Evidence map›Paper›PMID 27835908›Full record

ArticleOncotarget2016

Droplet digital PCR analysis of NOTCH1 gene mutations in chronic lymphocytic leukemia.

Angela Minervini, Crescenzio Francesco Minervini, Luisa Anelli, Antonella Zagaria, Paola Casieri, Nicoletta Coccaro, Cosimo Cumbo, Giuseppina Tota, Luciana Impera, Paola Orsini and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  6. The Predominant Prognostic Significance ofCancer management and research · 2021
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  9. Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2020
    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

14 authors at 1 institution in 1 country.

Angela MinerviniDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Crescenzio Francesco MinerviniDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Luisa AnelliDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Antonella ZagariaDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Paola CasieriDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Nicoletta CoccaroDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Cosimo CumboDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Giuseppina TotaDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Luciana ImperaDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Paola OrsiniDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Claudia BrunettiDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Annamaria GiordanoDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Giorgina SpecchiaDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
Francesco AlbanoDepartment of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, 70124 Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic lymphocytic leukemia (CLL), NOTCH1 gene mutations (NOTCH1mut) have been associated with adverse prognostic features but the independence of these as a prognostic factor is still controversial. In our study we validated a c.7541-7542delCT NOTCH1 mutation assay based on droplet digital PCR (ddPCR); we also analyzed the NOTCH1mut allelic burden, expressed as fractional abundance (FA), in 88 CLL patients at diagnosis to assess its prognostic role and made a longitudinal ddPCR analysis in 10 cases harboring NOTCH1mut to verify the FA variation over time. Our data revealed that with the ddPCR approach the incidence of NOTCH1mut in CLL was much higher (53.4%) than expected. However, longitudinal ddPCR analysis of CLL cases showed a statistically significant reduction of the NOTCH1mut FA detected at diagnosis after treatment (median FA 11.67 % vs 0.09 %, respectively, p = 0.01); the same difference, in terms of NOTCH1mut FA, was observed in the relapsed cases compared to the NOTCH1mut allelic fraction observed in patients in complete or partial remission (median FA 4.75% vs 0.43%, respectively, p = 0.007). Our study demonstrated a much higher incidence of NOTCH1mut in CLL than has previously been reported, and showed that the NOTCH1mut allelic burden evaluation by ddPCR might identify patients in need of a closer clinical follow-up during the "watch and wait" interval and after standard chemotherapy.

Indexed as

MutationAdultAgedAged, 80 and overFemaleHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedPolymerase Chain ReactionReceptor, Notch1NOTCH1 protein, humanReceptor, Notch1chronic lymphocytic leukemiadroplet digital PCRIGHV mutational statusmolecular monitoringNOTCH1

Identifiers

PMID27835908
PMCPMC5349927
OpenAlexW2554307986

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.