Heterogenous radiomics patterns are associated with poor survivals and dysregulated pathways in medulloblastoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE151519 | GEO | 2020/06/01
REPOSITORIES: GEO
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Project description:An integrated transcriptome-wide gene expression analysis, including differential gene expression analysis and weighted gene co-expression network analysis (WGCNA), was carried out based on transcriptomics data from a series of nine matched, histologically confirmed PCa and benign samples using the Affymetrix Clariom D Human array. The analysis identified a set of potential gene markers highly associated with tumor status (malignant vs. benign). We then used these genes to establish a minimal progression-free survival (PFS)-associated gene signature (GS) (PCBP1, PABPN1, PTPRF, DANCR, and MYC) using the least absolute shrinkage and selection operator (LASSO) and stepwise multivariate Cox regression analyses from The Cancer Genome Atlas prostate adenocarcinoma (TCGA-PRAD) dataset. Our signature was able to predict PFS over 1, 3, and 5 years in the TCGA-PRAD dataset, with an area under the curve (AUC) of 0.64–0.78, and our signature remained as a prognostic factor independent of age, Gleason score, and pathological T and N stages. A nomogram combining the signature and Gleason score demonstrated improved predictive capability for PFS (AUC: 0.71–0.85) and was superior to the Cambridge Prognostic Group (CPG) model alone and some conventionally used clinicopathological factors in predicting PFS. In conclusion, we have identified and validated a novel five-gene signature and established a nomogram that effectively predicted PFS in patients with PCa. These findings may improve current prognostic tools for PFS and contribute to clinical decision-making in PCa treatment.
2023-10-31 | GSE246282 | GEO
Project description:Background: To analyze the potential of radiomics for disease stratification beyond key molecular, clinical and standard imaging features in patients with glioblastoma. Methods: Quantitative imaging features (n=1043) were extracted from the multiparametric MRI of 181 patients with newly-diagnosed glioblastoma prior to standard-of-care treatment (allocated to a discovery and validation set, 2:1 ratio). A subset of 386/1043 features were identified as reproducible (in an independent MRI-test-retest cohort) and selected for analysis. A penalized Cox-model with 10-fold cross-validation (Coxnet) was fitted on the discovery set to construct a radiomic signature for predicting progression-free and overall survival (PFS, OS). The incremental value of a radiomic signature beyond molecular (MGMT-promoter methylation, DNA-methylation subgroups), clinical (patients age, KPS, extent-of-resection, adjuvant treatment) and standard imaging parameters (tumor volumes) for stratifying PFS and OS was assessed with multivariate Cox-models (performance quantified with prediction error curves). Results: The radiomic signature (constructed from 8/386 features identified through Coxnet) increased the prediction accuracy for PFS and OS (in both discovery and validation set) beyond the assessed molecular, clinical and standard imaging parameters (p≤0.01). Prediction errors decreased by 36% for PFS and 37% for OS when adding the radiomic signature (as compared to 29% and 27% with molecular + clinical features alone). The radiomic signature was - along with MGMT-status - the only parameter with independent significance on multivariate analysis (p≤0.01). Conclusions: Our study stresses the role of integrating radiomics into a multi-layer decision framework with key molecular and clinical features to improve disease stratification and to potentially advance personalized treatment of patients with glioblastoma.
