Prostate cancer-associated transcript 6 (PCAT6) promotes epithelial-mesenchymal transition and stemness and worsens prognosis in patients with colorectal cancer.

Approximately 20% of colorectal cancer (CRC) patients are first diagnosed with metastatic colorectal cancer (mCRC) because they develop symptoms at an advanced stage. Despite advancements in treatment, patients with metastatic disease still experience inferior survival rates. Our objective is to investigate the association between long noncoding RNAs (lncRNAs) and prognosis and to explore their role in mCRC. In this study, we find that elevated expression of PCAT6 is independently linked to unfavourable survival outcomes in The Cancer Genome Atlas (TCGA) data, and this finding is further confirmed in CRC samples obtained from Fudan University Shanghai Cancer Center. Cell lines and xenograft mouse models are used to examine the impact of PCAT6 on tumor metastasis. Knockdown of PCAT6 is observed to impede the metastatic phenotype of CRC, as evidenced by functional assays, demonstrating the suppression of epithelial-mesenchymal transition (EMT) and stemness. Our findings show the significance of PCAT6 in mCRC and its potential use as a prognostic biomarker.

Negative correlation between acetyl-CoA acyltransferase 2 and cetuximab resistance in colorectal cancer.

The emergence of anti-EGFR therapy has revolutionized the treatment of colorectal cancer (CRC). However, not all patients respond consistently well. Therefore, it is imperative to conduct further research to identify the molecular mechanisms underlying the development of cetuximab resistance in CRC. In this study, we find that the expressions of many metabolism-related genes are downregulated in cetuximab-resistant CRC cells compared to their sensitive counterparts. Specifically, acetyl-CoA acyltransferase 2 (ACAA2), a key enzyme in fatty acid metabolism, is downregulated during the development of cetuximab resistance. Silencing of ACAA2 promotes proliferation and increases cetuximab tolerance in CRC cells, while overexpression of ACAA2 exerts the opposite effect. RTK-Kras signaling might contribute to the downregulation of ACAA2 expression in CRC, and ACAA2 predicts CRC prognosis in patients with Kras mutations. Collectively, our data suggest that modulating ACAA2 expression contributes to secondary cetuximab resistance in Kras wild-type CRC patients. ACAA2 expression is related to Kras mutation and demonstrates a prognostic role in CRC patients with Kras mutation. Thus, ACAA2 is a potential target in CRC with Kras mutation.

JUNB mediates oxaliplatin resistance via the MAPK signaling pathway in gastric cancer by chromatin accessibility and transcriptomic analysis.

Currently, platinum-containing regimens are the most commonly used regimens for advanced gastric cancer patients, and chemotherapy resistance is one of the main reasons for treatment failure. Thus, it is important to reveal the mechanism of oxaliplatin resistance and to seek effective intervention strategies to improve chemotherapy sensitivity, thereby improving the survival and prognosis of gastric cancer patients. To understand the molecular mechanisms of oxaliplatin resistance, we generate an oxaliplatin-resistant gastric cancer cell line and conduct assay for transposase-accessible chromatin sequencing (ATAC-seq) and RNA sequencing (RNA-seq) for both parental and oxaliplatin-resistant AGS cells. A total of 3232 genomic regions are identified to have higher accessibility in oxaliplatin-resistant cells, and DNA-binding motif analysis identifies JUNB as the core transcription factor in the regulatory network. JUNB is overexpressed in oxaliplatin-resistant gastric cancer cells, and its upregulation is associated with poor prognosis in gastric cancer patients, which is validated by our tissue microarray data. Moreover, chromatin immunoprecipitation sequencing (ChIP-seq) analysis reveals that JUNB binds to the transcriptional start site of key genes involved in the MAPK signaling pathway. Knockdown of JUNB inhibits the MAPK signaling pathway and restores sensitivity to oxaliplatin. Combined treatment with the ERK inhibitor piperlongumine or MEK inhibitor trametinib effectively overcomes oxaliplatin resistance. This study provides evidence that JUNB mediates oxaliplatin resistance in gastric cancer by activating the MAPK pathway. The combination of MAPK inhibitors with oxaliplatin overcomes resistance to oxaliplatin, providing a promising treatment opportunity for oxaliplatin-resistant gastric cancer patients.

