TPPP3, a Good Prognostic Indicator, Suppresses Cell Proliferation and Migration in OSCC DOI Creative Commons
Ting Xiao,

Omar Rahhal,

Liping Wang

et al.

International Dental Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Proteogenomic data and resources for pan-cancer analysis DOI Creative Commons
Yize Li, Yongchao Dou, Felipe da Veiga Leprevost

et al.

Cancer Cell, Journal Year: 2023, Volume and Issue: 41(8), P. 1397 - 1406

Published: Aug. 1, 2023

The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 in 10 cohorts create cohesive powerful dataset scientific discovery. We outline efforts by the CPTAC working group harmonization, dissemination, computational resources aiding biological discoveries. also discuss challenges integration analysis, specifically unique of with both nucleotide sequencing mass spectrometry proteomics data.

Language: Английский

Citations

92

Functional screen identifies RBM42 as a mediator of oncogenic mRNA translation specificity DOI
Joanna Kovalski, Goksu Sarioglu, Vishvak Subramanyam

et al.

Nature Cell Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Language: Английский

Citations

2

Proteomic and phosphoproteomic landscapes of acute myeloid leukemia DOI Creative Commons
Michael H. Kramer, Qiang Zhang, Robert W. Sprung

et al.

Blood, Journal Year: 2022, Volume and Issue: 140(13), P. 1533 - 1548

Published: July 27, 2022

Abstract We have developed a deep-scale proteome and phosphoproteome database from 44 representative acute myeloid leukemia (AML) patients the LAML TCGA dataset 6 healthy bone marrow–derived controls. After confirming data quality, we orthogonally validated several previously undescribed features of AML revealed by proteomic data. identified examples posttranscriptionally regulated proteins both globally (ie, in all samples) also with recurrent driver mutations. For example, samples IDH1/2 mutations displayed elevated levels 2-oxoglutarate–dependent histone demethylases KDM4A/B/C, despite no changes messenger RNA for these genes; confirmed this finding vitro. In NPMc mutations, nuclear importins increased protein abundance showed that they interact but not wild-type NPM1. 2 cell surface (CD180 MRC1/CD206) expressed on blasts many (but CD34+ stem/progenitor cells) could represent novel targets immunologic therapies via flow cytometry. Finally, detected nearly 30 000 phosphosites samples; globally, were associated abnormal phosphorylation specific residues PTPN11, STAT3, AKT1, PRKCD. FLT3-TKD activating tyrosines cytoplasmic Src-family tyrosine kinases FGR HCK related signaling proteins. PML-RARA–initiated unique signature, TP53-mutant abundant serine-183 TP53 itself. This publicly available will serve as foundation further investigations dysregulation pathogenesis.

Language: Английский

Citations

63

AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding DOI Creative Commons
Yaojia Chen, Jiacheng Wang, Chunyu Wang

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(1), P. e1011851 - e1011851

Published: Jan. 30, 2024

The unique expression patterns of circRNAs linked to the advancement and prognosis cancer underscore their considerable potential as valuable biomarkers. Repurposing existing drugs for new indications can significantly reduce cost treatment. Computational prediction circRNA-cancer drug-cancer relationships is crucial precise therapy. However, prior computational methods fail analyze interaction between circRNAs, drugs, at systematic level. It essential propose a method that uncover more information achieving cancer-centered multi-association prediction. In this paper, we present novel method, AutoEdge-CCP, unveil cancer-associated drugs. We abstract complex into multi-source heterogeneous network. network, each molecule represented by two types information, one intrinsic attribute molecular features, other link explicitly modeled autoGNN, which searches from both intra-layer inter-layer message passing neural significant performance on multi-scenario applications case studies establishes AutoEdge-CCP potent promising association tool.

