Abstract. Circulating tumor cells (CTC) and tumor-derived Extracellular Vesicles (tdEV) loads are prognostic of survival in carcinoma patients. The current meth
Global liquid biopsy for cancer diagnostics market size is expected to reach $16.42 Bn by 2028 at a rate of 15.7%, segmented as by type, product, services...
As we celebrate this festive season, i am excited to share the spirit of innovation and discovery with our valued community. This is… | 40 commentaires sur LinkedIn
The limited sensitivity of circulating tumor cell (CTC) detection in pancreatic adenocarcinoma (PDAC) stems from their extremely low concentration in the whole circulating blood, necessitating enhanced detection methodologies. This study sought to amplify assay-sensitivity by employing diagnostic leukapheresis (DLA) to screen large blood volumes. Sixty patients were subjected to DLA, with a median processed blood volume of ~ 2.8 L and approximately 5% of the resulting DLA-product analyzed using CellSearch (CS). Notably, DLA significantly increased CS-CTC detection to 44% in M0-patients and 74% in M1-patients, yielding a 60-fold increase in CS-CTC enumeration. DLA also provided sufficient CS-CTCs for genomic profiling, thereby delivering additional genomic information compared to tissue biopsy samples. DLA CS-CTCs exhibited a pronounced negative prognostic impact on overall survival (OS), evidenced by a reduction in OS from 28.6 to 8.5 months (univariate: p = 0.002; multivariable: p = 0.043). Additionally, a marked enhancement in sensitivity was achieved (by around 3-4-times) compared to peripheral blood (PB) samples, with positive predictive values for OS being preserved at around 90%. Prognostic relevance of CS-CTCs in PDAC was further validated in PB-samples from 228 PDAC patients, consolidating the established association between CTC-presence and reduced OS (8.5 vs. 19.0 months, p < 0.001). In conclusion, DLA-derived CS-CTCs may serve as a viable tool for identifying high-risk PDAC-patients and aiding the optimization of multimodal treatment strategies. Moreover, DLA enables comprehensive diagnostic profiling by providing ample CTC material, reinforcing its utility as a reliable liquid-biopsy approach. This high-volume liquid-biopsy strategy presents a potential pathway for enhancing clinical management in this malignancy.
World Experts. Your Colleagues. Join Us. You are cordially invited to attend ICCS 2023, the 38th Annual International Clinical Cytometry Meeting & Course. Please join your clinical cytometry colleagues from September 29 - October 3, 2023.
📢 What to know how cancer cells change their identity to evolve and escape therapy? Check out our latest review in Cancer Discovery that presents unifying…
Check the newest paper from Cíntia Marques, Olivier Jordan, Gerrit Borchard (he/him) from Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO)-…
The scale of the plots presenting your flow cytometry data are actually critically important in getting good results with high dimensional data analysis. The…
How do we decide which fluorophores to use for spectral flow cytometry? Last week I suggested treating spectral cytometers just like conventional cytometers with lots of detectors. For the purpose of fluorophore selection, this means picking one fluorophore to peak in detector. I'll show some exceptions to this rule, and also show how they aren't as exceptional as they might first appear. The guidelines I'm presenting here are most important as you increase the size and complexity of your panels
The Center for Bioactive Delivery's Pobezinsky and Pobezinskaya have analyzed and described what they call the "mosquito effect," shedding light on how certain pathogens can outwit the body's immune system.
