Evidence map›Paper›PMID 30871628›Full record

Trial reportJournal for immunotherapy of cancer2019

Follicular lymphoma patients with KIR2DL2 and KIR3DL1 and their ligands (HLA-C1 and HLA-Bw4) show improved outcome when receiving rituximab.

Amy K Erbe, Wei Wang, Lakeesha Carmichael, Anna Hoefges, Bartosz Grzywacz, Patrick K Reville, Erik A Ranheim, Jacquelyn A Hank, KyungMann Kim, Songwon Seo and 10 more

Open access · goldAbstract readClinical Trial, Phase IIIComparative Study
In one paragraph

Trial report in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 23 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

20 authors at 7 institutions in 2 countries.

Amy K ErbeDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Wei WangDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Lakeesha CarmichaelDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Anna HoefgesDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Bartosz GrzywaczDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Patrick K RevilleDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Erik A RanheimDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Jacquelyn A HankDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
KyungMann KimDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Songwon SeoDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Eneida A MendoncaDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Yiqiang SongDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA.
Vaishalee P KenkreDepartment of Medicine, University of Wisconsin, Madison, WI, USA.
Fangxin HongDepartment of Biostatistics, Harvard University, Dana Farber Cancer Institute, Boston, MA, USA.
Randy D GascoyneDepartment of Pathology and Laboratory Medicine, Centre for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
Elisabeth PaiettaMontefiore Medical Center-North Division, Albert Einstein College of Medicine, Bronx, NY, USA.
Sandra J HorningDepartment of Medicine, Stanford University, Stanford, CA, USA.
Jeffrey S MillerDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Brad KahlDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Paul M SondelDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA. pmsondel@humonc.wisc.edu.
University of Wisconsin–Madison · USUniversity of Minnesota · USBC Cancer Agency · CADana-Farber Cancer Institute · USMontefiore Medical Center · USStanford University · USWashington University in St. Louis · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO · 2014 to 2026
$111.2M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
WASHINGTON UNIVERSITY / SITEMAN CANCER CENTER LEAD ACADEMIC SITEUG1CA233339 · NCI · WASHINGTON UNIVERSITY · PI NANCY L BARTLETT, Clifford Grant Robinson · 2019 to 2026
$11.3M
Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
Washington University/ Siteman Cancer Center Lead Academic SiteU10CA180833 · NCI · WASHINGTON UNIVERSITY · PI BARTLETT, NANCY L, KOZOWER, BENJAMIN D · 2014 to 2018
$7.6M
Enhancing Antibody-directed Innate Immunity to Improve Cancer OutcomeR35CA197078 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SONDEL, PAUL M · 2015 to 2021
$6.4M
National Clinical Trials Network Research at the University of WisconsinUG1CA233277 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Lisa M Barroilhet, Andrew M. Baschnagel · 2019 to 2026
$4.9M
National Clinical Trials Network Research at the University of WisconsinU10CA180799 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ANDERSON, BETHANY M, KUSHNER, DAVID M · 2014 to 2018
$2.8M
Stanford University NCTN- Network Lead Academic SiteU10CA180816 · NCI · STANFORD UNIVERSITY · PI COUTRE, STEVEN EDWARD, LE, QUYNH-THU XUAN · 2014 to 2018
$2.8M
NCI NIH HHS R35 CA197078NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180799NCI NIH HHS U10 CA180816NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180833NCI NIH HHS U24 CA196172NCI NIH HHS UG1 CA189859NCI NIH HHS UG1 CA233277NCI NIH HHS UG1 CA233339
6 · The paper itself

Abstract

backgroundThe ECOG-ACRIN Cancer Research Group evaluated rituximab treatment schedules for patients with newly-diagnosed low-tumor-burden follicular-lymphoma (FL). All patients received 4-weekly rituximab treatments as induction therapy. Clinically-responding patients were randomized to receive rituximab every 13 weeks ("maintenance") vs. no additional rituximab until progression ("non-maintenance"). Based on "time-to-rituximab-failure (TTRF)", the study-committee reported there was no overall-benefit for maintenance rituximab in this setting. Tumor-reactive mAbs, like rituximab, trigger natural killer (NK) cells. NK-cell responses are regulated, in part, by interactions between killer immunoglobulin-like receptors (KIRs) on NK cells and their interactions with KIR-ligands. In a separate study of children with neuroblastoma treated with a different mAb, we found certain KIR/KIR-ligand genotypes associated with improved outcome. Here, we assessed whether a subset of FL patients show improved outcome from the maintenance rituximab based on these same KIR/KIR-ligand genotypes.

methodsGenotypes for KIR/KIR-ligand were determined and assessed for associations with outcome [duration of response, TTRF and % tumor shrinkage] as a post-hoc analysis of this phase III trial. Our primary objective was to assess specific KIR/KIR-ligand genotype associations, followed by separate prespecified KIR/KIR-ligand genotype associations in follow-up analyses. Statistical analyses for association of genotype with clinical outcome included: Log-rank tests and Cox proportional hazards regression models to assess duration of response and TTRF; analysis of variance (ANOVA) was used for assessment of % tumor shrinkage.

resultsWe found that patients inheriting KIR2DL2 and its ligand (HLA-C1) along with KIR3DL1 and its ligand (HLA-Bw4) had improved outcome over patients without this genotype. In addition, patients with KIR2DL2 and HLA-C1 along with KIR3DL1 and HLA-Bw4 also showed improved duration of response and tumor shrinkage if they received maintenance, while patients without this genotype showed no such improvement when receiving maintenance.

conclusionsThe data presented here indicate that a subset of FL patients, identified by certain KIRs/KIR-ligands, have improved outcome and may benefit from additional rituximab treatment. Taken together, this suggests that the efficacy of tumor-reactive mAb treatment for some patients is influenced by KIRs on NK cells. However, prior to considering these genotypes in a clinically-actionable manner, these findings need independent validation in other studies.

Indexed as

FemaleGenotypeHLA-B AntigensHLA-C AntigensHumansLymphoma, FollicularMaintenance ChemotherapyMaleProportional Hazards ModelsReceptors, KIR2DL2Receptors, KIR3DL1RituximabTreatment OutcomeHLA-B AntigensHLA-Bw4 antigenHLA-C AntigensKIR2DL2 protein, humanKIR3DL1 protein, humanReceptors, KIR2DL2Receptors, KIR3DL1RituximabADCCCD20Follicular lymphomaHLAImmunotherapyKIRMHC class IMonoclonal antibodyNK cellsRituximab

Identifiers

PMID30871628
PMCPMC6419437
OpenAlexW2935816391

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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.