Profiling of somatic mutations in acute myeloid leukemia with FLT3-ITD at diagnosis and relapse DOI Open Access
Manoj Garg, Yasunobu Nagata, Deepika Kanojia

и другие.

Blood, Год журнала: 2015, Номер 126(22), С. 2491 - 2501

Опубликована: Окт. 5, 2015

Язык: Английский

Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future DOI Creative Commons
Nicholas McGranahan, Charles Swanton

Cell, Год журнала: 2017, Номер 168(4), С. 613 - 628

Опубликована: Фев. 1, 2017

Язык: Английский

Процитировано

2372

Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures DOI Creative Commons
Yasin Şenbabaoğlu, Ron S. Gejman,

Andrew Winer

и другие.

Genome biology, Год журнала: 2016, Номер 17(1)

Опубликована: Ноя. 17, 2016

Tumor-infiltrating immune cells have been linked to prognosis and response immunotherapy; however, the levels of distinct cell subsets signals that draw them into a tumor, such as expression antigen presenting machinery genes, remain poorly characterized. Here, we employ gene expression-based computational method profile infiltration 24 populations in 19 cancer types. We compare types using an score T find clear renal carcinoma (ccRCC) is among highest for both scores. Using profiles well transcriptomic proteomic datasets, characterize three groups ccRCC tumors: enriched, heterogeneously infiltrated, non-infiltrated. observe immunogenicity tumors cannot be explained by mutation load or neo-antigen load, but highly correlated with MHC class I (APM). explore prognostic value show two cohorts Th17 CD8+ T/Treg ratio are associated improved survival, whereas Th2 Tregs negative outcomes. Investigation association patterns subclonal architecture shows APM negatively subclone number. Our analysis sheds light on human cancers unravels mRNA signatures utility immunotherapeutic biomarker potential ccRCC.

Язык: Английский

Процитировано

817

Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance DOI Open Access
Whijae Roh, Pei-Ling Chen, Alexandre Reuben

и другие.

Science Translational Medicine, Год журнала: 2017, Номер 9(379)

Опубликована: Март 1, 2017

Immune checkpoint blockade produces clinical benefit in many patients. However, better biomarkers of response are still needed, and mechanisms resistance remain incompletely understood. To address this, we recently studied a cohort melanoma patients treated with sequential against cytotoxic T lymphocyte antigen-4 (CTLA-4) followed by programmed death receptor-1 (PD-1) identified immune markers resistance. Building on these studies, performed deep molecular profiling including cell receptor sequencing whole-exome within the same demonstrated that more clonal repertoire was predictive to PD-1 but not CTLA-4 blockade. Analysis CNAs higher burden copy number loss nonresponders found it associated decreased expression genes immune-related pathways. The effect mutational load nonredundant, suggesting potential utility combinatorial biomarker optimize patient care therapy.

Язык: Английский

Процитировано

782

The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions DOI
Hamid Bolouri, Jason E. Farrar, Timothy J. Triche

и другие.

Nature Medicine, Год журнала: 2017, Номер 24(1), С. 103 - 112

Опубликована: Дек. 11, 2017

Язык: Английский

Процитировано

697

Comprehensive Analysis of Hypermutation in Human Cancer DOI Creative Commons

Brittany Campbell,

Nicholas Light, David Fabrizio

и другие.

Cell, Год журнала: 2017, Номер 171(5), С. 1042 - 1056.e10

Опубликована: Окт. 19, 2017

Язык: Английский

Процитировано

696

Resolving genetic heterogeneity in cancer DOI
Samra Turajlic, Andrea Sottoriva, Trevor A. Graham

и другие.

Nature Reviews Genetics, Год журнала: 2019, Номер 20(7), С. 404 - 416

Опубликована: Март 27, 2019

Язык: Английский

Процитировано

560

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors DOI Creative Commons
Amit G. Deshwar,

Shankar Vembu,

Christina K. Yung

и другие.

Genome Biology, Год журнала: 2015, Номер 16(1)

Опубликована: Фев. 12, 2015

Abstract Tumors often contain multiple subpopulations of cancerous cells defined by distinct somatic mutations. We describe a new method, PhyloWGS, which can be applied to whole-genome sequencing data from one or more tumor samples reconstruct complete genotypes these based on variant allele frequencies (VAFs) point mutations and population structural variations. introduce principled phylogenic correction for VAFs in loci affected copy number alterations we show that this greatly improves subclonal reconstruction compared existing methods. PhyloWGS is free, open-source software, available at https://github.com/morrislab/phylowgs .

Язык: Английский

Процитировано

426

Whole-genome and multisector exome sequencing of primary and post-treatment glioblastoma reveals patterns of tumor evolution DOI Creative Commons
Hoon Kim, Siyuan Zheng,

Seyed S. Amini

и другие.

Genome Research, Год журнала: 2015, Номер 25(3), С. 316 - 327

Опубликована: Фев. 3, 2015

Glioblastoma (GBM) is a prototypical heterogeneous brain tumor refractory to conventional therapy. A small residual population of cells escapes surgery and chemoradiation, resulting in typically fatal recurrence ∼7 mo after diagnosis. Understanding the molecular architecture this critical for development successful therapies. We used whole-genome sequencing whole-exome multiple sectors from primary paired recurrent GBM tumors reconstruct genomic profile residual, therapy resistant initiating cells. found that genetic alteration p53 pathway event predictive high number subclonal mutations glioblastoma. The road leading highly idiosyncratic but can be broadly classified into linear recurrences share extensive similarity with directly traced one its specific sectors, divergent few alterations originate branched off early during tumorigenesis. Our study provides mechanistic insights how impact ensuing evolution emergence heterogeneity.

Язык: Английский

Процитировано

381

Cancer Evolution: Mathematical Models and Computational Inference DOI Creative Commons
Niko Beerenwinkel, Roland F. Schwarz, Moritz Gerstung

и другие.

Systematic Biology, Год журнала: 2014, Номер 64(1), С. e1 - e25

Опубликована: Окт. 7, 2014

Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical progression, immune escape, and drug resistance development. Evolutionary theory can be used analyze dynamics cell populations make inference about history from molecular data. We review recent approaches modeling evolution cancer, including population models initiation phylogenetic methods model relationship between subclones, probabilistic graphical describe dependencies among mutations. helps understand how tumors arise will also play an increasingly important prognostic role in predicting disease progression outcome medical interventions, such as targeted therapy.

Язык: Английский

Процитировано

361

Identification of neoantigens for individualized therapeutic cancer vaccines DOI

Franziska Lang,

Barbara Schrörs,

Martin Löwer

и другие.

Nature Reviews Drug Discovery, Год журнала: 2022, Номер 21(4), С. 261 - 282

Опубликована: Фев. 1, 2022

Язык: Английский

Процитировано

354