Long-term Survivors Of Glioblastoma Research Articles

Comprehensive molecular characterization of long-term glioblastoma survivors

Fewer than 5 % glioblastoma (GBM) patients survive over five years and are termed long-term survivors (LTS), yet their molecular background is unclear. The present cohort included 72 isocitrate dehydrogenase (IDH)-wildtype GBM patients, consisting of 35 LTS and 37 short-term survivors (STS), and we employed whole exome sequencing, RNA-seq and DNA methylation array to delineate this largest LTS cohort to date. Although LTS and STS demonstrated analogous clinical characters and classical GBM biomarkers, CASC5 (P = 0.002) and SPEN (P = 0.013) mutations were enriched in LTS, whereas gene-to-gene fusions were concentrated in STS (P = 0.007). Importantly, LTS exhibited higher tumor mutation burden (P < 0.001) and copy number (CN) increase (P = 0.013), but lower mutant-allele tumor heterogeneity score (P < 0.001) and CN decrease (P = 0.026). Additionally, LTS demonstrated hypermethylated genome (P < 0.001) relative to STS. Differentially expressed and methylated genes both enriched in olfactory transduction. Further, analysis of the tumor microenvironment revealed higher infiltration of M1 macrophages (P = 0.043), B cells (P = 0.016), class-switched memory B cells (P = 0.002), central memory CD4+ T cells (P = 0.031) and CD4+ Th1 cells (P = 0.005) in LTS. We also separately analyzed a subset of patients who were methylation class-defined GBM, contributing 70.8 % of the entire cohort, and obtained similar results relative to prior analyses. Finally, we demonstrated that LTS and STS could be distinguished using a subset of molecular features. Taken together, the present study delineated unique molecular attributes of LTS GBM.

Long-term survivors of glioblastoma: Tumor molecular, clinical, and imaging findings.

Glioblastoma (GBM) is the most aggressive primary brain malignancy with <45% living a year beyond diagnosis. Previously published investigations of long-term survivors (LTS) provided clinical data but rarely incorporated a comprehensive clinical and molecular analysis. Herein, we identify clinical, imaging, molecular, and outcome features for 23 GBM-LTS patients and compare them with a matched cohort of short-term survivors (STS). Molecularly confirmed Isocitrate Dehydrogenase (IDH) wildtype GBM patients living ≥3 years post-diagnosis (NLTS = 23) or <3 years (NSTS = 75) were identified from our Natural History study. Clinical and demographic characteristics were compared. Tumor tissue was analyzed with targeted next generation sequencing (NGS) (NLTS = 23; NSTS = 74) and methylation analysis (NLTS = 18; NSTS = 28). Pre-surgical MRI scans for a subset of LTS (N = 14) and STS control (N = 28) matched on sex, age, and extent of resection were analyzed. LTS tended to be younger. Diagnostic MRIs showed more LTS with T1 tumor hypointensity. LTS tumors were enriched for MGMTp methylation and tumor protein 53 (TP53) mutation. Three patients with classic GBM histology were reclassified based on NGS and methylation testing. Additionally, there were LTS with typical poor prognostic molecular markers. Our findings emphasize that generalized predictions of prognosis are inaccurate for individual patients and underscore the need for complete clinical evaluation including molecular work-up to confirm the diagnosis. Continued accrual of patients to LTS registries that containcomprehensive clinical, imaging, tumor molecular data, and outcomes measures may pro\vide important insights about individual patient prognosis.

Deoxyhypusine hydroxylase: A novel therapeutic target differentially expressed in short-term vs long-term survivors of glioblastoma.

Glioblastoma (GB) is the most aggressive neoplasm of the brain. Poor prognosis is mainly attributed to tumor heterogeneity, invasiveness and drug resistance. Only a small fraction of GB patients survives longer than 24 months from the time of diagnosis (ie, long-term survivors [LTS]). In our study, we aimed to identify molecular markers associated with favorable GB prognosis as a basis to develop therapeutic applications to improve patients' outcome. We have recently assembled a proteogenomic dataset of 87 GB clinical samples of varying survival rates. Following RNA-seq and mass spectrometry (MS)-based proteomics analysis, we identified several differentially expressed genes and proteins, including some known cancer-related pathways and some less established that showed higher expression in short-term (<6 months) survivors (STS) compared to LTS. One such target found was deoxyhypusine hydroxylase (DOHH), which is known to be involved in the biosynthesis of hypusine, an unusual amino acid essential for the function of the eukaryotic translation initiation factor 5A (eIF5A), which promotes tumor growth. We consequently validated DOHH overexpression in STS samples by quantitative polymerase chain reaction (qPCR) and immunohistochemistry. We further showed robust inhibition of proliferation, migration and invasion of GB cells following silencing of DOHH with short hairpin RNA (shRNA) or inhibition of its activity with small molecules, ciclopirox and deferiprone. Moreover, DOHH silencing led to significant inhibition of tumor progression and prolonged survival in GB mouse models. Searching for a potential mechanism by which DOHH promotes tumor aggressiveness, we found that it supports the transition of GB cells to a more invasive phenotype via epithelial-mesenchymal transition (EMT)-related pathways.

