Evidence map›Paper›PMID 39256285›Full record

ArticleDiscover nano2024

Theranostics: aptamer-assisted carbon nanotubes as MRI contrast and photothermal agent for breast cancer therapy.

Akhil Khajuria, Hema K Alajangi, Akanksha Sharma, Harinder Kaur, Prakriti Sharma, Sushmita Negi, Laxmi Kumari, Manisha Trivedi, Ashok Kumar Yadav, Robin Kumar and 7 more

Abstract read
In one paragraph

Article in Discover nano, 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

17 authors.

Akhil Khajuria *University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Hema K Alajangi *University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Akanksha Sharma *University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Harinder KaurUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Prakriti SharmaDivision of Cell Biology and Imunology, Biomedical Parasitology and Translational-Immunology Lab, CSIR-Institute of Microbial Technology (IMTECH), Chandigarh, 160036, India.
Sushmita NegiDivision of Cell Biology and Imunology, Biomedical Parasitology and Translational-Immunology Lab, CSIR-Institute of Microbial Technology (IMTECH), Chandigarh, 160036, India.
Laxmi KumariUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Manisha TrivediIndian Pharmacopoeia Commission, Ministry of Health and Family Welfare, Government of India, Ghaziabad, 201002, India.
Ashok Kumar YadavUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Robin KumarIndian Pharmacopoeia Commission, Ministry of Health and Family Welfare, Government of India, Ghaziabad, 201002, India.
Rajeev Singh RaghuvanshiIndian Pharmacopoeia Commission, Ministry of Health and Family Welfare, Government of India, Ghaziabad, 201002, India.
Indu Pal KaurUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Rajeev K TyagiDivision of Cell Biology and Imunology, Biomedical Parasitology and Translational-Immunology Lab, CSIR-Institute of Microbial Technology (IMTECH), Chandigarh, 160036, India.
Pradeep Kumar JaiswalDepartment of Biochemistry and Biophysics, Texas A & M University, College Station, TX, 77843, USA.
Yong-Beom LimDepartment of Materials Science and Engineering, Yonsei University, Seoul, 03722, Korea. yblim@yonsei.ac.kr.
Ravi Pratap BarnwalDepartment of Biophysics, Panjab University, Chandigarh, 160014, India. barnwal@pu.ac.in.
Gurpal SinghUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India. gurpalsingh.ips@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the leading causes of death among women globally, making its diagnosis and treatment challenging. The use of nanotechnology for cancer diagnosis and treatment is an emerging area of research. To address this issue, multiwalled carbon nanotubes (MWCNTs) were ligand exchanged with butyric acid (BA) to gain hydrophilic character. The successful functionalization was confirmed by FTIR spectroscopy. Surface morphology changes were observed using SEM, while TEM confirmed the structural integrity of the MWCNTs after functionalization. Particle size, zeta potential, and UV spectroscopy were also performed to further characterize the nanoparticles. The breast cancer aptamer specific to Mucin-1 (MUC-1) was then conjugated with the functionalized MWCNTs. These MWCNTs successfully targeted breast cancer cells (MDA-MB-231) as examined by cellular uptake studies and exhibited a reduction in cancer-induced inflammation, as evidenced by gene transcription (qPCR) and protein expression (immunoblotting) levels. Immunoblot and confocal-based immunofluorescence assay (IFA) indicated the ability of CNTs to induce photothermal cell death of MDA-MB-231 cells. Upon imaging, cancer cells were effectively visualized due to the MWCNTs' ability to act as magnetic resonance imaging (MRI) contrast agents. Additionally, MWCNTs demonstrated photothermal capabilities to eliminate bound cancer cells. Collectively, our findings pave the way for developing aptamer-labeled MWCNTs as viable "theranostic alternatives" for breast cancer treatment.

Indexed as

AptamerBreast cancerMucinMWCNTNanotechnologyTheranostics

Identifiers

PMID39256285
PMCPMC11387581

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.