Evidence map›Paper›PMID 25838158›Full record

ArticleClinical lung cancer2015

Bridging tumor genomics to patient outcomes through an integrated patient-derived xenograft platform.

David R Gandara, Philip C Mack, Carol Bult, Tianhong Li, Primo N Lara, Jonathan W Riess, Stephanie H Astrow, Regina Gandour-Edwards, David T Cooke, Ken Y Yoneda and 9 more

Abstract read
In one paragraph

Article in Clinical lung cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

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

19 authors.

David R GandaraUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA. Electronic address: david.gandara@ucdmc.ucdavis.edu.
Philip C MackUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Carol BultThe Jackson Laboratory, Bar Harbor, ME and Sacramento, CA.
Tianhong LiUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Primo N LaraUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Jonathan W RiessUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Stephanie H AstrowResponse Genetics, Inc, Los Angeles, CA.
Regina Gandour-EdwardsUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
David T CookeUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Ken Y YonedaUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Elizabeth H MooreUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Chong-Xian PanUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Rebekah A BurichUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Elizabeth A DavidUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
James G KeckThe Jackson Laboratory, Bar Harbor, ME and Sacramento, CA.
Susan AirhartThe Jackson Laboratory, Bar Harbor, ME and Sacramento, CA.
Neal GoodwinThe Jackson Laboratory, Bar Harbor, ME and Sacramento, CA.
Ralph W de Vere WhiteUniversity of California, Davis Comprehensive Cancer Center, Sacramento, CA.
Edison T LiuThe Jackson Laboratory, Bar Harbor, ME and Sacramento, CA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Charles G Wray · 1985 to 2026
$61.9M
Mouse Models of Human Cancer DatabaseR01CA089713 · NCI · JACKSON LABORATORY · PI BULT, CAROL J · 2002 to 2025
$17.5M
Integrated Translational Cancer Science CenterU10CA180944 · NCI · COLD SPRING HARBOR LABORATORY · PI BAKER, LAURENCE HOWARD, LIU, EDISON TAK-BUN · 2014 to 2018
$2.0M
Development of targeting nanotherapeutics against bladder cancerI01BX001784 · VA · VA NORTHERN CALIFORNIA HEALTH CARE SYS · PI PAN, CHONG-XIAN · 2014 to 2017
–
BLRD VA I01 BX001784NCI NIH HHS CA089713NCI NIH HHS P30 CA034196NCI NIH HHS P30CA034196NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA089713NCI NIH HHS U10 CA180944
6 · The paper itself

Abstract

New approaches to optimization of cancer drug development in the laboratory and the clinic will be required to fully achieve the goal of individualized, precision cancer therapy. Improved preclinical models that more closely reflect the now recognized genomic complexity of human cancers are needed. Here we describe a collaborative research project that integrates core resources of The Jackson Laboratory Basic Science Cancer Center with genomics and clinical research facilities at the UC Davis Comprehensive Cancer Center to establish a clinically and genomically annotated patient-derived xenograft (PDX) platform designed to enhance new drug development and strategies for targeted therapies. Advanced stage non-small-cell lung cancer (NSCLC) was selected for initial studies because of emergence of a number of "druggable" molecular targets, and recent recognition of substantial inter- and intrapatient tumor heterogeneity. Additionally, clonal evolution after targeted therapy interventions make this tumor type ideal for investigation of this platform. Using the immunodeficient NOD scid gamma mouse, > 200 NSCLC tumor biopsies have been xenotransplanted. During the annotation process, patient tumors and subsequent PDXs are compared at multiple levels, including histomorphology, clinically applicable molecular biomarkers, global gene expression patterns, gene copy number variations, and DNA/chromosomal alterations. NSCLC PDXs are grouped into panels of interest according to oncogene subtype and/or histologic subtype. Multiregimen drug testing, paired with next-generation sequencing before and after therapy and timed tumor pharmacodynamics enables determination of efficacy, signaling pathway alterations, and mechanisms of sensitivity-resistance in individual models. This approach should facilitate derivation of new therapeutic strategies and the transition to individualized therapy.

Indexed as

GenomicsAnimalsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsMiceMice, Inbred NODMice, SCIDXenograft Model Antitumor AssaysAntineoplastic AgentsClinical trialsLung cancerMouse modelPatient derived xenograft

Identifiers

PMID25838158
PMCPMC4586173

What OpenQuestion holds

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Registered trials

None linked

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.