Evidence map›Paper›PMID 42766044›Full record

ReviewJournal of the Egyptian National Cancer Institute2026

Recent advances in hormone-based biopharmaceuticals for cancer therapy.

Syahmi Nuqman Sarifulnazwan, Nur Alia Fatihah Mohd Tajuddin, Siti Nur Nadhirah Mohd Nasaruddin, Nur Malihah Imtiyaz Muhammad Mukmin, Engku Shifaa Nur Sahira Engku Abdul Malik, Muhammad Taher, Deny Susanti, Junaidi Khotib, Md Faiyazuddin, Riyanto Teguh Widodo and 2 more

Abstract readReview
In one paragraph

Review in Journal of the Egyptian National Cancer Institute, 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

12 authors.

Syahmi Nuqman SarifulnazwanInternational Islamic University Malaysia, Kuala Lumpur, Malaysia.
Nur Alia Fatihah Mohd TajuddinInternational Islamic University Malaysia, Kuala Lumpur, Malaysia.
Siti Nur Nadhirah Mohd NasaruddinInternational Islamic University Malaysia, Kuala Lumpur, Malaysia.
Nur Malihah Imtiyaz Muhammad MukminInternational Islamic University Malaysia, Kuala Lumpur, Malaysia.
Engku Shifaa Nur Sahira Engku Abdul MalikInternational Islamic University Malaysia, Kuala Lumpur, Malaysia.
Muhammad TaherInternational Islamic University Malaysia, Kuala Lumpur, Malaysia. mtaher@iium.edu.my.
Deny SusantiInternational Islamic University Malaysia, Kuala Lumpur, Malaysia. deny@iium.edu.my.ORCID http://orcid.org/0000-0002-5345-1150
Junaidi KhotibAirlangga University, Surabaya, Indonesia.
Md FaiyazuddinSaveetha Institute of Medical And Technical Sciences, Chennai, India.ORCID https://orcid.org/0000-0003-3455-8443
Riyanto Teguh WidodoUniversity of Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0001-7087-2873
Muhammad Salahuddin HarisUniversity of Kuala Lumpur, Kuala Lumpur, Malaysia. salahuddin.harith@unikl.edu.my.ORCID https://orcid.org/0000-0003-4708-4603
Hendra BudimanUniversitas Muhammadiyah Klaten, Klaten, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hormone-dependent cancers, particularly estrogen receptor-positive breast cancer and androgen receptor-driven prostate cancer, contribute substantially to global cancer-related morbidity and mortality. Endocrine therapy has long been the mainstay of treatment for these tumors because of its specific mechanism and good safety profile. The long-term success of common hormone-based treatments is often undermined by resistance, both intrinsic and acquired, disease recurrence, and the activation of compensatory pathways that tumor cells have adapted to. To overcome these challenges, it has been necessary to develop high-quality hormone-based biopharmaceuticals that target the molecular level, enhance pharmacokinetics, and apply precision medicine strategies. The goal of this literature review is to provide an update on progress in hormone-based biopharmaceuticals for cancer management, with a particular focus on preventing endocrine resistance in hormone-dependent cancers. Among the treatments mentioned in the review, most are oral selective estrogen receptor degraders (SERDs) for ER-positive breast cancer, oral gonadotropin-releasing hormone antagonists for prostate cancer, genomically guided combination therapy that integrates inhibitors of the CDK4/6 and PI3K/AKT/mTOR signaling pathways, and next-generation androgen receptor (AR) degraders based on proteolysis-targeting chimera (PROTAC) technology. There is new evidence that these biopharmaceutical methods may be able to treat patients better over longer periods. For those who are less responsive, these approaches are even more effective when paired with proper biopharmaceutical methods, as in the case of hormone therapy. While targeted protein degradation and biomarker-driven combination therapies are repositioning drug development away from receptor blockade, the latter remains the mainstay of treatment. However, these developments do not eliminate concerns related to long-term safety, cost-effectiveness, appropriate patient selection, and resistance to novel agents. The path for hormone-based biopharmaceuticals in personalized cancer therapy requires continuous translational research and clinical validation to determine the best place.

Indexed as

Antineoplastic Agents, HormonalBiological ProductsBreast NeoplasmsNeoplasmsProstatic NeoplasmsDrug Resistance, NeoplasmFemaleHumansMaleReceptors, AndrogenReceptors, EstrogenAntineoplastic Agents, HormonalBiological ProductsReceptors, AndrogenReceptors, EstrogenEndocrine resistanceEndocrine therapyGnRH antagonistsOral SERDs.PROTAC technology

Identifiers

PMID42766044
PMCPMC13594064

What OpenQuestion holds

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Registered trials

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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.