Evidence map›Paper›PMID 34543391›Full record

ArticleBlood advances2021

HGAL inhibits lymphoma dissemination by interacting with multiple cytoskeletal proteins.

Xiaoyu Jiang, XiaoQing Lu, Andrew J Gentles, Dekuang Zhao, Seth A Wander, Yu Zhang, Yasodha Natkunam, Joyce Slingerland, Isildinha M Reis, Brian Rabinovich and 3 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

13 authors at 4 institutions in 2 countries.

Xiaoyu JiangDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.ORCID 0000-0002-3517-9843
XiaoQing LuDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.
Andrew J GentlesDepartment of Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA.
Dekuang ZhaoDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.
Seth A WanderDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.
Yu ZhangDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.
Yasodha NatkunamDepartment of Pathology, Stanford University School of Medicine, Stanford, CA.
Joyce SlingerlandDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.
Isildinha M ReisDepartment of Public Health Science, and.
Brian RabinovichEMD Serono Research and Development Institute, Boston, MA.
Midhat H AbdulredaDiabetes Research Institute Department of Surgery.
Vincent T MoyDepartment of Physiology and Biophysics, and.
Izidore S LossosDivision of Hematology-Oncology, Department of Medicine, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.ORCID 0000-0002-9346-9013
University of Miami · USStanford University · USInstitute of Molecular Biology and Biophysics · RUOno Pharmaceutical (United States) · US

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI George S. Grills · 2019 to 2026
$24.1M
Identify the Mechanisms of LMO2-Mediated Inhibition of Homologous Recombination and Establish PARP-Targeted Synthetic Lethality as a New Therapy for DLBCLR01CA233945 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOSSOS, IZIDORE S, VERDUN, RAMIRO ERNESTO · 2019 to 2023
$1.8M
Mechanisms of islet transplant immune toleranceR56AI130330 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ABDULREDA, MIDHAT H · 2017 to 2017
$384k
NCI NIH HHS P30 CA240139NCI NIH HHS R01 CA233945NIAID NIH HHS R56 AI130330
6 · The paper itself

Abstract

Human germinal center-associated lymphoma (HGAL) is an adaptor protein specifically expressed in germinal center lymphocytes. High expression of HGAL is a predictor of prolonged survival of diffuse large B-cell lymphoma (DLBCL) and classic Hodgkin lymphoma. Furthermore, HGAL expression is associated with early-stage DLBCL, thus potentially limiting lymphoma dissemination. In our previous studies, we demonstrated that HGAL regulates B-cell receptor signaling and cell motility in vitro and deciphered some molecular mechanisms underlying these effects. By using novel animal models for in vivo DLBCL dispersion, we demonstrate here that HGAL decreases lymphoma dissemination and prolongs survival. Furthermore, by using an unbiased proteomic approach, we demonstrate that HGAL may interact with multiple cytoskeletal proteins thereby implicating a multiplicity of effects in regulating lymphoma motility and spread. Specifically, we show that HGAL interacts with tubulin, and this interaction may also contribute to HGAL effects on cell motility. These findings recapitulate previous observations in humans, establish the role of HGAL in dissemination of lymphoma in vivo, and explain improved survival of patients with HGAL-expressing lymphomas.

Indexed as

Cytoskeletal ProteinsLymphoma, Large B-Cell, DiffuseAnimalsHumansIntracellular Signaling Peptides and ProteinsMiceMice, TransgenicMicrofilament ProteinsNeoplasm ProteinsProteomicsCytoskeletal ProteinsGCSAM protein, humanIntracellular Signaling Peptides and ProteinsMicrofilament ProteinsNeoplasm Proteins

Identifiers

PMID34543391
PMCPMC9153012
OpenAlexW3200094965

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.