Encheng Zhang

ORCID: 0000-0002-9774-0982
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Research Areas
  • Epigenetics and DNA Methylation
  • Renal cell carcinoma treatment
  • Ferroptosis and cancer prognosis
  • Ubiquitin and proteasome pathways
  • Cancer-related gene regulation
  • Bladder and Urothelial Cancer Treatments
  • Cancer Genomics and Diagnostics
  • Cancer-related Molecular Pathways
  • RNA modifications and cancer
  • Cancer Immunotherapy and Biomarkers
  • Radiomics and Machine Learning in Medical Imaging
  • Cancer, Lipids, and Metabolism
  • AI in cancer detection
  • Biliary and Gastrointestinal Fistulas
  • Protein Degradation and Inhibitors
  • Inflammatory Biomarkers in Disease Prognosis
  • Renal and related cancers
  • Genomics and Chromatin Dynamics
  • Bone and Dental Protein Studies
  • Time Series Analysis and Forecasting
  • Microtubule and mitosis dynamics
  • Complex Systems and Time Series Analysis
  • Stock Market Forecasting Methods
  • HVDC Systems and Fault Protection
  • Gallbladder and Bile Duct Disorders

Shanghai Jiao Tong University
2017-2023

Shanghai First People's Hospital
2016-2023

Shenzhen Institute of Information Technology
2021

Dalian University of Technology
2016

It is of great urgency to explore useful prognostic markers for patients with clear cell renal carcinoma (ccRCC). Prognostic models based on ferroptosis-related gene (FRG) in ccRCC poorly reported now.

10.1186/s12885-021-09033-7 article EN cc-by BMC Cancer 2022-01-03

Abstract Traditional histopathology performed by pathologists the naked eye is insufficient for accurate and efficient diagnosis of bladder cancer (BCa). We collected 643 H&E‐stained BCa images from Shanghai General Hospital The Cancer Genome Atlas (TCGA). constructed cross‐verified automatic prognosis models performing a machine learning algorithm based on pathomics data. Our study indicated that high diagnostic efficiency learning‐based model was observed in patients with BCa, area...

10.1111/cas.14927 article EN Cancer Science 2021-05-01

Abstract Due to the complicated histopathological characteristics of renal neoplasms, traditional distinguishing clear cell carcinoma (ccRCC) by naked eyes experienced pathologist remains labor intensive and time consuming. Here, we extracted quantitative features hematoxylin‐eosin‐stained images using CellProfiler performed machine learning method develop verify a novel computational recognition digital pathology for diagnosis prognosis ccRCC patients in training, test external validation...

10.1002/ijc.33288 article EN International Journal of Cancer 2020-09-17

Deubiquitinating enzyme (DUB) can hydrolyze ubiquitin molecules from the protein bound with ubiquitin, and reversely regulate degradation. The ubiquitin-specific proteases (USP) family are cysteine proteases, which owns largest members diverse structure among currently known DUB. important roles of peptidase39 (USP39) in cancer have been widely investigated. However, little is about putative de-ubiquitination function USP39 hepatocellular carcinoma (HCC) mechanisms regulating tumor growth....

10.1016/j.cellsig.2021.110068 article EN cc-by-nc-nd Cellular Signalling 2021-06-29

SUMO‐specific protease 2 (SENP2) is a deSUMOylation that plays an important role in the regulation of transforming growth factor‐β (TGF‐β) signaling. Aberrant TGF‐β signaling common human cancers and contributes to tumor metastasis by inducing epithelial‐mesenchymal transition (EMT). In previous studies, we demonstrated SENP2 suppresses bladder cancer cell migration invasion. However, little known about whether inhibits EMT regulating progression. Here, investigated vitro vivo. We found...

10.1002/mc.22687 article EN Molecular Carcinogenesis 2017-06-02

It is of great urgency to explore useful prognostic markers and develop a robust model for patients with clear-cell renal cell carcinoma (ccRCC). Three independent patient cohorts were included in this study. We applied high-level neural network based on TensorFlow construct the by using deep learning algorithm. The learning-based (FB-risk) could perform well predicting survival status 5-year follow-up, which also significantly distinguish high overall risk three ccRCC pan-cancer cohort....

10.3389/fimmu.2022.798471 article EN cc-by Frontiers in Immunology 2022-02-07

Traditional histopathology performed by pathologists through naked eyes is insufficient for accurate survival prediction of bladder cancer (BCa). In addition, how neutrophil to lymphocyte ratio (NLR) could be used prognosis BCa patients has not been fully understood. this study, we collected 508 whole slide images (WSIs) hematoxylin–eosin strained slices and NLR value from the Shanghai General Hospital The Cancer Genome Atlas (TCGA), which were further processed nuclear segmentation....

