Publications by authors named "Yetian Ruan"
The tumor microenvironment (TME) directly determines patients' outcomes and therapeutic efficiencies. An in-depth understanding of the TME is required to improve the prognosis of patients with cervical cancer (CC). This study conducted single-cell RNA and TCR sequencing of six-paired tumors and adjacent normal tissues to map the CC immune landscape.
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- The study aimed to analyze the prevalence and distribution of specific HPV types among women in Shanghai with different age groups and cervical lesions, focusing on the relationship between high-risk HPV (HR-HPV) and cervical cancer (CC).
- The results showed a high HPV prevalence of 45.57%, predominantly involving HR-HPV types 52, 16, and 58, with significant variations based on age and the type of cervical histology.
- The study concluded that while HR-HPV testing is sensitive, it lacks specificity, highlighting the need for improved cervical cancer screening methods and broader HPV vaccine coverage.
Background: Cervical cancer is an important public health problem. Conventional colposcopy is inefficient in the diagnosis of cervical lesions and massive biopsies result in trauma. There is an urgent need for a new clinical strategy to triage women with abnormal cervical screening results immediately and effectively.
View Article and Find Full Text PDFIntegration of high-risk human papillomavirus (HPV) into the host genome is a crucial event for the development of cervical cancer, however, the underlying mechanism of HPV integration-driven carcinogenesis remains unknown. Here, we performed long-read RNA sequencing on 12 high-grade squamous intraepithelial lesions (HSIL) and cervical cancer patients, including 3 pairs of cervical cancer and corresponding para-cancerous tissue samples to investigate the full-length landscape of cross-species genome integrations. In addition to massive unannotated isoforms, transcriptional regulatory events, and gene chimerism, more importantly, we found that HPV-human fusion events were prevalent in HPV-associated cervical cancers.
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- The study aims to create and assess a deep learning model for cervical screening using various types of cervical images from colposcopy, while also exploring how combining colposcopy with cytology and HPV tests can enhance screening efficacy.
- Involving 2160 women, the research utilized different cervical images obtained through various solutions, building separate deep learning models for each type and then combining them for a more comprehensive approach.
- The results showed that the combined models significantly outperformed individual testing methods, with the best model achieving an AUC of 0.845, highlighting the potential of integrating advanced imaging and traditional diagnostic tests for better cervical cancer detection.
HPV16-LINC00393 Integration Alters Local 3D Genome Architecture in Cervical Cancer Cells.
Front Cell Infect Microbiol
January 2022
High-risk human papillomavirus (hrHPV) infection and integration were considered as essential onset factors for the development of cervical cancer. However, the mechanism on how hrHPV integration influences the host genome structure remains not fully understood. In this study, we performed high-throughput chromosome conformation capture (Hi-C) sequencing, chromatin immunoprecipitation and sequencing (ChIP-seq), and RNA-sequencing (RNA-seq) in two cervical cells, 1) NHEK normal human epidermal keratinocyte; and 2) HPV16-integrated SiHa tumorigenic cervical cancer cells.
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- The study focuses on the domestic pig's brain, which is similar to humans, but its cellular compositions are not fully understood.
- Researchers analyzed the single-nucleus transcriptomic profiles from five brain regions and found 21 distinct cell subpopulations.
- The results include a first-ever single-cell atlas of the pig's cerebral cortex and hypothalamus, highlighting gene expression patterns related to neurological disorders and offering insights for future research in neuroscience and regenerative medicine.
Purpose: The primary aim of this study was to evaluate the diagnostic accuracy of colposcopy in identifying high-grade squamous intraepithelial lesion or worse (HSIL+) and the characteristic performance of colposcopic images with various severity levels of cervical lesions.
Methods: The medical records from 1828 women who underwent colposcopy at Affiliated Hospital of Tongji University from February 2016 to March 2019 were reviewed. Human papilloma virus (HPV) GenoArray test kit (HybriBio Ltd) and Thinprep cytologic test (TCT, Hologic, USA) were used to perform HPV genotyping and cytology.
Purpose: Cervical cancer is still one of the main causes of death in females. Conventional diagnostic tools such as colposcopy are still unsatisfactory, so accurate diagnostic tools for cervical diseases are needed. Therefore, the purpose of this study was to perform a clinical study to evaluate the value of microendoscopic imaging systems in the diagnosis of cervical precancerous lesions and cervical microinvasive carcinoma (MIC).
View Article and Find Full Text PDFBackground: Persistent infection with human papillomaviruses (HPVs) has been associated with cervical intraepithelial neoplasia (CIN) and cervical cancer. However, why only a fraction of HPV cases progress to cancer is still unclear.
Methods: We focused on the heterogeneity, classification, evolution and dispersal of variants for 14 common HPV types in 262 HPV-positive patients with cervical lesions.
Article Synopsis
- HPV16 mutations are linked to persistent infections and cervical lesions, but their functional effects are not well understood.
- A study identified 89 single nucleotide polymorphisms (SNPs) in HPV16, with significant mutations found in the E6 and E7 genes, particularly in high-grade lesions.
- Findings suggest that certain mutations could disrupt critical interactions with tumor suppressor proteins p53 and Rb, indicating potential new pathways for prevention and treatment of HPV16-related cervical cancer.