Evidence map›Paper›PMID 22941562›Full record

ReviewImmunologic research2013

Using functional genomics to overcome therapeutic resistance in hematological malignancies.

Francesca Alvarez-Calderon, Mark A Gregory, James DeGregori

Open access · greenAbstract readReview
In one paragraph

Review in Immunologic research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Heliyon · 2024
    Review
  5. Review
  6. Article
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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

3 authors at 2 institutions in 1 country.

Francesca Alvarez-CalderonIntegrated Department of Immunology, National Jewish Health, Denver, CO, USA.
Mark A Gregory
James DeGregori
University of Colorado Denver · USNational Jewish Health · US

Funding

Rationally designed targeted therapeutic approaches for NSCLCR01CA157850 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2011 to 2015
$1.5M
Targeting an ATM-dependent metabolic pathway and FLT3 for AML therapyK22CA172757 · NCI · UNIVERSITY OF COLORADO DENVER · PI GREGORY, MARK A · 2012 to 2014
$408k
Targeting Wnt/Ca2+ Pathway components and Bcr-Abl for the treatment of CMLK01CA133182 · NCI · UNIVERSITY OF COLORADO DENVER · PI GREGORY, MARK A · 2009 to 2011
$338k
Exploiting altered glucose utilization in Bcr-Abl+ LeukemiaF31CA157166 · NCI · UNIVERSITY OF COLORADO DENVER · PI ALVAREZ CALDERON, FRANCESCA · 2010 to 2013
$142k
NCI NIH HHS F31 CA157166NCI NIH HHS F31-CA157166NCI NIH HHS K01 CA133182NCI NIH HHS K01-CA133182NCI NIH HHS K22 CA172757NCI NIH HHS R01 CA157850NCI NIH HHS R01-CA157850
6 · The paper itself

Abstract

Despite great advances in our understanding of the driving events involved in malignant transformation, only a small number of oncogenic drivers have been targeted and translated into tangible clinical benefit. Moreover, even when a targeted therapy can be shown to effectively inhibit an oncogenic driver, leading to cancer remission, disease persistence and/or relapse is typically inevitable. Reemergence of the cancer can result from either intrinsic or acquired resistance mechanisms that result in failure to eliminate all cancer cells. Intrinsic mechanisms of resistance include tumor heterogeneity and pathways that can compensate for the inhibition of the oncogenic driver. Acquired resistance mechanisms include mutation of the oncogenic driver to directly prevent drug-mediated inhibition and the activation of compensatory survival pathways. RNA interference (RNAi)-based screening provides a powerful approach for the interrogation of both intrinsic and acquired resistance mechanisms. The availability of short interfering (si)RNA libraries targeting all human and mouse genes has made it possible to perform large-scale unbiased screens to identify pathways that are specifically required in cancer cells of particular genotypes or following particular treatments, facilitating the design of potential new therapeutic strategies that may limit resistance mechanisms. In this review, we will discuss how RNAi screens can be used to uncover critical growth and survival pathways and aid in the identification of novel therapeutic targets for improved treatment of hematological malignancies.

Indexed as

RNA InterferenceAnimalsDrug Resistance, NeoplasmGenomicsHematologic NeoplasmsHumansRNA, Small InterferingRNA, Small Interfering

Identifiers

PMID22941562
PMCPMC3673782
OpenAlexW2093060745

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.