Evidence map›Paper›PMID 25394977›Full record

ReviewDer Pathologe2014

[Mutational tumor profiles beyond organ and tissue specificity: implications for diagnostics and clinical study design].

F Klauschen

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

F KlauschenInstitut für Pathologie, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland, frederick.klauschen@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostics and therapy of malignant tumors are based on the paradigm that cancer is an organ and tissue-specific disease. Comprehensive tumor mutation profiling data that has recently become available from next generation sequencing projects has made it possible to analyze whether the established anatomical tumor classification is reflected on the genetic level. Here, we review the results of a study on 4796 tumors of 14 major cancer types from the cancer genome atlas (TCGA) database, that on average 43% of tumors of a particular type are genetically more similar to tumors of a different anatomical origin and that the genetic tumor type corresponds to the anatomical type in only 57% of the cases. Furthermore, we discuss the implications of the complex mutation profiles and similarity patterns across cancers for diagnostics and clinical study design and explain why the comprehensive genomic data should be complemented by functional proteomic analyses.

Indexed as

DNA Mutational AnalysisCell Transformation, NeoplasticGene Expression ProfilingGenes, NeoplasmHumansNeoplasmsOrgan SpecificityProteomics

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.