Clinical and pathologic characteristics of long-term glioblastoma survivors.

e14040 Background: Glioblastoma (GBM) is an aggressive brain tumor with a mean survival of 14 months. A small subset of patients live &gt; 3 years and are classified as long-term survivors (LTS). To better understand factors influencing prognosis, we conducted a large retrospective single institution study using a novel method to identify LTS characteristics. Methods: Using a combination of regular expression (RegEx) search and natural language processing (NLP) in Python, data extracted from the radiology information system (RIS) was used to identify 4425 patients who presented at MD Anderson Cancer Center from 2006-2021 with a pathology-confirmed diagnosis of glioblastoma. Reports mentioning GBM were extracted using RegEx, and we defined overall survival (OS) as the duration between the date of the first CT or MRI report mentioning GBM and the last report on record. To verify the accuracy of this method, we performed a chart review where OS was defined as the date of pathological GBM diagnosis to the current date or date of death. Results: Cases with &lt; 4 imaging reports were filtered to ensure high quality data yielding 2430 patients. The validation of NLP survival determination revealed a sensitivity and specificity of 94.7% and 97.6%, respectively and a mean absolute error percentage of 19.40% when tested against manual chart review. Mean OS of the GBM patients was 631 days. 38.9% (n = 946) of patients were female with average survival of 22.56±27.94 months while 61.1% (n = 1484) were male with an average survival of 19.55±25.96 months (p = 0.008). 61.1% (n = 1485) survived ≤1 year, 28.1% (n = 682) survived 1-3 years, and 10.8% (n = 263) survived ≥3 years. Average age for short-term survivors (STS) (&lt; 1 year) was 52.42 ± 13.698 months and average age for LTS (&gt; 3 years) was 54.75±13.965 months (p &lt; 0.001). IDH mutants had a mean survival of 38.20 months while IDH wildtype patients survived 17.69 months (p &lt; 0.0001). MGMT unmethylated patients had a mean survival of 13.70 months while methylated MGMT patients survived 23.99 months (p &lt; 0.0001). Conclusions: Our OS statistics align with past literature. IDH mutants had better survival than wildtype and MGMT methylated tumors had better survival than unmethylated tumors. There was a significant difference in OS between male and female patients and in age between LTS and STS. Filtering patients with &lt; 4 imaging reports removed poor quality patient data and likely left-skewed our data as the appearance of poor-quality patient data overlaps with those with exceptionally short survival. Our NLP method is a reliable method by which to large oncologic population trends. Understanding differences between LTS and STS can help with improving individualized treatment strategies. Our database is also well positioned for future studies, especially those relating the effects of radiation, chemotherapy, extent of resection, and imaging characteristics on survival.

Long-term survival of glioblastoma: A systematic analysis of literature about a case

IntroductionIn spite of the changes for the treatment of glioblastoma since 2005, we have not seen differences between long-survival patients of more than 10 years showing a value minor than 1%. Material and methodWe realize a systematic analysis and identify important factors for long survivor patients. We also show an own case with more of 20 years of survival. We make a new pathological study of the old paraffin block of this patient. ResultsThe most important variable associated with long-survival between all multivariant studies is the age. When we try to find genetic and molecular alterations in glioblastoma associated with prolongated survival, the MGMT promoter methylation play the most important role. We find a correct diagnosis in the current analysis of our patient’s sample with very long survival. ConclusionsMultiple variables are found that affect long survival of glioblastoma series but analyzed studies are very heterogeneous and it is very difficult comparation between them. Most articles we review are obtained from databases of different countries with hundreds of patients. It would be very interesting to promote the use of a single database in Spain that allows us to study these long-term glioblastoma survivors.

