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Jiayin Wang

Publications and source records attributed to Jiayin Wang.

11 recordsLinked to original sources

PScnv: personalized self-normalizing CNV detection with a hierarchical multi-phase framework.

MOTIVATION: Accurate detection of copy number variations (CNVs) from targeted panel sequencing remains challenging due to limited genomic coverage and pronounced sample-specific biases. Existing normalization strategies, including baseline-cohort, matched-control, and single-sample approaches, often struggle to balance noise suppression with adaptability, leading to inconsistent performance across heterogeneous samples. RESULTS: We present PScnv, a personalized self-normalizing framework for robust CNV detection from panel sequencing data. PScnv integrates a pre-built panel-of-normals (PoN) with sample-intrinsic stable chromosomes through ridge-regression normalization to generate individualized log2 ratio profiles with reduced systematic variation. CNVs are then identified using a hierarchical multi-phase segmentation pipeline incorporating z-score pre-partitioning, kernel-based correction, and circular binary segmentation. In 139 clinical tumor samples with orthogonal FISH validation at MET, ERBB2, and MTAP, PScnv showed improved accuracy and robustness over existing methods that do not require patient-matched normal samples, provided that a pre-built PoN cohort is available. AVAILABILITY: Source code is available for academic use at https://github.com/lvws/PScnv.

DNA Copy Number Variations↗

ZIPcnv: accurate and efficient inference of copy number variations from shallow whole-genome sequencing.

MOTIVATION: Shallow whole-genome sequencing (sWGS), a rapid and cost-effective sequencing technology, has gradually been widely adopted for CNV analyses. However, with genome‑wide coverage of only 0.1-5×, sWGS data display a pronounced zero‑inflation phenomenon-a large fraction of loci has zero sequencing reads. Zero inflation causes read counts to fluctuate by several‑fold between adjacent windows. As a result, random upward blips in coverage can be misinterpreted as copy‑number gains (false positives), and true deletions often become indistinguishable from pervasive zero‑coverage noise. In addition, existing CNV detection tools developed for sWGS data often struggle to adapt across different CNV sizes. These combined effects severely constrain the accuracy of CNV inference. RESULTS: To address above challenges, we propose ZIPcnv, a novel CNV detection tool specifically designed for sWGS data. First, we apply a segment sliding window to smooth the raw read depth signal, which transforms the original zero-inflated statistical characteristics into approximately normal distribution characteristics. We then design a statistical process model that robustly detects persistent shifts under high background noise using a cumulative sum strategy, classifying genomic regions into candidate and non-candidate CNV regions. Finally, dynamic sliding windows are used for one-pass detection of CNVs of varying lengths, with window size adapting to the CNV region size. We evaluated the performance of ZIPcnv on simulated data and 190 real whole-genome sequencing samples. Experimental results show that ZIPcnv consistently outperforms currently popular CNV detection tools. AVAILABILITY AND IMPLEMENTATION: The ZIPcnv source code is freely available at https://github.com/Nevermore233/ZIPcnv.

DNA Copy Number Variations↗

MRDtarget: A heuristic Gaussian approach for optimizing targeted capture regions to enhance Minimal Residual Disease detection.

Molecular residual disease (MRD) detection, initially developed for hematologic malignancies, has become a critical biomarker for monitoring solid tumors. MRD detection primarily relies on circulating tumor DNA (ctDNA) analysis using next-generation sequencing, offering high sensitivity and broad genomic coverage. However, challenges remain in designing cost-effective panels that maximize mutation detection while maintaining biological relevance. Fixed panels often lack sufficient patient-specific mutation coverage, while WES-based personalized MRD assays, despite their high sensitivity, are costly and less accessible. We developed a tumor comprehensive genomic profiling (CGP)-informed personalized MRD assay to detect tumor-derived mutations, which allowed us to design patient-specific personalized panels and meanwhile, provide a cost-effective alternative to whole exome sequencing (WES). To address these limitations, we developed MRDtarget, a heuristic multivariate Gaussian model-based targeted capture region selection method. By expanding beyond traditional hotspot regions, MRDtarget optimizes variant tracking for MRD detection, significantly improving sensitivity. Using a Bayesian inference-based heuristic approach, MRDtarget integrates multi-feature informativeness rates to identify optimal genomic regions for capture. Experimental results demonstrate that MRDtarget enables the detection of more variants per patient. This study underscores the importance of rational panel design to improve MRD sensitivity and provides a novel approach to enhance precision diagnostics and treatment for solid tumor patients.

