By conducting a systemic search of the PubMed database, we performed a comprehensive literature review to characterize secondary gliomas following radiotherapy treatment and to determine the most appropriate treatment strategy. Our analysis included 296 cases of radiation-induced gliomas. The primary lesion was characterized as a hematological malignancy in 104 cases (35.1 %), pituitary adenoma in 35 (11.8 %), craniopharyngioma in 19 (6.4 %), medulloblastoma in 38 (12.8 %), germ cell tumor in 13 (4.3 %), low-grade glioma in 28 (9.4 %), cancer/sarcoma in 12 (4.0 %), scalp region disease in 15 (5.0 %), meningioma/schwannoma in 13 (4.3 %), metastatic brain tumor in 5 (1.6 %), and other types (e.g., arteriovenous malformations and angiomas) in 14 (4.7 %). The average age of onset for primary lesions was 16.0 ± 15.8 years, and the average radiation dose delivered to the primary lesion was 37.6 ± 20.0 Gy. Secondary gliomas could be divided into grade I (1), grade II (32), grade III (88), and grade IV (173) tumors. The median overall survival for all glioma cases was 11 months (95 % confidence interval [CI], 9-12), with a 2-year survival rate of 20.2 %. On multivariate analysis, combined modality treatment and the latency period from the radiotherapy treatment to the glioma diagnosis were variables associated with the overall survival of patients with grade III/IV secondary gliomas. For patients treated with cranial radiotherapy, the risk of secondary glioma incidence warrants a longer follow-up period beyond the standard time frame typically designated for determining the risk of primary tumor relapse. Moreover, combination therapy is a potential treatment option for radiation-induced gliomas.
Common cancer treatments include radiation therapy, chemotherapy including molecular targeted drugs and anticancer drugs, and surgical treatment. Recent studies have focused on investigating the mechanisms by which immune cells attack cancer cells and produce immune tolerance-suppressing cytokines, as well as on their potential application in cancer immunotherapy. We conducted expression profiling of CD274 (PD-L1), GATA3, IFNG, IL12R, IL12RB2, IL4, PDCD1 (PD-1), PDCD1LG2 (PD-L2), and TBX21 (T-bet) using data of 158 glioblastoma multiforme (GBM) patients with clinical information available at The Cancer Genome Atlas. Principal component analysis of the expression profiling data was used to derive an equation for evaluating the status of Th1 and Th2 cells. GBM specimens were divided based on the median of the Th scores. The results revealed that Th1HighTh2Low and Th1LowTh2Low statuses indicated better prognosis than Th1HighTh2High, and were evaluated based on the downregulation of PD-L1, PD-L2, and PD-1. Furthermore, Th2Low divided based on the threshold, as well as CD274Low and PDCD1Low, were associated with good prognosis. In the Th2Low subgroup, 14 genes were identified as potential prognostic markers. Of these, SLC11A1Low, TNFRSF1BLow, and LTBRLow also indicated good prognosis. These results suggest that low Th2 balance and low activity of the PD-L1/PD-1 axis predict good prognosis in GBM. The set of genes identified in the present study could reliably predict survival in GBM patients and serve as useful molecular markers. Furthermore, this set of genes could prove to be novel targets for cancer immunotherapy.
Recent progress in anti-tumor immunotherapy has focused on the significance of the tumor microenvironment in tumor progression and resistance to chemo/radio-therapy. Myeloid cells such as macrophages are predominant stromal components in hematological malignancies. In the present study, we investigated the regulation of programmed death-1 (PD-1) ligand expression in primary central nervous system lymphoma (PCNSL) using PCNSL cell lines and human monocyte-derived macrophages. TK PCNSL cell line-derived soluble factors induced overexpression of PD-1 ligands, indoleamine 2,3-dioxygenase (IDO1), and several other cytokines in macrophages. The expression of PD-1 ligands was dependent on the activation of signal transducer and activator of transcription 3. PD-L1 and IDO1 were overexpressed by macrophage/microglia in PCNSL tissues, and gene expression profiling indicated that IDO1 expression was positively correlated with the expression of macrophage and lymphocyte markers. Macrophage-derived factors did not influence the proliferation or chemo-sensitivity of cell lines. These data suggest that the expression of immunosuppressive molecules, including PD-1 ligands and IDO1, by macrophage/microglia may be involved in immune evasion of lymphoma cells.
Exome-sequencing for somatic mutation detection and copy number variation analysis are effective and valid methods for evaluating human cancers in current molecular medicine. We conducted target amplicon exome-sequencing analyses using PCR target enrichment and next-generation sequencing on Ion Proton semiconductor sequencers. Twenty-seven primary central nervous system lymphoma (PCNSL) specimens and their corresponding noncancerous tissues were used for multiplex PCR amplification to obtain targeted coverages of the entire coding regions of 409 cancer-related genes. The average of the total numbers of somatic mutations including single-nucleotide variations and insertion/deletion mutations in each specimen was 13.3. Of these, the average of the ratios of nonsynonymous substitutions in each specimen was 74.8%. The most frequent mutations in 27 specimens were in PIM1, MYD88, CD79B, DST, IRF4, ERBB3, MYH11, DCC, and KMT2D. Furthermore, somatic mutations of MYH11 were related to poor prognoses in PCNSL patients. Copy number variations were also duplicated and/or deleted from deep-sequencing in segmental genomic islands. In addition to these prognostic marker candidates, analysis of RTK-RAS-MAPK signaling and the PTEN-PI3K-AKT proapoptotic pathway showed that somatic activations and aberrations, respectively, may be involved in a promising central oncopathway harboring mTOR, c-Myc, FOXO1, and p53. This study provides a foundation for molecular targeted therapies based on genome diagnostics and prognosis in PCNSL.
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