Characteristics of glioblastoma long-term survivors

Abstract Aims Glioblastoma (GBM) is the commonest and most aggressive primary malignant brain tumour in adults. A small number of patients survive for &amp;gt;5 years and are referred to as long-term survivors (LTS). This study aimed to quantify and characterise GBM LTS in a single large UK centre. Method A retrospective observational cohort study was performed. Patients diagnosed with GBM in a single UK centre between 2000–2011 (inclusive) who survived &amp;gt;5 years from diagnosis were included. Histopathological samples were re-examined as per the WHO 2016 classification criteria and tested for molecular biomarkers including MGMT promoter methylation, IDH1/2 mutations, 1p19q codeletion and ATRX. Demographic, imaging, treatment and outcome data were collected. Results 1130 patients diagnosed with GBM were identified, 30 of whom survived for &amp;gt;5 years. Twenty-three were re-confirmed as GBM histologically and seven were reclassified as anaplastic oligodendroglioma or anaplastic astroctyoma. Median overall survival for this cohort was 6.2 years. We report a 2% 5-year survival, and a 0.7% 7-year survival. LTS-associated factors were younger age (&amp;lt;65 years old), frontal unilateral tumours, maximal management (surgery and chemoradiotherapy), good post-operative performance status (WHO &amp;lt;2), MGMT promoter methylation and IDH1/2 mutation. Conclusion A small subset of GBM patients survive for &amp;gt;5 years. Most still succumb to the disease, implying 5-year survival is not indicative of a cure. On applying current molecular markers, a quarter of previously diagnosed glioblastoma in this LTS population were revised to be WHO grade III gliomas.

Large-Scale Transcriptomics-Driven Approach Revealed Overexpression of CRNDE as a Poor Survival Prognosis Biomarker in Glioblastoma.

Simple SummaryMost glioblastoma patients succumb to the disease within 12 to 18 months, and only 9% are alive 2 years after diagnosis. Even with extensive research, the life expectancy of glioblastoma patients has not changed in decades. We aimed to identify differences in the transcriptomic profiles of glioblastoma patients with long and short survival. With large-scale transcriptomic analysis, we examined information from publicly available datasets (TCGA and CGGA) in combination with FFPE patient tissue samples. We identified one gene, the long noncoding RNA CRNDE, whose overexpression is directly correlated with poor patient survival. Therefore, we suggest its further confirmation as a negative prognostic glioblastoma biomarker. Glioblastoma management still lacks suitable diagnostic, predictive, and prognostic biomarkers for early disease diagnosis, and treatment follow-up. We believe our findings can serve as the basis for identification of new and potential suitable disease biomarkers by looking beyond the classical molecules (DNA, RNA, and proteins) into the noncoding genome.Glioblastoma is the most common and malignant brain malignancy worldwide, with a 10-year survival of only 0.7%. Aggressive multimodal treatment is not enough to increase life expectancy and provide good quality of life for glioblastoma patients. In addition, despite decades of research, there are no established biomarkers for early disease diagnosis and monitoring of patient response to treatment. High throughput sequencing technologies allow for the identification of unique molecules from large clinically annotated datasets. Thus, the aim of our study was to identify significant molecular changes between short- and long-term glioblastoma survivors by transcriptome RNA sequencing profiling, followed by differential pathway-activation-level analysis. We used data from the publicly available repositories The Cancer Genome Atlas (TCGA; number of annotated cases = 135) and Chinese Glioma Genome Atlas (CGGA; number of annotated cases = 218), and experimental clinically annotated glioblastoma tissue samples from the Institute of Pathology, Faculty of Medicine in Ljubljana corresponding to 2–58 months overall survival (n = 16). We found one differential gene for long noncoding RNA CRNDE whose overexpression showed correlation to poor patient OS. Moreover, we identified overlapping sets of congruently regulated differential genes involved in cell growth, division, and migration, structure and dynamics of extracellular matrix, DNA methylation, and regulation through noncoding RNAs. Gene ontology analysis can provide additional information about the function of protein- and nonprotein-coding genes of interest and the processes in which they are involved. In the future, this can shape the design of more targeted therapeutic approaches.

