Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE39791 | GEO | 2014/11/03
SECONDARY ACCESSION(S): PRJNA171712
REPOSITORIES: GEO
Similar Datasets
Project description:While we and others have uncovered and validated several genomic predictors for metastatic recurrences, a molecular or genomic predictor that can reliably identify high-risk patients for late de novo recurrence has not been firmly established. We analyzed previously reported gene expression data from human livers that underwent partial hepatectomy or transplantation, which were representative physiological conditions that trigger liver regeneration signals. We generated gene expression data from tumor and matched non-tumor surrounding tissues of 72 hepatocellular carcinoma (HCC) patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for recurrence of HCC after surgery. We generated gene expression data from tumor and matched non-tumor surrounding tissues of 72 HCC patients who underwent surgical resection as the primary treatment.
2014-11-03 | E-GEOD-39791 | biostudies-arrayexpress
Project description:BACKGROUND & AIMS: Expression of microRNAs (miRNAs) in metastatic foci of hepatocellular carcinoma (HCC) is unknown. We identified metastasis-related miRNAs in recurrent cases after living donor liver transplantation (LDLT). Methods: We performed a comprehensive analysis of primary HCC (T), noncancerous liver (N), and resected recurrent (metastatic) HCC (M) using microarray analyses to identify metastasis-related miRNAs in in three patients with post-transplant recurrence. The RNA samples from three cases that underwent resection of recurrences after LDLT were made available for miRNA microarray analysis. The three cases included a 57-year-old man (case 1) with peritoneal recurrence and infected by hepatitis B virus (HBV), and a 48-year-old woman (case 2) and a 51-year-old man (case 3) with lung recurrences and hepatitis C virus (HCV) infection. Microarray analysis was performed for each RNA sample from the (T), (N) in the explanted liver, and (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control. The RNA samples from three cases that underwent resection of recurrences after living donor liver transplantation were made available for microRNA microarray analysis. Microarray analysis was performed for each RNA sample from the primary HCC (T), noncancerous liver (N) in the explanted liver, and resected recurrent metastatic HCC (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control.
2013-10-25 | E-GEOD-41874 | biostudies-arrayexpress
Project description:Purpose: Several risk factors for local recurrence of breast cancer after breast conserving therapy (BCT) have been identified. The identification of additional risk factors would be very useful in guiding optimal therapy and also improve understanding of the mechanisms underlying local recurrence. We used cDNA microarray analysis to identify gene expression profiles associated with local recurrence. Experimental Design: Using 18K cDNA microarrays, gene expression profiles were obtained from 50 patients who underwent BCT. Of these 50 patients 19 developed a local recurrence; the remaining 31 patients were selected as controls as they were free of local recurrence at least 11 years after treatment. For 9/19 patients also the local recurrence was available for gene expression profiling. Unsupervised and supervised methods of classification were used to separate patients in groups corresponding to disease outcome and to study the overall gene expression pattern of primary tumors and their recurrences. Results: Hierarchical clustering of patients did not show any grouping reflecting local recurrence status. Supervised analysis revealed no significant set of genes that was able to distinguish recurring tumors from non-recurring tumors. Paired-data analysis of primary tumors and local recurrences showed a remarkable similarity in gene expression profile between primary tumors and their recurrences. Conclusions: No significant differences in gene expression between primary breast cancer tumors in patients with or without local recurrence after breast conserving therapy were identified. Furthermore, analyses of primary tumors and local recurrences show a preservation of the overall gene expression pattern in the local recurrence, even after radiotherapy. Keywords: gene expression profiling
2006-09-24 | GSE4913 | GEO
Project description:Identification of specific risk groups for recurrence after surgery for colorectal liver metastases (CRLM) remains challenging due to the heterogeneity of the disease. Classical clinicopathologic parameters have limited prognostic and predictive value. The aim of this study was to identify a gene expression signature measured in CRLM discriminating early from late recurrence after surgery for CRLM. Methods: Tumour samples of CRLM from two patient groups were collected: I) patients with recurrent disease within 12 months after surgery (N=33), and II) patients without recurrences and disease free for at least 36 months (N=30). The included patients were clinically homogeneous; all patients had a low risk profile (clinical risk score 0-2) and did not receive (neo-) adjuvant chemotherapy. Extracted total RNA from both groups was hybridized to Illumina arrays, and processed for analysis. A leave-one-out cross validation (LOOCV) analysis was performed to identify a potentially prognostic gene expression signature. Results: The LOOCV yielded an 11-gene profile with prognostic value in relation to recurrent disease within 12 months after partial hepatectomy. This gene expression profile had a sensitivity of 81.8%, with a specificity of 66.7% for predicting early recurrences (within 12 months) versus no recurrences for at least 36 months after surgery (X2 P<0.0001). Conclusion: The current study yielded an 11-gene signature at mRNA level in CRLM discriminating early from late or no relapse after partial hepatectomy.