Language: Английский

Citations

15

Directional integration and pathway enrichment analysis for multi-omics data DOI Creative Commons
Mykhaylo Slobodyanyuk, Alexander T. Bahcheli, Zoe P. Klein

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 7, 2024

Omics techniques generate comprehensive profiles of biomolecules in cells and tissues. However, a holistic understanding underlying systems requires joint analyses multiple data modalities. We present DPM, fusion method for integrating omics datasets using directionality significance estimates genes, transcripts, or proteins. DPM allows users to define how the input are expected interact directionally given experimental design biological relationships between datasets. prioritises genes pathways that change consistently across penalises those with inconsistent directionality. To demonstrate our approach, we characterise gene pathway regulation IDH-mutant gliomas by jointly analysing transcriptomic, proteomic, DNA methylation Directional integration survival information ovarian cancer reveals candidate biomarkers consistent prognostic signals transcript protein expression. is general adaptable framework prioritisation analysis multi-omics

Language: Английский

Citations

10

The Anticancer Effects and Therapeutic Potential of Kaempferol in Triple-Negative Breast Cancer DOI Open Access
Sukhmandeep Kaur, Patricia Mendonca, Karam F. A. Soliman

et al.

Nutrients, Journal Year: 2024, Volume and Issue: 16(15), P. 2392 - 2392

Published: July 23, 2024

Breast cancer is the second-leading cause of death among women in United States. Triple-negative breast (TNBC), a subtype cancer, an aggressive phenotype that lacks estrogen (ER), progesterone (PR), and human epidermal growth (HER-2) receptors, which challenging to treat with standardized hormonal therapy. Kaempferol natural flavonoid antioxidant, anti-inflammatory, neuroprotective, anticancer effects. Besides anti-tumorigenic, antiproliferative, apoptotic effects, kaempferol protects non-cancerous cells. showed anti-breast effects by inducing DNA damage increasing caspase 3, 9, pAMT expression, modifying ROS production Nrf2 modulation, apoptosis cleaved PARP Bax downregulating Bcl-2 cell cycle arrest at G2/M phase; inhibiting immune evasion modulating JAK-STAT3 pathway; angiogenic metastatic potential tumors MMP-3 MMP-9 levels. holds promise for boosting efficacy agents, complementing their or reversing developed chemoresistance. Exploring novel TNBC molecular targets could elucidate its mechanisms identify strategies overcome limitations clinical application. This review summarizes latest research on kaempferol’s as anti-TNBC agent, highlighting promising but underexplored pathways delivery challenges warrant further investigation achieve successful translation.

Language: Английский

Citations

10

Glycolysis-Related SLC2A1 Is a Potential Pan-Cancer Biomarker for Prognosis and Immunotherapy DOI Open Access

Haosheng Zheng,

Guojie Long,

Yuzhen Zheng

et al.

Cancers, Journal Year: 2022, Volume and Issue: 14(21), P. 5344 - 5344

Published: Oct. 29, 2022

SLC2A1 plays a pivotal role in cancer glycometabolism. has been proposed as putative driver gene various cancers. However, pan-cancer analysis of not yet performed. In this study, we explored the expression and prognosis across multiple databases. We conducted genetic alteration, epigenetic, functional enrichment analyses SLC2A. calculated correlation between tumor microenvironment using TCGA dataset. observed high levels with poor most The overall alteration frequency was 1.8% pan-cancer, promoter hypomethylation several Most m6A-methylation-related genes positively correlated 33 Moreover, mainly related to functions including epithelial–mesenchymal transition, glycolysis, hypoxia, cell-cycle regulation, DNA repair. Finally, associated neutrophils cancer-associated fibroblasts cancers significantly TMB MSI Notably, remarkably PD-L1 CTLA4 might serve an attractive biomarker for providing new insights into therapeutics.

Language: Английский

Citations

29

Roles of cuproptosis-related gene DLAT in various cancers: a bioinformatic analysis and preliminary verification on pro-survival autophagy DOI Creative Commons
QinJing Yang, Shuangshuang Zeng, Wei Liu

et al.