Abstract 1785: Inhibition of the IDO-Kyn-AhR cascade optimizes virotherapy in glioblastoma and depends on CD4 T-cell activation

Abstract Immune enhancement of virotherapy by reshaping the tumor immune landscape may improve its success rates. IDO, an IFNγ inducible tryptophan catabolizing enzyme, is upregulated in glioblastoma, correlating with poor prognoses. IDO-mediated tryptophan depletion in the tumor-microenvironment decreases viral replication and diminishes cell proliferation and induces apoptosis of surrounding effector T-cells. Furthermore, kynurenine (kyn), a metabolite of tryptophan, induces T-cell differentiation into Tregs. Excess kynurenine also elicits AhR-mediated lymphocyte dysfunction and immunosuppression. The immune stimulating effect of oncolytic-virus, D24-RGDOX, clinically known as DNX-2440, triggers IFNγ production contributing to a positive IDO-Kyn-AhR feedback loop. Thus, we hypothesized that combining D24-RGDOX with IDO inhibitors will synergize to treat glioblastoma. We studied the IDO-Kyn-AhR cascade in response to D24-RGDOX infection in human and murine glioblastoma cells. Orthotopic syngeneic glioblastoma mouse models were used to determine efficacy and tumor immune effects of D24-RGDOX and IDO inhibitors as single agents or as a combination treatment. We characterized IDO and AhR in D24-RGDOX infected cancers using immunofluorescence, qRT-PCR, and flow cytometry and found increased expression of both proteins in vitro and in vivo compared to mock infected controls. D24-RGDOX also increased activity of AhR in cancer cells as indicated by an AhR responsive elements transcription assay. Furthermore, we showed that viral protein expression and viral activity was enhanced in D24-RGDOX infected cultures under IDO inhibition. To test the therapeutic efficacy of combining D24-RGDOX with IDO inhibitors, we used a murine immunocompetent glioblastoma model; the combination produced 30% more long-term survivors compared D24-RGDOX alone (P=0.03, log-rank test). Next, lymphocytic depletion studies illustrated that this anticancer effect was dependent on CD4+ T-cell activation. We observed 100% survival in the re-challenged long-term glioblastoma survivors, indicating the establishment of immune memory by the combination. Functional studies showed significant increases in anti-tumor activity of splenocytes from combination-treated mice compared to D24-RGDOX-treated mice (P=0.009, student t-test). Flow cytometry studies revealed that combination-treated mice yielded the highest levels of chronically activated T-cells and lowest levels of Tregs and MDSCs compared to D24-RGDOX alone (P≤0.05 in all populations, student t-test). This microenvironment remodeling correlated with complete tumor elimination. Altogether, D24-RGDOX activates the IDO-Kyn-AhR cascade in gliomas, identifying new targets, which when inhibited have the potential to enhance the anti-glioma effect of oncolytic-viruses by reversing tumor immunosuppression. Citation Format: Teresa T. Nguyen, Dong Ho Shin, Hong Jiang, Derek A. Wainwright, Sagar Sohoni, Sumit Gupta, Ashley Ossimetha, Frederick Lang, Marta Alonso, Candelaria Gomez-Manzano, Juan Fueyo. Inhibition of the IDO-Kyn-AhR cascade optimizes virotherapy in glioblastoma and depends on CD4 T-cell activation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1785.

MRI Imaging Characteristics of Glioblastoma with Concurrent Gain of Chromosomes 19 and 20

Glioblastoma (GBM) is the most common and deadly primary brain tumor in adults. Some of the genetic variations identified thus far, such as IDH mutation and MGMT promotor methylation, have implications for survival and response to therapy. A recent analysis of long-term GBM survivors showed that concurrent gain of chromosomes 19 and 20 (19/20 co-gain) is a positive prognostic factor that is independent of IDH mutation status. In this study, we retrospectively identified 18 patients with 19/20 co-gain and compared their imaging features to a control cohort without 19/20 co-gain. Imaging features such as tumor location, size, pial invasion, and ependymal extension were examined manually. When compared without further genetic subclassification, both groups showed similar imaging features except for rates of pial invasion. When each group was subclassified by MGMT promotor methylation status however, the two groups showed different imaging features in a number of additional ways including tumor location, size, and ependymal extension. Our results indicate that different permutations of various genetic mutations that coexist in GBM may interact in unpredictable ways to affect imaging appearance, and that imaging prognostication may be better approached in the context of the global genomic profile rather than individual genetic alterations.

