scholarly journals Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment—Case of COVID-19

2020 ◽  
Vol 7 ◽  
Author(s):  
Mauno Vihinen
Author(s):  
Mauno Vihinen

A novel strategy is presented for reliable diagnosis and progression prediction of diseases with special attention to COVID-19 pandemy. A plan is presented for how the model can be implemented worldwide in healthcare and how novel treatments and targets can be detected. The idea is based on poikilosis, pervasive heterogeneity and variation at all levels, systems and mechanisms. Poikilosis in diseases can be taken account in pathogenicity model, which is based on distribution of three independent condition measures – extent, modulation and severity. Pathogenicity model is a population or cohort-based description of disease components. Evidence-based thresholds can be applied to the pathogenicity model and used for diagnosis as well as for early detection of patients in risk of developing the most severe forms of the disease. Analysis of patients with differential course of disease can help in detecting biomarkers of diagnostic and prognostic significance. A practical and feasible plan is presented how the concepts can be implemented in practice. Collaboration of many actors, including the World Health Organization and national health authorities, will be essential for success.


2020 ◽  
Vol 2 (4) ◽  
pp. e200007
Author(s):  
Maria A. Gosein ◽  
Dylan Narinesingh ◽  
Shastri Motilal ◽  
Adrian P. Ramkissoon ◽  
Cristal M. Goetz ◽  
...  

2019 ◽  
pp. 1-6
Author(s):  
Magnus Petersson-Ahrholt ◽  
Thomas Wiebe ◽  
Lars Hjorth ◽  
Thomas Relander ◽  
Helena M. Linge

PURPOSE Survival rates after childhood cancer have increased from 20% to 80% since the 1970s. The increased number of survivors emphasizes the importance of late effects and their monitoring. Late effects may have a strong impact on quality of life in survivors. The purpose of this study was to make key data in a quality registry available for direct clinical use, enabling health care professionals to perform efficient and appropriate long-term medical follow-up after childhood cancer treatment. METHODS The population-based quality registry upon which this study is centered contains data on all individuals diagnosed with childhood cancer (diagnosed at 18 years of age or younger) in southern Sweden since January 1, 1970, and treatment data on 5-year survivors. Web tools, which were developed and implemented in a health care setting, generate a personalized treatment summary for each patient and enable risk group stratification of survivors. RESULTS Generation of a personalized treatment summary and risk group stratification of survivors led to identification of women at risk for developing breast cancer as a consequence of childhood cancer treatment. Three novel cases of previously undiagnosed breast cancer were identified. CONCLUSION The registry, together with the developed tools, enabled health care professionals to perform medical follow-up in this at-risk patient population.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2507-2507
Author(s):  
Smadar Avigad ◽  
Iedan RN Verly ◽  
Gertjan J.L. Kaspers ◽  
Jacqueline Cloos ◽  
Anat Ohali ◽  
...  

Abstract Abstract 2507 Aim: microRNAs (miRNAs) have been implicated in many malignancies. Our aim was to identify specific miRNAs that can predict risk of relapse in pediatric acute lymphoblastic leukemia (ALL) patients treated according to BFM protocols already at diagnosis. The current risk group stratification is based on the amount of minimal residual disease (MRD) assessed at specific time points by real time quantitative PCR (RQ-PCR). Material and methods: Following miRNA expression analysis, we decided to focus on miR-151-5p and miR-451 that significantly correlated with known prognostic factors in ALL. Validation was performed by measuring the expression levels of miR-151-5p and miR-451 by RQ-PCR on bone marrow samples at diagnosis of 101 B-lineage ALL patients excluding Philadelphia positive patients. Results: Low expression of miR-151-5p, miR-451 or of both together resulted in significantly worse relapse free survival (RFS) (43%, 58% and 38%, respectively) compared to RFS rates when either or both miRNAs were highly expressed (81%, 75% and 75%, respectively) (p=0.001, 0.044 and 0.001, respectively). Moreover, following PCR-MRD stratification, low expression of miR-451 or both miRNAs remained significant within the PCR-MRD medium risk group (p=0.00001) and within the standard group for both miRNAs (p=0.024). Multivariate Cox regression analysis identified low expression of both miRNAs as an independent prognostic marker with 11.7 fold increased risk for relapse (p=0.002). After excluding patients harboring the adverse genetic markers Ikaros deletion and P2RY8-CRLF2 rearrangement, a patient expressing low levels of both miRs had a 35 fold risk to relapse (p=0.005). Analyzing a non-BFM treated B-lineage ALL cohort from The Netherlands, both miRNAs significantly correlated with outcome (p=0.003). Conclusion: Our results identify miR-151-5p and miR-451 as novel biomarkers for outcome in pediatric B-lineage ALL patients, regardless of treatment protocol. This may allow earlier and improved risk group stratification already at diagnosis, enabling exploration of early therapeutic interventions. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2480-2480
Author(s):  
Costa Bachas ◽  
Gerrit Jan Schuurhuis ◽  
Dirk Reinhardt ◽  
Ursula Creutzig ◽  
Zinia J. Kwidama ◽  
...  

