Evidence map›Paper›PMID 36158687›Full record

ArticleFrontiers in oncology2022

Clinical significance and prognostic value of small nucleolar RNA SNORA38 in breast cancer.

Jian Song, Ang Zheng, Shan Li, Wenrong Zhang, Meilin Zhang, Xingzhe Li, Feng Jin, Ziyao Ji

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. SnoRNAs: The promising targets for anti-tumor therapy.Journal of pharmaceutical analysis · 2024
    Review
  7. Article
  8. 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

8 authors.

Jian SongDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Ang ZhengDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Shan LiDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Wenrong ZhangDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Meilin ZhangDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Xingzhe LiDepartment of Ultrasound, The First Hospital of China Medical University, Shenyang, China.
Feng JinDepartment of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
Ziyao JiDepartment of Ultrasound, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the most common malignant tumor among women worldwide, and breast cancer stem cells (BCSCs) are believed to be the source of tumorigenesis. New findings suggest that small nucleolar RNAs (snoRNAs) play a significant role in tumor development. Methods: The Cancer Genome Atlas (TCGA) and Kaplan-Meier survival analysis were used to demonstrate expression and survival of SNORA38 signature. Results: In the public database and patients' biopsies, SNORA38 was significantly up-regulated in breast cancer. Furthermore, the expression of SNORA38 was significantly correlated with tumor size, lymph node metastasis, and TNM stage, among which tumor size was an independent factor for SNORA38 expression. Higher SNORA38 expression was associated with shorter overall survival (OS). Meanwhile, SNORA38 was positively associated with the stem cell marker OCT-4, which suggested that SNORA38 might be related to breast cancer stemness. Conclusions: SNORA38 is an important carcinogenic snoRNA in breast cancer and might be a prognostic biomarker for breast cancer.

Indexed as

breast cancerclinical implicationprognosisSNORA38stemness

Identifiers

PMID36158687
PMCPMC9500313

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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.