Biomarker For Gallbladder Cancer Research Articles

Honokiol inhibits gallbladder cancer proliferation and epithelial mesenchymal transformation by suppressing TMPRSS4-induced PI3K/AKT activation

Purpose: To determine the role of TMPRSS4 in gallbladder cancer (GBC).
 Methods: Quantitative reverse-transcription-polymerase chain reaction (qRT-PCR) and western blotting were used to evaluate the expression of genes, while CCK-8 kit and foci formation assay were used to assess cell growth in GBC-SD and non-obliterative zone (NOZ) cell lines. Cell apoptosis was evaluated by flow cytometry, while cell migration and cell invasion were determined by Transwell assay in GBCSD and NOZ cell lines.
 Results: TMPRSS4 was highly expressed in GBC cells, compared to normal cell, HIBEC. Overexpression of TMPRSS4 enhanced cell viability and 2D foci formation in GBC-SD (stratified) and NOZ; however, knockdown of TMPRSS4 reduced cell proliferation and colony formation in the cell lines (p < 0.05). TMPRSS4 deficiency increased cell apoptosis but its reinforced expression decreased cell apoptosis in GBC cell lines (p < 0.05). Moreover, TMPRSS4 positively regulated cell invasion and migration in GBC cells by upregulating TWIST1, vimentin and N- cadherin. TMPRSS4 also regulated the activation of PI3K/AKT signal pathway. Furthermore, honokiol inhibited gallbladder cancer proliferation and migration, and induced cell apoptosis by suppressing TMPRSS4-induced PI3K/AKT activation (p < 0.05).
 Conclusion: TMPRSS4 plays an important role in regulating cell growth, apoptosis and metastasis of gallbladder cancer cells (GBC). Thus, TMPRSS4 might be a new biomarker in gallbladder cancer.

Serum CA 242 as Potential Diagnostic Biomarker in Gallbladder Cancer: A Cross Sectional Study

Serum CA 242 as Potential Diagnostic Biomarker in Gallbladder Cancer: A Cross Sectional Study

Downregulation of desmoglein 2 promotes EMT progression in gallbladder cancer.

To explore the correlation between the expression level of Desmoglein 2 (DSG2) and the epithelial-mesenchymal transition (EMT) progression in gallbladder cancer (GBC). 106 GBC tissue specimens and corresponding clinical information were collected to make a tissue microarray. Immunohistochemical method was used to test the expression level of DSG2 in GBC tissues. DSG2 was knocked down in the GBC cell line GBC-SD to detect the change of its invasion and metastasis ability. Then RT-qPCR and Western Blot were applied on the DSG2-knocked down GBC-SD cells to detect the expression level change of genes associated with EMT. The high expression rate of DSG2 was significantly correlated with the N, M and TNM staging of patients (P<0.05). Survival analysis identified that GBC patients with high DSG2 expression level had significantly better survival (P<0.05). To further investigate the potential mechanism of DSG2 on regulating GBC tumor progression, we used knockdown DSG2 on GBC-SD cell lines. The results showed that GBC-SD cell lines with DSG2 knockdown showed a promotion of cell invasion and metastatic ability. The mRNA levels of EMT-related genes E-Cadherin, Snail, Twist, ZEB1, and β-catenin, which is a key protein in the Wnt signaling pathway, were also significantly altered. Besides, protein levels of E-cadherin and Snail showed consistent results. The downregulation of DSG2 in gallbladder cancer is hypothesized to be associated with the invasion and metastasis progression of gallbladder cancer cells by regulating EMT-related pathways. Its expression level can be a novel biomarker for gallbladder cancer, providing new perspectives for diagnosis and treatment strategies.

Circulating miR-141 as a potential biomarker for diagnosis, prognosis and therapeutic targets in gallbladder cancer

