Tumor sequencing aids to identify individuals with hereditary cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13678-e13678
Author(s):  
Teresa Imizcoz-Fabra ◽  
Eva Cañada-Higueras ◽  
Nerea García de Vicuña-Bilbao ◽  
Beatriz Ramírez-Horcada ◽  
Arancha Bielsa-Colás ◽  
...  

e13678 Background: Early identification of individuals with hereditary cancer significantly improves survival in patients and relatives. New genomic tools can identify germline pathogenic variants via tumor-only genomic sequencing in addition to treatment guiding biomarkers. Methods: Our tumor sequencing protocol in medical practice since 2018 via Oncomine Comprehensive Assay (OCA) interrogates several hereditary cancer associated genes; therefore, we aimed to evaluate OCA’s capacity to point out individuals’ with hereditary cancer. But first, OCA’s technical validity was evaluated by testing up to 20 year old FFPE block isolated tumor genomes of individuals known to carry 19 pathogenic variants. Results: All variants were present in the OCA raw dataset but 26% were not called by the commercial software due to specificity of the variant calling algorithm and bias caused by amplicon-based enrichment and limited coverage. Even with this limitation, OCA’s clinical utility was evaluated next. A pathogenic variant candidate to be germline was identified in 5% (26/510) of tumor genomes routinely tested looking for treatment guiding biomarkers, but up to 8% (26/317) when excluding lung cancer patients. Importantly, 73% (14/19) of the ones that were followed-up by peripheral blood testing were confirmed to be germline, so inherited nature of the cancer was confirmed in 9% of ovarian, 8% of endometrium, 5% of biliary tract, 4% of breast, 1% of colorectal and 1% of lung cancer patients whose tumor genome was tested for routine treatment guiding biomarker identification. Conclusions: OCA is a useful genomic tool for identifying individuals with hereditary cancer that opens a new era in clinical practice in oncology. An increased awareness among physicians about this new genomic tool includes understanding the importance of peripheral blood confirmation to define the germline nature of the OCA-identified candidate variant; and proper genetic counseling and germline testing when OCA does not find a candidate variant in a patient with strong family history due to the lack of comprehensive identification of every type of pathogenic variants in all known genes associated with inherited cancer via tumor sequencing tools like OCA.

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2966
Author(s):  
Dagmar Riemann ◽  
Wolfgang Schütte ◽  
Steffi Turzer ◽  
Barbara Seliger ◽  
Miriam Möller

The aim of this study was to investigate the expression of the coinhibitory molecule PD-L1/CD274 in monocytes and dendritic cells (DC) in the blood of lung cancer patients undergoing PD1 inhibitor therapy and to correlate data with patient’s outcome. PD-L1/CD274 expression of monocytes, CD1c+ myeloid DC (mDC) and CD303+ plasmacytoid DC (pDC) was determined by flow cytometry in peripheral blood at immunotherapy onset. The predictive value of the PD-L1/CD274-expression data was determined by patients’ survival analysis. Patients with a high PD-L1/CD274 expression of monocytes and blood DC subpopulations rarely responded to PD1 inhibitor therapy. Low PD-L1/CD274 expression of monocytes and DC correlated with prolonged progression-free survival (PFS) as well as overall survival (OS). The highest PD-L1/CD274 expression was found in CD14+HLA-DR++CD16+ intermediate monocytes. Whereas the PD-L1/CD274 expression of monocytes and DC showed a strong positive correlation, only the PD-L1/CD274 expression of DC inversely correlated with DC amounts and lymphocyte counts in peripheral blood. Our results implicate that a high PD-L1/CD274 expression of blood monocytes and DC subtypes is a risk factor for therapy response and for the survival of lung cancer patients undergoing PD1 inhibitor therapy.


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Ryo Arai ◽  
Sayo Soda ◽  
Tomoko Okutomi ◽  
Hiroko Morita ◽  
Fumito Ohmi ◽  
...  

We studied the subsets of peripheral blood dendritic cells (DCs) and lipid accumulation in DCs to investigate the involvement of DCs in the decreased anticancer immunity of advanced lung cancer patients. We analyzed the population of DC subsets in peripheral blood using flow cytometry. We then determined lipid accumulation in the DCs using BODIPY 650/665, a fluorophore with an affinity for lipids. Compared with healthy controls, the number of DCs in the peripheral blood of treatment-naive cancer patients was significantly reduced. In patients with stage III + IV disease, the numbers of myeloid DCs (mDCs) and plasmacytoid DCs were also significantly reduced. Lipid accumulation in DCs evaluated based on the fluorescence intensity of BODIPY 650/665 was significantly higher in stage III + IV lung cancer patients than in the controls. In the subset analysis, the fluorescence was highest for mDCs. The intracellularly accumulated lipids were identified as triglycerides. A decreased mixed leukocyte reaction was observed in the mDCs from lung cancer patients compared with those from controls. Taken together, the results show that lung cancer patients have a notably decreased number of peripheral blood DCs and their function as antigen-presenting cells is decreased due to their high intracellular lipid accumulation. Thereby, anticancer immunity is suppressed.


