Integrated Identification and Immunotherapy Response Analysis of the Prognostic Signature Associated With m6A, Cuproptosis‐Related, Ferroptosis‐Related lncRNA in Endometrial Cancer DOI Creative Commons

Yongkang Qian,

Hua‐Ling Chen, Pengcheng Miao

et al.

Cancer Reports, Journal Year: 2024, Volume and Issue: 7(9)

Published: Sept. 1, 2024

ABSTRACT Background Endometrial cancer (EC) stands as the predominant gynecological malignancy impacting female reproductive system on a global scale. N6‐methyladenosine, cuproptosis‐ and ferroptosis‐related biomarker is beneficial to prognostic of tumor patients. Nevertheless, correlation between m6A‐modified lncRNAs ferroptosis, copper‐induced apoptosis in initiation progression EC remains unexplored existing literature. Aims In this study, based bioinformatics approach, we identified co‐expressing with cuproptosis‐, ferroptosis‐, m6A‐ related from expression data EC. By constructing prognosis model EC, screened hub lncRNA signatures affecting Furthermore, guiding value (mfrlncRNA) features was assessed terms prognosis, immune microenvironment, drug sensitivity. Method Our research harnessed gene coupled clinical insights derived The Cancer Genome Atlas (TCGA) collection. To forge models, adopted five machine learning approaches, assessing their efficacy through C‐index time‐independent ROC analysis. We pinpointed indicators using LASSO Cox regression approach. Moreover, delved into biological immunological implications discovered signatures. Results survival rate for low‐risk group markedly higher than that high‐risk group, evidenced by significant log‐rank test ( p < 0.001). yielded concordance indices 0.76 training set 0.77 validation set, indicating reliable accuracy. Enrichment analysis functions linked signature predominantly endopeptidase inhibitor activity, highlighting signature's potential implications. Additionally, function density emphasized importance early diagnosis Conclusion Five were model. Those genes might be biomarkers provide valuable reference targeted therapy assessment

Language: Английский

Transferrin Receptor Promotes Endometrial Cancer Proliferation by Activating the Iron‐Dependent PI3K/AKT/mTOR Signaling Pathway DOI Creative Commons

Yufei Yang,

Ying Ning,

Yu Chen

et al.

Cancer Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

ABSTRACT Aberrant iron metabolism is frequently observed in cancers, including endometrial cancer (EC). However, the role of transferrin receptor (TFRC), a key regulator metabolism, remains unclear cancer. We found expression was significantly upregulated tissues compared to adjacent nontumor tissues, and high levels were associated with poor prognosis. Functional studies revealed that knockdown impaired cell proliferation vitro vivo, while overexpression enhanced proliferation. Mechanistically, activated PI3K/AKT/mTOR signaling pathway, as its suppressed rapamycin, an mTOR inhibitor, reversed receptor‐induced pathway activation Modulation labile pool by ferric ammonium citrate (FAC) or deferoxamine (DFO) rescued biological effects. Additionally, AURKA identified expression. These findings demonstrate oncogenic suggest targeting homeostasis may represent potential therapeutic strategies for

Language: Английский

Citations

1
Establishment of a prognostic signature and immune infiltration characteristics for uterine corpus endometrial carcinoma based on a disulfidptosis/ferroptosis-associated signature DOI Creative Commons
Yong Huang, Huibin Li, Zhifu Wei

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 27, 2025

Background Disulfidptosis and ferroptosis are two different programmed cell death pathways, their potential therapeutic targets have important clinical prospects. Although there is an association between the two, role of genes associated with these forms in development endometrial cancer remains unclear. Methods In this study, RNA sequencing (RNA-seq) data were obtained from public databases, comprehensive analysis methods, including difference analysis, univariate Cox regression, Least Absolute Shrinkage Selection Operator (LASSO) used to construct a disulfidptosis/ferroptosis-related (DFRGs) prognostic signature. To further explore new feature, pathway functional analyses performed, differences gene mutation frequency level immune infiltration high- low-risk groups studied. Finally, we validated expression profile samples. Results We identified five optimal DFRGs that differentially expressed prognosis uterine corpus carcinoma (UCEC). These include CDKN2A, FZD7, LCN2, ACTN4, MYH10. Based on DFRGs, constructed robust model significantly lower overall survival high-risk group than group, tumor burden invasion risk groups. The key genes, ACTN4 was verified by immunohistochemistry RT-qPCR. Conclusion This study established characteristics assessment disulfidptosis provides insights guide patient management personalized treatment.

