scholarly journals Proportion of children with cancer that have an indication for genetic counseling and testing based on the cancer type irrespective of other features

2021 ◽  
Author(s):  
Thi Minh Kha Nguyen ◽  
Astrid Behnert ◽  
Torsten Pietsch ◽  
Christian Vokuhl ◽  
Christian Peter Kratz

Abstract In children with cancer, specific clinical features such as physical anomalies, occurrence of cancer in young relatives, specific cancer histologies, and unique mutation/methylation signatures may indicate the presence of an underlying cancer predisposition syndrome (CPS). The proportion of children with a cancer type suggesting a CPS among all children with cancer is unknown. To determine the proportion of children with cancer types suggesting an underlying CPS among children with cancer. We evaluated the number of children with cancer types strongly associated with CPS diagnosed in Germany between 2007 and 2016. Data were obtained from various sources including two national pediatric pathology reference laboratories for brain and solid tumors, respectively, various childhood cancer trial offices as well as the German Childhood Cancer Registry. Among 21,127 children diagnosed with cancer between 2007 and 2016, 2554 (12.1%) had a cancer type strongly associated with a CPS. The most common diagnoses were myelodysplastic syndrome and juvenile myelomonocytic leukemia, retinoblastoma, malignant peripheral nerve sheath tumor, infantile myofibromatosis, medulloblastomaSHH, rhabdoid tumor as well as atypical teratoid/rhabdoid tumor. Based on cancer type only, 12.1% of all children with cancer have an indication for a genetic evaluation. Pediatric oncology patients require access to genetic counselling and testing.

2021 ◽  
Author(s):  
Anna Byrjalsen ◽  
Illja J. Diets ◽  
Jette Bakhuizen ◽  
Thomas van Overeem Hansen ◽  
Kjeld Schmiegelow ◽  
...  

AbstractIncreasing use of genomic sequencing enables standardized screening of all childhood cancer predisposition syndromes (CPS) in children with cancer. Gene panels currently used often include adult-onset CPS genes and genes without substantial evidence linking them to cancer predisposition. We have developed criteria to select genes relevant for childhood-onset CPS and assembled a gene panel for use in children with cancer. We applied our criteria to 381 candidate genes, which were selected through two in-house panels (n = 338), a literature search (n = 39), and by assessing two Genomics England’s PanelApp panels (n = 4). We developed evaluation criteria that determined a gene’s eligibility for inclusion on a childhood-onset CPS gene panel. These criteria assessed (1) relevance in childhood cancer by a minimum of five childhood cancer patients reported carrying a pathogenic variant in the gene and (2) evidence supporting a causal relation between variants in this gene and cancer development. 138 genes fulfilled the criteria. In this study we have developed criteria to compile a childhood cancer predisposition gene panel which might ultimately be used in a clinical setting, regardless of the specific type of childhood cancer. This panel will be evaluated in a prospective study. The panel is available on (pediatric-cancer-predisposition-genepanel.nl) and will be regularly updated.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4836-4836
Author(s):  
Erin M. Guest ◽  
Matt Hall ◽  
Samir S. Shah ◽  
Keith J. August ◽  
Joy M. Fulbright ◽  
...  