Abstract Abstract 2480 Relapsed pediatric AML patients respond poorly to conventional re-induction therapy and as a consequence long term survival rates of these patients are low (up to 36%). Accurate characterization and risk group stratification at first relapse may facilitate personalized, targeted re-induction therapies for these patients and ultimately improve outcome. Gene mutations provide putative targets in personalized treatment (e.g. FLT3/ITD, KIT or RAS mutations) and their incidence and prognostic relevance in pediatric AML at first relapse remains to be elucidated. Changes in mutational status occur during therapy; hence, assessment of mutations at first relapse is warranted to establish the accurate mutation status of the leukemic cells before the start of salvage treatment. Mutational status at first relapse as well as clinical and karyotypic data were retrospectively analyzed in a large set (n = 240) of relapsed non-FAB M3, non-Down syndrome AML patients younger than 19 years. The majority of patients (88%) were uniformly treated at first relapse according to the ‘Relapsed AML 2001/01’ protocol of the International Berlin-Frankfurt-Münster (BFM) study group that involved two re-induction courses of chemotherapy with FLAG as standard treatment with or without liposomal daunorubicin (randomization), followed by allogeneic stem cell transplantation in most cases. Other patients received FLAG based (5%) or other high dose cytarabin based therapy (6%). We screened the relapse samples for hotspot mutations in a selected panel of genes (FLT3, WT1, KIT, N-RAS, K-RAS, NPM1) relevant for AML and found one or more mutations in 139 out of 240 patients (57.9%). Gene mutations were mutually exclusive in 73 out of 139 patients carrying mutations (52.5%), while in 66 out of 139 patients (47.5%) two or more gene mutations were observed. FLT3/ITD mutations coincided with 50% of NPM1 and 53% of WT1 exon 7 mutated cases (p=.003 and p<.0001 respectively). The frequencies of mutations at first relapse are summarized in the Table below including their impact on event free and overall survival, according to uni-variate analysis. In multivariate analyses, we included mutations and other variables (e.g. FAB type, WBC) with a uni-variate P value below 0.2 to exclude confounding factors. From these analyses, three independent factors significantly increased the risk of a second relapse (RFS after first relapse diagnosis); WT1 mutations (HR=11.2, P<.0001), WT1 single nucleotide variants (HR 3.4, P=.003) and FAB type M7 (HR= 2.2, P=.027). Different independent factors were associated with dismal overall survival after first relapse including FLT3/ITD mutations (HR=2.2, P=.028) and high WBC (HR=3.2, P=.004) at first relapse. In conclusion, mutations in the studied panel of genes in this large cohort of pediatric relapsed AML patients were frequent. Overall, we detected receptor tyrosine kinase mutations in more than 25% of the patients, indicating the large proportion of relapsed patients that is eligible for targeted receptor tyrosine kinase inhibitor treatment. The gene mutations studied here provide strong prognostic factors for dismal outcome after first relapse. The relevance of these markers in predicting outcome should be validated in a prospective setting. Accurate risk group stratification of relapsed AML patients should be based on clinical and molecular characterization performed at first relapse. In addition, mutations in drugable genes can identify patients that are eligible for personalized, targeted re-induction strategies. Table Uni-variate analysis of the association of relevant gene mutations in pediatric AML at first relapse with outcome after 1st relapse, ranked according to frequency. Frequency RFS after 1st relapse OS after 1st relapse Hazard ratio CI P Hazard ratio CI P FLT3/ITD 17.8% 1.2 0.6–2.3 0.586 1.4 0.9–2.4 0.153 WT1 mutations 10.2% 5.0 2.0–12.4 0.001 2.0 0.9–4.1 0.077 WT1 SNV 10.2% 2.0 1.1–3.8 0.025 1.0 0.6–1.7 0.989 KIT 9.0% 0.5 0.2–1.3 0.137 0.6 0.3–1.1 0.114 KRAS 7.5% 1.6 0.8–3.3 0.176 0.8 0.4–1.5 0.422 NRAS c12/13 6.4% 0.6 0.2–1.9 0.376 1.2 0.6–2.2 0.658 NPM1 5.7% 0.2 0.1–1.7 0.156 0.7 0.3–1.8 0.519 NRAS c61 1.9% 0.1 0.0–397 0.511 2.5 0.9–6.8 0.072 ITD = internal tandem duplication, SNV = single nucleotide variant, c = codon, CI = 95% confidence interval Disclosures: No relevant conflicts of interest to declare.


2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 8500-8500
Author(s):  
W. B. London ◽  
R. P. Castleberry ◽  
K. K. Matthay ◽  
A. T. Look ◽  
R. C. Seeger ◽  
...  

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