Evidence map›Paper›PMID 38724755›Full record

ReviewCell biochemistry and biophysics2024

A Review on Picrosides Targeting NFκB and its Proteins for Treatment of Breast Cancer.

Deepika Soni, Zubina Anjum, Khalid Raza, Saurabh Verma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell biochemistry and biophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Deepika SoniNational Institute of Pathology, Safdarjung Hospital Campus, New Delhi, India.ORCID http://orcid.org/0000-0002-5781-9872
Zubina AnjumDepartment of Bioinformatics, Central University of South Bihar, Gaya, Bihar, India.
Khalid RazaDepartment of Computer Science, Jamia Millia Islamia, New Delhi, India.ORCID http://orcid.org/0000-0002-3646-6828
Saurabh VermaIndian Council of Medical Research, HRD Division, V. Ramalingaswami Bhawan, Ansari Nagar, New Delhi, India. svarmasv1@rediffmail.com.ORCID http://orcid.org/0000-0003-1489-1871

Funding

Department of Health and Research R.12013/12/2023-HR/ E-Office: 8206778
6 · The paper itself

Abstract

Breast cancer is the most frequently diagnosed disease causing most deaths in women worldwide. Chemotherapy and neo-adjuvant therapy are the standard method of treatment in early stages of breast cancer. However drug resistance in breast cancer limit the use of these methods for treatment. Research focus is now shifted towards identifying natural phytochemicals with lower toxicity. This review illustrates the NF κB interaction with different signaling pathways in normal condition, breast cancer and other cancer and thus represent a potential target for treatment. No reports are available on the action of picrosides on NFκB and its associated proteins for anticancer activity. In the present review, potential interaction of picrosides with NF-κB and its associated proteins is reviewed for anticancer action. Further, an important facet of this review entails the ADMET analysis of Picroside, elucidating key ADMET properties which serves to underscore the crucial characteristics of Picroside as a potential drug for treating breast cancer. Furthermore, in silico analysis of Picrosides was executed in order to get potential binding modes between ligand (Picrosides II) and NFκB.

Indexed as

Breast NeoplasmsNF-kappa BAntineoplastic AgentsFemaleHumansIridoid GlucosidesSignal TransductionAntineoplastic AgentsIridoid GlucosidesNF-kappa BAnticancerBreast cancerMolecular dockingNF-κBPhytochemicalsPicrosides

Identifiers

PMID38724755

What OpenQuestion holds

Textmetadata
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.