or organ dysfunction markers, failing to provide a comprehensive view of the evolving internal state preceding death. To address this, we analyzed electronic health record (EHR) data from a single institution, including 8,976 cancer patients and 77 laboratory parameters, by constructing continuous mortality prediction models based on gradient-boosting decision trees and leveraging them for temporal analyses.

View Article and Find Full Text PDF

Introduction Neuroendocrine tumors (NETs) are a rare and heterogeneous group of neoplasms with both clinical and genetic diversity. The clinical applicability of molecular profiling using liquid biopsy for identifying actionable drug targets and prognostic indicators in patients with advanced NETs remains unclear. Methods In this study, we utilized a custom-made 37 genes panel of circulating tumor DNA (ctDNA) based on next-generation sequencing (NGS) in 47 patients with advanced NETs.

View Article and Find Full Text PDF

Soft tissue sarcomas are a heterogeneous group of malignancies arising from mesenchymal cells. Recent advancements in genomic profiling have identified novel gene fusions in these tumors, offering new insights into their pathogenesis and potential therapeutic targets. Here, we describe a spindle cell sarcoma harboring a novel gene fusion.

View Article and Find Full Text PDF

Strategic Design of Aptamer-Guided Aggregation-Induced Emission Nanoparticles for Targeted Photodynamic Therapy in Breast Cancer.

Adv Sci (Weinh)

September 2025

Department of Chemical and Biological Engineering, Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Hong Kong, 999077,

Breast cancer (BC), characterized by its heterogeneity and diverse subtypes, necessitates personalized treatment strategies. This study presents MF3Ec-TBPP nanoparticles (NPs) as a promising approach, integrating an aggregation-induced emission (AIE)-based photosensitizer, TBPP, with the MF3Ec aptamer to enhance targeted photodynamic therapy (PDT) for Luminal A subtype BC cells. The nanoparticles also feature a 1, 2-distearoyl-sn-glycero-3-phosphoethanolamine-poly(ethylene glycol) shell and dipalmitoyl phosphatidylcholine (DPPC), which stabilize the structure and inhibit singlet oxygen generation, effectively reducing off-target effects and protecting healthy tissues.

View Article and Find Full Text PDF