Evidence map›Paper›PMID 37798795›Full record

ArticleBMC medical genomics2023

Comprehensive analysis of BTNL9 as a prognostic biomarker correlated with immune infiltrations in thyroid cancer.

Luyao Zhang, Shuang Yu, Shubin Hong, Xi Xiao, Zhihong Liao, Yanbing Li, Haipeng Xiao

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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, 4 citations in OpenAlex.

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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.

Luyao ZhangDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Shuang YuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Shubin HongDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Xi XiaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Zhihong LiaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Yanbing LiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
Haipeng XiaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China. xiaohp@mail.sysu.edu.cn.
The First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid cancer (THCA) is the most common type of endocrine cancers, and the disease recurrences were usually associated with the risks of metastasis and fatality. Butyrophilin-like protein 9 (BTNL9) is a member of the immunoglobulin families. This study investigated the prognostic role of BTNL9 in THCA.

methodsGene enhancers of BTNL9 were identified by interrogating H3K27ac ChIP-seq and RNA-seq data of papillary thyroid cancer (PTC) and benign thyroid nodule (BTN) tissues. Meanwhile, BTNL9 expression level was verified by qRT-PCR in 30 pairs of primary THCA and adjacent normal tissues. Clinicopathological and RNA sequencing data were obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) to analyze the relations between BTNL9 expression and immune cell infiltration, chemokines/cytokines, immune checkpoint genes, clinical parameters and prognosis values. Besides, survival analysis combining BTNL9 expression and immune cell infiltration scores was conducted. Functional enrichment analysis was performed to investigate the potential biological mechanisms. Cox regression analyses were used to explore independent clinical indicators, and a nomogram model incorporating BTNL9 expression with clinical parameters was established.

resultsBTNL9 showed significantly stronger H3K27ac modifications in BTN than PTC tissues at the promoter region (chr5: 181,035,673-181,047,436) and gene body (chr5: 181,051,544-181,054,849). The expression levels of BTNL9 were significantly down-regulated in THCA samples compared to normal tissues, and were strongly associated with different tumor stages, immune cell infiltrations, chemokines/cytokines and immune checkpoint genes in THCA. Functional enrichment analyses indicated that BTNL9 was involved in immune-related and cancer-related pathways. The Kaplan-Meier analysis showed lower BTNL9 expression was associated with poorer progression-free interval (PFI). BTNL9 expression and pathologic stages were independent prognostic indicators of PFI in THCA.

conclusionsThe results implied an important role of BTNL9 in the tumor progression, with the possibility of serving as a novel prognostic biomarker and a potential therapeutic target for THCA.

Indexed as

Neoplasm Recurrence, LocalThyroid NeoplasmsBiomarkersButyrophilinsChemokinesCytokinesHumansPrognosisBiomarkersBTNL9 protein, humanButyrophilinsChemokinesCytokinesBiomarkerBTNL9Immune infiltrationPrognosisThyroid cancer

Identifiers

PMID37798795
PMCPMC10552425
OpenAlexW4387374396

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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.