Evidence map›Paper›PMID 30881377›Full record

ArticleFrontiers in genetics2019

Pan-Cancer Analysis of TCGA Data Revealed Promising Reference Genes for qPCR Normalization.

George S Krasnov, Anna V Kudryavtseva, Anastasiya V Snezhkina, Valentina A Lakunina, Artemy D Beniaminov, Nataliya V Melnikova, Alexey A Dmitriev

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020
    Pooled it
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  6. Prognostic and predictive impact of NOTCH1 in early breast cancer.Breast cancer research and treatment · 2025
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  8. Techniques for assessing telomere length: A methodological review.Computational and structural biotechnology journal · 2024
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  12. Article
  13. Article
  14. GAPDH: A common housekeeping gene with an oncogenic role in pan-cancer.Computational and structural biotechnology journal · 2023
    Article
  15. Article
  16. International journal of molecular sciences · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors.

George S KrasnovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anna V KudryavtsevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anastasiya V SnezhkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Valentina A LakuninaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Artemy D BeniaminovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Nataliya V MelnikovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Alexey A DmitrievEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative PCR (qPCR) remains the most widely used technique for gene expression evaluation. Obtaining reliable data using this method requires reference genes (RGs) with stable mRNA level under experimental conditions. This issue is especially crucial in cancer studies because each tumor has a unique molecular portrait. The Cancer Genome Atlas (TCGA) project provides RNA-Seq data for thousands of samples corresponding to dozens of cancers and presents the basis for assessment of the suitability of genes as reference ones for qPCR data normalization. Using TCGA RNA-Seq data and previously developed CrossHub tool, we evaluated mRNA level of 32 traditionally used RGs in 12 cancer types, including those of lung, breast, prostate, kidney, and colon. We developed an 11-component scoring system for the assessment of gene expression stability. Among the 32 genes,

Indexed as

cancerCrossHubdata normalizationgene expressionquantitative PCRreference genesRNA-SeqTCGA

Identifiers

PMID30881377
PMCPMC6406071

What OpenQuestion holds

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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.