Molecular subtype identification and signature construction based on Golgi apparatus-related genes for better prediction prognosis and immunotherapy response in hepatocellular carcinoma
Open accessAbstract
Introduction: The Golgi apparatus (GA) is the center of protein and lipid synthesis and modification in normal cells and is involved in regulating various cellular process as a signaling hub, the dysfunction of which can lead to the development of various pathological conditions, including tumors. Mutations in Golgi apparatus-related genes (GARGs) are prevalent in most tumors, and their mutations can make them pro-tumor metastatic. The aim of this study was to analyze the predictive role of GARGs in the prognosis and immunotherapeutic outcome of hepatocellular carcinoma. Methods: We used TCGA, GEO and ICGC databases to classify hepatocellular carcinoma samples into two molecular subtypes based on the expression of GARGs. Signature construction was then performed using GARGs, and signature genes were selected for expression validation and tumor phenotype experiments to determine the role of GARGs in the prognosis of hepatocellular carcinoma. Results: Using the TCGA, GEO and ICGC databases, two major subtypes of molecular heterogeneity among hepatocellular carcinoma tumors were identified based on the expression of GARGs, C1 as a high-risk subtype (low survival) and C2 as a low-risk subtype (high survival). The high-risk subtype had lower StromalScore, ImmuneScore, ESTIMATEScore and higher TumorPurity, indicating poorer treatment outcome for ICI. Meanwhile, we constructed a new risk assessment profile for hepatocellular carcinoma based on GARGs, and we found that the high-risk group had a worse prognosis, a higher risk of immune escape, and a higher TP53 mutation rate. Meanwhile, TME analysis showed higher tumor purity TumorPurity and lower ESTIMATEScore, ImmuneScore and StromalScore in the high-risk group. We also found that the high-risk group responded more strongly to a variety of anticancer drugs, which is useful for guiding clinical drug use. Meanwhile, the expression of BSG was experimentally found to be associated with poor prognosis of HCC. After interfering with the expression of BSG in HCC cells SMMC-7721, the proliferation and migration ability of HCC cells were significantly restricted. Discussion: The signature we constructed using GARGs can well predict the prognosis and immunotherapy effect of hepatocellular carcinoma, providing new ideas and strategies for the treatment of hepatocellular carcinoma.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bioinformatic analysis linked GDI1 to pathways such as KRAS and mTORC1 signaling.
“Bioinformatic analysis linked GDI1 to pathways such as KRAS and mTORC1 signaling [19]”
From Construction and validation of golgi apparatus-related genes as predictors of the immune microenvironment and prognosis in colorectal cancer (2026) · cites this paper as [19]
The Results section on differential expression and prognosis reports enrichment for glycosphingolipid biosynthesis and sphingolipid metabolism, but does not link GDI1 to KRAS or mTORC1 signaling. Searches of our copy for GDI1, KRAS, and mTORC1 found no passage addressing the claimed link; the paper’s pathway-analysis methods alone do not establish it. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699 · see citing works
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
