Evidence map›Paper›PMID 37345090›Full record

ArticleCancers2023

Exploratory Genome-Wide Association Analysis to Identify Pharmacogenetic Determinants of Response to R-CHOP in Diffuse Large B-Cell Lymphoma.

Gabriele Perrone, Luigi Rigacci, Sara Urru, Sofya Kovalchuk, Marco Brugia, Alberto Fabbri, Lorenzo Iovino, Benedetta Puccini, Emanuele Cencini, Enrico Orciuolo and 13 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

23 authors at 8 institutions in 1 country.

Gabriele PerroneDepartment of Health Sciences, University of Florence, 50139 Florence, Italy.
Luigi RigacciResearch Unit of Hematology, Department of Medicine and Surgery, Campus Biomedico University, 00128 Roma, Italy.
Sara UrruUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35128 Padova, Italy.
Sofya KovalchukUnit of Hematology, Careggi University-Hospital, 50134 Florence, Italy.
Marco BrugiaUnit of Medical Oncology, Careggi University-Hospital, 50134 Florence, Italy.
Alberto FabbriUnit of Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-2603-9715
Lorenzo IovinoUnit of Hematology, Santa Chiara University Hospital, University of Pisa, 56100 Pisa, Italy.
Benedetta PucciniUnit of Hematology, Careggi University-Hospital, 50134 Florence, Italy.
Emanuele CenciniUnit of Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy.
Enrico OrciuoloUnit of Hematology, Santa Chiara University Hospital, University of Pisa, 56100 Pisa, Italy.
Silvia BirtoloUnit of Hematology, Ospedale SS. Cosma e Damiano, 51017 Pescia, Italy.
Alessandro MelosiUnit of Hematology, Ospedale San Luca Nuovo, 55100 Lucca, Italy.
Simone SantiniASL Toscana Centro, Department of Oncology, Oncohematology Unit, Santo Stefano Hospital, 59100 Prato, Italy.
Ida LandiniDepartment of Health Sciences, University of Florence, 50139 Florence, Italy.
Giandomenico RovielloDepartment of Health Sciences, University of Florence, 50139 Florence, Italy.ORCID 0000-0001-5504-8237
Raffaella SantiDepartment of Health Sciences, University of Florence, 50139 Florence, Italy.ORCID 0009-0005-5317-7533
Alessandra MacciottaDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.
Fulvio RicceriDepartment of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy.ORCID 0000-0001-8749-9737
Alberto BosiUnit of Hematology, Careggi University-Hospital, 50134 Florence, Italy.
Monica BocchiaUnit of Hematology, Azienda Ospedaliera Universitaria Senese, University of Siena, 53100 Siena, Italy.
Mario PetriniUnit of Hematology, Santa Chiara University Hospital, University of Pisa, 56100 Pisa, Italy.
Enrico MiniDepartment of Health Sciences, University of Florence, 50139 Florence, Italy.ORCID 0000-0003-1853-8557
Stefania NobiliDENOTHE Excellence Center, University of Florence, 50139 Florence, Italy.ORCID 0000-0003-4731-9169
University of Florence · ITAzienda Ospedaliero-Universitaria Careggi · ITUniversity of Pisa · ITUniversity of Siena · ITUniversity of Turin · ITAzienda Usl Toscana Centro · ITUniversità Campus Bio-Medico · ITUniversity of Padua · IT

Funding

Associazione Giacomo Onlus (Castiglioncello, Italy)Fondazione Cassa di Risparmio di Firenze (Firenze, Italy)
6 · The paper itself

Abstract

R-CHOP standard chemotherapy is successful in about 60% of diffuse large B-cell lymphoma (DLBCL) patients. Unresponsive patients have a poor prognosis, and predictive biomarkers of response to R-CHOP are lacking. We conducted the first prospective GWAS study aimed at exploring constitutional biomarkers predictive of R-CHOP efficacy and toxicity. Overall, 216 any-stage chemonaïve DLBCL patients candidate to R-CHOP were enrolled. The median age of the 185 eligible patients was 59.2 years, 49.7% were women and 45.4% were stage I-II patients. According to the Revised International Prognostic Index (R-IPI), 14.1%, 56.8% and 29.2% were in the very good, good and poor prognosis groups, respectively. Of the patients, 85.9% produced a complete response. Highly significant associations (i.e.,

Indexed as

diffuse large B-cell lymphomagenome-wide association studypharmacogeneticspredictive biomarkersR-CHOPsingle-nucleotide polymorphism

Identifiers

PMID37345090
PMCPMC10216814
OpenAlexW4381597552

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.