Evidence map›Paper›PMID 23867512›Full record

ReviewCancer journal (Sudbury, Mass.)

Novel targeting of phosphatidylinositol 3-kinase and mammalian target of rapamycin in renal cell carcinoma.

Daniel Cho

Open access · greenAbstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The PI3K/AKT Pathway and Renal Cell Carcinoma.Journal of genetics and genomics = Yi chuan xue bao · 2015
    Review
  8. Review
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

1 author at 1 institution in 1 country.

Daniel ChoExperimental Therapeutics, Division of Hematology and Oncology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Beth Israel Deaconess Medical Center · US

Funding

Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Wanling Xie · 2003 to 2026
$53.4M
Targeting the PI3-Kinase/Akt Pathway for the Therapy of Renal Cell CarcinomaK08CA142890 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CHO, DANIEL CHANG · 2009 to 2013
$847k
NCI NIH HHS K08 CA142890NCI NIH HHS K08CA142890NCI NIH HHS P50 CA101942NCI NIH HHS P50CA101942
6 · The paper itself

Abstract

Allosteric inhibitors of the kinase mammalian target of rapamycin (mTOR) have demonstrated significant clinical activity in patients with advanced renal cell carcinoma (RCC). Unfortunately, substantial clinical responses to these rapalogues are seen only in a subset of patients with advanced RCC. Preclinical studies have identified multiple theoretical shortcomings of the rapalogues, and numerous novel agents directed against the phosphatidylinositol 3-kinase/Akt/mTOR pathway, which address many of these shortcomings, are in active clinical development. In this review, we discuss the preclinical and clinical experience with the rapalogues in RCC, potential mechanisms of resistance to the rapalogues, and the progress in the clinical development of novel agents directed against the phosphatidylinositol 3-kinase/Akt/mTOR pathway.

Indexed as

AnimalsCarcinoma, Renal CellHumansNeoplasm StagingPhosphatidylinositol 3-KinaseProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSignal TransductionSirolimusTOR Serine-Threonine KinasesMTOR protein, humanPhosphatidylinositol 3-KinaseProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSirolimusTOR Serine-Threonine Kinases

Identifiers

PMID23867512
PMCPMC3934425
OpenAlexW2320222164

What OpenQuestion holds

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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.