Evidence map›Paper›PMID 38948925›Full record

ArticleHemaSphere2024

NOTCH1 fusions in pediatric T-cell lymphoblastic lymphoma: A high-risk subgroup with CCL17 (TARC) levels as diagnostic biomarker.

Emma Kroeze, Michelle M Kleisman, Lennart A Kester, Marijn A Scheijde-Vermeulen, Edwin Sonneveld, Jessica G C Buijs-Gladdines, Melanie M Hagleitner, Friederike A G Meyer-Wentrup, Margreet A Veening, Auke Beishuizen and 3 more

Abstract read
In one paragraph

Article in HemaSphere, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  4. Review
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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

13 authors.

Emma KroezePrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.ORCID 0000-0002-4258-1291
Michelle M KleismanPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Lennart A KesterPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Marijn A Scheijde-VermeulenPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Edwin SonneveldPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Jessica G C Buijs-GladdinesPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Melanie M HagleitnerPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Friederike A G Meyer-WentrupPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.ORCID 0000-0002-6277-1973
Margreet A VeeningPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Auke BeishuizenPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Jules P P MeijerinkPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Jan L C LoeffenPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.
Roland P KuiperPrincess Máxima Center for Pediatric Oncology Utrecht The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty percent of children with T-cell lymphoblastic lymphoma (T-LBL) will relapse and have an extremely poor outcome. Currently, we can identify a genetically low-risk subgroup in pediatric T-LBL, yet these high-risk patients who need intensified or alternative treatment options remain undetected. Therefore, there is an urgent need to recognize these high-risk T-LBL patients through identification of molecular characteristics and biomarkers. By using RNA sequencing which was performed in 29/49 T-LBL patients who were diagnosed in the Princess Maxima Center for Pediatric Oncology between 2018 and 2023, we discovered a previously unknown high-risk biological subgroup of children with T-LBL. This subgroup is characterized by

Identifiers

PMID38948925
PMCPMC11208779

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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.