Albumin-to-alkaline phosphatase ratio as a predictor of tumor recurrence and prognosis in patients with early-stage hepatocellular carcinoma undergoing radiofrequency ablation as initial therapy.

OBJECTIVE: Albumin-to-alkaline phosphatase ratio (AAPR), a newly developed blood biomarker, has been reported to have prognostic value in several types of cancer. This study aimed to investigate the predictive value of AAPR in patients with early-stage hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA) as initial therapy. METHODS: This retrospective study analyzed 445 patients with newly diagnosed HCC undergoing RFA as initial therapy. A series of survival analyses were performed to evaluate the prognostic value of AAPR. Univariate and multivariate analyses were performed to identify independent prognostic factors. An AAPR-based nomogram was constructed, and its predictive performance was validated. RESULTS: Patients with a low AAPR had a significantly reduced recurrence-free survival (RFS) and overall survival (OS) compared with those with a high AAPR. AAPR was found to be an independent prognostic indicator and showed superior discrimination efficacy than other liver function indices. The AAPR-based nomogram had a concordance index value of 0.72 (95% confidence interval [CI]: 0.65-0.79) in the training cohort and 0.72 (95% CI: 0.63-0.81) in the validation cohort, which significantly outperformed other existing staging systems. CONCLUSIONS: AAPR serves as a promising indicator of prognosis in patients with early-stage HCC undergoing RFA. The AAPR-based nomogram might contribute to individualized prognosis prediction and clinical decision making.

A new substage classification strategy for Barcelona Clinic Liver Cancer stage B patients with hepatocellular carcinoma.

BACKGROUND AND AIM: Patients with Barcelona Clinic Liver Cancer stage B hepatocellular carcinoma are a heterogeneous population, and the classifications available could not predict the prognosis accurately. Herein, we proposed a new substage classification method, Scoring Method for Intermediate Stage, for precise classification and clinical guidance in hepatocellular carcinoma patients within Barcelona Clinic Liver Cancer stage B. METHODS: A total of 1026 stage B patients of hepatocellular carcinoma who underwent transcatheter arterial chemoembolization as a first-line treatment in Liver Cancer Institute, Zhongshan Hospital, Fudan University were retrospectively enrolled. The prognostic evaluation ability of the new substage classification criteria was analyzed, in comparison with the existing substage classification criteria. RESULTS: Using Scoring Method for Intermediate Stage, 1026 stage B patients were subclassified into three subgroups, based on Child-Pugh score and up-to-7 grade, as B1 (scoring 2), B2 (scoring 3 or 4), and B3 (scoring 5 or 6). The median survival time of the three substages was 29 (95% confidence interval [CI]: 25-36), 19 (95% CI: 16-21), and 10 (95% CI: 8-12) months, respectively. More favorable discrimination efficacy was identified by the new criteria in comparison with the existing substage classification criteria, including Bolondi, Kinki, MICAN, and Kim's criteria. Moreover, multivariate analyses indicated that the novel classification was highly associated with prognosis (Hazard ratio(s) = 1.63, 95% CI: 1.43-1.86, P < 0.001). CONCLUSIONS: Scoring Method for Intermediate Stage demonstrates satisfying capacity in classifying patients with stage B hepatocellular carcinoma and predicting prognosis.

Sulfarotene Inhibits Colorectal Cancer via Mitigating Natural-Killer-Cell-Induced Stemness.

Tumor cell stemness stands out as a pivotal factor driving tumor recurrence or metastasis and significantly contributes to the mortality of patients with colorectal cancer (CRC). Recent research has unveiled a link between immune-active cells and the induction of tumor cell stemness, ultimately leading to heightened resistance to treatment. In this study, stemness in CRC cell lines was assessed after co-culture with natural killer (NK) cells, both with and without sulfarotene administration. Furthermore, a CRC xenograft model was utilized to scrutinize the in vivo efficacy of sulfarotene in overcoming stemness induced by NK cell activation. As a result, CRC cells exhibited significant stemness after NK cell co-culture, as evidenced by the upregulation of several stemness markers associated with cancer stem cells. Moreover, these cells demonstrated remarkable resistance to commonly used chemotherapy agents for CRC, such as oxaliplatin and irinotecan. Importantly, sulfarotene effectively reversed the altered stemness of CRC cells in both in vitro and in vivo assays. In conclusion, sulfarotene emerges as a promising therapeutic strategy for overcoming colorectal cancer resistance to NK cells by effectively inhibiting stemness remodeling. This study underscores the potential of sulfarotene in augmenting NK-cell-mediated immune surveillance, proposing a novel immunotherapeutic approach against colorectal cancer.

