Evidence map›Paper›PMID 41008874›Full record

ReviewCancers2025

Protein and Peptide in Cancer Research: From Biomarker to Biotherapeutics.

Joo Hyeong Seo, Seung Hoon Shin, Hye Rin Woo, Yu Rim An, A Hyun Youn, Song Yeon Kim, Mi-Ran Ki, Seung Pil Pack

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Joo Hyeong SeoDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.ORCID 0009-0008-1591-571X
Seung Hoon ShinDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.ORCID 0009-0003-2463-3726
Hye Rin WooDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
Yu Rim AnDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
A Hyun YounDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
Song Yeon KimDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.ORCID 0000-0002-4335-025X
Mi-Ran KiInstitute of Industrial Technology, Korea University, Sejong 30019, Republic of Korea.ORCID 0000-0003-1501-7166
Seung Pil PackDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins and peptides play a pivotal role in key pathological processes, including cancer growth, immune evasion, angiogenesis, and metastasis. Consequently, they are gaining attention as significant biomolecules in the diagnosis and treatment of various diseases. This review provides a comprehensive overview of the latest research trends and technological advancements in protein- and peptide-based cancer diagnostic and therapeutic strategies. It covers the clinical application of major diagnostic markers such as PSA, CA125, HER2, and AFP, as well as therapeutic strategies including monoclonal antibodies, immune checkpoint inhibitors, and anticancer peptides. Additionally, it introduces quantitative analysis techniques such as ELISA, mass spectrometry, and CyTOF, as well as advancements in delivery systems based on nanoparticle-peptide complexes. Peptides offer advantages for precision therapy due to their high target specificity and structural modifiability. However, they also have limitations such as stability, enzymatic degradation, and delivery efficiency. Emerging technologies such as synthetic biology, computational design, and omics-integrated analysis are being developed to address these challenges, and rapid advancements in this field are enhancing the potential for clinical application. This review underscores the potential of protein- and peptide-based strategies for precision cancer diagnosis and personalized therapy and proposes future research directions in this field.

Indexed as

biomarkerbiotherapeuticscancerpeptideprotein

Identifiers

PMID41008874
PMCPMC12468110

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.