2018-01-05 | GSE103659 | GEO
Project description:Nowadays, risk stratification for oropharyngeal squamous cell carcinoma (OPSCC) is based on HPV status, tobacco smoking, and tumor stage. Although HPV positivity represents a strong prognostic factor for both reduced risk of relapse, and improved survival, there is a subset of HPV-positive OPSCC patients who still experience poor outcomes. Furthermore, HPV-negative OPSCC patients, who have an even higher risk of relapse within two years from the end of the treatment, are still lacking suitable prognostic biomarkers for clinical outcome. In this scenario, inclusion of new biomarkers that differentiate OPSCC patients with a diverse prognosis is urgently needed. Since genes encoding for epigenetic regulators have been frequently found mutated in several tumors, including OPSCC, it is expected that epigenetic changes may play a major role in OPSCC pathogenesis and response to therapy. Consistently, HPV oncoproteins have been also demonstrated to impact on epigenetic pattern by interacting with different epigenetic regulators, thus affecting the chromatin landscape of OPSCC HPV-positive cells. Along this line, we have recently demonstrated the methylation levels of the “Long interspersed nucleotide element-1” (LINE-1) repetitive elements, a widely accepted surrogate of overall genomic DNA methylation content, was different between HPV16-positive and -negative OPSCC patients. In particular, the lowest level of LINE-1 element methylation was observed in HPV16-negative OPSCC patients who relapsed within 24 months, thus indicating the overall level of genomic DNA methylation may have an impact on early OPSCC relapse risk. Despite these promising initial data, the influence of LINE1 methylation levels on OPSCC survival is not yet well defined. We retrospectively reviewed a cohort of 156 patients with stage III–IVB (AJCC TNM 7th Ed.) OPSCC. Forty patients were diagnosed and treated at Treviso Regional Hospital, and 116 at National Cancer Institute of Aviano and/or Pordenone Hospital. All patients were managed with curative intent with elective radiotherapy ± chemotherapy or surgery ± adjuvant (chemo)radiotherapy, in accordance with current clinical practice. Genomic DNA was extracted from OPSCC formalin-fixed paraffin-embedded tissues. The quantification of HPV16 DNA was performed by real-time quantitative PCR by using specific primers for the amplification of a region spanning the E6 genes of the HPV16 genome, whereas the methylation status of LINE1 repetitive sequences was evaluated by real-time quantitative Methylation-Specific PCR. The impact of genome-wide methylation patterns on progression-free survival (PFS) and overall survival (OS) was assessed using Kaplan-Meier analyses. Optimal cut-points for LINE-1 were search through a recursive algorithm which estimates the predictive value for PFS (Harrell's c-index) for each possible couple of LINE-1 values; optimal cut-points were defined as those which maximized Harrell's c-index. Multivariate hazard risk (HR) and corresponding confidence intervals (CI) were calculated according to Cox proportional hazard model adjusting for gender, age, TNM stage, and HPV status.The median follow up was 30 months (interquartile range: 17-72 months) Considering all cases, PFS and OS were respectively 64.6% and 71.8% at 2 years, and 49.5% and 53.7% at 5 years. HPV DNA prevalence was 28.8% (45/156). Compared to HPV-negative patients, HPV-positive ones had a better outcome in terms of PFS at 2 (81.0% vs. 58.2%) and 5 years (70.9% vs 41.6%; p=0.003), as well as in terms of OS (5-year OS: 74.1 vs. 45.9%, respectively; p=0.003). LINE-1 methylation level was significantly higher in HPV-positive OPSCC patients than in HPV-negative ones (median, 66.9% and 48.7% respectively; p<0.001). Three patterns of LINE-1 methylation status were indentified according to PFS: high ≥55%, medium 35-54%, low <35%. The same cut-points were identified from the analysis on OS. Analyzing all patients, PFS at 2 years was 75.9% in the high methylation group, 62.0% in the intermediate group, and 41.6% in the low methylation group (p≤0.001). Compared to LINE-1≥55%, multivariate HR were 1.66 (95% CI: 0.92-2.99) for LINE-1 35-54% and 2.84 (95% CI: 1.51-5.37) for LINE-1<35%. Moreover, OS at 2 and 5 years was significantly better in the high methylation group (p<0.001), with HRs of death similar to those for PFS. It is worth noting that the level of LINE-1 remained a prognostic factor for both PFS (p= 0.004) and of OS (p=0.011) when we restricted the analysis to HPV-negative patients. Among these patients, the multivariate HRs for LINE-1<35% were 2.87 (95% CI: 1.49-5.52) for PFS and 2.86 (1.43-5.74) for OS. In HPV-positive group, respect to patients with LINE-1 <55%, cases with a LINE-1≥55% have had better trend in terms of PFS and OS, but this difference was not statistically significant (p=0.112; p= 0.113), mainly due to small sample size. Between HPV-positive patients, only one had a methylation of LINE-1 < 35%. LINE-1 methylation has been identified as a molecular marker of prognosis for stage III-IV OPSCC patients, becoming a promising biomarker to be integrated in current prognostic factors (e.g., stage, HPV status, tobacco smoking) to refine the comprehensive clinical management of OPSCC. This is of particular clinical relevance for HPV-positive OPSCC patients, since this marker may help in indentify the subset of these patients with bad prognosis. However, further validation in a prospective study is needed for its application in daily clinical practice.
