Apolipoprotein C1 (APOC1): A Novel Diagnostic and Prognostic Biomarker for Cervical Cancer

Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung

Smoking significantly elevates the risk of lung diseases such as chronic obstructive pulmonary disease (COPD) and lung cancer. This risk is attributed to the harmful chemicals in tobacco smoke that damage lung tissue and impair lung function. Current research on the impact of smoking on gene expression in specific lung cells is limited. This study addresses this gap by analyzing gene expression profiles at the single-cell level from 43,539 lung endothelial cells, 234,349 lung epithelial cells, 189,843 lung immune cells, and 16,031 lung stromal cells using advanced machine learning techniques. The data, categorized by different lung cell types, were classified into three smoking states: active smoker, former smoker, and never smoker. Each cell sample encompassed 28,024 feature genes. Employing an incremental feature selection method within a computational framework, several specific genes have been identified as potential markers of smoking status in different lung cell types. These include B2M, EEF1A1, and TPT1 in lung endothelial cells; FTL and MT-ATP8 in lung epithelial cells; HLA-B and HLA-C in lung immune cells; and HSP90B1 and LCN2 in lung stroma cells. Additionally, this study developed quantitative rules for representing the gene expression patterns related to smoking. This research highlights the potential of machine learning in oncology, enhancing our molecular understanding of smoking's harm and laying the groundwork for future mechanism-based studies.

APOC1 reduced anti-PD-1 immunotherapy of nonsmall cell lung cancer via the transformation of M2 into M1 macrophages by ferroptosis by NRF2/HO-1

The treatment strategy for nonsmall cell lung cancer (NSCLC) has always been a hot topic of concern, and its treatment strategies are also emerging. This experiment wants to know the effects of apolipoprotein C1 (APOC1) in immunotherapy of NSCLC. APOC1 mRNA and protein expression were upregulated in lung cancer tissue of patients with NSCLC. programmed cell death protein 1 (PD-1) mRNA expression was negatively correlated with PD-1 mRNA expression in patients. The survival rate of APOC1 high expression was lower than that of low expression in patients with NSCLC. APOC1 gene reduced the transformation of M2 into M1 macrophages (TMMM). APOC1 gene promoted cell growth, and the gene reduced ferroptosis of NSCLC. APOC1-induced nuclear factor erythroid 2-related factor 2/heme oxygenase-1 (NRF2/HO-1) signaling pathway. Sh-APOC1 gene reduced cell growth in mice of NSCLC through the inhibition of NRF2/HO-1 signaling pathway. The inhibition of NRF2 reduced the TMMM by APOC1. The activation of NRF2 reduced the TMMM by si-APOC1. In conclusion, APOC1 reduced anti-PD-1 immunotherapy of NSCLC via the TMMM by ferroptosis by NRF2/HO-1, suggesting that targeting this mechanism of APOC1 may be a feasible strategy for anti-PD-1 immunotherapy for NSCLC.

APOC1 is a prognostic biomarker associated with M2 macrophages in ovarian cancer

BACKGROUND

Recent studies have demonstrated that APOC1 is associated with cancer progression, exerting cancer-promoting and immune infiltration-promoting effects. Nevertheless, there is currently no report on the presence of APOC1 in ovarian cancer (OV).

METHOD

In this study, we conducted data analysis using the GEO and TCGA databases. We conducted a thorough bioinformatics analysis to investigate the function of APOC1 in OV, utilizing various platforms including cBioPortal, STRING, GeneMANIA, LinkedOmics, GSCALite, TIMER, and CellMarker. Additionally, we performed immunohistochemical staining on tissue microarrays and conducted in vitro cellular assays to validate our findings.

RESULT

Our findings reveal that APOC1 expression is significantly upregulated in OV compared to normal tissues. Importantly, patients with high APOC1 levels show a significantly poorer prognosis. Furthermore, our study demonstrated that APOC1 exerted a crucial function in promoting the capacity of ovarian cancer cells to proliferate, migrate, and invade. Additionally, we have identified that genes co-expressed with APOC1 are primarily associated with adaptive immune responses. Notably, the levels of APOC1 in OV exhibit a correlation with the presence of M2 Tumor-associated Macrophages (TAMs).

