Evidence map›Paper›PMID 31933938›Full record

ArticleInternational journal of clinical and experimental pathology2019

Nuclear division cycle 80 complex is associated with malignancy and predicts poor survival of hepatocellular carcinoma.

Xiaowei Chen, Wenwen Li, Lushan Xiao, Li Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Xiaowei ChenHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, P. R. China.
Wenwen LiHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, P. R. China.
Lushan XiaoHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, P. R. China.
Li LiuHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University Guangzhou 510515, Guangdong, P. R. China.
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NDC80 (nuclear division cycle 80) complex takes part in chromosome segregation by forming an outer kinetochore and providing a platform for the interaction between chromosomes and microtubules, thus impacting the progression of mitosis and the cell cycle. The clinical significance of its components, NDC80, nuf2, spc24, and spc25, were widely explored in various malignancies respectively, yet seldom were they studied from the perspective of a complex. This paper explores the clinical importance of the NDC80 kinetochore complex components in terms of their expression level, prognostic value, and therapeutic potential in HCC (hepatocellular carcinoma) patients. With the data from several paired HCC samples from Nanfang Hospital, HCC patients from the TCGA database and other cases from GSE89377, we analyzed the expression levels of the NDC80 complex components, NDC80/nuf2/spc24/spc25, along with the survival data as well as other clinical features using statistical methods and GSEA. The study found that a high expression of NDC80 complex predicts poor survival, and these components have the potential to be used as therapeutic targets.

Indexed as

Hepatocellular carcinomanuclear division cycle 80 complexoverexpressionprognosis

Identifiers

PMID31933938
PMCPMC6947052
OpenAlexW3011941951

What Socratic holds

Textmetadata
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.