Translational Research on Gastrointestinal Cancer in the Era of Precision Medicine

A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Cancer Biology".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 2498

Special Issue Editors


E-Mail Website
Guest Editor
Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
Interests: predictive and prognostic biomarkers; colorectal cancer; gastroesophageal cancer

E-Mail Website
Guest Editor
UMR 1078, Institut National de la Santé et de la Recherche Médicale (INSERM), 29200 Brest, France
Interests: digestive cancers; pre-mRNA splicing; metabolism; apoptosis; biotransformation

Special Issue Information

Dear Colleagues,

In the era of Precision Medicine in which each patient has to be the very center of health with their unique characteristics, the main aim of research is to translate the acquired laboratory data into an individualized treatment tool for improving patient stratification and selecting novel treatment strategies.

In this Special Issue, we would like to focus on tumors of the gastrointestinal (GI) tract that still represent one of the most common causes of cancer-related death worldwide, despite the significant improvements in the prognosis of patients that have been reached thanks to the development of new tailored therapies, including cytotoxic drugs, targeted therapies, and immunotherapy.

GI cancers are characterized by a high interpatient and intratumor heterogeneity, so that patients with similar phenotypes can respond differently to therapy. Understanding how tissue heterogeneity and the interaction between tumor cells and the tumor microenvironment (TME) influences treatment resistance, disease progression, and cancer relapse is a key for personalized medicine in GI tumors. 

There is an urgent need to find molecular and cellular predictive and prognostic biomarkers which can be integrated with clinical pathological and imaging data to improve the prediction of both cancer progression and response to therapy for the right patient at the right time.

In this context, not only tissue analysis but also the use of liquid biopsies can be of paramount importance to dynamic monitoring of the spatial and temporal clonal evolution of the tumor, in particular for patients for whom no tumor tissue is available.

In this Special Issue, we welcome original research and review articles focused on, but not limited to, analyses of genetic and epigenetic alterations, as well as evaluations at the transcriptomic, proteomic, and metabolomic level in tissue and/or liquid biopsy from patients affected by GI cancers.

Dr. Chiara Molinari
Dr. Laurent Corcos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biology is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • gastrointestinal cancer
  • response to therapy
  • predictive biomarkers
  • prognostic biomarkers
  • heterogeneity
  • tumoral tissue
  • liquid biopsy
  • tumor microenvironment

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 3696 KiB  
Article
High DAPK1 Expression Promotes Tumor Metastasis of Gastric Cancer
by Qingshui Wang, Shuyun Weng, Yuqin Sun, Youyu Lin, Wenting Zhong, Hang Fai Kwok and Yao Lin
Biology 2022, 11(10), 1488; https://doi.org/10.3390/biology11101488 - 11 Oct 2022
Cited by 6 | Viewed by 1916
Abstract
Gastric cancer (GC) is a common upper gastrointestinal tumor. Death-associated protein kinase (DAPK1) was found to participate in the development of various malignant tumors. However, there are few reports on DAPK1 in gastric cancer. In this study, the TCGA and GEO datasets were [...] Read more.
Gastric cancer (GC) is a common upper gastrointestinal tumor. Death-associated protein kinase (DAPK1) was found to participate in the development of various malignant tumors. However, there are few reports on DAPK1 in gastric cancer. In this study, the TCGA and GEO datasets were used to explore the expression and role of DAPK1 in gastric cancer. The functions of DAPK1 in gastric cancer were determined by proliferation, migration and invasion assays. In addition, genes co-expressed with DAPK1 in gastric cancer were estimated through the WGCNA and correlation analysis. A DAPK1-related gene prognostic model was constructed using the Cox regression and lasso analyses. The expression of DAPK1 was significantly up-regulated in gastric cancer tissues. Kaplan–Meier analysis showed that low expression of DAPK1 was a favorable prognostic factor of overall survival and disease-free survival for gastric cancer patients. Functional experiments demonstrated that DAPK1 can promote the migration and invasion of gastric cancer cells. WGCNA, correlation analysis, Cox regression, and lasso analyses were applied to construct the DAPK1-related prognostic model. The prognostic value of this prognostic model of DAPK1-related genes was further successfully validated in an independent database. Our results indicated that DAPK1 can promote gastric cancer cell migration and invasion and established four DAPK1-related signature genes for gastric cancer that could independently predict the survival of GC patients. Full article
Show Figures

Figure 1

Back to TopTop