Xiang Zhuang

ORCID: 0000-0002-0253-1476
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About
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Research Areas
  • Lung Cancer Diagnosis and Treatment
  • Esophageal Cancer Research and Treatment
  • Machine Learning in Materials Science
  • Gastric Cancer Management and Outcomes
  • Computational Drug Discovery Methods
  • RNA modifications and cancer
  • Head and Neck Cancer Studies
  • Machine Learning in Bioinformatics
  • Single-cell and spatial transcriptomics
  • Histone Deacetylase Inhibitors Research
  • Esophageal and GI Pathology
  • Lung Cancer Treatments and Mutations
  • Cancer-related gene regulation
  • Cancer-related molecular mechanisms research
  • Topic Modeling
  • Immune cells in cancer
  • Cancer Diagnosis and Treatment
  • Lung Cancer Research Studies
  • Metastasis and carcinoma case studies
  • MicroRNA in disease regulation
  • Oral Health Pathology and Treatment
  • Liver physiology and pathology
  • Cancer survivorship and care
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Domain Adaptation and Few-Shot Learning

Zhejiang University
2020-2025

University of Electronic Science and Technology of China
2012-2024

Sichuan Cancer Hospital
2015-2024

Zhejiang Lab
2023

Zhejiang University of Science and Technology
2021-2023

Donghua University
2023

Second People’s Hospital of Yibin
2021

Chongqing Medical University
2016-2021

Cancer Hospital and Research Institute
2021

West China Hospital of Sichuan University
2018-2019

Advances in single-cell RNA sequencing (scRNA-seq) have furthered the simultaneous classification of thousands cells a single assay based on transcriptome profiling. In most analysis protocols, type annotation relies marker genes or RNA-seq profiles, resulting poor extrapolation. Still, accurate cell-type for transcriptomic data remains great challenge. Here, we introduce scDeepSort (https://github.com/ZJUFanLab/scDeepSort), pre-trained tool transcriptomics that uses deep learning model with...

10.1093/nar/gkab775 article EN cc-by-nc Nucleic Acids Research 2021-09-08

Abstract Deep learning models can accurately predict molecular properties and help making the search for potential drug candidates faster more efficient. Many existing methods are purely data driven, focusing on exploiting intrinsic topology construction rules of molecules without any chemical prior information. The high dependency makes them difficult to generalize a wider space leads lack interpretability predictions. Here, address this issue, we introduce element-oriented knowledge graph...

10.1038/s42256-023-00654-0 article EN cc-by Nature Machine Intelligence 2023-05-04

Abstract Histone deacetylase 3 (HDAC3) plays pivotal roles in cell cycle regulation and is often aberrantly expressed various cancers including hepatocellular carcinoma (HCC), but little known about its role liver regeneration cancer cells proliferation. Using an inducible hepatocyte-selective HDAC3 knockout mouse, we find that lack of dramatically impaired blocked hepatocyte proliferation the G1 phase entry. inactivation robustly disrupted signal transducer activator transcription (STAT3)...

10.1038/s41419-018-0428-x article EN cc-by Cell Death and Disease 2018-03-14

Abstract DNA damage triggers diverse cancers, particularly hepatocellular carcinoma (HCC), but the intrinsic link between and tumorigenesis remains unclear. Because of its role as an epigenetic transcriptional regulator, histone deacetylase 3 (HDAC3) is essential for control often aberrantly expressed in human HCC. In this study, we used individual class I HDAC member–deficient mice to demonstrate that K9 H3 (H3K9), which critical site assembly response complexes, exclusively targeted by...

10.1158/0008-5472.can-18-3767 article EN Cancer Research 2019-05-16

Molecular representation learning contributes to multiple downstream tasks such as molecular property prediction and drug design. To properly represent molecules, graph contrastive is a promising paradigm it utilizes self-supervision signals has no requirements for human annotations. However, prior works fail incorporate fundamental domain knowledge into semantics thus ignore the correlations between atoms that have common attributes but are not directly connected by bonds. address these...

