Evidence map›Paper›PMID 34806337›Full record

ArticleAsia-Pacific journal of clinical oncology2022

Recommended testing algorithms for NTRK gene fusions in pediatric and selected adult cancers: Consensus of a Singapore Task Force.

Kiat Hon Tony Lim, Hwai Loong Kong, Kenneth Tou En Chang, Daniel Shao Weng Tan, Iain Bee Huat Tan, Farid Mohamad, Shui Yen Soh, Brendan Nghee-Kheem Pang, Ross Andrew Soo, Su Pin Choo and 2 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Asia-Pacific journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Brazilian Expert Consensus for NTRK Gene Fusion Testing in Solid Tumors.Clinical pathology (Thousand Oaks, Ventura County, Calif.)
    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

12 authors at 6 institutions in 2 countries.

Kiat Hon Tony LimDivision of Pathology, Department of Anatomical Pathology, Singapore General Hospital, Singapore.
Hwai Loong KongICON Cancer Centre, Mount Elizabeth Medical Centre Orchard, Singapore.
Kenneth Tou En ChangDepartment of Pathology and Laboratory Medicine, KK Women's and Children's Hospital, Singapore.
Daniel Shao Weng TanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Iain Bee Huat TanDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Farid MohamadDivision of Medical Oncology, National Cancer Centre Singapore, Singapore.
Shui Yen SohHaematology-Oncology Service, Department of Paediatrics Subspecialties, KK Women's and Children's Hospital, Singapore.
Brendan Nghee-Kheem PangAngsana Molecular & Diagnostics Pte Ltd, Parkway Pantai, Singapore.
Ross Andrew SooDepartment of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore.
Su Pin ChooCurie Oncology, Singapore.
Wen-Son HsiehICON Cancer Centre, Farrer Park Hospital, Singapore.
LeLe AungPaediatric Haematology-Oncology, ICON Cancer Centre, Singapore.
National Cancer Centre Singapore · SGKK Women's and Children's Hospital · SGDian Diagnostics (China) · CNMount Elizabeth Hospital · SGNational University Cancer Institute, Singapore · SGSingapore General Hospital · SG

Funding

Bayer
6 · The paper itself

Abstract

The occurrence of neurotrophic tyrosine receptor kinase (NTRK) gene fusions in a wide range of tumor types presents an attractive opportunity for using a tropomyosin receptor kinase (TRK) inhibitor as cancer therapy. Recent clinical studies have demonstrated highly efficacious outcomes associated with the use of TRK inhibitors, such as larotrectinib and entrectinib in NTRK fusion-bearing cancers, in both adult and pediatric populations. While NTRK gene fusions are commonly found in some uncommon adult and pediatric malignancies, they are also found, albeit rarely, in a wide range of more common malignancies. The potential value of testing for NTRK gene fusions in practically all advanced malignancies is underpinned by the remarkable therapeutic outcomes that TRK inhibitors offer. This requirement presents practical and financial challenges in real-world oncological practice. Furthermore, different testing platforms exist to detect NTRK gene fusions, each with its advantages and disadvantages. It is, therefore, imperative to develop strategies for NTRK gene fusion testing in an attempt to optimize the use of limited tissue specimen and financial resources, and to minimize the turnaround time. A multidisciplinary task force of Singapore medical experts in both public and private sectors was convened in late 2020 to propose testing algorithms for adult colorectal tumors, sarcomas, non-small cell lung cancer, and pediatric cancers, with particular adaptation to the Singapore oncological practice. The recommendations presented here highlight the heterogeneity of NTRK-fusion positive cancers, and emphasize the need to customize the testing methods to each tumor type to optimize the workflow.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasmsAdultAlgorithmsChildGene FusionHumansMembrane GlycoproteinsOncogene Proteins, FusionProtein Kinase InhibitorsReceptor, trkAReceptor, trkBSingaporeAntineoplastic AgentsMembrane GlycoproteinsOncogene Proteins, FusionProtein Kinase InhibitorsReceptor, trkAReceptor, trkBcancersnext-generation sequencingNTRK gene fusionNTRK testing algorithmTRK inhibitor

Identifiers

PMID34806337
PMCPMC9541932
OpenAlexW3215414281

What OpenQuestion holds

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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.