# Plasma Protein Biomarkers to Detect Early Gastric Preneoplasia and Cancer: A Prospective Study

**Authors:** Quentin Giai Gianetto, Valérie Michel, Thibaut Douché, Karine Nozeret, Aziz Zaanan, Oriane Colussi, Isabelle Trouilloud, Simon Pernot, Marie-Noelle Ungeheuer, Catherine Julié, Nathalie Jolly, Julien Taïeb, Dominique Lamarque, Mariette Matondo, Eliette Touati

PMC · DOI: 10.3390/ijms262010114 · International Journal of Molecular Sciences · 2025-10-17

## TL;DR

This study identifies blood protein biomarkers that can detect early gastric cancer and preneoplasia with high accuracy, offering a non-invasive alternative to endoscopy.

## Contribution

The study introduces a novel plasma protein panel for early detection of gastric lesions with high classification performance.

## Key findings

- A four-protein panel achieved 94.1–98.2% AUROC for distinguishing cancer from non-cancer cases.
- A five-protein panel reached 97.3–99.5% AUROC for detecting cancer or preneoplasia compared to healthy cases.
- The biomarkers were validated in a cohort of 138 participants using ELISA after initial mass spectrometry discovery.

## Abstract

Gastric cancer (GC) often presents a poor prognosis due to its asymptomatic phenotype at early stages. Upper endoscopy, which is the current gold standard to diagnose GC, is invasive with limited sensitivity for detecting gastric preneoplasia. Non-invasive biomarkers, such as blood circulating proteins, offer a promising alternative for the early detection of gastric lesions. In this prospective study, we identified plasma protein biomarkers for gastric preneoplasia and cancer using mass spectrometry-based proteomics in an exploratory cohort (n = 39). Fifteen promising protein candidates emerged to distinguish patient categories and were further confirmed by enzyme-linked immunosorbent assays (ELISA) in plasma samples from a validation cohort of 138 participants. Our predictive models demonstrated high classification performance with a minimal set of biomarkers. A four-protein panel (ARG1, CA2, F13A1, S100A12) achieved 94.1–98.2% AUROC (95% CI) for distinguishing cancer from non-cancer cases, while a five-protein panel (ARG1, CA2, HPT, MAN2A1, LBP) reached 97.3–99.5% AUROC (95% CI) for distinguishing cancer or preneoplasia from healthy or non-atrophic gastritis cases on the full cohort. Leveraging simple blood sampling, this strategy holds promise to detect high-risk gastric lesions, even at asymptomatic stages. Such an approach could significantly improve early detection and clinical management of GC, offering direct benefit for patients.

## Linked entities

- **Genes:** ARG1 (arginase 1) [NCBI Gene 383], CA2 (carbonic anhydrase 2) [NCBI Gene 760], F13A1 (coagulation factor XIII A chain) [NCBI Gene 2162], S100A12 (S100 calcium binding protein A12) [NCBI Gene 6283], HPT (hypoparathyroidism) [NCBI Gene 3258], MAN2A1 (mannosidase alpha class 2A member 1) [NCBI Gene 4124], LBP (lipopolysaccharide binding protein) [NCBI Gene 3929]
- **Diseases:** gastric cancer (MONDO:0001056)

## Full-text entities

- **Genes:** F13A1 (coagulation factor XIII A chain) [NCBI Gene 2162] {aka F13A}, LBP (lipopolysaccharide binding protein) [NCBI Gene 3929] {aka BPIFD2}, ARG1 (arginase 1) [NCBI Gene 383], MAN2A1 (mannosidase alpha class 2A member 1) [NCBI Gene 4124] {aka AMan II, GOLIM7, MANA2, MANII}, CA2 (carbonic anhydrase 2) [NCBI Gene 760] {aka CA-II, CAC, CAII, Car2, HEL-76, HEL-S-282}, HPT (hypoparathyroidism) [NCBI Gene 3258] {aka HPTX, HYPX}, S100A12 (S100 calcium binding protein A12) [NCBI Gene 6283] {aka CAAF1, CAGC, CGRP, ENRAGE, MRP-6, MRP6}
- **Diseases:** Gastric Preneoplasia (MESH:D013272), Cancer (MESH:D009369), non-atrophic gastritis (MESH:D005757), GC (MESH:D013274)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12564110/full.md

## References

70 references — full list in the complete paper: https://tomesphere.com/paper/PMC12564110/full.md

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Source: https://tomesphere.com/paper/PMC12564110