2022-07-14 | E-MTAB-11152 | biostudies-arrayexpress
Project description:Nowadays, risk stratification for oropharyngeal squamous cell carcinoma (OPSCC) is based on HPV status, tobacco smoking, and tumor stage. Although HPV positivity represents a strong prognostic factor for both reduced risk of relapse, and improved survival, there is a subset of HPV-positive OPSCC patients who still experience poor outcomes. Furthermore, HPV-negative OPSCC patients, who have an even higher risk of relapse within two years from the end of the treatment, are still lacking suitable prognostic biomarkers for clinical outcome. In this scenario, inclusion of new biomarkers that differentiate OPSCC patients with a diverse prognosis is urgently needed. Since genes encoding for epigenetic regulators have been frequently found mutated in several tumors, including OPSCC, it is expected that epigenetic changes may play a major role in OPSCC pathogenesis and response to therapy. Consistently, HPV oncoproteins have been also demonstrated to impact on epigenetic pattern by interacting with different epigenetic regulators, thus affecting the chromatin landscape of OPSCC HPV-positive cells. Along this line, we have recently demonstrated the methylation levels of the “Long interspersed nucleotide element-1” (LINE-1) repetitive elements, a widely accepted surrogate of overall genomic DNA methylation content, was different between HPV16-positive and -negative OPSCC patients. In particular, the lowest level of LINE-1 element methylation was observed in HPV16-negative OPSCC patients who relapsed within 24 months, thus indicating the overall level of genomic DNA methylation may have an impact on early OPSCC relapse risk. Despite these promising initial data, the influence of LINE1 methylation levels on OPSCC survival is not yet well defined. We retrospectively reviewed a cohort of 156 patients with stage III–IVB (AJCC TNM 7th Ed.) OPSCC. Forty patients were diagnosed and treated at Treviso Regional Hospital, and 116 at National Cancer Institute of Aviano and/or Pordenone Hospital. All patients were managed with curative intent with elective radiotherapy ± chemotherapy or surgery ± adjuvant (chemo)radiotherapy, in accordance with current clinical practice. Genomic DNA was extracted from OPSCC formalin-fixed paraffin-embedded tissues. The quantification of HPV16 DNA was performed by real-time quantitative PCR by using specific primers for the amplification of a region spanning the E6 genes of the HPV16 genome, whereas the methylation status of LINE1 repetitive sequences was evaluated by real-time quantitative Methylation-Specific PCR. The impact of genome-wide methylation patterns on progression-free survival (PFS) and overall survival (OS) was assessed using Kaplan-Meier analyses. Optimal cut-points for LINE-1 were search through a recursive algorithm which estimates the predictive value for PFS (Harrell's c-index) for each possible couple of LINE-1 values; optimal cut-points were defined as those which maximized Harrell's c-index. Multivariate hazard risk (HR) and corresponding confidence intervals (CI) were calculated according to Cox proportional hazard model adjusting for gender, age, TNM stage, and HPV status.The median follow up was 30 months (interquartile range: 17-72 months) Considering all cases, PFS and OS were respectively 64.6% and 71.8% at 2 years, and 49.5% and 53.7% at 5 years. HPV DNA prevalence was 28.8% (45/156). Compared to HPV-negative patients, HPV-positive ones had a better outcome in terms of PFS at 2 (81.0% vs. 58.2%) and 5 years (70.9% vs 41.6%; p=0.003), as well as in terms of OS (5-year OS: 74.1 vs. 45.9%, respectively; p=0.003). LINE-1 methylation level was significantly higher in HPV-positive OPSCC patients than in HPV-negative ones (median, 66.9% and 48.7% respectively; p<0.001). Three patterns of LINE-1 methylation status were indentified according to PFS: high ≥55%, medium 35-54%, low <35%. The same cut-points were identified from the analysis on OS. Analyzing all patients, PFS at 2 years was 75.9% in the high methylation group, 62.0% in the intermediate group, and 41.6% in the low methylation group (p≤0.001). Compared to LINE-1≥55%, multivariate HR were 1.66 (95% CI: 0.92-2.99) for LINE-1 35-54% and 2.84 (95% CI: 1.51-5.37) for LINE-1<35%. Moreover, OS at 2 and 5 years was significantly better in the high methylation group (p<0.001), with HRs of death similar to those for PFS. It is worth noting that the level of LINE-1 remained a prognostic factor for both PFS (p= 0.004) and of OS (p=0.011) when we restricted the analysis to HPV-negative patients. Among these patients, the multivariate HRs for LINE-1<35% were 2.87 (95% CI: 1.49-5.52) for PFS and 2.86 (1.43-5.74) for OS. In HPV-positive group, respect to patients with LINE-1 <55%, cases with a LINE-1≥55% have had better trend in terms of PFS and OS, but this difference was not statistically significant (p=0.112; p= 0.113), mainly due to small sample size. Between HPV-positive patients, only one had a methylation of LINE-1 < 35%. LINE-1 methylation has been identified as a molecular marker of prognosis for stage III-IV OPSCC patients, becoming a promising biomarker to be integrated in current prognostic factors (e.g., stage, HPV status, tobacco smoking) to refine the comprehensive clinical management of OPSCC. This is of particular clinical relevance for HPV-positive OPSCC patients, since this marker may help in indentify the subset of these patients with bad prognosis. However, further validation in a prospective study is needed for its application in daily clinical practice.
