Medium levels of transcription and replication related chromosomal instability are associated with poor clinical outcome

Genomic instability (GI) influences treatment efficacy and resistance, and an accurate measure of it is lacking. Current measures of GI are based on counts of specific structural variation (SV) and mutational signatures. Here, we present a holistic approach to measuring GI based on the quantification of the steady-state equilibrium between DNA damage and repair as assessed by the residual breakpoints (BP) remaining after repair, irrespective of SV type. We use the notion of Hscore, a BP “hotspotness” magnitude scale, to measure the propensity of genomic structural or functional DNA elements to break more than expected by chance. We then derived new measures of transcription- and replication-associated GI that we call iTRAC (transcription-associated chromosomal instability index) and iRACIN (replication-associated chromosomal instability index). We show that iTRAC and iRACIN are predictive of metastatic relapse in Leiomyosarcoma (LMS) and that they may be combined to form a new classifier called MAGIC (mixed transcription- and replication-associated genomic instability classifier). MAGIC outperforms the gold standards FNCLCC and CINSARC in stratifying metastatic risk in LMS. Furthermore, iTRAC stratifies chemotherapeutic response in LMS. We finally show that this approach is applicable to other cancers.

Identification of ITPR1 as a hub gene of Group 3 Medulloblastoma and coregulated genes with potential prognostic values

The Group 3 Medulloblastoma ( Grp3-MB ) is an aggressive molecular subtype with a high incidence of metastasis and deaths. In this study, were used an RNA sequencing data ( RNA-Seq ) from a Brazinian cohort of MBs to identify hub genes associated with the metastatic risk. Data validation were performed by using multiple large datasets from MBs (GSE85217, GSE37418, EGAS00001001953). DESeq2 package in R software was used to identify the differentially expressed genes ( DEGs ) in our RNA-Seq data. The DEGs data were accessed to construct the modules/graphs of coexpression and to identify hub genes through Cytoscape platform. The co-regulated genes were enriched by the Kyoto Encyclopedia of Genes and Genomes ( KEGG ) pathway and the Protein-protein interaction ( PPI ) network was visualized by Cytoscape. The Kaplan–Meier plotter and ROC curves were used to validate the diagnostic and prognostic values of specific biomarkers identified through this model. We identified that Inositol 1,4,5-triphosphate receptor type 1 ( ITPR1 ) as a downregulated hub gene, with a high diagnostic accuracy to Grp3-MBs and associated with tumor metastasis. In addition, we identified genes significantly correlated with ITPR1 that were associated with metastasis in Grp3-MB ( ATP1A2 , MTTL7A and RGL1) , and worst overall survival in MBs ( ANTXR1 and RGL1 ). Our findings suggest that the ITPR1 hub gene is potentially involved in the metastatic process for Grp3-MB. Our data also provide evidence of targets that may serve as prognostic predictors and/or regulators for the metastatic process that maybe explored for further research of individualized therapy to Grp3-MBs.

Synchronous bilateral pheochromocytomas and extra-adrenal paragangliomas without specific gene mutations

Introduction/Objective Diagnosis of hereditary paraganglioma-pheochromocytoma syndrome (H-PGL/PCC-S) should be suspected in individuals with pheochromocytoma or paraganglioma, especially those with multifocal lesions, positive family history, or early-onset disease. Recent studies suggest one-third to half of these patients have germline/syndromic associations. We present a challenging case wherein a 44-year-old female with high-risk factors, multiple paragangliomas, and bilateral pheochromocytomas did not have any identifiable syndromic involvement. Methods/Case Report Patient presented seven years ago with epigastric pain, weight loss of 50lbs, and chronic diarrhea. Endoscopic ultrasound revealed 2cm hypoechoic mass behind pancreas, diagnosed as neuroendocrine tumor on fine-needle aspiration. Subsequent SPECT-CT and MRI revealed multiple intra-abdominal lesions, including bilateral adrenal-lesions (right 2cm; left 1.6cm), 2.2cm aortocaval-lesion, and multifocal retroperitoneal lesions, consistent with paragangliomas, gradually increasing in size on follow-up imaging. She also developed intermittent palpitations, flushing, and blood pressure fluctuations. Additionally, multiple thyroid nodules were identified on subsequent ultrasound imaging, suspicious for malignancy on both cytology and Afirma studies. Exploratory laparotomy with left para-adrenal, right infra-renal, and aortocaval nodule-excisions revealed nested tumor cells with abundant granular purple cytoplasm, round central nuclei, prominent nucleoli, diagnosed as moderate to poorly differentiated extra-adrenal paragangliomas with increased metastatic risk based on PASS and GAPP-scoring systems. Additionally, right adrenalectomy revealed pheochromocytoma with 7/20 PASS-score and 4/10 GAPP-score suggesting increased metastatic risk. Results (if a Case Study enter NA) NA Conclusion Young age, strong family-history, multiple high-grade paragangliomas, pheochromocytomas, and suspicious thyroid nodules raise concerns for syndromic association. Multitude of autosomal-dominant syndromes, including paraganglioma-syndromes (PGL1-to PGL5), VHL, MEN2A, MEN2B, and NF1, have been reported. Genes identified in these syndromes include SDHA, SDHB, SDHC, SDHD, SDHAF2, MAX, TMEM127, VHL, NF1, RET, FH, and KIF1B. However, no mutations were identified, thus creating a dilemma in risk-stratification. This leaves out only two considerations: either sporadic PGL/PCC or a yet unidentified genetic-mutation.

