The Prognostic Value of CIP2A and Its Association with CD31, E-Cadherin, and pAMPK in Lung Cancer

Cancerous inhibitor of protein phosphatase 2A (CIP2A) is an oncoprotein promoting tumor progression via multiple pathways. Its prognostic significance in lung cancer remains unclear. We analyzed tumor samples from 53 patients with lung cancer undergoing curative surgical resection without prior chemotherapy or radiotherapy. Immunohistochemical staining and H-score quantification were performed to assess CIP2A and related protein expression. Patients were stratified based on CIP2A expression (cutoff value = 218.33). Kaplan-Meier survival analysis produced curves and log-rank tests. Correlations with clinicopathological and molecular markers were assessed. High CIP2A expression was significantly associated with poorer survival (log-rank, <i>p</i> = 0.0051). Pearson correlation analysis revealed that CIP2A expression was positively correlated with clusters of differentiation 31 (r = 0.420, <i>p</i> = 0.002), epithelial cadherin (r = 0.372, <i>p</i> = 0.006), and phosphorylated protein kinase B (r = 0.332, <i>p</i> = 0.015), and negatively correlated with phosphorylated AMP-activated protein kinase (r = -0.474, <i>p</i> < 0.001), suggesting potential roles for CIP2A in promoting angiogenesis, sustaining epithelial traits, and suppressing metabolic regulation via AMPK signaling. CIP2A is a significant prognostic biomarker in lung cancer, contributing to tumor progression through modulation of angiogenesis and metabolic pathways. Exploration of its therapeutic potential and underlying mechanisms is warranted.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-08-28
DOI
https://doi.org/10.3390/ijms26178362
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Prognostic Value of CIP2A and Its Association with CD31, E-Cadherin, and pAMPK in Lung Cancer

Chiao-Yin Cheng, Ching‐Yu Shih, P. Lee, Chih‐Jung Chang et al.
International Journal of Molecular Sciences
Lung Cancer Research Studies
article

The Prognostic Value of CIP2A and Its Association with CD31, E-Cadherin, and pAMPK in Lung Cancer

Chiao-Yin Cheng, Ching‐Yu Shih, P. Lee, Chih‐Jung Chang, Yen‐Lin Chen, Hua Ho
article en

Abstract

Cancerous inhibitor of protein phosphatase 2A (CIP2A) is an oncoprotein promoting tumor progression via multiple pathways. Its prognostic significance in lung cancer remains unclear. We analyzed tumor samples from 53 patients with lung cancer undergoing curative surgical resection without prior chemotherapy or radiotherapy. Immunohistochemical staining and H-score quantification were performed to assess CIP2A and related protein expression. Patients were stratified based on CIP2A expression (cutoff value = 218.33). Kaplan-Meier survival analysis produced curves and log-rank tests. Correlations with clinicopathological and molecular markers were assessed. High CIP2A expression was significantly associated with poorer survival (log-rank, <i>p</i> = 0.0051). Pearson correlation analysis revealed that CIP2A expression was positively correlated with clusters of differentiation 31 (r = 0.420, <i>p</i> = 0.002), epithelial cadherin (r = 0.372, <i>p</i> = 0.006), and phosphorylated protein kinase B (r = 0.332, <i>p</i> = 0.015), and negatively correlated with phosphorylated AMP-activated protein kinase (r = -0.474, <i>p</i> < 0.001), suggesting potential roles for CIP2A in promoting angiogenesis, sustaining epithelial traits, and suppressing metabolic regulation via AMPK signaling. CIP2A is a significant prognostic biomarker in lung cancer, contributing to tumor progression through modulation of angiogenesis and metabolic pathways. Exploration of its therapeutic potential and underlying mechanisms is warranted.

International Journal of Molecular SciencesVol. 26(17)
Far Eastern Memorial Hospital (TW), National Defense Medical Center (TW), Yuan Ze University (TW)
Openalex Percentile: Top 68%
Lung Cancer Research Studies
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.