2023-02-21 | E-MTAB-12032 | biostudies-arrayexpress
Project description:The AVAglio and RTOG-0825 randomized, placebo-controlled phase III trials in newly diagnosed glioblastoma reported prolonged progression-free survival (PFS), but not overall survival (OS), with the addition of bevacizumab to radiotherapy/temozolomide. To establish whether certain patient subgroups derived OS benefit from the addition of bevacizumab to first-line standard-of-care therapy, AVAglio patients were retrospectively evaluated for molecular subtype, and bevacizumab efficacy assessed for each patient subgroup. A multivariate analysis accounting for prognostic covariates revealed that bevacizumab conferred a significant OS advantage versus placebo for patients with Proneural IDH1 wild-type tumors (17.1 v 12.8 months, respectively; hazard ratio, 0.43; 95% CI, 0.26 to 0.73; P = .002). This analysis also revealed an interaction between the Proneural subtype biomarker and treatment arm (P = .023). The group of patients with Mesenchymal and Proneural tumors derived a PFS benefit from bevacizumab, compared with placebo; however, this translated to an OS benefit in the Proneural subset only. Retrospective analysis of AVAglio data suggests that patients with IDH1 wild-type Proneural glioblastoma may derive OS benefit from first-line bevacizumab treatment. The predictive value of the Proneural subtype observed in AVAglio should be validated in an independent dataset. A total of 349 (bevacizumab arm, n = 171; placebo arm, n = 178) pretreatment specimens from AVAglio patients (total n = 921) were available for biomarker analysis. Samples were profiled for gene expression and isocitrate dehydrogenase 1 (IDH1) mutation status and classified into previously identified molecular subtypes. PFS and OS were assessed within each subtype.
2016-07-06 | E-GEOD-84010 | biostudies-arrayexpress
Project description:Background: Identifying individuals at heightened cardiovascular risk is a priority for reducing the global burden of cardiovascular disease. Aspirin is widely used to prevent cardiovascular events, though with variable results. Therefore, we hypothesized that aspirin exposure would reveal novel biological pathways relevant to the development of cardiovascular events. Methods: We administered aspirin, followed by peripheral blood RNA microarray profiling, in a discovery cohort of healthy volunteers (n = 50, HV1), followed by two validation cohorts of healthy volunteers (n = 53, HV2) or outpatient cardiology (OPC, n = 25) patients, in conjunction with platelet function testing with the platelet functions score (PFS, HV1 and HV2) or the VerifyNow Asprin (VN, OPC) test. Sets of coexpressed genes, or “Factors” were identified via Bayesian sparse factor analysis and associated with platelet function in HV1 and validated in HV2 and OPC. Validated factors were associated with death/MI in observational (n = 191) and case:control (n = 447) patient cohorts with available RNA data collected at the time of cardiac catheterization. Results: Factor analysis yielded 20 Factors, of which one, Factor 14, contained 60 genes and was associated with PFS in HV1 (r = -0.31, p-value = 0.03). Factor 14 was associated with platelet function with the same strength and direction in HV2 (r = -0.34, p-value = 0.02) and OPC (one-sided p-value for aspirin resistant vs. aspirin sensitive = 0.046), thus validating the association. Factor 14 was associated with death/MI in the two patient cohorts, odds ratio (OR) = 1.2, 95% CI [1.02-1.4], p-value = 0.01 and hazard ratio = 1.5, [1.2-1.9], p = 0.001, respectively, independent of known cardiovascular risk factors (combined OR = 1.2, CI = [1.02, 1.4], p = 0.03). Factor 14 and the expression of the Factor 14 transcript most highly correlative of PFS, ITGA2B, improved reclassification compared to traditional risk factors (category-free net reclassification index = 31% and 37%, p ≤ 0.0002 for both). Conclusions: By challenging humans subjects with aspirin, a medication used for cardiovascular risk reduction, we elucidated genes and pathways that may underlie platelet function and mechanisms responsible for cardiovascular death/MI. This accession represents the OPC cohort microarray data 26 subjects selected for microarray analysis were divided into three groups: aspirin resistant (AR, n=8, >550 ARU), high normal (HN, n=9, ARU 500-549) and aspirin sensitive (AS, n=9, ARU<500)
