Evidence map›Paper›PMID 28212373›Full record

ArticleBlood cancer journal2017

Poly (ADP-ribose) polymerase 1 mRNA levels strongly correlate with the prognosis of myelodysplastic syndromes.

P Diamantopoulos, K Zervakis, P Zervakis, M Sofotasiou, T Vassilakopoulos, I Kotsianidis, A Symeonidis, V Pappa, A Galanopoulos, E Solomou and 6 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

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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

16 authors at 5 institutions in 1 country.

P DiamantopoulosHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
K ZervakisHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
P ZervakisHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
M SofotasiouHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
T VassilakopoulosHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
I KotsianidisDepartment of Hematology, University Hospital of Alexandroupolis, Alexandroupoli , Greece.
A SymeonidisDepartment of Internal Medicine, University Hospital of Patras, Rio, Greece.
V PappaHaematology Division, Second Department of Internal Medicine, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
A GalanopoulosDepartment of Clinical Hematology, 'G. Gennimatas' District General Hospital, Athens, Greece.
E SolomouDepartment of Internal Medicine, University Hospital of Patras, Rio, Greece.
E KodandreopoulouHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
V PapadopoulouHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
P KorkolopoulouDepartment of Pathology, National and Kapodistrian University of Athens, Athens, Greece.
M MantzouraniHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
G KyriakakisHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
N-A ViniouHematology Unit, First Department of Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
National and Kapodistrian University of Athens · GRLaiko General Hospital of Athens · GRGeneral University Hospital of Patras · GRGeneral Hospital of Athens G. Genimatas · GRUniversity Hospital of Alexandroupolis · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly (ADP-ribose) polymerase 1 (PARP-1) has a central role in the repair of DNA breaks and is a promising treatment target in malignancy. We measured PARP1 mRNA levels by a SYBR-green-based PCR in the bone marrow of 74 patients with myelodysplastic syndrome (MDS) and correlated them to their demographic, hematologic and prognostic characteristics. The median PARP1 mRNA levels were correlated to the type of MDS (2008/2016 WHO classification, P=0.005) and to the IPSS score (P=0.002). A correlation was also found with the IPSS-R score (P=0.011) and the cytogenetic risk (P=0.008). In all cases, higher PARP1 levels were correlated with a higher risk category. Moreover, we found a significant survival disadvantage for patients with high PARP1 levels (median survival of 37.4 months versus 'not reached' for low PARP1 levels, P=0.0001, and a 5-year survival rate of 29.8 versus 88.9%, respectively). PARP1 mRNA levels were found to be the stronger predictor of survival in multivariate analysis. These correlations have never been reported in the past and may render PARP1 a prognostic factor to be incorporated in the current prognostic systems for MDS, also laying the basis for clinical trials evaluating PARP1 inhibitors in higher-risk MDS.

Indexed as

AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMyelodysplastic SyndromesPoly (ADP-Ribose) Polymerase-1PrognosisRNA, MessengerPoly (ADP-Ribose) Polymerase-1RNA, Messenger

Identifiers

PMID28212373
PMCPMC5533939
OpenAlexW2588645351

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LicenceCC BY
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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.