Evidence map›Paper›PMID 33704735›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Assessment of Cell-Free microRNA by NGS Whole-Transcriptome Analysis in Cutaneous Melanoma Patients' Blood.

Kevin D Tran, Rebecca Gross, Negin Rahimzadeh, Shanthy Chenathukattil, Dave S B Hoon, Matias A Bustos

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Kevin D TranDepartment of Genomic Sequencing Center, John Wayne Cancer Institute (JWCI) at Providence Saint John's Health Center, Santa Monica, CA, USA.
Rebecca GrossDepartment of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA.
Negin RahimzadehDepartment of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA.
Shanthy ChenathukattilDepartment of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA.
Dave S B HoonDepartment of Genomic Sequencing Center, John Wayne Cancer Institute (JWCI) at Providence Saint John's Health Center, Santa Monica, CA, USA.
Matias A BustosDepartment of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA. bustosm@jwci.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRs) are small RNA molecules (18-22 nucleotides) that regulate the transcriptome at a post-transcriptional level by affecting the expression of specific genes. This regulatory mechanism is critical to maintain cell homeostasis and specific functions. Aberrant expression of miRs have been associated with pathobiological processes including cancer. There are few technologies available that are able to profile whole-genome miR expression using minimal amounts of blood samples and without the need for time-consuming extraction steps. Here, we describe the HTG EdgeSeq miR Whole-Transcriptome Assay (WTA) in serum and plasma samples. To identify specific cell-free miR (cfmiR) patterns we have first focused on the analysis of normal donor samples and have then compared these to patients with cutaneous melanoma. The identification of specific cfmiR for melanoma patients will allow for better patient surveillance during targeted and/or checkpoint inhibitor immunotherapy (CII) treatment.

Indexed as

Gene Expression ProfilingTranscriptomeCirculating MicroRNACutaneous Malignant MelanomaHumansMelanomaRNA, NeoplasmSkin NeoplasmsCirculating MicroRNARNA, NeoplasmMetastatic melanomamiRNAmiR Whole Transcriptome AssayPlasmaSerum

Identifiers

PMID33704735

What OpenQuestion holds

Textmetadata
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.