Single-cell omics in investigating the effect of CAFs with KRAS overexpression on the malignant progression of anaplastic thyroid cancer

In summary, CAFs with KRAS overexpression play a crucial role in the malignant biological characteristics of ATC. Targeting KRAS may be a potential strategy to effectively curb the malignant progression of ATC.

Authors

Institutions

Publication Details

Journal
Journal of the Chinese Medical Association
Published
2026-01-05
DOI
https://doi.org/10.1097/jcma.0000000000001334
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell omics in investigating the effect of CAFs with KRAS overexpression on the malignant progression of anaplastic thyroid cancer

Mengze Chen, Meidi Yan, Guo‐Qing Li, Haohang Sun et al.
Journal of the Chinese Medical Association
Single-cell and spatial transcriptomics
article

Single-cell omics in investigating the effect of CAFs with KRAS overexpression on the malignant progression of anaplastic thyroid cancer

Mengze Chen, Meidi Yan, Guo‐Qing Li, Haohang Sun, Ji Dai, Qi Chen
article en

Abstract

In summary, CAFs with KRAS overexpression play a crucial role in the malignant biological characteristics of ATC. Targeting KRAS may be a potential strategy to effectively curb the malignant progression of ATC.

Journal of the Chinese Medical AssociationVol. 89(2)
Zhuhai People's Hospital (CN), Ninghai County First Hospital (CN)
Openalex Percentile: Top 97%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.