2013-12-06 | E-GEOD-38511 | biostudies-arrayexpress
Project description:The AVAglio and RTOG-0825 randomized, placebo-controlled phase III trials in newly diagnosed glioblastoma reported prolonged progression-free survival (PFS), but not overall survival (OS), with the addition of bevacizumab to radiotherapy/temozolomide. To establish whether certain patient subgroups derived OS benefit from the addition of bevacizumab to first-line standard-of-care therapy, AVAglio patients were retrospectively evaluated for molecular subtype, and bevacizumab efficacy assessed for each patient subgroup. A multivariate analysis accounting for prognostic covariates revealed that bevacizumab conferred a significant OS advantage versus placebo for patients with Proneural IDH1 wild-type tumors (17.1 v 12.8 months, respectively; hazard ratio, 0.43; 95% CI, 0.26 to 0.73; P = .002). This analysis also revealed an interaction between the Proneural subtype biomarker and treatment arm (P = .023). The group of patients with Mesenchymal and Proneural tumors derived a PFS benefit from bevacizumab, compared with placebo; however, this translated to an OS benefit in the Proneural subset only. Retrospective analysis of AVAglio data suggests that patients with IDH1 wild-type Proneural glioblastoma may derive OS benefit from first-line bevacizumab treatment. The predictive value of the Proneural subtype observed in AVAglio should be validated in an independent dataset.
2016-07-06 | GSE84010 | GEO
Project description:There is clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SET ER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors (ESR1 and PGR) and robust to pre-analytical and analytical influences. We tested SET ER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SET ER/PR index in metastatic samples predicted longer progression-free (PFS) and overall survival (OS) when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1% to 98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good pre-analytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SET ER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript. We tested SET ER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SET ER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SET ER/PR index in metastatic samples predicted longer progression-free (PFS) and overall survival (OS) when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.485, 95% CI 0.265 to 0.889, p = 0.019; OS: HR 0.314, 95% CI 0.155 to 0.637, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1% to 98% of ESR1 transcripts (all had high SET ER/PR index). A signature based on probe sets with good pre-analytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SET ER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript.
2019-05-30 | GSE124647 | GEO
Project description:Background: The prognostic value of histologic grade (HG) in invasive lobular carcinoma (ILC) remains uncertain, and most ILC tumors are graded as HG2. Genomic grade (GG) is a 97-gene signature that improves the prognostic value of HG. This study evaluates whether GG may overcome the limitations of HG in ILC. Methods: Gene expression data were generated from frozen tumor samples, and GG calculated according to the expression of 97 genes. The prognostic value of GG was assessed in a stratified Cox regression model for invasive disease-free survival (IDFS) and overall survival (OS).
2016-10-15 | GSE88770 | GEO
Project description:Background. We aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations. Results. NanoString data were available from 512 patients in the discovery ATE dataset. Elastic net identified a prognostic signature of nine genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to an average z-score signature conserved the prognostic value of the ATE signature. The z-score signature was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.021; UCLA, P = 0.0037). The signature remained prognostic following adjustment for MGMT promoter methylation status or corticosteroid use at baseline. A positive correlation between the signature and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status. Conclusions. The ATE signature showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
2020-06-01 | GSE149921 | GEO