Evidence map›Paper›PMID 20510205›Full record

ReviewBiochemical pharmacology2010

Fine tuning chemotherapy to match BRCA1 status.

Melissa Price, Alvaro N A Monteiro

Abstract readReview
In one paragraph

Review in Biochemical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Preclinical evaluation of radiation therapy ofInternational journal of biological sciences · 2021
    Article
  2. Review
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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

2 authors at 2 institutions in 1 country.

Melissa PriceRisk Assessment, Detection, and Intervention Program, H. Lee Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL 33612, USA.
Alvaro N A Monteiro
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

Ponce School of Medicine - Moffitt Cancer Center PartnershipU56CA118809 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI PLEDGER, WARREN JACKSON · 2006 to 2011
$3.0M
BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
NCI NIH HHS R01 CA116167NCI NIH HHS U56 CA 118809NCI NIH HHS U56 CA118809
6 · The paper itself

Abstract

Targeted cancer therapies have been primarily directed at inhibiting oncogenes that are overexpressed or constitutively active in tumors. It is thought that as the cell's circuitry gets re-wired by the constitutive activation of some pathways it becomes exquisitely dependent on this activity. Tumor cell death normally results from inhibiting constitutively active pathways. The dependence of tumor cells on the activity of these pathways has been called oncogene addiction. Approaches that aim to exploit loss of function, rather than gain of function changes have also become a powerful addition to our arsenal of cancer therapies. In particular, when tumors acquire mutations that disrupt pathways in the DNA damage response they rely on alternative pathways that can be targeted pharmacologically. Here we review the use of BRCA1 as a marker of response to therapy with a particular focus on the use of Cisplatin and PARP inhibitors. We also explore the use of BRCA1 as a marker of response to microtubule inhibitors and how all these approaches will bring us closer to the goal of personalized medicine in cancer treatment.

Indexed as

Genes, BRCA1Antineoplastic AgentsBiomarkers, TumorCloning, MolecularDNA DamageHumansNeoplasmsPrognosisAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID20510205
PMCPMC2925507
OpenAlexW1989330232

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.