Evidence map›Paper›PMID 40655611›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Mechanistic Evaluation of Thymoquinone Derivative-Induced Apoptosis in Human Glioblastoma Cells.

Manmeet Kour, Jagjeet Kour, Bisma Yousuf, Shashank K Singh

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 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. Review
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.

Manmeet KourPharmacology Division, CSIR- Indian Institute of Integrative Medicine, Jammu, Jammu and Kashmir, India.
Jagjeet KourPharmacology Division, Branch Laboratory Sanat Nagar, CSIR- Indian Institute of Integrative Medicine, Jammu and Kashmir, India.
Bisma YousufPharmacology Division, CSIR- Indian Institute of Integrative Medicine, Jammu, Jammu and Kashmir, India.
Shashank K SinghPharmacology Division, CSIR- Indian Institute of Integrative Medicine, Jammu, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma is a highly aggressive brain tumor with limited treatment options, necessitating the development of targeted and effective therapeutics. Thymoquinone (TQ), a natural compound with known anticancer potential, has been modified to enhance its efficacy. Materials and Methods: A series of TQ derivatives (SS-01 to SS-05) and the parent compound (SS-06) were synthesized and screened for cytotoxic activity using the Sulforhodamine B (SRB) assay against various cancer cell lines-glioblastoma (SNB-19, U251), breast carcinoma (MCF-7, MD-MBA-231), pancreatic carcinoma (MIAPaCa, PANC-1), lung carcinoma (A549), prostate carcinoma (PC3)-and a normal fibroblast cell line (FR2). The most promising derivative, SS-03, was further evaluated in U251 glioblastoma cells using colony formation assay, Western blotting for apoptotic markers, and flow cytometry for cell cycle analysis. Results: Among all derivatives, SS-03 exhibited the highest cytotoxicity, particularly against U251 glioblastoma cells. SS-03 treatment significantly increased the Bax/Bcl-2 ratio, induced apoptosis, arrested the cell cycle in S-phase, and suppressed colony formation in a dose-dependent manner. Importantly, SS-03 showed selective toxicity towards cancer cells while sparing normal fibroblasts. Conclusion: SS-03, a novel TQ derivative, demonstrates potent anticancer activity against glioblastoma cells through apoptosis induction and cell cycle arrest.

Indexed as

Apoptosiscancer therapeuticscell cycle arrestcytotoxicityglioblastomaSS-03thymoquinone

Identifiers

PMID40655611
PMCPMC12247155

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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.