Publications related to Abstract 4588: Cell states and resistance in colorectal cancer: What can we learn from patient-derived organoids?

Related publications (21)

Nanomotion-Based Drug Sensitivity Prediction in Ovarian and Colon Cancer Cell Lines Using Machine Learning

Cancer drug resistance remains a critical challenge in oncology, demanding rapid and reliable diagnostic tools to assess tumor cell susceptibility to treatment. This study presents a nanomotion-based drug susceptibility testing (DST) approach, integrating ...

American Chemical Society (ACS)2025

Breaking the Rhythm: Harnessing the Menstrual Cycle for Better Chemotherapy

Pranay Dey, Cathrin Brisken

A recent publication by Bornes and colleagues explored the impact of the estrous cycle on mammary tumor response to neoadjuvant chemotherapy. Using genetically engineered mouse models, Bornes and colleagues revealed that chemotherapy is less effective when ...

AMER ASSOC CANCER RESEARCH2025

A new effLuc/Kate dual reporter allele for tumor imaging in mice

Douglas Hanahan, Mélanie Louise Tichet, Ke Cheng, Elizabeth Anne Allen

Genetically engineered mouse models (GEMMs) are instrumental for modelling local and systemic features of complex diseases, such as cancer. Non-invasive, longitudinal cell detection and monitoring in tumors, metastases and/or the micro-environment is param ...

The Company of Biologists2025

Nongenetic evolution of the tumor: from challenges to new therapeutic opportunities

Elisa Oricchio

The ability of cancer cells to change and adapt poses a critical challenge to identifying curative solutions. Tumor evolution has been extensively studied from a genetic perspective, to guide clinicians in selecting the most appropriate therapeutic option ...

WILEY2024

NMR-based metabolomics combined with metabolic pathway analysis reveals metabolic heterogeneity of colorectal cancer tissue at different anatomical locations and stages

Lijing Xin

Colorectal cancer (CRC) still remains the leading cause of cancer death worldwide. This study aimed to profile the metabolic differences of colorectal cancer tissues (CCT) at different stages and sites, as compared with their distant noncancerous tissues ( ...

2024

SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

Jiancheng Yang

Lung cancer is the leading cause of cancer death worldwide. The best solution for lung cancer is to diagnose the pulmonary nodules in the early stage, which is usually accomplished with the aid of thoracic computed tomography (CT). As deep learning thrives ...

IEEE COMPUTER SOC2024

Convergent inducers and effectors of T cell paralysis in the tumour microenvironment

Douglas Hanahan

Tumorigenesis embodies the formation of a heterotypic tumour microenvironment (TME) that, among its many functions, enables the evasion of T cell-mediated immune responses. Remarkably, most TME cell types, including cancer cells, fibroblasts, myeloid cells ...

NATURE PORTFOLIO2024

Slow-Binding and Covalent HDAC Inhibition: A New Paradigm?

Carlos Moreno Yruela

The dysregulated post-translational modification of proteins is an established hallmark of human disease. Through Zn2+-dependent hydrolysis of acyl-lysine modifications, histone deacetylases (HDACs) are key regulators of disease-implicated signaling pathwa ...

AMER CHEMICAL SOC2024

Decoding Chromatin Ubiquitylation: A Chemical Biology Perspective

Beat Fierz, Pauline Franz

Since Strahl and Allis proposed the "language of covalent histone modifications", a host of experimental studies have shed light on the different facets of chromatin regulation by epigenetic mechanisms. Initially proposed as a concept for controlling gene ...

Academic Press Ltd- Elsevier Science Ltd2024

Regulation and function of a hemicleaved Activin-A processing intermediate in melanoma

Manon Bulliard

Activin-A is a Transforming Growth Factor-B (TGFB)-related cytokine that regulates various biological processes including cell proliferation and differentiation through autocrine, paracrine or endocrine signaling. Activin-A expression is upregulated in mul ...

EPFL2023

Deconvolution of ex-vivo drug screening data and bulk tissue expression predicts the abundance and viability of cancer cell subpopulations

Alexandre Coudray

Ex-vivo drug sensitivity screening (DSS) allows the prediction of cancer treatment effectiveness in a personalized fashion. However, it only provides a readout on mixtures of cells, potentially occulting important information on clinically relevant cell su ...

EPFL2023

Comparative Evaluation of Lipofectamine and Dendrimer for Transfection of Short RNA Into Human T47D and MCF-10A Cell Lines

Erfan Shirzadi

Purpose: Non-viral transfection approaches are extensively used in cancer therapy. The future of cancer therapy lies on targeted and efficient drug/gene delivery. The aim of this study was to determine the transfection yields of two commercially available ...

2023

Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Li Zhang, Jiancheng Yang

Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. ...

SPRINGER2023

Structural Basis of the Allosteric Inhibition of Human ABCG2 by Nanobodies

Henning Paul-Julius Stahlberg, Dongchun Ni

ABCG2 is an ATP-binding cassette transporter that exports a wide range of xenobiotic compounds and has been recognized as a contributing factor for multidrug resistance in cancer cells. Substrate and inhibitor interactions with ABCG2 have been extensively ...

Academic Press Ltd- Elsevier Science Ltd2023

Translational screening platform to evaluate chemotherapy in combination with focal therapy for retinoblastoma

Paul Joseph Dyson, Valentin Simeonov, Fabien Kuttler, Patrik Aouad, Irina Sinenko

Retinoblastoma is the most common pediatric eye cancer. It is currently treated with a limited number of drugs, adapted from other pediatric cancer treatments. Drug toxicity and relapse of the disease warrant new therapeutic strategies for these young pati ...

WILEY2023

China lung cancer screening (CLUS) version 2.0 with new techniques implemented: Artificial intelligence, circulating molecular biomarkers and autofluorescence bronchoscopy

Jiancheng Yang

Objective: The present study, CLUS version 2.0, was conducted to evaluate the performance of new techniques in improving the implementation of lung cancer screening and to validate the efficacy of LDCT in reducing lung cancer-specific mortality in a high-r ...

ELSEVIER IRELAND LTD2023

Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma

Viktor Vorobev

Hemangioma, the predominant benign tumor occurring in infancy, exhibits a wide range of prognoses and associated outcomes. The accurate determination of prognosis through noninvasive imaging modalities holds essential importance in enabling effective perso ...

Wiley-V C H Verlag Gmbh2023

Simultaneous and Selective Detection of Etoposide and Methotrexate With Single Electrochemical Sensors for Therapeutic Drug Monitoring

Sandro Carrara, Francesca Rodino

Etoposide (ETO) and methotrexate (MTX) are widely used chemotherapy drugs in cancer treatment, targeting specific cellular processes crucial for DNA replication and cell division. Despite their efficacy, both drugs have significant adverse toxic effects du ...

2023

TGF beta-mediated MMP13 secretion drives myoepithelial cell dependent breast cancer progression

Cathrin Brisken, Andrea Agnoletto

Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer. Virtually all women with DCIS are treated, despite evidence suggesting up to half would remain with stable, non-threatening, disease. Overtreatment thus presents a press ...

Nature Research2023

Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules

Jiancheng Yang

PurposeTo investigate the performance of an artificial intelligence (AI) algorithm for assessing the malignancy and invasiveness of pulmonary nodules in a multicenter cohort.MethodsA previously developed deep learning system based on a 3D convolutional neu ...

2023