KEAP1 and TP53 Frame Genomic, Evolutionary, and Immunologic Subtypes of Lung Adenocarcinoma With Different Sensitivity to Immunotherapy

Journal of Thoracic Oncology, Год журнала: 2021, Номер 16(12), С. 2065 - 2077

Опубликована: Авг. 25, 2021

Язык: Английский

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A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002-2022)

Frontiers in Oncology, Год журнала: 2023, Номер 13

Опубликована: Фев. 7, 2023

Colorectal cancer (CRC) has the third-highest incidence and second-highest mortality rate of all cancers worldwide. Early diagnosis screening CRC have been focus research in this field. With continuous development artificial intelligence (AI) technology, AI advantages many aspects CRC, such as adenoma screening, genetic testing, prediction tumor metastasis.This study uses bibliometrics to analyze summarize field's history current status research, predict future directions.We searched SCIE database for literature on AI. The documents span period 2002-2022. we used data these papers, authors, countries, institutions, references. Co-authorship, co-citation, co-occurrence analysis were main methods analysis. Citespace, VOSviewer, SCImago Graphica visualize results.This selected 1,531 articles CRC. China published a maximum number 580 U.S. had most quality publications, boasting an average citation per article 46.13. Mori Y Ding K two authors with highest articles. Scientific Reports, Cancers, Frontiers Oncology are widely journals. Institutions from occupy top 9 positions among institutions. We found that field mainly focuses colonoscopy-assisted diagnosis, imaging histology, pathology examination.AI is currently stage good prospects. colonoscopy, imageomics, pathology. However, scope applications still limited, there lack inter-institutional collaboration. pervasiveness technology direction housing

Язык: Английский

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Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Сен. 28, 2023

Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional biopsies, including 111 from NE, 68 HGG patients. Whole exome RNA sequencing uncover unique genomic alterations to unresectable NE tumor, subclonal events, which inform models predictive geographic evolution. Infiltrative is alternatively enriched with cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based subtypes, respectively demonstrate abundant private mutations enrichment in immune signatures. These phenotypes are non-invasively identified through normalized K2 signatures, discern size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. predicted display increased proliferation by mean diffusivity (MD) MRI metrics uniquely associated EGFR amplification CDKN2A homozygous deletion. The biophysical mapping infiltrative potentially enables clinical recognition subpopulations aggressive signatures progression, thereby informing precision medicine targeting.

Язык: Английский

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A functional genetic screen defines the AKT-induced senescence signaling network

Cell Death and Differentiation, Год журнала: 2019, Номер 27(2), С. 725 - 741

Опубликована: Июль 8, 2019

Abstract Exquisite regulation of PI3K/AKT/mTORC1 signaling is essential for homeostatic control cell growth, proliferation, and survival. Aberrant activation this network an early driver many sporadic human cancers. Paradoxically, sustained hyperactivation the pathway in nontransformed cells results cellular senescence, which a tumor-suppressive mechanism that must be overcome to promote malignant transformation. While oncogene-induced senescence (OIS) driven by excessive RAS/ERK has been well studied, little known about mechanisms underpinning AKT-induced (AIS) response. Here, we utilize combination transcriptome metabolic profiling identify key signatures required maintain AIS. We also employ whole protein-coding genome RNAi screen AIS escape, validating subset novel mediators demonstrating their preferential specificity as compared with OIS. As proof concept potential exploit network, show neurofibromin 1 (NF1) upregulated during its ability suppress facilitates maintenance. Furthermore, depletion NF1 enhances transformation p53-mutant epithelial expressing activated AKT, while overexpression blocks inducing senescent-like phenotype. Together, our findings reveal mechanistic insights into putative regulators can potentially targeted, implications new therapeutic options treat PI3K/AKT/mTORC1-driven

Язык: Английский

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Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Фев. 5, 2020

Abstract The type and genomic context of cancer mutations depend on their causes. These causes have been characterized using signatures that represent mutation types co-occur in the same tumours. However, it remains unclear how processes change during evolution due to lack reliable methods reconstruct evolutionary trajectories mutational signature activity. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data from 2658 cancers across 38 tumour types, we present TrackSig, a new method reconstructs these optimal, joint segmentation deconvolution allele frequencies single sample. In simulations, find TrackSig has 3–5% activity reconstruction error, 12% false detection rate. It outperforms an aggressive baseline situations with branching evolution, CNA gain, neutral mutations. Applied tumours permits pan-cancer insight into changes processes.

Язык: Английский

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