Single cells and TRUST4 reveal immunological features of the HFRS transcriptome DOI Creative Commons
Ran Xiao, Mu Lin, Hao Liu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 28, 2023

Abstract The pathogenesis of hemorrhagic fever with renal syndrome (HFRS) is greatly affected by different immune cells. At present, peripheral blood T cell receptor (TCR) or B (BCR) library sequencing HFRS still lacking and expensive. In this study, the computational method TRUST4 was used to construct TCR BCR libraries from a large number RNA-seq data patients, analyze clonality diversity disease libraries. Although function cells has been studied, mechanism remains complex. differentially expressed genes in each type cell-to-cell interactions between clusters have not covered. work, we clustered 11 subsets raw scRNA-seq disaggregated characteristic changes proportion under conditions. CellChat, cell-cell communication analysis tool, also effects MIF family, CD70 GALECTIN family cytokines, which are reported be involved subsets, respectively. HDWGCNA identified core occurrence development results trajectory showed that most were developmental stage, transcription factors Effector CD8+ (GZMH), (GZMK), It highly Naive CD4+ Our comprehensively illustrated dynamic during HFRS. This work identifies specific V J can extend our understanding These findings provide new insights into diagnosis treatment autoimmune disease.

Language: Английский

HPV E6/E7: insights into their regulatory role and mechanism in signaling pathways in HPV-associated tumor DOI
Peng Qiu,

Lujuan Wang,

Liang Zuo

et al.

Cancer Gene Therapy, Journal Year: 2023, Volume and Issue: 31(1), P. 9 - 17

Published: Dec. 15, 2023

Language: Английский

Citations

29

How can HPV E6 manipulate host cell differentiation process to maintain the reservoir of infection. DOI Creative Commons
Yuwen Chen, Nagayasu Egawa, Ke Zheng

et al.

Tumour Virus Research, Journal Year: 2025, Volume and Issue: unknown, P. 200313 - 200313

Published: Jan. 1, 2025

Language: Английский

Citations

1

Revolutionizing prognosis: Introducing cell death index (CDI) as a powerful prognostic tool for CSCC patients DOI Open Access
Rongjun Tang, Qing Yao, Ke Zhang

et al.

Environmental Toxicology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Abstract Background Cervical squamous cell carcinoma (CSCC) threatens the body health of women worldwide. This study aimed to foster a new concept prognostic indicator named death index (CDI). Methods RNA‐seq and scRNA‐seq datasets were downloaded from GEO TCGA database as training validation cohorts. Programmed (PCD)‐related gene signatures obtained published research. The construction model was performed based on CDI value. Patients with CSCC divided into high‐ low‐CDI groups. We explored differences in overall survival time, immune infiltration, mutation status, drug sensitivity between high low groups by R software. Results constructed calculate value 23 genes. have shorter time than those CDI. considered risk factor compared other characteristics. nomogram estimated (OS) at 1, 3, 6 years, age, Stage, CDI, indicating accuracy predicting 1‐, 3‐, 6‐year rates. values negatively correlated most checkpoint measured significant Mitoxantrone, Sabutoclax, Sepantronium bromide, Topotecan, BI‐2536, BMS‐754807 correlation. Conclusion investigation novel effective patients identified potential genes associated that could be targeted for prognosis treatment CSCC.

Language: Английский

Citations

0

B-cell signatures characterize the immune landscape and predict LUAD prognosis via the integration of scRNA-seq and bulk RNA-seq DOI Creative Commons
Kexin Xu, Di Han, Zhipeng Fan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 14, 2025

Lung adenocarcinoma (LUAD) is the most common type of lung cancer, accounting for approximately 35–40% cancers, and overall survival time patients with LUAD still very poor. B cells are important effector adaptive immunity, B-cell infiltration increases in various tumors. The role largely unknown. Therefore, it particularly to clarify LUAD. GSE164983, GSE50081, GSE37745 GSE30219 were obtained from GEO database. TCGA-LUAD dataset was TCGA UMAP used perform clustering descending subgroup identification on single-cell RNA-sequencing (scRNA-seq) data obtain markers. cohort differentially expressed genes (DEGs). B-cell-related (BRGs) identified through intersection markers DEGs. LASSO method identify characteristic BRGs construct a prognostic risk model. divided into high-risk low-risk groups based scores, immune landscape two evaluated. We also analyzed differences clinical characteristics, mutations, immunotherapy, drug sensitivity between groups. Thirty obtained, 6 identified. Based genes, model constructed. According model, groups: group group. Patients had worse outcomes shorter times. Low-risk better survival, while high TNM stage accounted greater proportion In addition, probability mutation immunotherapy response. Finally, we found different susceptibility profiles built good predictive performance, providing new perspective prognosis reference research.

Language: Английский

Citations

0

Prognostic Significance of CDK1 in Ovarian and Cervical Cancers DOI Creative Commons
Xu Cong, Chao‐Wen Chen, Yonghong Xu

et al.

