Keren Isaev

ORCID: 0000-0002-8242-0206
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About
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Research Areas
  • Cancer Genomics and Diagnostics
  • CAR-T cell therapy research
  • Cancer-related molecular mechanisms research
  • Cancer-related gene regulation
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Glioma Diagnosis and Treatment
  • Genomics and Chromatin Dynamics
  • Lymphoma Diagnosis and Treatment
  • Genomics and Phylogenetic Studies
  • Epigenetics and DNA Methylation
  • Protein Degradation and Inhibitors
  • Genetic factors in colorectal cancer
  • Bioinformatics and Genomic Networks
  • Evolution and Genetic Dynamics
  • Ubiquitin and proteasome pathways
  • Medicinal Plant Pharmacodynamics Research
  • Chromosomal and Genetic Variations
  • Genomics and Rare Diseases
  • Medical Imaging and Analysis
  • Spine and Intervertebral Disc Pathology
  • Nutrition, Genetics, and Disease
  • Spinal Fractures and Fixation Techniques
  • Genomic variations and chromosomal abnormalities
  • Viral-associated cancers and disorders

University Health Network
2017-2024

Princess Margaret Cancer Centre
2017-2024

New York Genome Center
2023-2024

Columbia University
2023-2024

University of Toronto
2017-2023

Ontario Institute for Cancer Research
2017-2023

Centre for Addiction and Mental Health
2017

Mental Health Research Institute
2017

Florence M.G. Cavalli Marc Remke Ladislav Rampášek John Peacock David Shih and 90 more Betty Luu Livia Garzia Jonathon Torchia Carolina Nör A. Sorana Morrissy Sameer Agnihotri Yuan Thompson Claudia M. Kuzan-Fischer Hamza Farooq Keren Isaev Craig Daniels Byung-Kyu Cho Seung-Ki Kim Kyu‐Chang Wang Ji Yeoun Lee Wiesława Grajkowska Marta Perek‐Polnik Alexandre Vasiljevic Cécile Faure‐Conter Anne Jouvet Caterina Giannini Amulya A. Nageswara Rao Kay Ka Wai Li Ho‐Keung Ng Charles G. Eberhart Ian F. Pollack Ronald L. Hamilton G. Yancey Gillespie James M. Olson Sarah Leary William A. Weiss Bolesław Lach Lola B. Chambless Reid C. Thompson Michael K. Cooper Rajeev Vibhakar Péter Hauser Marie‐Lise C. van Veelen Johan M. Kros Pim J. French Young Seob Shin Toshihiro Kumabe Enrique López‐Aguilar Karel Zitterbart Jaroslav Štěrba Gaetano Finocchiaro Maura Massimino Erwin G. Van Meir Satoru Osuka Tomoko Shofuda Álmos Klekner Massimo Zollo Jeffrey R. Leonard Joshua B. Rubin Nada Jabado Steffen Albrecht Jaume Mora Timothy Van Meter Shin Jung Andrew S. Moore Andrew R. Hallahan Jennifer A. Chan Daniela Pretti da Cunha Tirapelli Carlos Gilberto Carlotti Maryam Fouladi José Pimentel Cláudia C. Faria Ali G. Saad Luca Massimi Linda M. Liau Helen Wheeler Hideo Nakamura Samer K. Elbabaa Mario Pérezpeña-Díazconti Fernando Chico Ponce de León Shenandoah Robinson Michal Zápotocký Álvaro Lassaletta Annie Huang Cynthia Hawkins Uri Tabori Éric Bouffet Ute Bartels Peter B. Dirks James T. Rutka Gary D. Bader Jüri Reimand Anna Goldenberg Vijay Ramaswamy Michael D. Taylor

10.1016/j.ccell.2017.05.005 article EN publisher-specific-oa Cancer Cell 2017-06-01
Esther Rheinbay Morten Muhlig Nielsen Federico Abascal Jeremiah A. Wala Ofer Shapira and 95 more Grace Tiao Henrik Hornshøj Julian M. Hess Randi Istrup Juul Ziao Lin Lars Feuerbach Radhakrishnan Sabarinathan Tobias Madsen Jaegil Kim Loris Mularoni Shimin Shuai Andrés Lanzós Carl Herrmann Yosef E. Maruvka Ciyue Shen Samirkumar B. Amin Pratiti Bandopadhayay Johanna Bertl Keith A. Boroevich John Busanovich Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan David Craft Priyanka Dhingra Klev Diamanti Nuno A. Fonseca Abel González-Pérez Qianyun Guo Mark P. Hamilton Nicholas J. Haradhvala Hong Chen Keren Isaev Todd A. Johnson Malene Juul André Kahles Abdullah Kahraman Young-Wook Kim Jan Komorowski Kiran Kumar Sushant Kumar Donghoon Lee Kjong-Van Lehmann Yilong Li Eric Minwei Liu Lucas Lochovsky Keunchil Park Oriol Pich Nicola D. Roberts Gordon Saksena Steven E. Schumacher Nikos Sidiropoulos Lina Sieverling Nasa Sinnott-Armstrong Chip Stewart David Tamborero José M. C. Tubío Husen M. Umer Liis Uusküla-Reimand Claes Wadelius Lina Wadi Xiaotong Yao Cheng‐Zhong Zhang Jing Zhang James E. Haber Asger Hobolth Marcin Imieliński Manolis Kellis Michael S. Lawrence Christian von Mering Hidewaki Nakagawa Benjamin J. Raphael Mark A. Rubin Chris Sander Lincoln D. Stein Joshua M. Stuart Tatsuhiko Tsunoda David A. Wheeler Rory Johnson Jüri Reimand Mark Gerstein Ekta Khurana Peter J. Campbell Núria López-Bigas Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita

