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

Content Provider	Springer Nature : BioMed Central
Author	Zhang, Luyao Yu, Shuang Hong, Shubin Xiao, Xi Liao, Zhihong Li, Yanbing Xiao, Haipeng
Abstract	Background Thyroid 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. Methods Gene 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. Results BTNL9 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. Conclusions The 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.
Related Links	https://bmcmedgenomics.biomedcentral.com/counter/pdf/10.1186/s12920-023-01676-8.pdf
Ending Page	15
Page Count	15
Starting Page	1
File Format	HTM / HTML
ISSN	17558794
DOI	10.1186/s12920-023-01676-8
Journal	BMC Medical Genomics
Issue Number	1
Volume Number	16
Language	English
Publisher	BioMed Central
Publisher Date	2023-10-05
Access Restriction	Open
Subject Keyword	Human Genetics Microarrays Gene Expression BTNL9 Prognosis Immune infiltration Thyroid cancer Biomarker
Content Type	Text
Resource Type	Article
Subject	Genetics (clinical) Genetics
Journal Impact Factor	2.1/2023
5-Year Journal Impact Factor	2.5/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

CD44 is a prognostic biomarker and correlated with immune infiltrates in gastric cancer

Comprehensive analysis of the expression, prognostic, and immune infiltration for COL4s in stomach adenocarcinoma

Comprehensive pan-cancer analysis on CBX3 as a prognostic and immunological biomarker

Systematic pan-cancer analysis identifies SLC31A1 as a biomarker in multiple tumor types

COL5A2 is a prognostic-related biomarker and correlated with immune infiltrates in gastric cancer based on transcriptomics and single-cell RNA sequencing

Identification of CD161 expression as a novel prognostic biomarker in breast cancer correlated with immune infiltration

CC chemokine receptors are prognostic indicators of gastric cancer and are associated with immune infiltration

Comprehensive Analysis to Identify SPP1 as a Prognostic Biomarker in Cervical Cancer

AVPR2 is a potential prognostic biomarker and correlated with immune infiltration in head and neck squamous cell carcinoma

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

Similar Documents

CD44 is a prognostic biomarker and correlated with immune infiltrates in gastric cancer

Comprehensive analysis of the expression, prognostic, and immune infiltration for COL4s in stomach adenocarcinoma

Comprehensive pan-cancer analysis on CBX3 as a prognostic and immunological biomarker

Systematic pan-cancer analysis identifies SLC31A1 as a biomarker in multiple tumor types

COL5A2 is a prognostic-related biomarker and correlated with immune infiltrates in gastric cancer based on transcriptomics and single-cell RNA sequencing

Identification of CD161 expression as a novel prognostic biomarker in breast cancer correlated with immune infiltration

CC chemokine receptors are prognostic indicators of gastric cancer and are associated with immune infiltration

Comprehensive Analysis to Identify SPP1 as a Prognostic Biomarker in Cervical Cancer

AVPR2 is a potential prognostic biomarker and correlated with immune infiltration in head and neck squamous cell carcinoma

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