Correction: SEL1L SNP rs12435998, a predictor of glioblastoma survival and response to radio-chemotherapy.
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ABSTRACT:
SUBMITTER: Mellai M
PROVIDER: S-EPMC6135690 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Publications
Correction: <i>SEL1L</i> SNP rs12435998, a predictor of glioblastoma survival and response to radio-chemotherapy.
Mellai Marta M Cattaneo Monica M Storaci Alessandra Maria AM Annovazzi Laura L Cassoni Paola P Melcarne Antonio A De Blasio Pasquale P Schiffer Davide D Biunno Ida I
Oncotarget 20180824 66
[This corrects the article DOI: 10.18632/oncotarget.3611.]. ...[more]
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Project description:The suppressor of Lin-12-like (C. elegans) (SEL1L) is involved in the endoplasmic reticulum (ER)-associated degradation pathway, malignant transformation and stem cells. In 412 formalin-fixed and paraffin-embedded brain tumors and 39 Glioblastoma multiforme (GBM) cell lines, we determined the frequency of five SEL1L single nucleotide genetic variants with regulatory and coding functions by a SNaPShot™ assay. We tested their possible association with brain tumor risk, prognosis and therapy. We studied the in vitro cytotoxicity of valproic acid (VPA), temozolomide (TMZ), doxorubicin (DOX) and paclitaxel (PTX), alone or in combination, on 11 GBM cell lines, with respect to the SNP rs12435998 genotype. The SNP rs12435998 was prevalent in anaplastic and malignant gliomas, and in meningiomas of all histologic grades, but unrelated to brain tumor risks. In GBM patients, the SNP rs12435998 was associated with prolonged overall survival (OS) and better response to TMZ-based radio-chemotherapy. GBM stem cells with this SNP showed lower levels of SEL1L expression and enhanced sensitivity to VPA.
| S-EPMC4494950 | biostudies-literature
Project description:First-line cancer therapies such as alkylating agents and radiation have limited survival benefits for Glioblastoma (GBM) patients. Current research strongly supports the notion that inhibition of aberrant tumor metabolism holds promise as a therapeutic strategy when used in combination with radiation and chemotherapy. Hexokinase 2 (HK2) has been shown to be a key driver of altered metabolism in GBM, and presents an attractive therapeutic target. To date, no study has fully assessed the therapeutic value of targeting HK2 as a mechanism to sensitize cells to standard therapy, namely in the form of radiation and temozolomide (TMZ). Using cell lines and primary cultures of GBM, we showed that inducible knockdown of HK2 altered tumor metabolism, which could not be recapitulated by HK1 or HK3 loss. HK2 loss diminished both in vivo tumor vasculature as well as growth within orthotopic intracranial xenograft models of GBMs, and the survival benefit was additive with radiation and TMZ. Radio-sensitization following inhibition of HK2 was mediated by increased DNA damage, and could be rescued through constitutive activation of ERK signaling. This study supports HK2 as a potentially effective therapeutic target in GBM.
| S-EPMC5342495 | biostudies-literature
Project description:BackgroundTo predict treatment response and 2 years overall survival (OS) of radio-chemotherapy in patients with esophageal cancer (EC) by radiomics based on the computed tomography (CT) images.MethodsThis study retrospectively collected 171 nonsurgical EC patients treated with radio-chemotherapy from Jan 2010 to Jan 2019. 80 patients were randomly divided into training (n=64) and validation (n=16) cohorts to predict the radiochemotherapy response. The models predicting treatment response were established by Lasso and logistic regression. A total of 156 patients were allocated into the training cohort (n=110), validation cohort (n=23) and test set (n=23) to predict 2-year OS. The Lasso Cox model and Cox proportional hazards model established the models predicting 2-year OS.ResultsTo predict the radiochemotherapy response, WFK as a radiomics feature, and clinical stages and clinical M stages (cM) as clinical features were selected to construct the clinical-radiomics model, achieving 0.78 and 0.75 AUC (area under the curve) in the training and validation sets, respectively. Furthermore, radiomics features called WFI and WGI combined with clinical features (smoking index, pathological types, cM) were the optimal predictors to predict 2-year OS. The AUC values of the clinical-radiomics model were 0.71 and 0.70 in the training set and validation set, respectively.ConclusionsThis study demonstrated that planning CT-based radiomics showed the predictability of the radiochemotherapy response and 2-year OS in nonsurgical esophageal carcinoma. The predictive results prior to treatment have the potential to assist physicians in choosing the optimal therapeutic strategy to prolong overall survival.