MicroRNA-141(miR-141) has been reported to play vital roles in the regulation of carcinogenesis and cancer progression. However, the biological function of miR-141 in GBC has received less attention. The aim of this study was to estimate the potential value of the expression level of miR-141 as a diagnostic and prognostic blood-based biomarker in gallbladder cancer (GBC) patients. Meanwhile, to explore its biological role in GBC cells. RT-PCR was employed to confirm the expression of miR-141 in ten paired tissue samples (10 GBC tissues and 10 adjacent normal gallbladder tissues), GBC cell lines and peripheral blood specimens from 98 GBC patients and 60 healthy controls. MTT assay was used to evaluate the GBC cells proliferation and flow cytometry was used to detect the cell apoptosis. Receiver operating characteristic curve analysis and the area under the curve (AUC) were used to evaluate the value of miR-141 plasma levels for GBC diagnosis. Finally, clinicopathological and survival data of all GBC patients were collected and analyzed. Here, we confirmed that the expression of miR-141 were upregulated in primary gallbladder cancer cells and tissues compared with human gallbladder epithelial cells and adjacent normal tissues (P < 0.0001). Meanwhile, we found that downregulated expression of miR-141 by miR-141 inhibitor could induce apoptosis and inhibit proliferation of GBC cells. Additionally, elevated plasma miR-141 expression was also detected in the peripheral blood of GBC patients compared with healthy controls (P < 0.0001). The AUC value of miR-141 for GBC diagnosis was 0.894 (95% CI 0.843–0.945), which was more valuable than those including carcinoembryonic antigen (CEA) (0.713, 95% CI 0.633–0.793), carbohydrate antigen 125 (CA125) (0.837, 95% CI 0.776–0.899) and carbohydrate antigen 19–9 (CA19-9) (0.869, 95% CI 0.813–0.924). The high expression level of miR-141 in plasma was significantly associated with tumor invasion (P = 0.008), lymph node metastasis (P < 0.0001) and advanced pathologic tumor/node/metastasis (pTNM) stage (P = 0.009). More importantly, high plasma miR-141 expression was an independent prognostic factor for predicting poorer long-term survival in GBC patients. Elevated expression of circulating miR-141 in peripheral blood might be a potential novel biomarker for diagnosis and prognosis of GBC patients. Downregulated expression of miR-141 could inhibit proliferation and induce apoptosis of GBC cells, that provide a potential therapeutic target for GBC.

Abstract 1944: Prognostic biomarkers for gallbladder cancer: A machine learning approach

Abstract Gallbladder cancer (GBC) is one of the deadliest cancers, with a 5-year-survival-rate of less than 5 percent for late-stage disease. The response rate to chemotherapy among GBC patients is generally poor. Recent research has attempted to identify diagnostic, prognostic, and predictive biomarkers, however, currently, no biomarkers can accurately diagnose GBC and predict patients’ prognosis. Integrative analysis of molecular and clinical characterization has not been fully established, and minimal improvement has been made to the survival of these patients, in part due to the heterogeneity of GBC. Machine learning techniques have been proven to empower analysis of big data in oncology, allowing for improvement in the generation of biomarkers to predict patient outcomes. Using machine learning, we can utilize high-throughput RNA sequencing with clinicopathologic data to develop a predictive tool for GBC prognosis. Current predictive models for GBC outcomes often utilize clinical data only, with the highest C-statistic reported being 0.71. C-statistic values over 0.7 generally indicate good models, however 0.8 is the threshold for strong predictive models. We aim to build a superior algorithm to predict overall survival in GBC patients with advanced disease, using machine learning approaches to prioritize biomarkers for GBC prognosis. We have identified over 80 fresh frozen GBC tissue samples from Mayo Clinic Rochester, Dongsan Medical Center in Daegu, Korea, University of the Witwatersrand, in Johannesburg, South Africa, Lithuanian University of Health Science in Vilnius, Lithuania, and University of Calgary in Calgary, Canada, from patients enrolled between 2012 and 2021. We will perform next-generation RNA sequencing on these tissue samples. The patients’ clinical, pathologic and survival data will be abstracted from the medical record uniformly across sites. Feature engineering and dimensionality reduction will be performed. Then random forests, support vector machines, and gradient boosting machines will be applied to train the data. Variable importance will prioritize multi-omic markers. Standard 5-fold cross validation will be used to assess performance of each ML algorithm. If overall survival can be better predicted with the addition patients’ transcriptional sequencing data compared to using clinical profiles alone, we can gain a greater understanding of key biomarkers driving the tumor phenotype. Citation Format: Linsey Jackson, Loretta Allotey, Valles Kenneth, Gavin Oliver, Asha Nair, Daniel O'Brien, Rondell Graham, Mitesh Borad, Arjun Athreya, Lewis Roberts. Prognostic biomarkers for gallbladder cancer: A machine learning approach [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1944.

Calreticulin: a potential diagnostic and therapeutic biomarker in gallbladder cancer.

