Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer.

Scientific reports - 12 Sept 2018

Sirinukunwattana Korsuk, Snead David, Epstein David, Aftab Zia, Mujeeb Imaad, Tsang Yee Wah, Cree Ian, Rajpoot Nasir

Abstract excerpt

Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow-up treatments if stratified accurately at an early stage of the disease. Studies have increasingly recognized the role of diverse cellular components within the tumor microenvironment in the development and progression of CRC tumors....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Aged, 80 and over

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers, Tumor

Share to Colorectal Neoplasms

Share to Neoplasm Metastasis

Share to Neoplasm Recurrence, Local

Share to Risk Factors

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 30209315
DOI: 10.1038/s41598-018-31799-3
PMCID: PMC6135776

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer.PMID 30209315Read ↗

Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling ApproachSemantic proximity Read ↗

Detecting phenotype-specific tumor microenvironment by merging bulk and single cell expression data to spatial transcriptomicsSemantic proximity Read ↗

Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot studySemantic proximity Read ↗

Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility StudySemantic proximity Read ↗

Spatially Resolved Transcriptomics Deconvolutes Histological Prognostic Subgroups in Patients with Colorectal Cancer and Synchronous Liver MetastasesSemantic proximity Read ↗

Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor HeterogeneitySemantic proximity Read ↗

An AI-Powered tissue-agnostic cellular morphometrics biomarker for risk assessment in patients with pan-gastrointestinal precancerous lesions and cancersSemantic proximity Read ↗

Multiplexed 3D atlas of state transitions and immune interactions in colorectal cancerSemantic proximity Read ↗

Molecular portraits of colorectal cancer morphological regionsSemantic proximity Read ↗

Computational discovery of tissue morphology biomarkers in very long-term survivors with pancreatic ductal adenocarcinomaSemantic proximity Read ↗

Radiological and pathological integration predicts the efficacy of bevacizumab with chemotherapy in colorectal cancer liver metastasesSemantic proximity Read ↗

Image-based profiling and deep learning reveal morphological heterogeneity of colorectal cancer organoidsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.