Humans↗

MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples.

MOTIVATION: Minimal residual disease (MRD) as critical biomarker for cancer prognosis and management plays a crucial role in improving patient outcomes. However, detecting MRD via next-generation sequencing-based circulating tumor DNA variant calling remains unstable due to the extremely low variant allele frequency and significant inter- and intra-sample heterogeneity. Although parameter optimization can theoretically enhance the detection performance of variants, achieving stable MRD detection remains challenging due to three key factors: (i) the necessity for individualized parameter tuning across numerous heterogeneous genomic intervals within each sample, (ii) the tightly interdependent parameter requirements across different stages of variant detection workflows, and (iii) the limitations of current automated parameter optimization methods. RESULTS: In this study, we propose MRDagent, a novel variant detection tool designed specifically for MRD detection. MRDagent incorporates an iterative and self-adaptive optimization framework capable of handling unknown objectives, varying constraints, and highly coupled parameters across stages. A key innovation of MRDagent is the integration of a convolutional neural network-based meta-model, trained on historical data to enable rapid parameter prediction. This significantly enhances computational efficiency and generalization performance. Extensive evaluations on simulated and real-world datasets demonstrate MRDagent's superior and stable performance, providing an efficient, reliable solution for MRD detection in clinical and high-throughput research applications. AVAILABILITY AND IMPLEMENTATION: MRDagent is freely available at https://github.com/aAT0047/MRDagent.git. The corresponding dataset and software archive are available at Zenodo: https://doi.org/10.5281/zenodo.15458496.

Circulating Tumor DNA↗

Concentration-dependent effects of a selective estrogen receptor modulator raloxifene on proliferation and apoptosis in human uterine leiomyoma cells cultured in vitro.

BACKGROUND: This study was conducted to elucidate the effects of raloxifene on proliferation and apoptosis in cultured human uterine leiomyoma cells. METHODS: The monolayer cultures were treated with graded concentrations (10(-9), 10(-8) and 10(-7) M) of raloxifene and 10(-7) M 17beta-estradiol (E(2)). Cell viability, percentage of proliferating cell nuclear antigen (PCNA)-positive cells, percentage of terminal deoxynucleotidyl transferase-mediated 2'-deoxyuridine 5'-triphosphate nick-end labelling (TUNEL)-positive cells and the expression of PCNA and Bcl-2 proteins were assessed by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxylphenyl)-2-(4-sulphophenyl)-2H-tetraz olium assay, immunocytochemistry, TUNEL assay and western blot analysis, respectively. RESULTS: Compared with untreated cultures, the number of viable cultured cells, percentage of PCNA-positive cells and PCNA protein expression were significantly decreased by treatment with 10(-9) M raloxifene, but increased by treatment with either 10(-8) M or 10(-7) M raloxifene. In contrast, the percentage of TUNEL-positive cells was significantly increased and Bcl-2 protein expression was significantly decreased by treatment with 10(-9) M raloxifene, whereas they were not affected by treatment with either 10(-8) or 10(-7) M raloxifene. CONCLUSIONS: In cultured leiomyoma cells, low concentration (10(-9) M) of raloxifene may inhibit the growth of leiomyoma cells, whereas high concentrations (10(-8) M, 10(-7) M) of raloxifene may promote their growth.

