Evidence map›Paper›PMID 37395856›Full record

ReviewCell biochemistry and biophysics2023

Monoclonal Antibodies in Oncology: A Decade of Novel Options.

Vaibhavi Kardile, Atharva Kulkarni, Brinda Nadar, Tina Saldanha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell biochemistry and biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Vaibhavi KardileDepartment of Pharmacology, AISSMS College of Pharmacy, Pune, India.ORCID http://orcid.org/0000-0003-0950-9738
Atharva KulkarniDepartment of Pharmacology, AISSMS College of Pharmacy, Pune, India.ORCID http://orcid.org/0000-0003-0540-535X
Brinda NadarDepartment of Pharmacology, AISSMS College of Pharmacy, Pune, India.ORCID http://orcid.org/0000-0001-7584-0256
Tina SaldanhaDepartment of Pharmacology, AISSMS College of Pharmacy, Pune, India. tina_s@aissmscop.com.ORCID http://orcid.org/0000-0003-2067-9391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several decades of research and clinical trials have conclusively provided proof of concept on the usefulness of monoclonal antibodies in the armamentarium against cancer. There are numerous mAbs approved for both, the treatment of solid tumors as well as hematological malignancies. These have ranked in the top ten best-selling drugs in recent years and one such mAb, pembrolizumab, is slated to be the highest revenue-generating drug by 2024. A large proportion of the mAbs in oncology have been approved by regulatory agencies in just the past decade and many professionals working in the field have been unable to keep abreast with the latest mAbs available and their mechanism of action. In this review, we aim to provide a systematic compilation of the various mAbs in oncology, approved by the US FDA in the past decade. It also elaborates on the mechanism of action of the newly approved mAbs to provide an overall update of the same. For this purpose, we have referred to the Drugs at FDA and relevant articles from PubMed from the year 2010 to date.

Indexed as

Antineoplastic Agents, ImmunologicalNeoplasmsAnimalsAntigens, CDAntigens, NeoplasmHumansImmune Checkpoint ProteinsReceptors, Growth FactorTumor MicroenvironmentAntigens, CDAntigens, NeoplasmAntineoplastic Agents, ImmunologicalImmune Checkpoint ProteinsReceptors, Growth FactorCancerConjugated mAbsImmune checkpointsMechanism of actionMonoclonal antibodies

Identifiers

PMID37395856

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.