Evidence map›Paper›PMID 20443070›Full record

ReviewTargeted oncology2010

Impact of biomarkers on non-small cell lung cancer treatment.

Luca Toschi, Federico Cappuzzo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Targeted oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. [Role of RRM1 in the Treatment and Prognosis of Advanced Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2015
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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 2 countries.

Luca ToschiDana-Farber Cancer Institute, Boston, MA 02215, USA. luca_toschi@dfci.harvard.edu
Federico Cappuzzo
Dana-Farber Cancer Institute · USIRCCS Humanitas Research Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy represents the mainstay of non-small cell lung cancer (NSCLC) treatment, but response is usually observed in only one out of three patients. Massive efforts have been carried out to identify biomarkers that might help clinicians to choose appropriate drugs, by identifying potentially sensitive subjects and spare toxicities in patients who are unlikely to benefit from treatment. Low excision repair cross-complementation group 1 (ERCC1) and ribonucleotide reductase M1 (RRM1) levels have been associated with increased sensitivity to cisplatin and gemcitabine, respectively, while reduced class III beta-tubulin expression has been associated with taxane activity. Initial prospective studies showed the feasibility of a customized approach based on biomarker assessment, and phase III trials will hopefully provide further validation of this approach. The impact of biomarkers for patient selection has now been well established for tyrosine kinase inhibitors (TKIs) of the epidermal growth factor receptor (EGFR), with EGFR mutations emerging as the most reliable predictor for improved outcome. Relevant clinical issues are represented by the identification of patients who can be reasonably excluded from treatment and by the development of therapeutic approaches able to overcome acquired resistance to anti-EGFR strategies.

Indexed as

Antineoplastic AgentsBiomarkers, PharmacologicalCarcinoma, Non-Small-Cell LungCisplatinDeoxycytidineDNA-Binding ProteinsDrug Resistance, NeoplasmEndonucleasesErbB ReceptorsGemcitabineHumansLung NeoplasmsPrognosisRibonucleoside Diphosphate ReductaseTaxoidsTubulinAntineoplastic AgentsBiomarkers, PharmacologicalCisplatinDeoxycytidineDNA-Binding ProteinsEGFR protein, humanEndonucleasesErbB ReceptorsERCC1 protein, humanGemcitabineRibonucleoside Diphosphate ReductaseRRM1 protein, humanTaxoidsTUBB3 protein, humanTubulinTumor Suppressor Proteins

Identifiers

PMID20443070
OpenAlexW2069278782

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.