Results 141 to 150 of about 10,579,206 (300)

PANoptosis in the pathogenesis of myelodysplastic syndromes

Molecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla, Jyoti Lamichhane, Cameron Lewis, Peter Breslin, Jiwang Zhang   +4 more
wiley   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

THE CAUSAL STRUCTURE OF LAND PRICE DETERMINANTS [PDF]

This paper investigates causation contemporaneously and over time to elucidate the persistent lack of agreement about what "causes" changes in farmland prices.
Duke, Joshua M., Awokuse, Titus O.
core  

Partially Observed Structural Causal Models

Here we introduce Partially Observed Structural Causal Models (POSCMs) that formalize causal systems where latent contexts co-determine both the interaction structure and downstream mechanisms on observed variables.
Matelski, J., Wu, C. ; https://orcid.org/, Kording, K., Butz, M., Orujlu, T. ; https://orcid.org/   +4 more
core   +1 more source

Interpretable Neural Causal Models with TRAM-DAGs

The ultimate goal of most scientific studies is to understand the underlying causal mechanism between the involved variables. Structural causal models (SCMs) are widely used to represent such causal mechanisms.
Sick, Beate, Dürr, Oliver
core   +1 more source

Castration‐resistant prostate cancer cells are addicted to the high activity of cyclin‐dependent kinase 2

Molecular Oncology, EarlyView.
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee, Alessia Marin, Shivani Yalala, Harri M. Itkonen   +3 more
wiley   +1 more source

Instrumental Variable Estimators for Binary Outcomes [PDF]

The estimation of exposure effects on study outcomes is almost always complicated by non-random exposure selection - even randomised controlled trials can be affected by participant non-compliance.
Frank Windmeijer, Paul Clarke
core  

Heat-related illness and chronic obstructive pulmonary disease: causal inference using marginal structural models

BMC Public Health
Background Heat-related illness (HRI) may serve as a more reliable individual-level indicator of extreme heat exposure compared to ambient temperature, which has spatial autocorrelation problems.
Taiyue Jin, Seyoung Kim, Seulbi Lee, Soontae Kim, Jin-Kyoung Oh, Bomi Park, Byungmi Kim   +6 more
doaj   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

Causal additive models with smooth backfitting

Journal of Causal Inference
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
doaj   +1 more source