ScRNA-seq of gastric cancer tissues reveals differences in the immune microenvironment of primary tumors and metastases.

Gastric carcinoma (GC) is regarded as one of the deadliest cancer characterized by diversity and haste metastasis and suffers limited understanding of the spatial variation between primary and metastatic GC tumors. In this project, transcriptome analysis on 46 primary tumorous, adjacent non-tumorous, and metastatic GC tissues was performed. The results demonstrated that metastatic tumorous tissues had diminished CD8+ T cells compared to primary tumors, which is mechanistically attributed to being due to innate immunity differences represented by marked differences in macrophages between metastatic and primary tumors, particularly those expressing ApoE, where their abundance is linked to unfavorable prognoses. Examining variations in gene expression and interactions indicated possible strategies of immune evasion hindering the growth of CD8+ T cells in metastatic tumor tissues. More insights could be gained into the immune evasion mechanisms by portraying information about the GC ecosystem.

Oxaliplatin-Resistant Hepatocellular Carcinoma Drives Immune Evasion Through PD-L1 Up-Regulation and PMN-Singular Recruitment.

BACKGROUND & AIMS: Previously, we showed the inhibitor of differentiation or DNA binding 1 (ID1)/Myc signaling is highly expressed in oxaliplatin-resistant hepatocellular carcinoma (HCC). This study sought to investigate the role of ID1/Myc signaling on immune evasion in oxaliplatin-resistant HCC. METHODS: The oxaliplatin (OXA)-resistant HCC cell lines (Hepa 1-6-OXA, 97H-OXA, and 3B-OXA) were established and their oxaliplatin tolerance was confirmed in vitro and in vivo. The relationship between ID1/Myc and programmed death-ligand 1 (PD-L1) up-regulation and polymorphonuclear myeloid-derived suppressor cell (PMN-MDSC) accumulation was explored. The underlying mechanism in which ID1/Myc signaling regulated PD-L1 expression and PMN-MDSC accumulation was investigated in vitro and vivo. RESULTS: Increased ID1/Myc expression was identified in oxaliplatin-resistant HCC and correlated with PD-L1 up-regulation and PMN-MDSC accumulation. The knockdown of Myc sensitized oxaliplatin-resistant HCC cells to oxaliplatin and resulted in a decrease of PMN-MDSCs and an increase of interferon-γ+ CD8+ T cells in a tumor microenvironment. Polymerase chain reaction array, enzyme-linked immunosorbent assay, and MDSC Transwell migration assay indicated that oxaliplatin-resistant HCC cells recruited PMN-MDSCs through chemokine (C-C motif) ligand 5 (CCL5). The dual luciferase reporter assay and chromatin immunoprecipitation assay indicated that Myc could directly increase the transcriptions of PD-L1 and CCL5. Furthermore, anti-PD-L1 antibody combined with CCL5 blockade showed significant antitumor effects in oxaliplatin-resistant HCC. CONCLUSIONS: ID1/Myc signaling drives immune evasion in oxaliplatin-resistant HCC via PD-L1 up-regulation and PMN-MDSC recruitment. Blocking the ID1/Myc-induced immune tolerance represents a promising treatment target to conquer chemoresistance in HCC.

PVR-A Prognostic Biomarker Correlated with Immune Cell Infiltration in Hepatocellular Carcinoma.