EXTH-45. DELTA-24-RGDOX ACTIVATION OF THE IDO-KYN-AHR CASCADE IN GLIOBLASTOMA: OLD TARGETS FOR A NEW THERAPY

Abstract Immune enhancement of virotherapy by reshaping the tumor immune landscape may improve its success rates. IDO, an IFNγ inducible tryptophan catabolizing enzyme, is upregulated in glioblastoma, correlating with poor prognoses. IDO-mediated tryptophan depletion in the tumor-microenvironment decreases proliferation and induces apoptosis of surrounding effector T-cells. Kynurenine, a metabolite of tryptophan, induces T-cell differentiation into immunosuppressive Tregs. Excess kynurenine elicits AhR-mediated lymphocyte dysfunction and immunosuppression. The immune stimulating effect of oncolytic-virus, Delta-24-RGDOX, triggers IFNγ production contributing to a positive IDO-Kynurenine-AhR feedback loop. We hypothesized that combining Delta-24-RGDOX with IDO inhibitors will synergize to effectively treat glioblastoma. We characterized IDO and AhR in Delta-24-RGDOX infected cancers using immunofluorescence, qRT-PCR, and flow cytometry and found increased expression of both proteins in vitro and in vivo. We also observed induction of AhR in CD4+ and CD8+ T-cells by Delta-24-RGDOX in vivo. Delta-24-RGDOX also increased activity of AhR in cancer cells as indicated by an AhR responsive elements transcription assay. We used a murine glioblastoma model to test the efficacy of combining Delta-24-RGDOX with IDO inhibitor, 1MT/indoximod; the combination produced 30% more long-term survivors compared Delta-24-RGDOX alone (P=0.03), which we showed, through lymphocytic depletion studies, was dependent on CD4+ T-cell activation. We observed 100% survival in the re-challenged long-term glioblastoma survivors, indicating the establishment of immune memory by the combination. Functional studies showed significant increases in anti-tumor activity of splenocytes from combination-treated mice compared to Delta-24-RGDOX-treated mice (P=0.009). Flow cytometry studies revealed that combination-treated mice yielded the highest levels of chronically activated T-cells and lowest levels of Tregs and myeloid derived suppressor cells compared to Delta-24-RGDOX single treatment (P≤0.05). This microenvironment remodeling correlated with complete tumor elimination. Altogether, Delta-24-RGDOX activates the IDO-Kyn-AhR cascade in gliomas, identifying new targets, which when inhibited have the potential to enhance the anti-glioma effect of oncolytic-viruses by reversing tumor immunosuppression.

Aggressive Treatment in Glioblastoma: What Determines the Survival of Patients?

The exact reason of long-term survival in glioblastoma (GBM) patients has remained uncertain. Molecular parameters in addition to histology to define malignant gliomas are hoped to facilitate clinical, experimental, and epidemiological studies. A population of GBM patients with similar clinical characteristics (especially similar resectability) was reviewed to compare the molecular variables between poor (overall survival [OS] < 18 months, control cohort) and long-term survivors (overall survival > 36 months, OS-36 cohort). Long-term GBM survivors were younger. In the OS-36 cohort, the positive rate of isocitrate dehydrogenase (IDH) mutation was very low (7.69%, 3/39) and there was no statistical difference in OS between IDH mutant and wild-type patients. The results of 1p/19q codeletions are similar. Besides, there were no significant difference in MGMT promoter methylation, telomerase reverse transcriptase (TERT) promoter mutation, and TP53 mutations between OS-36 cohort and control cohort. No distinct markers consistently have been identified in long-term survivors of GBM patients, and great importance should be attached to further understand the biological characteristics of the invasive glioma cells because of the nature of diffuse tumor permeation.

Surviving glioblastoma and a sense of disconnection

Given the poor prognosis of glioblastoma, little focus has been placed on the needs of long-term survivors (those alive at least two years following diagnosis). The aim of this project was to explore the lived experience of long-term survivors of glioblastoma using a qualitative approach. Long-term survivors of glioblastoma diagnosed between 1/1/2006–31/12/2016 were identified at the tertiary centre involved. Participants underwent a semi-structured qualitative interview and caregiver dyads were collected if available. Thematic analysis was undertaken where themes were gradually generated from the data alongside data collection and confirmed or contrasted as data collection proceeded. Participants were selected and interviewed until data saturation was reached at 10 interviews. The overarching theme explaining the data was a sense of disconnection, beginning with the shock of diagnosis, and evolving over time, leading survivors to feel disconnected from (1) ‘who I was’, redefining their work, independence and social self; (2) ‘who I am’, contributing to social isolation, disavowal, and anxiety and depression; and (3) ‘who I could be’, reassessing their future. This unique study highlights the acute emotional distress and disconnection that begins with diagnosis and its evolving impact on the lived experience. Clinicians need to consider the emotional impact of survival when managing these patients and adopt a holistic approach, including the early introduction of psychosocial support to patients and their caregivers. Further validation of these findings in a larger cohort is desirable.

