Foundry120 atlas

Gene expression profile at single cell level from the colorectal cancer (CRC)

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Dataset overview

Participants None
Samples 26
Reuse readiness 4.6/10 evidence-backed score

Oncogenic KRAS Drives Lipofibrogenesis to Promote Angiogenesis and Colon Cancer Progression.

Abstract

Oncogenic KRAS (KRAS*) contributes to many cancer hallmarks. In colorectal cancer, KRAS* suppresses antitumor immunity to promote tumor invasion and metastasis. Here, we uncovered that KRAS* transforms the phenotype of carcinoma-associated fibroblasts (CAF) into lipid-laden CAFs, promoting angiogenesis and tumor progression. Mechanistically, KRAS* activates the transcription factor CP2 (TFCP2) that upregulates the expression of the proadipogenic factors BMP4 and WNT5B, triggering the transformation of CAFs into lipid-rich CAFs. These lipid-rich CAFs, in turn, produce VEGFA to spur angiogenesis. In KRAS*-driven colorectal cancer mouse models, genetic or pharmacologic neutralization of TFCP2 reduced lipid-rich CAFs, lessened tumor angiogenesis, and improved overall survival. Correspondingly, in human colorectal cancer, lipid-rich CAF and TFCP2 signatures correlate with worse prognosis. This work unveils a new role for KRAS* in transforming CAFs, driving tumor angiogenesis and disease progression, providing an actionable therapeutic intervention for KRAS*-driven colorectal cancer.<h4>Significance</h4>This study identified a molecular mechanism contributing to KRAS*-driven colorectal cancer progression via fibroblast transformation in the tumor microenvironment to produce VEGFA driving tumor angiogenesis. In preclinical models, targeting the KRAS*-TFCP2-VEGFA axis impaired tumor progression, revealing a potential novel therapeutic option for patients with KRAS*-driven colorectal cancer. This article is featured in Selected Articles from This Issue, p. 2489.

Study facts

Organism
Homo sapiens
Platform
NextSeq 500
Age group
Disease groups
Anatomical sites
colon, liver

Data availability

  • Processed matrix

File types MTXTSV

Files and samples

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Processed matrices are advertised

Limitations

  • Not documented: raw counts are advertised
  • Not documented: cell metadata are advertised
  • Not documented: participant counts are documented
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.library_chemistry 10x Genomics single cell 3' v3
Library was performed according to the manufacter’s instructions (single cell 3’ v3 protocol, 10x Genomics).

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assay.platform NextSeq 500
NextSeq 500

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assay.reference_genome GRCh38-3.0.0
Assembly: GRCh38-3.0.0

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assay.sequencing_type scrna_seq
We used single cell RNAsequencing (scRNA-seq) to analyze the diversity of CRC.

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Data_Assets

FieldValueEvidence
data_assets.open_access True
Public on Sep 25 2023

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data_assets.processed_matrix True
Supplementary files format and content: Tab-separated values files and matrix files

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data_assets.raw_reads True
GSE231559_RAW.tar

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Specimens

FieldValueEvidence
specimens.anatomical_sites ['colon', 'liver']
Fresh colorectal cancer tissues and adjucent normal tissues from primary and liver/peritnoeum-Met patients were collected for scRNA-seq.

Section , offset —

specimens.number_of_samples 26
"n_samples": 26

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