Journal of Cancer, Journal Year: 2025, Volume and Issue: 16(5), P. 1656 - 1667

Published: Feb. 10, 2025

Background: Ovarian cancer (OC) and cervical (CC) are the leading causes of death among women. Therefore, identifying markers for early detection treatment is critical. CDK1 governs G2/M transition cell cycle a significant regulatory protein cycle. RO-3306 UBE2C related to expression might jointly facilitate development OC. CDK2 phosphorylate MLK3, which plays an important role in invasion proliferation OC cells. Furthermore, miR-490-3P targets restrains growth ovarian tumors. also crucial part progression CC. For instance, overexpression can rescue effect RCC1 knockdown, involved key processes, such as cytoplasmic transport, on G1 progression. Using bioinformatics analysis, we evaluated functional enrichment co-expressed gene these two cancers its impact their prognoses. Methods: First, screened public datasets OC- CC-associated DEGs identified intersecting genes. Enrichment analyses genes revealed biological pathways processes. We then generated protein-protein interaction networks identify central modules. Results: Additional that regulation germ maturation were primary processes regulated by core examined function CC, demonstrating association with particular immunological infiltration patterns. mutational burden, copy number variation, patient survival indicated may be useful prognostic marker. Finally, immunohistochemical examination confirmed some candidate clinical samples. Conclusion: These findings shed light molecular CC will aid identification novel future research regarding cancers, including diagnosis treatment.

Language: Английский

Citations

0

Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in Cancer DOI Open Access

Ai-xing Guan,

Camelia Quek

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(6), P. 2447 - 2447

Published: March 9, 2025

Advances in single-cell multi-omics technologies have deepened our understanding of cancer biology by integrating genomic, transcriptomic, epigenomic, and proteomic data at resolution. These provide unprecedented insights into tumour heterogeneity, microenvironment, mechanisms therapeutic resistance, enabling the development precision medicine strategies. The emerging field genomic has improved patient outcomes. However, most clinical applications still depend on bulk approaches, which fail to directly capture variations driving cellular heterogeneity. In this review, we explore common platforms discuss key analytical steps for integration. Furthermore, highlight knowledge resistance immune evasion, potential new innovations informed multi-omics. Finally, future directions application technologies. By bridging gap between technological advancements implementation, review provides a roadmap leveraging improve treatment

Language: Английский

Citations

0

Cervical function in pregnancy and disease: new insights from single-cell analysis DOI

ShanmugaPriyaa Madhukaran,

Yevgenia Y. Fomina,

Mala Mahendroo

et al.

American Journal of Obstetrics and Gynecology, Journal Year: 2025, Volume and Issue: 232(4), P. S81 - S94

Published: April 1, 2025

Language: Английский

Citations

0

Integrated single-cell RNA sequencing analysis reveals a mesenchymal stem cell-associated signature for estimating prognosis and drug sensitivity in gastric cancer DOI

Kaiyu Shen,

Binyu Chen, Wencang Gao

et al.

Journal of Cancer Research and Clinical Oncology, Journal Year: 2023, Volume and Issue: 149(13), P. 11829 - 11847

Published: July 6, 2023

Language: Английский

Citations

8

Extracellular cancer‑associated fibroblasts: A novel subgroup in the cervical cancer microenvironment that exhibits tumor‑promoting roles and prognosis biomarker functions DOI Open Access
Yuehan Wang,

Mingxia Xu,

Yeli Yao

et al.

Oncology Letters, Journal Year: 2024, Volume and Issue: 27(4)

Published: Feb. 22, 2024

Tumor invasion and metastasis are the processes that primarily cause adverse outcomes in patients with cervical cancer. Cancer‑associated fibroblasts (CAFs), which participate cancer progression metastasis, novel targets for treatment of tumors. The present study aimed to assess heterogeneity CAFs microenvironment through single‑cell RNA sequencing. After collecting five samples obtaining CAF‑associated gene sets, were divided into myofibroblastic extracellular (ec)CAFs. ecCAFs appeared more robust pro‑tumorigenic effects than myCAFs according enrichment analysis. Subsequently, combining ecCAF hub genes bulk expression data obtained from Cancer Genome Atlas Gene Ontology databases, univariate Cox regression least absolute shrinkage selection operator analyses performed establish a risk signature established demonstrated stable strong prognostic capability both training validation cohorts. association between clinical was evaluated, nomogram facilitate application established. score be associated tumor immune therapeutic responses. Moreover, also has predictive value prognosis head neck squamous cell carcinoma, bladder urothelial human papillomavirus infection. In conclusion, assessed microenvironment, subgroup may closely defined. based on shown have biomarker functionality terms predicting survival rates, therefore this CAF become target future.

Language: Английский

Citations

2

Selenadiazole-Induced Hela Cell Apoptosis through the Redox Oxygen Species-Mediated JAK2/STAT3 Signaling Pathway DOI Creative Commons

Yi Yuan,

Yinghua Li, Qinglin Deng

et al.

ACS Omega, Journal Year: 2024, Volume and Issue: 9(19), P. 20919 - 20926

Published: April 30, 2024

Cervical cancer is a significant global health concern, and novel therapeutic strategies are continually being sought to combat this disease. In recent years, selenadiazole found latent effects on tumors. Herein, investigating the mechanism of in Hela cells holds promise for advancing cervical treatment. cells, widely utilized model studying cancer, were treated with selenadiazole, cell viability was assessed by using counting kit-8 (CCK-8) assay. Changes mitochondrial membrane potential evaluated JC-1 staining, while apoptosis induction examined AnnexinV-PI double staining. Intracellular ROS levels measured specific fluorescent probes ELIASA system. Additionally, Western blotting performed assess activation related proteins response selenadiazole. Data analysis GraphPad. Exposure led substantial increase intracellular redox oxygen species (ROS) cells. Importantly, associated marked apoptosis, as evidenced elevated AnnexinV-positive monomer, caspase-9, Bcl-2. Furthermore, JAK2/STAT3 pathway observed following Selenadiazole suppress tumor growth increasing reactive inducing via pathway. This study offers valuable insights into therapies underscores need further research mechanisms

Language: Английский

Citations

2