Evidence map›Paper›PMID 42760454›Full record

ArticleJournal of imaging informatics in medicine2026

A Novel Approach to Evaluating the Synergistic Effect of Curcumin and Cisplatin on Breast Cancer Cells: AgNORs Staining Based on Machine Learning.

Gülay Sezer, Nalan İmamoglu, Melike Öztürk, Gülşah Avcı, Fatma Latifoğlu

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Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Gülay SezerMedical Faculty, Department of Pharmacology, Erciyes University, Kayseri, Türkiye.
Nalan İmamogluERFARMA Drug Application and Research Center, Erciyes University, Kayseri, Türkiye.
Melike ÖztürkERFARMA Drug Application and Research Center, Erciyes University, Kayseri, Türkiye.
Gülşah AvcıERFARMA Drug Application and Research Center, Erciyes University, Kayseri, Türkiye.
Fatma LatifoğluFaculty of Engineering, Department of Biomedical Engineering, Erciyes University, Kayseri, Türkiye. flatifoglu@erciyes.edu.tr.ORCID http://orcid.org/0000-0003-2018-9616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cisplatin, an antineoplastic drug commonly used to treat many solid tumors, has serious side effects that limit its clinical use. Therefore, combination therapy with curcumin may be a good option to increase efficacy. The number, size, and distribution of Argyrophilic Nucleolar Organizing Regions (AgNORs) in the nucleus are useful in tumor detection and prognosis; however, since manually determining AgNORs is time-consuming and error-prone, a method that allows for accurate and rapid determination is crucial. In this study, we aimed to evaluate the antiproliferative effects of curcumin and cisplatin combinations on breast cancer cells by analyzing AgNOR staining using machine learning methods. Therefore, we determined the IC

Indexed as

AgNORBreast cancerCisplatinCurcuminMachine learningRadiomic features

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.