Adult↗

A novel selective progesterone receptor modulator asoprisnil activates tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-mediated signaling pathway in cultured human uterine leiomyoma cells in the absence of comparable effects on myometrial cells.

CONTEXT: We previously demonstrated that asoprisnil, a selective progesterone receptor modulator, induces apoptosis of cultured uterine leiomyoma cells. This study was conducted to evaluate whether asoprisnil activates TNF-related apoptosis-inducing ligand (TRAIL)-mediated apoptotic pathway in cultured uterine leiomyoma and matching myometrial cells. OBJECTIVE AND METHODS: After subculture in phenol red-free DMEM supplemented with 10% fetal bovine serum for 120 h, cultured cells were stepped down to serum-free conditions for 24 h in the absence or presence of graded concentrations of asoprisnil. The levels of TRAIL signaling molecules and cellular inhibitors of apoptosis protein were assessed by Western blot analysis. RESULTS: TRAIL contents in untreated cultured leiomyoma cells were significantly (P < 0.01) lower compared with those in untreated cultured myometrial cells. There was no difference in death receptor (DR)4 and DR5 contents between the two types of cells. Asoprisnil treatment significantly (P < 0.05) increased TRAIL, DR4, and DR5 contents in cultured leiomyoma cells in a dose-dependent manner with a cleavage of caspase-8, -7, and -3, and decreased X-linked chromosome-linked inhibitor of apoptosis protein contents. In cultured myometrial cells, however, asoprisnil treatment did not affect either TRAIL signaling molecule or cellular inhibitors of apoptosis protein contents. The concomitant treatment with 100 ng/ml P4 significantly (P < 0.05) reversed asoprisnil-induced increase in DR4 and cleaved poly(adenosine 5'-diphosphate-ribose) polymerase contents in cultured leiomyoma cells. CONCLUSIONS: These results suggest that asoprisnil induces apoptosis of cultured leiomyoma cells by activating TRAIL-mediated apoptotic pathway and down-regulating X-linked chromosome-linked inhibitor of apoptosis protein levels in the absence of comparable effects on myometrial cells.

Adult↗

A novel selective progesterone receptor modulator asoprisnil (J867) down-regulates the expression of EGF, IGF-I, TGFbeta3 and their receptors in cultured uterine leiomyoma cells.

BACKGROUND: This study was conducted to evaluate the effects of a novel selective progesterone receptor modulator (SPRM) asoprisnil on the expression of growth factors and their receptors and on growth factor-induced proliferation of cultured uterine leiomyoma and matching myometrial cells. METHODS: The expression of epidermal growth factor (EGF), insulin-like growth factor-I (IGF-I) and transforming growth factor (TGFbeta3) was assessed by immunocytochemistry and semi-quantitative RT-PCR. The expression of phosphorylated EGF receptor (p-EGFR), IGF-I receptor alpha subunit (IGF-IRalpha) and phosphorylated TGFbeta receptor type II (p-TGFbeta RII) was assessed by Western blot analysis. Cell proliferation was assessed by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium assay. RESULTS: Treatment with 10(-7) M asoprisnil decreased EGF, IGF-I and TGFbeta3 mRNA and protein expression as well as p-EGFR, IGF-IRalpha and p-TGFbeta RII protein expression in leiomyoma cells cultured for 72 h. EGF (100 ng/ml), IGF-I (100 ng/ml) and TGFbeta3 (10 ng/ml) increased the number of viable leiomyoma cells cultured for 72 h, whereas the concomitant treatment with 10(-7) M asoprisnil antagonized the growth factor-induced increase in leiomyoma cell proliferation. In cultured myometrial cells, however, asoprisnil affected neither the growth factor and their receptor expression nor the cell proliferation. CONCLUSION: Asoprisnil inhibits the expression of EGF, IGF-I, TGFbeta3 and their receptors in cultured leiomyoma cells without affecting their expressions in myometrial cells.

