Evidence map›Paper›PMID 20953431›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2011

Anticancer Potentials of Root Extract of Polygala senega and Its PLGA Nanoparticles-Encapsulated Form.

Saili Paul, Soumya Sundar Bhattacharyya, Naoual Boujedaini, Anisur Rahman Khuda-Bukhsh

RetractedAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. RETRACTION: Anticancer Potentials of Root Extract ofEvidence-based complementary and alternative medicine : eCAM · 2026
    Article
  2. Article
  3. Article
  4. Enhanced Anticancer Activity ofPharmaceuticals (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Review
  7. Medicinal Plants and Other Living Organisms with Antitumor Potential against Lung Cancer.Evidence-based complementary and alternative medicine : eCAM · 2014
    Review
  8. Review
  9. Biosynthesis and immobilization of biofunctional allophycocyanin.Evidence-based complementary and alternative medicine : eCAM · 2011
    Article
  10. Development of botanicals to combat antibiotic resistance.Journal of Ayurveda and integrative medicine
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Saili PaulCytogenetics and Molecular Biology Laboratory, Department of Zoology, University of Kalyani, Kalyani 741235, India.
Soumya Sundar Bhattacharyya
Naoual Boujedaini
Anisur Rahman Khuda-Bukhsh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethanolic extract of Polygala senega (EEPS) had little or no cytotoxic effects on normal lung cells, but caused cell death and apoptosis to lung cancer cell line A549. In the present paper, ethanolic root extract of P. senega (EEPS) was nanoencapsulated (size: 147.7 nm) by deploying a biodegradable poly-(lactic-co-glycolic) acid (PLGA). The small size of the NEEPS resulted in an enhanced cellular entry and greater bioavailability. The growth of cancer cells was inhibited better by NEEPS than EEPS. Both EEPS and NEEPS induced apoptosis of A549 cells, which was associated with decreased expression of survivin, PCNA mRNA, and increased expression of caspase-3, p53 mRNAs of A549 cells. The results show that the anticancer potential of the formulation of EEPS-loaded PLGA nanoparticles was more effective than EEPS per se, probably due to more aqueous dispersion after nanoencapsulation. Therefore, nanoencapsulated ethanolic root extract of P. senega may serve as a potential chemopreventive agent against lung cancer.

Identifiers

PMID20953431
PMCPMC2952309

What OpenQuestion 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 OpenQuestion graph.