Genome-wide methylation analysis in long-term survivors of glioblastoma (GBM).

2552 Background: Identification of tumor characteristics that may be associated with survival in patients with glioblastoma (GBM) has been largely characterized by IDH mutations and MGMT promoter methylation status. However, these genetic changes and other currently available data are not sufficient to explain the longevity experienced by a subset of long-term survivors (LTS) - patients surviving longer than 3 years past diagnosis. Methods: The study identified GBM patients established and treated at University of Iowa Holden Comprehensive Cancer Center from 2007-2017 whose disease recurred after initial resection. Patients were categorized LTS if they survived &gt; = 3 years beyond initial definitive resection; short-term survivors (STS) if less than 3 years. Pathologic specimens at initial and repeat resection underwent genome wide methylation analysis using the Infinium EPIC microarray system. Data were analyzed to identify genes that exhibited differentially methylated CpG regions. Results: Resection specimens from GBM survivors were compared to those of STS. A total of 29 samples were analyzed and compared (15 LTS and 14 STS samples). Multidimensional scaling plots identified significant differences in genomic constitution between LTS and STS specimens. Granular analysis yielded 89 differentially methylated regions significantly associated with long-term survival (adjusted p &lt; 0.05). PTPRN2 (p = 0.000376), PTPN11 (p = 1.38E-05), and PAX6 (p = 0.000671) were found to exhibit numerous differentially methylated CpG sites between MGMT-methylated vs. unmethylated specimens. Further notable, higher levels of differentially methylated CpG shores and open-seas regions on chromosome 12 were associated with long-term survival (p = 1.89E-08). Conclusions: Our study identified multiple significant epigenetic differences that, functionally or consequentially, may be associated with extended survival in GBM patients. The implication that CpG shores, rather than islands, are associated with long-term survival raises further intriguing questions regarding the depth of epigenetic complexity in this disease. More immediately, the surprising association of multiple protein phosphatases with LTS in our study may hint at the class’ previously unspecified, yet integral, role in delaying disease progression and identify new, novel avenues for therapy.

Abstract A30: Combined IDO inhibitor and OX40L-armed-oncolytic-adenovirus therapy improves survival in murine glioblastoma

Abstract Glioblastoma diagnoses associate with upregulation of the immunosuppressive indoleamine-2,3-dioxygenase (IDO) enzyme, which correlates with poor prognoses. IDO inhibitors are immunometabolic adjuvants that can reverse protumor immunosuppression through increasing effector T-cell metabolism. To further stimulate antitumor T-cell activation, the OX40L-armed-oncolytic-adenovirus (Delta-24-RGDOX) can be used, which has shown to induce immune mechanisms that activate antitumor cytotoxic properties of T cells. Thus, we hypothesized that combining IDO inhibitors and Delta-24-RGDOX synergizes to produce a therapeutic effect in glioblastoma. In this study, we used a syngeneic glioblastoma orthotopic immunocompetent model to test the efficacy of combining Delta-24-RGDOX and an IDO inhibitor (1MT or indoximod). Delta-24-RGDOX treatment resulted in a significant survival benefit compared to the control groups (mean survival, 46.5 vs. 38.5 days, P=0.02). Interestingly, the combination of Delta-24-RGDOX and 1MT produced a higher percentage of long-term survivors compared to single therapy with Delta-24-RGDOX (50% vs. 20%, P=0.03). Moreover, when these long-term glioblastoma survivors were rechallenged with the same glioblastoma cells, we observed 100% survival, indicating the establishment of immune memory by the combination therapy. Furthermore, functional studies showed a significant increase in antitumor activity of splenocytes from glioblastoma-bearing combination-treated mice compared to Delta-24-RGDOX-treated mice (P=0.009). Additionally, immunophenotyping by flow cytometry revealed that glioblastoma-bearing combination-treated mice yielded the highest levels of PD-1/TIM-3/CD8+ T cells compared to all other treatment groups and decreased levels of immune-tolerant populations, including regulatory T cells and myeloid-derived suppressor cells, compared to Delta-24-RGDOX-only treated mice, and correlated with complete tumor elimination. Most importantly, these data support the use of immunometabolic adjuvants combined with virotherapy as a treatment for glioblastoma to improve its dismal outcomes. Citation Format: Teresa T. Nguyen, Dong Ho Shin, Hong Jiang, Frederick Lang, Candelaria Gomez-Manzano, Juan Fueyo. Combined IDO inhibitor and OX40L-armed-oncolytic-adenovirus therapy improves survival in murine glioblastoma [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2019 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2020;8(3 Suppl):Abstract nr A30.

