Evidence map›Paper›PMID 36568055›Full record

ReviewJournal of advanced pharmaceutical technology & research

Cancer and Disease Diagnosis - Biosensor as Potential Diagnostic Tool for Biomarker Detection.

Gul-E-Saba Chaudhry, Abdah Md Akim, Naila Safdar, Azra Yasmin, Shaheen Begum, Yeong Yik Sung, Tengku Sifzizul Tengku Muhammad

Abstract readReview
In one paragraph

Review in Journal of advanced pharmaceutical technology & research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
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  6. Article
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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

7 authors.

Gul-E-Saba ChaudhryInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, 21300 Kuala Nerus, Kuala Terengganu, Malaysia.
Abdah Md AkimDepartment of Biomedical Sciences, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia.
Naila SafdarMicrobiology and Biotechnology Research Laboratory, Department of Biotechnology, Fatima Jinnah Women University, Rawalpindi, Punjab, Pakistan.
Azra YasminMicrobiology and Biotechnology Research Laboratory, Department of Biotechnology, Fatima Jinnah Women University, Rawalpindi, Punjab, Pakistan.
Shaheen BegumDepartment of Environmental Sciences, Fatima Jinnah Women University, Rawalpindi, Punjab, Pakistan.
Yeong Yik SungInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, 21300 Kuala Nerus, Kuala Terengganu, Malaysia.
Tengku Sifzizul Tengku MuhammadInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, 21300 Kuala Nerus, Kuala Terengganu, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of cancer biomarkers has enormous promise for advancing our molecular understanding of illness and facilitating more precise and timely diagnosis and follow-up care. MicroRNA, exosomes, ctDNA, CTCs, and proteins are only some of the circulating biomarkers that can be detected by liquid biopsy instead of the more intrusive and time-consuming process of doing a tissue biopsy. As the cancer diagnosis bio-markers reveal ultra-low levels in the early stages of the disease, highly sensitive approaches are urgently required. Researchers have taken an interest in a optical biosensor for detecting cancer biomarkers as a potential tool for early disease diagnosis. These techniques have the potential to aid in the development of effective treatments, ultimately leading to a higher rate of patient survival. This review briefly discuss the i) understanding of cancer and biomarkers for early diagonosis purpose ii) Molecular methods and ii) biosensor-based diagnostics. The reseach primary focus on advancement in biosensor design using various concepts ie., Electrochemical, Chemiluminescence and Colorimetric, Surface plasmons (SP), Surface plasmon resonance (SPR), localized surface plasmon resonance (LSPR), Fluorescence, Fiber-based sensors, Terahertz based biosensors, and Surface enhanced Raman spectroscopy (SERS). As a result of the local electric field amplification around plasmonic (usually gold and silver) nanostructures, surface-enhanced Raman spectroscopy (SERS) has emerged as a rapid, selective, and sensitive alternative to conventional laboratory analytical methods, making significant strides in a number of biosensing applications but still under developing stage to be used as diagnostic tool in clinical research.

Indexed as

biosensorsCancercancer biomarkerdisease diagnosisnanoparticlesSERSSPSPR

Identifiers

PMID36568055
PMCPMC9784037

What OpenQuestion holds

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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.