The discovery of drivers cancer has traditionally focused on protein-coding genes

10.1038/s41586-020-1965-x article EN cc-by Nature 2020-02-05
Joana Carlevaro-Fita Andrés Lanzós Lars Feuerbach Chen Hong David Mas-Ponte and 95 more Jakob Skou Pedersen Federico Abascal Samirkumar B. Amin Gary D. Bader Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik G. Larsson Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martinez‐Fundichely Yosef E. Maruvka Patrick D. McGillivray Matthew Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Marta Paczkowska Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Jüri Reimand Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Sahinalp Gordon Saksena

Abstract Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for resource lncRNAs with validated roles. Furthermore, it remains debated whether mutated can drive tumorigenesis, and such functions could be conserved during evolution. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, we introduce Cancer LncRNA Census (CLC), compilation 122 GENCODE causal roles in phenotypes. In contrast to existing databases, CLC requires...

10.1038/s42003-019-0741-7 article EN cc-by Communications Biology 2020-02-05
Marta Paczkowska Jonathan Barenboim Nardnisa Sintupisut Natalie S. Fox Helen Zhu and 95 more Diala Abd-Rabbo Miles W. Mee Paul C. Boutros Federico Abascal Samirkumar B. Amin Gary D. Bader Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martinez‐Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander

Multi-omics datasets represent distinct aspects of the central dogma molecular biology. Such high-dimensional profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple using statistical fusion, rationalizes contributing evidence highlights associated genes. As part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing from...

10.1038/s41467-019-13983-9 article EN cc-by Nature Communications 2020-02-05
Matthew A. Reyna David Haan Marta Paczkowska Lieven P. C. Verbeke Miguél Vázquez and 95 more Abdullah Kahraman Sergio Pulido-Tamayo Jonathan Barenboim Lina Wadi Priyanka Dhingra Raunak Shrestha Gad Getz Michael S. Lawrence Jakob Skou Pedersen Mark A. Rubin David A. Wheeler Søren Brunak José M. G. Izarzugaza Ekta Khurana Kathleen Marchal Christian von Mering S. Cenk Şahinalp Alfonso Valencia Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Rameen Beroukhim Johanna Bertl Keith A. Boroevich John Busanovich Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Qianyun Guo Marta Gut Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Manolis Kellis Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik Larsson Donghoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Iñigo Martincorena Alexander Martinez‐Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Tirso Pons Iker Reyes-Salazar Esther Rheinbay Carlota Rubio-Pérez Gordon Saksena Leonidas Salichos Chris Sander

Abstract The catalog of cancer driver mutations in protein-coding genes has greatly expanded the past decade. However, non-coding are less well-characterized and only a handful recurrent mutations, most notably TERT promoter have been reported. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 across 38 tumor types, we perform multi-faceted pathway network analyses 2583 genomes 27 types compiled by PCAWG...

10.1038/s41467-020-14367-0 article EN cc-by Nature Communications 2020-02-05

Glioblastoma is the most common primary brain tumor in adults. While introduction of temozolomide chemotherapy has increased long-term survivorship, treatment failure and rapid recurrence remains universal. The transcriptional regulatory protein, inhibitor DNA-binding-1 (ID1), a key regulator cell phenotype cancer. We show that CRISPR-mediated knockout ID1 glioblastoma cells, breast adenocarcinoma melanoma cells dramatically reduced progression all three cancer systems through downregulation...

10.1158/0008-5472.can-18-1357 article EN Cancer Research 2019-07-10
Shimin Shuai Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay and 95 more Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Qianyun Guo Marta Gut David Haan Mark P. Hamilton Nicholas J. Haradhvala Arif O. Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Hong Chen Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong-Kwang Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik G. Larsson Michael S. Lawrence Donghoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martinez‐Fundichely Yosef E. Maruvka Patrick D. McGillivray Matthew Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Marta Paczkowska Keunchil Park Kiejung Park Jakob Skou Pedersen Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Jüri Reimand Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander Steven E. Schumacher Mark Shackleton Ofer Shapira Ciyue Shen Raunak Shrestha

Abstract The discovery of driver mutations is one the key motivations for cancer genome sequencing. Here , as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium which aggregated whole sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify in coding non-coding sites within genomes. Using total 1373 genomic features derived public sources, DriverPower’s...