10.1609/aaai.v36i4.20313 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2022-06-28

We aimed to evaluate the efficacy and feasibility of patient-reported outcome (PRO)-based symptom management in early period after lung cancer surgery.Before surgery, patients with clinically diagnosed were randomly assigned 1:1 receive postoperative PRO-based or usual care. All reported symptoms on MD Anderson Symptom Inventory-Lung Cancer presurgery, daily postsurgery, twice a week discharge for up 4 weeks via an electronic PRO system. In intervention group, treating surgeons responded...

10.1200/jco.21.01344 article EN cc-by-nc-nd Journal of Clinical Oncology 2022-01-07

Abstract Uncovering the tissue molecular architecture at single-cell resolution could help better understand organisms’ biological and pathological processes. However, bulk RNA-seq can only measure gene expression in cell mixtures, without revealing transcriptional heterogeneity spatial patterns of single cells. Herein, we introduce Bulk2Space ( https://github.com/ZJUFanLab/bulk2space ), a deep learning framework-based deconvolution algorithm that simultaneously disclose cellular data using...

10.1038/s41467-022-34271-z article EN cc-by Nature Communications 2022-10-30

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary point, may be published when key planned co-primary or secondary analyses are not yet available. Trial Updates provide an opportunity to disseminate additional results from studies, in JCO elsewhere, for which point has already been reported. We previously reported superior symptom control of electronic patient-reported outcome (ePRO)–based management...

10.1200/jco.23.01854 article EN cc-by-nc-nd Journal of Clinical Oncology 2024-04-04

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional linguistic boundaries, encompassing specialized systems developed within various scientific disciplines. This growing interest has led to the advent LLMs, novel subclass specifically engineered for facilitating discovery. As burgeoning area community AI...

10.48550/arxiv.2401.14656 preprint EN arXiv (Cornell University) 2024-01-26

Liver cancer and other malignant tumor cells rely on the glycolytic pathway to obtain energy (i.e. Warburg effect); however, underlying mechanism is unclear. Mitochondria are sites of oxidative phosphorylation adenosine triphosphate (ATP) production. The 13 constituent respiratory chain proteins encoded by mitochondrial genome (namely, mtDNA) play essential roles. We found that in human hepatocellular carcinoma (HCC) tissues, 11 out mtDNA-encoded genes exhibited decreased mRNA levels 5...

10.1093/carcin/bgz174 article EN Carcinogenesis 2019-10-14

Objective: To explore the correlation between biological effects of P53 mutant and wild-type in triple-negative breast cancer (TNBC) with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) signs, semi-quantitative parameters, quantitative parameters. Methods: A retrospective analysis was conducted on 68 patients diagnosed TNBC at Baotou Cancer Hospital from December 2022 to August 2024, including 48 cases mutation 20 wild-type. The differences two groups were compared MRI signs...

10.53469/jcmp.2025.07(02).01 article EN cc-by-nd Journal of Contemporary Medical Practice 2025-02-28

Acute liver failure (ALF) is a complicated clinical syndrome associated with high mortality, transplantation as the only treatment option. Treatment of mesenchymal stem cells has shown potential therapeutic option for acute failure. However, lack random trials and large non-human primate studies makes it necessary to assess efficacy safety in clinic.We treated monkeys peripheral delivery human umbilical MSCs (hUC-MSCs) investigated role hUC-MSCs modulating progress failure.The use early...

10.1186/s13287-019-1184-2 article EN cc-by Stem Cell Research & Therapy 2019-03-12

Radiographically, ground-glass nodules (GGN) and part-solid (PSN) in lung adenocarcinoma (LUAD) have significant heterogeneity their clinical manifestations, biological characteristics, prognosis. This study aimed to explore the of LUAD different radiological phenotypes associated factors influencing tumor evolution. We performed single-cell RNA sequencing (scRNA-seq) on tissues from eight seven cases GGN– PSN–LUAD, respectively, at disease stages, including minimally invasive (MIA), (IAC),...

