Evidence map›Paper›PMID 35461372›Full record

ArticleScientific reports2022

Combining plasma extracellular vesicle Let-7b-5p, miR-184 and circulating miR-22-3p levels for NSCLC diagnosis and drug resistance prediction.

G P Vadla, B Daghat, N Patterson, V Ahmad, G Perez, A Garcia, Y Manjunath, J T Kaifi, G Li, C Y Chabu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

27 citing papers in PubMed, 1 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

G P VadlaDivision of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
B DaghatDivision of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
N PattersonDivision of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
V AhmadDivision of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
G Perez *Division of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
A Garcia *Division of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA.
Y ManjunathDepartment of Surgery, School of Medicine, University of Missouri, Columbia, MO, 65212, USA.
J T KaifiDepartment of Surgery, School of Medicine, University of Missouri, Columbia, MO, 65212, USA.
G LiDepartment of Surgery, School of Medicine, University of Missouri, Columbia, MO, 65212, USA.
C Y ChabuDivision of Biological Sciences, University of Missouri, Columbia, MO, 65211, USA. chabuc@missouri.edu.
University of Missouri · USWashington University in St. Louis · US

Funding

MOLECULAR BASIS OF GENE EXPRESSION AND SIGNAL PROCESSINGT32GM008396 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI HANNINK, MARK · 1991 to 2021
$4.1M
NIGMS NIH HHS T32 GM008396
6 · The paper itself

Abstract

Low-dose computed tomography (LDCT) Non-Small Cell Lung (NSCLC) screening is associated with high false-positive rates, leading to unnecessary expensive and invasive follow ups. There is a need for minimally invasive approaches to improve the accuracy of NSCLC diagnosis. In addition, NSCLC patients harboring sensitizing mutations in epidermal growth factor receptor EGFR (T790M, L578R) are treated with Osimertinib, a potent tyrosine kinase inhibitor (TKI). However, nearly all patients develop TKI resistance. The underlying mechanisms are not fully understood. Plasma extracellular vesicle (EV) and circulating microRNA (miRNA) have been proposed as biomarkers for cancer screening and to inform treatment decisions. However, the identification of highly sensitive and broadly predictive core miRNA signatures remains a challenge. Also, how these systemic and diverse miRNAs impact cancer drug response is not well understood. Using an integrative approach, we examined plasma EV and circulating miRNA isolated from NSCLC patients versus screening controls with a similar risk profile. We found that combining EV (Hsa-miR-184, Let-7b-5p) and circulating (Hsa-miR-22-3p) miRNAs abundance robustly discriminates between NSCLC patients and high-risk cancer-free controls. Further, we found that Hsa-miR-22-3p, Hsa-miR-184, and Let-7b-5p functionally converge on WNT/βcatenin and mTOR/AKT signaling axes, known cancer therapy resistance signals. Targeting Hsa-miR-22-3p and Hsa-miR-184 desensitized EGFR-mutated (T790M, L578R) NSCLC cells to Osimertinib. These findings suggest that the expression levels of circulating hsa-miR-22-3p combined with EV hsa-miR-184 and Let-7b-5p levels potentially define a core biomarker signature for improving the accuracy of NSCLC diagnosis. Importantly, these biomarkers have the potential to enable prospective identification of patients who are at risk of responding poorly to Osimertinib alone but likely to benefit from Osimertinib/AKT blockade combination treatments.

Indexed as

Circulating MicroRNAExtracellular VesiclesLung NeoplasmsMicroRNAsProto-Oncogene Proteins c-aktAcrylamidesAniline CompoundsBiomarkersDrug ResistanceErbB ReceptorsHumansIndolesLungMutationProspective StudiesProtein Kinase InhibitorsAcrylamidesAniline CompoundsBiomarkersCirculating MicroRNAErbB ReceptorsIndolesMicroRNAsMIRN184 microRNA, humanMIRN22 microRNA, humanmirnlet7 microRNA, humanosimertinibProtein Kinase InhibitorsProto-Oncogene Proteins c-aktPyrimidines

Identifiers

PMID35461372
PMCPMC9035169
OpenAlexW3217123239

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.