CONCLUSION

APOC1 emerges as a promising prognostic biomarker for OV and exhibits a significant association with M2 TAMs in OV.

miRNA-660-3p inhibits malignancy in glioblastoma via negative regulation of APOC1-TGFβ2 signaling pathway

Glioblastoma as the most common and aggressive central nervous system tumor in adults. Its prognosis and therapeutic outcome are poor due to the limited understanding of its molecular mechanism. Apolipoprotein C-1 (APOC1) as a member of the apolipoprotein family that acts as a tumor promoter in various cancers. MicroRNA (miRNA) can silence gene expression and suppress tumor progression. However, the role of APOC1 and its upstream miRNA has not been explored in glioblastoma. Two glioblastoma cell lines (U87 and U251) were used to explore the role of APOC1 and its upstream miRNA-660-3p in glioblastoma tumorigenesis in vitro. Cells with APOC1/miRNA-660-3p overexpression or knockdown were assessed for their proliferation, migration, and invasion in vitro, and tumorigenesis in vivo. Gene and protein expression was assessed by qRT-PCR and western blot, respectively. Cell proliferation was assessed by the MTT assay and the EdU and Ki67 staining. Cell migration and invasion were assessed by the transwell assay. Tumorigenesis in vivo was assessed in U87 cells with a xenograft mouse model. APOC1 was overexpressed in glioblastoma compared with normal peritumoral tissue and was inversely related to patient prognosis. APOC1 overexpression promotes cell proliferation, migration, and invasion in vitro. APOC1 inhibition reduced tumor growth in vivo. miRNA-660-3p inhibits tumorigenesis by directly targeting APOC1. Mechanistically, APOC1 drives the malignancy of glioblastoma by activating the TGFβ2 signaling pathway. miRNA-660-3p suppresses tumorigenesis by targeting APOC1. Therefore, miRNA-660-3p/APOC1 axis can serve as potential intervention targets in managing glioblastoma progression.

Label-free based quantitative proteomics analysis to explore the molecular mechanism of gynecological cold coagulation and blood stasis syndrome

Cold coagulation and blood stasis (CCBS) syndrome is one of the common traditional Chinese medicine (TCM) syndromes of gynecological diseases. However, the molecular mechanism of CCBS syndrome is still unclear. Thus, there is a need to reveal the occurrence and regulation mechanism of CCBS syndrome, in order to provide a theoretical basis for the treatment of CCBS syndrome in gynecological diseases. The plasma proteins in primary dysmenorrhea (PD) patients with CCBS syndrome, endometriosis (EMS) patients with CCBS syndrome, and healthy women were screened using Label-free quantitative proteomics. Based on the TCM theory of "same TCM syndrome in different diseases," the differentially expressed proteins (DEPs) identified in each group were subjected to intersection mapping to obtain common DEPs in CCBS syndrome. The DEPs of gynecological CCBS syndrome in the intersection part were again cross-mapped with the DEPs of gynecological CCBS syndrome obtained by the research group according to the TCM theory of "different TCM syndromes in same disease" theory in the early stage, so as to obtain the DEPs of gynecological CCBS syndrome that were shared by the two parts. The common DEPs were subjected to bioinformatics analysis, and were verified by enzyme-linked immunosorbent assay (ELISA). A total of 67 common DEPs were identified in CCBS syndrome, of which 33 DEPs were upregulated and 34 DEPs were downregulated. The functional classification of DEPs involved in metabolic process, energy production and conversion, immune system process, antioxidant activity, response to stimulus, and biological adhesion. The subcellular location mainly located in the cytoplasm, nucleus, and extracellular. Gene ontology (GO) enrichment analysis showed that the upregulated DEPs mainly concentrated in lipid transport, cell migration, and inflammatory reaction, and the downregulated DEPs mostly related to cell junction, metabolism, and energy response. Protein domain enrichment analysis and clustering analysis revealed that the DEPs mainly related to cell proliferation and differentiation, cell morphology, metabolism, and immunity. The Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis clustering analysis showed that the upregulated DEPs were involved in inflammation and oxidative damage, while the downregulated DEPs were involved in inflammation, cell adhesion, cell apoptosis, and metabolism. The results of ELISA showed significantly increased levels of Cell surface glycoprotein MUC18 (MCAM) and Apolipoprotein C1 (APOC1), and significantly decreased levels of Vasodilator-stimulated phosphoprotein (VASP), Fatty acid-binding protein 5 (FABP5), and Vinculin (VCL) in patients with CCBS syndrome compared with healthy women. We speculated that cold evil may affect the immune process, inflammatory response, metabolic process, energy production and conversion, oxidative damage, endothelial cell dysfunction, and other differential proteins expression to cause CCBS syndrome in gynecological diseases.

