Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 48% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
14 authors at 4 institutions in 1 country.
Benjamin J HuangDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0001-6996-0833
Anica M WandlerDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-2404-3318
Lauren K MeyerDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.
Monique DailDepartment of Oncology Biomarker Development, Genentech, South San Francisco, CA, United States of America.ORCID 0000-0002-2687-8829
Anneleen DaemenDepartment of Bioinformatics & Computational Biology, Genentech, South San Francisco, CA, United States of America.ORCID 0000-0001-6287-7105
Deepak SampathDepartment of Translational Oncology, Genentech, South San Francisco, CA, United States of America.
Qing LiDivision of Hematology/Oncology, Department of Medicine, University of Michigan, Ann Arbor, MI, United States of America.
Xinyue WangDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-9187-5472
Jasmine C WongDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-2564-8095
Joy NakitandweDepartment of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
James R DowningDepartment of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Jinghui ZhangDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.ORCID 0000-0003-3350-9682
Barry S TaylorMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America.
Kevin ShannonDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0003-4299-1773
University of California, San Francisco · USSt. Jude Children's Research Hospital · USMemorial Sloan Kettering Cancer Center · USUniversity of Michigan · US
Funding
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
MSKCC Pilot Center for Precision Disease ModelingU54OD020355 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SOLIT, DAVID B. · 2015 to 2019
$9.9M
Research Training in Childhood CancerT32CA128583 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eric Alejandro Sweet-Cordero · 2007 to 2026
$6.0M
Translational Investigation of KRas & NF1 in Myeloid LeukemiaR37CA072614 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHANNON, KEVIN M. · 2007 to 2016
$3.4M
Understanding Long Tail Driver Mutations in CancerR01CA204749 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHULTZ, NIKOLAUS · 2017 to 2021
$2.0M
Oncogenic Nras signaling in leukemic stem cell transformationR01HL132392 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LI, QING · 2016 to 2020
$1.9M
(PQD1) Response and Resistance to Inhibitors of Ras Effectors in Blood CancersR01CA180037 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHANNON, KEVIN M. · 2013 to 2016
$1.3M
Biologic and Preclinical Studies of Myeloid MalignanciesR50CA211452 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WONG, JASMINE CHING YING · 2016 to 2020
The lack of predictive preclinical models is a fundamental barrier to translating knowledge about the molecular pathogenesis of cancer into improved therapies. Insertional mutagenesis (IM) in mice is a robust strategy for generating malignancies that recapitulate the extensive inter- and intra-tumoral genetic heterogeneity found in advanced human cancers. While the central role of "driver" viral insertions in IM models that aberrantly increase the expression of proto-oncogenes or disrupt tumor suppressors has been appreciated for many years, the contributions of cooperating somatic mutations and large chromosomal alterations to tumorigenesis are largely unknown. Integrated genomic studies of T lineage acute lymphoblastic leukemias (T-ALLs) generated by IM in wild-type (WT) and Kras mutant mice reveal frequent point mutations and other recurrent non-insertional genetic alterations that also occur in human T-ALL. These somatic mutations are sensitive and specific markers for defining clonal dynamics and identifying candidate resistance mechanisms in leukemias that relapse after an initial therapeutic response. Primary cancers initiated by IM and resistant clones that emerge during in vivo treatment close key gaps in existing preclinical models, and are robust platforms for investigating the efficacy of new therapies and for elucidating how drug exposure shapes tumor evolution and patterns of resistance.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Convergent genetic aberrations in murine and human T lineage acute lymphoblastic leukemias. · full record | OpenQuestion