scholarly journals Cytological and genetic consequences for the progeny of a mitotic catastrophe provoked by Topoisomerase II deficiency

2019 ◽  
Author(s):  
Cristina Ramos-Pérez ◽  
Margaret Dominska ◽  
Laura Anaissi-Afonso ◽  
Sara Cazorla-Rivero ◽  
Oliver Quevedo ◽  
...  

ABSTRACTTopoisomerase II (Top2) removes topological linkages between replicated chromosomes. Top2 inhibition leads to mitotic catastrophe (MC) when cells unsuccessfully try to split their genetic material between the two daughter cells. Herein, we have characterized the fate of these daughter cells in the budding yeast. Clonogenic and microcolony experiments, in combination with vital and apoptotic stains, showed that 75% of daughter cells become senescent in the short term; they are unable to divide but remain alive. Decline in cell vitality then occurred, yet slowly, uncoordinatedly when comparing pairs of daughters, and independently of the cell death mediator Mca1/Yca1. Furthermore, we showed that senescence can be modulated by ploidy, suggesting that gross chromosome imbalances during segregation may account for this phenotype. Indeed, we found that diploid long-term survivors of the MC are prone to genomic imbalances such as trisomies, uniparental disomies and terminal loss of heterozygosity (LOH), the latter affecting the longest chromosome arms.

2003 ◽  
Vol 25 (3) ◽  
pp. 103-114 ◽  
Author(s):  
Harald Blegen ◽  
John S. Will ◽  
B. Michael Ghadimi ◽  
Hesed‐Padilla Nash ◽  
Anders Zetterberg ◽  
...  

In order to explore whether specific cytogenetic abnormalities can be used to stratify tumors with a distinctly different clinical course, we performed comparative genomic hybridization (CGH) of tumors from patients who were diagnosed with metastatic disease after an interval of less than 2 years or who remained free from distant metastases for more than 10 years. All patients presented with distant metastases after mastectomy indicating that none of the patients in this study was cured and free of remaining tumor cells. Tumors in the group of short‐term survivors showed a higher average number of chromosomal copy alterations compared to the long‐term survivors. Of note, the number of sub‐chromosomal high‐level copy number increases (amplifications) was significantly increased in the group of short‐term survivors. In both short‐ and long‐term survivors recurrent chromosomal gains were mapped to chromosomes 1q, 4q, 8q, and 5p. Copy number changes that were more frequent in the group of short‐term survivors included gains of chromosome 3q, 9p, 11p and 11q and loss of 17p. Our results indicate that low‐ and high grade malignant breast adenocarcinomas are characterized by a specific pattern of chromosomal copy number changes. Furthermore, immunohistochemical evaluation of the expression levels of Ki‐67, p27KIP1, p21WAF1, p53, cyclin A and cyclin E revealed a correlation between increased proliferative activity and poor outcome.


2018 ◽  
Vol 159 (32) ◽  
pp. 1295-1302
Author(s):  
Erika Rozália Kovács ◽  
Sára Tóth ◽  
Dániel János Erdélyi

Abstract: Etoposide is a topoisomerase II inhibitor antitumor agent which is widely used in the treatment of several hematologic malignancies and solid tumors. The therapeutic index of etoposide is quite high, thus its application causes several short-term and long-term side effects which can decrease the chance to cure patients. Drug dosing is based on body surface area calculation; recommendations for individual dosing do not exist yet. The biotransformation and transportation of etoposide are carried out by enzymes and transporters as reported in pharmacogenomic studies published in this area. Nowadays pharmacoepigenetics research has come to the fore. The authors wish to give an insight into the research of the epigenetical changes of the etoposide pathways, especially focusing on published findings on enzymes and transporters with pharmacokinetic relevance. In the future, epigenetical changes of the etoposide pathway might have a great role in diagnostics, prognostics and personalized medicine. Orv Hetil. 2018; 159(32): 1295–1302.


2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Sebastian Adeberg ◽  
Tilman Bostel ◽  
Laila König ◽  
Thomas Welzel ◽  
Juergen Debus ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Huiru Guo ◽  
Hegen Li ◽  
Lihua Zhu ◽  
Jiali Feng ◽  
Xiange Huang ◽  
...  

