Ken Chen

Dr. Ken Chen

Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
orcid
Professor

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 January 2021 in Nature Biotechnology
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RGRuli Gao
Ruli Gao
SBShanshan Bai
Shanshan Bai
YHYing C. Henderson
Ying C. Henderson
YLYiyun Lin
Yiyun Lin
ASAislyn Schalck
Aislyn Schalck
NNNicholas E. Navin
Nicholas E. Navin

16 April 2019 in Nature Communications
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Journal Article
Open access
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MCMark J. P. Chaisson
Mark J. P. Chaisson
ASAshley D. Sanders
Ashley D. Sanders
XZXuefang Zhao
Xuefang Zhao
AMAnkit Malhotra
Ankit Malhotra
DPDavid Porubsky
David Porubsky
CLCharles Lee
Charles Lee
The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.

18 January 2024 in Nature Medicine
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DMDavid Marin
David Marin
YLYe Li
Ye Li
RBRafet Basar
Rafet Basar
HRHind Rafei
Hind Rafei
MDMay Daher
May Daher
KRKatayoun Rezvani
Katayoun Rezvani
There is a pressing need for allogeneic chimeric antigen receptor (CAR)-immune cell therapies that are safe, effective and affordable. We conducted a phase 1/2 trial of cord blood-derived natural killer (NK) cells expressing anti-CD19 chimeric antigen receptor and interleukin-15 (CAR19/IL-15) in 37 patients with CD19+ B cell malignancies. The primary objectives were safety and efficacy, defined as day 30 overall response (OR). Secondary objectives included day 100 response, progression-free survival, overall survival and CAR19/IL-15 NK cell persistence. No notable toxicities such as cytokine release syndrome, neurotoxicity or graft-versus-host disease were observed. The day 30 and day 100 OR rates were 48.6% for both. The 1-year overall survival and progression-free survival were 68% and 32%, respectively. Patients who achieved OR had higher levels and longer persistence of CAR-NK cells. Receiving CAR-NK cells from a cord blood unit (CBU) with nucleated red blood cells ≤ 8 × 107 and a collection-to-cryopreservation time ≤ 24 h was the most significant predictor for superior outcome. NK cells from these optimal CBUs were highly functional and enriched in effector-related genes. In contrast, NK cells from suboptimal CBUs had upregulation of inflammation, hypoxia and cellular stress programs. Finally, using multiple mouse models, we confirmed the superior antitumor activity of CAR/IL-15 NK cells from optimal CBUs in vivo. These findings uncover new features of CAR-NK cell biology and underscore the importance of donor selection for allogeneic cell therapies. ClinicalTrials.gov identifier: NCT03056339.

5 February 2020 in Nature Genetics
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BRBernardo Rodriguez-Martin
Bernardo Rodriguez-Martin
EAEva G. Alvarez
Eva G. Alvarez
ABAdrian Baez-Ortega
Adrian Baez-Ortega
JZJorge Zamora
Jorge Zamora
FSFran Supek
Fran Supek
JTJose M. C. Tubio
Jose M. C. Tubio
About half of all cancers have somatic integrations of retrotransposons. Here, to characterize their role in oncogenesis, we analyzed the patterns and mechanisms of somatic retrotransposition in 2,954 cancer genomes from 38 histological cancer subtypes within the framework of the Pan-Cancer Analysis of Whole Genomes (PCAWG) project. We identified 19,166 somatically acquired retrotransposition events, which affected 35% of samples and spanned a range of event types. Long interspersed nuclear element (LINE-1; L1 hereafter) insertions emerged as the first most frequent type of somatic structural variation in esophageal adenocarcinoma, and the second most frequent in head-and-neck and colorectal cancers. Aberrant L1 integrations can delete megabase-scale regions of a chromosome, which sometimes leads to the removal of tumor-suppressor genes, and can induce complex translocations and large-scale duplications. Somatic retrotranspositions can also initiate breakage–fusion–bridge cycles, leading to high-level amplification of oncogenes. These observations illuminate a relevant role of 22 L1 retrotransposition in remodeling the cancer genome, with potential implications for the development of human tumors.

15 June 2020 in Nature Biotechnology
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JZJustin M. Zook
Justin M. Zook
NHNancy F. Hansen
Nancy F. Hansen
NONathan Olson
Nathan Olson
LCLesley Chapman
Lesley Chapman
JMJames C. Mullikin
James C. Mullikin
MSMarc Salit
Marc Salit

28 June 2023 in Nature
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TKTapsi Kumar
Tapsi Kumar
KNKevin Nee
Kevin Nee
RWRunmin Wei
Runmin Wei
SHSiyuan He
Siyuan He
QNQuy H. Nguyen
Quy H. Nguyen
NNNicholas Navin
Nicholas Navin