Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences DOI Creative Commons
Sushant Kumar, Jonathan Warrell,

Shantao Li

и другие.

Cell, Год журнала: 2020, Номер 180(5), С. 915 - 927.e16

Опубликована: Фев. 20, 2020

Язык: Английский

Pancancer survival analysis of cancer hallmark genes DOI Creative Commons
Ádám Nagy, Gyöngyi Munkácsy, Balázs Győrffy

и другие.

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Март 15, 2021

Abstract Cancer hallmark genes are responsible for the most essential phenotypic characteristics of malignant transformation and progression. In this study, our aim was to estimate prognostic effect established cancer in multiple distinct types. RNA-seq HTSeq counts survival data from 26 different tumor types were acquired TCGA repository. DESeq used normalization. Correlations between gene expression computed using Cox proportional hazards regression by plotting Kaplan–Meier plots. The false discovery rate calculated correct hypothesis testing. Signatures based on involved genome instability invasion reached significance individual Thyroid glioblastoma independent (61 54 significant, respectively), while renal clear cell low grade gliomas harbored changes (403 419 respectively). eight with highest included BRCA1 (genome instability, HR 4.26, p < 1E−16), RUNX1 (sustaining proliferative signaling, 2.96, = 3.1E−10) SERPINE1 (inducing angiogenesis, 3.36, 1.5E−12) glioma, CDK1 (cell death resistance, 5.67, 2.1E−10) kidney papillary carcinoma, E2F1 (tumor suppressor, 0.38, 2.4E−05) EREG (enabling replicative immortality, 3.23, 2.1E−07) cervical cancer, FBP1 (deregulation cellular energetics, 0.45, 2.8E−07) carcinoma MYC (invasion metastasis, 1.81, 5.8E−05) bladder cancer. We observed unexpected heterogeneity tissue specificity when correlating survival. These results will help prioritize future targeted therapy development solid tumors.

Язык: Английский

Процитировано

1022

A compendium of mutational cancer driver genes DOI
Francisco Martínez-Jiménez, Ferran Muiños, Inés Sentís

и другие.

Nature reviews. Cancer, Год журнала: 2020, Номер 20(10), С. 555 - 572

Опубликована: Авг. 10, 2020

Язык: Английский

Процитировано

987

A brief history of human disease genetics DOI Open Access
Melina Claussnitzer, Judy H. Cho, Rory Collins

и другие.

Nature, Год журнала: 2020, Номер 577(7789), С. 179 - 189

Опубликована: Янв. 8, 2020

Язык: Английский

Процитировано

600

The UCSC Xena platform for public and private cancer genomics data visualization and interpretation DOI Creative Commons
Mary J. Goldman, Brian Craft,

Mim Hastie

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2018, Номер unknown

Опубликована: Май 18, 2018

Abstract UCSC Xena is a visual exploration resource for both public and private omics data, supported through the web-based Browser multiple turn-key Hubs. This unique archecture allows researchers to view their own data securely, using Hubs, simultaneously visualizing large cancer genomics datasets, including TCGA GDC. Data integration occurs only within Browser, keeping private. supports virtually any functional SNVs, INDELs, structural variants, CNV, expression, DNA methylation, ATAC-seq signals, phenotypic annotations. features include Visual Spreadsheet, survival analyses, powerful filtering subgrouping, statistical genomic signatures, bookmarks. differentiates itself from other tools, its predecessor, Cancer Genomics by ability easily securely high performance, broad type support, many features.

Язык: Английский

Процитировано

444

Artificial Intelligence in Cancer Research and Precision Medicine DOI Open Access
Bhavneet Bhinder, Coryandar Gilvary, Neel S. Madhukar

и другие.

Cancer Discovery, Год журнала: 2021, Номер 11(4), С. 900 - 915

Опубликована: Апрель 1, 2021

Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well innovative deep learning architectures, has led to an explosion AI use various aspects oncology research. These applications range from detection classification cancer, molecular characterization tumors their microenvironment, drug discovery repurposing, predicting treatment outcomes for patients. As these start penetrating the clinic, we foresee a shifting paradigm care becoming strongly driven by AI. SIGNIFICANCE: potential dramatically affect nearly all oncology-from enhancing diagnosis personalizing discovering novel anticancer drugs. Here, review recent enormous progress application oncology, highlight limitations pitfalls, chart path adoption clinic.

Язык: Английский

Процитировано

436

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients DOI Creative Commons
Bastien Nguyen, Christopher J. Fong, Anisha Luthra

и другие.

