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The resulting model is validated across multiple dimensions and is proposed as an indicator for rectal cancer outcome assessment, supporting early detection and possible immunotherapy targets.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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is the study’s main goal for rectal adenocarcinoma patients?","Question",{"text":63,"@type":64},"To identify differentially expressed m6A-related lncRNAs and construct a risk assessment model that predicts clinical outcomes for rectal adenocarcinoma patients.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How were biomarkers and the prognostic model developed?",{"text":68,"@type":64},"The study used the READ dataset from TCGA and bioinformatics workflows to integrate m6A and lncRNA signals, then built a risk prediction model based on m6A-associated lncRNAs.",{"name":70,"@type":61,"acceptedAnswer":71},"Which m6A-related lncRNAs are included in the proposed prognostic model?",{"text":72,"@type":64},"The model consists of three m6A-related lncRNAs: linc00702, ac106900.1, and 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analysis of markers based on m6 A related to prognosis combined with immune invasion of rectal adenocarcinoma  \n95  \nShunkang Yan, Jiandong Zhang, Lianghe Li, Gang Chen, Zhongsheng Chen and Wei Zhan􀀃 Department of Anorectal Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China  \nReceived 29 March 2023 Accepted 5 January 2024  \nAbstract.  \nBACKGROUND: Colorectal cancer (CRC) is a common form of cancer, with rectal cancer accounting for approximately one-third of all cases. Among rectal cancers, 95% are classified as rectal adenocarcinoma (READ) . Emerging evidence suggests that long noncoding RNAs (lncRNAs) play a significant role in the development and progression of various cancers. In our study, we aimed to identify differentially expressed lncRNAs potentially associated with m6A and establish a risk assessment model to predict clinical outcomes for READ patients.  \nMETHODS: The READ dataset from the TCGA database was utilized in this study to synergistically and logically integrate m6A and lncRNA, while employing bioinformatics technology for the identification of suitable biomarkers. A risk prediction model comprising m6A-associated lncRNAs was constructed to investigate the prognostic, diagnostic, and biological functional relevance of these m6A-related lncRNAs.  \nRESULTS: Our research builds a composed of three related to m6A lncRNA rectal gland cancer prognosis model, and the model has been proved in the multi-dimensional can serve as the potential of the prognosis of rectal gland cancer biomarkers. Our study constructed a prognostic model of rectal adenocarcinoma consisting of three related m6A lncRNAs: linc00702, ac106900.1 and al583785 .1.  \nCONCLUSION: The model has been validated as a potential prognostic biomarker for rectal cancer in multiple dimensions, aiming to provide clinicians with an indicator to assess the duration of straight adenocarcinoma. This enables early detection of rectal cancer and offers a promising target for immunotherapy.  \nKeywords: Long noncoding RNA (lncRNAs), rectal adenocarcinoma, prognostic model, m6A, immune microenvironment  \n1. Introduction  \nColorectal cancer (CRC) has the third highest incidence in the world (10.2% of total cases) and is the second leading cause of cancer-related death globally (9 .2% of all cases) . CRC can be divided into colonicadenocarcinoma (COAD) and rectal adenocarcinoma (READ) [1], of which rectal adenocarcinoma accounts for about 30%–35% of all CRC patients [2] . Clinically,  \n􀀃 Corresponding author: Wei Zhan, Department of Anorectal Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou, China. E-mail: [zw16799507@163.com](zw16799507@163.com).  \nthe standard treatment for rectal cancer is radiotherapy and chemotherapy plus resection [3] . However, the rectum is located in the deep pelvic cavity, leading to frequent postoperative recurrence, and the anatomical relationship makes the operation difficult. For patients with low and moderate rectal cancer, the harsh truth is that the lesion is located near the anal sphincter. It is difficult for clinicians to preserve the anus and its function during surgery [4] . In addition to the impact on survival, colorectal cancer patients' quality of life is also significantly reduced, which is supported by sufficient data [5] . The high aggressiveness of rectal cancer and the high local multiple recurrence and metastasis  \nISSN 1574-0153 􀀍c 2024 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4 .0) .  \n96 S. Yan et al. / New Biomarkers of READ from TCGA database  \nrate have led to the double incidence of rectal cancer in patients under 40 years old since 1940 [6] . For the same reason, about half of rectal cancer patients are diagnosed with locally advanced rectal can","cbCais5p9nIso6xd","https://ap.wps.com/l/cbCais5p9nIso6xd","pdf",12073045,15,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusion\n# Introduction\n## Colorectal cancer burden and treatment challenges\n## Role of m6A in cancer biology\n## Rationale for lncRNA and m6A integration in READ","[{\"question\":\"What is the study’s main goal for rectal adenocarcinoma patients?\",\"answer\":\"To identify differentially expressed m6A-related lncRNAs and construct a risk assessment model that predicts clinical outcomes for rectal adenocarcinoma patients.\"},{\"question\":\"How were biomarkers and the prognostic model developed?\",\"answer\":\"The study used the READ dataset from TCGA and bioinformatics workflows to integrate m6A and lncRNA signals, then built a risk prediction model based on m6A-associated lncRNAs.\"},{\"question\":\"Which m6A-related lncRNAs are included in the proposed prognostic model?\",\"answer\":\"The model consists of three m6A-related lncRNAs: linc00702, ac106900.1, and al583785.1.\"}]","Bioinformatics analysis of markers based on m6A related to prognosis combined with immune invasion of rectal adenocarcinoma | PDF",1789997165,38]