Clinicopathological characteristics and prognosis of cervical cancer with different histological types: A population-based cohort study

Meng, Yifan; Chu, Tian; Lin, Shitong; Wu, Ping; Zhi, Wenhua; Peng, Ting; Ding, Wencheng; Luo, Danfeng; Wu, Peng

doi:10.1016/j.ygyno.2021.10.007

Cited by 13 publications

(8 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To fully characterize the cell composition of the cervical tissues, we collected CSCC samples from five patients for snRNA-seq (Figure 1A; Figure S1 and Table S1, Supporting Information). A total of 67,003 cells and 30,996 genes passed quality control (Figure 1B; Table S2, Supporting Information), from which we identified 14 cell types based on canonical cell markers (Figure 1B; Table S3, Supporting Information), including cancer cells (6,960), columnar epithelial cells (CECs; 22,396), endothelial cells (6,340), smooth muscle cells (4,502), fibroblasts (9,836), B cells (689), monocytes (5,281), T cells (4,930), regulatory T (Treg) cells (1,081), plasma cells (3,236), myeloid dendritic cells (DCs) (955), plasmacytoid DCs (272), mast cells (384), and natural killer (NK) cells (141). The uterine cervix contains two types of cells lining its surface: stratified squamous epithelial cells on the ectocervix and simple CECs on the endocervix and crypts.…”

Section: Snrna-seq Data Revealed the Cellular Composition Of Csccmentioning

confidence: 99%

“…[ 1 , 2 ] Approximately 70–80% of cervical cancers are squamous cell carcinoma, 20–25% are adenocarcinomas, and the rest are adenosquamous cell carcinomas and rare histological types, such as mesenchymal carcinoma, neuroendocrine carcinoma, glassy cell carcinoma, and undifferentiated carcinoma. [ 3 , 4 , 5 , 6 ] The proportion of pathological types of cervical cancer may vary depending on the popularization of human papillomavirus (HPV) vaccines and early screening strategies in specific regions. [ 2 ] Currently, over 12 types of HPVs are known to be carcinogenic.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Single‐Nucleus RNA Sequencing and Spatial Transcriptomics Reveal the Immunological Microenvironment of Cervical Squamous Cell Carcinoma

Lin

Qiu

et al. 2022

Advanced Science

Self Cite

View full text Add to dashboard Cite

The effective treatment of advanced cervical cancer remains challenging. Herein, single-nucleus RNA sequencing (snRNA-seq) and SpaTial enhanced resolution omics-sequencing (Stereo-seq) are used to investigate the immunological microenvironment of cervical squamous cell carcinoma (CSCC). The expression levels of most immune suppressive genes in the tumor and inflammation areas of CSCC are not significantly higher than those in the non-cancer samples, except for LGALS9 and IDO1. Stronger signals of CD56 + NK cells and immature dendritic cells are found in the hypermetabolic tumor areas, whereas more eosinophils, immature B cells, and Treg cells are found in the hypometabolic tumor areas. Moreover, a cluster of pro-tumorigenic cancer-associated myofibroblasts (myCAFs) are identified. The myCAFs may support the growth and metastasis of tumors by inhibiting lymphocyte infiltration and remodeling of the tumor extracellular matrix. Furthermore, these myCAFs are associated with poorer survival probability in patients with CSCC, predict resistance to immunotherapy, and might be present in a small fraction (< 30%) of patients with advanced cancer. Immunohistochemistry and multiplex immunofluorescence staining are conducted to validate the spatial distribution and potential function of myCAFs. Collectively, these findings enhance the understanding of the immunological microenvironment of CSCC and shed light on the treatment of advanced CSCC.

show abstract

Section: Snrna-seq Data Revealed the Cellular Composition Of Csccmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single‐Nucleus RNA Sequencing and Spatial Transcriptomics Reveal the Immunological Microenvironment of Cervical Squamous Cell Carcinoma

Lin

Qiu

et al. 2022

Advanced Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to cancer statistics, cervical cancer (CC) is one of the most common gynecologic malignancies worldwide and causes more than 570000 new cases and 311,000 deaths per year [ 46 ].Human papillomavirus (HPV) infection, premature or bad new life, and smoking are risk factors for cervical cancer [ 47 ]. In addition to radiotherapy, chemotherapy, and surgery, immunotherapy has gradually attracted much attention.…”