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Project description:This SuperSeries is composed of the following subset Series: GSE25055: Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer GSE25065: Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer Refer to individual Series
2011-05-11 | E-GEOD-25066 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2011-05-11 | GSE25066 | GEO
Project description:Development of effective therapies for recurrent glioblastoma multiforme (GBM) and reliable, timely evaluation of their benefit are needed. Understanding the relationship between objective response (OR) and survival is important for determining whether OR can provide an early signal of treatment activity in clinical trials. We performed a landmark analysis to evaluate the association between OR and survival at 9, 18, and 26 weeks for 167 patients with recurrent GBM who participated in BRAIN, a phase II trial that evaluated efficacy of bevacizumab alone or in combination with irinotecan, using the Cox regression models adjusted for age, baseline Karnofsky performance score, first vs second relapse, and treatment arm. Hazard ratios (HRs) and P-values for survival between responders and nonresponders were calculated. Additional analyses were performed to test robustness, validity, fit, and accuracy of the models. The relationships between progression-free survival (PFS) and survival and between OR and PFS were also explored. There were 55 responders and 112 nonresponders across the 2 treatment arms in BRAIN. OR status at 9, 18, and 26 weeks was a statistically significant predictor of survival (HR ≤ 0.52, P < .01). PFS was also a statistically significant predictor of survival at each landmark (HR ≤ 0.25, P < .0001). The association between OR and PFS was not statistically significant, likely due to inadequate statistical power for the analysis. Clarifying the relationship of OR and survival is important for determining whether OR can be a reliable predictor of the benefit of a therapeutic agent in patients with recurrent GBM.
| S-EPMC3018914 | biostudies-literature
Project description:BackgroundSince its approval for use in recurrent glioblastoma (GBM), the survival benefit of bevacizumab (Bev) remains to be demonstrated. To address this issue, we retrospectively examined survival from first recurrence in patients treated with Bev, lomustine (CCNU), or Bev/CCNU.MethodsWe identified 168 primary GBM patients diagnosed at UCLA and Kaiser Permanente LA who received upfront radio-chemotherapy, followed by Bev and/or CCNU at first recurrence. Three patient groups, contemporaneously diagnosed from 2009 through 2015, were identified: (1) patients treated with Bev alone (n = 49), (2) CCNU alone (CCNU 09-15) (n = 36), and (3) Bev/CCNU (n = 53). Another CCNU control group (n = 30) diagnosed from 2001 through 2004 (CCNU 01-04) was also derived. We measured tumor size at first recurrence treatment initiation, using bidimensional (2D) and volumetric (3D) techniques, and analyzed overall survival (OS) from first recurrence.ResultsAmong the entire cohort, larger tumor size at first recurrence was associated with poorer survival. The CCNU 01-04 group had similar tumor size as the Bev arms and low Bev crossover (7%). Treatment with Bev was associated with improved survival in patients with large tumor 2D measurements: Median OS for Bev and Bev/CCNU groups were 6.71 mo (n = 27) and 6.97 mo (n = 36) vs 4.03 mo (n = 10) in CCNU 01-04. Analysis by 3D measurement yielded similar results. Interestingly, the CCNU 09-15 group showed the highest survival, likely due to smaller tumor size and crossover to Bev (69%).ConclusionSurvival advantage from Bev treatment was observed only among patients with large tumor burden as determined by either 2D or 3D measurement.
