Suzheng Zheng

ORCID: 0009-0008-8507-9358
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About
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Research Areas
  • Cutaneous Melanoma Detection and Management
  • Nonmelanoma Skin Cancer Studies
  • AI in cancer detection
  • Cancer and Skin Lesions
  • Cervical Cancer and HPV Research
  • Head and Neck Cancer Studies
  • Cancer Immunotherapy and Biomarkers
  • Cancer Genomics and Diagnostics
  • Melanoma and MAPK Pathways
  • Immunotherapy and Immune Responses

First Affiliated Hospital of Jinan University
2023-2025

Jinan University
2024

Abstract Objective To explore the postoperative risk factors of Merkel cell carcinoma patients who have undergone surgical resection, and to construct a survival prognosis column chart. Method Patients diagnosed with underwent resection from 2000 2019 were selected surveillance, epidemiology, end results database. COX regression analysis was used screen for independent prognostic factors, chart constructed. The predictive performance evaluated using consistency index, receiver operating...

10.1515/med-2024-1103 article EN cc-by Open Medicine 2025-01-01

Background The survival and prognosis of patients are significantly threatened by cutaneous melanoma (CM), which is a highly aggressive disease. It therefore crucial to determine the most recent rate CM. This study used population-based cancer registry data examine 5-year relative CM in US. Methods Period analysis was assess trends with Surveillance, Epidemiology, End Results (SEER) database during 2004–2018. And based on stratified age, gender, race subtype SEER database, generalized linear...

10.3389/fendo.2023.1238086 article EN cc-by Frontiers in Endocrinology 2023-12-06

Abstract Background Utilizing the traditional Cox regression model to identify factors affecting risk of mortality due microinvasive cutaneous squamous cell carcinoma (micSCC) may produce skewed results. Since cause-specific can guide clinical decision-making, this study employed Fine-Gray based on Surveillance, Epidemiology, and End Results (SEER) database significant predictive variables for micSCC-related mortality. Methods This used information patients with micSCC who were listed in...

10.1186/s12874-023-02109-x article EN cc-by BMC Medical Research Methodology 2023-12-07

Constructing and validating two nomograms to predict the overall survival (OS) cancer-specific (CSS) in cutaneous squamous cell carcinoma (CSCC) correlated with human papillomavirus (HPV) infection was main goal of this study. We constructed predictive models for OS CSS incidence HPV infection-associated CSCC using information from 2238 patients Surveillance, Epidemiology, End Results (SEER) database screened variables by LASSO regression, Cox univariate multifactorial regression models,...

10.1111/cas.16392 article EN cc-by-nc Cancer Science 2024-11-11

Cutaneous squamous cell carcinoma (CSCC) represents a malignancy characterised by the aberrant proliferation of skin epithelial cells, and certain instances (SCC) exhibit features indicative heightened proclivity for recurrence, metastasis, mortality. Tracking latest survival rates CSCC is crucial patient care public health strategies.

10.1136/bmjopen-2024-086488 article EN cc-by-nc-nd BMJ Open 2024-12-01

<title>Abstract</title> Background Desmoplastic Malignant Melanoma (DMM) detection and mortality rates have significantly increased in recent years.There are currently no comprehensive epidemiological investigations of DMM incidence trends.This study aims to explain changes during a 15-year term (2005–2019). Methods Data on patients was sourced from the Surveillance, Epidemiology, End Results (SEER) database. Both incidence-based were directly extracted SEER Joinpoint regression used analyze...

10.21203/rs.3.rs-3319084/v1 preprint EN cc-by Research Square (Research Square) 2023-09-08
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