Evidence map›Paper›PMID 30498360›Full record

ArticleOncoTargets and therapy2018

The expression level and prognostic value of HIPK3 among non-small-cell lung cancer patients in China.

Yifei Liu, Li Qian, Juanjuan Yang, Hua Huang, Jia Feng, Xiaoli Li, Tingting Bian, Honggang Ke, Jian Liu, Jianguo Zhang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Circular RNA-0001283 Suppresses Breast Cancer Proliferation and Invasion via MiR-187/HIPK3 Axis.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  9. Review
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

10 authors at 1 institution in 1 country.

Yifei LiuDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Li QianDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Juanjuan YangDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Hua HuangDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Jia FengDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Xiaoli LiDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Tingting BianDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Honggang KeDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Jian LiuDepartment of Chemotherapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, niuniu68915@sina.com.
Jianguo ZhangDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China, jgz_edu@163.com.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is one of the most common malignancies in the world and is at the forefront of causes of all cancer deaths. Identification of new prognostic predictors or therapeutic targets might improve a patient's survival rate. PURPOSE: The Homeodomain interacting protein kinases (HIPKs) function as modulators of cellular stress responses and regulate cell differentiation, proliferation and apoptosis, but the function of HIPK3 is remain unknown. PATIENTS AND

methodsWe used quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting methods to detective the expression of HIPK3. A total of 206 samples were obtained from patients and Immunochemical evaluation to determine HIPK3 protein expression. HIPK3 protein levels in in non-small cell lung cancer (NSCLC) were correlated with the clinical characteristics of patients and their 5-year survival rate. In addition, HIPK3 knockdown by specific RNAi promoted cell proliferation, migration, and invasion in A549 and HCC827 cancer cell lines.

resultsThe quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting methods to demonstrate that HIPK3 expression was significantly down-regulated in non-small cell lung cancer (NSCLC) tissues compared with that in normal lung tissues. At the same time, the results of immunohistochemistry assays showed that low expression of HIPK3 was significantly associated with pathology grade; tumor, node, and metastases (TNM) stage; lymph node metastasis; Ki-67 expression; and the 5-year survival rate in NSCLC patients. Univariate analysis revealed that HIPK3 expression, Ki-67 expression, tumor diameter, TNM stage, and age were significantly associated with a poor prognosis. The multivariable analysis illustrated that HIPK3, tumor diameter, TNM, Ki-67 expression, and age had effects on the overall survival of NSCLC patients independently. Kaplan-Meier survival curves revealed that NSCLC patients with a lower HIPK3 expression had a poorer prognosis. In addition, in vivo results also confirmed that HIPK3 over-expression could inhibit tumor growth.

conclusionOur findings confirmed that low expression of HIPK3 in NSCLC tissues was significantly correlated with poor survival rates after curative resection. HIPK3 could potentially be used as a valuable biomarker in the prognosis of the survival of NSCLC patients.

Indexed as

biomarkerHIPK3immunohistochemistrynon-small-cell lung cancerprognosistumor suppressor gene

Identifiers

PMID30498360
PMCPMC6207246
OpenAlexW2898596755

What OpenQuestion holds

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LicenceCC BY-NC
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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.