Jun Hu’s research while affiliated with Nanjing Medical University and other places

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Publications (18)


Unmixing Detrital Zircon U-Pb Age Distribution Based on Multi-objective Optimization
  • Chapter

November 2024

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14 Reads

Zhihao Deng

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Guanyu Chen

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[...]

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Quanyu Wang





Flowchart of patient selection. CRN, cytoreductive radical nephrectomy; msRCC, metastatic sarcomatoid renal cell carcinoma.
Forest plot of the results of multivariate Cox regression analysis. *p < 0.05, ***p < 0.001
Comparison of overall survival and cancer-specific survival between CRN and non-CRN groups. (A, C) OS and CSS of the 2 groups before PSM. (B, D) OS and CSS of the 2 groups after PSM.
Prediction nomogram for assessing the probability that a patient with metastatic sarcomatoid renal cell carcinoma may benefit from CRN. The probability of each variable was converted into scores and summed to obtain the total score. The cutoff point of the nomogram was 0.5, and a patient was assumed to benefit from CRN if the total prediction probability was >0.5.
Receiver operating characteristic curve of the nomogram in the training, internal validation, and external validation sets.

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Establishment and validation of a nomogram to select patients with metastatic sarcomatoid renal cell carcinoma suitable for cytoreductive radical nephrectomy
  • Article
  • Full-text available

October 2023

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30 Reads

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1 Citation

Introduction Metastatic renal cell carcinoma (mRCC) with sarcomatoid features has a poor prognosis. Cytoreductive radical nephrectomy (CRN) can improve prognosis, but patient selection is unclear. This study aimed to develop a prediction model for selecting patients suitable for CRN. Materials and methods Patients with a diagnosis of mRCC with sarcomatoid features in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 were retrospectively reviewed. CRN benefit was defined as a survival time longer than the median overall survival (OS) in patients who did not receive CRN. A prediction nomogram was established and validated using the SEER cohort (training and internal validation) and an external validation cohort. Results Of 900 patients with sarcomatoid mRCC, 608 (67.6%) underwent CRN. OS was longer in the CRN group than in the non-CRN group (8 vs. 6 months, hazard ratio (HR) = 0.767, p = 0.0085). In the matched CRN group, 124 (57.7%) patients survived >6 months after the surgery and were considered to benefit from CRN. Age, T-stage, systematic therapy, metastatic site, and lymph nodes were identified as independent factors influencing OS after CRN, which were included in the prediction nomogram. The monogram performed well on the training set (area under the receiver operating characteristic (AUC) curve = 0.766, 95% confidence interval (CI): 0.687–0.845), internal validation set (AUC = 0.796, 95% CI: 0.684–0.908), and external validation set (AUC = 0.911, 95% CI: 0.831–0.991). Conclusions A nomogram was constructed and validated with good accuracy for selecting patients with sarcomatoid mRCC suitable for CRN.

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An anoikis-related gene signature for prediction of the prognosis in prostate cancer

August 2023

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18 Reads

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7 Citations

Purpose This study presents a novel approach to predict postoperative biochemical recurrence (BCR) in prostate cancer (PCa) patients which involves constructing a signature based on anoikis-related genes (ARGs). Methods In this study, we utilised data from TCGA-PARD and GEO databases to identify specific ARGs in prostate cancer. We established a signature of these ARGs using Cox regression analysis and evaluated their clinical predictive efficacy and immune-related status through various methods such as Kaplan-Meier survival analysis, subject work characteristics analysis, and CIBERSORT method. Our findings suggest that these ARGs may have potential as biomarkers for prostate cancer prognosis and treatment. To investigate the biological pathways of genes associated with anoikis, we utilised GSVA, GO, and KEGG. The expression of ARGs was confirmed by the HPA database. Furthermore, we conducted PPI analysis to identify the core network of ARGs in PCa. Results Based on analysis of the TCGA database, a set of eight ARGs were identified as prognostic signature genes for prostate cancer. The reliability and validity of this signature were well verified in both the TCGA and GEO codifications. Using this signature, patients were classified into two groups based on their risk for developing BCR. There was a significant difference in BCR-free time between the high and low risk groups (P < 0.05).This signature serves as a dependable and unbiased prognostic factor for predicting biochemical recurrence (BCR) in prostate cancer (PCa) patients. It outperforms clinicopathological characteristics in terms of accuracy and reliability. PLK1 may play a potential regulatory role as a core gene in the development of prostate cancer. Conclusion This signature suggests the potential role of ARGs in the development and progression of PCa and can effectively predict the risk of BCR in PCa patients after surgery. It also provides a basis for further research into the mechanism of ARGs in PCa and for the clinical management of patients with PCa.



