Evidence map›Paper›PMID 36770815›Full record

ReviewMolecules (Basel, Switzerland)2023

Anti-Cancer Peptides: Status and Future Prospects.

Gehane Ghaly, Hatem Tallima, Eslam Dabbish, Norhan Badr ElDin, Mohamed K Abd El-Rahman, Mahmoud A A Ibrahim, Tamer Shoeib

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  9. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
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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.

Gehane GhalyDepartment of Chemistry, The American University in Cairo, New Cairo 11835, Egypt.
Hatem TallimaDepartment of Chemistry, The American University in Cairo, New Cairo 11835, Egypt.
Eslam DabbishDepartment of Chemistry, The American University in Cairo, New Cairo 11835, Egypt.
Norhan Badr ElDinAnalytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr-El Aini Street, Cairo 11562, Egypt.ORCID 0000-0002-2795-6382
Mohamed K Abd El-RahmanAnalytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr-El Aini Street, Cairo 11562, Egypt.
Mahmoud A A IbrahimComputational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia 61519, Egypt.ORCID 0000-0003-4819-2040
Tamer ShoeibDepartment of Chemistry, The American University in Cairo, New Cairo 11835, Egypt.ORCID 0000-0003-3512-1593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dramatic rise in cancer incidence, alongside treatment deficiencies, has elevated cancer to the second-leading cause of death globally. The increasing morbidity and mortality of this disease can be traced back to a number of causes, including treatment-related side effects, drug resistance, inadequate curative treatment and tumor relapse. Recently, anti-cancer bioactive peptides (ACPs) have emerged as a potential therapeutic choice within the pharmaceutical arsenal due to their high penetration, specificity and fewer side effects. In this contribution, we present a general overview of the literature concerning the conformational structures, modes of action and membrane interaction mechanisms of ACPs, as well as provide recent examples of their successful employment as targeting ligands in cancer treatment. The use of ACPs as a diagnostic tool is summarized, and their advantages in these applications are highlighted. This review expounds on the main approaches for peptide synthesis along with their reconstruction and modification needed to enhance their therapeutic effect. Computational approaches that could predict therapeutic efficacy and suggest ACP candidates for experimental studies are discussed. Future research prospects in this rapidly expanding area are also offered.

Indexed as

Antineoplastic AgentsNeoplasmsHumansPeptidesAntineoplastic AgentsPeptidesanticancer peptidescancer microenvironmentcancer therapypeptide conformationpeptide mode of action

Identifiers

PMID36770815
PMCPMC9920184

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.