| S-EPMC6656330 | biostudies-literature
Project description:Abstract Background: Glioblastoma (GBM) accounts for approximately 50% of all glioma and among these tumors, are the most malignant. The current standard of care for patients with newly diagnosed GBM includes temozolomide and radiotherapy. Melanocortins are peptides with well-recognized anti-inflammatory and neuroprotective activity. No data are currently available on MC4R gene polymorphisms and gliomas or their relationship with radiotherapy or chemotherapy. Given the association of MC4R with antiinflammatory activity, neuroprotection, induction of neural stem/progenitor cell proliferation in brain hypoxia, and prevention of astrocyte apoptosis, the aim of this study was to retrospectively evaluate the possible prognostic/predictive role of the MC4R SNPs on GBM therapy. Methods: Sixty-one patients with a proven diagnosis of GBM, ECOG PS 0–2, age greater than18 years, and treated with radiotherapy and temozolomide were enrolled. Blood samples (3 ml) were collected in EDTA tubes and stored at -80°C. Genomic DNA was extracted using QIAamp DNA Blood Mini Kit. MC4R gene SNPs (rs17782313, rs489693, rs8087522, rs17700633) were analyzed; the allelic discrimination was performed using an ABI PRISM 7900 SDS and with validated TaqMan® SNP genotyping assays. PCR reactions were carried out according to the manufacturer’s protocol. Kaplan Meier curves were performed for statistical association with genotypes. A P value less than 0.0125 (Bonferroni’s correction) was considered significant. Results: Fifty-six patients were clinically evaluated. The median
progression-free survival (PFS) and median overall survival (OS) were 10.8 months and 23 months, respectively. The distribution of genotypes in the 56 patients did not deviate from Hardy-Weinberg equilibrium. A relevant finding of our study was the identification of a MC4R genotype that was significantly associated with PFS. Indeed, with regard to PFS, patients harbouring the rs489693 AA genotype had a median PFS of 3 months whereas patients with AC/CC genotypes had a median PFS of 13.7 months (P=0.0088). Interestingly, the rs489693 AA patients also had a lower median OS, even though the difference was not sta[[Unsupported Character - Codename ­]]tistically significant as compared with the median OS of the AC/CC genotypes (15.6 vs. 24.6 months, respectively, P=0.274). No significant differences in PFS and OS for the other genotypes of the investigated MC4R polymorphisms were found. Conclusion: The rs489693 AA genotype is significantly associated with a shorter PFS in GBM patients treated with radiotherapy and temozolomide schedule. The present pharmacogenetic, retrospective, pilot study may represent the stimulus to prospectively investigate the role of rs489693 MC4R polymorphism as a predictive pharmacogenetic marker of GBM radio-chemotherapy.
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Project description:CONTEXT:Prediction of high probability of survival from standard cancer treatments is fundamental for individualized cancer treatment strategies. OBJECTIVE:To develop a predictor of response and survival from chemotherapy for newly diagnosed invasive breast cancer. DESIGN, SETTING, AND PATIENTS:Prospective multicenter study conducted from June 2000 to March 2010 at the M. D. Anderson Cancer Center to develop and test genomic predictors for neoadjuvant chemotherapy. Patients were those with newly diagnosed ERBB2 (HER2 or HER2/neu)-negative breast cancer treated with chemotherapy containing sequential taxane and anthracycline-based regimens (then endocrine therapy if estrogen receptor [ER]-positive). Different predictive signatures for resistance and response to preoperative (neoadjuvant) chemotherapy (stratified according to ER status) were developed from gene expression microarrays of newly diagnosed breast cancer (310 patients). Breast cancer treatment sensitivity was then predicted using the combination of signatures for (1) sensitivity to endocrine therapy, (2) chemoresistance, and (3) chemosensitivity, with independent validation (198 patients) and comparison with other reported genomic predictors of chemotherapy response. MAIN OUTCOME MEASURES:Distant relapse-free survival (DRFS) if predicted treatment sensitive and absolute risk reduction ([ARR], difference in DRFS between 2 predicted groups) at median follow-up (3 years). RESULTS:Patients in the independent validation cohort (99% clinical stage II-III) who were predicted to be treatment sensitive (28%) had 56% (95% CI, 31%-78%) probability of excellent pathologic response and DRFS of 92% (95% CI, 85%-100%), with an ARR of 18% (95% CI, 6%-28%). Survival was predicted in ER-positive (30% predicted sensitive; DRFS, 97% [95% CI, 91%-100%]; ARR, 11% [95% CI, 0.1%-21%]) and ER-negative (26% predicted sensitive; DRFS, 83% [95% CI, 68%-100%]; ARR, 26% [95% CI, 4%-48%]) subsets and was significant in multivariate analysis. Other genomic predictors showed paradoxically worse survival for patients predicted to be responsive to chemotherapy. CONCLUSION:A genomic predictor combining ER status, predicted chemoresistance, predicted chemosensitivity, and predicted endocrine sensitivity identified patients with high probability of survival following taxane and anthracycline chemotherapy.
| S-EPMC5638042 | biostudies-literature
Project description:PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant validation cohort of 198 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.
2011-05-11 | E-GEOD-25065 | biostudies-arrayexpress