Evidence map›Paper›PMID 39061656›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Recent Advances in Biosensor Technology for Early-Stage Detection of Hepatocellular Carcinoma-Specific Biomarkers: An Overview.

Raja Chinnappan, Tariq Makhzoum, Momo Arai, Amro Hajja, Farah Abul Rub, Ibrahim Alodhaibi, Mohammed Alfuwais, Muhammad Affan Elahi, Eman Abdullah Alshehri, Lohit Ramachandran and 6 more

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

16 authors.

Raja ChinnappanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-2288-4287
Tariq MakhzoumCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0003-4237-2016
Momo AraiCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0009-0004-7650-1212
Amro HajjaCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Farah Abul RubCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Ibrahim AlodhaibiCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0009-0006-1227-7359
Mohammed AlfuwaisCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Muhammad Affan ElahiCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Eman Abdullah AlshehriTissue/Organ Bioengineering & BioMEMS Laboratory, Organ Transplant Centre of Excellence (TR&I-Dpt), King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia.
Lohit RamachandranMicrofluidics, Sensors & Diagnostics (μSenD) Laboratory, Centre for Microfluidics, Biomarkers, Photoceutics and Sensors (μBioPS), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.ORCID 0009-0008-5232-3991
Naresh Kumar ManiMicrofluidics, Sensors & Diagnostics (μSenD) Laboratory, Centre for Microfluidics, Biomarkers, Photoceutics and Sensors (μBioPS), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Shugufta AbrahimGraduate School of Science and Engineering for Education, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan.
Mohammad Shabab MirSchool of Pharmacy, Desh Bhagat University, Mandi Gobindgarh 147301, Punjab, India.
Khaled Al-KattanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-1372-9883
Tanveer Ahmad MirCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Ahmed YaqinuddinCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0001-7536-910X

Funding

Alfaisal University NA
6 · The paper itself

Abstract

Hepatocellular carcinoma is currently the most common malignancy of the liver. It typically occurs due to a series of oncogenic mutations that lead to aberrant cell replication. Most commonly, hepatocellular carcinoma (HCC) occurs as a result of pre-occurring liver diseases, such as hepatitis and cirrhosis. Given its aggressive nature and poor prognosis, the early screening and diagnosis of HCC are crucial. However, due to its plethora of underlying risk factors and pathophysiologies, patient presentation often varies in the early stages, with many patients presenting with few, if any, specific symptoms in the early stages. Conventionally, screening and diagnosis are performed through radiological examination, with diagnosis confirmed by biopsy. Imaging modalities tend to be limited by their requirement of large, expensive equipment; time-consuming operation; and a lack of accurate diagnosis, whereas a biopsy's invasive nature makes it unappealing for repetitive use. Recently, biosensors have gained attention for their potential to detect numerous conditions rapidly, cheaply, accurately, and without complex equipment and training. Through their sensing platforms, they aim to detect various biomarkers, such as nucleic acids, proteins, and even whole cells extracted by a liquid biopsy. Numerous biosensors have been developed that may detect HCC in its early stages. We discuss the recent updates in biosensing technology, highlighting its competitive potential compared to conventional methodology and its prospects as a tool for screening and diagnosis.

Indexed as

biosensorscancer biomarkershepatocellular carcinomaliver diseases diagnosis

Identifiers

PMID39061656
PMCPMC11276200

What Socratic 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 Socratic graph.