Evidence map›Paper›PMID 39976089›Full record

ReviewCurrent gene therapy2026

Targeting of YKL-40 as a Protumor in Personalized Medicine: A New Dimension in Disease Understanding.

Hebatallah Ahmed Mohamed Moustafa, Ahmed Umer Sohaib, Iqra Saleem, Asmat Ullah

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Hebatallah Ahmed Mohamed MoustafaClinical Pharmacy and Pharmacy Practice Department, Faculty of Pharmacy, Badr University in Cairo, Cairo, Egypt.ORCID 0000-0003-4530-406X
Ahmed Umer SohaibFaculty of Pharmacy, Superior University, Lahore, Pakistan.ORCID 0000-0002-6175-7491
Iqra SaleemDepartment of Pharmaceutical Sciences, Swedish College of Pharmacy and Allied Health Sciences, Rahim Yar Khan, Pakistan.
Asmat UllahClinical Research Institute, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividualization of the therapeutic plan for cancer patients is the essence of modern clinical practice. Standard cancer diagnostic and prognostic factors are invasive, and their value for the stratification of cancer patients with a higher risk of local or distant recurrence is limited. YKL-40 is a protumor glycoprotein linked to the immunosuppressive tumor in a microenvironment and an important biomarker of cell activation, proliferation, and migration.

objectiveThe objective is to update the review, and molecular and clinical research should investigate novel modalities of targeting this glycoprotein for cancer treatment.

methodsRelevant studies published in the English language were identified by searching PubMed, Google Scholar, and MEDLINE from January 2000 to December 2023. Published studies that specifically elicited the role of YKL-40 as a biomarker in different types of tumors were included.

resultsYKL-40 cancer prognostic effect was reported in various cancer types.

conclusionSince antibodies against YKL-40 can inhibit tumor angiogenesis and cancer progression, it can be suggested as an attractive candidate for chemical cancer therapy and immunomodulation.

Indexed as

Biomarkers, TumorChitinase-3-Like Protein 1NeoplasmsPrecision MedicineHumansPrognosisTumor MicroenvironmentBiomarkers, TumorCHI3L1 protein, humanChitinase-3-Like Protein 1biomarkerscancerCHI3L1malignancypersonalized medicineprognosisYKL-40

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.