Section: Genital Systemmentioning

confidence: 99%

The role of long non-coding RNA FGD5-AS1 in cancer

Xiang

Chen

et al. 2022

Bioengineered

View full text Add to dashboard Cite

Long noncoding RNAs (lncRNAs) refers to a class of RNAs that have at least 200 nucleotides and do not encode proteins, and the relationship between lncRNA and cancer has recently attracted considerable research attention. The lncRNA FGD5-AS1 is a newly discovered lncRNA with a length of 3772 nucleotides. Studies have found that FGD5-AS1 is abnormally highly expressed in many cancer tissues and was closely related to the lymph node metastasis, tumor invasion, survival time, and recurrence rate of various cancers. Mechanistic analyses show that FGD5-AS1 can stabilize mRNA expression by sponging miRNA, which not only induces cancer cell proliferation, metastasis, invasion, and chemoresistance in vitro, but also promotes tumor growth and metastasis in vivo. In addition, FGD5-AS1 can serve as a diagnostic or prognostic marker for a variety of cancers. This review demonstrates the clinical significance of FGD5-AS1 in human cancer and its role in tumorigenesis and tumor progression.

show abstract

“…Cervical cancer (CC) is a serious health threat to females, and according to WHO data, CC is the fourth leading cause of cancer deaths among females, accounting for 342,000 deaths in 2020 ( Sung et al, 2021 ). The most common histological type of CC is squamous cell carcinoma that accounts for about 75% of all cases, followed by the second most common type of adenocarcinoma that accounts for 20% of all cases ( Meng et al, 2021 ). Unlike other cancers among females, effective measures including effective early screening and HPV vaccination could significantly reduce the incidence of CC and early targeted treatment ( Canfell et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

Liang

Liu

et al. 2023

Front. Pharmacol.

View full text Add to dashboard Cite

Background: Cervical cancer (CC) is a major health threat to females, and distal metastasis is common in patients with advanced CC. Anoikis is necessary for the development of distal metastases. Understanding the mechanisms associated with anoikis in CC is essential to improve its survival rate.Methods: The expression matrix of long non-coding RNAs (lncRNAs) from cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) patients was extracted from The Cancer Genome Atlas (TCGA), and highly relevant anoikis-related lncRNAs (ARLs) were identified by the single sample gene set enrichment analysis (ssGSEA) method. ARLs-related molecular subtypes were discerned based on prognosis-related ARLs. ARLs-related prognostic risk score (APR_Score) was calculated and risk model was constructed using LASSO COX and COX models. In addition, we also assessed immune cell activity in the immune microenvironment (TME) for both subtypes and APR_Score groups. A nomogram was utilized for predicting improved clinical outcome. Finally, this study also discussed the potential of ARLs-related signatures in predicting response to immunotherapy and small molecular drugs.Results: Three ARLs-related subtypes were identified from TCGA-CESC (AC1, AC2, and AC3), with AC3 patients having the highest ARG scores, higher angiogenesis scores, and the worst prognosis. AC3 had lower immune cell scores in TME but higher immune checkpoint gene expression and higher potential for immune escape. Next, we constructed a prognostic risk model consisting of 7-ARLs. The APR_Score exhibited a greater robustness as an independent prognostic indicator in predicting prognosis, and the nomogram was a valuable tool for survival prediction. ARLs-related signatures emerged as a potential novel indicator for immunotherapy and small molecular drug selection.Conclusion: We firstly constructed novel ARLs-related signatures capable of predicting prognosis and offered novel ideas for therapy response in CC patients.

show abstract

Clinicopathological characteristics and prognosis of cervical cancer with different histological types: A population-based cohort study

Cited by 13 publications

References 24 publications

Single‐Nucleus RNA Sequencing and Spatial Transcriptomics Reveal the Immunological Microenvironment of Cervical Squamous Cell Carcinoma

Single‐Nucleus RNA Sequencing and Spatial Transcriptomics Reveal the Immunological Microenvironment of Cervical Squamous Cell Carcinoma

The role of long non-coding RNA FGD5-AS1 in cancer

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

Contact Info

Product

Resources

About