Development and validation of a prognostic nomogram for gallbladder cancer patients after surgery

Prognostic utility of the modified albumin-bilirubin score among patients undergoing curative-intent surgery for gallbladder cancer

BACKGROUND

Gallbladder cancer (GBC) has been associated with high rates of recurrence and dismal prognosis even after curative-intent resection. The prognostic utility of the modified albumin-bilirubin (mALBI) score among individuals undergoing curative-intent resection for GBC has not been determined.

METHODS

Patients who underwent radical resection for GBC between 2000 and 2022 were identified from an international, multi-institutional database. Preoperative albumin and bilirubin levels were used to calculate the mALBI score. The relationship among mALBI score, overall survival (OS), and recurrence-free survival (RFS) was examined.

RESULTS

Among 269 patients who underwent radical resection for GBC, 161 (59.9%) had mALBI grade 1, 48 (17.8%) had grade 2a, 47 (17.5%) had grade 2b, and 13 (4.8%) had mALBI grade 3. After surgery, compared with patients with a low mALBI grade (grade 1/2a), individuals with a high mALBI grade (grade 2b/3) had worse 5-year OS (54.4% vs 19.2%, respectively; P < .001) and RFS (42.0% vs 17.8%, respectively; P < .001). On multivariable analysis, after controlling for relevant clinicopathologic variables, individuals with a high mALBI score remained independently associated with higher risks of death and recurrence (OS: hazard ratio [HR], 2.38 [95% CI, 1.50-3.79]; RFS: HR, 2.12 [95% CI 1.41-3.20]) versus patients with a low mALBI score after curative-intent resection for GBC. Of note, mALBI score was associated with incrementally worse survival within T2, T3, and N+ categories, whereas classic American Joint Committee on Cancer subclassifications failed to distinguish patients with long-term survival.

CONCLUSION

The mALBI score presents a simple, objective measure of hepatic functional reserve and may be a useful prognostic tool for patients undergoing curative-intent resection for GBC.

Preoperative MRI-based nomogram to predict survival after curative resection in patients with gallbladder cancer: a retrospective multicenter analysis

PURPOSE

To use preoperative MRI data to construct a nomogram to predict survival in patients who have undergone R0 resection for gallbladder cancer.

METHODS

The present retrospective study included 143 patients (M:F, 76:67; 67.15 years) with gallbladder cancer who underwent preoperative MRI and subsequent R0 resection between 2013 and 2021 at two tertiary institutions. Clinical and radiological features were analyzed using univariate and multivariate Cox regression analysis to identify independent prognostic factors. Based on the multivariate analysis, we developed an MRI-based nomogram for determining prognoses after curative resections of gallbladder cancer. We also obtained calibration curves for 1-,3-, and 5-year survival probabilities.

RESULTS

The multivariate model consisted of the following independent predictors of poor overall survival (OS), which were used for constructing the nomogram: age (years; hazard ratio [HR] = 1.04; 95% confidence interval [CI], 1.04-1.07; p = 0.033); tumor size (cm; HR = 1.40; 95% CI, 1.09-1.79; p = 0.008); bile duct invasion (HR = 3.54; 95% CI, 1.66-7.58; p = 0.001); regional lymph node metastasis (HR = 2.47; 95% CI, 1.10-5.57; p = 0.029); and hepatic artery invasion (HR = 2.66; 95% CI, 1.04-6.83; p = 0.042). The nomogram showed good probabilities of survival on the calibration curves, and the concordance index of the model for predicting overall survival (OS) was 0.779.

CONCLUSION

Preoperative MRI findings could be used to determine the prognosis of gallbladder cancer, and the MRI-based nomogram accurately predicted OS in patients with gallbladder cancer who underwent curative resection.

