Evidence map›Paper›PMID 20708654›Full record

ReviewBiochimica et biophysica acta2010

Validating cancer drug targets through chemical genetics.

Mark E Burkard, Prasad V Jallepalli

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2010. 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
1.2field-weighted citation impact, top 19% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. [Targeting the signaling pathways in cancer therapy].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2012
    Article
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

2 authors at 2 institutions in 1 country.

Mark E BurkardUniversity of Wisconsin Carbone Cancer Center and Department of Medicine, University of Wisconsin, Madison, WI 53792, USA. mburkard@wisc.edu
Prasad V Jallepalli
Memorial Sloan Kettering Cancer Center · USUniversity of Wisconsin Carbone Cancer Center · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Regulation of Chromosome Segregation in Human CellsR01GM094972 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI JALLEPALLI, PRASAD V · 2010 to 2021
$5.3M
NCI NIH HHS P30 CA014520NCI NIH HHS P30 CA086862NCRR NIH HHS UL1 RR025011NIGMS NIH HHS R01 GM094972
6 · The paper itself

Abstract

Targeted therapies for cancer promise to revolutionize treatment by specifically inactivating pathways needed for the growth of tumor cells. The most prominent example of such therapy is imatinib (Gleevec), which targets the BCR-ABL kinase and provides an effective low-toxicity treatment for chronic myelogenous leukemia. This success has spawned myriad efforts to develop similarly targeted drugs for other cancers. Unfortunately, the high expectations of these efforts have not yet been realized, likely due to the genetic diversity among and within tumors, as well as the complex and largely unpredictable interactions of drug-like compounds with innumerable targets that affect cellular and organismal metabolism. While improvements in sequencing technologies are beginning to address the first problem, solving the second problem requires methods for linking specific features of the cancer genome to their optimally targeted therapies. One approach, referred to as chemical genetics, accomplishes this by genetic control of chemical susceptibility. Chemical genetics is a crucial tool for the rational development of cancer drugs.

Indexed as

Drug DiscoveryAnimalsAntineoplastic AgentsDrug Resistance, NeoplasmGenes, rasHumansMutationProtein Kinase InhibitorsSignal TransductionAntineoplastic AgentsProtein Kinase Inhibitors

Identifiers

PMID20708654
PMCPMC3028588
OpenAlexW2041182374

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.