10.1038/s41467-019-13929-1 article EN cc-by Nature Communications 2020-02-05

Abstract Discovery of cancer drivers has traditionally focused on the identification protein-coding genes. Here we present a comprehensive analysis putative driver mutations in both and non-coding genomic regions across >2,500 whole genomes from Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium. We developed statistically rigorous strategy for combining significance levels multiple discovery methods demonstrate that integrated results overcome limitations individual methods. combined...

10.1101/237313 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-12-23

Follicular lymphoma (FL) exhibits considerable variability in biological features and clinical trajectories across patients. To dissect the diversity of FL, we utilized a Bernoulli mixture model to identify genetic subtypes 713 pre-treatment tumor tissue samples. Our analysis revealed existence five with unique profiles that correlated clinicopathological characteristics. The clusters were enriched specific mutations as follows: CS (CREBBP STAT6), TT (TNFAIP3 TP53), GM (GNA13 MEF2B), Q...

10.1038/s41408-024-01111-w article EN cc-by-nc-nd Blood Cancer Journal 2024-08-07

Long non-coding RNAs (lncRNAs) are increasingly recognized as functional units in cancer and powerful biomarkers; however, most remain uncharacterized. Here, we analyze 5,592 prognostic lncRNAs 9,446 cancers of 30 types using machine learning. We identify 166 whose expression correlates with survival improves the accuracy common clinical variables, molecular features, subtypes. Prognostic often characterized by switch-like patterns. In low-grade gliomas, HOXA10-AS activation is a robust...

10.1016/j.celrep.2021.109873 article EN cc-by-nc-nd Cell Reports 2021-10-01

Abstract Purpose: The efficacy of EZH2 inhibition has been modest in the initial clinical exploration diffuse large B-cell lymphoma (DLBCL), yet inhibitors are well tolerated. Herein, we aimed to uncover genetic and pharmacologic opportunities enhance DLBCL. Experimental Design: We conducted a genome-wide sensitizing CRISPR/Cas9 screen with tazemetostat, catalytic inhibitor EZH2. effect IKZF1 loss function was then validated leveraged for combination treatment lenalidomide. RNA sequencing...

10.1158/1078-0432.ccr-20-4027 article EN Clinical Cancer Research 2021-06-24

In the face of rapidly accumulating genomic data, our understanding RNA regulatory code remains incomplete. Pre-trained foundation models offer an avenue to adapt learned representations biological prediction tasks. However, existing are trained using strategies borrowed from textual or visual domains, such as masked language modelling next token prediction, that do not leverage domain knowledge. Here, we introduce Orthrus, a Mamba-based model pre-trained novel self-supervised contrastive...

10.1101/2024.10.10.617658 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-10-12

Alternative splicing is an essential mechanism for diversifying proteins, in which mature RNA isoforms produce proteins with potentially distinct functions. Two major challenges characterizing the cellular function of are lack experimental methods to specifically and efficiently modulate isoform expression computational tools complex design. To address these gaps, we developed methodically tested a strategy pairs RNA-targeting CRISPR/Cas13d system guide RNAs that span exon-exon junctions...

10.1101/2023.09.12.557474 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-09-13

Abstract A comprehensive catalogue of the mutations that drive tumorigenesis and progression is essential to understanding tumor biology developing therapies. Protein-coding driver have been well-characterized by large exome-sequencing studies, however many tumors no in protein-coding genes. Non-coding are thought explain these cases, few non-coding drivers besides TERT promoter known. To fill this gap, we analyzed 150,000 cis -regulatory regions 1,844 whole cancer genomes from ICGC-TCGA...

10.1101/236802 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2017-12-19

Abstract There are limited data regarding the combined value of pretransplant Deauville score (DS) from a positron emission tomography scan and clinical risk factors in patients with relapsed/refractory aggressive non-Hodgkin lymphoma (NHL). We performed retrospective analysis to assess prognostic role DS NHL who underwent salvage chemotherapy autologous stem cell transplantation (ASCT). identified 174 eligible between January 2013 March 2019. In multivariable analysis, DS, B symptoms,...

10.1182/bloodadvances.2020002814 article EN cc-by-nc-nd Blood Advances 2020-11-20

Robotic assistance recently gains increasing popularity in spinal surgery. provides higher effectiveness and safety especially complex anatomy environment. 16 patients with degenerative disc disease were operated robotic device («SpineAssist»; MAZOR Surgical Technologies, Caesarea, Israel). The robot was used for automated intraoperative positioning of the instruments according to preoperatively planned trajectories. enabled optimal screw placement even anatomical cases (thin pedicles...

10.21823/2311-2905-2010-0-2-62-63 article EN cc-by Traumatology and Orthopedics of Russia 2010-08-17

<div>Abstract<p>Glioblastoma is the most common primary brain tumor in adults. While introduction of temozolomide chemotherapy has increased long-term survivorship, treatment failure and rapid recurrence remains universal. The transcriptional regulatory protein, inhibitor DNA-binding-1 (ID1), a key regulator cell phenotype cancer. We show that CRISPR-mediated knockout ID1 glioblastoma cells, breast adenocarcinoma melanoma cells dramatically reduced progression all three cancer...

10.1158/0008-5472.c.6511136.v1 preprint EN 2023-03-31
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