Machine learning-based short-term DFS-associated characteristic factor screening and model construction for patients with gallbladder cancer after radical surgery

Gallbladder cancer (GBC) is a malignancy with a bleak prognosis, and radical surgery remains the primary treatment option. However, the high postoperative recurrence rate and the lack of individualized risk assessment tools limit the effectiveness of current treatment strategies. This study aims to identify risk factors affecting the short-term disease-free survival (DFS) of GBC patients using machine learning methods and to build a prediction model. A retrospective analysis was conducted on the clinical data from 328 GBC patients treated at the First Affiliated Hospital of Huzhou University from 2008 to 2021. Patients were randomly divided into a training set (n=230) and a validation set (n=98). Clinical data, laboratory indexes, and follow-up data were collected. Univariate Cox regression analysis identified age, tumor T-staging, lymph node metastasis, differentiation degree, and CA199 level as prognostic factors affecting DFS (all P<0.05). A prediction model constructed using the LASSO regression achieved AUCs of 0.827 and 0.801 for predicting 1-year and 3-year DFS, respectively. Notably, the XGBoost regression model showed higher prediction accuracy with AUCs of 0.922 and 0.947, respectively. The Delong test confirmed that the XGBoost model had significantly higher AUC values compared to the LASSO model (all P<0.001). In the validation set, the XGBoost model demonstrated AUCs of 0.764 and 0.761 for predicting 1-year and 3-year DFS, respectively. Overall, the XGBoost regression model demonstrates high accuracy and clinical value in predicting short-term DFS in GBC patients after radical surgery, offering a valuable tool for personalized treatment.

Is the Prognostic Nutritional Index a Novel Prognostic Factor in Patients With Unresectable/Metastatic Gallbladder and Cholangiocarcinoma Receiving Chemotherapy?

Gallbladder and biliary tract tumors are rare but highly fatal cancers. In patients diagnosed with unresectable/metastatic gallbladder cancer and cholangiocarcinomas, systemic chemotherapy is recommended if the patient's performance is good. Randomized studies on this subject are limited, and there is no standard treatment choice. The prognostic nutritional index (PNI) is a measurement calculated using albumin and absolute lymphocyte value, reflecting the immunological and nutritional status of the cancer patient. The aim of our study is to evaluate the prognostic effectiveness of PNI in unresectable/metastatic gallbladder and biliary tract cancers. The PNI was calculated using albumin and lymphocyte values at the time of diagnosis (10 x albumin g/dL + 0.005 x total lymphocyte/mm3). The relationship between PNI and overall survival (OS) and progression-free survival was examined. The prognostic nutritional index means of the patients included in the study was 44.8 (95% CI: 42.9-46.7), and the median was 44.77 (minimum: 22, maximum: 61.4). Receiver operating characteristic (ROC) analysis demonstrated a statistically significant prediction of patients' OS when the prognostic nutritional index was < 44 (AUC: 0.715, sensitivity: 54.8%, specificity: 33.3%; p=0.08). We evaluated the prognostic effectiveness of PNI in the subgroup of patients who could receive chemotherapy. In patients receiving chemotherapy, median survival was found to be 8.93 months in the PNI < 44 groups, while median survival was found to be 12.58 months in the PNI ≥ 44 group. The difference between both groups was statistically significant (p = 0.01). In univariate analysis, the Eastern Cooperative Oncology Group (ECOG) performance status, cancer antigen 19.9 (Ca 19.9), and PNI were statistically significant variables in predicting OS (p < 0.05). In multivariate analysis, the ECOG performance status, cancer antigen 19.9 (Ca 19.9), and PNI were found to be independent factors in predicting OS (p < 0.05). We believe that PNI can be used as a marker to assist the clinician in evaluating the prognosis of patients in the clinic and predicting treatment tolerance.

Construction and validation of the predictive model for gallbladder cancer liver metastasis patients: a SEER-based study

BACKGROUND

The purpose of this present research was to construct a nomograph model to predict prognosis in gallbladder cancer liver metastasis (GCLM) patients so as to provide a basis for clinical decision-making.

METHODS

We surveyed patients diagnosed with GCLM in the Surveillance Epidemiology and the End Results database between 2010 and 2019. They were randomized 7 : 3 into a training set and a validation set. In the training set, meaningful prognostic factors were determined using univariate and multivariate Cox regression analyses, and an individualized nomogram prediction model was generated. The prediction model was evaluated by C-index, calibration curve, ROC curve and DCA curve from the training set and the validation set.

RESULTS

A total of 727 confirmed cases were enrolled in the research, 510 in the training set and 217 in the validation set. Factors including bone metastasis, surgery, chemotherapy and radiotherapy were independent prognostic factors for cancer-specific survival (CSS) rates and were employed in the construction of the nomogram model. The C-index for the training set and validation set were 0.688 and 0.708, respectively. The calibration curve exhibited good consistency between predicted and actual CSS rates. ROC curve and DCA of the nomogram showed superior performance at 6 months CSS, 1-year CSS and 2 years CSS in both the training set and validation set.