10.3389/fonc.2021.703033 article EN cc-by Frontiers in Oncology 2021-06-17

Epithelial-mesenchymal transition (EMT) is an evolutionarily conserved developmental program that has been implicated in tumorigenesis and confers metastatic properties upon cancer cells. ZEB1 a master transcription factor activates the EMT process various cancers. reportedly degraded through ubiquitin proteasome pathway, but underlying molecular mechanism of this remains largely unknown hepatocellular carcinoma (HCC). Here, we identified as substrate CRL4-DCAF15 (DDB1 CUL4 associated 15) E3...

10.18632/aging.202823 article EN cc-by Aging 2021-04-04

Advanced renal cell carcinoma (RCC) poses a threat to patient survival. Epigenetic remodelling is the pathogenesis of cancer. Histone demethylase 4B (KDM4B) overexpressed in many cancers through various pathways. However, role KDM4B clear has not yet been elucidated. The differential expression was first verified by analysing public databases. fresh tissues and pathology slides further analysed western blotting immunohistochemical staining. overexpression knockdown lines were also...

10.1080/15592294.2023.2192319 article EN cc-by-nc Epigenetics 2023-03-23

Abstract Background Currently, there is no research available on the prognosis, potential effect and therapeutic value of USP31 in clear cell renal carcinoma (ccRCC). To address this gap, present study aimed to shed light its roles possible mechanisms ccRCC. Methods R software was utilized conduct bioinformatics analyses with data derived from The Cancer Genome Atlas (i.e. KIRC) Gene Expression Omnibus datasets. expression ccRCC validated by a PCR. independent prognostic ability evaluated...

10.1002/jgm.3594 article EN The Journal of Gene Medicine 2023-09-12

Recent studies have reported that MLST8 is upregulated in many malignant tumors. Nevertheless, the underlying molecular mechanism still unclear. The aim of this work was to investigate how contributes development and progression clear cell renal carcinoma (ccRCC). an oncogenic protein TCGA database ccRCC clinical specimens. We also ascertain interacts with FBXW7, which universally regarded as E3 ubiquitin ligase. can be degraded ubiquitinated by tumor suppressor FBXW7. FBXW7 recognizes a...

10.1111/cas.15188 article EN Cancer Science 2021-11-06

The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance discern mUC who could benefit from ICI clinical practice. In this study, we performed machine learning method and selected 10 prognostic genes for constructing immunotherapy response nomogram patients. calibration plot suggested that had an optimal agreement with actual observations when predicting 1- 1.5-year...

10.3389/fimmu.2020.01900 article EN cc-by Frontiers in Immunology 2020-08-25

The important role of N 6 -methyladenosine (m A) RNA methylation regulator in carcinogenesis and progression clear-cell renal cell carcinoma (ccRCC) is poorly understood by now. In this study, we performed comprehensive analyses m A regulators 975 ccRCC samples 332 adjacent normal tissues identified ccRCC-related regulators. Moreover, the diagnostic score based on could accurately distinguish from tissue Meta-cohort, which was further validated independent GSE-cohort Cancer Genome...

10.3389/fcell.2020.616972 article EN cc-by Frontiers in Cell and Developmental Biology 2021-01-21

In this paper, we propose a hybrid high order Type 2 fuzzy time series model by combining support vector machine (SVM) with adaptive expectation model. We use SVM to forecast the index of set predicted time. Particle swarm optimization (PSO) algorithm is used adjust lengths intervals universe discourse which are employed in forecasting. Moreover, also new method calculate weights sets for compensating presence bias Further, apply an modified forecasting value defuzzification stage. utilize...

10.1109/ccdc.2016.7532199 article EN 2016-05-01

This study aimed to explore the alteration of bile acid (BA) profiles in patients with choledocholithiasis (CDC) and construct a prediction model for evaluating risk common duct stone (CBDS) recurrence after endoscopic treatment.A total 320 (218 CDC 102 nonneoplastic polyps) were enrolled. The serum BA compared between groups. Both diagnostic score prognostic CBDS based on BAs established by least absolute shrinkage selection operator regression. A nomogram was developed combining clinical...

10.1002/jhbp.1287 article EN Journal of Hepato-Biliary-Pancreatic Sciences 2022-11-30

Abstract Background: Recent studies have reported that MLST8 is upregulated in many malignant tumors. Nevertheless, the underlying molecular mechanisms still unclear. The aim of this work was to investigate how contribute development and progression renal cancer (ccRCC).Methods: To identify mediators oncogenic tumor function MLST8, we analyzed a quantitative mass spectrometry by previous study checked amino acid sequence MLST8. Immunoprecipitation Western Blotting were used analyze...

10.21203/rs.3.rs-97872/v1 preprint EN cc-by Research Square (Research Square) 2020-10-30
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