Evidence map›Paper›PMID 31611957›Full record

ArticleOncology letters2019

Distinct expression pattern and prognostic values of pituitary tumor transforming gene family genes in non-small cell lung cancer.

Shaolong Yang, Xiaodi Wang, Jingxing Liu, Bisha Ding, Kairi Shi, Jing Chen, Weiyang Lou

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. AreFrontiers in endocrinology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. The Oncogenic Roles ofDiagnostics (Basel, Switzerland) · 2020
    Article
  8. Article
  9. Article
  10. 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 at 4 institutions in 1 country.

Shaolong YangDepartment of Pathology, Zhengzhou Railway Vocational and Technical College, Zhengzhou, Henan 451460, P.R. China.
Xiaodi WangDepartment of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China.
Jingxing LiuDepartment of Intensive Care Unit, Changxing People's Hospital of Zhejiang, Huzhou, Zhejiang 313100, P.R. China.
Bisha DingDepartment of Surgery, Program of Innovative Cancer Therapeutics, Division of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, Key Laboratory of Combined Multi-Organ Transplantation, Ministry of Public Health, Key Laboratory of Organ Transplantation, Hangzhou, Zhejiang 310003, P.R. China.
Kairi ShiDepartment of Orthopedics and Traumatology, Traditional Chinese Medicine Hospital of Cixi, Ningbo, Zhejiang 315300, P.R. China.
Jing ChenDepartment of Oncology, First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314000, P.R. China.
Weiyang LouDepartment of Surgery, Program of Innovative Cancer Therapeutics, Division of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, College of Medicine, Zhejiang University, Key Laboratory of Combined Multi-Organ Transplantation, Ministry of Public Health, Key Laboratory of Organ Transplantation, Hangzhou, Zhejiang 310003, P.R. China.
Zhejiang University · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Jiaxing · CNZhengzhou Railway Vocational & Technical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Members of the pituitary tumor transforming gene (PTTG) family, including PTTG1, PTTG2 and PTTG3P, exhibit pivotal roles in the onset and progression of certain types of human cancer. However, to the best of our knowledge, a systematic study regarding the expression pattern and the prognostic values of PTTG family genes in non-small cell lung cancer (NSCLC) remains to be performed. The expression levels of PTTG family genes in NSCLC were successively determined using the Gene Expression Profiling Interactive Analysis, UALCAN and Oncomine databases. Subsequently, the Kaplan-Meier plotter database was used to assess the prognostic value of the PTTG family genes in patients with NSCLC, and to determine the associations between PTTG expression levels and the prognosis of patients based on different clinicopathological features, including cancer stage, grade, chemotherapy, radiotherapy, lymph node status, smoking history, and sex. PTTG1 was identified to be significantly upregulated in NSCLC in all three databases, whereas PTTG2 and PTTG3P were significantly upregulated in NSCLC in only the UALCAN database. Patients with NSCLC with higher expression levels of the three PTTG genes demonstrated shorter overall survival times. In summary, the results of the present study suggested that increased expression of PTTG family genes may serve as promising prognostic biomarkers for patients with NSCLC.

Indexed as

gene expression profiling interactive analysisin silico analysisKaplan-Meier plotternon-small cell lung cancerOncominepituitary tumor transforming geneprognosisUALCAN

Identifiers

PMID31611957
PMCPMC6781778
OpenAlexW2972967086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.