To the Editor:Primary lung cancer is the most commonly diagnosed type ofmalignant tumor and is the leading cause of cancer deathworldwide.Non-small cell lung cancer(NSCLC)makes up 80%to 85%of the overall incidents of ...To the Editor:Primary lung cancer is the most commonly diagnosed type ofmalignant tumor and is the leading cause of cancer deathworldwide.Non-small cell lung cancer(NSCLC)makes up 80%to 85%of the overall incidents of primary lung cancer and is classified into two distinct histological subtypes:lung adenocarcinoma(LUAD)and lung squamous cell carcinoma(LUSC).LUAD constitutes nearly 30%to 35%of all primary lung cancer cases,and the recurrence of it seems to be increasing in most countries.[1]As a prevalent mRNA internal modification,N6-methyladenosine(m6A)methylation modification is of great significance for triggering the development of cancer and can be used as a cancer-promoting factor in many cancers.[2,3]In this study,we aim to develop an m6A RNA methylation regulators-premised prognostic signature for LUAD patients.展开更多
To the Editor:Lung adenocarcinoma(LUAD)with a high degree of malignancy is the most common histological subtype of lung cancer,and the leading cause of cancerrelated death in the world.[1]Tumor immune microenvironment...To the Editor:Lung adenocarcinoma(LUAD)with a high degree of malignancy is the most common histological subtype of lung cancer,and the leading cause of cancerrelated death in the world.[1]Tumor immune microenvironment is mainly composed of infiltrating immune and stromal cells,which have an important influence on the prognosis of LUAD patients.[2]In recent years,rapid advances in high-throughput sequencing technology have profoundly changed our understanding of tumor research.It uses a large amount of public clinical data to help researchers more effectively to study the characteristics of tumors and improve our ability to diagnose,treat,and prevent cancer.The purpose of this study was to use the estimation of stromal and immune cells in malignant tumor tissues using expression data(ESTIMATE)algorithm to calculate the immune and stromal scores of LUAD patients from The Cancer Genome Atlas(TCGA)database,explore the correlation between the scores and the survival of LUAD patients,and identify differentially expressed genes(DEGs)based on the immune/stromal scores.In addition,we also judged the prognostic value of DEGs and further studied their potential molecular functions.展开更多
基金This study was supported by grants from the National Key R&D Program of China(Nos.2017YFC1311000 and 2018YFC1312100)the CAMS Initiative for Innovative Medicine(Nos.2017-I2M-1-005,2017-I2M-2-003,and 2019-I2M-2-002)+1 种基金the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(Nos.2018PT32033 and 2017PT32017)the Innovation team development project of Ministry of Education(No.IRT_17R10).
文摘To the Editor:Primary lung cancer is the most commonly diagnosed type ofmalignant tumor and is the leading cause of cancer deathworldwide.Non-small cell lung cancer(NSCLC)makes up 80%to 85%of the overall incidents of primary lung cancer and is classified into two distinct histological subtypes:lung adenocarcinoma(LUAD)and lung squamous cell carcinoma(LUSC).LUAD constitutes nearly 30%to 35%of all primary lung cancer cases,and the recurrence of it seems to be increasing in most countries.[1]As a prevalent mRNA internal modification,N6-methyladenosine(m6A)methylation modification is of great significance for triggering the development of cancer and can be used as a cancer-promoting factor in many cancers.[2,3]In this study,we aim to develop an m6A RNA methylation regulators-premised prognostic signature for LUAD patients.
基金This work was supported by grants from the Institutional Fundamental Research Funds(No.2018PT32033)the Ministry of Education Innovation Team Development Project(No.IRT-17R10)the Beijing Hope Run Special Fund of Cancer Foundation of China(No.LC2019B15).
文摘To the Editor:Lung adenocarcinoma(LUAD)with a high degree of malignancy is the most common histological subtype of lung cancer,and the leading cause of cancerrelated death in the world.[1]Tumor immune microenvironment is mainly composed of infiltrating immune and stromal cells,which have an important influence on the prognosis of LUAD patients.[2]In recent years,rapid advances in high-throughput sequencing technology have profoundly changed our understanding of tumor research.It uses a large amount of public clinical data to help researchers more effectively to study the characteristics of tumors and improve our ability to diagnose,treat,and prevent cancer.The purpose of this study was to use the estimation of stromal and immune cells in malignant tumor tissues using expression data(ESTIMATE)algorithm to calculate the immune and stromal scores of LUAD patients from The Cancer Genome Atlas(TCGA)database,explore the correlation between the scores and the survival of LUAD patients,and identify differentially expressed genes(DEGs)based on the immune/stromal scores.In addition,we also judged the prognostic value of DEGs and further studied their potential molecular functions.