Recent studies suggested that calreticulin (CRT) has an important role in the progression of various types of cancer. Our previous study suggested that CRT was upregulated and acted as an oncogene in hepatocellular carcinoma. However, the role of CRT in gallbladder cancer (GBC) remains unclear. The expression level of CRT was upregulated in GBC tissues in comparison with adjacent non-tumor tissues and chronic cholecystitis tissues. Moreover, CRT expression was found to be correlated with the tumor size. Knockdown of CRT inhibited cell proliferation, induced apoptosis, arrested cell cycle and resulted in decreased resistance to gemcitabine, which was mediated by the inactivation of the PI3K/Akt pathway. Collectively, the present results suggested a potential role of CRT in GBC progression and provided novel insights into the mechanism underlying the CRT-mediated chemosensitivity in GBC cells.

Modulation of mTOR and epigenetic pathways as therapeutics in gallbladder cancer

Gallbladder cancer (GBC) is the most common malignancy of the biliary tract, with extremely dismal prognosis. Limited therapeutic options are available for GBC patients. We used whole-exome sequencing of human GBC to identify the ErbB and epigenetic pathways as two vulnerabilities in GBC. We screened two focused small-molecule libraries that target these two pathways using GBC cell lines and identified the mTOR inhibitor INK-128 and the histone deacetylase (HDAC) inhibitor JNJ-26481585 as compounds that inhibited proliferation at low concentrations. Both significantly suppressed tumor growth and metastases in mouse models. Both synergized with the standard of care chemotherapeutic agent gemcitabine in cell lines and in mouse models. Furthermore, the activation of the mTOR pathway, measured by immunostaining for phosphorylated mTOR and downstream effector S6K1, is correlated with poor prognosis in GBC. Phosphorylated mTOR or p-S6K1 in clinical samples is an independent indicator for overall survival in GBC patients. Taken together, our findings suggest that mTOR inhibitors and HDAC inhibitors can serve as potential therapeutics for GBC, and the phosphorylation of mTOR and S6K1 may serve as biomarkers for GBC.

Circular RNA circ-MTO1 serves as a novel potential diagnostic and prognostic biomarker for gallbladder cancer.

Primary gallbladder carcinoma (GBC) is one of the most common biliary malignancies in the gastrointestinal tract. In this work, we examined the roles of circular-mitochondrial translation optimization 1 (circ-MTO1) in GBC tissues and patient plasma. Circ-MTO1 expression in GBC tissues and patient plasma was evaluated by quantitative Real Time-PCR (qRT-PCR). The relationships between circ-MTO1 expression and the pathological characteristics of GBC were analyzed. Kaplan-Meier survival curve was applied to calculate overall survival (OS) and progression-free survival (PFS) in GBC patients with different circ-MTO1 expression. The univariate COX regression curve analysis method was employed to analyze the potential relationships between high circ-MTO1 expression and OS and PFS. At last, we assessed the diagnostic value of the circ-MTO1 level in GBC patient plasma. Circ-MTO1 expression was significantly upregulated in tumor tissues and plasma in GBC patients. In addition, circ-MTO1 expression was associated with clinical-pathological characteristics in GBC. High circ-MTO1 expression served as an independent prognostic factor for poor OS and PFS in GBC patients. Moreover, upregulated plasma circ-MTO1 level was significantly associated with tumor development. Circ-MTO1 is a potential early diagnostic and prognostic biomarker for patients with gallbladder cancer. Thus, our present work might provide a new understanding of the diagnosis and treatment of GBC.

Evaluation of platelet distribution width as novel biomarker in gall bladder cancer.

INTRODUCTION:Gall bladder cancer (GBC) tends to present in advanced stages, therefore, early diagnosis of GBC is necessary. There is no ideal single tumor marker available presently for the diagnosis and prognosis of GBC. Platelet distribution width (PDW) is an early marker for activated platelets and has been used in a variety of tumors to assess prognosis. This study was designed to evaluate the utility of PDW in identifying GBC patients and its association with tumor markers, staging and resectability of GBC.MATERIALS AND METHODS:This cross sectional study was done on 100 patients of GBC and 100 age- and sex- matched healthy controls. PDW was evaluated and compared between GBC and healthy controls. Receiver-operating characteristics was plotted to determine optimal cut-off for identifying GBC patients and to determine sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PDW. Correlation between serum tumor markers (carbohydrate antigen 19-9, carcinoembryonic antigen, and carbohydrate antigen 125) and PDW were evaluated. Association of PDW with hyperbilirubinemia, staging and resectability of GBC was also studied.RESULTS:A significantly higher PDW with a median of 18.1 was observed in GBC as compared to healthy controls with median value of 13. PDW was found to have a very high sensitivity (90%), specificity (95%), PPV (94%) and NPV (90%) in identifying GBC at cut-off of 16 with area under the curve (AUC) of 0.97. An increase of PDW was observed with increasing stage and unresectable GBC. However, it was not statistically significant. Significant positive correlation was observed between PDW and all three serum tumor markers and good positive correlation with r = 0.61 was observed with CA 19-9.CONCLUSION:PDW was associated with GBC and may be considered as a cost- effective marker in adjunct to other investigations for the diagnosis of GBC.