Solving Class Imbalance Problem in Target Detection with a Squared Cross Entropy Based Method

July 2023

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5 Reads

Lecture Notes in Computer Science

The foreground-background class imbalance in target detection is inevitable, which is caused by the training data set. Specifically, the number of targets contained in any image of the training data set is generally very small, that is, the number of positive examples is small, while the number of the negative examples from the background is large. Therefore, the ability of the algorithm to detect the negatives is stronger than that of positive examples. The Focal Loss algorithm solves this problem by improving the classification loss function. However, Focal Loss brings additional hyper-parameters, which remains to be further adjusted. This paper refers to the idea of Focal Loss from the classification loss function, and proposes new a classification loss function SCE that is similar to Focal Loss but does not contain any extra hyper-parameters. Experiments in the paper prove that SCE can obtain performance equivalent to Focal Loss without introducing hyper-parameters.KeywordsTarget detectionCross entropyLoss functionClass Imbalance



Citations (4)


... Therefore, there is an urgent need to find new and effective biomarkers or treatment targets for LUAD patients. Anoikis resistance is a critical factor influencing the progression and metastasis of various cancers, including lung cancer, gastric cancer, colorectal cancer, breast cancer, and prostate cancer, among others [26][27][28]. This resistance enables tumor cells to survive detachment from the extracellular matrix, facilitating their dissemination to distant sites. ...

Reference:

Multicenter cohort analysis of anoikis and EMT: implications for prognosis and therapy in lung adenocarcinoma
An anoikis-related gene signature for prediction of the prognosis in prostate cancer

... Interestingly, liquid-liquid phase separation (LLPS) experiments have shown that 14-3-3's binding specically inhibits the aggregation of hyperphosphorylated Tau under phase separation conditions. 56,57 To explore potential 14-3-3 binding sites we sought to apply histidine-trapping to the 14-3-3/hyperphosphorylated Tau complex. First we optimized reaction conditions using the bivalent Tau peptide by; (1) reducing the crosslinker concentration to equimolar relative to 14-3-3s, (2) crosslinker 1 was substituted for the rigid crosslinker 4-we rationalized the more rigid crosslinker would limit intra-peptide crosslinking, (3) the crosslinking reaction was performed in two steps (onepot), and (4) methoxamine was employed to trap the formed ketone aer crosslinking via an oxime ligation reaction (30 659 Da) to prevent the retro-Michael reaction during the trypsin digestion (Fig. S5A-E †). ...

14-3-3ζ Participates in the Phase Separation of Phosphorylated and Glycated Tau and Modulates the Physiological and Pathological Functions of Tau
  • Citing Article
  • March 2023

ACS Chemical Neuroscience

... [19] The cucurbit [8]uril host is sufficiently large to bind two amino acid side chains simultaneously. [20][21][22][23] For instance, CB8 recognises the tripeptides Phy-Gly-Gly, Trp-Gly-Gly, [24][25][26] and Tyr-Leu-Ala [27] in aqueous buffers with high sequence specificity. These sequence preferences were already employed in the formation of supramolecular assemblies for sequestering, antibacterial activity, bioimaging, drug delivery, and tissue engineering. ...

Cucurbit[8]uril Facilitated Michael Addition for Regioselective Cysteine Modification
  • Citing Article
  • May 2021

Chemical Communications

... Serine phosphorylation is a reversible reaction respectively catalyzed by kinases and phosphatases, so that the phosphate group can be removed easily from serine by phosphatases. Instead, using nonhydrolyzable methylene (CH 2 ) or difluoromethylene (CF 2 ) phosphonate to mimic the phosphorylated residue can overcome these limitations [27][28][29]. CH 2 moiety, which replaces phosphoryl ester oxygen in pSer, can be incorporated into proteins to avoid cleavage by phosphatases. Thus, the CH 2 -phosphonate analog was embedded into the specific sites of proteins in Escherichia coli or in mammalian cells via the GCE strategy [30][31][32]. ...

Stereoselective synthesis of phosphonate pThr mimetic via palladium-catalyzed γ -C(sp 3 )-H activation for peptide assembling
  • Citing Article
  • January 2019

Organic & Biomolecular Chemistry