Biology subjects

Trachtova, K.

Publications and source records attributed to Trachtova, K..

5 recordsLinked to original sources

bioRxiv2026

Amygdala metabolic activity on FDG PET is associated with survival, response to immune checkpoint inhibition, and tumor immune signaling in non-small cell lung cancer

Amygdala metabolic activity (AmygAc) measured by [18F]FDG PET has been associated with chronic psychological stress and adverse clinical outcomes, but its relationship with antitumor immunity and treatment response remains incompletely understood. We investigated AmygAc as a host-derived imaging biomarker in non-small cell lung cancer (NSCLC) and examined its association with survival, response to immune checkpoint inhibition (ICI), and the tumor immune microenvironment. Methods: In this multicenter retrospective study, baseline [18F]FDG PET scans from 256 treatment-naive patients with NSCLC were analyzed to quantify AmygAc. Overall survival was assessed in the full cohort, and treatment response was evaluated in 79 patients who subsequently received neoadjuvant ICI therapy. AmygAc was integrated with clinical and tumor-derived imaging parameters. To investigate its biological correlates, tumor tissue from a selected subcohort was analyzed using multiplex immunofluorescence and spatial transcriptomics.

cancer biology↗

bioRxiv2025

Predicting compatibility between ferredoxins and the Fe protein of nitrogenase using in silico protein modeling

Biological nitrogen fixation is the process by which certain bacteria and archaea use the enzyme nitrogenase to reduce atmospheric nitrogen into bioavailable ammonium. Engineering non-nitrogen-fixing organisms, like plants, to use nitrogenase could reduce dependency on synthetic fertilizer and mitigate the environmental impacts of industrial fertilizer production. However, nitrogenase activity requires delivery of reducing power by small electron carrying proteins known as ferredoxins and flavodoxins, and successfully engineering nitrogenase into new systems will require a mechanistic understanding of electron delivery by these proteins. Most organisms often have multiple ferredoxins, raising the question of which ferredoxin can support nitrogenase activity. The purpose of this study is to gain insight into how we can predict which ferredoxin is compatible with the Fe protein, the component of nitrogenase that interacts with ferredoxin or flavodoxin. Our in silico protein-protein docking simulations reveal that ferredoxins and flavodoxins involved in nitrogen fixation have a distance [≤] 10 [A] between their redox cofactor and the [4Fe-4S] cluster of the Fe protein. We found shorter cofactor distance contributes to faster intermolecular electron tunneling rates (> 106 sec-1). These nitrogen-fixing bacterial ferredoxins also form more complementary interactions with the Fe protein compared to non-nitrogen-fixing bacterial and plant ferredoxins. Heterologous expression of a set of ferredoxins from both nitrogen-fixing and non-nitrogen-fixing bacteria in the diazotroph Rhodopseudomonas palustris support our model-derived prediction that cofactor distances of [≤] 10 [A] favor nitrogenase compatibility. These findings offer a framework to predict and potentially enhance ferredoxin-nitrogenase compatibility, which will help to improve our ability to engineer nitrogen fixation into non-nitrogen-fixing organisms like plants.

microbiology↗

bioRxiv2024

Cell-autonomous GP130 activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment

Prostate cancer ranks as the second most frequently diagnosed cancer in men worldwide. Recent research highlights the crucial roles GP130-mediated signaling pathways play in the development and progression of various cancers, particularly through hyperactivated STAT3 signaling. Here, we find that genetic cell-autonomous activation of the GP130 receptor in prostate epithelial cells triggers active STAT3 signaling and significantly reduces tumor growth in vivo. Mechanistically, genetic activation of GP130 signaling mediates senescence via the STAT3/ARF/p53 axis and anti-tumor immunity via recruitment of cytotoxic T-cells, ultimately impeding tumor progression. In prostate cancer patients, high GP130 mRNA expression levels correlate with better recurrence-free survival, increased senescence signals and a transition from an immune-cold to an immune-hot tumor. Our findings reveal a context-dependent role of GP130/STAT3 in carcinogenesis and a tumor-suppressive function in prostate cancer development. We challenge the prevailing concept of blocking GP130/STAT3 signaling as functional prostate cancer treatment and instead propose cell-autonomous GP130 activation as a novel therapeutic strategy.

cancer biology↗

bioRxiv2023

JUN mediates senescence and immune cell recruitment to prevent prostate cancer progression

BackgroundProstate cancer develops through malignant transformation of the prostate epithelium in a stepwise, mutation-driven process. Although activator protein-1 transcription factors such as JUN have been implicated as potential oncogenic drivers, the molecular programs contributing to prostate cancer progression are not fully understood. MethodsWe analyzed JUN expression in clinical prostate cancer samples across different stages and investigated its functional role in a Pten-deficient mouse model. We performed histopathological examinations, transcriptomic analyses and explored the senescence-associated secretory phenotype in the tumor microenvironment. ResultsElevated JUN levels characterized early-stage prostate cancer and predicted improved survival in human and murine samples. Immune-phenotyping of Pten-deficient prostates revealed high accumulation of tumor-infiltrating leukocytes, particularly innate immune cells, neutrophils and macrophages as well as high levels of STAT3 activation and IL-1{beta} production. Jun depletion in a Pten-deficient background prevented immune cell attraction which was accompanied by significant reduction of active STAT3 and IL-1{beta} and accelerated prostate tumor growth. Comparative transcriptome profiling of prostate epithelial cells revealed a senescence-associated gene signature, upregulation of pro-inflammatory processes involved in immune cell attraction and of chemokines such as IL-1{beta}, CCL3 and CCL8 in Pten-deficient prostates. Strikingly, JUN depletion reversed both, senescence and senescence-associated immune cell infiltration and consequently accelerated tumor growth. ConclusionsOur results suggest that JUN acts as tumor-suppressor and decelerates the progression of prostate cancer by transcriptional regulation of senescence- and inflammation-associated genes. This study opens avenues for novel treatment strategies that could impede disease progression and improve patient outcomes.

cancer biology↗

bioRxiv2022

STAT3 restricts prostate cancer metastasis and antiandrogen resistance by controlling LKB1/CREB signaling pathway

Prostate cancer (PCa) lethality is driven by its progression to a metastatic castration-resistant state, yet the signaling mechanisms underlying metastatic spread remain unknown. Here we show that STAT3 converges with the LKB1/mTORC1 and CREB to control metastatic disease in PCa mouse models. Unexpectedly, STAT3 was found to be upregulated in diabetic PCa patients undergoing metformin therapy with a concomitant reduction in mTORC1 expression. In preclinical mouse models of PCa, genetic ablation or activation of STAT3 had opposing effects on LKB1/AMPK/mTORC1- dependent tumorigenesis. Using genetic and pharmacological approaches, we identified LKB1 as a direct STAT3 target while repressing CREB. Furthermore, PCa patients with high CREB expression had inferior clinical outcome with significantly increased risk of disease and metastatic recurrence. We observe that castration state lowers STAT3 abundance and increases AR and CREB levels, leading to castration-resistant PCa (CRPC). Our findings revealed that STAT3 controls mTORC1 and CREB in metastatic disease, suggesting CREB as a promising target for lethal CRPC.

cancer biology↗