Adult↗

A novel selective progesterone receptor modulator asoprisnil (J867) inhibits proliferation and induces apoptosis in cultured human uterine leiomyoma cells in the absence of comparable effects on myometrial cells.

CONTEXT: Asoprisnil, a selective progesterone (P4) receptor (PR) modulator (SPRM) with mixed P4 agonist/antagonist activities, reduces uterine leiomyoma volume in a dose-dependent manner in the presence of follicular phase estrogen concentrations. The evidence from clinical studies suggests that asoprisnil may directly target the uterine leiomyomata. OBJECTIVE AND METHODS: The present study evaluated the effects of asoprisnil on cell proliferation, the expression of apoptosis-related proteins, and apoptosis in cultured human uterine leiomyoma cells and matched normal myometrial cells. PR-A and PR-B expression in the two types of cells was comparatively evaluated. Cell proliferation, proliferating cell nuclear antigen (PCNA)-positive rate, and TUNEL-positive rate were assessed by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium assay, immunocytochemistry, and terminal deoxynucleotidyl transferase-mediated 2'-deoxyuridine 5'-triphosphate nick end labeling (TUNEL) assay, respectively. The expression of apoptosis-related proteins and PR was assessed by Western blot analysis. RESULTS: Compared with untreated cultures, asoprisnil decreased the number of viable cultured cells, the PCNA-positive rate, and PCNA protein expression in cultured leiomyoma cells. Asoprisnil increased the TUNEL-positive rate, cleaved caspase-3, and cleaved poly(adenosine 5'-diphosphate-ribose) polymerase expression and decreased Bcl-2 protein expression in cultured leiomyoma cells. These effects were dose and time dependent. In cultured myometrial cells, however, asoprisnil did not affect cell proliferation and apoptosis. PR-B expression was elevated in cultured leiomyoma cells compared with cultured myometrial cells, whereas no differences in PR-A expression were noted between the two cell types. CONCLUSIONS: These results show that asoprisnil inhibits proliferation and induces apoptosis in cultured uterine leiomyoma cells in the absence of comparable effects on cultured normal myometrial cells, suggesting a cell type-specific effect.

Apoptosis↗

Comparative effects of heparin-binding epidermal growth factor-like growth factor on the growth of cultured human uterine leiomyoma cells and myometrial cells.

BACKGROUND: The objective of this study was to investigate the comparative effects of heparin-binding epidermal growth factor-like growth factor (HB-EGF) on the growth of cultured human leiomyoma cells and myometrial cells. METHODS: Isolated cells were subcultured in Phenol Red-free Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum for 120 h and then stepped down to serum-free conditions for an additional 24 and 48 h in the presence or absence of graded concentrations of HB-EGF (0.1, 1, 10 and 100 ng/ml). These cells were used for immunocytochemical analysis for Ki67, western blot analysis for proliferating cell nuclear antigen (PCNA) and human EGF receptor (HER1), and TdT (terminal deoxynucleotidyl transferase)-mediated dUDP nick-end labelling (TUNEL) assay. RESULTS: Treatment with HB-EGF at concentrations >1 ng/ml significantly increased the Ki67-positive rate of cultured leiomyoma cells and myometrial cells. Treatment with HB-EGF also resulted in a dose-dependent increase in PCNA expression in both cells compared with untreated control cultures. A significant increase in PCNA expression in cultured myometrial cells was noted following treatment with HB-EGF at concentrations >1 ng/ml, whereas an increase in PCNA expression in cultured leiomyoma cells was noted following treatment with HB-EGF at concentrations >10 ng/ml. HER1 expression was significantly higher in untreated myometrial cells than in untreated leiomyoma cells. A significant increase in HER1 expression in myometrial cells was observed when treated with HB-EGF at concentrations >10 ng/ml, whereas a significant increase in HER1 expression in leiomyoma cells was noted only by the treatment with HB-EGF at concentrations >100 ng/ml. Treatment with HB-EGF decreased the TUNEL-positive rate of those cells with no significant differences between the two cell types. CONCLUSIONS: The results obtained suggest that HB-EGF plays a role in stimulating the proliferation of leiomyoma cells and myometrial cells and in inhibiting apoptosis of those cells through augmentation of HER1 expression. Since the proliferative potential of myometrial cells responded better to HB-EGF than that of leiomyoma cells, HB-EGF may play a more vital role in myometrial growth than leiomyoma growth.