PeerJ, Journal Year: 2023, Volume and Issue: 11, P. e15019 - e15019

Published: March 17, 2023

Background Studies have shown that the expressions and working mechanisms of Dihydrolipoamide S-acetyltransferase (DLAT) in different cancers vary. It is necessary to analyze regulatory roles DLAT tumors systematically. Methods Online public-platform literature on relationships between expression levels tumor prognosis, methylation status, genetic alteration, drug sensitivity, immune infiltration has been reviewed. The includes such documents as Cancer Genome Atlas (TCGA), Human Protein (HPA), Tumor Immune Estimation Resource 2.0 (TIMER2.0), Gene Expression Profiling Interactive Analysis 2 (GEPIA2) Receiver Operating Characteristic plotter (ROC plotter). molecular were explored with Set Enrichment (GSEA). relationship down-regulated autophagy two liver hepatocellular carcinoma (LIHC) cell lines was confirmed western blot method, colony formation assay, transmission electron microscopy. Tissue microarrays validated through immunohistochemical staining DLAT. Results upregulated LIHC, lung adenocarcinoma (LUAD), squamous (LUSC), stomach (STAD) but head neck (HNSC) kidney renal clear (KIRC) comparison normal tissues. For LIHC patients treated 5-Fluorouracil Lenvatinib, those drug-resistant group are significantly high. In cells, will be inhibited, death induced when breaks down. Moreover, there exist positive correlations B DC Tregs, CD8+ T cells chromophobe (KICH), breast invasive (BRCA), prostate (PRAD), HPV+ HNSC. markers Tregs positively correlated Compared tissues, intensity amount marker CD49d increase. Conclusions Through this study, various cancer types can understood comprehensively. suggests may a prognostic for LUAD, LUSC, STAD KIRC. A high promote tumorigenesis by stimulating inhibiting anti-tumor immunity.

Language: Английский

Citations

21

Global impact of somatic structural variation on the cancer proteome DOI Creative Commons
Fengju Chen, Yiqun Zhang, Darshan S. Chandrashekar

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 13, 2023

Abstract Both proteome and transcriptome data can help assess the relevance of non-coding somatic mutations in cancer. Here, we combine mass spectrometry-based proteomics with whole genome sequencing across 1307 human tumors spanning various tissues to determine extent structural variant (SV) breakpoint patterns impact protein expression nearby genes. We find that about 25% hundreds genes SV-associated cis-regulatory alterations at mRNA level are similarly associated level. SVs enhancer hijacking, retrotransposon translocation, altered DNA methylation, or fusion transcripts implicated over-expression. combined levels considerably extend numbers patients somatically for critical pathways. catalog both SV involving patient survival breakpoints increased cell dependency cancer lines. Pan-cancer proteogenomics identifies targetable alterations, by virtue deregulated

Language: Английский

Citations

21

PLAGL2 promotes bladder cancer progression via RACGAP1/RhoA GTPase/YAP1 signaling DOI Creative Commons
Hualin Chen, Wenjie Yang, Yingjie Li

et al.

Cell Death and Disease, Journal Year: 2023, Volume and Issue: 14(7)

Published: July 15, 2023

Abstract PLAGL2 is upregulated in various tumors, including bladder cancer (BCa). However, the mechanisms underlying tumorigenic effects of BCa remain unclear. In our study, we proved that was overexpressed tissues and correlated with decreased survival. Functionally, deficiency significantly suppressed proliferation metastasis cells vitro vivo. RNA sequencing, qRT‒PCR, immunoblotting, immunofluorescence staining, luciferase reporter, ChIP assays revealed disrupted Hippo pathway increased YAP1/TAZ activity by transactivating RACGAP1. Further investigations demonstrated activated signaling via RACGAP1-mediated RhoA activation. Importantly, inhibitor simvastatin or verteporfin abrogated proproliferative prometastatic enhanced PLAGL2. These findings suggest promotes progression RACGAP1/RhoA GTPase/YAP1 signaling. Hence, core nodes may be promising therapeutic targets for BCa.

Language: Английский

Citations

19