Siteng Chen

Deep Learning-Based Multi-Cancer Analysis for Predicting Disease-Free Survival Across Multiple Cancer Types

Siteng Chen, Encheng Zhang, Fukang Sun, Feng Gao et autres

Background: Artificial intelligence-derived parameters hold substantial promise as indicators for tumor prognosis prediction and treatment guidance. However, existing studies have not sufficiently addressed the application of these parameters across different cancer types. Methods: We employed a deep learning algorithm to conduct a …

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Deep learning-based CD8+ T cell model for predicting prognosis and targeted immunotherapy benefit in ccRCC

Siteng Chen, Ning Zhang, Liren Jiang, Feng Gao et autres

Deep learning holds significant promise for improving clear cell renal cell carcinoma (ccRCC) diagnosis and treatment. However, studies concerning tumor microenvironment (TME) based on pathological images and artificial intelligence are very limited. In this multi-center cohort study, we developed a deep learning-based …

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GRPR-induced FAM135A expression promote perineural invasion in prostate cancer

Ning Zhang, Xiaohao Ruan, Siteng Chen, Ruofan Shi et autres

Perineural invasion (PNI) is an independent adverse prognostic marker for prostate cancer (PCa) metastasis. Gastrin releasing peptide receptor (GRPR) targeted imaging and therapeutics have entered clinical trials, while its role in PCa perineural invasion remains unclear. Here, we uncovered Family With Sequence …

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Loss of OBSCN expression promotes bladder cancer progression but enhances the efficacy of PD-L1 inhibitors

Tao Wang, Tuanjie Guo, Juanjuan Sun, Xinyue Zang et autres

Abstract Background As the objective overall response rate to immune checkpoint inhibitors (ICIs) is less than 30% in late stage or metastatic bladder cancer (BLCA), elucidating the intrinsic mechanisms of immune evasion is of great importance for the discovery of predictive and …

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GXYLT2: an emerging therapeutic target and predictive biomarker for anti-PD-1 efficacy in clear cell renal cell carcinoma

Tuanjie Guo, Jinyuan Chen, Xiangyin Tan, Heting Tang et autres

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SCGN recruits macrophages by regulating chemokine secretion in clear cell renal cell carcinoma

Tuanjie Guo, Xinchao Zhang, Xuan Wang, Heting Tang et autres

Immunotherapy is considered to be one of the most promising curative modalities for cancer, and the effectiveness of immunotherapy depends on the abundance of immune cells in the tumor microenvironment (TME). Immunotherapy tends to be more effective in "hot tumors" characterized by …

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Deep learning-based diagnosis and survival prediction of patients with renal cell carcinoma from primary whole slide images

Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang et autres

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Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images

Feng Gao, Liren Jiang, Tuanjie Guo, Jun Lin et autres

BACKGROUND: Metastasis renal cell carcinoma (RCC) patients have extremely high mortality rate. A predictive model for RCC micrometastasis based on pathomics could be beneficial for clinicians to make treatment decisions. METHODS: A total of 895 formalin-fixed and paraffin-embedded whole slide images (WSIs) …

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Dynamic changes of SCGN expression imply different phases of clear cell renal cell carcinoma progression

Tuanjie Guo, Xuan Wang, Tao Wang, Yang Liu et autres

The secretagogin (SCGN) was originally identified as a secreted calcium-binding protein present in the cytoplasm. Recent studies have found that SCGN has a close relationship with cancer. However, its role in the occurrence, progression, and prognosis of clear cell renal cell carcinoma …

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MP36-04 DEEP LEARNING-BASED MULTI-MODEL PREDICTION FOR DISEASE-FREE SURVIVAL STATUS OF PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA: A MULTICENTER STUDY

Siteng Chen, Junhua Zheng

You have accessJournal of UrologyKidney Cancer: Epidemiology & Evaluation/Staging/Surveillance I (MP36)1 May 2024MP36-04 DEEP LEARNING-BASED MULTI-MODEL PREDICTION FOR DISEASE-FREE SURVIVAL STATUS OF PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA: A MULTICENTER STUDY Siteng Chen and Junhua Zheng Siteng ChenSiteng Chen and Junhua …

Deep learning-based multi-model prediction for disease-free survival status of patients with clear cell renal cell carcinoma after surgery: a multicenter cohort study

Siteng Chen, Feng Gao, Tuanjie Guo, Liren Jiang et autres

BACKGROUND: Although separate analysis of individual factor can somewhat improve the prognostic performance, integration of multimodal information into a single signature is necessary to stratify patients with clear cell renal cell carcinoma (ccRCC) for adjuvant therapy after surgery. METHODS: A total of …

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Targeting lipid biosynthesis on the basis of conventional treatments for clear cell renal cell carcinoma: A promising therapeutic approach

Tuanjie Guo, Xinchao Zhang, Siteng Chen, Xu Wang et autres

A variety of cancer cells exhibit dysregulated lipid metabolism, characterized by excessive intracellular lipid accumulation, and clear cell renal cell carcinoma (ccRCC) is the most typical disease with these characteristics. As the most common malignancy of all renal cell carcinomas (RCCs), ccRCC …

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