Adult↗

Progesterone down-regulates insulin-like growth factor-I expression in cultured human uterine leiomyoma cells.

BACKGROUND: Insulin-like growth factor-I (IGF-I) plays crucial roles in uterine leiomyoma cell growth through stimulating proliferation and inhibiting apoptosis. The present study was conducted to elucidate whether progesterone affects IGF-I and its receptor expression in cultured leiomyoma cells. METHODS: Isolated leiomyoma cells were subcultured in Phenol Red-free Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum for 120 h and then stepped down to serum-free conditions for an additional 48 h in the presence or absence of 17beta-estradiol (E(2)) (10 ng/ml) or progesterone (100 ng/ml). IGF-I and its receptor mRNA and immunoreactive IGF-I in the cultured cells were assessed by quantitative RT-PCR with Southern blot analysis and by radioimmunoassay with Seppak C18 chromatography, respectively. The presence of estrogen receptor (ER) and progesterone receptor (PR) in cultured leiomyoma cells was immunocytochemically examined. RESULTS: Both treatment with progesterone alone and treatment with E(2) and progesterone combined significantly decreased IGF-I mRNA and protein expression in cultured leiomyoma cells compared with that in untreated cultures, but treatment with E(2) alone did not. IGF-I receptor mRNA expression in those cells was not affected by treatment with either E(2) or progesterone. Immunocytochemical analysis revealed that PR protein expression in cultured leiomyoma cells maintained in a serum-free condition for 48 h whereas ER protein expression in the cells remarkably decreased after 24 h culture under the serum-free condition. CONCLUSIONS: The present study provided evidence for the first time that progesterone down-regulates IGF-I mRNA and protein expression in cultured leiomyoma cells without affecting IGF-I receptor mRNA expression.

Adult↗

Effects of progesterone on growth factor expression in human uterine leiomyoma.

It is now evident that the use of levonorgestrel-releasing intrauterine system (LNg-IUS) is effective for long-term management of menorrhagic women with uterine myomas because of a striking reduction in menorrhagia. This prompted us to characterize the effects of progesterone (P4) on the growth and apoptosis of uterine leiomyoma cells. On the other hand, we have recently noted that epidermal growth factor (EGF) and IGF-I play a crucial role in prompting uterine leiomyoma growth through stimulating the proliferative potential and inhibiting apoptosis of cultured human leiomyoma cells. In the present review, attention was paid to evaluate the effects of P4 on the expression of growth factors (EGF, IGF-I) and apoptosis-related factors (TNFalpha, Bcl-2 protein) in cultured uterine leiomyoma cells. Treatment with P4 augmented EGF and Bcl-2 protein expression, but inhibited IGF-I and TNFalpha expression in cultured leiomyoma cells. It is known that TNFalpha induces apoptosis in a variety of cell types and Bcl-2 protein is an apoptosis-inhibiting gene product. Thus, the results obtained suggest that P4 has dual actions on uterine leiomyoma growth: one is to stimulate leiomyoma cell growth and survival through up-regulating EGF and Bcl-2 protein expression as well as down-regulating TNFalpha expression in those cells, and the other is to inhibit leiomyoma cell growth through down-regulating IGF-I expression in those cells. This may explain why the size of uterine myomas during use of LNg-IUS increases in some but decreases in other instances. This may also explain why the size of uterine myomas during pregnancy does not increase despite the overwhelming increase in circulating concentrations of sex steroid hormones.

Apoptosis↗