Evidence map›Paper›PMID 27582569›Full record

ReviewHaematologica2016

Clinical impact of recurrently mutated genes on lymphoma diagnostics: state-of-the-art and beyond.

Richard Rosenquist, Andreas Rosenwald, Ming-Qing Du, Gianluca Gaidano, Patricia Groenen, Andrew Wotherspoon, Paolo Ghia, Philippe Gaulard, Elias Campo, Kostas Stamatopoulos and 1 more

Abstract readReview
In one paragraph

Review in Haematologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. IMGTAntibodies (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Towards precision medicine in lymphoid malignancies.Journal of internal medicine · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. [New molecular pathological strategies for malignant iris tumors].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2019
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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

11 authors.

Richard RosenquistDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden richard.rosenquist@igp.uu.se.
Andreas RosenwaldInstitute of Pathology, University of Würzburg, Germany and Comprehensive Cancer Center Mainfranken (CCC MF), Germany.
Ming-Qing DuDivision of Molecular Histopathology, Department of Pathology, University of Cambridge, UK.
Gianluca GaidanoDivision of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Patricia GroenenDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Andrew WotherspoonDepartment of Histopathology, Royal Marsden Hopsital, Fulham Road, London, UK.
Paolo GhiaDivision of Experimental Oncology and Department of Onco-Hematology, Università Vita-Salute San Raffaele and IRCCS Instituto Scientifico San Raffaele, Milan, Italy.
Philippe GaulardDepartment of Pathology, AP-HP, Groupe hospitalier Henri Mondor-Albert Chenevier, Créteil INSERM U955, Université Paris-Est, Créteil, France.
Elias CampoHemathopatology Section, Department of Pathology, Hospital Clinic and Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), University of Barcelona, Spain.
Kostas StamatopoulosInstitute of Applied Biosciences, CERTH, Thessaloniki, Greece.
European Research Initiative on CLL (ERIC) and the European Association for Haematopathology (EAHP)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similar to the inherent clinical heterogeneity of most, if not all, lymphoma entities, the genetic landscape of these tumors is markedly complex in the majority of cases, with a rapidly growing list of recurrently mutated genes discovered in recent years by next-generation sequencing technology. Whilst a few genes have been implied to have diagnostic, prognostic and even predictive impact, most gene mutations still require rigorous validation in larger, preferably prospective patient series, to scrutinize their potential role in lymphoma diagnostics and patient management. In selected entities, a predominantly mutated gene is identified in almost all cases (e.g. Waldenström's macroglobulinemia/lymphoplasmacytic lymphoma and hairy-cell leukemia), while for the vast majority of lymphomas a quite diverse mutation pattern is observed, with a limited number of frequently mutated genes followed by a seemingly endless tail of genes with mutations at a low frequency. Herein, the European Expert Group on NGS-based Diagnostics in Lymphomas (EGNL) summarizes the current status of this ever-evolving field, and, based on the present evidence level, segregates mutations into the following categories: i) immediate impact on treatment decisions, ii) diagnostic impact, iii) prognostic impact, iv) potential clinical impact in the near future, or v) should only be considered for research purposes. In the coming years, coordinated efforts aiming to apply targeted next-generation sequencing in large patient series will be needed in order to elucidate if a particular gene mutation will have an immediate impact on the lymphoma classification, and ultimately aid clinical decision making.

Indexed as

Biomarkers, TumorGenetic Association StudiesGenetic Predisposition to DiseaseMutationClinical Decision-MakingGene FrequencyGenomicsHigh-Throughput Nucleotide SequencingHumansLymphomaMutation RatePrognosisBiomarkers, Tumor

Identifiers

PMID27582569
PMCPMC5060016

What OpenQuestion holds

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Read underepoch 390

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.