Abstract 741: Characterization of high-grade serous ovarian carcinoma by measuring functional signal transduction pathway activity

Author(s):  
Phyllis van der Ploeg ◽  
Laura van Lieshout ◽  
Yvonne Wesseling-Rozendaal ◽  
Anja van de Stolpe ◽  
Diederick Keizer ◽  
...  
Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2660
Author(s):  
Laura van Lieshout ◽  
Anja van de Stolpe ◽  
Phyllis van der Ploeg ◽  
David Bowtell ◽  
Joanne de Hullu ◽  
...  

We investigated signal transduction pathway (STP) activity in high-grade serous ovarian carcinoma (HGSC) in relation to progression-free survival (PFS) and overall survival (OS). We made use of signal transduction pathway activity analysis (STA analysis), a novel method to quantify functional STP activity. Activity of the following pathways was measured: androgen receptor (AR), estrogen receptor (ER), phosphoinositide 3-kinase (PI3K), Hedgehog (Hh), Notch, nuclear factor-kappa B (NF-κB), transforming growth factor beta (TGF-β), and Wnt. We selected HGSC samples from publicly available datasets of ovarian cancer tissue, and used repeated k-means clustering to identify pathway activity clusters. PFS and OS of the clusters were analyzed. We used a subset of publicly available dataset GSE9891 (n = 140), where repeated k-means clustering based on PI3K and NF-κB pathway activity in HGSC samples resulted in two stable clusters. The cluster with low PI3K and high NF-κB pathway activity (n = 72) had a more favorable prognosis for both PFS (p = 0.004) and OS (p = 0.001) compared to the high-PI3K and low-NF-κB pathway activity cluster (n = 68). The low PI3K and high NF-κB pathway activity of the favorable prognosis cluster may indicate a more active immune response, while the high PI3K and low NF-κB pathway activity of the unfavorable prognosis cluster may indicate high cell division.


Cancers ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 5101
Author(s):  
Laura van Lieshout ◽  
Phyllis van der Ploeg ◽  
Yvonne Wesseling-Rozendaal ◽  
Anja van de Stolpe ◽  
Steven Bosch ◽  
...  

High-grade serous ovarian carcinoma (HGSC), the most common subtype of ovarian cancer, has a high mortality rate. Although there are some factors associated with survival, such as stage of disease, there are remarkable differences in survival among women diagnosed with advanced stage disease. In this study, we investigate possible relations between survival and signal transduction pathway (STP) activity. We assessed the functional activity of the androgen receptor (AR), estrogen receptor (ER), phosphoinositide-3-kinase (PI3K), Hedgehog (HH), transforming growth factor beta (TGF-β) and canonical wingless-type MMTV integration site (Wnt) pathway in 85 primary tumor samples of patients with FIGO stage IIIC to IVB HGSC and disease-free survival (DFS) below 12 (n = 52) or over 24 months (n = 33). There were no significant differences in median pathway activity between patients with a short and long DFS. In univariate Cox proportional hazards analysis, ER pathway activity was related to a favorable DFS and overall survival (OS) in postmenopausal women (p = 0.033 and p = 0.041, respectively), but not in premenopausal women. We divided the postmenopausal group into subgroups based on ER pathway activity quartiles. Survival analysis revealed that postmenopausal women in the lowest ER quartile had a shorter DFS and OS (log-rank p = 0.006 and p < 0.001, respectively). Furthermore, we were able to form subgroups of patients based on an inverse relation between ER and PI3K pathway activity. In conclusion, in postmenopausal patients with advanced stage HGSC, a poorer survival outcome was associated with low functional ER pathway activity.