2017-01-01 | GSE81423 | GEO
Project description:CTNNB1 is the most frequently mutated gene in hepatocellular carcinoma (HCC). However, its clinical relevance remains controversial. We determined an evolutionarily conserved β-catenin signature by comparative analysis of gene expression data from human HCC and a mouse model (GSE43628). We generated gene expression data from the tumors of 88 HCC patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for prognosis of HCC after surgery. We generated gene expression data from the tumors of 88 HCC patients who underwent surgical resection as the primary treatment.
2015-05-21 | E-GEOD-43619 | biostudies-arrayexpress
Project description:Surgical resection is the preferred treatment for Hepatocellular carcinoma; however, it induces tumor recurrence. Our objective was to understand the molecular mechanisms linking liver regeneration under chronic-inflammation to tumorigenesis. Mdr2-knockout mice, a model of inflammation-associated cancer, underwent partial-hepatectomy which led to enhanced hepatocarcinogenesis. Yet, liver regeneration in these mice was severely attenuated. We demonstrate the activation of the DNA damage response machinery and altered genomic instability during early liver inflammatory stages resulting in hepatocyte apoptosis and cell-cycle arrest, and suggest their involvement in tumor recurrence subsequent to partial hepatectomy. We propose that under the regenerative proliferative stress induced by liver resection, the genomic unstable hepatocytes generated during chronic-inflammation, escape apoptosis and reenter the cell-cycle, triggering the enhanced tumorigenesis At present, there is a great organ shortage worldwide, thus the main treatment for Hepatocellular carcinoma (HCC) is liver resection. However, liver resection induces recurrence and mortality. In our study, we decipher, for the first time, the contribution of the DNA damage response in HCC development and recurrence, the immediate and long term effect. This is an important finding regarding the association between carcinogenesis and DNA damage response. Additionally, we demonstrate yet another link between inflammation, inducing DNA damage and genome instability, and carcinogenesis that has not been explored in the past. These results may assist in developing treatments that will reduce tumor recurrence and additionally, new prophylactic therapies during early inflammatory stages. Keywords: time course, regeneration RNA was isolated from liver samples of 9-month-old Mdr2-/- and control mice obtained on days 0 (the removed lobe), 2 and 6 following PHx. Samples of d0 were obtained from the same mice that were sacrificed on later days. As we were concerned by the variability in the KO group 6 samples were obtained for d0. All other time points and groups contained 3 samples each.
2010-01-03 | E-GEOD-14539 | biostudies-arrayexpress
Project description:Surgical resection is the preferred treatment for Hepatocellular carcinoma; however, it induces tumor recurrence. Our objective was to understand the molecular mechanisms linking liver regeneration under chronic-inflammation to tumorigenesis. Mdr2-knockout mice, a model of inflammation-associated cancer, underwent partial-hepatectomy which led to enhanced hepatocarcinogenesis. Yet, liver regeneration in these mice was severely attenuated. We demonstrate the activation of the DNA damage response machinery and altered genomic instability during early liver inflammatory stages resulting in hepatocyte apoptosis and cell-cycle arrest, and suggest their involvement in tumor recurrence subsequent to partial hepatectomy. We propose that under the regenerative proliferative stress induced by liver resection, the genomic unstable hepatocytes generated during chronic-inflammation, escape apoptosis and reenter the cell-cycle, triggering the enhanced tumorigenesis At present, there is a great organ shortage worldwide, thus the main treatment for Hepatocellular carcinoma (HCC) is liver resection. However, liver resection induces recurrence and mortality. In our study, we decipher, for the first time, the contribution of the DNA damage response in HCC development and recurrence, the immediate and long term effect. This is an important finding regarding the association between carcinogenesis and DNA damage response. Additionally, we demonstrate yet another link between inflammation, inducing DNA damage and genome instability, and carcinogenesis that has not been explored in the past. These results may assist in developing treatments that will reduce tumor recurrence and additionally, new prophylactic therapies during early inflammatory stages. Keywords: time course, regeneration
2010-01-03 | GSE14539 | GEO
Project description:BACKGROUND & AIMS: Expression of microRNAs (miRNAs) in metastatic foci of hepatocellular carcinoma (HCC) is unknown. We identified metastasis-related miRNAs in recurrent cases after living donor liver transplantation (LDLT). Methods: We performed a comprehensive analysis of primary HCC (T), noncancerous liver (N), and resected recurrent (metastatic) HCC (M) using microarray analyses to identify metastasis-related miRNAs in in three patients with post-transplant recurrence. The RNA samples from three cases that underwent resection of recurrences after LDLT were made available for miRNA microarray analysis. The three cases included a 57-year-old man (case 1) with peritoneal recurrence and infected by hepatitis B virus (HBV), and a 48-year-old woman (case 2) and a 51-year-old man (case 3) with lung recurrences and hepatitis C virus (HCV) infection. Microarray analysis was performed for each RNA sample from the (T), (N) in the explanted liver, and (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control.
