Evidence map›Paper›PMID 35158863›Full record

ArticleCancers2022

Identification and Characterization of Immunogene-Related Alternative Splicing Patterns and Tumor Microenvironment Infiltration Patterns in Breast Cancer.

Shuang Guo, Xinyue Wang, Hanxiao Zhou, Yue Gao, Peng Wang, Hui Zhi, Yue Sun, Yangyang Hao, Jing Gan, Yakun Zhang and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

15 authors at 1 institution in 1 country.

Shuang GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xinyue WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hanxiao ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yangyang HaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jing GanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yakun ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Wen ZhengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiaoxi ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-4079-8945
Harbin Medical University · CN

Funding

National Natural Science Foundation of China 32070672
6 · The paper itself

Abstract

Alternative splicing (AS) plays a crucial role in tumor development and tumor microenvironment (TME) formation. However, our current knowledge about AS, especially immunogene-related alternative splicing (IGAS) patterns in cancers, remains limited. Herein, we identified and characterized post-transcriptional mechanisms of breast cancer based on IGAS, TME, prognosis, and immuno/chemotherapy. We screened the differentially spliced IGAS events and constructed the IGAS prognostic model (

Indexed as

breast cancerimmuno/chemotherapyimmunogene-related alternative splicingprognosis signaturestumor microenvironment

Identifiers

PMID35158863
PMCPMC8833331
OpenAlexW4210578612

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.