Long-term survivors of glioblastoma are a unique group of patients lacking universal characteristic features.

Long-term survivors of glioblastoma are a unique group of patients lacking universal characteristic features.

Feasibility study of finalizing the extended adjuvant temozolomide based on methionine positron emission tomography (Met-PET) findings in patients with glioblastoma

In the management of patients with newly diagnosed glioblastoma, there is no standard duration for adjuvant temozolomide treatment. This study aimed to assess the feasibility of finalizing adjuvant temozolomide treatment on the basis of methionine uptake in methionine positron emission tomography (Met-PET). We conducted a retrospective review of glioblastoma patients who underwent more than twelve cycles of temozolomide (extended temozolomide) treatment after resection and concomitant chemoradiotherapy with no evidence of recurrence on MRI. In addition to the methionine uptake value at the completion of extended temozolomide, local and distant recurrence and progression-free survival were also analyzed. Forty-four patients completed the extended temozolomide treatment. Among these, 18 experienced some type of tumor recurrence within one year. A Tmax/Nave value of 2.0 was the optimal cut-off value indicating progression. More than 80% of the patients with low methionine uptake completed the temozolomide treatment, and subsequent basic MRI observations showed no recurrence within one year after Met-PET. Subgroups with high uptake (≥2.0), even with continuation of temozolomide treatment, showed more frequent tumor progression than patients with low uptake (<2.0) who completed the extended temozolomide treatment (p < 0.001, odds ratio 14.7, 95% CI 3.46–62.3). The tumor recurrence rate increased in stepwise manner according to methionine uptake. Finalization of the extended temozolomide treatment on the basis of low uptake value was feasible with a low recurrence rate. Compared to MRI, Met-PET shows better ability to predict tumor progression in long-term glioblastoma survivors with extended temozolomide use.

GENE-06. INTEGRATIVE ANALYSIS OF DNA METHYLATION SUGGESTS DOWN-REGULATION OF ONCOGENIC PATHWAYS AND REDUCED SOMATIC MUTATION RATES IN SURVIVAL OUTLIERS OF GLIOBLASTOMA

Abstract The study of survival outliers of glioblastoma (GBM) can provide important clues on gliomagenesis as well as on the ways to alter clinical course on this almost uniformly lethal cancer type. However, there has been little consensus on genetic and epigenetic signatures of the long-term survival outliers of GBM. In this study, we compared the two groups of survival outliers of glioblastoma with IDH wild-type, consisting of the GBM patients who lived longer than 3 years (n=17) and the patients who lived less than 1 year (n=12) in terms of genome-wide DNA methylation profile. Statistical analyses were performed to identify differentially methylated sites between the two groups. Functional implication of long-term survivors of GBM (LTS-GBM)-specific sites were investigated by comprehensive enrichment analyses with genomic and epigenomic features. We found that the genome of LTS-GBM is differentially methylated relative to short-term survivor patients depending on CpG density: hypermethylation near CpG islands (CGIs) and hypomethylation far from CGIs. Interestingly, these two patterns are associated with distinct oncogenic aspects in gliomagenesis. In the LTS-GBM-specific sites distant from CGI, somatic mutations of GBM are enriched with higher DNA methylation, suggesting that the hypomethylation in LTS-GBM can contribute to reduce the rate of somatic mutation. On the other hand, the hypermethylation near CGIs associates with transcriptional downregulation of genes involved in cancer progression pathways. Using independent cohorts of IDH1/2- wild type GBM, we also showed that these two patterns of DNA methylation can be used as molecular markers of LTS-GBM. Our results provide extended understanding of DNA methylation, especially of DNA hypomethylation, in cancer genome and reveal clinical importance of DNA methylation pattern as prognostic markers of GBM.

