Evidence map›Paper›PMID 21364689›Full record

ReviewNature reviews. Clinical oncology2011

Targeted therapy in GIST: in silico modeling for prediction of resistance.

Marco A Pierotti, Elena Tamborini, Tiziana Negri, Sabrina Pricl, Silvana Pilotti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Noncoding RNAs in Drug Resistance of Gastrointestinal Stromal Tumor.Frontiers in cell and developmental biology · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Role of Mast Cells in Molding the Tumor Microenvironment.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2015
    Article
  13. Article
  14. Role of genetic and molecular profiling in sarcomas.Current treatment options in oncology · 2015
    Review
  15. Article
  16. Article
  17. Molecular dynamics reveal BCR-ABL1 polymutants as a unique mechanism of resistance to PAN-BCR-ABL1 kinase inhibitor therapy.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Marco A PierottiFondazione IRCCS Istituto Nazionale dei Tumori-Milano, via Venezian 1, 20133 Milano, Italy.
Elena Tamborini
Tiziana Negri
Sabrina Pricl
Silvana Pilotti
Fondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidation of the genetic processes leading to neoplastic transformation has identified cancer-promoting molecular alterations that can be selectively targeted by rationally designed therapeutic agents. Protein kinases are druggable targets and have been studied intensively. New methodologies--including crystallography and three-dimensional modeling--have allowed the rational design of potent and selective kinase inhibitors that have already reached the clinical stage. However, despite the clinical success of kinase-targeted therapies, most patients that respond eventually relapse as a result of acquired resistance. Darwinian-type selection of secondary mutations seems to have a major role in this resistance. The emergence and/or expansion of tumor clones containing new mutations in the target kinase and that are drug-insensitive have been observed after chronic treatment. The resistance mechanisms to tyrosine kinase inhibitors, in particular secondary resistant mutations as a consequence of treatment, will be discussed in detail. In particular, this Review will focus on KIT and PDGFRA mutations, which are involved in the pathogenesis of gastrointestinal stromal tumors. Harnessing the selection of mutated variants developed to overcome these resistance mechanisms is an ongoing goal of current research and new strategies to overcome drug resistance is being envisaged.

Indexed as

Models, MolecularModels, StatisticalDrug Resistance, NeoplasmGastrointestinal Stromal TumorsHumansProtein Kinase InhibitorsProtein-Tyrosine KinasesProtein Kinase InhibitorsProtein-Tyrosine Kinases

Identifiers

PMID21364689
OpenAlexW2052137302

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.