Preprint Article Version 1 This version is not peer-reviewed

Definition of a Multi-omics Signature for Esophageal Adenocarcinoma Prognosis Prediction

Luca Lambroia
,
Carola Conca Dioguardi
,
Simone Puccio
,
Andrea Pansa
,
Giorgia Alvisi
,
Gianluca Basso
,
Javier Cibella
,
Federico S. Colombo
,
Salvatore Marano
,
Silvia Basato
,
Rita Alfieri
,
Simone Giudici
,
Carlo Castoro
* ,
Clelia Peano
*
Version 1 : Received: 2 July 2024 / Approved: 2 July 2024 / Online: 3 July 2024 (00:25:13 CEST)

How to cite: Lambroia, L.; Dioguardi, C. C.; Puccio, S.; Pansa, A.; Alvisi, G.; Basso, G.; Cibella, J.; Colombo, F. S.; Marano, S.; Basato, S.; Alfieri, R.; Giudici, S.; Castoro, C.; Peano, C. Definition of a Multi-omics Signature for Esophageal Adenocarcinoma Prognosis Prediction. Preprints 2024, 2024070230. https://doi.org/10.20944/preprints202407.0230.v1 Lambroia, L.; Dioguardi, C. C.; Puccio, S.; Pansa, A.; Alvisi, G.; Basso, G.; Cibella, J.; Colombo, F. S.; Marano, S.; Basato, S.; Alfieri, R.; Giudici, S.; Castoro, C.; Peano, C. Definition of a Multi-omics Signature for Esophageal Adenocarcinoma Prognosis Prediction. Preprints 2024, 2024070230. https://doi.org/10.20944/preprints202407.0230.v1

Abstract

Esophageal cancer is an extremely deadly tumor that accounts for 5% of all cancer deaths. The two main subtypes of the disease are esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). To date, few studies analyse EAC for transcriptional signatures associated with diagnosis and/or prognosis, while most focus on the analysis of transcriptional profiles of ESCC. In this study, we used single-cell RNA sequencing (scRNA-seq) analysis of CD45+ cells enriched from Tumors and matched Non Tumor tissues from therapy naїve patients to identify all types of immune cells present in tumor immune infiltrate and its transcriptional profile. In addi-tion, we analysed the entire transcriptome in a cohort of 23 patients whose tissue biopsies were taken from Tumors and matched with Non Tumor tissue. The transcriptional signatures we obtained were then used to stratify a large cohort of TCGA EAC patients, demonstrating a strong association with their prognosis, as well as the ability to predict a patient's clinical outcome and better define the prognosis of EAC after surgery. In addition, these features may lead patients to effective therapies including immunotherapy approaches.

Keywords

Esophageal-Adenocarcinoma; Cancer; immunotherapy; treatment; single-cell RNA; single-cell sequencing; RNA sequencing; transcriptional signature; response to therapy; immune infiltrate.

Subject

Medicine and Pharmacology, Gastroenterology and Hepatology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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