The poliovirus receptor (PVR) is a member of the immunoglobulin superfamily (Ig SF) and is essential for the promotion of cancer cell proliferation and invasion. However, the correlation between PVR expression and prognosis as well as immune infiltration in hepatocellular carcinoma (HCC) remains unclear. The expression level of PVR was quantified using the Tumor and Tumor Immunity Evaluation Resource (TIMER) and Sangerbox. The Gene Expression Omnibus (GEO) database was used to validate the PVR expression. The receiver operating characteristic (ROC) curve was used to evaluate the feasibility of using PVR as a differentiating factor according to the area under curve (AUC) score. A PVR binding protein network was built using the STRING tool. An enrichment analysis using the R package clusterProfiler was used to explore the potential function of PVR. Immune infiltration analysis was calculated with ESTIMATE algorithms. We also assessed the correlation between PVR expression and immune infiltration by the single-sample Gene Set Enrichment Analysis (ssGSEA) method from the R package GSVA and TIMER database. The results showed that PVR was commonly overexpressed in multiple types of tumors including HCC. The data of GSE64041 confirmed the same result. The ROC curve suggested that PVR could be a potential diagnostic biomarker. Additionally, high mRNA expression of PVR in HCC was significantly correlated with poor overall survival (OS) and relapse free survival (RFS). Results also indicated correlations between PVR mRNA expression with the level of infiltration immune cells including B cells, CD8+ T cells, cytotoxic cells, DCs, CD56dim NK cells, pDCs, and Th2 cells. Furthermore, the PVR level was significantly correlated with immune markers for immunosuppressive cells in HCC. In conclusion, PVR might be an important regulator of tumor immune cell infiltration and a valuable prognostic biomarker in HCC. However, additional work is needed to fully elucidate the underlying mechanisms.

An Immune-Related Gene Signature Predicting Prognosis and Immunotherapy Response in Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is inflammation-associated cancer with high incidence and poor prognosis. In the last decade, immunotherapy has become an important strategy for managing HCC. OBJECTIVE: This study aimed to establish an immune-related gene signature for predicting prognosis and immunotherapy response in HCC. METHODS: We identified immune-related differentially expressed genes (IRDEGs) based on The Cancer Genome Atlas (TCGA) database and the Immunology Database and Analysis Portal (ImmPort) database. The weighted gene co-expression network analysis (WGCNA) and Cox proportional hazard model were utilized to determine hub immune-related genes (IRGs). The TIDE tool and R package pRRophetic were used to assess the correlation between the immune-related gene signature and the clinical responses to immunotherapy and chemotherapy. RESULTS: By using WGCNA combined with Cox proportional hazard model, PRC1, TOP2A, TPX2, and ANLN were identified as hub IRGs. The prognostic value of the newly developed gene signature (IRGPI) was demonstrated in both the TCGA database and the Gene Expression Omnibus (GEO) database. The TIDE tool showed that the high- and low-IRGPI groups presented significantly different tumor immune microenvironment and immunotherapy responses. Furthermore, the high-IRGPI group also had significantly lower chemoresistance to cisplatin than the low-IRGPI group. CONCLUSION: The IRGPI is a tool for predicting prognosis as well as responsiveness to immunotherapy and chemotherapy in HCC.

The prognostic significance of microRNA-221 in hepatocellular carcinoma: An updated meta-analysis.

BACKGROUND: Recently, microRNA-221 has been found to be abnormally expressed in hepatocellular carcinoma; however, its clinical value has not been summarised. This meta-analysis aimed to assess the prognostic significance of miR-221 in hepatocellular carcinoma. MATERIAL AND METHODS: PubMed, Science Direct, Web of Science, Scopus, Ovid MEDLINE, EMbase, Google Scholar, the Cochrane Library, CNKI, CBM, VIP and Wanfang databases were searched for eligible articles. The endpoints included overall survival, progression-free survival, recurrence-free survival, metastasis-free survival, disease-free survival. Hazard ratios with 95% confidence intervals were used to explore the relationship between miR-221 expression and clinical survival results of liver cancer patients. Subgroup analysis and sensitivity analysis were performed. Begg's test and Egger's test were conducted to evaluate publication bias. RESULTS: A total of nine studies including 607 patients were recruited for this meta-analysis. The pooled hazard ratios displayed that high miR-221 expression was remarkably associated with poorer overall survival (hazard ratio = 1.91, 95% confidence interval: 1.53-2.38, p ＜ 0.01) and unfavourable progression-free survival/recurrence-free survival/metastasis-free survival/disease-free survival (hazard ratio = 2.02, 95% confidence interval: 1.58-2.57, p ＜ 0.01). The results of Begg's test and Egger's test did not exhibit obvious publication bias. CONCLUSIONS: High expression of miR-221 can predict poor outcome of hepatocellular carcinoma. miR-221 can be used as a promising prognostic biomarker of hepatocellular carcinoma.

A New Scoring Method for Personalized Prognostic Prediction in Patients with Combined Hepatocellular and Cholangiocarcinoma After Surgery.

