Evidence map›Paper›PMID 40612874›Full record

ReviewOncology research2025

Unlocking the potential of tumor-targeting peptides in precision oncology.

Hafiz Muhammad Rehman, Sidra Ahmad, Azeem Sarwar, Hamid Bashir

Abstract readReview
In one paragraph

Review in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Extraction of pH-Dependent DNA-Binding Anti-Tumoral Peptides fromPharmaceuticals (Basel, Switzerland) · 2026
    Article
  5. Review
  6. 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.

Hafiz Muhammad RehmanUniversity Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, 54590, Pakistan.
Sidra AhmadCentre for Applied Molecular Biology, 87-West Canal, Bank Road, University of the Punjab, Lahore, 53700, Pakistan.
Azeem SarwarUniversity Institute of Medical Lab Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, 54590, Pakistan.
Hamid BashirCentre for Applied Molecular Biology, 87-West Canal, Bank Road, University of the Punjab, Lahore, 53700, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted cancer therapy has emerged as a promising alternative to conventional chemotherapy, which is often plagued by poor selectivity, off-target effects, and drug resistance. Among the various targeting agents in development, peptides stand out for their unique advantages, including minimal immunogenicity, high tissue penetration, and ease of modification. Their small size, specificity, and flexibility allow them to target cancer cells while minimizing damage to healthy tissue selectively. Peptide-based therapies have shown great potential in enhancing the efficacy of drug delivery, improving tumor imaging, and reducing adverse effects. With cancer responsible for millions of deaths worldwide, the development of peptide-based therapeutics offers new hope in addressing the limitations of current treatments. As detailed studies on different aspects of targeting peptides are crucial for optimizing drug development, this review provides a comprehensive overview of the literature on tumor-targeting peptides, including their structure, sources, modes of action, and their application in cancer therapy-both as standalone agents and in fusion drugs. Additionally, various computational tools for peptide-based tumor-targeting drug design and validation are explored. The promising results from these studies highlight peptides as ideal candidates for targeted cancer therapies, offering valuable insights for researchers and accelerating the discovery of novel anti-tumor peptide base drug candidates.

Indexed as

Antineoplastic AgentsNeoplasmsPeptidesPrecision MedicineAnimalsDrug Delivery SystemsHumansMolecular Targeted TherapyAntineoplastic AgentsPeptidesAnti-cancer peptide sourcesCancer cell mechanismCancer informaticsPeptide therapeuticsTargeting peptides

Identifiers

PMID40612874
PMCPMC12215588

What OpenQuestion holds

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LicenceCC BY
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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.