Evidence map›Paper›PMID 37528139›Full record

ArticleScientific reports2023

Electrical detection of RNA cancer biomarkers at the single-molecule level.

Keshani G Gunasinghe Pattiya Arachchillage, Subrata Chandra, Ajoke Williams, Patrick Piscitelli, Jennifer Pham, Aderlyn Castillo, Lily Florence, Srijith Rangan, Juan M Artes Vivancos

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Keshani G Gunasinghe Pattiya ArachchillageDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Subrata ChandraDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Ajoke WilliamsDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Patrick PiscitelliDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Jennifer PhamDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Aderlyn CastilloDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Lily FlorenceDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Srijith RanganDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Juan M Artes VivancosDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, 01854, USA. juan_artesvivancos@uml.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a significant healthcare issue, and early screening methods based on biomarker analysis in liquid biopsies are promising avenues to reduce mortality rates. Electrical detection of nucleic acids at the single molecule level could enable these applications. We examine the electrical detection of RNA cancer biomarkers (KRAS mutants G12C and G12V) as a single-molecule proof-of-concept electrical biosensor for cancer screening applications. We show that the electrical conductance is highly sensitive to the sequence, allowing discrimination of the mutants from a wild-type KRAS sequence differing in just one base. In addition to this high specificity, our results also show that these biosensors are sensitive down to an individual molecule with a high signal-to-noise ratio. These results pave the way for future miniaturized single-molecule electrical biosensors that could be groundbreaking for cancer screening and other applications.

Indexed as

Biosensing TechniquesNeoplasmsNucleic AcidsBiomarkersBiomarkers, TumorHumansProto-Oncogene Proteins p21(ras)RNABiomarkersBiomarkers, TumorNucleic AcidsProto-Oncogene Proteins p21(ras)RNA

Identifiers

PMID37528139
PMCPMC10393997

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Registered trials

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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.