Evidence map›Paper›PMID 32499234›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer.

Nicholas R Perkons, Omar Johnson, Gabrielle Pilla, Enri Profka, Michael Mercadante, Daniel Ackerman, Terence P F Gade

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. 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
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Efficient Parahydrogen-InducedJournal of the American Chemical Society · 2024
    Article
  3. Review
  4. Exploring liver cancer biology through functional genetic screens.Nature reviews. Gastroenterology & hepatology · 2021
    Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Nicholas R PerkonsPenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-4857-5375
Omar JohnsonPenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.
Gabrielle PillaPenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.
Enri ProfkaPenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.
Michael MercadantePenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.
Daniel AckermanPenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-3466-5444
Terence P F GadePenn Image Guided Interventions Laboratory, University of Pennsylvania, Philadelphia, Pennsylvania. gadet@pennmedicine.upenn.edu.ORCID 0000-0001-8783-0661
Guided Therapeutics (United States) · US

Funding

Image-Based Phenotyping of Hepatocellular Carcinoma Cell Survival Under Ischemic Stress: Toward Metabolic Imaging of Cancer Dormancy Using Hyperpolarized Carbon-13 TechnologyDP5OD021391 · OD · UNIVERSITY OF PENNSYLVANIA · PI GADE, TERENCE P · 2015 to 2019
$2.0M
Molecular imaging meets big data: a systems-level approach for application-driven, unbiased selection of metabolic imaging substrates for visualization of cancer dormancyF30CA232388 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PERKONS, NICHOLAS RAINER · 2018 to 2020
$114k
NCI NIH HHS F30 CA232388NIH HHS DP5 OD021391
6 · The paper itself

Abstract

purposeTargeted therapies for cancer have accelerated the need for functional imaging strategies that inform therapeutic efficacy. This study assesses the potential of functional genetic screening to integrate therapeutic target identification with imaging probe selection through a proof-of-principle characterization of a therapy-probe pair using dynamic nuclear polarization (DNP)-enhanced magnetic resonance spectroscopic imaging (MRSI). EXPERIMENTAL

designCRISPR-negative selection screens from a public dataset were used to identify the relative dependence of 625 cancer cell lines on 18,333 genes. Follow-up screening was performed in hepatocellular carcinoma with a focused CRISPR library targeting imaging-related genes. Hyperpolarized [1-

resultsGenetic screening data identified differential metabolic vulnerabilities in 17 unique cancer types that could be imaged with existing probes. Among these, hepatocellular carcinoma required lactate dehydrogenase (LDH) for growth more than the 29 other cancer types in this database. LDH inhibition led to a decrease in lactate generation (

conclusionsThese findings demonstrate that DNP-MRSI of LDH activity using hyperpolarized [1-

Indexed as

AnimalsCarbon-13 Magnetic Resonance SpectroscopyCarcinoma, HepatocellularCRISPR-Cas SystemsDatasets as TopicDiethylnitrosamineEarly Detection of CancerHumansLactic AcidLiverLiver NeoplasmsLiver Neoplasms, ExperimentalL-Lactate DehydrogenaseMaleMolecular ImagingMolecular ProbesDiethylnitrosamineLactic AcidL-Lactate DehydrogenaseMolecular ProbesPyruvic Acid

Identifiers

PMID32499234
PMCPMC7483881
OpenAlexW3033176087

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.