Evidence map›Paper›PMID 26983546›Full record

ArticleJournal of hematology & oncology2016

The favorable role of homozygosity for killer immunoglobulin-like receptor (KIR) A haplotype in patients with advanced-stage classic Hodgkin lymphoma.

Giorgio La Nasa, Marianna Greco, Roberto Littera, Sara Oppi, Ivana Celeghini, Rossella Caria, Sara Lai, Rita Porcella, Massimo Martino, Alessandra Romano and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 12 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

14 authors at 5 institutions in 2 countries.

Giorgio La NasaHematology Unit, Department of Medical Sciences "M. Aresu", University of Cagliari, Via Is Guadazzonis, 3, 09126, Cagliari, Italy. lanasa@tiscali.it.
Marianna GrecoBone Marrow Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Roberto LitteraRegional Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Sara OppiBone Marrow Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Ivana CeleghiniHematology Department and BMT Unit, Azienda Ospedaliera S. Croce e Carle, Cuneo, Italy.
Rossella CariaBone Marrow Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Sara LaiRegional Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Rita PorcellaRegional Transplant Center, R. Binaghi Hospital, ASL 8, Cagliari, Italy.
Massimo MartinoHematology and Bone Marrow Transplant Unit, Azienda Ospedaliera BMM, Reggio Calabria, Italy.
Alessandra RomanoDivision of Hematology, Azienda Policlinico-OVE, University of Catania, Catania, Italy.
Francesco Di RaimondoDivision of Hematology, Azienda Policlinico-OVE, University of Catania, Catania, Italy.
Andrea GallaminiResearch, Innovation and Statistics Department, Centre Antoine Lacassagne, Nice Cedex 2, France.
Carlo CarcassiMedical Genetics, Department of Medical Sciences "M. Aresu", University of Cagliari, Cagliari, Italy.
Giovanni CaocciHematology Unit, Department of Medical Sciences "M. Aresu", University of Cagliari, Via Is Guadazzonis, 3, 09126, Cagliari, Italy.
ATS Sardegna (Italy) · ITUniversity of Cagliari · ITPoliclinico Universitario di Catania · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITCentre Antoine Lacassagne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterim positron emission tomography after 2 cycles of ABVD (iPET-2) is a good predictor of outcome in advanced-stage classic Hodgkin lymphoma. So far, there are no other prognostic biomarkers capable of identifying chemotherapy refractory patients with comparable accuracy. Despite the considerable amount of evidence suggesting that antitumor immune surveillance is downregulated in classic Hodgkin lymphoma (cHL), few data exist on the impairment of natural killer cell function and the role of their killer immunoglobulin-like receptors (KIRs).

methodsWe investigated KIR gene frequencies, KIR haplotypes, and KIR-ligand combinations in a cohort of 135 patients with advanced-stage classic Hodgkin lymphoma and 221 healthy controls. We furthermore evaluated the correlation of KIR genes and KIR haplotypes with the achievement of negative iPET-2.

resultsIn the cohort of patients, the 5-year overall survival and progression-free survival were 93.6 and 79%, respectively. Homozygosity for KIR A haplotype and the HLA-C1 KIR ligand (KIR-AA/C1C1) was significantly higher in healthy controls (15.7 vs. 4.8%, p = 0.001). The KIR-AA genotype resulted to have a significant predictive power for achieving iPET-2 negativity (p = 0.039).

conclusionsHomozygosity for KIR A haplotype offers protection against classic Hodgkin lymphoma. The association found for the KIR-AA genotype and achievement of negative iPET-2 suggests that KIR-AA could be used in clinical practice to enhance the chemosensitivity predictive power of iPET-2. Our results point to the possibility of adapting treatment strategies based on the combination of KIR biomarkers and PET scan.

Indexed as

HaplotypesAdolescentAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBleomycinDacarbazineDisease-Free SurvivalDoxorubicinFemaleFluorodeoxyglucose F18Gene FrequencyHLA AntigensHodgkin DiseaseHomozygoteBiomarkers, TumorBleomycinDacarbazineDoxorubicinFluorodeoxyglucose F18HLA AntigensReceptors, KIRVinblastineHodgkin lymphomaKiller immunoglobulin-like receptorsKIR A haplotypeNatural killer cellsPositron emission tomography

Identifiers

PMID26983546
PMCPMC4793496
OpenAlexW2301742499

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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.