Genomic Profiles of 24 Colorectal Neuroendocrine Tumors Across Grades

Whole-exome sequencing data from 24 colorectal neuroendocrine tumors (CRNETs) across G1, G2, and G3 grades, identifying somatic single nucleotide polymorphisms (SNPs). The dataset includes analysis of significant mutated genes like HYDIN, copy number variations, and links to carcinogenic pathways. It was authored by Hongfa Xu and last updated on May 11, 2026.

Use Cases

• Identify grade-specific mutation signatures based on the prevalence of T>C and C>T single nucleotide variants.
• Investigate candidate biomarkers for tumor grading based on the tumor-associated HYDIN mutations exclusive to G3 samples.
• Analyze copy number variations in genes such as POP4, PPARG, MYC, F10, VOPP1, and UGT2B17 across different tumor grades.
• Explore potential clinical drug responses linked to specific mutation sites in the KMT2A gene.
• Study the association of mutation signatures with carcinogenic pathways like RTK-RAS, Notch, WNT, and Hippo.

Strengths

• Data is derived from whole-exome sequencing of 24 tumor samples.
• Analysis includes grade-specific findings for G1, G2, and G3 tumors.
• License is CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The dataset is very small at 5.3 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Whole-exome sequencing of tumor samples.

Freshness

Last updated 2026-05-11 22:04:46; freshness should be verified.