EGFR Levels in NSCLC Are Associated With Expression of SATB1 and EMT-promoting Factors

EGFR protein expression in the nuclei and cytoplasm of NSCLC cells was positively associated with the expression of SATB1, SLUG, SNAIL, and Twist1 proteins. The prognostic significance of <i>EGFR</i> mRNA expression was dependent on tumor histology and differed significantly between the AC and LSCC samples.

Authors

Institutions

Publication Details

Journal
Anticancer Research
Published
2025-08-28
DOI
https://doi.org/10.21873/anticanres.17728
Primary Topic
Cancer-related gene regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EGFR Levels in NSCLC Are Associated With Expression of SATB1 and EMT-promoting Factors

Adam Rzechonek, Aleksandra Piotrowska, Piotr Dzięgiel, Marzenna Podhorska‐Okołów et al.
Anticancer Research
Cancer-related gene regulation
article

EGFR Levels in NSCLC Are Associated With Expression of SATB1 and EMT-promoting Factors

Adam Rzechonek, Aleksandra Piotrowska, Piotr Dzięgiel, Marzenna Podhorska‐Okołów, Natalia Glatzel-Plucińska, Mateusz Olbromski
article en

Abstract

EGFR protein expression in the nuclei and cytoplasm of NSCLC cells was positively associated with the expression of SATB1, SLUG, SNAIL, and Twist1 proteins. The prognostic significance of <i>EGFR</i> mRNA expression was dependent on tumor histology and differed significantly between the AC and LSCC samples.

Anticancer ResearchVol. 45(9)
Wroclaw Medical University (PL)
Zero hunger
Openalex Percentile: Top 80%
Cancer-related gene regulation
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.