Evidence map›Paper›PMID 37398880›Full record

ArticleWorld journal of gastroenterology2023

High expression of the circadian clock gene NPAS2 is associated with progression and poor prognosis of gastric cancer: A single-center study.

Xiao-Meng Cao, Wen-Di Kang, Tian-Hong Xia, Shao-Bin Yuan, Chang-An Guo, Wen-Jie Wang, Hong-Bin Liu

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2023. 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
2.3field-weighted citation impact, top 11% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Xiao-Meng CaoDepartment of General Surgery, Gansu Provincial Hospital of TCM, Lanzhou 730050, Gansu Province, China.
Wen-Di KangDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Tian-Hong XiaClinical Medicine College, Ningxia Medical University, Clinical Medicine college, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China.
Shao-Bin YuanThe First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730030, Gansu Province, China.
Chang-An GuoDepartment of Emergency, Lanzhou University Second Hospital, Lanzhou 730030, Gansu Province, China.
Wen-Jie WangDepartment of General Surgery, Lanzhou University Second Hospital, Lanzhou 730030, Gansu Province, China.
Hong-Bin LiuDepartment of General Surgery, The 940 Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, Gansu Province, China. 1554153823@qq.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNLanzhou University Second Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic assessment of patients after surgical resection of gastric cancer (GC) patients is critical. However, the role of the circadian clock gene NPAS2 expression in GC remains unknown.

aimTo explore the relationship between NPAS2 and the survival prognosis of GC patients and clarify its role in evaluating GC prognosis.

methodsThe tumor tissues and clinical data of 101 patients with GC were collected retrospectively. Immunohistochemical staining (IHC) was used to detect the expression of NPAS2 protein in GC and adjacent tissues. Univariate and multivariate Cox regression analysis was used to determine the independent prognostic factors of GC, and a nomogram prediction model was established. The receiver operating characteristic (ROC) curve, the ROC area under the curve, the calibration curve, and C-index were used to evaluate the predictive effectiveness of the model. Kaplan Meier analysis was used to compare the risk stratification of subgroups according to the median score in the nomogram model of each patient.

resultsMicroarray IHC analysis showed that the positive rate of NPAS2 protein expression in GC tissues was 65.35%, which was significantly higher than 30.69% in adjacent tissues. The high expression of NPAS2 was correlated with tumor-node-metastasis (TNM) stage (

conclusionNPAS2 is highly expressed in GC tissues and is closely related to worse OS in patients. Therefore, the evaluation of NPAS2 expression may be a potential marker for GC prognosis evaluation. Notably, the nomogram model based on NPAS2 can improve the accuracy of GC prognosis prediction and assist clinicians in postoperative patient management and decision-making.

Indexed as

Circadian ClocksStomach NeoplasmsBasic Helix-Loop-Helix ProteinsHumansLymphatic MetastasisNerve Tissue ProteinsPrognosisRetrospective StudiesBasic Helix-Loop-Helix ProteinsNerve Tissue ProteinsNPAS2 protein, humanGastric cancerNomogramNPAS2Prediction modelSurvival analysisTissue microarray

Identifiers

PMID37398880
PMCPMC10311614
OpenAlexW4380768782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.