Language: Английский

Citations

0
Weight Management for Fertility-Preservation Therapy in Endometrial Cancer: Opportunities and Challenges DOI
Xiaodan Li,

YiQian Chen,

Xiaowei Li

et al.

Current Oncology Reports, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Language: Английский

Citations

0
Exploring cell death pathways in oral cancer: mechanisms, therapeutic strategies, and future perspectives DOI Creative Commons

Chenyi Zhao

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 26, 2025

Oral squamous cell carcinoma (OSCC) represents a significant global health challenge, characterized by aggressive progression and poor therapeutic response despite advances in treatment modalities. This review provides comprehensive analysis of diverse death mechanisms OSCC, encompassing traditional pathways (apoptosis, autophagy, necrosis), newly (ferroptosis, pyroptosis, necroptosis), emerging (cuproptosis, anoikis, parthanatos, entosis). By examining the molecular basis these pathways, particularly crucial roles p53 signaling miRNA regulation, we highlight how their dysregulation contributes to resistance tumor progression. The synthesizes recent evidence demonstrating complex interplay between ten distinct impact on microenvironment immune response. We evaluate innovative approaches that target including novel small molecules, combination strategies, immunomodulatory treatments exploit specific enhance efficacy. Special attention is given personalized medicine strategies consider individual characteristics pathway profiles. integrating current challenges with future research directions, this framework for developing more effective can leverage multiple overcome therapy improve outcomes oral cancer patients.

Language: Английский

Citations

0
Relationship between Ferroptosis and Obesity in the Occurrence and Development of Endometrial Cancer DOI

世娇 李

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(04), P. 3109 - 3114

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integrated Identification and Immunotherapy Response Analysis of the Prognostic Signature Associated With m6A, Cuproptosis‐Related, Ferroptosis‐Related lncRNA in Endometrial Cancer DOI Creative Commons

Yongkang Qian,

Hua‐Ling Chen, Pengcheng Miao

et al.

Cancer Reports, Journal Year: 2024, Volume and Issue: 7(9)

Published: Sept. 1, 2024

ABSTRACT Background Endometrial cancer (EC) stands as the predominant gynecological malignancy impacting female reproductive system on a global scale. N6‐methyladenosine, cuproptosis‐ and ferroptosis‐related biomarker is beneficial to prognostic of tumor patients. Nevertheless, correlation between m6A‐modified lncRNAs ferroptosis, copper‐induced apoptosis in initiation progression EC remains unexplored existing literature. Aims In this study, based bioinformatics approach, we identified co‐expressing with cuproptosis‐, ferroptosis‐, m6A‐ related from expression data EC. By constructing prognosis model EC, screened hub lncRNA signatures affecting Furthermore, guiding value (mfrlncRNA) features was assessed terms prognosis, immune microenvironment, drug sensitivity. Method Our research harnessed gene coupled clinical insights derived The Cancer Genome Atlas (TCGA) collection. To forge models, adopted five machine learning approaches, assessing their efficacy through C‐index time‐independent ROC analysis. We pinpointed indicators using LASSO Cox regression approach. Moreover, delved into biological immunological implications discovered signatures. Results survival rate for low‐risk group markedly higher than that high‐risk group, evidenced by significant log‐rank test ( p < 0.001). yielded concordance indices 0.76 training set 0.77 validation set, indicating reliable accuracy. Enrichment analysis functions linked signature predominantly endopeptidase inhibitor activity, highlighting signature's potential implications. Additionally, function density emphasized importance early diagnosis Conclusion Five were model. Those genes might be biomarkers provide valuable reference targeted therapy assessment

Language: Английский

Citations

0