Abstract Background: Pneumocystis jirovecii pneumonia (PCP) is an opportunistic fungal infection that can develop in the setting of deficient cell-mediated immunity. Children with hematologic malignancies and children undergoing immunosuppressive treatment for other types of cancer are at risk of developing PCP. However, the epidemiology of PCP in children with cancer is not well described. We sought to determine the prevalence of PCP in hospitalized children with cancer in the U.S. and to identify risk factors for PCP in this population. Methods: This retrospective cohort study included pediatric patients with newly diagnosed cancer at 45 children's hospitals in the U.S. between January 1, 2004, and December 31, 2009. Data was obtained from the Pediatric Health Information System (PHIS). Patients were included if they were 0 to 20 years of age and had an index hospitalization with an ICD-9 diagnosis code for a malignant condition (140 to 239.39). Patients who had a benign tumor, >1 cancer type, or non-specific cancer codes, and those who received a hematopoietic stem cell transplant were excluded. Groups were defined for cancer types by ICD-9 codes: acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), Non-Hodgkin lymphoma (NHL), Hodgkin disease (HD), central nervous system (CNS), and solid non-CNS tumors. Patients within the cohort who had a diagnosis of PCP (ICD-9 code 136.3) within 3 years of their cancer diagnosis were considered PCP cases. The relative risk for PCP was calculated according to demographics and cancer types. The data were analyzed for trends in the incidence of PCP cases by year, the time to PCP diagnosis following cancer diagnosis, and the regional distribution of PCP in the U.S. Results: A total of 33,067 pediatric cancer patients met the criteria for inclusion in the study. Of these patients, 169 (0.5%) were classified as PCP cases (Table 1). Patients with ALL and AML had the highest relative risks of PCP, when compared with other cancer types. Patients of Asian race had the highest relative risk of PCP, when compared with patients of other races. Table 1: Relative Risk of PCP Diagnosis by Demographics and Cancer Types Table 1:. Relative Risk of PCP Diagnosis by Demographics and Cancer Types Figure 1 depicts that the time to the development of PCP was relatively short in patients with NHL (median 33 days, IQR: 0-253 days) and AML (median 70 days, IQR: 0-149 days). In contrast, PCP was diagnosed later in patients with ALL, (median 347 days, IQR; 168-675 days). The number of new PCP cases did not significantly vary by year of diagnosis. Regional differences in the diagnosis of PCP by the locations of PHIS institutions were not identified. Figure 1: Number of days from cancer diagnosis to PCP diagnosis (Kaplan-Meier survival curves) Figure 1:. Number of days from cancer diagnosis to PCP diagnosis (Kaplan-Meier survival curves) Conclusions: This study represents the largest cohort analysis of PCP in children with cancer. Among children with cancer who were hospitalized at major U.S. children's hospitals during the study period, the prevalence of PCP was 0.5%. The relative risk of PCP was increased in patients with leukemia when compared with other cancer types. However, PCP was identified in all cancer types. The variation in time to diagnosis of PCP is hypothesized to be due to differences in the intensity and duration of immunosuppressive therapy by cancer type. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Tal Gutman ◽  
Guy Goren ◽  
Omri Efroni ◽  
Tamir Tuller

AbstractIn recent years it has been shown that silent mutations, in and out of the coding region, can affect gene expression and may be related to tumorigenesis and cancer cell fitness. However, the predictive ability of these mutations for cancer type diagnosis and prognosis has not been evaluated yet. In the current study, based on the analysis of 9,915 cancer genomes and approximately three million mutations, we provide a comprehensive quantitative evaluation of the predictive power of various types of silent and non-silent mutations over cancer classification and prognosis. The results indicate that silent-mutation models outperform the equivalent null models in classifying all examined cancer types and in estimating the probability of survival 10 years after the initial diagnosis. Additionally, combining both non-silent and silent mutations achieved the best classification results for 68% of the cancer types and the best survival estimation results for up to nine years after the diagnosis. Thus, silent mutations hold considerable predictive power over both cancer classification and prognosis, most likely due to their effect on gene expression. It is highly advised that silent mutations are integrated in cancer research in order to unravel the full genomic landscape of cancer and its ramifications on cancer fitness.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14576-e14576
Author(s):  
Xinlu Liu ◽  
Jiasheng Xu ◽  
Jian Sun ◽  
Deng Wei ◽  
Xinsheng Zhang ◽  
...  

