Evidence map›Paper›PMID 35047378›Full record

ArticleFrontiers in oncology2021

Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer.

Yingrong Shi, Si Chen, Huijuan Xing, Guanglie Jiang, Nan Wu, Qiannan Liu, Norihiro Sakamoto, Takayoshi Kuno, Reiko Sugiura, Qinghuan Xiao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  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

13 authors at 4 institutions in 2 countries.

Yingrong ShiDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Si ChenDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Huijuan XingDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Guanglie JiangDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Nan WuDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Qiannan LiuDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Norihiro SakamotoDivision of Food and Drug Evaluation Science, Kobe University Graduate School of Medicine, Kobe, Japan.
Takayoshi KunoDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Reiko SugiuraLaboratory of Molecular Pharmacogenomics, School of Pharmaceutical Sciences, Kinki University, Higashi-Osaka, Japan.
Qinghuan XiaoDepartment of Ion Channel Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Feng JinDepartment of Breast Surgery and Surgical Oncology, Research Unit of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Yue FangDepartment of Microbial and Biochemical Pharmacy, School of Pharmacy, China Medical University, Shenyang, China.
Fan YaoDepartment of Breast Surgery and Surgical Oncology, Research Unit of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
China Medical University · CNFirst Hospital of China Medical University · CNKindai University · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies reveal that tumor microenvironment contributes to breast cancer (BRCA) development, progression, and therapeutic response. However, the contribution of the tumor microenvironment-related genes in routine diagnostic testing or therapeutic decision making for BRCA remains elusive. Immune/stromal/ESTIMATE scores calculated by the ESTIMATE algorithm quantify immune and stromal components in a tumor, and thus can reflect tumor microenvironment. To investigate the association of the tumor microenvironment-related genes with invasive BRCA prognosis, here we analyzed the immune/stromal/ESTIMATE scores in combination with The Cancer Genome Atlas (TCGA) database in invasive BRCA. We found that immune/stromal/ESTIMATE scores were significantly correlated with the invasive BRCA clinicopathological factors. Based on the immune/stromal/ESTIMATE scores, we extracted a series of differential expression genes (DEGs) related to the tumor microenvironment. Survival analysis was further performed to identify a list of high-frequency DEGs (HF-DEGs), which exhibited prognostic value in invasive BRCA. Importantly, consistent with the results of bioinformatics analysis, immunohistochemistry results showed that high SASH3 expression was associated with a good prognosis in invasive BRCA patients. Our findings suggest that the tumor microenvironment-related HF-DEGs identified in this study have prognostic values and may serve as potential biomarkers and therapeutic targets for invasive BRCA.

Indexed as

immune/stromal/ESTIMATE scoreinvasive breast cancerprognosisSASH3TCGA databasetumor microenvironment

Identifiers

PMID35047378
PMCPMC8761742
OpenAlexW4205168098

What Socratic 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 Socratic graph.