Evidence map›Paper›PMID 23371257›Full record

ArticleDer Internist2013

[Lung cancer. Molecular pathology and personalized therapy].

A Schultheis, J Wolf, R Büttner

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Internist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

A SchultheisInstitut für Pathologie, CIO Köln Bonn, Universitätsklinikum Köln, Kerpener Str. 62, 50937, Köln. anne.schultheis@uk-koeln.de
J Wolf
R Büttner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the treatment of non-small cell lung cancer (NSCLC) are based on the identification of so-called driver mutations, resulting in a more personalized treatment setting. Currently about 15% of NSCLC patients benefit from improved treatment protocols based on the genetic background of the tumor. In the last few years cancer immunotherapy has returned to the center of attention and comprises a variety of treatment approaches incorporating adaptive, as well as innate immunity. Current strategies involve the use of monoclonal antitumor antibodies, cancer vaccines, adoptive transfer of ex vivo activated T and NK cells as well as the blockade of so-called immune checkpoints (immune inhibitory pathways). Especially the combination of current treatments with immunotherapy seems promising to achieve highly potent antitumor effects. However, a profound understanding of the dynamic and complex interaction between lung cancer and the host immune system and especially its immune checkpoints is the foundation to identify potential biomarkers for a personalized cancer immunotherapy approach.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkersGenetic MarkersGenetic TestingGenetic TherapyHumansMolecular Targeted TherapyPrecision MedicineBiomarkersGenetic Markers

Identifiers

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.