CONCLUSION

We have successfully constructed a nomogram model that can predict CSS rates in patients with GCLM. This prediction model can help patients in counseling and guide clinicians in treatment decisions.

Development and validation of an online dynamic prognostic nomogram for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery: a population-based study

Background

Gallbladder cancer is the most common malignant tumor of the biliary system, most of which is adenocarcinoma. Our study explored developing and validating a nomogram to predict overall and cancer-specific survival probabilities internally and externally for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery.

Methods

Patients screened and filtered in the Surveillance, Epidemiology, and End Results (SEER) database, whose years of diagnosis between 2010 and 2015 were collected as a derivation cohort, while those between 2016 and 2019 were a temporal validation cohort. Overall survival (OS) and cancer-specific survival (CSS) were chosen as the primary and secondary endpoints of the retrospective study cohort. Potential clinical variables were selected for a Cox regression model analysis by performing both-direction stepwise selection to confirm the final variables. The performance of final nomograms was evaluated by Harrell's C statistic and Brier score, with a graphical receptor operating characteristic (ROC) curve and calibration curve.

Results

Seven variables of age, race, tumor size, histologic grade, T stage, regional lymph nodes removed, and positive regional lymph nodes were finally determined for the OS nomogram; sex had also been added to the CSS nomogram. Novel dynamic nomograms were established to predict the prognosis of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery. The ROC curve demonstrated good accuracy in predicting 1-, 3-, and 5-year OS and CSS in both derivation and validation cohorts. Correspondingly, the calibration curve presented perfect reliability between the death or cancer-specific death probability and observed death or cancer-specific death proportion in both derivation and validation cohorts.

Conclusion

Our study established novel dynamic nomograms based on seven and eight clinical variables separately to predict OS and CSS of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery, which might assist doctors in advising and guiding therapeutic strategies for postoperative gallbladder adenocarcinoma patients in the future.

Effect of different surgical options on the long-term survival of stage I gallbladder cancer: a retrospective study based on SEER database and Chinese Multi-institutional Registry

BACKGROUND

Gallbladder cancer (GC) is a uncommon and highly malignant tumor. This study compared the effects of simple cholecystectomy (SC) and extended cholecystectomy (EC) on the long-term survival of stage I GC.

METHODS

Patients with stage I GC between 2004 and 2015 in the SEER database were selected. Meanwhile, this study collected the clinical information of patients with stage I GC admitted to five medical centers in China between 2012 and 2022. Using clinical data from patients in the SEER database as a training set to construct a nomogram, which was validated in Chinese multicenter patients. Long-term survival between SC and EC were distinguished using propensity score matching (PSM).

RESULTS

A total of 956 patients from the SEER database and 82 patients from five Chinese hospitals were included in this study. The independent prognostic factors were age, sex, histology, tumor size, T stage, grade, chemotherapy and surgical approach by multivariate Cox regression analysis. We developed a nomogram based on these variables. The nomogram has been proved to have good accuracy and discrimination in internal and external validation. The cancer-specific survival (CSS) and overall survival of patients receiving EC were better than those of SC before and after the propensity score match. The interaction test showed that EC was associated with better survival in patients aged ≥ 67 years (P = 0.015) and in patients with T1b and T1NOS (P < 0.001).

CONCLUSION

A novel nomogram to predict CSS in patients with stage I GC after SC or EC. Compared with SC, EC for stage I GC had higher OS and CSS, especially in specific subgroups (T1b, T1NOS, and age ≥ 67 years).

Textbook outcome in gallbladder carcinoma after curative-intent resection: a 10-year retrospective single-center study

BACKGROUND

Textbook outcome (TO) can guide decision-making among patients and clinicians during preoperative patient selection and postoperative quality improvement. We explored the factors associated with achieving a TO for gallbladder carcinoma (GBC) after curative-intent resection and analyzed the effect of adjuvant chemotherapy (ACT) on TO and non-TO patients.

METHODS

A total of 540 patients who underwent curative-intent resection for GBC at the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2020 were retrospectively analyzed. Multivariable logistic regression was used to investigate the factors associated with TO.