10.1186/s12943-024-02177-7 article EN cc-by-nc-nd Molecular Cancer 2024-11-23

Patients with esophageal cancer are often accompanied by malnutrition, especially in patients obvious swallowing tract. Many studies have shown that preoperative nutritional support can reduce postoperative complications, but there few comparing enteral nutrition intravenous nutrition. The aim of the study was to compare effects two path undergoing surgery. We used risk screening 2002 (NRS2002) for treated at our department between April 2016 and March 2019. A total 56 an NRS2002 score ≥ 3...

10.1080/01635581.2020.1764981 article EN Nutrition and Cancer 2020-05-13

To investigate the role of cell division cycle associated 7 (CDCA7) in stomach carcinoma, detect whether CDCA7 knockdown could regulate development and further observe relationship between inflammation through TLR4/NF-κB signaling pathway adenocarcinoma (STAD) vitro vivo. TIMER2.0, Kaplan-Meier plotter, Target Gene, GEPIA systems were used to predict potential function CDCA7. Western blot immunohistochemistry was analyze expression at different tissue or lines. The proliferation,...

10.1002/biof.1773 article EN BioFactors 2021-08-02

Introduction Segmentectomy and lobectomy are the main surgical procedures for early-stage lung cancer. However, few studies have analysed patient-reported outcomes after segmentectomy versus lobectomy. This study aims to compare outcomes—such as symptoms, daily functioning quality of life—between thoracoscopic cancer during 1 year surgery. Methods analysis Overall, 788 newly diagnosed patients with (tumour size ≤2 cm), who scheduled undergo or lobectomy, will be recruited in this...

10.1136/bmjopen-2022-067841 article EN cc-by-nc BMJ Open 2023-01-01

IL molecules can efficiently catalyze H 2 O to produce ˙OH radicals at room temperature and very low concentrations, thus the IL/H system could be applied in cotton cold pad-batch bleaching, achieving combined scouring/bleaching one step process.

10.1039/d3gc00963g article EN Green Chemistry 2023-01-01

This study mainly investigated the effects of matrine on cell apoptosis and anticancer drugs in non-small lung cancer (NSCLC) lines (A549 LK2 cells). The results showed that (≥10 μM) caused a significant inhibition viability 10 100 μM induced via influencing p53, bax, casp3, bcl-2 expressions A549 cells. In addition, significantly down-regulated C-C chemokine receptor type 7 (CCR7) expression, blocking down-regulation CCR7 by exogenous ligand 21 (CCL21) treatment alleviated matrine-caused...

10.1177/1753425918800555 article EN cc-by-nc Innate Immunity 2018-09-20

Integrin-linked kinase (ILK) is a multifunctional adaptor protein which involved with signalling within cells to modulate malignant (cancer) cell movement, cycle, metastasis and epithelial-mesenchymal transition (EMT). Our previous experiment demonstrated that ILK siRNA inhibited the growth induced apoptosis of bladder cancer as well increased expression Ribonuclease inhibitor (RI), an important cytoplasmic many functions. We also reported RI overexpression phosphorylation AKT GSK3β. gene...

10.1186/s13046-016-0408-x article EN cc-by Journal of Experimental & Clinical Cancer Research 2016-08-30

Molecular property is usually observed with a limited number of samples, and researchers have considered prediction as few-shot problem. One important fact that has been ignored by prior works each molecule can be recorded several different properties simultaneously. To effectively utilize many-to-many correlations molecules properties, we propose Graph Sampling-based Meta-learning (GS-Meta) framework for molecular prediction. First, construct Molecule-Property relation (MPG): are nodes,...

10.24963/ijcai.2023/526 article EN 2023-08-01
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