Llovet, J. M., Kelley, R. K., Villanueva, A., Singal, A. G., Pikarsky, E., Roayaie, S., Lencioni, R., Koike, K., Zucman-Rossi, J., & Finn, R. S. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-00240-3 · Cited by 7,055 · see citing works
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231 · see citing works
New horizons in tumor microenvironment biology: challenges and opportunities
Chen, F., Zhuang, X., Lin, L., Yu, P., Wang, Y., Shi, Y., Hu, G., & Sun, Y. (2015) · BMC Medicine · doi:10.1186/s12916-015-0278-7 · Cited by 704 · see citing works
Regulation of Tumor Metastasis by Myeloid-Derived Suppressor Cells
Condamine, T., Ramachandran, I., Youn, J., & Gabrilovich, D. I. (2014) · Annual Review of Medicine · doi:10.1146/annurev-med-051013-052304 · Cited by 521 · see citing works
Dippold, H. C., Ng, M. M., Farber-Katz, S., Lee, S.-K., Kerr, M. L., Peterman, M. C., Sim, R., Wiharto, P. A., Galbraith, K. A. A., Madhavarapu, S., et al. (2009) · Cell · doi:10.1016/j.cell.2009.07.052 · Cited by 448 · see citing works
Regulation of the metastatic cell phenotype by sialylated glycans
Schultz, M., Swindall, A. F., & Bellis, S. L. (2012) · Cancer and Metastasis Reviews · doi:10.1007/s10555-012-9359-7 · Cited by 302 · see citing works
DNA Damage Triggers Golgi Dispersal via DNA-PK and GOLPH3
Farber-Katz, S., Dippold, H. C., Buschman, M. D., Peterman, M. C., Xing, M., Noakes, C., Tat, J., Ng, M. M., Rahajeng, J., Cowan, D. M., et al. (2014) · Cell · doi:10.1016/j.cell.2013.12.023 · Cited by 257 · see citing works
GOLM1 modulates EGFR/RTK cell-surface recycling to drive hepatocellular carcinoma metastasis
Ye, Q.-H., Zhu, W.-W., Zhang, J.-B., Qin, Y., Lu, M., Lin, G.-L., Guo, L., Zhang, B., Lin, Z.-H., Roessler, S., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.07.017 · Cited by 228 · see citing works
Allan, V., Thompson, H. M., & McNiven, M. A. (2002) · Nature Cell Biology · doi:10.1038/ncb1002-e236 · Cited by 212 · see citing works
Ravichandran, Y., Goud, B., & Manneville, J. (2019) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2019.10.003 · Cited by 144 · see citing works
Onco-Golgi: Is Fragmentation a Gate to Cancer Progression?
Petrosyan, A. (2015) · Biochemistry & Molecular Biology Journal · doi:10.21767/2471-8084.100006 · Cited by 138 · see citing works
Rizzo, R., Russo, D., Kurokawa, K., Sahu, P., Lombardi, B., Supino, D., Zhukovsky, M. A., Vocat, A., Pothukuchi, P., Kunnathully, V., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2020107238 · Cited by 101 · see citing works
Upregulation of myosin Va by Snail is involved in cancer cell migration and metastasis
Lan, L., Han, H., Zuo, H., Chen, Z., Du, Y., Zhao, W., Gu, J., & Zhang, Z. (2009) · International Journal of Cancer · doi:10.1002/ijc.24641 · Cited by 88 · see citing works
Self-citationCD147 receptor is essential for TFF3-mediated signaling regulating colorectal cancer progression
Cui, H., Wang, S., Song, F., Cheng, X., Nan, G., Zhao, Y., Qian, M., Chen, X., Li, J., Liu, F.-L., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00677-2 · Cited by 74 · see citing works
Self-citationPI4KIIIβ is a therapeutic target in chromosome 1q–amplified lung adenocarcinoma
Tan, X., Banerjee, P., Pham, E. A., Rutaganira, F. U. N., Basu, K., Bota-Rabassedas, N., Guo, H.-F., Grzeskowiak, C. L., Liu, X., Yu, J., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aax3772 · Cited by 70 · see citing works
