Evidence map›Paper›PMID 41957882›Full record

ReviewCancer medicine2026

Biopharmaceuticals for Cancer Treatment: An Update.

Anupom Deb Nath, Yousuf Alam, Afsana Mustak Mim, Maksuda Akter, Mohammad Abbas Gani, Khondaker Muhammad Khairul Alam, Md Nur Alam

Abstract readReview
In one paragraph

Review in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anupom Deb NathFaculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Yousuf AlamDepartment of Pharmacy, Jahangirnagar University, Dhaka, Bangladesh.
Afsana Mustak MimDepartment of Pharmacy, Jahangirnagar University, Dhaka, Bangladesh.
Maksuda AkterFaculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Mohammad Abbas GaniDepartment of Pharmacy, Jahangirnagar University, Dhaka, Bangladesh.
Khondaker Muhammad Khairul AlamDepartment of Pharmacy, Jahangirnagar University, Dhaka, Bangladesh.
Md Nur AlamDepartment of Pharmacy, Jahangirnagar University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is one of the most debilitating diseases, causing profound physical and psychological impacts on patients. The global number of cancer patients has been steadily rising over the last few decades. The development of effective cancer therapies remains the primary focus in life science research, requiring a precise understanding of specific pathways and the regulation of tumor markers. The approved cancer therapies demonstrate effectiveness by acting on specific regulatory enzymes, components required for cell division, hormones, and cell-specific receptors, etc. While small-molecule drugs continue to dominate the market of cancer treatments, there has been a significant increase in the approval of biopharmaceutical drugs in recent years. These approved biopharmaceuticals are expanding the treatment options and extending the lives of millions of cancer patients. In this review, we explored the potential targets for developing anticancer drugs and discussed the application of approved anticancer biopharmaceutical drugs with current challenges and future perspectives.

Indexed as

Antineoplastic AgentsBiological ProductsNeoplasmsAnimalsHumansMolecular Targeted TherapyAntineoplastic AgentsBiological Productsanticancer drugsapproved cancer drugsbiopharmaceuticalscancercancer drug targets

Identifiers

PMID41957882
PMCPMC13065502

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.