Evidence map›Paper›PMID 27433281›Full record

ReviewEcancermedicalscience2016

Targeted therapies and immunotherapy in non-small-cell lung cancer.

D Cortinovis, M Abbate, P Bidoli, S Capici, S Canova

Open access · goldAbstract readReview
In one paragraph

Review in Ecancermedicalscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
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  6. Review
  7. Article
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  15. New Horizons inFrontiers in oncology · 2019
    Review
  16. Review
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  18. Article
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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

5 authors at 1 institution in 1 country.

D CortinovisMedical Oncology Unit, AOU San Gerardo, via Giambattista Pergolesi 33, 20900 Monza, Italy.
M AbbateMedical Oncology Unit, AOU San Gerardo, via Giambattista Pergolesi 33, 20900 Monza, Italy.
P BidoliMedical Oncology Unit, AOU San Gerardo, via Giambattista Pergolesi 33, 20900 Monza, Italy.
S CapiciMedical Oncology Unit, AOU San Gerardo, via Giambattista Pergolesi 33, 20900 Monza, Italy.
S CanovaMedical Oncology Unit, AOU San Gerardo, via Giambattista Pergolesi 33, 20900 Monza, Italy.
Azienda Ospedaliera San Gerardo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small-cell lung cancer is still considered a difficult disease to manage because of its aggressiveness and resistance to common therapies. Chemotherapy remains the gold standard in nearly 80% of lung cancers, but clinical outcomes are discouraging, and the impact on median overall survival (OS) barely reaches 12 months. At the end of the last century, the discovery of oncogene-driven tumours completely changed the therapeutic landscape in lung cancers, harbouring specific gene mutations/translocations. Epidermal growth factors receptor (EGFR) common mutations first and anaplastic lymphoma kinase (ALK) translocations later led new insights in lung cancer biology knowledge. The use of specific tyrosine kinases inhibitors overturned the biological behaviour of EGFR mutation positive tumours and became a preclinical model to understand the heterogeneity of lung cancers and the mechanisms of drug resistance. In this review, we summarise the employment of targeted agents against the most representative biomolecular alterations and provide some criticisms of the therapeutic strategies.

Indexed as

immunotherapynon-small cell lung canceroncogene driverstargeted agents

Identifiers

PMID27433281
PMCPMC4929979
OpenAlexW2460603241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.