Metabolism-related long non-coding RNA in the stomach cancer associated with 11 AMMLs predictive nomograms for OS in STAD

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Abstract

Background: The metabolic processes involving amino acids are intimately linked to the onset and progression of cancer. Long non-coding RNAs (LncRNAs) perform an indispensable function in the modulation of metabolic processes as well as the advancement of tumors. Non-etheless, research into the role that amino acid metabolism-related LncRNAs (AMMLs) might play in predicting the prognosis of stomach adenocarcinoma (STAD) has not been done. Therefore, This study sought to design a model for AMMLs to predict STAD-related prognosis and elucidate their immune properties and molecular mechanisms.

Methods: The STAD RNA-seq data in the TCGA-STAD dataset were randomized into the training and validation groups in a 1:1 ratio, and models were constructed and validated respectively. In the molecular signature database, This study screened for genes involved in amino acid metabolism. AMMLs were obtained by Pearson’s correlation analysis, and predictive risk characteristics were established using least absolute shrinkage and selection operator (LASSO) regression, univariate Cox analysis, and multivariate Cox analysis. Subsequently, the immune and molecular profiles of high- and low-risk patients and the benefit of the drug were examined.

Results: Eleven AMMLs (LINC01697, LINC00460, LINC00592, MIR548XHG, LINC02728, RBAKDN, LINCOG, LINC00449, LINC01819, and UBE2R2-AS1) were used to develop a prognostic model. Moreover, high-risk individuals had worse overall survival (OS) than low-risk patients in the validation and comprehensive groups. A high-risk score was associated with cancer metastasis as well as angiogenic pathways and high infiltration of tumor-associated fibroblasts, Treg cells, and M2 macrophages; suppressed immune responses; and a more aggressive phenotype.

Conclusion: This study identified a risk signal associated with 11 AMMLs and established predictive nomograms for OS in STAD. These findings will help us personalize treatment for gastric cancer patients.

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Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Hyuna Sung, Jacques Ferlay, Rebecca Siegel … (2021)

This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.

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Microenvironmental regulation of tumor progression and metastasis.

Daniela F Quail, Johanna A Joyce (2013)

Cancers develop in complex tissue environments, which they depend on for sustained growth, invasion and metastasis. Unlike tumor cells, stromal cell types within the tumor microenvironment (TME) are genetically stable and thus represent an attractive therapeutic target with reduced risk of resistance and tumor recurrence. However, specifically disrupting the pro-tumorigenic TME is a challenging undertaking, as the TME has diverse capacities to induce both beneficial and adverse consequences for tumorigenesis. Furthermore, many studies have shown that the microenvironment is capable of normalizing tumor cells, suggesting that re-education of stromal cells, rather than targeted ablation per se, may be an effective strategy for treating cancer. Here we discuss the paradoxical roles of the TME during specific stages of cancer progression and metastasis, as well as recent therapeutic attempts to re-educate stromal cells within the TME to have anti-tumorigenic effects.

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Burden of Gastric Cancer

Aaron Thrift, Hashem El-Serag (2019)

Gastric cancer is a global health problem, with more than 1 million people newly diagnosed with gastric cancer worldwide each year. Despite its worldwide decline in incidence and mortality over the past 5 decades, gastric cancer remains the third leading cause of cancer-related death. Knowledge of global as well as regional epidemiology and risk factors for gastric cancer is essential for the practicing gastroenterologist to make personalized decisions about risk stratification, screening, and prevention. In this article, we review the epidemiology of gastric cancer as well as screening and prevention efforts to reduce global morbidity and mortality from gastric cancer. First, we discuss the descriptive epidemiology of gastric cancer, including its incidence, mortality, survival, and secular trends. We combine a synthesis of published studies with an analysis of data from the International Agency for Research on Cancer GLOBOCAN project to describe the global burden of gastric cancer and data from the US Cancer Statistics registry to discuss the change in incidence of gastric cancer in the United States. Next, we summarize current knowledge of risk factors for gastric cancer. Finally, we discuss prevention strategies and screening efforts for gastric cancer.

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Author and article information

Contributors

Yuanyuan Li: URI : https://loop.frontiersin.org/people/2203510/overview

Wensong Liu: URI : https://loop.frontiersin.org/people/2144024/overview

Journal

Journal ID (nlm-ta): Front Genet

Journal ID (iso-abbrev): Front Genet

Journal ID (publisher-id): Front. Genet.

Title: Frontiers in Genetics

Publisher: Frontiers Media S.A.

ISSN (Electronic): 1664-8021

Publication date (Electronic): 13 March 2023

Publication date Collection: 2023

Volume: 14

Electronic Location Identifier: 1127132

Affiliations

[1] ¹ Department of Hepatopancreatobiliary Surgery , Changzhou First People’s Hospital , Third Affiliated Hospital of Soochow University , Changzhou, China

[2] ² Department of Urinary Surgery , The Third Affiliated Hospital of Soochow University , Changzhou First People’s Hospital , Soochow University , Changzhou, China

[3] ³ Department of Gastrointestinal Surgery , The Third Affiliated Hospital of Soochow University , Changzhou First People’s Hospital , Soochow University , Changzhou, China

[4] ⁴ Department of Gastrointestinal Surgery , Changzhou Maternal and Child Health Care Hospital , Changzhou Medical Center , Nanjing Medical University , Changzhou, Jiangsu, China

Author notes

Edited by: Fanxiao Liu, Shandong Provincial Hospital, China

Reviewed by: Yuanda Liu, China Japan Union Hospital of Jilin University, China

Ahmed Abduljabbar Jaloob Aljanaby, University of Kufa, Iraq

Amrita Nandan, Independent researcher, Prayagraj, India

Pawan Kumar Raghav, University of California, San Francisco, United States

*Correspondence: Min Zhao, zhaomin9601@ 123456163.com ; Wensong Liu, Liuwensong19@ 123456163.com

[ † ]

These authors have contributed equally to this work

This article was submitted to Cancer Genetics and Oncogenomics, a section of the journal Frontiers in Genetics

Article

Publisher ID: 1127132

DOI: 10.3389/fgene.2023.1127132

PMC ID: 10040790

SO-VID: 885da0fc-3c98-409a-8fa2-5aa9f7f903b5

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

History

Date received : 19 December 2022

Date accepted : 28 February 2023

Funding

This work was supported by the Application Foundation Project of Changzhou Science and Technology Bureau (No. CJ20210165) and the General Project of Nanjing Medical University (No. NMUB2020073).

Metabolism-related long non-coding RNA in the stomach cancer associated with 11 AMMLs predictive nomograms for OS in STAD

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RNA drug delivery

Most cited references 51

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Microenvironmental regulation of tumor progression and metastasis.

Burden of Gastric Cancer

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