Evidence map›Paper›PMID 38845990›Full record

ArticleHeliyon2024

Identification of PANoptosis-related genes as prognostic indicators of thyroid cancer.

Diya Xie, Liyong Huang, Cheng Li, Ruozhen Wu, Zhigang Zheng, Fengmin Liu, Huayong Cheng

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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.

Diya XieDepartment of General Surgery, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.
Liyong HuangDepartment of General Surgery, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.
Cheng LiDepartment of General Surgery, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.
Ruozhen WuDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China.
Zhigang ZhengDepartment of General Surgery, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.
Fengmin LiuDepartment of Endocrinology, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.
Huayong ChengDepartment of General Surgery, First General Hospital of Fuzhou Affiliated of Fujian Medical University, Fuzhou, Fujian Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroid cancer (THCA) has become a common malignancy in recent years, with the mortality rate steadily increasing. PANoptosis is a unique kind of programmed cell death (PCD), including pyroptosis, necroptosis, and apoptosis, and is involved in the proliferation and prognosis of numerous cancers. This paper demonstrated the connection between PANoptosis-related genes and THCA based on the analyses of Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, which have not been evaluated yet. Methods: We identified PANoptosis-related differentially expressed genes (PRDEGs) by multi-analyzing the TCGA-THCA and GEO datasets. To identify the significant PRDEGs, a prognostic model was constructed using least absolute shrinkage and selection operator regression (LASSO). The predictive values of the significant PRDEGs for THCA outcomes were determined using Cox regression analysis and nomograms. Gene enrichment analyses were performed. Finally, immunohistochemistry was carried out using the human protein atlas. Results: A LASSO regression model based on nine PRDEGs was constructed, and the prognostic value of key PRDEGs was explored via risk score. Univariate and multivariate Cox regression were implemented to identify further three significant PRDEGs closely related to distant metastasis, lymph node metastasis, and tumor stage. Then, a nomogram was constructed, which presented high predictive accuracy for 5 years survival of THCA patients. Gene enrichment analyses in THCA were strongly associated with PCD pathways. CASP6 presented significantly differential expression during clinical T stage, N stage, and PFI events (P < 0.05 for all) and demonstrated the highest degree of diagnostic efficacy in PRDEGs (HR: 2.060, 95 % CI: 1.170-3.628, P < 0.05). Immunohistochemistry showed CASP6 was more abundant in THCA tumor tissue. Conclusion: A potential prognostic role for PRDEGs in THCA was identified, providing a new direction for treatment. CASP6 may be a potential therapeutic target and a novel prognostic biomarker for THCA.

Indexed as

GEOLASSO-Cox regressionPANoptosis-related genesPrognosisTCGAThyroid cancer

Identifiers

PMID38845990
PMCPMC11153176

What Socratic 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 Socratic graph.