2021
DOI: 10.1016/j.ygyno.2021.02.038
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Chromosome instability is prevalent and dynamic in high-grade serous ovarian cancer patient samples

Abstract: • Chromosome instability (CIN) is prevalent and dynamic in high-grade serous ovarian cancer (HGSOC). • Quantitative imaging microscopy reveals 91% of ascites (26 samples) and 100% of solid tumours (36 samples) exhibit CIN. • CIN increases with disease progression and decreases following chemotherapy treatment. • Higher levels of CIN occur in solid tumour samples relative to patient-matched ascites samples. • Data suggest that cells with lower levels of CIN may be more amendable to metastatic spread.

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Cited by 28 publications
(25 citation statements)
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References 52 publications
(78 reference statements)
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“…Using a combination of siRNA and CRISPR/Cas9 approaches, they demonstrated that reduced expression corresponded with significant changes in nuclear areas, micronucleus formation and chromosome numbers. They further showed that CIN was prevalent and dynamic over an ∼3-month timeframe, which is key given recent evidence showing that CIN is both pervasive and dynamic in ascites (an accumulation of abdominal fluid containing tumor cells) and solid tumor samples isolated from patients with high-grade serous ovarian cancer ( Penner-Goeke et al, 2017 ; Morden et al, 2021 ). Collectively, these data identify SKP1 as a novel CIN gene and further suggest that reduced expression may contribute to cancer pathogenesis.…”
Section: Aberrant Skp1 Expression Induces Cin That...mentioning
confidence: 93%
“…Using a combination of siRNA and CRISPR/Cas9 approaches, they demonstrated that reduced expression corresponded with significant changes in nuclear areas, micronucleus formation and chromosome numbers. They further showed that CIN was prevalent and dynamic over an ∼3-month timeframe, which is key given recent evidence showing that CIN is both pervasive and dynamic in ascites (an accumulation of abdominal fluid containing tumor cells) and solid tumor samples isolated from patients with high-grade serous ovarian cancer ( Penner-Goeke et al, 2017 ; Morden et al, 2021 ). Collectively, these data identify SKP1 as a novel CIN gene and further suggest that reduced expression may contribute to cancer pathogenesis.…”
Section: Aberrant Skp1 Expression Induces Cin That...mentioning
confidence: 93%
“…, oncogenes, tumor suppressor, DNA repair genes) contributing to intratumoral heterogeneity. We demonstrated that CIN is dynamic in HGSOC patient samples throughout their course of treatment, and that CIN levels are typically higher in chemoresistant compared to chemosensitive patients [30] . The ability of L-Rham to kill patient-derived HGSOC cells was unaffected by CIN status or chemotherapy-sensitivity, suggesting GAELs may be effective agents to improve outcome in HGSOC patients.…”
Section: Discussionmentioning
confidence: 79%
“…HGSOC is a genetically unstable disease [ [24] , [25] , [26] , [27] ] characterized by a type of genomic instability called chromosome instability (CIN) [ [28] , [29] , [30] , [31] , [32] ]. CIN is defined by an increase in the rate at which whole chromosomes or large parts are gained or lost [33] , and is associated with intratumoral heterogeneity, poor patient outcome, and chemoresistance [ [33] , [34] , [35] , [36] , [37] , [38] ].…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, functional studies are now required to determine the specific outcomes driven by aberrant expression and/or function of each SCF complex member gene and its impact on substrate accumulation to better understand the molecular determinants giving rise to cancer development, which will be critical to develop innovative precision medicine strategies to better combat the disease. For instance, as aberrant SCF complex function is associated with CIN [ 9 , 10 , 12 ], developing biomarkers to detect abnormal SCF complex expression could aid early diagnosis in cancers that exhibit high levels of CIN, including colorectal [ 99 ] and ovarian cancers [ 100 , 101 ], where early disease detection will be critical to ultimately improve patient outcomes [ 102 , 103 ]. Thus, future studies need to be designed that compile and analyze patient sample datasets for mutations, CNAs and methylation changes with matched normal samples and patient outcomes to gain a comprehensive understanding of how genetic alterations are associated with disease and their impact on patient outcomes.…”
Section: Discussionmentioning
confidence: 99%