RESULTS

Among 540 patients with GBC who underwent curative-intent resection, 223 patients (41.3%) achieved a TO. The incidence of TO ranged from 19.0% to 51.0% across the study period, with a slightly increasing trend over the study period. The multivariate analysis showed that non-TO was an independent risk factor for prognosis among GBC patients after resection (P =0.003). Age ≤60 years (P =0.016), total bilirubin (TBIL) level ≤34.1 μmol/L (P <0.001), well-differentiated tumor (P =0.008), no liver involvement (P <0.001), and T1-2 stage disease (P =0.006) were independently associated with achieving a TO for GBC after resection. Before and after propensity score matching (PSM), the overall survival outcomes of non-TO GBC patients who received ACT and those who did not were statistically significant; ACT improved the prognosis of patients in the non-TO group (P <0.050).

CONCLUSION

Achieving a TO is associated with a better long-term prognosis among GBC patients after curative-intent resection, and ACT can improve the prognosis of those with non-TO.

Genetic characteristics and clinical-specific survival prediction in elderly patients with gallbladder cancer: a genetic and population-based study

Background

Biliary system cancers are most commonly gallbladder cancers (GBC). Elderly patients (≥ 65) were reported to suffer from an unfavorable prognosis. In this study, we analyzed the RNA-seq and clinical data of elderly GBC patients to derive the genetic characteristics and the survival-related nomograms.

Methods

RNA-seq data from 14 GBC cases were collected from the Gene Expression Omnibus (GEO) database, grouped by age, and subjected to gene differential and enrichment analysis. In addition, a Weighted Gene Co-expression Network Analysis (WGCNA) was performed to determine the gene sets associated with age grouping further to characterize the gene profile of elderly GBC patients. The database of Surveillance, Epidemiology, and End Results (SEER) was searched for clinicopathological information regarding elderly GBC patients. Nomograms were constructed to predict the overall survival (OS) and cancer-specific survival (CSS) of elderly GBC patients. The predictive accuracy and capability of nomograms were evaluated through the concordance index (C-index), calibration curves, time-dependent operating characteristic curves (ROC), as well as area under the curve (AUC). Decision curve analysis (DCA) was performed to check out the clinical application value of nomograms.

Results

Among the 14 patients with GBC, four were elderly, while the remaining ten were young. Analysis of gene differential and enrichment indicated that elderly GBC patients exhibited higher expression levels of cell cycle-related genes and lower expression levels of energy metabolism-related genes. Furthermore, the WGCNA analysis indicated that elderly GBC patients demonstrated a decrease in the expression of genes related to mitochondrial respiratory enzymes and an increase in the expression of cell cycle-related genes. 2131 elderly GBC patients were randomly allocated into the training cohort (70%) and validation cohort (30%). Our nomograms showed robust discriminative ability with a C-index of 0.717/0.747 for OS/CSS in the training cohort and 0.708/0.740 in the validation cohort. Additionally, calibration curves, AUCs, and DCA results suggested moderate predictive accuracy and superior clinical application value of our nomograms.

Conclusion

Discrepancies in cell cycle signaling and metabolic disorders, especially energy metabolism, were obviously observed between elderly and young GBC patients. In addition to being predictively accurate, the nomograms of elderly GBC patients also contributed to managing and strategizing clinical care.

Effects of surgery on survival of elderly patients with gallbladder cancer: A propensity score matching analysis of the SEER database

Background

Surgery is the sole curative therapy for gallbladder cancer (GBC) patients. Confronting an aging society, the demand to treat elderly patients with GBC is increasing. But there are few reports on survival benefit in elderly GBC patients treated with surgery. Therefore, we designed this population-based study to assess the survival benefit of surgery in GBC patients aged 70 years or older.

Methods

GBC patients aged 70 years or older were identified in the surveillance, epidemiology, and end results cancer (SEER) database from 2010 to 2017. A 1:1 propensity score matching (PSM) analysis was conducted to balance the baseline data of patients. Overall survival (OS) and cancer-specific survival (CSS) of patients were evaluated by Kaplan-Meier analysis and compared with log-rank test. Independent risk factors associated with OS and CSS were determined by univariate and multivariate Cox proportional hazard regression analyses and subgroup analysis were performed.

