Evidence map›Paper›PMID 29285045›Full record

ArticleJournal of breast cancer2017

Optimization of RNA Extraction from Formalin-Fixed Paraffin-Embedded Blocks for Targeted Next-Generation Sequencing.

Yoojin Choi, Aeree Kim, Jinkyoung Kim, Jinhwan Lee, Soo Yeon Lee, Chungyeul Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

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  13. Guidelines for clinical practice ofJournal of the National Cancer Center · 2021
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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

6 authors at 1 institution in 1 country.

Yoojin ChoiDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Aeree KimDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Jinkyoung KimDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Jinhwan LeeDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Soo Yeon LeeDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Chungyeul KimDepartment of Pathology, Korea University Guro Hospital, Seoul, Korea.
Korea University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer has a high prevalence in Korea. To achieve personalized therapy for breast cancer, long-term follow-up specimens are needed for next-generation sequencing (NGS) and multigene analysis. Formalin-fixed paraffin-embedded (FFPE) samples are easier to store than fresh frozen (FF) samples. The objective of this study was to optimize RNA extraction from FFPE blocks for NGS.

methodsRNA quality from FF and FFPE tissues (n=5), expected RNA amount per unit area, the relationship between archiving time and quantity/quality of FFPE-extracted RNA (n=14), differences in quantitative real-time polymerase chain reaction (qRT-PCR) and NGS results, and comparisons of both techniques with tissue processing at different institutions (n=96) were determined in this study.

resultsThe quality of RNA did not show any statistically significant difference between paired FF and FFPE specimens (

conclusionArchived FFPE tissues can be used to extract RNA for NGS if they are properly processed before fixation. The expected amount of RNA per unit size calculated in this study will be useful for other researchers.

Indexed as

Breast neoplasmsEstrogensReceptorsRNASequence analysis

Identifiers

PMID29285045
PMCPMC5744000
OpenAlexW2777017684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.