HAUS6 as a potential prognostic and immunological biomarker: validation from pan-cancer analysis to hepatocellular carcinoma

The HAUS augmin like complex subunit 6 (HAUS6) is associated with cytokinesis.HAUS6 has only been reported in a few cancers. To date, there are no published studies about the potential biological features and clinical meaning of HAUS6 in pan-cancer. We used TCGA, GTEx and UALCAN databases to explore HAUS6 expression and to analyze its associated prognosis in pan-cancer. Mutation, m6A and DNA methylation analyses were performed by databases of cBioPortal, MethSurv, UALCAN, and SRAMP. We identified genes interacting and associated with HAUS6 by GeneMania and GEPIA2, respectively. We used the ESTIMATE package, TISIDB, TIDE, and TIMSO to investigate the correlation between HAUS6 and immune infiltration and immunotherapy. We investigated the relationship of HAUS6 with tumor heterogeneity, stemness and drug sensitivity. In addition, we constructed a nomograph and performed differential analyses based on HAUS6 in HCC, and RT-qPCR and immunohistochemistry were performed to validate the expression in HCC and normal tissues. Finally, the proliferative, migratory and invasive capacities of HAUS6 in HCC were verified using CCK-8, colony formation, Transwell array and wound healing assays. After pan-cancer analysis, HAUS6 showed different expression levels in tumor tissues and normal tissues, and correlated with prognosis, indicating its potential as a diagnostic and prognostic biomarker. HAUS6 mutations were identified in 19 of 27 tumor types. Notably, HAUS6 expression was closely associated with m6A, DNA methylation, tumor heterogeneity, stemness, immune cell infiltration and immune checkpoints. Furthermore, HAUS6 showed significant predictive value for immunotherapy outcomes and was potentially associated with multiple drugs. In HCC, HAUS6 was identified as an independent risk factor; functional enrichment analyses highlighted that increased HAUS6 expression is related to the cell cycle and multiple cancer signaling pathways. Experimental validation shows that the mRNA (P = 0.028) and protein (P < 0.001) levels of HAUS6 in HCC tissues are highly consistent with the TCGA prediction trend. In vitro experiments further demonstrated that HAUS6 silencing inhibited HCC cell proliferation, migration and invasion. This study highlights the importance of HAUS6 in cancer biology. HAUS6 may be a biomarker for diagnosis and prediction of prognosis as well as a target for tumor immunotherapy.

Authors

Institutions

Publication Details

Journal
Cancer Cell International
Published
2025-11-24
DOI
https://doi.org/10.1186/s12935-025-04081-6
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HAUS6 as a potential prognostic and immunological biomarker: validation from pan-cancer analysis to hepatocellular carcinoma

Kai Peng, Xiwen Liao, Tao Peng, Wei Qin et al.
Cancer Cell International
RNA modifications and cancer
article

HAUS6 as a potential prognostic and immunological biomarker: validation from pan-cancer analysis to hepatocellular carcinoma

Kai Peng, Xiwen Liao, Tao Peng, Wei Qin, Shutian Mo, Chengkun Yang, Chenlu Lan, Haixiang Xie, Xin Hua Zhou, Yu Chen, Xianwei Lu, Zuyin Wan, Kejian Yang, Chongjiu Qin
article en

Abstract

The HAUS augmin like complex subunit 6 (HAUS6) is associated with cytokinesis.HAUS6 has only been reported in a few cancers. To date, there are no published studies about the potential biological features and clinical meaning of HAUS6 in pan-cancer. We used TCGA, GTEx and UALCAN databases to explore HAUS6 expression and to analyze its associated prognosis in pan-cancer. Mutation, m6A and DNA methylation analyses were performed by databases of cBioPortal, MethSurv, UALCAN, and SRAMP. We identified genes interacting and associated with HAUS6 by GeneMania and GEPIA2, respectively. We used the ESTIMATE package, TISIDB, TIDE, and TIMSO to investigate the correlation between HAUS6 and immune infiltration and immunotherapy. We investigated the relationship of HAUS6 with tumor heterogeneity, stemness and drug sensitivity. In addition, we constructed a nomograph and performed differential analyses based on HAUS6 in HCC, and RT-qPCR and immunohistochemistry were performed to validate the expression in HCC and normal tissues. Finally, the proliferative, migratory and invasive capacities of HAUS6 in HCC were verified using CCK-8, colony formation, Transwell array and wound healing assays. After pan-cancer analysis, HAUS6 showed different expression levels in tumor tissues and normal tissues, and correlated with prognosis, indicating its potential as a diagnostic and prognostic biomarker. HAUS6 mutations were identified in 19 of 27 tumor types. Notably, HAUS6 expression was closely associated with m6A, DNA methylation, tumor heterogeneity, stemness, immune cell infiltration and immune checkpoints. Furthermore, HAUS6 showed significant predictive value for immunotherapy outcomes and was potentially associated with multiple drugs. In HCC, HAUS6 was identified as an independent risk factor; functional enrichment analyses highlighted that increased HAUS6 expression is related to the cell cycle and multiple cancer signaling pathways. Experimental validation shows that the mRNA (P = 0.028) and protein (P < 0.001) levels of HAUS6 in HCC tissues are highly consistent with the TCGA prediction trend. In vitro experiments further demonstrated that HAUS6 silencing inhibited HCC cell proliferation, migration and invasion. This study highlights the importance of HAUS6 in cancer biology. HAUS6 may be a biomarker for diagnosis and prediction of prognosis as well as a target for tumor immunotherapy.

Cancer Cell InternationalVol. 25(1)
Guangxi University (CN), Guangxi Medical University (CN), The People's Hospital of Guangxi Zhuang Autonomous Region (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 67%
RNA modifications and cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.