Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types

Abstract Cancer is a complex disease with profound societal and economic impacts, especially in metastatic cases where treatment challenges arise due to the absence of reliable biomarkers and effective therapies. While P21‐activated kinases (PAKs) play a key role in cancer progression, their potenti...

Full description

Saved in:
Bibliographic Details
Main Authors: Jessie M. Vo, Linh M. La, Ananda V. Anderson, Abdulaziz H. Alanazi, Payaningal R. Somanath
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Physiological Reports
Subjects:
Online Access:https://doi.org/10.14814/phy2.70192
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841527525455429632
author Jessie M. Vo
Linh M. La
Ananda V. Anderson
Abdulaziz H. Alanazi
Payaningal R. Somanath
author_facet Jessie M. Vo
Linh M. La
Ananda V. Anderson
Abdulaziz H. Alanazi
Payaningal R. Somanath
author_sort Jessie M. Vo
collection DOAJ
description Abstract Cancer is a complex disease with profound societal and economic impacts, especially in metastatic cases where treatment challenges arise due to the absence of reliable biomarkers and effective therapies. While P21‐activated kinases (PAKs) play a key role in cancer progression, their potential as predictive markers for metastasis and therapeutic targets has not been fully explored. We hypothesized that genetic alterations in PAK isoforms could be linked to reduced overall patient survival. To investigate this, we used data from the cBioPortal for Cancer Genomics, analyzing several randomized, multicentered phase‐3 clinical trial datasets. The analysis revealed significant genetic alterations in PAK genes, particularly in cancers such as breast, prostate, pancreatic, and lung. Notably, elevated PAK expression was associated with poorer survival outcomes in prostate and breast cancer patients. In pancreatic and lung cancers, although a trend of poorer survival with PAK alterations was observed, it was not statistically significant. Our findings underscore the importance of PAK isoforms as potential biomarkers and therapeutic targets, particularly in metastatic cancers. Further research could lead to improved patient outcomes through targeted interventions aimed at PAK‐related pathways, with PAK serving as a reliable biomarker for the precise diagnosis, monitoring, and personalization of treatment strategies.
format Article
id doaj-art-8ce84062345a41fb9066518a69c423e5
institution Kabale University
issn 2051-817X
language English
publishDate 2025-01-01
publisher Wiley
record_format Article
series Physiological Reports
spelling doaj-art-8ce84062345a41fb9066518a69c423e52025-01-15T13:36:31ZengWileyPhysiological Reports2051-817X2025-01-01131n/an/a10.14814/phy2.70192Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer typesJessie M. Vo0Linh M. La1Ananda V. Anderson2Abdulaziz H. Alanazi3Payaningal R. Somanath4Clinical and Experimental Therapeutics University of Georgia Augusta Georgia USAClinical and Experimental Therapeutics University of Georgia Augusta Georgia USAClinical and Experimental Therapeutics University of Georgia Augusta Georgia USAClinical and Experimental Therapeutics University of Georgia Augusta Georgia USAClinical and Experimental Therapeutics University of Georgia Augusta Georgia USAAbstract Cancer is a complex disease with profound societal and economic impacts, especially in metastatic cases where treatment challenges arise due to the absence of reliable biomarkers and effective therapies. While P21‐activated kinases (PAKs) play a key role in cancer progression, their potential as predictive markers for metastasis and therapeutic targets has not been fully explored. We hypothesized that genetic alterations in PAK isoforms could be linked to reduced overall patient survival. To investigate this, we used data from the cBioPortal for Cancer Genomics, analyzing several randomized, multicentered phase‐3 clinical trial datasets. The analysis revealed significant genetic alterations in PAK genes, particularly in cancers such as breast, prostate, pancreatic, and lung. Notably, elevated PAK expression was associated with poorer survival outcomes in prostate and breast cancer patients. In pancreatic and lung cancers, although a trend of poorer survival with PAK alterations was observed, it was not statistically significant. Our findings underscore the importance of PAK isoforms as potential biomarkers and therapeutic targets, particularly in metastatic cancers. Further research could lead to improved patient outcomes through targeted interventions aimed at PAK‐related pathways, with PAK serving as a reliable biomarker for the precise diagnosis, monitoring, and personalization of treatment strategies.https://doi.org/10.14814/phy2.70192cancergenetic alterationsmetastasisP21 activated kinasepatient survival
spellingShingle Jessie M. Vo
Linh M. La
Ananda V. Anderson
Abdulaziz H. Alanazi
Payaningal R. Somanath
Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
Physiological Reports
cancer
genetic alterations
metastasis
P21 activated kinase
patient survival
title Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
title_full Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
title_fullStr Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
title_full_unstemmed Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
title_short Genome analysis uncovers an inverse correlation between alterations in P21‐activated kinases and patient survival across multiple cancer types
title_sort genome analysis uncovers an inverse correlation between alterations in p21 activated kinases and patient survival across multiple cancer types
topic cancer
genetic alterations
metastasis
P21 activated kinase
patient survival
url https://doi.org/10.14814/phy2.70192
work_keys_str_mv AT jessiemvo genomeanalysisuncoversaninversecorrelationbetweenalterationsinp21activatedkinasesandpatientsurvivalacrossmultiplecancertypes
AT linhmla genomeanalysisuncoversaninversecorrelationbetweenalterationsinp21activatedkinasesandpatientsurvivalacrossmultiplecancertypes
AT anandavanderson genomeanalysisuncoversaninversecorrelationbetweenalterationsinp21activatedkinasesandpatientsurvivalacrossmultiplecancertypes
AT abdulazizhalanazi genomeanalysisuncoversaninversecorrelationbetweenalterationsinp21activatedkinasesandpatientsurvivalacrossmultiplecancertypes
AT payaningalrsomanath genomeanalysisuncoversaninversecorrelationbetweenalterationsinp21activatedkinasesandpatientsurvivalacrossmultiplecancertypes