BackgroundMost lung cancer patients worldwide [stage IV nonsmall cell lung cancer (NSCLC)] have a poor survival: 25%–30% die <3 months. Yet, of those surviving >3 months, 10%–15% (70,000–105,000 new patients worldwide per year) survive (very) long. Surprisingly, little scientific attention has been paid to the question, which factors cause the good prognosis in these NSCLC stage IV long survivors. Therefore, “How long do I still have?” currently cannot be accurately answered. We evaluated in a large group of 737 stage IV NSCLC patients surviving 3.2–120.0 months, the accuracies of short- and long-term survival predictive values of baseline factors, radiotherapy (RT), platinum-based chemotherapy (PBT), and tyrosine kinase inhibitor targeted therapy (TKI-TT).MethodsThis is a noninterventional study of 998 consecutive first-onset stage IV NSCLC patients. A total of 737 (74%) survived 3.2–120.0 months, 47 refused RT, PBT, and TKI-TT. Single and multivariate survival analysis and receiver operating curve (ROC) analysis were used with dead of disease (DOD) or alive with disease (AWD) as endpoints.ResultsThe median survival (16.1 months) of 47 patients who refused PBT, RT, and TKI-TT was significantly worse than those with RT, PBT, and/or TKI-TT (23.3 months, HR = 1.60, 95% CI = 1.06–2.42, p = 0.04). Of these latter 690 patients, 42% were females, 58% males, median age 63 years (range 27–85), 1-, 2-, 5-, and 10-year survival rates were 74%, 49%, 16%, and 5%. In total, 16% were alive with disease (AWD) at the last follow-up. Pathology subtype (adenocarcinoma vs. all others), performance score, TNM substage, the number of PBT cycles and TKI-TT had independent predictive value. However, with the multivariate combination of these features, identification results of short-term nonsurvivors and long-term survivors were poor.ConclusionsIn stage IV NSCLC patients with >3 months survival, baseline features, and systemic therapeutic modalities have strong survival predictive value but do not accurately identify short- and long-term survivors. The predictive value of other features and interventions discussed should be investigated in the worldwide very large group of stage IV NSCLC patients with >3 months survival.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e17513-e17513
Author(s):  
N. A. Obeidat ◽  
C. D. Mullins ◽  
E. Onukwugha ◽  
B. Seal ◽  
A. Hussain

e17513 Background: ADT remains standard treatment for pts with M1 PC, with radiation (RT) and chemotherapy (CT) providing additional palliation. This population-based analysis evaluated if long-term survivors (LT) receiving ADT possessed different characteristics relative to short-term survivors (ST). Methods: Pts age >/= 66y in SEER Medicare diagnosed with M1 PC between 1998 and 2002 and receiving ADT with or without subsequent CT were identified. Median overall survival (OS) for the sample was used as a cut-off to categorize ST and LT pts. Within these categories, demographic, and clinical characteristics were evaluated. Results: 2,665 ADT pts were first identified who had median OS of 26 months (95% CI 24.0 - 27.0). 1,349 pts died at </= 26 months (ST pts), while 1,245 pts survived or were lost to follow-up beyond 26 months (LT pts). Median time to first treatment with ADT was 1 mo in both ST and LT groups. Within this 66y+ population, LT pts were younger (p < 0.0001), more likely to be married (p = 0.0277), and were comprised of lower % of non-Hispanic white pts and higher % of ‘other’ races, but comparable % of African American and White-Hispanics (p = 0.0005). Distributional differences in PSA were detected, but interpreting the results was difficult due to missing or unknown information. Both ST and LT pts received RT and prostatectomy at similar rates, but LT pts had less comorbidities (p = 0.0008), and were more likely to receive CT (p = 0.0026). Conclusions: Long-term survivors were found to have demographic and clinical characteristics that differed from short-term survivors. Evidence regarding how these characteristics simultaneously impact the type and timing of treatment as well as survival deserve more exploration. [Table: see text]


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4538-4538
Author(s):  
Wanling Xie ◽  
Toni K. Choueiri ◽  
Jae-Lyun Lee ◽  
Lauren Christine Harshman ◽  
Georg A. Bjarnason ◽  
...  

