Evidence map›Paper›PMID 35348687›Full record

ArticleJapanese journal of clinical oncology2022

High expression of HHLA2 predicts poor prognosis in medullary thyroid carcinoma.

Yongzhi Niu, Wei Wang, Xiaodan Jiang, Yichuan Huang, Shu Yan, Yan Jiang

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Japanese journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Prognostic Value of HHLA2 in Patients with Solid Tumors: A Meta-Analysis.International journal of molecular sciences · 2024
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yongzhi NiuDepartment of Otolaryngology-Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.ORCID 0000-0003-1492-0695
Wei WangDepartment of Pathology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xiaodan JiangDepartment of Otolaryngology-Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Yichuan HuangDepartment of Otolaryngology-Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Shu YanDepartment of Otolaryngology-Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Yan JiangDepartment of Otolaryngology-Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Qingdao University · CN

Funding

Qingdao University
6 · The paper itself

Abstract

backgroundHuman endogenous retrovirus-H long terminal repeat-associating protein 2 is a newly identified immune checkpoint molecule that was aberrantly expressed in many malignant tumors. However, its expression in medullary thyroid carcinoma is still unclear. This study aimed to investigate the human endogenous retrovirus-H long terminal repeat-associating protein 2 expression in medullary thyroid carcinoma tissues and to evaluate the relationships between its expression and clinicopathologic together with prognostic relevance.

methodsUsing 51 surgical specimens obtained from medullary thyroid carcinoma patients, the expression levels of the human endogenous retrovirus-H long terminal repeat-associating protein 2 protein in medullary thyroid carcinoma tumor tissues and adjacent noncancerous tissues were measured by immunohistochemistry, and its correlations with clinicopathologic and prognostic features were analyzed. Status of CD8+ tumor infiltrating lymphocytes was also investigated.

resultsThe results showed that human endogenous retrovirus-H long terminal repeat-associating protein 2 was only detected in tumor tissues, and 31.4% of the medullary thyroid carcinoma patients had high expression of human endogenous retrovirus-H long terminal repeat-associating protein 2. High human endogenous retrovirus-H long terminal repeat-associating protein 2 expression was significantly associated with lymph node metastasis and advanced American Joint Committee on Cancer stages (P = 0.005). There existed an inverse trend between human endogenous retrovirus-H long terminal repeat-associating protein 2 expression and CD8+ tumor infiltrating lymphocytes infiltration in medullary thyroid carcinoma tumor samples (P = 0.042). The log-rank test showed a shorter disease-free survival in patients with high human endogenous retrovirus-H long terminal repeat-associating protein 2 expression (P = 0.002). The disease-free survival rates were also significantly low in cases of medullary thyroid carcinoma with lymph node metastasis, American Joint Committee on Cancer stages III-IV and multifocality. Multivariate Cox analysis confirmed that human endogenous retrovirus-H long terminal repeat-associating protein 2 acted as an independent predictive factor in the disease-free survival of medullary thyroid carcinoma patients (hazard ratio = 4.138, 95% confidence interval: 1.027-16.667, P = 0.046).

conclusionsTaken together, human endogenous retrovirus-H long terminal repeat-associating protein 2 is highly expressed in medullary thyroid carcinoma patients and is a poor prognostic biomarker of disease-free survival of medullary thyroid carcinoma patients.

Indexed as

Carcinoma, NeuroendocrineThyroid NeoplasmsHumansImmunoglobulinsLymphatic MetastasisPrognosisHHLA2 protein, humanImmunoglobulinsbiomarkerHHLA2medullary thyroid carcinomaprognosis

Identifiers

PMID35348687
OpenAlexW4220718567

What OpenQuestion 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 OpenQuestion graph.