Analysis of Telomere Maintenance Related Genes Reveals NOP10 as a New Metastatic-Risk Marker in Pheochromocytoma/Paraganglioma

One of the main problems we face with PPGL is the lack of molecular markers capable of predicting the development of metastases in patients. Telomere-related genes, such as TERT and ATRX, have been recently described in PPGL, supporting the association between the activation of immortalization mechanisms and disease progression. However, the contribution of other genes involving telomere preservation machinery has not been previously investigated. In this work, we aimed to analyze the prognostic value of a comprehensive set of genes involved in telomere maintenance. For this study, we collected 165 PPGL samples (97 non-metastatic/63 metastatic), genetically characterized, in which the expression of 29 genes of interest was studied by NGS. Three of the 29 genes studied, TERT, ATRX and NOP10, showed differential expression between metastatic and non-metastatic cases, and alterations in these genes were associated with a shorter time to progression, independent of SDHB-status. We studied telomere length by Q-FISH in patient samples and in an in vitro model. NOP10 overexpressing tumors displayed an intermediate-length telomere phenotype without ALT, and in vitro results suggest that NOP10 has a role in telomerase-dependent telomere maintenance. We also propose the implementation of NOP10 IHC to better stratify PPGL patients.

Therapeutically Targeting Cancers That Overexpress FOXC1: A Transcriptional Driver of Cell Plasticity, Partial EMT, and Cancer Metastasis

Metastasis accounts for more than 90% of cancer related mortality, thus the most pressing need in the field of oncology today is the ability to accurately predict future onset of metastatic disease, ideally at the time of initial diagnosis. As opposed to current practice, what would be desirable is that prognostic, biomarker-based detection of metastatic propensity and heightened risk of cancer recurrence be performed long before overt metastasis has set in. Without such timely information it will be impossible to formulate a rational therapeutic treatment plan to favorably alter the trajectory of disease progression. In order to help inform rational selection of targeted therapeutics, any recurrence/metastasis risk prediction strategy must occur with the paired identification of novel prognostic biomarkers and their underlying molecular regulatory mechanisms that help drive cancer recurrence/metastasis (i.e. recurrence biomarkers). Traditional clinical factors alone (such as TNM staging criteria) are no longer adequately prognostic for this purpose in the current molecular era. FOXC1 is a pivotal transcription factor that has been functionally implicated to drive cancer metastasis and has been demonstrated to be an independent predictor of heightened metastatic risk, at the time of initial diagnosis. In this review, we present our viewpoints on the master regulatory role that FOXC1 plays in mediating cancer stem cell traits that include cellular plasticity, partial EMT, treatment resistance, cancer invasion and cancer migration during cancer progression and metastasis. We also highlight potential therapeutic strategies to target cancers that are, or have evolved to become, “transcriptionally addicted” to FOXC1. The potential role of FOXC1 expression status in predicting the efficacy of these identified therapeutic approaches merits evaluation in clinical trials.

Prognostic Value of the Immunohistochemical Expression of Serine and Arginine-Rich Splicing Factor 1 (SRSF1) in Uveal Melanoma: A Clinico-Pathological and Immunohistochemical Study on a Series of 85 Cases

Uveal melanoma (UM) is the most frequent primary ocular malignancy of adults; it exhibits an almost invariably poor prognosis with onset of liver metastases within 10–15 years after the diagnosis. Serine and arginine-rich splicing factor 1 (SRSF1) is an RNA-binding protein with proto-oncogene functions, including stimulation of angiogenesis, cell migration and cell growth; regarding the complex regulation of tumor angiogenesis, it has been suggested that SRSF1 regulates the alternative splicing of vascular endothelial growth factor-α, promoting the formation of its pro-angiogenic isoform. The immunohistochemical expression of SRSF1 on a series of 85 primary UMs, including 39 metastasizing and 46 non-metastasizing cases, was investigated; to clarify the potential pathogenetic role of SRSF1 in this tumor and its effect on angiogenesis, we correlated our immunohistochemical findings with the clinico-pathological features, the prognostic data and blood vascular microvessel density (MVD) findings of the cases from our series. Cases with higher immunohistochemical expression of SRSF1 also had higher MVD, higher metastatic potential and shorter metastasis-free survival; conversely, cases with lower SRSF1 immunoexpression showed lower MVD, lower metastatic risk and longer metastasis-free survival times. Our results suggested that SRSF1 has a negative prognostic role and a pro-angiogenic function in UM.