Evidence map›Paper›PMID 32614706›Full record

ArticleHuman vaccines & immunotherapeutics2020

Bispecific antibodies: a novel approach for targeting prominent biomarkers.

Akshita Gupta, Yatender Kumar

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. EnhancedResearch in pharmaceutical sciences · 2023
    Article
  3. Review
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

2 authors at 1 institution in 1 country.

Akshita GuptaDivision of Biological Sciences and Engineering, Netaji Subhas University of Technology (NSUT) , New Delhi, India.
Yatender KumarDivision of Biological Sciences and Engineering, Netaji Subhas University of Technology (NSUT) , New Delhi, India.ORCID 0000-0002-9835-9892
Netaji Subhas University of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many types of cancers are prevalent in India and worldwide. Monoclonal antibodies (MAbs) are one of the major types of cancer therapeutics, which have included MAbs of hybridoma, chimeric, humanized, or human origin. MAbs are mostly generated currently by direct cloning from B cells. Bispecific antibodies (BAbs), as the name suggests, have two different antigen-binding domains in a single molecule and thus have dual functionality/specificity combined in a single antibody. In addition to the detection of two different antigenic molecules, the dual functionality of BAbs can be utilized to mount T-cell-mediated killing of tumor cells wherein one Fv binds to the tumor-specific antigen and the another recruits T cells to the site of action. Breast cancer and prostate cancer are among the most prevalent cancers in women and men, respectively. Biomarkers such as HER2 and ER/PR are expressed in breast cancer, while overexpression of hepsin and prostate-specific membrane antigen is observed in prostate cancer. Developing BAbs against these biomarkers may be a potent therapeutic option to target breast and prostate cancer, respectively. Therefore, an efficient method using recombinant DNA technology and mammalian cell culture platform is required to generate BAbs against specific diseases as biomarkers as well as for the generation of antibody-based therapeutics.

Indexed as

Antibodies, BispecificAnimalsAntibodies, MonoclonalAntigens, NeoplasmBiomarkersHumansIndiaMaleAntibodies, BispecificAntibodies, MonoclonalAntigens, NeoplasmBiomarkersbiomarkerBispecific antibodiesBiTEcancer

Identifiers

PMID32614706
PMCPMC7746243
OpenAlexW3040556384

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.