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Proteomic Profiling of Endometrial Cancer Tissues Reveals Differential Expression of Proteomes in Obese Versus Non-Obese Patients

  • Khalid Akkour
  • , Mohamed Rafiullah
  • , Assim A. Alfadda
  • , Ibrahim O. Alanazi
  • , Afshan Masood
  • , Salini Scaria Joy
  • , Ahood A. Al-Eidan
  • , Eman Alshehri
  • , Ali Bassi
  • , Hani Alhalal
  • , Amal AlQarni
  • , Rukhsana Gul
  • , Hicham Benabdelkamel*
  • *Corresponding author for this work
  • King Saud University
  • King Abdulaziz City for Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Endometrial cancer (EC) is the leading gynecological malignancy worldwide. Obesity is reported to be associated with 50% of EC cases. Significant gaps remain in investigating specific molecular mechanisms behind the obesity-driven EC. Women diagnosed with EC undergoing total hysterectomy were recruited. Patients were divided into two groups: EC-obese with BMI > 29.9 kg/m2 (n = 10) and EC-Non-obese with BMI ≤ 29.9 kg/m2 (n = 10). Tumor tissues were subjected to label-free quantitative proteomic analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Differentially expressed proteins were identified and subjected to pathway enrichment and network analyses to characterize obesity-associated alterations. Proteomic profiling showed a significant dysregulation of 456 proteins: 171 upregulated and 285 downregulated. Proteins involved in endoplasmic reticulum quality control particularly endoplasmic reticulum lectin 1 (ERLEC1), were reduced. Conversely, EC-obese demonstrated upregulation of hepatocyte growth factor (HGF), integrin-linked kinase (ILK), CTTNBP2 N-terminal-like protein (CTTNBP2NL), and lysyl oxidase homolog 1 (LOXL1), implicating activation of inflammatory pathways. Bioinformatic analysis showed downregulation of immune-related pathways, including neutrophil degranulation, complement activation in the EC-obese group. ROC analysis identified apolipoprotein(a), phospholipase B-like 1, CTTNBP2NL, and ILK as significant proteins that can differentiate between the obese and non-obese states. Our findings provide insights into obesity-associated proteomic changes in EC and highlight candidate proteins that can be used for molecular stratification after further validation.

Original languageEnglish
Article number498
JournalCells
Volume15
Issue number6
DOIs
StatePublished - Mar 2026

Keywords

  • cancer metabolism
  • endometrial cancer
  • obesity
  • proteomics

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