Publications by authors named "Junhang Luo"

Background: Clear cell renal cell carcinoma (ccRCC) represents the most prevalent subtype, accounting for nearly 80% of all RCC cases. Recent research has shown that high expression of circular non-coding RNA (circRNA) is associated with poor prognosis in patients with renal clear cell carcinoma (ccRCC), however, the underlying mechanism remains unclear.

Methods: After analysing self-sequenced renal cancer and paracancer circRNA sequencing data and comparing it with the GEO public database, we discovered that circASAP1 expression was significantly up-regulated in renal cancers.

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The impact of amino acids on tumor immunotherapy is gradually being uncovered. In this study, we screened various essential and non-essential amino acids and found that methionine enhances mRNA methylation and reduced the activation of Type I interferon pathway in bladder cancer. Through RNA sequencing, point mutations, MB49 mouse tumor models, and single-cell RNA sequencing, we demonstrated that high methionine levels elevate the expression of mA reader YTHDF1, promoting the degradation of RIG-I, thereby inhibiting the RIG-I/MAVS-mediated IFN-I pathway and reducing the efficacy of tumor immunotherapy.

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Background: Natural killer cells, interconnected with patient prognosis and treatment response, play a pivotal role in the tumor immune microenvironment and may serve as potential novel predictive biomarkers for renal cell carcinoma.

Methods: Clear cell renal cell carcinoma transcriptome data and the corresponding clinical data were obtained from the Cancer Genome Atlas (TCGA) database. Single-cell sequencing data were sourced from the Gene Expression Omnibus (GEO) database.

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Article Synopsis
  • A new multi-classifier system combines lncRNA, deep learning from whole slide images, and clinicopathological data to improve predictions of recurrence in localized papillary renal cell carcinoma (pRCC) after surgery.
  • *The system shows significantly better predictive accuracy for recurrence-free survival (RFS) than using any single classifier alone, with C-index values ranging from 0.831 to 0.858.
  • *This method helps identify high-risk patients more accurately, allowing for individualized treatment strategies alongside the current cancer staging system.
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Background: Lymphatic metastasis is the major challenge in the treatment of penile cancer. The prognosis of individuals with lymphatic metastasis is extremely poor. Therefore, early identification of disease progression and lymphatic metastasis is an urgent task for researchers in penile cancer worldwide.

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Cisplatin resistance is a major challenge for systemic therapy against advanced bladder cancer (BC). Little information is available on the regulation of cisplatin resistance and the underlying mechanisms require elucidation. Here, we detected that downregulation of the tumor suppressor, PPP2R2B (a serine/threonine protein phosphatase 2 A regulatory subunit), in BC promoted cell proliferation and migration.

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Background: Existing studies have found that circular RNAs (circRNAs) act as sponges for micro RNAs (miRNAs) to control downstream genes. However, the specific functionalities and mechanisms of circRNAs in human clear cell renal cell carcinoma (ccRCC) have yet to be thoroughly investigated.

Methods: Patient cohorts from online databases were used to screen candidate circRNAs, while another cohort from our hospital was obtained for validation.

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Article Synopsis
  • The study investigates how well machine learning can predict systemic inflammatory response syndrome (SIRS) and urosepsis in patients after percutaneous nephrolithotomy (PCNL).
  • Researchers analyzed data from 1,067 patients who had PCNL between 2016 and 2022, using machine learning to create a risk prediction model.
  • They found that significant changes in platelet counts before and after the procedure were key predictors, with a model showing high predictive power for identifying patients at risk of SIRS or urosepsis.
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Background: TFE3 immunohistochemistry (TFE3-IHC) is controversial in the diagnosis of TFE3-rearranged renal cell carcinoma (TFE3-rearranged RCC). This study is to investigate the accuracy and sensitivity of IHC and establish a predictive model to diagnose TFE3-rearranged RCC.

Methods: Retrospective analysis was performed by collecting IHC and fluorescence in situ hybridization (FISH) results from 228 patients.

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The tumour microenvironment (TME) drives bladder cancer (BLCA) progression. Targeting the TME has emerged as a promising strategy for BLCA treatment in recent years. Furthermore, checkpoint blockade therapies are only beneficial for a minority of patients with BLCA, and drug resistance is a barrier to achieving significant clinical effects of anti-programmed cell death protein-1 (PD-1)/programmed death protein ligand-1 (PD-L1) therapy.

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Unlabelled: The tumor microenvironment (TME) in renal cell carcinomas (RCC) is marked by substantial immunosuppression and immune resistance despite having extensive T-cell infiltration. Elucidation of the mechanisms underlying immune evasion could help identify therapeutic strategies to boost the efficacy of immune checkpoint blockade (ICB) in RCC. This study uncovered a mechanism wherein the polyadenylate-binding protein PABPC1L modulates indoleamine 2,3-dioxygenase 1 (IDO1), a prospective target for immunotherapy.

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Background: Penile squamous cell carcinoma (PSCC) is a human papillomavirus (HPV)-associated malignancy. Immunotherapy is emerging as a potential treatment for advanced PSCC. In this study, the authors analyzed the association of HPV status with outcomes and the immune microenvironment in patients with advanced PSCC undergoing programmed cell death protein 1 (PD1) inhibitor-based combination therapy (PCT).

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Objective: DNA methylation alterations are early events in carcinogenesis and immune signalling in lung cancer. This study aimed to develop a model based on short stature homeobox 2 gene ()/prostaglandin E receptor 4 gene () DNA methylation in plasma, appearance subtype of pulmonary nodules (PNs) and low-dose computed tomography (LDCT) images to distinguish early-stage lung cancers.