e14576 Background: Clinically, MSI had been used as an important molecular marker for the prognosis of colorectal cancer and other solid tumors and the formulation of adjuvant treatment plans, and it had been used to assist in the screening of Lynch syndrome. However, there were currently few reports on the incidence of MSI-H in Chinese pan-cancer patients. This study described the occurrence of MSI in a large multi-center pan-cancer cohort in China, and explored the correlation between MSI and patients' TMB, age, PD-L1 expression and other indicators. Methods: The study included 8361 patients with 8 cancer types from multiple tumor centers. Use immunohistochemistry to detect the expression of MMR protein (MLH1, MSH2, MSH6 and PMS2) in patients with various cancer types to determine the MSI status and detect the expression of PD-L1 in patients. Through NGS technology, 831 genes of 8361 Chinese cancer patients were sequenced and the tumor mutation load of the patients was calculated. The MSI mutations of patients in 8 cancer types were analyzed and the correlation between MSI mutations of patients and the patient's age, TMB and PD-L1 expression was analyzed. Results: The test results showed that MSI patients accounted for 1.66% of pan-cancers. Among them, MSI-H patients accounted for the highest proportion in intestinal cancer, reaching 7.2%. The correlation analysis between MSI and TMB was performed on patients of various cancer types. The results showed that: in each cancer type, MSI-H patients had TMB greater than 10, and 26.83% of MSI-H patients had TMB greater than 100 in colorectal cancer patients. The result of correlation analysis showed that there was no significant correlation between the patient's age and the risk of MSI mutation ( P> 0.05). In addition to PAAD and LUAD, the expression of PD-L1 in MSI-H patients was higher than that in MSS patients in other cancer types( P< 0.05). The correlation analysis between PD-L1 expression and TMB in patients found that in colorectal cancer, the higher the expression of PD-L1, the higher the patient's TMB ( P< 0.05). Conclusions: In this study, we explored the incidence of MSI-H in pan-cancer patients in China and found that the TMB was greater than 10 in patients with MSI-H. Compared with MSS patients, MSI-H patients have higher PD-L1 expression, and the higher the PD-L1 expression in colorectal cancer, the higher the TMB value of patients.


Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2476 ◽  
Author(s):  
Shaoli Das ◽  
Kevin Camphausen ◽  
Uma Shankavaram

To elucidate the role of immune cell infiltration as a prognostic signature in solid tumors, we analyzed immune-function-related genes from four publicly available single-cell RNA-Seq data sets and twenty bulk tumor RNA-Seq data sets from The Cancer Genome Atlas (TCGA). Unsupervised clustering of pan-cancer transcriptomic signature showed two major immune function types: one related to NK-, T-, and B-cell functions and the other related to monocyte, macrophage, dendritic cell, and Toll-like receptor functions. Kaplan–Meier analysis showed differential prognosis of these two groups, dependent on the cancer type. Our analysis of TCGA solid tumors with an elastic net model identified 155 genes associated with disease-free survival in different tumor types with varied influence across different cancer types. With this gene set, we computed cancer-specific prognostic immune score models for individual cancer types that predicted disease-free and overall survival. Validation of our model on available published data of immune checkpoint blockade therapies on melanoma, kidney renal cell carcinoma, non-small cell lung cancer, gastric cancer and bladder cancer confirmed that cancer-specific higher immune scores are associated with response to immunotherapy. Our analysis provides a comprehensive map of cancer-specific immune-related prognostic gene sets that are associated with immunotherapy response.


F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 232 ◽  
Author(s):  
Martin L. Ashdown ◽  
Andrew P. Robinson ◽  
Steven L. Yatomi-Clarke ◽  
M. Luisa Ashdown ◽  
Andrew Allison ◽  
...  

