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. 2024 Aug 1;13(8):584.
doi: 10.3390/biology13080584.

Proteomic Profile of Endometrial Cancer: A Scoping Review

Beatriz Serambeque  1   2 , Catarina Mestre  1   2 , Kristina Hundarova  3 , Carlos Miguel Marto  1   2   4   5   6   7 , Bárbara Oliveiros  2   4   8 , Ana Rita Gomes  1   9 , Ricardo Teixo  1   2 , Ana Sofia Carvalho  10 , Maria Filomena Botelho  1   2   4   5 , Rune Matthiesen  10 , Maria João Carvalho  1   2   3   4   11 , Mafalda Laranjo  1   2   4
Affiliations

Proteomic Profile of Endometrial Cancer: A Scoping Review

Beatriz Serambeque et al. Biology (Basel). .

Abstract

Proteomics can be a robust tool in protein identification and regulation, allowing the discovery of potential biomarkers. In clinical practice, the management of endometrial cancer can be challenging. Thus, identifying promising markers could be beneficial, helping both in diagnosis and prognostic stratification, even predicting the response to therapy. Therefore, this manuscript systematically reviews the existing evidence of the proteomic profile of human endometrial cancer. The literature search was conducted via Medline (through PubMed) and the Web of Science. The inclusion criteria were clinical, in vitro, and in vivo original studies reporting proteomic analysis using all types of samples to map the human endometrial cancer proteome. A total of 55 publications were included in this review. Most of the articles carried out a proteomic analysis on endometrial tissue, serum and plasma samples, which enabled the identification of several potential diagnostic and prognostic biomarkers. In addition, eight articles were analyzed regarding the identified proteins, where three studies showed a strong correlation, sharing forty-five proteins. This analysis also allowed the identification of the 10 most frequently reported proteins in these studies: EGFR, PGRMC1, CSE1L, MYDGF, STMN1, CASP3 ANXA2, YBX1, ANXA1, and MYH11. Proteomics-based approaches pointed out potential diagnostic and prognostic candidates for endometrial cancer. However, there is a lack of studies exploring novel therapeutic targets.

Keywords: biomarkers; diagnosis; endometrial cancer; prognosis; proteomics; therapeutics.

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Conflict of interest statement

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
Different proteomic-based approaches applied to several types of samples led to the identification of potential biomarkers for human endometrial cancer. Created with BioRender.com.
Figure 2
Figure 2
Flow diagram of the selection of evidence sources included and reasons for exclusion.
Figure 3
Figure 3
Consistency of potential biomarkers across studies. (a) Network of potential biomarker overlap proposed in different studies. The edges correlate with the number of shared potential biomarkers from the connected studies. Node sizes indicate the number of potential biomarkers proposed by the specific study. (b) Venn diagram displaying the number of proteins shared by the three studies most strongly connected in the network. (c) Bar plot indicated the most frequently reported potential biomarkers, identified in each study as a regulated protein (A [21], B [40], C [36], D [47], E [49], F [39], G [66], and H [52]).
See this image and copyright information in PMC

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