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Unlabelled: Dysbiosis of intratumoral fungal and bacterial communities is associated with poor prognosis in various cancers. However, the mycobiome characteristics in laryngeal squamous cell carcinoma (LSCC) and its correlation with recurrence have not yet been investigated. The mycobiome in 80 LSCC samples was characterized using internal transcribed spacer sequencing, encompassing both tumor tissues and their matched para-cancerous tissues. The intratumoral bacteriome was further identified using 16S rRNA sequencing. These two microbial communities were analyzed using bioinformatics and statistical methods to determine its potential correlation with LSCC recurrence. The fungal alpha diversity in tumors was higher compared with that in para-cancerous tissues ( < 0.001). A significant difference in the overall fungal community patterns between tumor tissues and para-cancerous tissues was observed based on Bray-Curtis dissimilarity ( < 0.001). The presence of , , , and in tumors exhibited a correlation with alcohol consumption. The relative abundance of , , and in the mycobiome, as well as that of , , and in the bacteriome significantly increased the risk of LSCC recurrence ( < 0.05). These six microorganisms can combine to form a , which may independently contribute to recurrence risk in patients with LSCC when enriched within the tumor (hazard ratio = 6.844, < 0.01). Intratumoral fungi and bacteria can be valuable indicators for assessing recurrence in patients with LSCC, indicating their potential as valuable targets for therapeutic intervention.
Importance: Our results revealed that dysbiosis of intratumoral microbiota, including increased fungal community diversity and overgrowth of several fungal or bacterial organisms, is substantially linked to the recurrence of LSCC. Drinking habits might alter the laryngeal microbiota to influence the recurrence of LSCC. We also explored a method to potentially predict the recurrence of LSCC from a novel perspective. These findings could offer insights into the etiology of LSCC and pave way to prevent and treat LSCC.
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http://dx.doi.org/10.1128/aem.01954-24 | DOI Listing |
Data Brief
October 2025
Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
This dataset focuses on N6-Methyladenosine (m6A) RNA methylation in papillary thyroid carcinoma (PTC) without autoimmune thyroid disease (AITD). Emerging evidence suggests that m6A modification was associated with the occurrence and progression of both thyroid carcinoma and AITD. Given the substantial clinical overlap between thyroid carcinoma (particularly PTC) and AITD, rigorous exclusion of autoimmune confounding factors is essential to isolate the distinct role of m6A modifications in driving thyroid carcinogenesis and progression.
View Article and Find Full Text PDFArch Endocrinol Metab
August 2025
Yangzhou University Institute of Translational Medicine Yangzhou University Medical College Yangzhou China Yangzhou University Medical College, Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Institute of Translational Medicine, Yangzhou University, Yangzhou, China.
Objective: Thyroid carcinoma (TC) is the most common cancer of the endocrine system. Dysregulation of microRNA-590-5p (miR-590-5p) has been associated with various malignancies. Targeting mitochondrial respiration is beneficial in treating TC.
View Article and Find Full Text PDFTransl Cancer Res
July 2025
Department of Nuclear Medicine, The Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Background: High expression has been previously observed in diverse tumor types. On this basis, the present work focused on exploring the effects of on pan-cancer occurrence and progression, as well as its potential functions and molecular regulatory mechanisms.
Methods: gene expression, protein expression, Tumor Node Metastasis (TNM) stage, and survival prognosis in thirty-three different tumors across thirty-three tumors were analyzed via The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, which included 9,664 cancer tissues and 711 normal tissues, with R software (version 3.
Oncol Lett
October 2025
Medical Animal Lab, Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266500, P.R. China.
Gastric cancer (GC) is one of the most common malignancies globally, with notable morbidity and mortality rates. Despite advances in surgical techniques and adjuvant therapies, recurrence and metastasis remain major challenges, highlighting the need for novel biomarkers and therapeutic targets. Long non-coding RNAs (lncRNAs) have emerged as key regulators in various types of cancer, including GC, which can influence tumor progression through diverse mechanisms.
View Article and Find Full Text PDFBraz J Otorhinolaryngol
June 2025
The first affiliated Hospital of Kunming Medical University, The Second Department of Otolaryngology, Head and Neck Surgery, Kunming, Yunnan, China. Electronic address:
Objective: This study aimed to construct a ceRNA network and identify potential diagnostic biomarkers for HSCC.
Methods: The R software was used to identify Differentially Expressed circular RNAs (DE-circRNAs) and mRNAs (DE-mRNAs) between HSCC and Normal Control (NC) specimens. Univariate Cox analysis and survival curves were used to identify biomarkers associated with the prognosis of HSCC.