Complete response (CR) rates reported for cytotoxic chemotherapy for late-stage cancer patients are generally low, with few exceptions, regardless of the solid cancer type or drug regimen. We investigated CR rates reported in the literature for clinical trials using chemotherapy alone, across a wide range of tumour types and chemotherapeutic regimens, to determine an overall CR rate for late-stage cancers. A total of 141 reports were located using the PubMed database. A meta-analysis was performed of reported CR from 68 chemotherapy trials (total 2732 patients) using standard agents across late-stage solid cancers—a binomial model with random effects was adopted. Mean CR rates were compared for different cancer types, and for chemotherapeutic agents with different mechanisms of action, using a logistic regression. Our results showed that the CR rates for chemotherapy treatment of late-stage cancer were generally low at 7.4%, regardless of the cancer type or drug regimen used. We found no evidence that CR rates differed between different chemotherapy drug types, but amongst different cancer types small CR differences were evident, although none exceeded a mean CR rate of 11%. This remarkable concordance of CR rates regardless of cancer or therapy type remains currently unexplained, and motivates further investigation.


2022 ◽  
Author(s):  
Malvika Sudhakar ◽  
Raghunathan Rengaswamy ◽  
Karthik Raman

The progression of tumorigenesis starts with a few mutational and structural driver events in the cell. Various cohort-based computational tools exist to identify driver genes but require a large number of samples to produce reliable results. Many studies use different methods to identify driver mutations/genes from mutations that have no impact on tumour progression; however, a small fraction of patients show no mutational events in any known driver genes. Current unsupervised methods map somatic and expression data onto a network to identify the perturbation in the network. Our method is the first machine learning model to classify genes as tumour suppressor gene (TSG), oncogene (OG) or neutral, thus assigning the functional impact of the gene in the patient. In this study, we develop a multi-omic approach, PIVOT (Personalised Identification of driVer OGs and TSGs), to train on experimentally or computationally validated mutational and structural driver events. Given the lack of any gold standards for the identification of personalised driver genes, we label the data using four strategies and, based on classification metrics, show gene-based labelling strategies perform best. We build different models using SNV, RNA, and multi-omic features to be used based on the data available. Our models trained on multi-omic data improved predictions compared to mutation and expression data, achieving an accuracy >0.99 for BRCA, LUAD and COAD datasets. We show network and expression-based features contribute the most to PIVOT. Our predictions on BRCA, COAD and LUAD cancer types reveal commonly altered genes such as TP53, and PIK3CA, which are predicted drivers for multiple cancer types. Along with known driver genes, our models also identify new driver genes such as PRKCA, SOX9 and PSMD4. Our multi-omic model labels both CNV and mutations with a more considerable contribution by CNV alterations. While predicting labels for genes mutated in multiple samples, we also label rare driver events occurring in as few as one sample. We also identify genes with dual roles within the same cancer type. Overall, PIVOT labels personalised driver genes as TSGs and OGs and also identifies rare driver genes. PIVOT is available at https://github.com/RamanLab/PIVOT.


2021 ◽  
Author(s):  
Silvia Ravera ◽  
Tiziana Vigliarolo ◽  
Silvia Bruno ◽  
Fabio Morandi ◽  
Danilo Marimpietri ◽  
...  

ABSTRACTPurposeSurvival rates of Childhood Cancer Patients have improved tremendously over the past four decades. However, cancer treatments are associated with an increased risk of developing an anticipated onset of chronic diseases typical of aging. Thus, we aimed to identify molecular/metabolic cellular alterations responsible for early aging in Childhood Cancer Survivors (CCS).Patients and MethodsBiochemical, proteomic and molecular biology analyses were conducted on mononuclear cells (MNCs) isolated from peripheral blood of 196 CCS, comparing the results with those obtained on MNCs of 154 healthy subjects.ResultsData demonstrate that CCS-MNCs show: i) inefficient oxidative phosphorylation associated with low energy status and a metabolic switch to lactate fermentation compared with age-matched normal controls; ii) increment of lipid peroxidation due to an unbalance among the oxidative stress production and the activation of the antioxidant defenses; (iii) significantly lower expression of genes and proteins involved in mitochondrial biogenesis and metabolism regulation, such as CLUH, PGC1-α, and SIRT6 in CCS, not observed in the age-matched healthy or elderly subjects. The application of a mathematical model based on biochemical parameters predicts that CCS have a biological age significantly increased by decades compared to the chronological age. Overall, the results show that the impact of chemo/chemoradiotherapy on mitochondria efficiency in 196 CCS was rather homogeneous, irrespective of cancer type, treatment protocols, and time elapsed from the end of the curative period.ConclusionsOur study identifies some biochemical and molecular alterations possibly contributing to the pathophysiology of anticipated aging and metabolic deficiency described in CCS. These results may be useful in identifying approaches to restore the mitochondrial function, slowing down the aging and the associated pathological conditions in CCS.


