The-14Aug 10, 2025
COVID, the flu and other viral infections can re-awaken dormant breast cancer cells, new study in mice shows
#Health #BreastCancer #CancerResearch #Cancer #Flu #DormantCancerCells #COVID19 #IL6 #CancerRelapse #Metastasis #CancerSurvivors #Immunology
https://the-14.com/covid-the-flu-and-other-viral-infections-can-re-awaken-dormant-breast-cancer-cells-new-study-in-mice-shows/
COVID, the flu and other viral infections can re-awaken dormant breast cancer cells, new study in mice shows | The-14

COVID or flu can wake dormant breast cancer cells via IL-6, raising relapse risk. Protecting survivors from infections may help prevent metastasis.

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Cytology and GeneticsDec 26, 2024
Effect of the Secretome of Mesenchymal Placenta Stem Cells on the Functional Properties of Lewis Lung Carcinoma Cells In Vitro - #Lewislungcarcinomacells #LLCcells #mesenchymalstemcells #cryopreservedhumanplacenta #conditionedmedium #TGFβ #Il6 #prooncogeniceffects - https://link.springer.com/article/10.3103/S0095452724040054
Effect of the Secretome of Mesenchymal Placenta Stem Cells on the Functional Properties of Lewis Lung Carcinoma Cells In Vitro - Cytology and Genetics

Abstract This paper concerns the effect produced by the components of a conditioned medium (K‑medium), in which mesenchymal human placenta cells (hP-MSC) are cultivated, on the characteristics of Lewis lung carcinoma (LLC) cells in the culture. It is shown for the first time that the K-medium (secretome) components have a prooncogenic effect on LLC cells as evidence by an increase in cell survival rates, LLC cell proliferation stimulation, and a decrease in the level of apoptotic cells. The effect of the K-medium on the adhesion characteristics of LLC cells in the process of their monolayer growth and migration from 3D-cultures is also demonstrated. When the hP-MSC secretome interacts with the cultured LLC cells, the production of proinflammatory cytokines TGF β and Il-6 is observed to grow. At the same time, the proangiogenic factor VEGF remains almost at the same level. Similar changes in the microenvironment during the interaction of mesenchymal and tumor cells may underlie various prooncogenic effects observed in our previous studies with different MSC inoculation methods during the development and metastasis of Lewis lung carcinoma in vivo.

SpringerLink
Show threadGiuseppe MichieliSep 1, 2023
''Interpretation: In this first prospective #UK study, probable CAPA was associated with #corticosteroid use, receipt of #IL6 inhibitors and pre-existing #COPD. CAPA did not impact #mortality following adjustment for prognostic variables.''
Show threadArjan BoltjesJul 21, 2023

@gpollara @JExpMed

The work on the DC - quite descriptive - is published. Find it here: https://mastodon.social/@tinyspheresof/109681388538649498

The T cell work has not been published. I think I have a mostly complete manuscript that I could put on bioRXv. I'll discuss it with my former PI.
The short version: #IL6 and #TNF were very abundant, and were in the way of Treg-Teff interaction, #Teff not reacting to #Treg suppression anymore. Possibly partly explaining why drugs against these work in #arthritis.

Show threadArjan BoltjesJul 21, 2023

@gpollara @JExpMed Intriguing. In an earlier postdoc position I had a look at #DendriticCells, and especially the #cDC1 were abundant, but seemed to be just sitting in the inflammatory environment, doing little. One of the very abundant cytokines: #IL6

We also looked at the effect of that and other #cytokines, but mostly on #Tcells, among others due to the low abundance of cDC1 in HC blood to be able to do many in vitro experiments.

AMPEL-CDSSFeb 13, 2023

#ML outperforms classic scores. One of these is the end-stage liver disease prediction model for 90-day mortality (#MELD)

- We derived an ML model AMELD which outperforms MELD, MELD-Na, MELD 3.0, and MELD-Plus7

- How? AMELD extends the classic MELD predictors INR, bilirubin, and cystatin C / creatinine to include total protein, cholinesterase and #IL6

https://doi.org/10.1515/labmed-2022-0162

Using more accurate AMELD prediction may improve #CDS for performing liver transplants

#AMPEL #CDSS #LTx #Liver

A new machine-learning-based prediction of survival in patients with end-stage liver disease

Objectives The shortage of grafts for liver transplantation requires risk stratification and adequate allocation rules. This study aims to improve the model of end-stage liver disease (MELD) score for 90-day mortality prediction with the help of different machine-learning algorithms. Methods We retrospectively analyzed the clinical and laboratory data of 654 patients who were recruited during the evaluation process for liver transplantation at University Hospital Leipzig. After comparing 13 different machine-learning algorithms in a nested cross-validation setting and selecting the best performing one, we built a new model to predict 90-day mortality in patients with end-stage liver disease. Results Penalized regression algorithms yielded the highest prediction performance in our machine-learning algorithm benchmark. In favor of a simpler model, we chose the least absolute shrinkage and selection operator (lasso) regression. Beside the classical MELD international normalized ratio (INR) and bilirubin, the lasso regression selected cystatin C over creatinine, as well as IL-6, total protein, and cholinesterase. The new model offers improved discrimination and calibration over MELD and MELD with sodium (MELD-Na), MELD 3.0, or the MELD-Plus7 risk score. Conclusions We provide a new machine-learning-based model of end-stage liver disease that incorporates synthesis and inflammatory markers and may improve the classical MELD score for 90-day survival prediction.

De Gruyter