A5084302843- Cervical Cancer and HPV Research
- Endometrial and Cervical Cancer Treatments
- Cancer Immunotherapy and Biomarkers
- Ovarian cancer diagnosis and treatment
- Uterine Myomas and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Circular RNAs in diseases
- Cancer-related molecular mechanisms research
- Immune Cell Function and Interaction
- Cancer Mechanisms and Therapy
- Pregnancy-related medical research
- Tryptophan and brain disorders
- Neurological Disease Mechanisms and Treatments
- AI in cancer detection
- Biomarkers in Disease Mechanisms
- Immune cells in cancer
- Glioma Diagnosis and Treatment
- MicroRNA in disease regulation
- Gynecological conditions and treatments
- Immunotherapy and Immune Responses
- Medical Research and Treatments
- Embedded Systems and FPGA Applications
- Ferroptosis and cancer prognosis
- Endometriosis Research and Treatment
- Cancer-related Molecular Pathways
Obstetrics and Gynecology Hospital of Fudan University
2020-2023
State Key Laboratory of Oncogene and Related Genes
2020-2023
Shanghai Medical College of Fudan University
2020-2021
Fudan University
2021
Shanghai Jiao Tong University
2015
Abstract Background The mechanism underlying cervical carcinogenesis that is mediated by persistent human papillomavirus (HPV) infection remains elusive. Aims Here, for the first time, we deciphered both temporal transition and spatial distribution of cellular subsets during disease progression from normal cervix tissues to precursor lesions cancer. Materials & Methods We generated scRNA‐seq profiles transcriptomics data nine patient samples, including two HPV‐negative normal,...
Cervical adenocarcinomas (ADCs), including human papillomavirus (HPV)-associated (HPVA) and non-HPVA (NHPVA), though exhibiting a more malignant phenotype poorer prognosis, are treated identically to squamous cell carcinoma (SCC). This clinical dilemma requires deeper investigation into their differences. Herein transcriptomic atlas of SCC, HPVA, NHPVA-ADC using single-cell RNA (scRNA) T-cell receptor sequencing (TCR-seq) is presented. Regarding structural cells, the malignancy origin...
Abstract Background Cervical cancer (CC) is the fourth most common in women worldwide. Although immunotherapy has been applied clinical practice, its therapeutic efficacy remains far from satisfactory, necessitating further investigation of mechanism CC immune remodeling and exploration novel treatment targets. This study aimed to investigate explore potential Methods We conducted single‐cell RNA sequencing on a total 17 specimens, including normal cervical tissues, high‐grade squamous...
Machine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model reported survival site-specific recurrence simultaneously. Thus, we aimed develop ML models in CC guide individual surveillance.
Various predictive biomarkers are needed to select candidates for optimal and individualized treatments. Tumor‐infiltrating immune cells have gained increasing interest in cancer research the prediction of therapeutic response survival. However, role dendritic (DCs) PD-1 blockade immunotherapy remains unclear. In this study, we identified a population PD-1+ DCs tumor microenvironment (TME) cervical (CC). The accumulation tumors was correlated with advanced stages, elevated preoperative...
Circular RNAs (circRNAs) are novel type of noncoding that play important roles and serve as noninvasive biomarkers in various cancers. In the present study, we focused on circFoxO3a aimed to investigate its prognostic value a serum biomarker for squamous cervical cancer (SCC).Our study included 103 SCC patients from Obstetrics Gynecology Hospital Fudan University. Expression levels with were examined by reverse transcription‑quantitative PCR (RT‑qPCR). The correlation between expression...
Cervical cancer has high mortality, recurrence and poor prognosis. Although prognostic biomarkers such as clinicopathological features have been proposed, their accuracy precision are far from satisfactory. Therefore, novel urgently needed for disease surveillance, prognosis prediction treatment selection.Differentially expressed genes (DEGs) between cervical normal tissues three microarray datasets extracted the Gene Expression Omnibus platform were identified screened. Based on these DEGs,...
To compare survival outcomes of minimally invasive surgery (MIS) and laparotomy in early-stage cervical cancer (CC) patients.A multicenter retrospective cohort study was conducted with International Federation Gynecology Obstetrics (FIGO, 2009) stage IA1 (lymphovascular invasion)-IIA1 CC patients undergoing MIS or at four tertiary hospitals from 2006 to 2017. Propensity score matching weighting multivariate Cox regression analyses were performed. Survival compared various matched cohorts...
Abstract Background Considering the unique biological behavior of cervical adenocarcinoma (AC) compared to squamous cell carcinoma, we now lack a distinct method assess prognosis for AC patients, especially intermediate-risk patients. Thus, sought establish Silva-based model predict recurrence specific patients and guide adjuvant therapy. Methods 345 were classified according Silva pattern, their clinicopathological data survival outcomes assessed. Among them, 254 with only factors...
Objective To compare the characteristics, surgical complications, and overall survival between patients undergoing laparoscopy versus laparotomy for treatment of early-stage cervical stump carcinoma. Methods Patients with International Federation Gynecology Obstetrics (FIGO, 2009) stage IA2 to IIA2 carcinoma who underwent or in Hospital Fudan University from January 2000 June 2018 were retrospectively reviewed. All patients’ clinical pathological features, follow-up data retrieved. Results...
<sec> <title>BACKGROUND</title> Machine learning (ML) has been gradually applied to cervical cancer research, but rarely combines both clinical parameters and image data. Meanwhile, more robust accurate preoperative assessment of parametrial invasion lymph node metastasis, as well postoperative prognosis prediction are also in urgent need. </sec> <title>OBJECTIVE</title> We aimed develop an integrated ML model that integrates clinicopathological MR images includes pre- post-operation...
Endocervical adenocarcinoma (EAC) is an aggressive type of endocervical cancer. At present, molecular research on EAC mainly focuses the genome and mRNA transcriptome, investigation small RNAs in has not been fully described. Here, we systematically explored 14 patients with different subtypes using RNA sequencing. MiRNAs tRNA-derived (tDRs) accounted for majority mapped reads total number miRNAs tDRs maintained a relative balance. To explore correlations between expression clinical...
Abstract Background: Considering the unique biological behavior of cervical adenocarcinoma (AC) compared to squamous cell carcinoma, we now lack a distinct method assess prognosis for AC patients, especially intermediate-risk patients. Thus, sought establish Silva-based model predict recurrence specific patients and guide adjuvant therapy. Methods: 345 were classified according Silva pattern, their clinicopathological data survival outcomes assessed. Among them, 254 with only factors...
Background: Machine learning (ML) has been gradually integrated into oncologic research, but seldom applied in prediction of cervical cancer (CC), and no model reported to predict survival site-specific recurrence simultaneously. Thus, we aimed develop ML models CC guide individual surveillance.Methods: We retrospectively collected data on patients with FIGO (2009) stage IA1 (lymphovascular invasion) IIB2 who underwent radical hysterectomy from 2006 2017 four hospitals. The or predictive...