Evidence map›Paper›PMID 21533544›Full record

ReviewTargeted oncology2011

Predictive biomarkers for the activity of mammalian target of rapamycin (mTOR) inhibitors.

Catherine Delbaldo, Sébastien Albert, Chantal Dreyer, Marie-Paule Sablin, Maria Serova, Eric Raymond, Sandrine Faivre

Abstract readReview
PubMed Publisher
In one paragraph

Review in Targeted oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 37 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 1 institution in 1 country.

Catherine DelbaldoParis Nord Val de Seine University Hospitals, Clichy, Paris, France.
Sébastien Albert
Chantal Dreyer
Marie-Paule Sablin
Maria Serova
Eric Raymond
Sandrine Faivre
Hôpital Beaujon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the quest for personalized medicine, only a few biological parameters are routinely used to select patients prior to the initiation of anticancer targeted therapies, including mTOR inhibitors. Identifying biological factors that may predict efficacy or resistance to mTOR inhibitors represents an important challenge since rapalogs may exert antitumor effects through multiple mechanisms of action. Despite the fact that no such a factor is currently available, several molecular patterns are emerging, correlating with sensitivity and/or resistance to rapalogs. While activation of the phosphatidylinositol 3 kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) pathway, overexpression of cyclin D1, and functional apoptosis seem to sensitize tumor cells to rapalogs, Bcl2 overexpression or KRAS mutations are reported to be associated with resistance to mTOR inhibitors in several preclinical models. Translational research aimed at validating those parameters in clinical trials is ongoing.

Indexed as

AnimalsBiomarkers, TumorHumansNeoplasmsProtein Kinase InhibitorsSirolimusTOR Serine-Threonine KinasesBiomarkers, TumorMTOR protein, humanProtein Kinase InhibitorsSirolimusTOR Serine-Threonine Kinases

Identifiers

PMID21533544
OpenAlexW2055359615

What OpenQuestion holds

Textmetadata
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.