2013-10-25 | GSE41874 | GEO
Project description:CTNNB1 is the most frequently mutated gene in hepatocellular carcinoma (HCC). However, its clinical relevance remains controversial. We determined an evolutionarily conserved β-catenin signature by comparative analysis of gene expression data from human HCC and a mouse model (GSE43628). We generated gene expression data from the tumors of 88 HCC patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for prognosis of HCC after surgery.
2015-05-21 | GSE43619 | GEO
Project description:Background: Liver transplantation (LT) for Hepatocellular carcinoma (HCC) can be offered to patients beyond Milan criteria. However, there are currently no molecular markers that can be used on HCC explant histology to predict recurrence, which arises in up to 20% of LT recipients. The goal of our study was to identify proteins on HCC explant predictive of recurrence post-transplant, thereby guiding surveillance strategies and identifying patients beyond Milan criteria who would fare well following LT. Methods: LT recipients who had been transplanted at the University Health Network for HCC beyond Milan criteria in the context of Hepatitis B cirrhosis were identified. Snap-frozen samples from the dominant tumors of recurrent (N=7) and non-recurrent (N=4) patients were analyzed using LC-MS/MS on a Q-Exactive Plus mass spectrometer to delineate a distinctive proteomic signature. These tumors were also profiled by a Human Gene 2.0 ST microarray platform to identify a transcriptomic signature predictive of recurrence and analyzed with R packages. STRING database was used to characterize the implicated pathways. Kaplan-Meier estimator was used to generate a combined proteomic/transcriptomic signature predictive of HCC recurrence in patients with HCC beyond Milan criteria at time of LT. Significantly predictive proteins were verified and internally validated by immunoblotting or immunohistochemistry. Results: A total of 79 proteins and 636 genes were significantly differentially expressed in recurrent HCC, compared to non-recurrent (p<0.05). Among these, LGALS3, LGALS3BP, HAL, THBS1, and BLMH, were significantly increased in recurrent HCC at the protein and gene expression level. In turn, ALDH1A1 protein and gene expression were significantly decreased in recurrent HCC. Univariate survival analysis depicted ALDH1A1 (HR=0.084, 95%CI 0.01-0.68, p=0.02), LGALS3BP (HR=7.14, 95%CI 1.20-42.96, p=0.03), and LGALS3 (HR=2.89, 95%CI 1.01-8.3, p=0.049) as the key dysregulated proteins and genes in the patients with HCC recurrence versus those with non-recurrence by both proteomic and transcriptomic analysis. Decreased ALDH1A1 and significantly increased LGALS3 protein expression in recurrent HCC was verified by immunoblotting. Increased LGALS3BP protein expression in recurrent HCC was orthogonally verified and validated by immunohistochemistry in 30 independent HCC samples. Conclusion: Protein and gene expression of the cancer stem cell marker ALDH1A1 was protective against cancer recurrence in patients transplanted for HCC beyond Milan criteria. Conversely, increased expression of LGALS3 and LGALS3BP on explant was significantly predictive of post-transplant recurrence. These findings were internally validated, suggesting potential utility in identifying patients with HCC beyond Milan who would clearly benefit from transplant with limited recurrence risk and guiding post-transplant surveillance.
2022-02-22 | PXD022881 | Pride