Evidence map›Paper›PMID 37444523›Full record

ReviewCancers2023

Emerging Biosensing Methods to Monitor Lung Cancer Biomarkers in Biological Samples: A Comprehensive Review.

Raja Chinnappan, Tanveer Ahmad Mir, Sulaiman Alsalameh, Tariq Makhzoum, Alaa Alzhrani, Khalid Alnajjar, Salma Adeeb, Noor Al Eman, Zara Ahmed, Ismail Shakir and 2 more

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  3. Can nanozymes achieve more than enzymes?Nature reviews. Materials · 2026
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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

12 authors at 2 institutions in 1 country.

Raja ChinnappanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-2288-4287
Tanveer Ahmad MirLaboratory of Tissue/Organ Bioengineering & BioMEMS, Organ Transplant Centre of Excellence, Transplant Research & Innovation Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia.ORCID 0000-0002-0093-0924
Sulaiman AlsalamehCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-3807-1870
Tariq MakhzoumCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0003-4237-2016
Alaa AlzhraniCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Khalid AlnajjarCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-2930-6893
Salma AdeebCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Noor Al EmanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Zara AhmedCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Ismail ShakirCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-8026-9549
Khaled Al-KattanCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0002-1372-9883
Ahmed YaqinuddinCollege of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0001-7536-910X
Alfaisal University · SAKing Faisal Specialist Hospital & Research Centre · SA

Funding

Alfaisal University IRG23312
6 · The paper itself

Abstract

Lung cancer is the most commonly diagnosed of all cancers and one of the leading causes of cancer deaths among men and women worldwide, causing 1.5 million deaths every year. Despite developments in cancer treatment technologies and new pharmaceutical products, high mortality and morbidity remain major challenges for researchers. More than 75% of lung cancer patients are diagnosed in advanced stages, leading to poor prognosis. Lung cancer is a multistep process associated with genetic and epigenetic abnormalities. Rapid, accurate, precise, and reliable detection of lung cancer biomarkers in biological fluids is essential for risk assessment for a given individual and mortality reduction. Traditional diagnostic tools are not sensitive enough to detect and diagnose lung cancer in the early stages. Therefore, the development of novel bioanalytical methods for early-stage screening and diagnosis is extremely important. Recently, biosensors have gained tremendous attention as an alternative to conventional methods because of their robustness, high sensitivity, inexpensiveness, and easy handling and deployment in point-of-care testing. This review provides an overview of the conventional methods currently used for lung cancer screening, classification, diagnosis, and prognosis, providing updates on research and developments in biosensor technology for the detection of lung cancer biomarkers in biological samples. Finally, it comments on recent advances and potential future challenges in the field of biosensors in the context of lung cancer diagnosis and point-of-care applications.

Indexed as

aptasensorsbiosensorsDNA methylationlung cancerlung cancer biomarkersmicroRNApoint of care testingself-health monitoring

Identifiers

PMID37444523
PMCPMC10341261
OpenAlexW4382788285

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.