Evidence map›Paper›PMID 30696890›Full record

ArticleScientific reports2019

Multi-omics dataset to decipher the complexity of drug resistance in diffuse large B-cell lymphoma.

Luc-Matthieu Fornecker, Leslie Muller, Frédéric Bertrand, Nicodème Paul, Angélique Pichot, Raoul Herbrecht, Marie-Pierre Chenard, Laurent Mauvieux, Laurent Vallat, Seiamak Bahram and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  11. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 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

13 authors at 3 institutions in 1 country.

Luc-Matthieu ForneckerPôle d'Oncologie et d'Hématologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France. luc-matthieu.fornecker@chru-strasbourg.fr.
Leslie MullerLaboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR 7178, Strasbourg, France.
Frédéric BertrandInstitut de Recherche Mathématique Avancée, CNRS UMR 7501, LabEx Institut de Recherche en Mathématiques, ses Interactions et Applications, Université de Strasbourg, Strasbourg, France.
Nicodème PaulFédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
Angélique PichotFédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
Raoul HerbrechtPôle d'Oncologie et d'Hématologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Marie-Pierre ChenardFédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
Laurent MauvieuxUniversité de Strasbourg, INSERM, UMR_S1113/IRFAC, Strasbourg, France.ORCID 0000-0002-9043-1845
Laurent VallatUniversité de Strasbourg, INSERM, UMR_S1113/IRFAC, Strasbourg, France.
Seiamak BahramFédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.ORCID 0000-0002-6928-9952
Sarah CianféraniLaboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR 7178, Strasbourg, France.
Raphaël CarapitoFédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
Christine CarapitoLaboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR 7178, Strasbourg, France.
Inserm · FRCentre National de la Recherche Scientifique · FRHôpitaux Universitaires de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) remains unsatisfactory and, despite major advances in genomic studies, the biological mechanisms underlying chemoresistance are still poorly understood. We conducted for the first time a large-scale differential multi-omics investigation on DLBCL patient's samples in order to identify new biomarkers that could early identify patients at risk of R/R disease and to identify new targets that could determine chemorefractoriness. We compared a well-characterized cohort of R/R versus chemosensitive DLBCL patients by combining label-free quantitative proteomics and targeted RNA sequencing performed on the same tissues samples. The cross-section of both data levels allowed extracting a sub-list of 22 transcripts/proteins pairs whose expression levels significantly differed between the two groups of patients. In particular, we identified significant targets related to tumor metabolism (Hexokinase 3), microenvironment (IDO1, CXCL13), cancer cells proliferation, migration and invasion (S100 proteins) or BCR signaling pathway (CD79B). Overall, this study revealed several extremely promising biomarker candidates related to DLBCL chemorefractoriness and highlighted some new potential therapeutic drug targets. The complete datasets have been made publically available and should constitute a valuable resource for the future research.

Indexed as

GenomicsMetabolomicsProteomicsAdolescentAdultAgedAntineoplastic Combined Chemotherapy ProtocolsComputational BiologyDrug Resistance, NeoplasmFemaleGene Expression ProfilingGene OntologyHumansLymphoma, Large B-Cell, DiffuseMaleMiddle Aged

Identifiers

PMID30696890
PMCPMC6351558
OpenAlexW2913700362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.