2021 ◽  
Author(s):  
Wilbert Bouwman ◽  
Wim Verhaegh ◽  
Anja van de Stolpe

Introduction Sepsis is a life-threatening complication of a bacterial infection. Accurate and timely diagnosis, as well as prognosis-prediction, is difficult. It is hard to predict which patients with a bacterial infection will develop sepsis. Aside from antibiotics-based treatment of the causative infection and circulation-supportive measures, treatment options remain very limited. Better understanding of the immuno-pathophysiology of sepsis may lead to improved diagnostic and therapeutic solutions. Functional activity of the innate (inflammatory) and adaptive immune response is controlled by a dedicated set of cellular signal transduction pathways in the various immune cell types. To develop an immune response-based assay for sepsis for diagnostic, prognostic and therapeutic purposes, signaling pathway activities were analyzed in whole blood samples from patients with sepsis. Methods A prevalidated and previously published set of signal transduction pathway (STP) assays was used to analyze public Affymetrix expression microarray data from multiple clinical studies with pediatric and adult patients with sepsis. STP activity measurement is based on computational interpretation of a preselected set of target gene mRNA expression levels. STP assays were used to calculate androgen receptor, estrogen receptor, JAK-STAT1/2, JAK-STAT3, Notch, Hedgehog, TGFβ, FOXO-PI3K, MAPK-AP1, and NFκB signal transduction pathway activity scores for individual patient samples. Results Activity of both AR and TGFβ pathways was increased in both children and adults with sepsis. Using the upper threshold of normal pathway activity range as threshold diagnostic assay parameters were determined. For pediatric sepsis diagnosis, the AR pathway assay showed high sensitivity (77%) and specificity (97%), with a PPV of 99% and NPV of 50%. For prediction of favorable prognosis (survival), PPV was 95%, NPV was 21%. The TGFβ pathway activity assay performed slightly less for diagnosing sepsis, with a sensitivity of 64% and specificity of 98% (PPV 99%, NPV 39%) Conclusion We have demonstrated potential clinical use of measuring AR and TGFβ pathway activity in sepsis patients. Both androgen receptor and TGFβ pathways have been described as immunosuppressive pathways, and increased activity in patients with sepsis suggests a causal relation with the immunopathology in sepsis. The AR pathway assay has been converted to a qPCR test for further testing of clinical utility for sepsis diagnosis and prediction of prognosis, as well as for prediction of risk at developing sepsis in patients with a bacterial infection. In view of their putative role in sepsis pathophysiology, both the AR and TGFβ pathways may present novel drug targets in sepsis.


2021 ◽  
Author(s):  
Jeremy D. Amon ◽  
Lior Artzi ◽  
David Z. Rudner

Bacterial spores can rapidly exit dormancy through the process of germination. This process begins with the activation of nutrient receptors embedded in the spore membrane. The prototypical germinant receptor in Bacillus subtilis responds to L-alanine and is thought to be a complex of proteins encoded by the genes in the gerA operon: gerAA , gerAB , and gerAC . The GerAB subunit has recently been shown to function as the nutrient sensor, but beyond contributing to complex stability, no additional functions have been attributed to the other two subunits. Here, we investigate the role of GerAA. We resurrect a previously characterized allele of gerA (termed gerA* ) that carries a mutation in gerAA and show it constitutively activates germination even in the presence of a wild-type copy of gerA . Using an enrichment strategy to screen for suppressors of gerA* , we identified mutations in all three gerA genes that restore a functional receptor. Characterization of two distinct gerAB suppressors revealed that one ( gerAB[E105K]) reduces the GerA complex's ability to respond to L-alanine, while another ( gerAB[F259S] ) disrupts the germinant signal downstream of L-alanine recognition. These data argue against models in which GerAA is directly or indirectly involved in germinant sensing. Rather, our data suggest that GerAA is responsible for transducing the nutrient signal sensed by GerAB. While the steps downstream of gerAA have yet to be uncovered, these results validate the use of a dominant-negative genetic approach in elucidating the gerA signal transduction pathway. Importance Endospore formers are a broad group of bacteria that can enter dormancy upon starvation and exit dormancy upon sensing the return of nutrients. How dormant spores sense and respond to these nutrients is poorly understood. Here, we identify a key step in the signal transduction pathway that is activated after spores detect the amino acid L-alanine. We present a model that provides a more complete picture of this process that is critical for allowing dormant spores to germinate and resume growth.


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