Evidence map›Paper›PMID 41104245›Full record

ArticleIranian journal of pharmaceutical research : IJPR

In-vitro Assessment of the Proliferation and Apoptosis of Thyroid Cancer Cells Using Valproic Acid and Retinoic Acid Alone and in Combination with Etoposide and Epirubicin.

Ramin Ebrahimi Kiasari, Ghazaleh Ghavami, Soroush Sardari

Abstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Ramin Ebrahimi KiasariِDrug Design and Bioinformatics Unit, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Ghazaleh GhavamiِDrug Design and Bioinformatics Unit, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Soroush SardariِDrug Design and Bioinformatics Unit, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0001-5984-0336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroid cancer remains a significant global health concern, necessitating the development of more effective treatment strategies. Methods: This study investigated the therapeutic potential of valproic acid (VA) and retinoic acid (RA), both as single agents and in combination with conventional chemotherapeutics etoposide (Et) and epirubicin (Ep), using in vitro models of thyroid cancer. The research employed two representative cell lines: B-CPAP (poorly differentiated thyroid carcinoma) and SW-1736 (anaplastic thyroid carcinoma). Through comprehensive experimental approaches, including MTT viability assays, flow cytometry-based apoptosis and cell cycle analysis, and scratch wound migration assays, we systematically evaluated the compounds' effects. Results: The results revealed distinct pharmacological profiles: The RA demonstrated superior cytotoxicity with significantly lower IC Conclusions: These findings collectively demonstrate RA's potent anticancer activity and its ability to synergize with conventional chemotherapeutics, highlighting its potential as a promising candidate for combination therapy in thyroid cancer treatment. The study provides compelling preclinical evidence supporting further investigation of RA-based therapeutic strategies through advanced preclinical studies and clinical trials.

Indexed as

EpirubicinEtoposidePapillary Thyroid CancerRetinoic AcidValproic Acid

Identifiers

PMID41104245
PMCPMC12523901

What Socratic holds

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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 Socratic graph.