Survey on cervical cancer knowledge and its influencing factors among 2,578 women in Shache county, Kashi, China

BACKGROUND

In the southern part of Xinjiang, the incidence and mortality rates of the cervical cancer among Uyghurs are significantly higher than those of other ethnic groups living in the same environment, and their mortality rate takes the first place among ethnic minorities in China.

OBJECTIVE

To assess the level of cervical cancer knowledge by Questionnaire survey using the scoring system and its influencing factors among women in Shache county, Kashi, China.

METHOD

Based on the cervical cancer health education carried out by the medical team of the county hospital to the residents in the urban and rural areas of Shache County from September 1st, 2022, to September 30th, 2022, a cluster sampling was conducted at the same time and a total of 2578 women were included. The questionnaire survey includes resident basic information, and their knowledge about cervical cancer which was evaluated by the scoring system. The scoring system of the knowledge about cervical cancer includes 4 items, the total score was 8 point and scored more than 4 points was used as knowledge knowing, the knowledge of cervical cancer (unknown = 0; known = 1) was used as the dependent variable. Six factors include residence area (urban or rural), age, ethnic group, educational level, occupation, and the ways to acquire knowledge access were used as independent variables. The retrieved questionnaire was entered by the medical staff, and the Excel software was used for duplicate verification. Chi-square test and unconditional logistic regression analysis were used for statistical analysis.

RESULTS

Of the 2578 study subjects, 1591 were from rural areas and 987 were from the urban areas, and the differences were statistically significant (P < 0.001). Based on the scoring system of the knowledge about cervical cancer, the knowledge knowing accounts for only 34.1%. Multivariate logistic regression analysis showed that living in the urban(AOR = 1.358,95% CI:1.111-1.659), occupation of non-farming and non-housewife(AOR = 2.680,95%CI:2.126-3.377), education level of high school and above(AOR = 1.388,95%CI:1.125-1.712), and four or more access to knowledge(AOR = 1.446,95%CI:1.099-1.903) were protective factors for cervical cancer knowledge knowing.

CONCLUSION

Based on the questionnaire survey, the level of cervical cancer knowledge among women in Shache county was inadequate. Considering above mention influencing factors, it is necessary for the medical and health institutions to take various measures to carry out targeted health education on cervical knowledge for women in Shache county.

APOC1 promotes the progression of osteosarcoma by binding to MTCH2

Osteosarcoma is the most prevalent primary malignant bone cancer worldwide. Apolipoprotein C1 (APOC1) and mitochondrial carrier homolog 2 (MTCH2) have been identified to be upregulated during the oncogenesis and metastasis of osteosarcoma. The aim of the present study was to explore the role of APOC1 in osteosarcoma progression and the mechanisms associated with MTCH2. APOC1 and MTCH2 expression in osteosarcoma cells was assessed by reverse transcription-quantitative PCR and western blotting. Then, APOC1 was silenced to detect its effect on cell viability, proliferation and apoptosis using Cell Counting Kit-8, a colony formation assay and TUNEL staining, respectively. Transwell and wound healing assays were used to evaluate cell invasion and migration. The interaction between APOC1 and MTCH2 as predicted by the Biological General Repository for Interaction Datasets and the Search Tool for the Retrieval of Interacting Genes/Proteins databases was verified by co-immunoprecipitation assay. Subsequently, rescue experiments were performed to analyze the regulatory effects of APOC1 on MTCH2 in the biological behavior and Warburg effect of osteosarcoma cells. Significantly upregulated APOC1 and MTCH2 expression was found in osteosarcoma SAOS-2 cells. APOC1 silencing attenuated cell viability, inhibited proliferation and promoted cell apoptosis, coupled with the decreased Bcl-2 expression and increased Bax and cleaved-caspase 3 expression. The invasive and migratory capacities of SAOS-2 cells were also suppressed following APOC1 knockdown. Moreover, APOC1 was confirmed to interact with MTCH2 in osteosarcoma cells. MTCH2 upregulation inhibited the impacts of APOC1 deletion on the malignant behavior of osteosarcoma cells. APOC1 silencing-induced oxidative phosphorylation elevation and Warburg effect decrease were partially restored by MTCH2 upregulation. In sum, APOC1 promoted progression of osteosarcoma by binding to MTCH2, suggesting that targeting the APOC1/MTCH2 axis may be a potential treatment of osteosarcoma.

