HLHong-Hua Liang

Hong-Hua Liang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Hong-Hua Liang has a total of 23 co-authors. Here are the top co-authors by number of shared publications:

  • Jianbin Cao

    Department of Thoracic Surgery, Liuzhou People’s Hospital affiliated to Guangxi Medical University, Liuzhou, Guangxi, China

    2 shared publications
  • Ting Zhuo

    Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China

    2 shared publications
  • Feng-Ling Zang

    Department of Thoracic Surgery, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, People’s Republic of China

    1 shared publication
  • Fengchang Li

    Department of Thoracic Surgery, Liuzhou People’s Hospital affiliated to Guangxi Medical University, Liuzhou, Guangxi, China

    1 shared publication
  • Fu-Li Li

    Department of Thoracic Surgery, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, People’s Republic of China

    1 shared publication
  • Jia-Yi Li

    Department of Nephrology, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, People’s Republic of China

    1 shared publication

Latest Publications

  • Open Access

    Comprehensive analysis of phosducin-like 3 as a diagnostic, prognostic and immunological marker in pan-cancer

    by Zihao Li, Jiayi Li, Fengchang Li, Honghua Liang, Zuotao Wu, Yongjie Zhu, Jusen Nong, Ting Zhuo, Peng Luo, Lingyun He, et al.

    Background: Phosducin-like 3 (PDCL3), a member of the photoreceptor family, is involved in angiogenesis and apoptosis. However, there is no pan-cancer analysis, and few studies have explored the effect of PDCL3 on tumor immune infiltration.Method: Public datasets were used to explore the diagnostic and prognostic value of PDCL3. The relationship between PDCL3 expression and immune infiltration, tumor mutation burden (TMB), and microsatellite instability (MSI) was investigated. Additionally, the therapeutic value of PDCL3 was explored. Finally, differences in PDCL3 expression across cell clusters were analyzed using single-cell datasets. In vitro cellular assays were performed to assess the impact of PDCL3 expression on the proliferative capacity, migratory potential, and invasive properties of non-small cell lung cancer (NSCLC) cells.Results: PDCL3 expression was upregulated in most tumors and correlated with poor outcomes, showing diagnostic and prognostic value. In addition, PDCL3 expression exhibited a positive correlation with infiltration of T helper 2 (Th2) cells and a negative correlation with infiltration of plasmacytoid dendritic cells (pDCs) across a variety of tumors. A relationship was also found between PDCL3 expression and TMB and MSI. Single-cell dataset analysis confirmed that PDCL3 expression was primarily in cancer cells and macrophages. In vitro functional analyses demonstrated that genetic silencing of PDCL3 significantly reduced proliferative rates, migratory activity, and invasive potential in pulmonary carcinoma cell models.Conclusions: PDCL3 may contribute to cancer progression and is a potential candidate biomarker for pan-cancer diagnosis and prognosis. These findings suggest that targeting PDCL3 may provide a valuable strategy for cancer immunotherapy.


  • Open Access

    Analysis of Nucleoporin 107 Overexpression and Its Association with Prognosis and Immune Infiltration in Lung Adenocarcinoma by Bioinformatics Methods

    by Zi-Hao Li, Jia-Yi Li, Yong-Jie Zhu, Lei Dai, Zuo-Tao Wu, Ju-Sen Nong, Ting Zhuo, Fu-Li Li, Ling-Yun He, Hong-Hua Liang, et al.

    Background: Lung adenocarcinoma (LUAD) has high morbidity and mortality. Current studies indicate nucleoporin 107 (NUP107) is involved in the construction of nuclear pore complex, and NUP107 overexpression contributes to the growth and development in most types of cancers, but its effect in LUAD has not been elucidated. Methods: Differences in NUP107 expression were investigated using the Cancer Genome Atlas (TCGA) and multiple Gene Expression Omnibus (GEO) data sets. Enrichment analysis were implemented to probe the NUP107 function. The association of NUP107 with the degree of immune cell infiltration was investigated by the TIMER database, single-sample gene set enrichment analysis (ssGSEA), and ESTIMATE. The association of NUP107 expression with tumor mutation burden (TMB), TP53, and immune checkpoint was analyzed. Single-cell RNA sequencing data were used to detect NUP107 expression in different cell clusters. Finally, we performed real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) to prove the difference of NUP107 expression. Results: NUP107 was overexpressed in LUAD and mainly expressed in cancer stem cell (CSC). Overexpression of NUP107 in LUAD suggested a poorer prognosis. Functional enrichment analysis pointed out that NUP107 was mainly linked to the regulation of cell cycle. Both immune cell infiltration and TMB were found to be in connection with NUP107. Cases in the group with high NUP107 expression had poorer immune infiltration, but had higher expression of immune checkpoints, TMB, and proportion of TP53 mutations. Conclusion: NUP107 is a sensitive diagnostic and prognostic factor for LUAD and may be involved in tumor progression through its effects on cell cycle and immune infiltration.