Evidence map›Paper›PMID 39334944›Full record

ArticleBiomolecules2024

Synergistic Inhibition of Pancreatic Cancer Cell Growth and Migration by Gemcitabine and Withaferin A.

Renata Szydlak

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

1 author.

Renata SzydlakDepartment of Bioinformatics and Telemedicine, Faculty of Medicine, Jagiellonian University Medical College, Medyczna 7, 30-688 Krakow, Poland.ORCID 0000-0003-2760-2952

Funding

Ministry of Science and Higher Education N41/DBS/002846
6 · The paper itself

Abstract

Pancreatic cancer remains one of the most lethal malignancies due to its aggressive nature and resistance to conventional therapies. This study investigates the anti-proliferative, pro-apoptotic, and anti-migratory effects of Gemcitabine (GC) and Withaferin A (WFA) on pancreatic cancer cell lines PANC-1 and Hs766t. The MTS assay revealed that both compounds effectively inhibit cell proliferation, with WFA showing a stronger effect in Hs766t cells. Flow cytometry analysis demonstrated that GC and WFA, particularly in combination, significantly induce apoptosis in both cell lines. Migration assays confirmed the potent inhibition of cell migration by both compounds, with the combination treatment being the most effective. Furthermore, actin cytoskeleton analysis indicated substantial changes in cell morphology and stiffness, suggesting that GC and WFA disrupt the structural integrity of cancer cells. Additionally, the study highlights a ROS-mediated mechanism underlying the effects of GC and WFA, as evidenced by increased ROS levels following treatment, which were attenuated by N-acetylcysteine. Importantly, NF-κB activity was significantly modulated, with WFA reducing NF-κB activation induced by GC, potentially contributing to the synergistic pro-apoptotic effect of the combination. These findings suggest that the combination of GC and WFA may offer a synergistic therapeutic approach for treating pancreatic cancer by targeting multiple aspects of tumor cell behavior.

Indexed as

ApoptosisCell MovementCell ProliferationDeoxycytidineDrug SynergismGemcitabinePancreatic NeoplasmsWithanolidesCell Line, TumorHumansNF-kappa BReactive Oxygen SpeciesDeoxycytidineGemcitabineNF-kappa BReactive Oxygen Specieswithaferin AWithanolidesapoptosiscell migrationcombined therapygemcitabineNF-κBpancreatic cancerROS signalingWithaferin A

Identifiers

PMID39334944
PMCPMC11430445

What OpenQuestion holds

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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.