Evidence map›Paper›PMID 36979608›Full record

ReviewBiosensors2023

Surface Plasmon Resonance (SPR) Sensor for Cancer Biomarker Detection.

Sreyashi Das, Ram Devireddy, Manas Ranjan Gartia

Full text readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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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

3 authors.

Sreyashi DasDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0002-2675-5714
Ram DevireddyDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0002-1169-1519
Manas Ranjan GartiaDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0001-6243-6780

Funding

National Science Foundation 2045640
6 · The paper itself

Abstract

A biomarker is a physiological observable marker that acts as a stand-in and, in the best-case scenario, forecasts a clinically significant outcome. Diagnostic biomarkers are more convenient and cost-effective than directly measuring the ultimate clinical outcome. Cancer is among the most prominent global health problems and a major cause of morbidity and death globally. Therefore, cancer biomarker assays that are trustworthy, consistent, precise, and verified are desperately needed. Biomarker-based tumor detection holds a lot of promise for improving disease knowledge at the molecular scale and early detection and surveillance. In contrast to conventional approaches, surface plasmon resonance (SPR) allows for the quick and less invasive screening of a variety of circulating indicators, such as circulating tumor DNA (ctDNA), microRNA (miRNA), circulating tumor cells (CTCs), lipids, and proteins. With several advantages, the SPR technique is a particularly beneficial choice for the point-of-care identification of biomarkers. As a result, it enables the timely detection of tumor markers, which could be used to track cancer development and suppress the relapse of malignant tumors. This review emphasizes advancements in SPR biosensing technologies for cancer detection.

Indexed as

Biosensing TechniquesMicroRNAsNeoplastic Cells, CirculatingBiomarkers, TumorHumansSurface Plasmon ResonanceBiomarkers, TumorMicroRNAsbiomarkerbiosensorcancerliquid biopsysurface plasmon resonance

Identifiers

PMID36979608
PMCPMC10046379

What OpenQuestion holds

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reference markers read1
measurements read25
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.