Pan-Cancer Gene Analysis of m6A Modification and Immune Infiltration in Uterine Corpus Endometrial Carcinoma
Objective. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC). Method. The UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (...
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| Veröffentlicht in: | Computational intelligence and neuroscience Jg. 2022; S. 1 - 11 |
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| Abstract | Objective. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC). Method. The UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/). There were 587 samples totally, containing 543 UCEC cases and 35 healthy cases. The clinical information of UCEC cases included survival time, survival status, gender, age, stage, and TMN stage. Twenty-three m6A-related genes were found in published journals. The RNA-seq documents of UCEC were downloaded in the Cancer Genome Atlas (TCGA). The hub gene data of UCEC were downloaded from GEPIA2 database. The different packages of R language were applied to calculate and analyze in this research. Results. Among 587 cases in our study, we discovered 3039 lncRNAs in the TCGA-UCEC database. After the differential analysis, 23 m6A-associated genetics were screened and twenty-one m6A-associated differential genetics were found. In the end, we obtained 20 m6A-related lncRNAs. LNCTAM34A was considered as a predictive gene through univariate and multivariate Cox regression analysis. In addition to the above, patients with high LNCTAM34A expression had better outcomes than those with low LNCTAM34A expression. The high-risk cohort had greater scores of activated dendritic cells (aDCs), B cells, and T cell regulatory (Tregs) than low-risk cohort; in the meanwhile, high-risk cohort had lower scores of DCs and iDCs. Then, the high-risk cohort displayed greater scores in the immune functions of MHC class I, para-inflammation, and type I IFN response than those of low-risk cohort. Among 27 immune-inducible genes, the level of CD244, KIR3DLI, NRP1, PDCD1LG2, and TNFRSF8 was reduced in UCEC samples and the level of CD27, CD28, CD70, CD80, CD86, HAVCR2, ICOS, IDO1, LAIR1, PDCD1, TIGIT, TNFRSF18, -25, -9, -14, and VTCN1 was increased in UCEC samples. Conclusion. The key role of M6A-related lncRNAs in immune microenvironment in high-risk patients of UCEC. The patients with strong expression of LNCTAM34A have a good prognosis, and LNCTAM34A can be used as a prognostic gene for UCEC. m6A-related lncRNAs can be used as a potential treatment for UCEC. Our observations can be used as a hypothetical basis for future in vitro and animal experiments. |
|---|---|
| AbstractList | Objective. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC). Method. The UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/). There were 587 samples totally, containing 543 UCEC cases and 35 healthy cases. The clinical information of UCEC cases included survival time, survival status, gender, age, stage, and TMN stage. Twenty-three m6A-related genes were found in published journals. The RNA-seq documents of UCEC were downloaded in the Cancer Genome Atlas (TCGA). The hub gene data of UCEC were downloaded from GEPIA2 database. The different packages of R language were applied to calculate and analyze in this research. Results. Among 587 cases in our study, we discovered 3039 lncRNAs in the TCGA-UCEC database. After the differential analysis, 23 m6A-associated genetics were screened and twenty-one m6A-associated differential genetics were found. In the end, we obtained 20 m6A-related lncRNAs. LNCTAM34A was considered as a predictive gene through univariate and multivariate Cox regression analysis. In addition to the above, patients with high LNCTAM34A expression had better outcomes than those with low LNCTAM34A expression. The high-risk cohort had greater scores of activated dendritic cells (aDCs), B cells, and T cell regulatory (Tregs) than low-risk cohort; in the meanwhile, high-risk cohort had lower scores of DCs and iDCs. Then, the high-risk cohort displayed greater scores in the immune functions of MHC class I, para-inflammation, and type I IFN response than those of low-risk cohort. Among 27 immune-inducible genes, the level of CD244, KIR3DLI, NRP1, PDCD1LG2, and TNFRSF8 was reduced in UCEC samples and the level of CD27, CD28, CD70, CD80, CD86, HAVCR2, ICOS, IDO1, LAIR1, PDCD1, TIGIT, TNFRSF18, -25, -9, -14, and VTCN1 was increased in UCEC samples. Conclusion. The key role of M6A-related lncRNAs in immune microenvironment in high-risk patients of UCEC. The patients with strong expression of LNCTAM34A have a good prognosis, and LNCTAM34A can be used as a prognostic gene for UCEC. m6A-related lncRNAs can be used as a potential treatment for UCEC. Our observations can be used as a hypothetical basis for future in vitro and animal experiments. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC).ObjectiveThis investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and treatment of uterine corpus endometrial cancer (UCEC).The UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/). There were 587 samples totally, containing 543 UCEC cases and 35 healthy cases. The clinical information of UCEC cases included survival time, survival status, gender, age, stage, and TMN stage. Twenty-three m6A-related genes were found in published journals. The RNA-seq documents of UCEC were downloaded in the Cancer Genome Atlas (TCGA). The hub gene data of UCEC were downloaded from GEPIA2 database. The different packages of R language were applied to calculate and analyze in this research.MethodThe UCEC RNA-seq data were downloaded in the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/). There were 587 samples totally, containing 543 UCEC cases and 35 healthy cases. The clinical information of UCEC cases included survival time, survival status, gender, age, stage, and TMN stage. Twenty-three m6A-related genes were found in published journals. The RNA-seq documents of UCEC were downloaded in the Cancer Genome Atlas (TCGA). The hub gene data of UCEC were downloaded from GEPIA2 database. The different packages of R language were applied to calculate and analyze in this research.Among 587 cases