ApoC1 promotes glioma metastasis by enhancing epithelial-mesenchymal transition and activating the STAT3 pathway

OBJECTIVE

One of the apolipoprotein's members, apolipoprotein C1 (ApoC1), is critical in the metabolism of both very-low-density lipoprotein (VLDL) and high-density lipoprotein (HDL) cholesterols. Multiple studies have recently revealed that ApoC1 may be a viable therapeutic target in solid malignancies. However, the motor protein ApoC1's specific role and mechanism in glioblastoma remain unknown.

METHODS

In this study, the Cancer Genome Atlas (TCGA) database was used to look at the level of ApoC1 in glioma tissues and normal tissues, as well as how it related to the prognosis of glioma. Glioma cell lines (U87 and U251) were subjected to a wide range of experiments to determine the involvement of ApoC1 in cell proliferation, migration, and invasion.

RESULTS

Cell proliferation, migration, and invasion decreased in glioma cell lines when ApoC1 was silenced. Furthermore, ApoC1 increased glioma cell metastasis through the epithelial-mesenchymal transition (EMT), while ApoC1 deletion reduced this impact. Additionally, APOC1 influenced the evolution of glioma by affecting the STAT3 pathway. In addition, APOC1 knockdown reduced the activation of the phosphorylated-total signal transducer and activator of transcription (STAT3) in the glioma cells. ApoC1-induced glioma cell metastatic ability was prevented by niclosamide (a STAT3 inhibitor).

CONCLUSIONS

These results uncover that ApoC1 may serve as a biomarker or therapeutic target for future fundamental study or clinical treatment of glioma.

Apolipoproteins: New players in cancers

Apolipoproteins (APOs), the primary protein moiety of lipoproteins, are known for their crucial role in lipid traffic and metabolism. Despite extensive exploration of APOs in cardiovascular diseases, their roles in cancers did not attract enough attention. Recently, research focusing on the roles of APOs in cancers has flourished. Multiple studies demonstrate the interaction of APOs with classical pathways of tumorigenesis. Besides, the dysregulation of APOs may indicate cancer occurrence and progression, thus serving as potential biomarkers for cancer patients. Herein, we summarize the mechanisms of APOs involved in the development of various cancers, their applications as cancer biomarkers and their genetic polymorphism associated with cancer risk. Additionally, we also discuss the potential anti-cancer therapies by virtue of APOs. The comprehensive review of APOs in cancers may advance the understanding of the roles of APOs in cancers and their potential mechanisms. We hope that it will provide novel clues and new therapeutic strategies for cancers.

Decreased APOC1 expression inhibited cancer progression and was associated with better prognosis and immune microenvironment in esophageal cancer

Several studies have demonstrated the involvement of apolipoprotein C1 (APOC1) in multiple cancers. However, the role of APOC1 in esophageal cancer (ESCA) has not been elucidated. Hence, we examined the expression of APOC1 in ESCA tissues acquired from The Cancer Genome Atlas (TCGA) database and clinical samples from our hospital. An investigation of the association of APOC1 with the clinicopathological characteristics, prognosis, and diagnosis of ESCA was carried out on the basis of survival, receiver operating characteristics, and correlation analyses. Gene ontology, KEGG analysis, and protein-protein interaction network showed that co-expressed APOC1 genes were involved in the functions, mechanisms, and action network. The effects of APOC1 expression on ESCA cells were explored using CCK-8, migration and invasion assays. The relationship between APOC1 expression and ESCA immune-infiltrating cells and cell markers were examined using correlation analysis. We found that APOC1 was overexpressed in TCGA ESCA tissues and the same was validated in clinical ESCA tissues, with the area under the curve for APOC1 being 0.887. Overexpression of APOC1 was associated with short overall survival, disease-specific survival, progression-free interval, T stage, pathological stage, body mass index, and histological grade. Inhibition of APOC1 expression significantly reduced the proliferation, migration, and invasion of ESCA cells. Furthermore, APOC1 expression positively correlated with the ESTIMATE, immune, and stromal scores in ESCA. Overexpression of APOC1 correlated with the tumor purity, B cells, T helper cells, natural killer cells, cytotoxic cells, and other immune cells. Moreover, APOC1 was involved in ESCA progression via T cell receptor, B cell receptor, and other immune signaling pathways. Thus, APOC1 overexpression is expected to be a biomarker for dismal prognosis and diagnosis of ESCA. Inhibition of APOC1 expression significantly reduced the proliferation, migration, and invasion of ESCA cells. Overexpression of APOC1 was associated with the immune microenvironment in ESCA. Thus, APOC1 may be an efficient biomarker for proper prognosis and diagnosis of ESCA.

Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies

Cervical cancer (CC) is considered as the fourth most common women cancer globally.that shows malignant features of local infiltration and invasion into adjacent organs and tissues. There are several individual studies in the literature that explored CC-causing hub-genes (HubGs), however, we observed that their results are not so consistent. Therefore, the main objective of this study was to explore hub of the HubGs (hHubGs) that might be more representative CC-causing HubGs compare to the single study based HubGs. We reviewed 52 published articles and found 255 HubGs/studied-genes in total. Among them, we selected 10 HubGs (CDK1, CDK2, CHEK1, MKI67, TOP2A, BRCA1, PLK1, CCNA2, CCNB1, TYMS) as the hHubGs by the protein-protein interaction (PPI) network analysis. Then, we validated their differential expression patterns between CC and control samples through the GPEA database. The enrichment analysis of HubGs revealed some crucial CC-causing biological processes (BPs), molecular functions (MFs) and cellular components (CCs) by involving hHubGs. The gene regulatory network (GRN) analysis identified four TFs proteins and three miRNAs as the key transcriptional and post-transcriptional regulators of hHubGs. Then, we identified hHubGs-guided top-ranked FDA-approved 10 candidate drugs and validated them against the state-of-the-arts independent receptors by molecular docking analysis. Finally, we investigated the binding stability of the top-ranked three candidate drugs (Docetaxel, Temsirolimus, Paclitaxel) by using 100 ns MD-based MM-PBSA simulations and observed their stable performance. Therefore the finding of this study might be the useful resources for CC diagnosis and therapies.

Cervical Cancer Imaging Features Associated With ADRB1 as a Risk Factor for Cerebral Neurovascular Metastases

Bioinformatics tools are used to create a clinical prediction model for cervical cancer metastasis and to investigate the neurovascular-related genes that are involved in brain metastasis of cervical cancer. One hundred eighteen patients with cervical cancer were divided into two groups based on the presence or absence of metastases, and the clinical data and imaging findings of the two groups were compared retrospectively. The nomogram-based model was successfully constructed by taking into account four clinical characteristics (age, stage, N, and T) as well as one imaging characteristic (original_glszm_GrayLevelVariance Rad-score). In patients with cervical cancer, headaches and vomiting were more often reported in the brain metastasis group than in the other metastasis groups. According to the TCGA data, mRNA differential gene expression analysis of patients with cervical cancer revealed an increase in the expression of neurovascular-related gene Adrenoceptor Beta 1 (ADRB1) in the brain metastasis group. An analysis of the correlation between imaging features and ADRB1 expression revealed that ADRB1 expression was significantly higher in the low Rad-score group compared with the high Rad-score group (P = 0.025). Therefore, ADRB1 expression in cervical cancer was correlated with imaging features and was associated as a risk factor for cerebral neurovascular metastases. This study developed a nomogram prediction model for cervical cancer metastasis using age, stage, N, T and original_glszm_GrayLevelVariance. As a risk factor associated with the development of cerebral neurovascular metastases of cervical cancer, ADRB1 expression was significantly higher in brain metastases from cervical cancer.