4538 Background: Patients with mRCC have variable courses in terms of survival and response to targeted therapy. The patients at the two extremes of the survival spectrum need to be characterized. Methods: 2,161 patients with mRCC treated with targeted therapy were examined. 152 patients who survived 4 years or more after the initiation of targeted therapy (long-term) were compared with 218 patients who survived 6 months or less (short-term) over the same time period (2004-2007). Results: Long-term survivors had fewer poor prognostic factors (PFs) such as Karnofsky performance status (KPS) <80%, diagnosis to treatment interval<1 yr, hypercalcemia, anemia, thrombocytosis and neutrophilia (all p<0.0001). Patients with favorable prognosis who responded to targeted therapy were more likely to be long term survivors. For those in the intermediate risk group, patients who were long-term survivors were more likely to have only 1 poor prognostic factor (73% vs. 28%, p<0.0001) and KPS≥80% (88% vs. 69%, p=0.009) compared to those in the short term survivor group. On multivariable analysis adjusting for PFs, response to targeted therapy (PR or better) significantly predicted long term survivor status (odds ratio=6.3, 95% CI: 2.3,17.4, p=0.0004). Conclusions: Long term survivors had a higher response rate to targeted therapy, a longer treatment duration and more use of second-line targeted therapy. Baseline prognostic criteria may be able to discriminate between long- and short- term survivors. [Table: see text]


2017 ◽  
Vol 8 (2) ◽  
pp. 157-161
Author(s):  
Md Ehteshamul Hoque ◽  
Shanaz Karim ◽  
Md Mahmudur Rahman Siddiqui ◽  
Tanvir Ahmed

Ovarian cancer is an alarming health problem in Bangladesh. The annual mortality rate per 100,000 people from ovarian cancer in Bangladesh has increased by 40.3% since 1990, an average of 1.8% a year. Globcan predicts a change in the reported incidence of ovarian cancer from 2912 in year 2012 to 3132 in 2015. Recurrent high-grade ovarian cancer is usually associated with short term survival. There are few guidelines to surgically and medically treat long term survivors with ovarian cancer. We are reporting three cases on advance ovarian cancer patients; all are married, age ranging from 40-60 years, primarily treated with chemotherapy. After that, they were experienced with FDA approved (Nov 14, 2014) monoclonal antibody Bevacizumab (AVASTIN), additionally with chemotherapy.Anwer Khan Modern Medical College Journal Vol. 8, No. 2: Jul 2017, P 157-161


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4301-4301
Author(s):  
Domenico Penna ◽  
Maura Nicolosi ◽  
Mythri Mudireddy ◽  
Natasha Szuber ◽  
Rangit Vallapureddy ◽  
...  