BackgroundThere is a growing need for immunological assays to test toxic and modulatory effects of chemicals. The assays should be easy to use, reproducible and superior to cell line-based assays. We have therefore developed a comprehensive portfolio of assays based on primary human blood cells that are suitable for testing chemical effects.MethodsThe flow cytometry-based assays were designed to target a wide range of human peripheral blood mononuclear cells and whole blood, including T cells, NK cells, B cells, basophils and innate-like T cells such as γδT, MAIT and NKT cells. We have selected a set of activation markers for each immune cell, e.g: CD154 (T cells), CD137, CD107a (NK cells), CD63 (basophils), CD69, CD83 (B cells), CD69, IFN-γ (MAIT cells) and we selected cell specific stimuli: aCD3 antibodies (T cells); E. coli and cytokines IL-12/15/18 (MAIT cells); CpG ODN2006, R848 or aCD40 antibodies (B cells), fMLP or aFcϵR1 (basophils) or K562 cells (NK cells).ResultsBy selecting immune cell-specific markers and cell-specific stimuli, we were able to induce particular immune responses from the targeted immune cells. For example, the response to stimulation with anti-CD3 antibodies was in 36.8% of CD107a+CD8+ cells. Cytokine stimulation induced the production of IFN-γ in 30% of MAIT cells. After stimulation with E. coli, around 50% of MAIT cells produced TNF. About 40% of basophils responded to aFcƐR1 stimulation. Similar activation ranges were achieved i
Hematologic malignancies (blood cancers) are diseases of immune system cells and are traditionally categorized according to where the cancer is first detected.
The amount of data collected with cytometers keeps increasing. With studies measuring up to 40 markers, millions of cells per sample and up to thousands of samples, manual gating of all this data becomes infeasible. In this summer school, we will have workshops on all steps of a computational cytometry pipeline in R. On Monday morning, we offer two tracks, one for people with a cytometry background and one for people with a computational background. From Monday afternoon onwards, we will dive into the computational cytometry specifics. We will cover data cleaning, cell population identification and downstream statistics. In addition, we will also have some sessions where these concepts are demonstrated on commercial platforms, such as FlowJo, FCSExpress and OMIQ.
IntroductionThe three groups of helper innate lymphoid cells (ILCs), namely ILC1, ILC2 and ILC3, have been identified by flow cytometry by combinations of cell surface markers. Here, we review various ways ILCs are currently identified, focusing on potential problems and their solutions. The first step to identify all ILCs is to exclude other lymphocytes and myeloid cells by their lineage-specific markers (Lin). However, the Lin cocktail varies in various studies, and the definition of Lin- population containing ILCs is often ambiguous, resulting in contamination of Lin+ cells, particularly T cells.MethodWe have designed combinations of cell surface markers to identify ILC populations in various tissues of B6 mice by flow cytometry. To minimize T cell contamination, TCR/CD3ϵ antibodies were used separately from the Lin cocktail. ILCs identified by surface markers are confirmed by the expression of the transcription factors GATA3, RORγt, T-bet and Eomes.ResultILC1s in the B6 mouse liver are identified by Lin-NKp46+NK1.1+TCR/CD3ϵ−CD49a+CD49b−. However, defining ILC1s in other tissues remains a challenge. ILC2s in the lung are identified by Lin−TCR/CD3ϵ− Thy1+CD127+ST2+ whereas ILC2s in the small intestine and liver are identified by Lin−TCR/CD3ϵ−Thy1+GATA3+RORγt−. ILC3s in B6 mouse spleen, liver, lung and small intestine are identified by Lin−TCR/CD3ϵ− Thy1+CD127+RORγt+.DiscussionThe ILC population is heterogeneous and the strategies to identify ILCs have to be designed fo
🩸 Delighted to share this article on the characterization of viable CTCs with you ! Good reading !!!! 💫 #liquidbiopsy #circulatingtumorcells #CTCs #cancer…
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Obviously, this first Scoop is not significant of the information you will find through the following 187 pages of this topic,
with many recent informations of developments of
flow cytometry,
image cytometry...
focusing particularly on the detection, quantification, characterization of rare events (CTCs
https://www.scoop.it/topic/from-flow-cytometry-to-cytomics?q=ctc
CECS, microvesicles...
in peripheral blood and biological fluids in the context of liquid biopsy
https://www.scoop.it/topic/from-flow-cytometry-to-cytomics?q=liquid+biopsy
more than 3000 scoops, >5200 visitors, 10700 views (march 2015)
juin 2019 more than 4400 scoops, >13K visitors, >31,6 K views
august 2022, More than 4.7K scoops, more than 15.4K visitors
For data from the curator, see the Nancytomique topic.
http://www.scoop.it/t/nancytomique