Evidence map›Paper›PMID 26536350›Full record

ArticlePloS one2015

Potential Compounds for Oral Cancer Treatment: Resveratrol, Nimbolide, Lovastatin, Bortezomib, Vorinostat, Berberine, Pterostilbene, Deguelin, Andrographolide, and Colchicine.

Saurabh Bundela, Anjana Sharma, Prakash S Bisen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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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 at 2 institutions in 1 country.

Saurabh BundelaDefence Research Development Establishment, Defence Research Development Organization, Ministry of Defence, Govt. of India, Gwalior, Madhya Pradesh, India.
Anjana SharmaDepartment of Postgraduate Studies & Research in Biological Sciences, Rani Durgavati University, Jabalpur, Madhya Pradesh, India.
Prakash S BisenDefence Research Development Establishment, Defence Research Development Organization, Ministry of Defence, Govt. of India, Gwalior, Madhya Pradesh, India.
Rani Durgavati University · INMinistry of Defence · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer is one of the main causes of cancer-related deaths in South-Asian countries. There are very limited treatment options available for oral cancer. Research endeavors focused on discovery and development of novel therapies for oral cancer, is necessary to control the ever rising oral cancer related mortalities. We mined the large pool of compounds from the publicly available compound databases, to identify potential therapeutic compounds for oral cancer. Over 84 million compounds were screened for the possible anti-cancer activity by custom build SVM classifier. The molecular targets of the predicted anti-cancer compounds were mined from reliable sources like experimental bioassays studies associated with the compound, and from protein-compound interaction databases. Therapeutic compounds from DrugBank, and a list of natural anti-cancer compounds derived from literature mining of published studies, were used for building partial least squares regression model. The regression model thus built, was used for the estimation of oral cancer specific weights based on the molecular targets. These weights were used to compute scores for screening the predicted anti-cancer compounds for their potential to treat oral cancer. The list of potential compounds was annotated with corresponding physicochemical properties, cancer specific bioactivity evidences, and literature evidences. In all, 288 compounds with the potential to treat oral cancer were identified in the current study. The majority of the compounds in this list are natural products, which are well-tolerated and have minimal side-effects compared to the synthetic counterparts. Some of the potential therapeutic compounds identified in the current study are resveratrol, nimbolide, lovastatin, bortezomib, vorinostat, berberine, pterostilbene, deguelin, andrographolide, and colchicine.

Indexed as

AlgorithmsDatabases, PharmaceuticalDatabases, ProteinModels, StatisticalAdministration, OralAntineoplastic AgentsBerberineBortezomibColchicineDiterpenesHumansHydroxamic AcidsLimoninsLovastatinMouth NeoplasmsPredictive Value of TestsandrographolideAntineoplastic AgentsBerberineBortezomibColchicinedeguelinDiterpenesHydroxamic AcidsLimoninsLovastatinnimbolidepterostilbeneResveratrolRotenoneStilbenesVorinostat

Identifiers

PMID26536350
PMCPMC4633227
OpenAlexW2130512686

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.