Evidence map›Paper›PMID 28770278›Full record

ArticleCancer immunology, immunotherapy : CII2017

An unbiased in vivo functional genomics screening approach in mice identifies novel tumor cell-based regulators of immune rejection.

Casey W Shuptrine, Reham Ajina, Elana J Fertig, Sandra A Jablonski, H Kim Lyerly, Zachary C Hartman, Louis M Weiner

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Casey W ShuptrineDepartment of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington DC, 20057, USA.
Reham AjinaDepartment of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington DC, 20057, USA.
Elana J FertigDepartment of Oncology, Division of Biostatistics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
Sandra A JablonskiDepartment of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington DC, 20057, USA.
H Kim LyerlyDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Zachary C HartmanDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Louis M WeinerDepartment of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3970 Reservoir Road NW, Washington DC, 20057, USA. weinerl@georgetown.edu.
Duke Medical Center · USGeorgetown University · USGeorgetown University Medical Center · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
TARGETED IMMUNOTHERAPY USING BISPECIFIC ANTIBODIESR01CA050633 · NCI · GEORGETOWN UNIVERSITY · PI WEINER, LOUIS M. · 1989 to 2018
$6.5M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA050633NCI NIH HHS T32 CA009686
6 · The paper itself

Abstract

The clinical successes of immune checkpoint therapies for cancer make it important to identify mechanisms of resistance to anti-tumor immune responses. Numerous resistance mechanisms have been identified employing studies of single genes or pathways, thereby parsing the tumor microenvironment complexity into tractable pieces. However, this limits the potential for novel gene discovery to in vivo immune attack. To address this challenge, we developed an unbiased in vivo genome-wide RNAi screening platform that leverages host immune selection in strains of immune-competent and immunodeficient mice to select for tumor cell-based genes that regulate in vivo sensitivity to immune attack. Utilizing this approach in a syngeneic triple-negative breast cancer (TNBC) model, we identified 709 genes that selectively regulated adaptive anti-tumor immunity and focused on five genes (CD47, TGFβ1, Sgpl1, Tex9 and Pex14) with the greatest impact. We validated the mechanisms that underlie the immune-related effects of expression of these genes in different TNBC lines, as well as tandem synergistic interactions. Furthermore, we demonstrate the impact of different genes with previously unknown immune functions (Tex9 and Pex14) on anti-tumor immunity. Thus, this innovative approach has utility in identifying unknown tumor-specific regulators of immune recognition in multiple settings to reveal novel targets for future immunotherapies.

Indexed as

AnimalsCell Line, TumorFemaleGenomicsHumansImmunotherapyMiceMice, Inbred BALB CTransfectionTriple Negative Breast NeoplasmsCancer-derived resistance to immunotherapyFunctional genomicsIn Vivo Genome-wide RNAi ScreenTriple-negative breast cancer

Identifiers

PMID28770278
PMCPMC5854209
OpenAlexW2739918486

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.