Evidence map›Paper›PMID 38946928›Full record

ReviewCancer innovation2024

Cancer treatment with biosimilar drugs: A review.

Shilpa Malakar, Emmanuel Nuah Gontor, Moses Y Dugbaye, Kamal Shah, Sakshi Sinha, Priya Sutaoney, Nagendra Singh Chauhan

Abstract readReview
In one paragraph

Review in Cancer innovation, 2024. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Shilpa MalakarDepartment of Microbiology Kalinga University Raipur Chhattisgarh India.
Emmanuel Nuah GontorDepartment of Microbiology Kalinga University Raipur Chhattisgarh India.
Moses Y DugbayeDepartment of Microbiology Kalinga University Raipur Chhattisgarh India.
Kamal ShahInstitute of Pharmaceutical Research GLA University Mathura Uttar Pradesh India.ORCID https://orcid.org/0000-0003-2389-0563
Sakshi SinhaDepartment of Microbiology Kalinga University Raipur Chhattisgarh India.
Priya SutaoneyDepartment of Microbiology Kalinga University Raipur Chhattisgarh India.
Nagendra Singh ChauhanDrug Testing Laboratory Avam Anusandhan Kendra Raipur Chhattisgarh India.ORCID 0000-0001-6748-5004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosimilars are biological drugs created from living organisms or that contain living components. They share an identical amino-acid sequence and immunogenicity. These drugs are considered to be cost-effective and are utilized in the treatment of cancer and other endocrine disorders. The primary aim of biosimilars is to predict biosimilarity, efficacy, and treatment costs; they are approved by the Food and Drug Administration (FDA) and have no clinical implications. They involve analytical studies to understand the similarities and dissimilarities. A biosimilar manufacturer sets up FDA-approved reference products to evaluate biosimilarity. The contribution of next-generation sequencing is evolving to study the organ tumor and its progression with its impactful therapeutic approach on cancer patients to showcase and target rare mutations. The study shall help to understand the future perspectives of biosimilars for use in gastro-entero-logic diseases, colorectal cancer, and thyroid cancer. They also help target specific organs with essential mutational categories and drug prototypes in clinical practices with blood and liquid biopsy, cell treatment, gene therapy, recombinant therapeutic proteins, and personalized medications. Biosimilar derivatives such as monoclonal antibodies like trastuzumab and rituximab are common drugs used in cancer therapy.

Indexed as

biologicsbiosimilarscancerEscherichia colimonoclonal antibodynext‐generation sequencingpharmacovigilance

Identifiers

PMID38946928
PMCPMC11212292

What OpenQuestion holds

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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.