Evidence map›Paper›PMID 38619582›Full record

ReviewPathologie (Heidelberg, Germany)2024

[Molecular pathological analysis through the ages].

Maria Walker, Eva-Maria Mayr, Mai-Lan Koppermann, Ana Terron, Yoko Wagner, Charlotte Kling, Nicole Pfarr

Abstract readEnglish AbstractReview
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2024. 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

7 authors.

Maria WalkerInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Eva-Maria MayrInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Mai-Lan KoppermannInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Ana TerronInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Yoko WagnerInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Charlotte KlingInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Nicole PfarrInstitut für Pathologie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland. nicole.pfarr@tum.de.ORCID http://orcid.org/0000-0002-5977-5375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular pathological examinations of tumor samples encompass a wide range of diagnostic analyses. Especially in recent years, numerous new biomarkers have come to the forefront-the analysis of which is crucial for therapy decisions.

objectivesWithin the field of molecular pathology, the demands of next generation sequencing (NGS)-based requirements have experienced massive growth in recent years. To meet this demand, methods are constantly being adapted and further developed. The following sections aim to illuminate how this trend arises and which analyses are gaining importance.

methodsThe article provides an overview of the essential nucleic acid-based analysis techniques in the field of massive parallel sequencing. Terms such as DNA- and RNA-based techniques, as well as the associated analysis methods, are described, particularly with regard to their use in routine molecular pathological diagnostics.

resultsThe breadth of genomic sequencing has been steadily growing in recent years, particularly due to the increasing relevance of personalized medicine, along with the rising approvals of targeted therapeutics. This necessitates, among other things, the analysis of new biomarkers. The diagnostics as part of interdisciplinary molecular tumor boards (MTB) are now based on large gene panels (> 1 megabase). Furthermore, through the "Modellvorhaben Genomsequenzierung" § 64e, whole exome or whole genome sequencing has been made available for oncological patients. Given these developments, it is evident that future analyses will require the integration of additional omics fields, such as whole transcriptome analysis, epigenomics, and proteomics.

conclusionThe challenges of personalized medicine along with the necessity of simultaneously assessing numerous new biomarkers require the implementation and execution of new techniques in molecular pathology whose complexity is steadily increasing.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsPathology, MolecularBiomarkers, TumorHumansPrecision MedicineBiomarkers, TumorBiomarkerDNAExome sequencingNext generation sequencingRNA

Identifiers

PMID38619582
PMCPMC11045621

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Registered trials

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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.