Identification of S100 calcium binding protein A9 as a prognostic biomarker in gallbladder cancer

BackgroundGallbladder cancer (GBC) is the most lethal orphan malignancy of biliary tract, with poor prognosis and varied global incidences, predominately reported from, Northern India. Moreover, early diagnostic biomarker(s) of GBC is still undetermined. Earlier studies have demonstrated that S100A9 is associated with the prognosis of various malignancies. S100A9 (calgranulin B or Myeloid Related Protein-14) is a calcium binding protein which has wide range of possible intracellular as well as extracellular functions. Previous reports showed that S100A9 stimulates malignant development and cancer progression, and is also involved in other inflammatory diseases. So far, no study has been made on the expression and epigenetic regulation of S100A9 in GBC. Therefore, the present study aimed to investigate the expression and promoter methylation status of S100A9 in GBC to evaluate its utility as a diagnostic biomarker for GBC. Materials and methodMethylation specific PCR (MS-PCR) was done to determine the methylation status of S100A9 gene promoter. Semi quantitative and quantitative RT-PCR were performed to assess its expression level in tumor and non tumor tissues. Immunohistochemistry (IHC) was carried out to understand its cellular distribution. Statistical analysis was performed using student’s t-test for paired case and control tissue samples, and one way ANOVA for multiple comparison procedures. ResultsMS-PCR of S100A9 showed methylation (p =0.022) in the promoter region of about i.e.,75% (9/12) in adjacent non tumor (ANT) tissues and about 25% (3/12) in GBC cases. RT-PCR analyses revealed upregulation of S100A9 in GBC at transcriptional level. IHC analysis further supported the change in the transcriptional level, scored positive for S100A9 (62%; 36/58), in GBC and about (40%; 12/30) in non tumor (p <0.048). ConclusionThe study shows that elevated expression and hypomethylation in the S100A9 gene promoter suggesting that DNA methylation plays a crucial role in the regulation of S100A9 expression in GBC. However, further studies are warranted to confirm this in larger pool of samples before concluding its usefulness as a biomarker of GBC.

IL17 producing γδT cells induce angiogenesis and are associated with poor survival in gallbladder cancer patients.

Despite conventional treatment modalities, gallbladder cancer (GBC) remains a highly lethal malignancy. Prognostic biomarkers and effective adjuvant immunotherapy for GBC are not available. In the recent past, immunotherapeutic approaches targeting tumor associated inflammation have gained importance but the mediators of inflammatory circuit remain unexplored in GBC patients. In the current prospective study, we investigated the role of IL17 producing TCRγδ(+) (Tγδ17), CD4(+) (Th17), CD8(+) (Tc17) and regulatory T cells (Tregs) in pathogenesis of GBC. Analysis by multi-color flow cytometry revealed that compared to healthy individuals (HI), Tγδ17, Th17 and Tc17 cells were increased in peripheral blood mononuclear cells (PBMCs) and tumor infiltrating lymphocytes (TIL) of GBC patients. Tregs were decreased in PBMCs but increased in TILs of GBC patients. The suppressive potential of Tregs from GBC patients and HI were comparable. Serum cytokines profile of GBC patients showed elevated levels of cytokines (IL6, IL23 and IL1β) required for polarization and/or stabilization of IL17 producing cells. We demonstrated that Tγδ17 cells migrate toward tumor bed using CXCL9-CXCR3 axis. IL17 secreted by Tγδ17 induced productions of vascular endothelial growth factor and other angiogenesis related factors in GBC cells. Tγδ17 cells promote vasculogenesis as studied by chick chorioallantoic membrane assay. Survival analysis showed that Tγδ17, Th17 and Treg cells in peripheral blood were associated with poor survival of GBC patients. Our findings suggest that Tγδ17 is a protumorigenic subtype of γδT cells which induces angiogenesis. Tγδ17 may be considered as a predictive biomarker in GBC thus opening avenues for targeted therapies.

