Evidence map›Paper›PMID 35775706›Full record

ReviewPathologica2022

NTRK gene fusions in solid tumors: agnostic relevance, prevalence and diagnostic strategies.

Antonio Marchetti, Benedetta Ferro, Maria Paola Pasciuto, Claudia Zampacorta, Fiamma Buttitta, Emanuela D'Angelo

Open access · diamondAbstract readReview
In one paragraph

Review in Pathologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Future oncology (London, England) · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
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  6. Review
  7. Article
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  9. Review
  10. Review
  11. Article
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  13. Review
  14. Cost-Efficient Detection ofInternational journal of molecular sciences · 2023
    Article
  15. International journal of molecular sciences · 2023
    Article
  16. Article
  17. The Role of Biomarkers in Guiding Clinical Decision-Making in Oncology.Journal of the advanced practitioner in oncology · 2023
    Review
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

6 authors at 1 institution in 1 country.

Antonio MarchettiDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
Benedetta FerroDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
Maria Paola PasciutoDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
Claudia ZampacortaDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
Fiamma ButtittaDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
Emanuela D'AngeloDiagnostic Molecular Oncology Section, Center for Advanced Studies and Technology (CAST), University of Chieti-Pescara, Italy.
University of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of innovative drugs, developed for precision medicine, have shown impressive activity in neoplastic patients with rare molecular targets, independently from the site and type of tumor. This gave rise to the concept of agnostic treatments in oncology. The detection of such rare targets is a prerequisite for these treatments and is nowadays one of the main challenges in diagnostic molecular pathology. Various algorithms, new diagnostic strategies and pathological workflows have been suggested to help pathologists in the detection of these rare molecular alterations. An emblematic example of biological targets for agnostic treatments is represented by genetic rearrangements affecting members of the Neurotrophic Tyrosine Receptor Kinase (NTRK) gene family. These gene rearrangements have an unusual dual mode of distribution: the first, at high frequency in some very rare neoplasms, and the second with extremely lower frequencies in more common tumors. Even in the context of an agnostic approach, knowledge of site, histotype and prevalence of the tumors carrying these genetic lesions may be helpful to guide the pathologist in the daily effort in search of these molecular alterations. This review examines the prevalence of NTRK gene fusions in different forms of solid tumors, based on the largest studies to date, reports a comprehensive diagnostic algorithm and an innovative pathological workflow for rapid screening.

Indexed as

Gene FusionNeoplasmsHumansPathologistsPrecision MedicinePrevalenceNeurotrophic TyrosineNext Generation Sequencing (NGS)Receptor Kinase (NTRK)targeted therapytumor agnostic treatments

Identifiers

PMID35775706
PMCPMC9248239
OpenAlexW4283715759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.