BACKGROUND AND AIM: Combined hepatocellular and cholangiocarcinoma (cHCC-CCA) is a rare but aggressive primary liver cancer with dismal prognosis. We aim to develop a new scoring method for personalized prognostic prediction in patients with cHCC-CCA undergoing surgical resection. METHODS: Between January 1993 and December 2015, a total of 296 Allen type C cHCC-CCA patients who had received surgical resection in Liver Cancer Institute, Zhongshan Hospital were retrospectively enrolled. A novel prognostic scoring method for cHCC-CCA (PSM-CHCC model) was established and validated. The predictive value of the new model was compared with current prognostic staging systems. RESULTS: The scoring model was developed based on the independent prognostic variables identified by Cox regression model. Based on the PSM-CHCC model, patients were stratified into three prognostic subgroups according to their individual score: A (scoring 0-2), B (scoring 3-5), and C (scoring > 5). The prediction performance of the PSM-CHCC model outperformed the widely accepted TNM staging system and other staging systems in both training and validation cohorts. Subgroup analysis also verified the discrimination efficacy of the PSM-CHCC model. CONCLUSIONS: The newly established PSM-CHCC model may facilitate prognostic stratification and clinical decision-making in patients with cHCC-CCA.

Prognostic significance of preoperative systemic immune-inflammation index in combined hepatocellular-cholangiocarcinoma.

BACKGROUND: Inflammation-based prognostic scores have been increasingly used for prognosis prediction in malignant tumors. However, no existing study has comprehensively evaluated these scores in combined hepatocellular-cholangiocarcinoma (cHCC-CCA). OBJECTIVE: This study aimed to identify a robust inflammation-based prognostic predictor for cHCC-CCA. METHODS: We retrospectively analyzed 220 patients pathologically confirmed as Allen type C cHCC-CCA. The univariate and multivariate analyses were used to explore the associations between clinical variables and prognosis of cHCC-CCA. The propensity score-matching (PSM) was performed to reduce the effects of potential cofounders and selection bias. Finally, the predictive values of different inflammation-based indices were compared by using time-dependent receiver operating characteristic (ROC) curves. RESULTS: The systemic immune-inflammation index (SII) and aspartate aminotransferase to platelet ratio index (APRI) were identified as independent prognostic predictors in multivariate analysis. After PSM, the survival differences were still significant between SII-high group and SII-low group (P= 0.016 for RFS and P= 0.001 for OS). Further ROC analysis showed that the SII harbored the largest 1-, 3- and 5-year area under the curves (AUC) values as compared with other scores. CONCLUSIONS: The SII may serve as a preferable predictor of both recurrence-free survival (RFS) and overall survival (OS) in patients with cHCC-CCA.

Albumin-bilirubin index and platelet-albumin-bilirubin index contribute to identifying survival benefit candidates in patients with hepatocellular carcinoma and Child-Pugh grade A undergoing transcatheter arterial chemoembolization with sorafenib treatment.

BACKGROUND: Combined therapy of transcatheter arterial chemoembolization (TACE) with sorafenib is used for a large number of patients with intermediate-stage or advanced-stage hepatocellular carcinoma (HCC), but its implementation is limited by the evaluation of pre-treatment liver function reserve. This study aimed to validate the performance of the albumin-bilirubin index (ALBI) and platelet-albumin-bilirubin index (PALBI) in predicting survival benefits in patients with HCC and Child-Pugh grade A receiving TACE combined with sorafenib treatment. METHODS: From 2004 to 2018, 418 patients with intermediate/advanced-stage HCC and Child-Pugh grade A receiving TACE combined with sorafenib treatment were retrospectively enrolled. The predictive performance of ALBI and PALBI was explored by survival analysis and receiver operating characteristic curve (ROC) analysis. RESULTS: The median overall survival (mOS) was 24 and 12 months in patients with ALBI grade 1 and grade 2, respectively. The mOS of patients with PALBI grade 1, grade 2, and grade 3 was 23, 16, and 7 months, respectively. The multivariate analysis showed that ALBI grade 2 [hazard ratio (HR) =1.39, 95% confidence interval (CI): 1.11-1.74] and PALBI grade 3 (HR =3.72, 95% CI: 2.26-6.06) were associated with unfavorable prognosis. The ROC analysis revealed that ALBI and PALBI scores had better prediction performance compared with the Child-Pugh score. Subgroup analysis confirmed that by using ALBI or PALBI, patients could be stratified into subgroups with different liver function reserves and distinctive prognosis, regardless of Barcelona Clinic Liver Cancer (BCLC) stage, combination modality, or α-fetoprotein (AFP) levels. CONCLUSIONS: Both ALBI and PALBI could predict prognosis in patients with HCC and Child-Pugh grade A receiving TACE and sorafenib. Patients with ALBI or PALBI grade 1 harbored a more favorable survival outcome compared with those with ALBI or PALBI grade 2-3, and hence should be recommended as the best candidates for TACE combined with sorafenib treatment.