Results

A total of 2055 GBC patients aged 70 years or older were included in our study, with 1734 patients underwent surgery. Before PSM, the age, AJCC stage, TNM stage, and chemotherapy were significantly different between the surgery and no-surgery group (all P<0.05). Patients with surgery had significantly longer OS and CSS than those without surgery (P<0.0001). After 1:1 PSM, the differences in clinicopathological characteristics were reduced (all P>0.05). Kaplan-Meier analysis also showed patients received surgery had significantly better OS and CSS (P<0.0001). Subgroup analysis further indicated that almost all subgroups received surgery had OS and CSS advantage, especially patients aged 70-84 years old. Finally, univariate and multivariate COX regression analyses showed that age, AJCC stage and T stage were independent prognostic factors for OS and CSS in patients undergoing surgery.

Conclusion

Our study found that surgery significantly improved OS and CSS in GBC patients aged 70-84 years, but more prospective studies are needed to prove our findings.

Development and validation of a nomogram for predicting Mycoplasma pneumoniae pneumonia in adults

The study aimed to explore predictors of Mycoplasma pneumoniae pneumonia (MPP) in adults and develop a nomogram predictive model in order to identify high-risk patients early. We retrospectively analysed the clinical data of a total of 337 adult patients with community-acquired pneumonia (CAP) and divided them into MPP and non-MPP groups according to whether they were infected with MP. Univariate and multivariate logistic regression analyses were used to screen independent predictors of MPP in adults and to developed a nomogram model. Receiver operating characteristic (ROC) curve, calibration curve, concordance index (C-index), and decision curve analysis (DCA) were used for the validation of the evaluation model. Finally, the nomogram was further evaluated by internal verification. Age, body temperature, dry cough, dizziness, CRP and tree-in-bud sign were independent predictors of MPP in adults (P < 0.05). The nomogram showed high accuracy with C-index of 0.836 and well-fitted calibration curves in both the training and validation sets. The area under the receiver operating curve (AUROC) was 0.829 (95% CI 0.774-0.883) for the training set and 0.847 (95% CI 0.768-0.925) for the validation set. This nomogram prediction model can accurately predict the risk of MPP occurrence in adults, which helps clinicians identify high-risk patients at an early stage and make drug selection and clinical decisions.

Cancer-specific survival and metastasis in pancreatic mucinous cystadenocarcinoma: A SEER-based cohort study

Aims

This study aimed to investigate the prognostic value of clinical features for cancer-specific survival (CSS) and metastasis in patients with pancreatic mucinous cystadenocarcinoma (MCAC). We further constructed and validated an effective nomogram to predict CSS.

Methods

We screened patients diagnosed with pancreatic MCAC from Surveillance Epidemiology and End Results (SEER) database. Kaplan-Meier curves were used to determine the CSS time. Univariate and multivariate Cox and logistic regression analyses were conducted to identify the prognostic factors for CSS and metastasis. The nomogram was constructed to predict the prognosis of pancreatic MCAC based on the results from the multivariate analysis. We used the concordance index (C-index), the area under the curve (AUC), and the calibration plots to determine the predictive accuracy and discriminability of the nomogram.

Results

Multivariate Cox analysis revealed that age, primary site, grade, and radiotherapy were independent prognostic factors associated with CSS. Multivariate logistic regression analysis revealed that surgery and grade were independent risk factors associated with metastasis. The independent risk factors were included to construct a prognosis prediction model for predicting CSS in patients with pancreatic MCAC. The concordance index (C-index), receiver operating characteristic (ROC) curves, and calibration plots of the training cohort and the validation cohort showed that the nomogram had an acceptable predictive performance.

Conclusion

We established a nomogram that could determine the 3- and 5-year CSS, which could evaluate individual clinical outcomes and provide individualized clinical decisions.

Novel immune scoring dynamic nomograms based on B7-H3, B7-H4, and HHLA2: Potential prediction in survival and immunotherapeutic efficacy for gallbladder cancer

Background

Gallbladder cancer (GBC) is a mortal malignancy with limited therapeutic strategies. We aimed to develop novel immune scoring systems focusing on B7-H3, B7-H4, and HHLA2. We further investigated their potential clinical effects in predicting survival and immunotherapeutic efficacy for GBC.