Alterations of Golgi Structural Proteins and Glycosylation Defects in Cancer
Zhang, X. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.665289 · Cited by 68 · see citing works
Gene expression in human oral squamous cell carcinoma is influenced by risk factor exposure
Cheong, S. C., Chandramouli, G. V. R., Saleh, A., Zain, R. B., Lau, S. H., Sivakumaren, S. C., Pathmanathan, R., Prime, S. S., Teo, S., Patel, V., et al. (2009) · Oral Oncology · doi:10.1016/j.oraloncology.2008.11.002 · Cited by 68 · see citing works
Shen, T., Yang, L., Zhang, Z., Yu, J., Dai, L. X., Gao, M., Shang, Z., & Niu, Y. (2019) · Disease Markers · doi:10.1155/2019/4863182 · Cited by 62 · see citing works
The Golgi architecture and cell sensing
Makhoul, C., Gosavi, P., & Gleeson, P. A. (2018) · Biochemical Society Transactions · doi:10.1042/bst20180323 · Cited by 58 · see citing works
CD147 promotes collective invasion through cathepsin B in hepatocellular carcinoma
Wang, S., Dong, C., Wei, W., Nan, G., Li, J., Liu, F.-L., Li, L., Jiang, J., Cui, H., & Chen, Z. (2020) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-020-01647-2 · Cited by 53 · see citing works
Self-citationAberrant Myosin 1b Expression Promotes Cell Migration and Lymph Node Metastasis of HNSCC
Ohmura, G., Tsujikawa, T., Yaguchi, T., Kawamura, N., Mikami, S., Sugiyama, J., Nakamura, K., Kobayashi, A., Iwata, T., Nakano, H., et al. (2014) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-14-0410 · Cited by 52 · see citing works
Song, J.-W., Zhu, J., Wu, X.-X., Tu, T., Huang, J.-Q., Chen, G.-Z., Liang, L.-Y., Zhou, C.-H., Xu, X., & Gong, L.-Y. (2021) · Cell Death & Disease · doi:10.1038/s41419-021-04265-8 · Cited by 51 · see citing works
Pu, Y., Song, Y., Zhang, M., Long, C., Li, J., Wang, Y., Xu, Y., Pan, F., Zhao, N., Zhang, X., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00535-1 · Cited by 50 · see citing works
Ren, X., Chen, X., Ji, Y., Li, L., Li, Y., Qin, C., & Fang, K. (2020) · Aging · doi:10.18632/aging.202153 · Cited by 49 · see citing works
Targeted protein unfolding uncovers a Golgi-specific transcriptional stress response
Serebrenik, Y. V., Hellerschmied, D., Toure, M., López‐Giráldez, F., Brookner, D. E., & Crews, C. M. (2018) · Molecular Biology of the Cell · doi:10.1091/mbc.e17-11-0693 · Cited by 44 · see citing works
Hassinen, A., Khoder-Agha, F., Khosrowabadi, E., Mennerich, D., Harrus, D., Noel, M., Dimova, E. Y., Glumoff, T., Harduin-Lepers, A., Kietzmann, T., et al. (2019) · Redox Biology · doi:10.1016/j.redox.2019.101182 · Cited by 33 · see citing works
Wang, X. W., Wei, W., Wang, W. Q., Zhao, X. Y., Guo, H. Y., & Dian Chun, F. A. N. G. (2014) · Gut and Liver · doi:10.5009/gnl13133 · Cited by 29 · see citing works
Lee, Z. Y., Loo, J. S. E., Wibowo, A., Mohammat, M. F., & Foo, J. B. (2021) · Carbohydrate Research · doi:10.1016/j.carres.2021.108395 · Cited by 24 · see citing works
Murali, P., Johnson, B. P., Lu, Z., Climer, L. K., Scott, D. A., Foulquier, F., Oprea‐Ilies, G., Lupashin, V. V., Drake, R. R., & Abbott, K. L. (2020) · Oncotarget · doi:10.18632/oncotarget.27668 · Cited by 22 · see citing works
Łacina, P., Butrym, A. K., Turlej, E., Stachowicz-Suhs, M., Wietrzyk, J., Mazur, G. J., & Bogunia‐Kubik, K. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11020332 · Cited by 19 · see citing works
Selected Golgi-Localized Proteins and Carcinogenesis: What Do We Know?