2017 ◽  
Vol 114 (10) ◽  
pp. 2544-2549 ◽  
Author(s):  
Yin Tang ◽  
Zhuo Wang ◽  
Ziming Li ◽  
Jungwoo Kim ◽  
Yuliang Deng ◽  
...  

Malignant pleural effusion (MPE), the presence of malignant cells in pleural fluid, is often the first sign of many cancers and occurs in patients with metastatic malignancies. Accurate detection of tumor cells in pleural fluid is crucial because the presence of MPE denotes an advanced stage of disease and directs a switch in clinical managements. Cytology, as a traditional diagnostic tool, has limited sensitivity especially when tumor cells are not abundant, and may be confounded by reactive mesothelial cells in the pleural fluid. We describe a highly sensitive approach for rapid detection of metabolically active tumor cells in MPE via exploiting the altered glucose metabolism of tumor cells relative to benign cells. Metabolically active tumor cells with high glucose uptake, as evaluated by a fluorescent glucose analog (2-NBDG), are identified by high-throughput fluorescence screening within a chip containing 200,000 addressable microwells and collected for malignancy confirmation via single-cell sequencing. We demonstrate the utility of this approach through analyzing MPE from a cohort of lung cancer patients. Most candidate tumor cells identified are confirmed to harbor the same driver oncogenes as their primary lesions. In some patients, emergence of secondary mutations that mediate acquired resistance to ongoing targeted therapies is also detected before resistance is manifested in the clinical imaging. The detection scheme can be extended to analyze peripheral blood samples. Our approach may serve as a valuable complement to cytology in MPE diagnosis, helping identify the driver oncogenes and resistance-leading mutations for targeted therapies.


Author(s):  
María del Mar Valenzuela- Membrives ◽  
Abel Sanchez- Palencia- Ramos ◽  
Francisco Perea- García ◽  
Francisco Ruiz-Cabello ◽  
Pilar Jimenez ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e19072-e19072
Author(s):  
A. Irigoyen ◽  
C. Olmedo ◽  
J. Valdivia ◽  
A. Comino ◽  
C. Cano ◽  
...  

e19072 Background: The gene expression profile in peripheral blood samples from lung cancer patients is a potential predictor to treatment response. Methods: The study has been developed using 10 healthy volunteers as the control group and 10 lung cancer patients (stage IV). Written informed consent was obtained being the protocol approved by the local Clinical Research and Ethics Committee. Peripheral blood samples were obtained from lung cancer patients before (T0) and after treatment (T15d). RNA from peripheral blood samples was extracted and purified selecting 28S/18S ratios>1.5 to obtain cDNA and cRNA for hybridization of the 20,000 genes included in Human 20K CodeLink. An array from each participant was obtained in duplicate. For each array, 2 μg of cRNA was compared to 2 μg of healthy cRNA.. Significant genes were found using Significance Analysis of Microarrays which uses repeated permutations of the data. Results: The selected genes were expressed >3-fold with a false discovery rate =0.05. Before treatment (T0) when patients were compared to healthy volunteers there was an increase in the expression of: histone 1 H4c, transforming growth factor beta 2, endothelial cell growth factor 1 (platelet-derived), glucose-6-phosphatase catalytic 2, Relaxin 3 receptor 1, Insulin-like growth factor binding protein 2, RAS-like family 11 member B, and ELK4. After treatment (T15d), when each lung cancer patient's results were compared to their own before treatment results (T0), there was an increase in the expression of: Bcl2, myosin light polypeptide 4; interferon alpha-inducible protein 27; interferon gamma receptor 1; RASSF5, ARHGEF6, IGFBP5, tumor protein p53 inducible nuclear protein 1, peroxisome proliferative activated receptor gamma. Conclusions: The data presented identifies biologically relevant over-expressed genes in lung cancer. A validation of these results and the analysis of the genes that identify patients who will respond positively to erlotinib treatment is being carried out. No significant financial relationships to disclose.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15558-e15558
Author(s):  
Hyun Koo Kim ◽  
Byeong Hyeon Choi ◽  
Yu Hua Quan ◽  
Jiyun Rho ◽  
Sunghoi Hong ◽  
...  

e15558 Background: Exosome concentration is known to be higher in cancer patients than in healthy individuals. In this study, we observed that the levels of exosomes differ in tumor-draining pulmonary blood and in peripheral blood in animal models and human subjects at different pathological stages of lung cancer. Methods: Ten rabbits and 40 humans formed the study cohorts. Blood was collected from a peripheral vein in all groups, and pulmonary blood was collected intraoperatively from all groups, except the healthy human controls. Quantitative analysis of exosomes was performed by nanoparticle tracking assay, CD63 enzyme-linked immunosorbent assay, and western blotting. Results: The peripheral blood of lung cancer-bearing animals and patients with lung cancer carried higher amounts of exosome than that from healthy controls ( p < 0.01 and p < 0.001, respectively). Moreover, pulmonary blood from lung cancer-bearing animals and patients had significantly higher exosome levels, compared to preoperative peripheral blood ( p < 0.01 and p < 0.0001, respectively). In patients, pulmonary exosome levels showed higher correlation with pathological stages of lung cancer than the peripheral exosome levels. Conclusions: Exosome levels increased with increasing grade of lung cancer, and this trend was more prominent in the pulmonary than in the peripheral blood.


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