Evidence map›Paper›PMID 38117900›Full record

ArticleScience translational medicine2023

Inhibition of RIP1 improves immune reconstitution and reduces GVHD mortality while preserving graft-versus-leukemia effects.

Mariano Prado-Acosta, Seihwan Jeong, Alberto Utrero-Rico, Tatiana Goncharov, Joshua D Webster, Ernst Holler, George Morales, Sergio Dellepiane, John E Levine, Michael E Rothenberg and 2 more

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  6. Review
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  8. Article
  9. Targeting RIPK1 to modulate cell death and tumour microenvironment in cancer therapy.Journal of enzyme inhibition and medicinal chemistry · 2025
    Review
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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

12 authors at 3 institutions in 2 countries.

Mariano Prado-AcostaTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-4120-538X
Seihwan JeongTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-8349-4090
Alberto Utrero-RicoTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-8814-8410
Tatiana GoncharovImmunology Discovery, Genentech, South San Francisco, CA 94080, USA.ORCID 0009-0007-5284-4319
Joshua D WebsterDepartment of Pathology, Genentech, South San Francisco, CA 94080, USA.ORCID 0000-0002-0014-1685
Ernst HollerDepartment of Hematology and Oncology, University of Regensburg, Regensburg 93042, Germany.ORCID 0000-0003-2295-2187
George MoralesTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0009-0001-7917-0234
Sergio DellepianeTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-7133-4740
John E LevineTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Michael E RothenbergEarly Clinical Development, Genentech, South San Francisco, CA 94080, USA.ORCID 0000-0002-4603-6653
Domagoj VucicImmunology Discovery, Genentech, South San Francisco, CA 94080, USA.ORCID 0000-0003-3614-8093
James L M FerraraTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-8595-3940
Icahn School of Medicine at Mount Sinai · USGenesys (United States) · USUniversity of Regensburg · DE

Funding

TUMOR VACCINES AND BONE MARROW TRANSPLANTATIONP01CA039542 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PAVAN REDDY · 1985 to 2026
$47.9M
THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
NCI NIH HHS P01 CA039542NCI NIH HHS P30 CA196521NIH HHS P01 CA 039452NIH HHS P30 CA196521
6 · The paper itself

Abstract

Graft-versus-host disease (GVHD) remains the major cause of morbidity and nonrelapse mortality (NRM) after hematopoietic cell transplantation (HCT). Inflammatory cytokines mediate damage to key GVHD targets such as intestinal stem cells (ISCs) and also activate receptor interacting protein kinase 1 (RIP1; RIPK1), a critical regulator of apoptosis and necroptosis. We therefore investigated the role of RIP1 in acute GVHD using samples from HCT patients, modeling GVHD damage in vitro with both human and mouse gastrointestinal (GI) organoids, and blocking RIP1 activation in vivo using several well-characterized mouse HCT models. Increased phospho-RIP1 expression in GI biopsies from patients with acute GVHD correlated with tissue damage and predicted NRM. Both the genetic inactivation of RIP1 and the RIP1 inhibitor GNE684 prevented GVHD-induced apoptosis of ISCs in vivo and in vitro. Daily administration of GNE684 for 14 days reduced inflammatory infiltrates in three GVHD target organs (intestine, liver, and spleen) in mice. Unexpectedly, GNE684 administration also reversed the marked loss of regulatory T cells in the intestines and liver during GVHD and reduced splenic T cell exhaustion, thus improving immune reconstitution. Pharmacological and genetic inhibition of RIP1 improved long-term survival without compromising the graft-versus-leukemia (GVL) effect in lymphocytic and myeloid leukemia mouse models. Thus, RIP1inhibition may represent a nonimmunosuppressive treatment for GVHD.

Indexed as

Graft vs Host DiseaseHematopoietic Stem Cell TransplantationImmune ReconstitutionLeukemiaAnimalsCytokinesHumansMiceCytokines

Identifiers

PMID38117900
PMCPMC11157567
OpenAlexW4389989775

What OpenQuestion holds

Textmetadata
LicenceTDM
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.