2021 ◽  
Author(s):  
H. Robert Frost

AbstractThe genetic alterations that underlie cancer development are highly tissue-specific with the majority of driving alterations occurring in only a few cancer types and with alterations common to multiple cancer types often showing a tissue-specific functional impact. This tissue-specificity means that the biology of normal tissues carries important information regarding the pathophysiology of the associated cancers, information that can be leveraged to improve the power and accuracy of cancer genomic analyses. Research exploring the use of normal tissue data for the analysis of cancer genomics has primarily focused on the paired analysis of tumor and adjacent normal samples. Efforts to leverage the general characteristics of normal tissue for cancer analysis has received less attention with most investigations focusing on understanding the tissue-specific factors that lead to individual genomic alterations or dysregulated pathways within a single cancer type. To address this gap and support scenarios where adjacent normal tissue samples are not available, we explored the genome-wide association between the transcriptomes of 21 solid human cancers and their associated normal tissues as profiled in healthy individuals. While the average gene expression profiles of normal and cancerous tissue may appear distinct, with normal tissues more similar to other normal tissues than to the associated cancer types, when transformed into relative expression values, i.e., the ratio of expression in one tissue or cancer relative to the mean in other tissues or cancers, the close association between gene activity in normal tissues and related cancers is revealed. As we demonstrate through an analysis of tumor data from The Cancer Genome Atlas and normal tissue data from the Human Protein Atlas, this association between tissue-specific and cancer-specific expression values can be leveraged to improve the prognostic modeling of cancer, the comparative analysis of different cancer types, and the analysis of cancer and normal tissue pairs.


2021 ◽  
Vol 11 ◽  
Author(s):  
Wencheng Zhang ◽  
Zhouyong Gao ◽  
Mingxiu Guan ◽  
Ning Liu ◽  
Fanjie Meng ◽  
...  

Anti-silencing function 1B histone chaperone (ASF1B) is known to be an important modulator of oncogenic processes, yet its role in lung adenocarcinoma (LUAD) remains to be defined. In this study, an integrated assessment of The Cancer Genome Atlas (TCGA) and genotype-tissue expression (GTEx) datasets revealed the overexpression of ASF1B in all analyzed cancer types other than LAML. Genetic, epigenetic, microsatellite instability (MSI), and tumor mutational burden (TMB) analysis showed that ASF1B was regulated by single or multiple factors. Kaplan-Meier survival curves suggested that elevated ASF1B expression was associated with better or worse survival in a cancer type-dependent manner. The CIBERSORT algorithm was used to evaluate immune microenvironment composition, and distinct correlations between ASF1B expression and immune cell infiltration were evident when comparing tumor and normal tissue samples. Gene set enrichment analysis (GSEA) indicated that ASF1B was associated with proliferation- and immunity-related pathways. Knocking down ASF1B impaired the proliferation, affected cell cycle distribution, and induced cell apoptosis in LUAD cell lines. In contrast, ASF1B overexpression had no impact on the malignant characteristics of LUAD cells. At the mechanistic level, ASF1B served as an indirect regulator of DNA Polymerase Epsilon 3, Accessory Subunit (POLE3), CDC28 protein kinase regulatory subunit 1(CKS1B), Dihydrofolate reductase (DHFR), as established through proteomic profiling and Immunoprecipitation-Mass Spectrometry (IP-MS) analyses. Overall, these data suggested that ASF1B serves as a tumor promoter and potential target for cancer therapy and provided us with clues to better understand the importance of ASF1B in many types of cancer.


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