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Concept

Fine-needle aspiration

Related publications (15)

Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma

Li Zhang, Jiancheng Yang

This research explores the potential of multimodal fusion for the differential diagnosis of early-stage lung adenocarcinoma (LUAD) (tumor sizes < 2 cm). It combines liquid biopsy biomarkers, specifically extracellular vesicle long RNA (evlRNA) and the comp ...

Nature Portfolio2024

Development and validation of a multiplex real-time qPCR assay using GMP-grade reagents for leprosy diagnosis

Stewart Cole, Charlotte Avanzi

Author summaryLeprosy is a chronic dermato-neurological disease caused by Mycobacterium leprae, an obligate intracellular bacterium. Diagnosis of leprosy often relies on skin examinations for clinical signs, bacilli staining from skin smears and invasive s ...

PUBLIC LIBRARY SCIENCE2022

Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

Christoph Merten, Ngoc Hien Du

Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, ...

Nature Research2022

BCG hydrogel promotes CTSS-mediated antigen processing and presentation, thereby suppressing metastasis and prolonging survival in melanoma

Li Tang, Bing Feng

Background The use of intralesional Mycobacterium bovis BCG (intralesional live BCG) for the treatment of metastatic melanoma resulted in regression of directly injected, and occasionally of distal lesions. However, intralesional-BCG is less effective in p ...

BMJ PUBLISHING GROUP2022

Microfluidic systems for cancer diagnostics

Sebastian Maerkl

Although not employed in the clinic as of yet, microfluidic systems are likely to become a key technology for cancer diagnostics and prognosis. Microfluidic devices have been developed for the analysis of various biomarkers including circulating tumor cell ...

2020

90 YEARS OF PROGESTERONE Progesterone receptor signaling in the normal breast and its implications for cancer

Cathrin Brisken, Valentina Scabia

Progesterone is considered as the pregnancy hormone and acts on many different target tissues. Progesterone receptor (PR) signaling is important for normal development and the physiologic function of the breast and impinges on breast carcinogenesis. Both s ...

BIOSCIENTIFICA LTD2020

Advanced technological tools to study multidrug resistance in cancer

Sandor Kasas

The complexity of cancer biology and its clinical manifestation are driven by genetic, epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic instability as well as by environmental conditions and lifestyle factors. Althoug ...

CHURCHILL LIVINGSTONE2020

Tumor-associated factors are enriched in lymphatic exudate compared to plasma in metastatic melanoma patients

Melody Swartz, Romain Hamelin, Davide Demurtas, Alexandre Harari, Lambert Charles François Potin, Patricia Corthésy Henrioud

Liquid biopsies allow monitoring of cancer progression and detection of relapse, but reliable biomarkers in melanoma are lacking. Because secreted factors preferentially drain to lymphatic vessels before dilution in the blood, we hypothesized that lymph sh ...

ROCKEFELLER UNIV PRESS2019

Combining fluorescence-based image segmentation and automated microfluidics for ultrafast cell-by-cell assessment of biomarkers for HER2-type breast carcinoma

Martinus Adela Maria Gijs, Daniel Migliozzi, Huu Tuan Nguyen

Immunohistochemistry (IHC) is one of the main clinical techniques for biomarker assessment on tissue biopsies. It consists in chromogenic labeling with specific antibodies, followed by optical imaging, and it is used for diagnosis and therapeutic targeting ...

SPIE Society of Photo-optical Instrumentation Engineers2019

Microfluidic-based immunohistochemistry for breast cancer diagnosis: a comparative clinical study

Martinus Adela Maria Gijs, Diego Gabriel Dupouy, Saska Brajkovic, Fabio Aimi

Breast cancer is a highly heterogeneous disease. The efficacy of tailored therapeutic strategies relies on the precise detection of diagnostic biomarkers by immunohistochemistry (IHC). Therefore, considering the increasing incidence of breast cancer cases, ...

2019

Classification of Healthy and Cancer States of Colon Epithelial Tissues Using Opto-magnetic Imaging Spectroscopy

Marko Baros

Colorectal carcinoma (CRC) as a major health problem in industrialized countries is highly preventable and can be successfully treated in the early stages. However, incidence and mortality of CRC has increased over the last two decades. The reason could be ...

2019

Mutant CTNNB1 and histological heterogeneity define metabolic subtypes of hepatoblastoma

Paolo Angelino, Mauro Delorenzi, Etienne Meylan, Jessica Christine Vazquez, Pierre-Benoit Bernard Ancey

Hepatoblastoma is the most common malignant pediatric liver cancer. Histological evaluation of tumor biopsies is used to distinguish among the different subtypes of hepatoblastoma, with fetal and embryonal representing the two main epithelial components. W ...

2017

Influence of Blade Aspiration on the Flow Quality of an Annular Axial Compressor Cascade

Peter Ott, Elia Colombo

Experimental and numerical investigations were performed in order to develop a technique of active flow control by aspiration applied to an annular axial compressor cascade. Continuous aspiration is applied through shaped slots located on the suction side ...

2011

Investigation on the Three-Dimensional Flow Mechanisms in Annular Axial Compressor Cascades for Aero Engines with Flow Control by Aspiration on the Hub and on the Blades

Elia Colombo

The axial compressor is an essential component of aero-engines and gas turbines. This work investigates how flow control by aspiration applied to the hub and to the blades of axial compressor wheels can improve the static pressure rise by preventing detrim ...

EPFL2011

Can survival prediction be improved by merging gene expression data sets?

Philipp Bucher

BACKGROUND: High-throughput gene expression profiling technologies generating a wealth of data, are increasingly used for characterization of tumor biopsies for clinical trials. By applying machine learning algorithms to such clinically documented data set ...

Public Library of Science2009