Colon Cancer

AI-powered semantic segmentation model for enhanced ureteral mapping and real-time instrument feedback in robotic colorectal surgery.

Ureteral injury is a serious complication of colorectal surgery. Current intraoperative localization methods, including indocyanine green (ICG) fluorescence and dissection with direct visualization can be time-consuming, invasive, and technically limited. We developed a deep learning model which provides real-time instrument-proximity warnings and ureter identification without ICG during robotic c...

NRF2-mediated ferroptosis suppression defines a cancer-specific vulnerability in tumors.

NRF2 is a master regulator of redox and metabolic homeostasis that protects normal tissues from stress but is frequently hijacked by cancers to sustain survival and therapy resistance. Although NRF2 is dispensable for normal tissue function, its role in maintaining cancer cells within the native tumor microenvironment has remained undefined. Here, we uncover an essential and previously unrecognize...

Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment (TME) in which dysregulated mechanotransduction pr...

Keeping the endoscopist in the loop: can artificial intelligence improve colonoscopy without deskilling endoscopists?

A novel medical image segmentation network for colorectal polyp small targets and fuzzy boundaries.

OBJECTIVES: To address the challenges of complex feature variations and unclear boundary definitions between segmented targets and surrounding regions...

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma.

BACKGROUND: Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechanisms underlying resistance-ass...

Beyond Morphology: Reframing Lymph-Node Metastasis Prediction Through Clonal Ecology-Decades-Long Genomic Instability and Polyclonal-to-Monoclonal Transitions as the Missing Dimension in Cancer.

Recent whole-genome, lineage-tracing, single-cell, and spatial studies have reshaped our understanding of tumor evolution, revealing that cancers can ...

Impact of oncological biomarkers and clinical factors on survival outcomes in renal cell carcinoma with spinal metastasis: a retrospective analysis.

OBJECTIVE: Renal cell carcinoma (RCC) is a common malignancy that metastasizes to the spine, leading to complex treatment challenges and reduced survi...

Self-supervised monocular depth estimation for colonoscopy using normal-guided cross-attention.

PURPOSE: Reliable 3D reconstruction of colonoscopic scenes can facilitate navigation and enhance lesion assessment by indicating the regions that have...

Can Multiomics Modeling Enable Accurate Prediction of Microsatellite Instability in Colorectal Cancer?

RATIONALE AND OBJECTIVES: To investigate a multimodal deep learning model integrating computed tomography (CT) radiomics and histopathologic pathomics...

CCT2 Promotes Immune Escape in Colorectal Cancer by Regulating the JAK1-STAT3-PD-L1 Axis.

BACKGROUND: Colorectal cancer (CRC) is a major global health burden. While immune checkpoint inhibitors have greatly advanced cancer therapy, their th...

Building Machine Learning Models Based on Oxidative Stress Index Score to Predict Survival of Locally Advanced Rectal Cancer Receiving Different Neoadjuvant Therapy Patterns.

BACKGROUND: Liver enzyme biomarkers are known to contribute to the onset and progression of colorectal cancer. OBJECTIVE: To develop a novel oxidative...

Validation of tumour-negative lymph node size as a novel independent prognostic biomarker in oesophagogastric adenocarcinoma: post hoc analysis of the UK MRC OE05 and ST03 randomised trials.

BACKGROUND: The size of tumour-negative regional lymph nodes (LNnegs) may be associated with the host antitumour immune response in patients with oeso...

Cost-effectiveness and environmental impact of artificial intelligence-assisted colonoscopy with the resect-and-discard strategy: a microsimulation study.

Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer screening, but its incremental value relative to non-A...

A blood-based test for detection of advanced adenomas and colorectal cancer (DENEB): a multicentre diagnostic accuracy study.

BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...

Prevalence and chronology of colibactin-associated mutational processes and their microbiome spectra in Japanese colorectal cancer.

The incidence of colorectal cancer (CRC) has risen in recent decades, with a disproportionate increase observed among younger individuals in Japan and...

Adaptive Electrochemical Aptamer Sensing across Biofluid-Relevant pH Ranges via a Dual-Stage Machine Learning Framework.

Reliable electrochemical sensing can be hindered by environmental variability such as pH fluctuations, ionic strength, and nonspecific adsorption, whi...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...

Pharmacogenomic biomarkers in oncology: evidence, clinical utility, and barriers to implementation.

Interpatient variability in chemotherapy response and toxicity remains a major challenge in oncology. Pharmacogenomics (PGx) is an approach to address...

From Environmental Lead Exposure to Colorectal Cancer: Integrated Transcriptomic and Genetic Analyses Identify HMOX1 as a Prioritized Candidate.

Colorectal cancer (CRC) is a leading cause of cancer mortality, and the mechanisms linking lead exposure to CRC remain unclear. In this study, we inte...