Albumin-to-Alkaline Phosphatase Ratio is an Independent Prognostic Indicator in Combined Hepatocellular and Cholangiocarcinoma.

Background: The clinical significance of Albumin-to-Alkaline Phosphatase Ratio (AAPR) has been discussed in hepatocellular carcinoma (HCC) and cholangiocarcinoma (CC). The aim of this study is to clarify the prognostic value of AAPR in patients with combined hepatocellular and cholangiocarcinoma (cHCC-CCA). Methods: A total of 267 patients pathologically diagnosed as Allen type C cHCC-CCA in our institution were retrospectively enrolled and randomly divided into the training (N=187) cohort and validation (N=80) cohort. The prognostic value of AAPR was evaluated and validated. An AAPR-based nomogram was constructed and its prediction performance was assessed. Results: We identified 0.43 as the optimal threshold value of AAPR by the X-tile software. In the training cohort, the median overall survival (OS) of patients with AAPR < 0.43 was significant shorter than that of those with AAPR ≥ 0.43(15.8 months vs 35 months, respectively, P < 0.001). Univariate and multivariate analyses demonstrated that AAPR was a strong indicator of OS. The concordance index (C-index), receiver operating characteristic (ROC) curves, likelihood ratio tests (LAT), Akaike information criteria (AIC) and decision curve analysis (DCA) demonstrated that AAPR outperformed the Child-Pugh (CP) grade and albumin-bilirubin (ALBI) grade in predicting OS. These findings were further verified in the validation cohort. The AAPR-based nomogram achieved C-index values of 0.76 (95%CI: 0.71-0.81) in the training cohort and 0.69 (95%CI: 0.60-0.78) in the validation cohort, which presented significant superiority to TNM stage. Conclusions: Preoperative AAPR is an independent prognostic predictor in cHCC-CCA. The AAPR-based nomogram contributes to personalized prognosis prediction and clinical decision making for cHCC-CCA.

A Novel Pre-treatment Model Predicting Risk of Developing Refractoriness to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma.

Background and aim: Refractoriness to transarterial chemoembolization is common during the therapeutic process of hepatocellular carcinoma, which is an intractable issue and may compromise the prognosis. We aim to establish a pre-treatment model to identify patients with high risks of refractoriness. Methods: From 2010 to 2016, 824 treatment-naive patients who had initially underwent at least two sessions of transarterial chemoembolization in Zhongshan Hospital, Fudan University were retrospectively enrolled. These patients were randomly allocated into a training cohort and a validation cohort. The pre-treatment scoring model was established based on the clinical and radiological variables using logistic regression and nomogram. The discrimination and calibration of the model were also evaluated. Results: Logistic regression identified vascularization pattern, ALBI grade, serum alpha-fetoprotein level, serum γ-glutamyl transpeptidase level and major tumor size as the key parameters related to refractoriness. The p-TACE model was established using these variables (risk score range: 0-19.5). Patients were divided into six risk subgroups based on their scores (<4, ≥4, ≥7, ≥10, ≥13, ≥16). The discriminative ability, as determined by the area under receiver operating characteristic curve was 0.784 (95% confidence interval: 0.741-0.827) in the training cohort and 0.743 (95% confidence interval: 0.696-0.789) in the validation cohort. Moreover, satisfactory calibration was confirmed by Hosmer-Lemeshow test with P values of 0.767 and 0.913 in the training cohort and validation cohort. Conclusions: This study presents a pre-treatment model to identify patients with high risks of refractoriness after transarterial chemoembolization and shed light on clinical decision making.