Cell, Год журнала: 2022, Номер 185(3), С. 563 - 575.e11

Опубликована: Фев. 1, 2022

Язык: Английский

Процитировано

422

Ferroptosis heterogeneity in triple-negative breast cancer reveals an innovative immunotherapy combination strategy DOI Creative Commons
Fan Yang, Yi Xiao, Jia-Han Ding

и другие.

Cell Metabolism, Год журнала: 2022, Номер 35(1), С. 84 - 100.e8

Опубликована: Окт. 17, 2022

Treatment of triple-negative breast cancer (TNBC) remains challenging. Deciphering the orchestration metabolic pathways in regulating ferroptosis will provide new insights into TNBC therapeutic strategies. Here, we integrated multiomics data our large cohort (n = 465) to develop atlas. We discovered that TNBCs had heterogeneous phenotypes ferroptosis-related metabolites and pathways. The luminal androgen receptor (LAR) subtype was characterized by upregulation oxidized phosphatidylethanolamines glutathione metabolism (especially GPX4), which allowed utilization GPX4 inhibitors induce ferroptosis. Furthermore, verified inhibition not only induced tumor but also enhanced antitumor immunity. combination anti-PD1 possessed greater efficacy than monotherapy. Clinically, higher expression correlated with lower cytolytic scores worse prognosis immunotherapy cohorts. Collectively, this study demonstrated landscape revealed an innovative strategy for refractory LAR tumors.

Язык: Английский

Процитировано

311

Targeting the Vulnerability of Glutathione Metabolism in ARID1A-Deficient Cancers DOI Creative Commons
Hideaki Ogiwara, Kazuaki Takahashi,

Mariko Sasaki

и другие.

Cancer Cell, Год журнала: 2019, Номер 35(2), С. 177 - 190.e8

Опубликована: Янв. 27, 2019

Язык: Английский

Процитировано

253

Pancancer survival analysis of cancer hallmark genes DOI Open Access
Ádám Nagy, Gyöngyi Munkácsy, Balázs Győrffy

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2020, Номер unknown

Опубликована: Ноя. 16, 2020

ABSTRACT Cancer hallmark genes are responsible for the most essential phenotypic characteristics of malignant transformation and progression. In this study, our aim was to estimate prognostic effect established cancer in multiple distinct types. RNA-seq HTSeq counts survival data from 26 different tumor types were acquired TCGA repository. DESeq used normalization. Correlations between gene expression computed using Cox proportional hazards regression by plotting Kaplan-Meier plots. The false discovery rate calculated correct hypothesis testing. Signatures based on involved genome instability invasion reached significance individual Thyroid glioblastoma independent (61 54 significant, respectively), while renal clear cell low grade gliomas harbored changes (403 419 respectively). eight with highest included BRCA1 (genome instability, HR=4.26, p<1E-16), RUNX1 (sustaining proliferative signaling, HR=2.96, p=3.1E-10) SERPINE1 (inducing angiogenesis, HR=3.36, p=1.5E-12) glioma, CDK1 (cell death resistance, HR=5.67, p=2.1E-10) kidney papillary carcinoma, E2F1 (tumor suppressor, HR=0.38, p=2.4E-05) EREG (enabling replicative immortality, HR=3.23, p=2.1E-07) cervical cancer, FBP1 (deregulation cellular energetics, HR=0.45, p=2.8E-07) carcinoma MYC (invasion metastasis, HR=1.81, p=5.8E-05) bladder cancer. We observed unexpected heterogeneity tissue specificity when correlating survival. These results will help prioritize future targeted therapy development solid tumors.

Язык: Английский

Процитировано

241

xCT: A Critical Molecule That Links Cancer Metabolism to Redox Signaling DOI Creative Commons
Jinyun Liu, Xiaojun Xia, Peng Huang

и другие.

Molecular Therapy, Год журнала: 2020, Номер 28(11), С. 2358 - 2366

Опубликована: Сен. 2, 2020

System xc- cystine/glutamate antiporter, composed of a light-chain subunit (xCT, SLC7A11) and heavy-chain (CD98hc, SLC3A2), is mainly responsible for the cellular uptake cystine in exchange intracellular glutamate. In recent years, xCT molecule has been found to play an important role tumor growth, progression, metastasis, multidrug resistance various types cancer. Interestingly, also exhibits essential function regulating tumor-associated ferroptosis. Despite significant progress targeting system transporter cancer treatment, underlying mechanisms still remain elusive. It unclear why solid tumors are more sensitive inhibitors such as sulfasalazine, compared hematological malignancies. This review focuses on regard chemoresistance, tumor-selective ferroptosis, gene expression. The potential therapeutic implications its combination with chemotherapeutic agents or immunotherapy suppress growth overcome drug discussed.

Язык: Английский

Процитировано

234