The Mean ApoC1 Serum Level in Postoperative Samples from Neurosurgical Patients Is Lower than in Preoperative Samples and during Chemotherapy

Serum levels of apolipoprotein ApoC1 have been described in a number of systemic tumor entities as potential biomarkers, but little is known about ApoC1 in neurosurgical patients. A total of 230 serum samples from 96 patients were analyzed using an ELISA technique. Patient diagnoses comprised 70 glioblastomas WHO IV°, 10 anaplastic astrocytomas III°, one anaplastic oligodendroglioma III°, one oligodendroglioma II°, one diffuse astrocytoma II°, one pilocytic astrocytoma I°, and a single case of a spindle cell tumor without WHO grading, as well as 11 spinal interventions. The mean ApoC1 level of the 230 samples was 132.03 µg/mL (median 86.83, SD 292.91). In the 176 glioblastoma samples, the mean ApoC1 level was 130.0 µg/mL (median 86.23, SD 314.9), which was neither different from the whole group nor from patients with spinal interventions (215.1 μg/mL, median 63.6, SD 404.9). In the postoperative samples, the mean ApoC1 level was significantly lower (85.81 μg/mL) than in the preoperative samples (129.64 μg/mL) and in samples obtained during adjuvant chemotherapy (168.44 μg/mL). While absolute ApoC1 serum levels in a patient do not allow for the distinction between neurosurgical histological entities, future analyses will examine whether the time course of ApoC1 in an individual patient can be related to certain treatment stages.

Transcriptome Analysis Reveals the Immune Infiltration Profiles in Cervical Cancer and Identifies KRT23 as an Immunotherapeutic Target

Cervical cancer (CC) is one of the most common malignancies in women worldwide. Dismal prognosis rates have been associated with conventional therapeutic approaches, emphasizing the need for new strategies. Recently, immunotherapy has been used to treat various types of solid tumors, and different subtypes of the tumor microenvironment (TME) are associated with diverse responses to immunotherapy. Accordingly, understanding the complexity of the TME is pivotal for immunotherapy. Herein, we used two methods, “ssGSEA” and “xCell,” to identify the immune profiles in CC and comprehensively assess the relationship between immune cell infiltration and genomic alterations. We found that more adaptive immune cells were found infiltrated in tumor tissues than in normal tissues, whereas the opposite was true for innate cells. Consensus clustering of CC samples based on the number of immune cells identified four clusters with different survival and immune statuses. Then, we subdivided the above four clusters into “hot” and “cold” tumors, where hot tumors exhibited higher immune infiltration and longer survival time. Enrichment analyses of differentially expressed genes (DEGs) revealed that the number of activated immune signaling pathways was higher in hot tumors than that in cold tumors. Keratin, type I cytoskeletal 23 (KRT23), was upregulated in cold tumors and negatively correlated with immune cell infiltration. In vitro experiments, real-time reverse transcription-quantitative polymerase chain reaction, cytometric bead arrays, and ELISA revealed that knockdown of KRT23 expression could promote the secretion of C-C motif chemokine ligand-5 and promote the recruitment of CD8⁺ T cells. We also constructed a model based on DEGs that exhibited a high predictive power for the survival of CC patients. Overall, our study provides deep insights into the immune cell infiltration patterns of CC. Moreover, KRT23 has huge prospects for application as an immunotherapeutic target. Finally, our model demonstrated a good predictive power for the prognosis of CC patients and may guide clinicians during immunotherapy.

PCBP1 regulates the transcription and alternative splicing of metastasis‑related genes and pathways in hepatocellular carcinoma

PCBP1 is a multifunctional RNA-binding protein (RBP) expressed in most human cells and is involved in posttranscriptional gene regulation. PCBP1 regulates the alternative splicing, translation and RNA stability of many cancer-related genes and has been identified as a potential tumour suppressor gene. PCBP1 inhibits the invasion of hepatocellular carcinoma (HCC) cells, but there are few studies on the specific regulatory target and mechanism of RBPs in HCC, and it is unclear whether PCBP1 plays a role in tumour metastasis as a splicing factor. We analysed the regulation of gene expression by PCBP1 at the transcriptional level. We obtained and analysed PCBP1-knockdown RNA-seq data and eCLIP-seq data of PCBP1 in HepG2 cells and found that PCBP1 widely regulates the alternative splicing and expression of genes enriched in cancer-related pathways, including extracellular matrix, cell adhesion, small molecule metabolic process and apoptosis. We validated five regulated alternative splicing events affected by PCBP1 using RT-qPCR and found that there was a significant difference in the expression of APOC1 and SPHK1 between tumour and normal tissues. In this study, we provided convincing evidence that human PCBP1 profoundly regulates the splicing of genes associated with tumour metastasis. These findings provide new insight into potential markers or therapeutic targets for HCC treatment.