Evidence map›Paper›PMID 35281830›Full record

ArticleFrontiers in genetics2022

A Comprehensive Pan-Cancer Analysis for Pituitary Tumor-Transforming Gene 1.

Siming Gong, Changwu Wu, Yingjuan Duan, Juyu Tang, Panfeng Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Siming GongDepartment of Orthopaedics, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China.
Changwu WuInstitute of Anatomy, University of Leipzig, Leipzig, Germany.
Yingjuan DuanFaculty of Chemistry and Mineralogy, University of Leipzig, Leipzig, Germany.
Juyu TangDepartment of Orthopaedics, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China.
Panfeng WuDepartment of Orthopaedics, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNLeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary tumor-transforming gene 1 (PTTG1) encodes a multifunctional protein that is involved in many cellular processes. However, the potential role of PTTG1 in tumor formation and its prognostic function in human pan-cancer is still unknown. The analysis of gene alteration, PTTG1 expression, prognostic function, and PTTG1-related immune analysis in 33 types of tumors was performed based on various databases such as The Cancer Genome Atlas database, the Genotype-Tissue Expression database, and the Human Protein Atlas database. Additionally, PTTG1-related gene enrichment analysis was performed to investigate the potential relationship and possible molecular mechanisms between PTTG1 and tumors. Overexpression of PTTG1 may lead to tumor formation and poor prognosis in various tumors. Consequently, PTTG1 acts as a potential oncogene in most tumors. Additionally, PTTG1 is related to immune infiltration, immune checkpoints, tumor mutational burden, and microsatellite instability. Thus, PTTG1 could be potential biomarker for both prognosis and outcomes of tumor treatment and it could also be a promising target in tumor therapy.

Indexed as

big dataenrichment analysisimmune infiltrationpan-cancer analysisprognosisPTTG1

Identifiers

PMID35281830
PMCPMC8916819
OpenAlexW4214701296

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.