Evidence map›Paper›PMID 26963739›Full record

ArticlemAbs

Humanized mouse G6 anti-idiotypic monoclonal antibody has therapeutic potential against IGHV1-69 germline gene-based B-CLL.

De-Kuan Chang, Vinodh B Kurella, Subhabrata Biswas, Yuval Avnir, Jianhua Sui, Xueqian Wang, Jiusong Sun, Yanyan Wang, Madhura Panditrao, Eric Peterson and 7 more

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Chronic Lymphocytic Leukemia.Cold Spring Harbor perspectives in medicine · 2021
    Review
  3. Article
  4. Article
  5. Review
  6. 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

17 authors at 3 institutions in 2 countries.

De-Kuan Changa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Vinodh B Kurellaa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Subhabrata Biswasa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Yuval Avnira Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Jianhua Suia Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Xueqian Wanga Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Jiusong Suna Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Yanyan Wanga Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Madhura Panditraoa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Eric Petersona Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Aimee Tallaricoa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Stacey Fernandesc Department of Medical Oncology , Dana-Farber Cancer Institute , Boston , MA , USA.
Margaret Goodalld Division of Immunity and Infection, University of Birmingham, School of Medicine , Edgbaston, Birmingham , UK.
Quan Zhua Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Jennifer R Brownc Department of Medical Oncology , Dana-Farber Cancer Institute , Boston , MA , USA.
Roy Jefferisd Division of Immunity and Infection, University of Birmingham, School of Medicine , Edgbaston, Birmingham , UK.
Wayne A Marascoa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Dana-Farber Cancer Institute · USHarvard University · USUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 10-20% of the cases of chronic lymphocytic leukemia of B-cell phenotype (B-CLL), the IGHV1-69 germline is utilized as VH gene of the B cell receptor (BCR). Mouse G6 (MuG6) is an anti-idiotypic monoclonal antibody discovered in a screen against rheumatoid factors (RFs) that binds with high affinity to an idiotope expressed on the 51p1 alleles of IGHV1-69 germline gene encoded antibodies (G6-id(+)). The finding that unmutated IGHV1-69 encoded BCRs are frequently expressed on B-CLL cells provides an opportunity for anti-idiotype monoclonal antibody immunotherapy. In this study, we first showed that MuG6 can deplete B cells encoding IGHV1-69 BCRs using a novel humanized GTL mouse model. Next, we humanized MuG6 and demonstrated that the humanized antibodies (HuG6s), especially HuG6.3, displayed ∼2-fold higher binding affinity for G6-id(+) antibody compared to the parental MuG6. Additional studies showed that HuG6.3 was able to kill G6-id(+) BCR expressing cells and patient B-CLL cells through antibody-dependent cell-mediated cytotoxicity (ADCC) and complement-dependent cytotoxicity (CDC). Finally, both MuG6 and HuG6.3 mediate in vivo depletion of B-CLL cells in NSG mice. These data suggest that HuG6.3 may provide a new precision medicine to selectively kill IGHV1-69-encoding G6-id(+) B-CLL cells.

Indexed as

AnimalsAntibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedAntineoplastic AgentsHumansLeukemia, Lymphocytic, Chronic, B-CellMiceReceptors, Antigen, B-CellAntibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedAntineoplastic AgentsIGHV1-69 protein, humanReceptors, Antigen, B-CellB-cell chronic lymphocytic leukemiacytotoxicityGTL micehumanizationimmunotherapymonoclonal antibodyprecision medicine

Identifiers

PMID26963739
PMCPMC4966851
OpenAlexW2296489240

What OpenQuestion holds

Textmetadata
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.