Evidence map›Paper›PMID 27151993›Full record

ArticleHaematologica2016

RNA sequencing unravels the genetics of refractory/relapsed T-cell acute lymphoblastic leukemia. Prognostic and therapeutic implications.

Valentina Gianfelici, Sabina Chiaretti, Sofie Demeyer, Filomena Di Giacomo, Monica Messina, Roberta La Starza, Nadia Peragine, Francesca Paoloni, Ellen Geerdens, Valentina Pierini and 12 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
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  4. Integration of Genomic Sequencing Drives Therapeutic Targeting of PDGFRA in T-Cell Acute Lymphoblastic Leukemia/Lymphoblastic Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  14. [The role and research progress of NOTCH1 in T-cell acute lymphoblastic leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2021
    Article
  15. Article
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  17. Review
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  20. Biological Aspects of mTOR in Leukemia.International journal of molecular sciences · 2018
    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

22 authors at 6 institutions in 2 countries.

Valentina GianfeliciHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Sabina ChiarettiHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Sofie DemeyerCenter for Human Genetics, KU Leuven, Belgium Center for the Biology of Disease, VIB, Leuven, Belgium.
Filomena Di GiacomoHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy Department of Molecular Biotechnology and Health Science and Center for Experimental Research and Medical Studies (CeRMS), University of Turin, Italy.
Monica MessinaHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Roberta La StarzaHematology and Bone Marrow Transplantation Unit, Department of Medicine, University of Perugia, Italy.
Nadia PeragineHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Francesca PaoloniGIMEMA Data Center, Rome, Italy.
Ellen GeerdensCenter for Human Genetics, KU Leuven, Belgium Center for the Biology of Disease, VIB, Leuven, Belgium.
Valentina PieriniHematology and Bone Marrow Transplantation Unit, Department of Medicine, University of Perugia, Italy.
Loredana EliaHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Marco ManciniHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Maria Stefania De ProprisHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Valerio ApicellaHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Gianluca GaidanoDivision of Hematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.
Anna Maria TestiHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Antonella VitaleHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Marco VignettiHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy GIMEMA Data Center, Rome, Italy.
Cristina MecucciHematology and Bone Marrow Transplantation Unit, Department of Medicine, University of Perugia, Italy.
Anna GuariniHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy.
Jan CoolsCenter for Human Genetics, KU Leuven, Belgium Center for the Biology of Disease, VIB, Leuven, Belgium.
Robin FoàHematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy rfoa@bce.uniroma1.it.
Sapienza University of Rome · ITUniversity of Perugia · ITVIB-KU Leuven Center for Cancer Biology · BEFondazione Gimema Onlus · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite therapeutic improvements, a sizable number of patients with T-cell acute lymphoblastic leukemia still have a poor outcome. To unravel the genomic background associated with refractoriness, we evaluated the transcriptome of 19 cases of refractory/early relapsed T-cell acute lymphoblastic leukemia (discovery cohort) by performing RNA-sequencing on diagnostic material. The incidence and prognostic impact of the most frequently mutated pathways were validated by Sanger sequencing on genomic DNA from diagnostic samples of an independent cohort of 49 cases (validation cohort), including refractory, relapsed and responsive cases. Combined gene expression and fusion transcript analyses in the discovery cohort revealed the presence of known oncogenes and identified novel rearrangements inducing overexpression, as well as inactivation of tumor suppressor genes. Mutation analysis identified JAK/STAT and RAS/PTEN as the most commonly disrupted pathways in patients with chemorefractory disease or early relapse, frequently in association with NOTCH1/FBXW7 mutations. The analysis on the validation cohort documented a significantly higher risk of relapse, inferior overall survival, disease-free survival and event-free survival in patients with JAK/STAT or RAS/PTEN alterations. Conversely, a significantly better survival was observed in patients harboring only NOTCH1/FBXW7 mutations: this favorable prognostic effect was abrogated by the presence of concomitant mutations. Preliminary in vitro assays on primary cells demonstrated sensitivity to specific inhibitors. These data document the negative prognostic impact of JAK/STAT and RAS/PTEN mutations in T-cell acute lymphoblastic leukemia and suggest the potential clinical application of JAK and PI3K/mTOR inhibitors in patients harboring mutations in these pathways.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingSequence Analysis, RNAAdolescentAdultAntineoplastic Combined Chemotherapy ProtocolsCell Cycle ProteinsChildCluster AnalysisCohort StudiesDrug Resistance, NeoplasmF-Box ProteinsF-Box-WD Repeat-Containing Protein 7FemaleGene Expression ProfilingHumansCell Cycle ProteinsF-Box ProteinsF-Box-WD Repeat-Containing Protein 7FBXW7 protein, humanJanus KinasesOncogene Proteins, FusionPTEN Phosphohydrolaseras ProteinsReceptor, Notch1STAT Transcription FactorsUbiquitin-Protein Ligases

Identifiers

PMID27151993
PMCPMC4967573
OpenAlexW2347120871

What OpenQuestion holds

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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.