Evidence map›Paper›PMID 38902713›Full record

ArticleBMC cancer2024

Plasma-based proteomic profiling identifies the distinct regulation of proteins in hyperplasia and endometrial cancer.

Khalid Akkour, Ibrahim O Alanazi, Assim A Alfadda, Afshan Masood, Hani Alhalal, Salini Scaria Joy, Ali Bassi, Eman Alshehri, Moudi A Alwehaibi, Maria Arafah and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  2. Neuroproteomic Profiling of the Anxiolytic Potential ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Khalid AkkourObstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Ibrahim O AlanaziHealthy Aging Research Institute, King Abdulaziz City for Science and Technology (KACST), Health Sector, Riyadh, 11442, Saudi Arabia.
Assim A AlfaddaProteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Afshan MasoodProteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Hani AlhalalObstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Salini Scaria JoyProteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Ali BassiObstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Eman AlshehriObstetrics and Gynecology Department, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Moudi A AlwehaibiProteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia.
Maria ArafahDepartment of Pathology, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, 11461, Saudi Arabia.
Hicham BenabdelkamelProteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, 11461, Saudi Arabia. helkamel@ksu.edu.sa.

Funding

Deputyship for Research & Innovation, "Ministry of Education" in Saudi Arabia for funding this research work through the project number (IFKSUDR_H192). IFKSUDR_H192
6 · The paper itself

Abstract

backgroundAmong gynaecological malignancies, endometrial cancer (EC) is the most prevalent type of uterine cancer affecting women. This study explored the proteomic profiles of plasma samples obtained from EC patients, those with hyperplasia (Hy), and a control group (CO). A combination of techniques, such as 2D-DIGE, mass spectrometry, and bioinformatics, including pathway analysis, was used to identify proteins with modified expression levels, biomarkers and their associated metabolic pathways in these groups.

methodsThirty-four patients, categorized into three groups-10 with EC, 12 with Hy, and 12 CO-between the ages of 46 and 75 years old were included in the study. Untargeted proteomic analysis was carried out using two-dimensional difference in gel electrophoresis (2D-DIGE) coupled with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS).

resultsIn all three groups, 114 proteins that were significantly (p ≤ 0.05 and fold change ≥ 1.5) altered were successfully identified using peptide mass fingerprints (PMFs). Compared with those in the control group (CO), the EC samples had 85 differentially expressed proteins (39 upregulated and 46 downregulated), and in the Hy group, 81 proteins were dysregulated (40 upregulated and 41 downregulated) compared to those in the CO group, while 33 proteins exhibited differential regulation (12 upregulated and 21 downregulated) in the EC plasma samples compared to those in the Hy group. Vitamin D binding protein and complement C3 distinguished Hy and EC from CO with the greatest changes in expression. Among the differentially expressed proteins identified, enzymes with catalytic activity represented the largest group (42.9%). In terms of biological processes, most of the proteins were involved in cellular processes (28.8%), followed by metabolic processes (16.7%). STRING analysis for protein interactions revealed that the significantly differentially abundant proteins in the three groups are involved in three main biological processes: signalling of complement and coagulation cascades, regulation of insulin-like growth factor (IGF) transport and uptake by insulin-like growth factor binding proteins (IGFBPs), and plasma lipoprotein assembly, remodelling, and clearance.

conclusionThe identified plasma protein markers have the potential to serve as biomarkers for differentiating between EC and Hy, as well as for early diagnosis and monitoring of cancer progression.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsProteomicsAgedBlood ProteinsEndometrial HyperplasiaFemaleHumansMiddle AgedProteomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorBlood ProteinsProteome2D-DIGEBiomarkerEndometrial cancerHyperplasiaMALDI-TOFPlasmaProteomicsVitamin D binding protein

Identifiers

PMID38902713
PMCPMC11191338

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.