Methods

This was a retrospective cohort study in a single center that explored the expression characteristics of B7-H3, B7-H4, and HHLA2. The immune scoring nomograms for prognostic were developed via logistic regression analyses. Their performance was evaluated using the Harrell concordance index (C-index) and decision curves analysis (DCA), and validated with calibration curves.

Results

B7-H3, B7-H4, and HHLA2 manifested with a relatively high rate of co-expression patterns in GBC tissues. They were associated with worse clinicopathological stage, suppression of immune microenvironment, and unfavorable prognosis in postoperative survival. B7 stratification established based on B7-H3, B7-H4, and HHLA2 was an independent prognostic predictor (p&lt;0.05 in both groups). Moreover, immune stratification was also successfully constructed based on B7 stratification and the density of CD8+ TILs (all p&lt;0.001). The prediction models were developed based on B7-/or immune stratification combined with the TNM/or Nevin staging system. These novel models have excellent discrimination ability in predicting survival and immunotherapeutic efficacy for GBC patients by DCA and clinical impact plots. Finally, dynamic nomograms were developed for the most promising clinical prediction models (B7-TNM model and Immune-TNM model) to facilitate prediction.

Conclusions

Immune scoring systems focusing on B7-H3, B7-H4, and HHLA2 may effectively stratify the prognosis of GBC. Prognostic nomograms based on novel immune scoring systems may potentially predict survival and immunotherapeutic efficacy in GBC. Further valid verification is necessary.

HHLA2 promotes tumor progression by long non‑coding RNA H19 in human gallbladder cancer

Advanced gallbladder cancer (GBC) is one of the most malignant of all types of biliary tract cancers that is associated with poor prognosis and high mortality. Accumulating evidence suggest that the B7 family of proteins serve an essential role in various types of cancers, including GBC. However, the potential function and regulatory mechanism of human endogenous retrovirus-H long terminal repeat-associating protein 2 (HHLA2; also known as B7-H7 or B7H5) in GBC remain poorly understood. In the present study, immunohistochemistry was used to examine the expression pattern of HHLA2 in samples from 89 patients with GBC. The possible association between HHLA2 expression and the clinicopathological parameters, including prognosis, were then assessed. Using lentiviruses, overexpression of HHLA2 plasmid or short-hairpin RNA (shRNA) of HHLA2 were transfected into GBC-SD cells to overexpress or knock down HHLA2 expression, respectively. The effects of HHLA2 overexpression and knockdown on the epithelial-mesenchymal transition (EMT) process on GBC-SD cells were measured by the western blotting and immunofluorescence staining of collagen I, N-cadherin, E-cadherin, vimentin and α-SMA. By contrast, changes in cell proliferation were measured using EdU assay. Cell invasion and migration were assessed using Transwell and wound-healing assays, respectively. In addition, a xenograft mouse model was established to evaluate the tumorigenic ability of the GBC cell line in vivo after stable transfection with lentivirus for HHLA2 overexpression or shRNA for HHLA2 knockdown. The regulatory relationships among TGF-β1, long non-coding RNA (lncRNA) H19 (H19) and HHLA2 were then investigated. The mRNA expression of lncRNA H19 were assessed using reverse transcription-quantitative PCR, whereas the expression levels of HHLA2 were detected by western blotting and immunofluorescence staining. HHLA2 expression was found to gradually increase as the stages of the GBC samples become more advanced. In addition, the expression level of HHLA2 was calculated to be positively associated with the Nevin stage, American Joint Committee on Cancer stage, tumor invasion and regional lymph node metastasis but was negatively associated with the overall patient survival (OS). In vitro experiments demonstrated that overexpression of HHLA2 promoted GBC migration, invasion, proliferation and EMT, whereas in vivo experiments found a promoting role of HHLA2 overexpression on GBC tumor growth. After transfection with lentiviruses encoding the overexpression plasmid of lncRNA H19, GBC migration, invasion, proliferation and EMT were increased. By contrast, knocking down HHLA2 expression suppressed TGF-β1- or lncRNA H19 overexpression-induced GBC migration, invasion, proliferation and EMT. In addition, HHLA2 knockdown significantly reduced the sizes of the GBC tumors in vivo. These results suggest that HHLA2 overexpression can promote GBC progression. Conversely, ablation of HHLA2 expression inhibited both TGF-β1- and lncRNA H19-induced GBC progression, suggesting that HHLA2 is a potential therapeutic target for this disease.