Different Expression of S100A8 in Malignant and Benign Gallbladder Diseases

Proteomic analysis is a powerful tool for complete establishment of protein expression. Comparative proteomic analysis of human bile from malignant and benign gallbladder diseases may be helpful in research into gallbladder cancer. Our objective was to establish biliary protein content for gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis for comparative proteomic analysis. Bile samples were collected from patients with gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis. Peptides of biliary proteins were separated by two-dimensional liquid chromatography then identified by tandem mass spectrometry. Up to 544, 221, and 495 unique proteins were identified in bile samples from gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis. Forty-three, 16, and 28 proteins with more than one unique peptide, respectively, were identified in the three groups. Among these, 30 proteins including S100A8 were overexpressed in gallbladder cancer, compared with benign gallbladder diseases. We also confirmed, by immunohistochemical analysis, that S100A8 is more abundant in tumor-infiltrating immune cells in cancerous tissue. Compared with benign gallbladder diseases, consistently elevated S100A8 levels in malignant gallbladder bile and tissue indicate that gallbladder cancer is an inflammation-associated cancer. S100A8 may be a biomarker for gallbladder cancer.

DNA promoter methylation as a diagnostic and therapeutic biomarker in gallbladder cancer

Gallbladder cancer is an infrequent neoplasia with noticeable geographical variations in its incidence around the world. In Chile, it is the main cause of death owing to cancer in women over 40 years old, with mortality rates up to 16.5 per 100,000 cases. The prognosis is poor with few therapeutic options; in advanced cases there is only a 10% survival at 5 years.Several studies mention the possible role of DNA methylation in gallbladder carcinogenesis. This epigenetic modification affects tumor suppressor genes involved in regulation pathways, cell cycle control, cell adhesion and extracellular matrix degradation, in a sequential and cumulative way. Determining DNA methylation patterns would allow them to be used as biomarkers for the early detection, diagnosis, prognosis and/or therapeutic selection in gallbladder cancer.

Diagnosis of Gallbladder Cancer Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Profiling

:Proteomic fingerprint technology combining magnetic beads with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was used to profile and compare the serum proteins from 45 patients with gallbladder cancer and 50 healthy blood donors. The proteomic patterns were identified; the tree model of biomarkers was constructed and evaluated using the Biomarker Patterns Software. The model tree was constructed based on the 3 biomarkers (5913 Da, 6181 Da and 13,752 Da), which generated excellent separation between the gallbladder cancer and control groups. The sensitivity was 86.7% and the specificity was 93.3%. The blind test data showed a sensitivity of 80% and a specificity of 90%. Taken together, our studies suggested that biomarkers for gallbladder cancer could be discovered in serum by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with the use of magnetic beads. The pattern of combined markers would provide a powerful and reliable diagnostic method for gallbladder cancer with high sensitivity and specificity.

Serial Analysis of Gene Expression Identifies Connective Tissue Growth Factor Expression as a Prognostic Biomarker in Gallbladder Cancer

Gallbladder cancer (GBC) is an uncommon neoplasm in the United States, but one with high mortality rates. This malignancy remains largely understudied at the molecular level such that few targeted therapies or predictive biomarkers exist. We built the first series of serial analysis of gene expression (SAGE) libraries from GBC and nonneoplastic gallbladder mucosa, composed of 21-bp long-SAGE tags. SAGE libraries were generated from three stage-matched GBC patients (representing Hispanic/Latino, Native American, and Caucasian ethnicities, respectively) and one histologically alithiasic gallbladder. Real-time quantitative PCR was done on microdissected epithelium from five matched GBC and corresponding nonneoplastic gallbladder mucosa. Immunohistochemical analysis was done on a panel of 182 archival GBC in high-throughput tissue microarray format. SAGE tags corresponding to connective tissue growth factor (CTGF) transcripts were identified as differentially overexpressed in all pairwise comparisons of GBC (P < 0.001). Real-time quantitative PCR confirmed significant overexpression of CTGF transcripts in microdissected primary GBC (P < 0.05), but not in metastatic GBC, compared with nonneoplastic gallbladder epithelium. By immunohistochemistry, 66 of 182 (36%) GBC had high CTGF antigen labeling, which was significantly associated with better survival on univariate analysis (P = 0.0069, log-rank test). An unbiased analysis of the GBC transcriptome by SAGE has identified CTGF expression as a predictive biomarker of favorable prognosis in this malignancy. The SAGE libraries from GBC and nonneoplastic gallbladder mucosa are publicly available at the Cancer Genome Anatomy Project web site and should facilitate much needed research into this lethal neoplasm.