Methods: We developed a multimodal prediction model with a training set of 257 individuals.

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Background: Immune checkpoint inhibitor (ICI) therapy improves the survival of patients with advanced bladder cancer (BLCA); however, its overall effectiveness is limited, and many patients still develop immunotherapy resistance. The leucine-rich repeat and fibronectin type-III domain-containing protein (LRFN) family has previously been implicated in regulating brain dysfunction; however, the mechanisms underlying the effect of LRFN2 on the tumor microenvironment (TME) and immunotherapy remain unclear.

Methods: Here we combined bulk RNA sequencing, single-cell RNA sequencing, ProcartaPlex multiple immunoassays, functional experiments, and TissueFAXS panoramic tissue quantification assays to demonstrate that LRFN2 shapes a non-inflammatory TME in BLCA.

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Metabolic fitness of T cells is essential for their vitality, which is largely dependent on the behavior of the mitochondria. The nature of mitochondrial behavior in tumor-infiltrating T cells remains poorly understood. In this study, we show that mitofusin-2 (MFN2) expression is positively correlated with the prognosis of multiple cancers.

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Purpose: There are undetectable levels of fat in fat-poor angiomyolipoma. Thus, it is often misdiagnosed as renal cell carcinoma. We aimed to develop and evaluate a multichannel deep learning model for differentiating fat-poor angiomyolipoma (fp-AML) from renal cell carcinoma (RCC).

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Article Synopsis
  • Numerous studies link aging with the progression of prostate cancer (PCa), but this research is the first to explore the specific characteristics of the aging microenvironment (AME) in PCa and create an aging microenvironment index (AMI) that predicts patient outcomes and responses to immunotherapy.
  • The study identified three distinct AME regulatory patterns in 813 PCa patients, revealing their connection to different clinical prognoses and physiological pathways; higher AMI scores were linked to more immune cell infiltration, increased biochemical recurrence, and poorer responses to treatments.
  • Additionally, in lab experiments, combining bicalutamide and embelin effectively reduced PCa tumor growth, while the main
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Background: The incidence of renal cell carcinoma (RCC) has increased in recent years. Metastatic RCC is common and remains a major cause of mortality. A regulatory role for circular RNAs (circRNAs) in the occurrence and progression of RCC has been identified, but their function, molecular mechanisms, and potential clinical applications remain poorly understood.

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Pheochromocytoma/paraganglioma (PPGL) is an endocrine-related tumor associated with excessive catecholamine release and has limited treatment options once metastasis occurs. Although recent phase 2 clinical trials of immune checkpoint inhibitors in the treatment of PPGL have preliminarily shown promising results, the fundamentals of immunotherapy for PPGL have not yet been established. In the early research, using bulk RNA sequencing of tumor samples from 7 PPGL patients, we found that PPGL tumor tissues exhibited high PD-L1 mRNA expression compared with adjacent normal adrenal medulla tissues, and this was related to T-cell exhaustion biomarkers.

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Article Synopsis
  • A novel assay was developed to predict recurrence in patients with localised renal cell carcinoma after surgery, integrating clinical, genomic, and histopathological data.
  • A deep learning-based histopathological score was combined with scores from genetic and clinical factors to create a more accurate multimodal recurrence score.
  • This new score showed significantly better predictive accuracy for recurrence-free intervals (RFI) compared to traditional methods, especially identifying high-risk patients, demonstrating its potential for improving patient management post-surgery.
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Clear cell Renal Cell Carcinoma (ccRCC) is a highly heterogeneous disease, making it challenging to predict prognosis and therapy efficacy. In this study, we aimed to explore the role of 5-methylcytosine (m5C) RNA modification in ccRCC and its potential as a predictor for therapy response and overall survival (OS). We established a novel 5-methylcytosine RNA modification-related gene index (M5CRMRGI) and studied its effect on the tumor microenvironment (TME) using single-cell sequencing data for in-depth analysis, and verified it using spatial sequencing data.

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Background: Clear cell renal cell carcinoma (ccRCC) is the most lethal renal cancer. An overwhelming increase of patients experience tumor progression and unfavorable prognosis. However, the molecular events underlying ccRCC tumorigenesis and metastasis remain unclear.

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Background: Clear cell renal cell carcinoma (ccRCC) is a highly invasive and metastatic subtype of kidney malignancy and is correlated with metabolic reprogramming for adaptation to the tumor microenvironment comprising infiltrated immune cells and immunomodulatory molecules. The role of immune cells in the tumor microenvironment (TME) and their association with abnormal fatty acids metabolism in ccRCC remains poorly understood.

Method: RNA-seq and clinical data of KIRC from The Cancer Genome Atlas (TCGA) and E-MTAB-1980 from the ArrayExpress dataset.

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Metastasis is the main cause of mortality in renal cell carcinoma (RCC). Circular RNAs (circRNAs) involvement in RCC metastasis has been described, although the underlying mechanisms remain unknown. We evaluated recurring lung-metastasis cases using patient-derived xenograft models and isolated a highly metastatic clone.

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Article Synopsis
  • Immune checkpoint inhibitors (ICI) are now the primary treatment for advanced renal cell carcinoma (RCC), though few biomarkers exist to forecast patient responses to this therapy.
  • This study analyzed mutation patterns in RCC patients from two large ICI therapy cohorts to develop a gene mutation prognostic indicator for better predicting treatment outcomes.
  • A 10-gene mutation classifier was created, effectively distinguishing high-risk patients with significantly lower survival rates compared to low-risk patients, specifically validating its predictive capabilities for ICI therapy but not for non-ICI treatments.
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