in our study, we discovered 3039 lncRNAs in the TCGA-UCEC database. After the differential analysis, 23 m6A-associated genetics were screened and twenty-one m6A-associated differential genetics were found. In the end, we obtained 20 m6A-related lncRNAs. LNCTAM34A was considered as a predictive gene through univariate and multivariate Cox regression analysis. In addition to the above, patients with high LNCTAM34A expression had better outcomes than those with low LNCTAM34A expression. The high-risk cohort had greater scores of activated dendritic cells (aDCs), B cells, and T cell regulatory (Tregs) than low-risk cohort; in the meanwhile, high-risk cohort had lower scores of DCs and iDCs. Then, the high-risk cohort displayed greater scores in the immune functions of MHC class I, para-inflammation, and type I IFN response than those of low-risk cohort. Among 27 immune-inducible genes, the level of CD244, KIR3DLI, NRP1, PDCD1LG2, and TNFRSF8 was reduced in UCEC samples and the level of CD27, CD28, CD70, CD80, CD86, HAVCR2, ICOS, IDO1, LAIR1, PDCD1, TIGIT, TNFRSF18, -25, -9, -14, and VTCN1 was increased in UCEC samples.ResultsAmong 587 cases in our study, we discovered 3039 lncRNAs in the TCGA-UCEC database. After the differential analysis, 23 m6A-associated genetics were screened and twenty-one m6A-associated differential genetics were found. In the end, we obtained 20 m6A-related lncRNAs. LNCTAM34A was considered as a predictive gene through univariate and multivariate Cox regression analysis. In addition to the above, patients with high LNCTAM34A expression had better outcomes than those with low LNCTAM34A expression. The high-risk cohort had greater scores of activated dendritic cells (aDCs), B cells, and T cell regulatory (Tregs) than low-risk cohort; in the meanwhile, high-risk cohort had lower scores of DCs and iDCs. Then, the high-risk cohort displayed greater scores in the immune functions of MHC class I, para-inflammation, and type I IFN response than those of low-risk cohort. Among 27 immune-inducible genes, the level of CD244, KIR3DLI, NRP1, PDCD1LG2, and TNFRSF8 was reduced in UCEC samples and the level of CD27, CD28, CD70, CD80, CD86, HAVCR2, ICOS, IDO1, LAIR1, PDCD1, TIGIT, TNFRSF18, -25, -9, -14, and VTCN1 was increased in UCEC samples.The key role of M6A-related lncRNAs in immune microenvironment in high-risk patients of UCEC. The patients with strong expression of LNCTAM34A have a good prognosis, and LNCTAM34A can be used as a prognostic gene for UCEC. m6A-related lncRNAs can be used as a potential treatment for UCEC. Our observations can be used as a hypothetical basis for future in vitro and animal experiments.ConclusionThe key role of M6A-related lncRNAs in immune microenvironment in high-risk patients of UCEC. The patients with strong expression of LNCTAM34A have a good prognosis, and LNCTAM34A can be used as a prognostic gene for UCEC. m6A-related lncRNAs can be used as a potential treatment for UCEC. Our observations can be used as a hypothetical basis for future in vitro and animal experiments. |
| Audience | Academic |
| Author | Xia, Yan Qin, Chun-Rong Lian, Bing Lin, Dan-huan Zhang, Meng-li Liu, Lu Xie, Bing-fan |
| AuthorAffiliation | The Reproductive Medical Center, Shenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical University, Guangzhou 518000, Guangdong Provine, China |
| AuthorAffiliation_xml | – name: The Reproductive Medical Center, Shenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical University, Guangzhou 518000, Guangdong Provine, China |
| Author_xml | – sequence: 1 givenname: Bing-fan surname: Xie fullname: Xie, Bing-fan organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 2 givenname: Yan surname: Xia fullname: Xia, Yan organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 3 givenname: Dan-huan surname: Lin fullname: Lin, Dan-huan organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 4 givenname: Bing surname: Lian fullname: Lian, Bing organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 5 givenname: Meng-li surname: Zhang fullname: Zhang, Meng-li organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 6 givenname: Lu surname: Liu fullname: Liu, Lu organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina – sequence: 7 givenname: Chun-Rong orcidid: 0000-0001-7230-3455 surname: Qin fullname: Qin, Chun-Rong organization: The Reproductive Medical CenterShenzhen Maternity and Child Healthcare Hospital The First School of Clinical Medicine Southern Medical UniversityGuangzhou 518000Guangdong ProvineChina |
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| CitedBy_id | crossref_primary_10_1038_s41420_025_02324_z crossref_primary_10_3390_cancers16142519 crossref_primary_10_1093_jnci_djad247 crossref_primary_10_1007_s12672_025_02422_5 |
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| Snippet | Objective. This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the... This investigation was to test the potential role of m6A-related long non-coding RNAs (lncRNAs) and immune infiltration as crucial factors in the diagnosis and... |
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| SubjectTerms | Analysis Animal research B cells Cancer Carcinoma Care and treatment CD27 antigen CD28 antigen CD70 antigen CD80 antigen CD86 antigen Dendritic cells Endometrial cancer Endometrium Epigenetics Genes Genetic aspects Genetics Genomes Genomics Infiltration Interferon Language Lymphocytes Lymphocytes B Lymphocytes T Major histocompatibility complex Mathematical analysis Medical prognosis Methyltransferases Microenvironments N6-methyladenosine Non-coding RNA Patients Periodical publishing Potassium channels (inwardly-rectifying) Regression analysis Ribonucleic acid Risk Risk groups RNA Survival Survival analysis T cells Uterine cancer Uterus |
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| Title | Pan-Cancer Gene Analysis of m6A Modification and Immune Infiltration in Uterine Corpus Endometrial Carcinoma |
| URI | https://dx.doi.org/10.1155/2022/6530884 https://www.proquest.com/docview/2722973960 https://www.proquest.com/docview/2722313307 https://pubmed.ncbi.nlm.nih.gov/PMC9529468 |
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