Progress Toward Long-Term Survivors of Glioblastoma

ObjectiveTo identify the frequency and characteristics of long-term survivors of glioblastoma. Patients and MethodsUsing all cases of glioblastoma with histopathological confirmation in the National Cancer Database from January 1, 2004, through December 31, 2009, clinical, institutional, and treatment-related factors were evaluated with multivariable logistic regression models so as to elucidate factors independently associated with higher than 5-year overall survival after diagnosis. ResultsA total of 48,652 patients met the inclusion criteria, with 2249 (4.6%) achieving 5-year survival. Factors associated with odds of improved 5-year overall survival in multivariable analysis were younger age, female sex, less medical comorbidities, nonwhite race, highest median income quartile, left-sided tumors and tumors outside the brainstem, and treatment with radiotherapy (P<.05 for all). The percentage of patients surviving 5 years remained relatively unchanged over the 6-year study period (P=.97). ConclusionDespite improvements in median and short-term overall survival shown in recent large clinical trials for glioblastoma, the percentage of patients with glioblastoma achieving 5-year overall survival remains low. This observation calls for the development of practice-redefining therapies and justifies the increased application of radical novel and experimental treatment paradigms for all patients with glioblastoma.

Second primary cancers in long-term survivors of glioblastoma.

Overall survival (OS) in glioblastoma (GBM) is poor at an average of 14 to 18 months, and long-term survivors (LTS) of GBM are rare. LTS of GBM, defined as surviving >5 years postdiagnosis, represent only 2% to 10% of all GBM patients. LTS of cancer are at high risk of developing second primary neoplasms. This study looks at occurrences of second primary neoplasms in LTS of GBM. Records from adult patients newly diagnosed with GBM between January 1, 1998 and February 8, 2010, were retrospectively reviewed to identify LTS, defined as patients who survived ≥5 years. We focused on the identification of a new diagnosis of cancer occurring at least 2 years after the initial GBM diagnosis. We identified 155 LTS of GBM, with a median OS of 11.0 years (95% CI: 9.0 to 13.1 years) and a median follow-up of 9.6 years (95% CI: 8.7 to 10.7 years). In this cohort of patients, 13 (8.4%) LTS of GBM developed 17 secondary cancers. Eight could potentially be attributed to previous radiation and chemotherapy (skin cancer in radiation field [n = 4], leukemia [n = 2], low-grade glioma [n = 1], and sarcoma of the scalp [n = 1]). The other 9 cases included melanoma (n = 2), prostate cancer (n = 2), bladder cancer (n = 1), endometrioid adenocarcinoma (n = 1), basal cell carcinoma (n = 1), and renal cell carcinoma (n = 1). Although second primary cancers are rare in GBM LTS, providers should continue close monitoring with appropriate oncologic care. Moreover, this highlights the need for survivorship care of patients with GBM.

Genetic secrets of long-term glioblastoma survivors.

Glioblastomas are the most aggressive and lethal primary astrocytic tumors of the central nervous system. They account for 60% to 70% of all gliomas and the majority are diagnosed in Caucasian male patients at advanced age. Genetic analyses of glioblastoma show a great intra- and inter-tumor heterogeneity, which opens up a debate about its cellular origin. Different types of brain cells, including astrocytes, neural stem cells, oligodendrocyte precursor cells and glioblastoma stem cells are proposed to have a role in tumor initiation and spreading; however, data is still inconclusive. Due to short life expectancy, long-term glioblastoma survivors are defined as patients who live longer than two years post-diagnosis. Extreme survivors, living 10 years or more after diagnosis, comprise less than 1% of all patients. Molecular testing indicates genetic differences between short- and long-term survivors with glioblastoma. The most informative are IDH1/2 gene mutations and MGMT promoter methylation, which are associated with a better response to standard clinical care. Moreover, a decreased expression of the CHI3L1, FBLN4, EMP3, IGFBP2, IGFBP3, LGALS3, MAOB, PDPN, SERPING1 and TIMP1 genes has been associated with prolonged survival. In addition, emerging evidence suggests the role of different microRNAs in predicting patient survival. Other factors that may affect the survival of glioblastoma patients include clinical/demographic characteristics such as seizures at presentation, age at diagnosis, and the extent of surgical resection. Because of the small number of long-term survivors with glioblastoma, comparative studies on genetic differences between short- and long-term survivors are challenging. To improve patient management and clinical outcomes, a thorough "omics" approach is necessary for identifying differences between short- and long-term survivors with glioblastoma.