Donizy, P., & Marczuk, J. (2019) · Results and problems in cell differentiation · doi:10.1007/978-3-030-23173-6_20 · Cited by 9 · see citing works
Wang, J., Hu, Y., Gonzalez, C. L., Tang, L., Wang, B., El‐Naggar, A. K., Myers, J. N., & Caulı́n, C. (2020) · Clinical Cancer Research · doi:10.1158/1557-3265.aacrahns19-a14 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Bai, H., Wu, Y., Li, H., Zhu, Y., Che, R., Wang, F., & Zhang, C. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169511 · Cited by 48 · see citing works
Bin, T., Tang, J., Lü, B., Xu, X., Lin, C., & Wang, Y. (2024) · Annals of Hematology · doi:10.1007/s00277-024-06119-7 · Cited by 17 · see citing works
Wang, M., Cheng, L., Gao, Z., Li, J., Ding, Y., Shi, R., Xiang, Q., & Chen, X. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1203168 · Cited by 7 · see citing works
Wang, M., Xu, X., Li, J., Gao, Z., Ding, Y., Chen, X., Xiang, Q., & Shen, L. (2023) · Aging · doi:10.18632/aging.205298 · Cited by 4 · see citing works
Deng, H., Wang, X., Jiang, Z.-A., Xu, J., Zhang, Y., Zhou, Y., Gong, J., Lu, X., Hou, Y.-F., & Zhang, H. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1541252 · Cited by 4 · see citing works
Zhang, A., Xiao, H., Zhang, C., & Tang, X. (2024) · BMC Medical Genomics · doi:10.1186/s12920-024-01823-9 · Cited by 4 · see citing works
Zhao, B., Xuan, R., Yang, G., Hu, T., Chen, Y., Cai, L., Hu, B., Ling, G., & Xia, Z. (2025) · Discover Oncology · doi:10.1007/s12672-025-01889-6 · Cited by 4 · see citing works
Da, Y., Lu, Z., Zhu, Z., Tai, H., Liu, Y., & Zhu, Y. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1604609 · Cited by 5 · see citing works
Mazziotta, C., & Rotondo, J. C. (2025) · World Journal of Gastroenterology · doi:10.3748/wjg.v31.i38.112489 · Cited by 3 · see citing works
Chen, R., Yao, Z., Jiang, L., & Hu, J. (2025) · Discover Oncology · doi:10.1007/s12672-025-01827-6 · Cited by 2 · see citing works
Self-citationWu, Y., Peng, H., Chen, G.-X., Tu, Y., & Yu, X. (2025) · PeerJ · doi:10.7717/peerj.19337 · Cited by 2 · see citing works
Chen, J., & Wang, F. (2026) · Translational Oncology · doi:10.1016/j.tranon.2026.102714 · Cited by 2 · see citing works
Prognostic significance and pathogenesis of RFC3 gene expression in diffuse large B-cell lymphoma
Tian, Z., Liu, S.-Y., & Weng, C. (2025) · PeerJ · doi:10.7717/peerj.20001 · Cited by 1 · see citing works
Ge, X., Ge, F., Xiao, L., & Su, A.-J. (2025) · Medicine · doi:10.1097/md.0000000000042909 · Cited by 1 · see citing works
Song, T.-X., Rong, Y., Ji, H.-M., & Wang, X.-S. (2026) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v18.i6.118497
- Authors
- Sun, L., Liu, Z., Wu, Z., Ning, K., Hu, J., Chen, Z., Wu, Z., & Yin, X.
- Affiliations
- Second Affiliated Hospital of Nanchang University (CN)
- First Affiliated Hospital of Nanchang University (CN)
- Corresponding author
- Yin, Xiangbao
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2023-03-27
- Volume
- 14
- Pages
- 1113455-1113455
- ISSN
- 1664-3224 (ISSN-L)
- PMC
- PMC10083374
- OpenAlex
- W4360982620
- Cited by
- 14
- References
- 35
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 2 · 2023: 3
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Immunology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China
- Topics
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Ferroptosis and cancer prognosis
- Keywords
- hepatocellular carcinoma, molecular subtypes, prognostic signature, immunotherapy response, immune evasion, tumor microenvironment, immune checkpoint inhibitors, TP53 mutation, brewer's spent grain, drug response prediction, cell proliferation and migration
- MeSH terms
- Golgi Apparatus, Carcinoma, Hepatocellular, Humans, Immunotherapy, Liver Neoplasms, Prognosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review