Abstract Background: Current prognostication in primary myelofibrosis (PMF) utilizes MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients), MIPSS70+ version 2.0 (karyotype-enhanced MIPSS70) and GIPSS (genetically-inspired prognostic scoring system, which is based on mutations and karyotype) (JCO 2018;36:310; JCO doi: 10.1200/JCO.2018.78.9867; Leukemia. 2018;doi:10.1038/s41375-018-0107). These contemporary models are inter-complimentary and highly efficient in predicting overall survival. However, specific risk factors for very long survival (e.g. 20+ years) and short-term mortality (i.e. death within 5 years of diagnosis) have not been systematically looked into. Methods: Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). Logistic regression statistics was used to identify predictors of 20-year survival and 5-year mortality. Variables evaluated in the logistic model included those that are currently listed in MIPSS70, MIPSS70+ version 2.0 and GIPSS, as well as age (≤70 vs >70 years) and sex. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to estimate predictive accuracy. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: A total of 1,282 consecutive patients with PMF (median age 65 years, range 19-92; 63% males) were used to identify 26 (2%) patients (median age 51 years, range 28-71; 38% males) who survived their disease for at least 20 years (very long-lived patients) and 626 (49%) patients (median age 68 years, range 27-92; 66% males) who died within 5 years of their diagnosis. Clinically-derived information, including the clinical variables used in MIPSS70 and MIPSS70+ version 2.0, with the exception of fibrosis grade (information available in 60%), was available in 99% of the study population; cytogenetic information was available in 94%, driver mutational status in 71% and the full profile of high molecular risk (HMR) mutations, including ASXL1, SRSF2, U2AF1 Q157, EZH2, IDH1 and IDH2, in 42%. MIPSS70+ version 2.0 risk distribution for the entire study population (n=1,282) was 4% very low risk, 16% low risk, 19% intermediate risk, 40% high risk and 21% very high risk; the corresponding percentages for the 26 very long-lived patients were 14%, 29%, 14%, 43% and 0% and for the 626 short-term survivors were 0%, 4%, 10%, 47% and 39% (p<0.001). Cytogenetic, driver mutation and HMR mutation information was available in 100%, 58% and 27% of the 26 long-term survivors, respectively, and 98%, 63% and 39% of the 626 short-term survivors. Multivariable logistic regression analysis of 20-year survival identified the following seven variables as being favorable: age ≤70 years (p=0.002); female sex (p=0.03); hemoglobin level ≥10 g/dl for women and ≥11 g/dl for men (p=0.03), leukocyte count ≤25 x 109/l (p=0.009), platelet count ≥100 x 109/l (p=0.002), circulating blasts ≤1% (p=0.03) and absence of constitutional symptoms (p=0.04). The particular phenotypic profile exhibited a high degree of predictive accuracy with an estimated AUC of 0.90 (Figure 1a); karyotype and mutations did not retain significance in this particular analysis; in fact, 5 (71%) of the 7 long-term survivors who were informative harbored at least one HMR mutation. A similar analysis for 5-year mortality identified the following risk factors: high molecular risk mutations (p<0.001); unfavorable or very high risk karyotype (p<0.001); absence of type 1/like CALR mutations (p<0.001); age >70 years (p<0.001); constitutional symptoms (p<0.001); hemoglobin level <10 g/dl for women and <11 g/dl for men (p<0.001); leukocyte count >25 x 109/l (p=0.004); and circulating blasts >1% (p=0.001); predictive accuracy was estimated at AUC 0.87 (Figure 1b). Conclusions: The phenotypic profile of long-lived patients in PMF includes young age (≤70 years old), female sex, asymptomatic disease (i.e. no constitutional symptoms) and absence of moderate to severe anemia, thrombocytopenia or leukocytosis and ≤1% circulating blasts; each one of these parameters, with the exception of female sex, were present in ≥80% of long-term survivors. Karyotype and mutations were more relevant in predicting short-term mortality. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Zhenkun Yang ◽  
Bo Zhang ◽  
Zhenhao Zhang ◽  
Jingjing Wang ◽  
Yaling Hu ◽  
...  

Abstract Background: Glioblastoma is an aggressive primary tumour with the lowest survival time among brain tumours. Tumour-infiltrating immune cells (TIICs) are involved in tumour progression and determine the prognosis, while the association of immune cell infiltration with glioblastoma is rarely unknown. This study aimed to screen survival-related (SR) genes and major biological processes through bioinformatic analysis and to identify the relationship between SR genes and TIICs.Methods:SR genes were screened by comparing the long-term (>36 months) and short-term (<12 months) survivors in the database GSE53733. Gene set enrichment analysis (GSEA) was applied to compare the differences in biological processes between long-term survivors and short-term survivors. The SR genes were identified using the limma package of R. Gene Ontology (GO) analysis was conducted through Metascape. The protein-protein interaction (PPI) network of the SR genes was established through the Search Tool for the Retrieval of Interacting Genes (STRING) website and further analysed by the Molecular Complex Detection (MCODE) algorithm. UALCAN and GlioVis were employed to analyse the expression levels and prognostic value of hub genes. The correlation of hub genes with immune cell filtration was estimated by the Tumor Immune Estimation Resource (TIMER). The gene-drug interaction network was constructed using the Comparative Toxicogenomics Database (CTD).Results: The functions of the detected genes were mainly enriched in epithelial mesenchymal transition (EMT) and oxidative phosphorylation. Of the detected genes, a total of 220 SR genes were identified, including 78 upregulated genes and 142 downregulated genes in long-term survivors. The upregulated genes were mainly related to neuron projection morphogenesis, extracellular matrix, and cation channel activity. The downregulated genes were mainly related to extracellular matrix organization and angiogenesis. The PPI network for SR genes was constructed with 65 edges and 195 nodes, and two significant modules were selected. The results indicated that COL1A2, COL6A2, COL8A1, and COL8A2 were hub SR genes. In addition, they were correlated with immune cell infiltration, especially dendritic cell infiltration.Conclusions: These results revealed that collagens accounted for the progression and prognosis of glioblastoma. In addition, DC infiltration is a risk factor for glioblastoma patients. The expression of collagen protein COL6A2 was significantly correlated with the DC infiltration level and poor prognosis. Further, potential drugs that affect the function of COL6A2 could improve the outcomes of glioblastoma.


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