Evidence map›Paper›PMID 33173155›Full record

ArticleScientific reports2020

Comprehensive profiling of extracellular RNA in HPV-induced cancers using an improved pipeline for small RNA-seq analysis.

Fangjia Tong, Arlise Andress, Gongyu Tang, Ping Liu, Xiaowei Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. HPV-Related Cervical Cancer and Extracellular Vesicles.Diagnostics (Basel, Switzerland) · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Cervical Cancer, Papillomavirus, and miRNA Dysfunction.Frontiers in molecular biosciences · 2021
    Review
  18. Article
  19. 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

5 authors at 2 institutions in 1 country.

Fangjia TongDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Arlise AndressDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Gongyu TangDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Ping LiuDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Xiaowei WangDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA. xwang317@uic.edu.
Washington University in St. Louis · USUniversity of Illinois Chicago · US

Funding

COMBINED COMPUTATIONAL AND EXPERIMENTAL ANALYSES OF GENE REGULATION BY MICRORNAS.R01GM089784 · NIGMS · WASHINGTON UNIVERSITY · PI WANG, XIAOWEI · 2010 to 2019
$2.8M
MICRORNA BIOMARKERS FOR OROPHARYNGEAL CANCERR01DE026471 · NIDCR · WASHINGTON UNIVERSITY · PI WANG, XIAOWEI · 2017 to 2021
$2.2M
NIDCR NIH HHS R01 DE026471NIGMS NIH HHS R01 GM089784
6 · The paper itself

Abstract

Extracellular RNAs (exRNAs) have attracted great attention due to their essential role in cell-to-cell communication as well as their potential as non-invasive disease biomarkers. However, at present, there is no consensus on the best method to profile exRNA expression, which leads to significant variability across studies. To address this issue, we established an experimental pipeline for comprehensive profiling of small exRNAs isolated from cell culture. By evaluating six RNA extraction protocols, we developed an improved method for robust recovery of vesicle-bound exRNAs. With this method, we performed small RNA sequencing of exosomes (EXOs), microvesicles (MVs) and source cells from 14 cancer cell lines. Compared to cells, EXOs and MVs were similarly enriched in tRNAs and rRNAs, but depleted in snoRNAs. By miRNA profiling analysis, we identified a subset of miRNAs, most noticeably miR-122-5p, that were significantly over-represented in EXOs and MVs across all 14 cell lines. In addition, we also identified a subset of EXO miRNAs associated with cancer type or human papillomavirus (HPV) status, suggesting their potential roles in HPV-induced cancers. In summary, our work has laid a solid foundation for further standardization on exRNA analysis across various cellular systems.

Indexed as

AlphapapillomavirusCell Line, TumorExosomesExtracellular VesiclesGene Expression ProfilingHeLa CellsHumansMicroRNAsNeoplasmsOncogene Proteins, ViralPapillomavirus E7 ProteinsRNA, Small NucleolarRNA, Small UntranslatedRNA, TransferSequence Analysis, RNAMicroRNAsOncogene Proteins, ViralPapillomavirus E7 ProteinsRNA, Small NucleolarRNA, Small UntranslatedRNA, Transfer

Identifiers

PMID33173155
PMCPMC7655837
OpenAlexW3100589396

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.