Evidence map›Paper›PMID 23966156›Full record

ReviewCell cycle (Georgetown, Tex.)2013

DNA repair pathways in human multiple myeloma: role in oncogenesis and potential targets for treatment.

Claire Gourzones-Dmitriev, Alboukadel Kassambara, Surinder Sahota, Thierry Rème, Jérôme Moreaux, Pascal Bourquard, Dirk Hose, Philippe Pasero, Angelos Constantinou, Bernard Klein

Open access · bronzeAbstract readReview
In one paragraph

Review in Cell cycle (Georgetown, Tex.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

48 citing papers in PubMed, 58 citations in OpenAlex.

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  8. Haematologica · 2023
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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

10 authors at 6 institutions in 3 countries.

Claire Gourzones-DmitrievCHU Montpellier; Institute of Research in Biotherapy; Montpellier, France; INSERM; U1040; Montpellier, France.
Alboukadel Kassambara
Surinder Sahota
Thierry Rème
Jérôme Moreaux
Pascal Bourquard
Dirk Hose
Philippe Pasero
Angelos Constantinou
Bernard Klein
Centre Hospitalier Universitaire de Montpellier · FRCentre Hospitalier Universitaire de Nîmes · FRFaculty (United Kingdom) · GBInserm · FRUniversité de Montpellier · FRUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every day, cells are faced with thousands of DNA lesions, which have to be repaired to preserve cell survival and function. DNA repair is more or less accurate and could result in genomic instability and cancer. We review here the current knowledge of the links between molecular features, treatment, and DNA repair in multiple myeloma (MM), a disease characterized by the accumulation of malignant plasma cells producing a monoclonal immunoglobulin. Genetic instability and abnormalities are two hallmarks of MM cells and aberrant DNA repair pathways are involved in disease onset, primary translocations in MM cells, and MM progression. Two major drugs currently used to treat MM, the alkylating agent Melphalan and the proteasome inhibitor Bortezomib act directly on DNA repair pathways, which are involved in response to treatment and resistance. A better knowledge of DNA repair pathways in MM could help to target them, thus improving disease treatment.

Indexed as

Molecular Targeted TherapyCarcinogenesisDNA RepairDrug Resistance, NeoplasmHumansModels, BiologicalMultiple MyelomabortezomibDNA repairdrug resistancegenetic instabilityhomologous recombinationmelphalanmultiple myelomanon-homologous end joining

Identifiers

PMID23966156
PMCPMC3899190
OpenAlexW2055453653

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.