GLNGian Luca Negri
Papers(5)
Cystathionine gamma‐l…Changes in the tumour…Re-expression of SMAR…The proteome of clear…Proteomic analysis un…
Collaborators(10)
David HuntsmanDawn R. CochraneJutta HuvilaRodrigo VallejosBranden J. LynchKrystal Ann OrlandoMichael AnglesioYemin WangAmal M EL‐NaggarAmy Jamieson
Institutions(5)
Canadas Michael Smith…University Of British…University of TurkuBc Research CanadaNIEHS

Papers

Cystathionine gamma‐lyase‐mediated hypoxia inducible factor 1‐alpha expression drives clear cell ovarian cancer progression

AbstractClear cell ovarian cancer (CCOC) is the second most common ovarian cancer subtype, accounting for 5%–11% of ovarian cancers in North America. Late‐stage CCOC is associated with a worse prognosis compared to other ovarian cancer histotypes, a challenge that has seen limited progress in recent decades. CCOC typically originates within the toxic microenvironment of endometriotic ovarian cysts and is characterized by its intrinsic chemoresistance, a strong hypoxic signature, and abundant expression of cystathionine gamma‐lyase (CTH). CTH is a key enzyme in the transsulfuration pathway and serves as a marker of ciliated cells derived from the Müllerian tract. CTH plays a pivotal role in de novo cysteine synthesis, which is essential for glutathione (GSH) production and redox homeostasis. Using an array of molecular tools and cancer models, including in vivo studies, we demonstrated that CTH expression was induced under various stress conditions, such as exposure to endometriotic cyst content and hypoxia. This induction enables cell survival and creates a differentiation state manifested by CCOC that potentiates tumor progression and metastasis. In addition to regulating redox homeostasis, CTH enhances hypoxia inducible factor 1‐alpha (HIF1α) expression, independently of hydrogen sulfide (H2S) production. Re‐expression of HIF1α in CTH KO cells fully restored metastatic capacity in in vivo models. Co‐expression of CTH and HIF1α proteins was also observed in human CCOC samples. Importantly, targeting CTH in CCOC significantly reduced its metastatic potential in in vivo models and enhanced sensitivity to chemotherapy. These findings underscore that CTH is both a defining feature of CCOC and a promising therapeutic target, not only for CCOC patients but also for those with other CTH‐expressing cancers. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Changes in the tumour microenvironment mark the transition from serous borderline tumour to low‐grade serous carcinoma

AbstractLow‐grade serous ovarian carcinoma (LGSC) is a rare and lethal subtype of ovarian cancer. LGSC is pathologically, biologically, and clinically distinct from the more common high‐grade serous ovarian carcinoma (HGSC). LGSC arises from serous borderline ovarian tumours (SBTs). The mechanism of transformation for SBTs to LGSC remains poorly understood. To better understand the biology of LGSC, we performed whole proteome profiling of formalin‐fixed, paraffin‐embedded tissue blocks of LGSC (n = 11), HGSC (n = 19), and SBTs (n = 26). We identified that the whole proteome is able to distinguish between histotypes of the ovarian epithelial tumours. Proteins associated with the tumour microenvironment were differentially expressed between LGSC and SBTs. Fibroblast activation protein (FAP), a protein expressed in cancer‐associated fibroblasts, is the most differentially abundant protein in LGSC compared with SBT. Multiplex immunohistochemistry (IHC) for immune markers (CD20, CD79a, CD3, CD8, and CD68) was performed to determine the presence of B cells, T cells, and macrophages. The LGSC FAP+ stroma was associated with greater abundance of Tregs and M2 macrophages, features not present in SBTs. Our proteomics cohort reveals that there are changes in the tumour microenvironment in LGSC compared with its putative precursor lesion, SBT. These changes suggest that the tumour microenvironment provides a supportive environment for LGSC tumourigenesis and progression. Thus, targeting the tumour microenvironment of LGSC may be a viable therapeutic strategy. © 2024 The Pathological Society of Great Britain and Ireland.

Proteomic analysis uncovers biological diversity in molecularly defined endometrial carcinomas

While endometrial cancer has an overall favorable prognosis, some patients have poor outcomes and may benefit from further refinements of the current classification systems. Molecular classification stratifies endometrial cancer patients into four prognostic subtypes: POLEmut, MMRd (mismatch repair deficient), p53abn, and NSMP (no specific molecular profile), where patients with POLEmut have the best prognosis and p53abn has the worst prognosis. We used proteomic profiling to assess if additional prognostic or predictive information could be identified across or within molecular subtypes. Global proteome profiling of formalin fixed, paraffin embedded samples, that had clinicopathologic and outcome data, was performed on 184 endometrial cancers encompassing all four molecular subtypes, including replicate samples of the same tumor, and both biopsy and final hysterectomy specimens. To ensure representation of each subtype, we profiled an approximately equal distribution in the 148 unique tumors; 34 (23%) POLEmut, 40 (27%) MMRd, 35 (24%) p53abn and 39 (26%) NSMP, rather than the population-based distributions. There was high reproducibility in the proteomic profiles of intra-tumor replicate samples, and between matched biopsy and hysterectomy tumor samples. Consensus clustering identified four clusters with different prognosis, named 'Adhesion', 'Immune', 'Proliferation', and 'Metabolic' based on the functional characteristics of the enriched proteins. We associated protein expression features with common mutations, molecular subtype, and outcomes. These results demonstrate the biologic diversity within endometrial cancers, both between and within molecular subtypes, and provide candidate features for functional and clinical investigation.

145Works
5Papers
21Collaborators