Evidence map›Paper›PMID 37174125›Full record

ReviewCancers2023

Endorsement of TNBC Biomarkers in Precision Therapy by Nanotechnology.

Aiswarya Chaudhuri, Dulla Naveen Kumar, Deepa Dehari, Rohit Patil, Sanjay Singh, Dinesh Kumar, Ashish Kumar Agrawal

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
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  4. Expression Profile ofInternational journal of molecular sciences · 2025
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  18. Role of ICAM-1 in triple-negative breast cancer.Open medicine (Warsaw, Poland) · 2024
    Article
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

7 authors at 2 institutions in 1 country.

Aiswarya ChaudhuriDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.ORCID 0000-0002-6045-6590
Dulla Naveen KumarDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.ORCID 0000-0003-2415-7806
Deepa DehariDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.
Rohit PatilDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.ORCID 0000-0003-3837-7105
Sanjay SinghDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.
Dinesh KumarDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.
Ashish Kumar AgrawalDepartment of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India.ORCID 0000-0002-7302-3647
Indian Institute of Technology BHU · INBabasaheb Bhimrao Ambedkar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease which accounts globally for approximately 1 million new cases annually, wherein more than 200,000 of these cases turn out to be cases of triple-negative breast cancer (TNBC). TNBC is an aggressive and rare breast cancer subtype that accounts for 10-15% of all breast cancer cases. Chemotherapy remains the only therapy regimen against TNBC. However, the emergence of innate or acquired chemoresistance has hindered the chemotherapy used to treat TNBC. The data obtained from molecular technologies have recognized TNBC with various gene profiling and mutation settings that have helped establish and develop targeted therapies. New therapeutic strategies based on the targeted delivery of therapeutics have relied on the application of biomarkers derived from the molecular profiling of TNBC patients. Several biomarkers have been found that are targets for the precision therapy in TNBC, such as EGFR, VGFR, TP53, interleukins, insulin-like growth factor binding proteins, c-MET, androgen receptor, BRCA1, glucocorticoid, PTEN, ALDH1, etc. This review discusses the various candidate biomarkers identified in the treatment of TNBC along with the evidence supporting their use. It was established that nanoparticles had been considered a multifunctional system for delivering therapeutics to target sites with increased precision. Here, we also discuss the role of biomarkers in nanotechnology translation in TNBC therapy and management.

Indexed as

biomarkersnanoparticlespersonalized therapytargeted therapytriple-negative breast cancer

Identifiers

PMID37174125
PMCPMC10177107
OpenAlexW4376631280

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.