Unknown

Dataset Information

0

Profiling the immune landscape in mucinous ovarian carcinoma.


ABSTRACT:

Objective

Mucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients.

Methods

We performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 126 MOC patients. Cell densities were calculated in the epithelial and stromal components for tumor-associated macrophages (CD68+/PD-L1+, CD68+/PD-L1-), T cells (CD3+/CD8-, CD3+/CD8+), putative T-regulatory cells (Tregs, FOXP3+), B cells (CD20+/CD79A+), plasma cells (CD20-/CD79a+), and PD-L1+ and PD-1+ cells, and compared these values with clinical factors. Univariate and multivariable Cox Proportional Hazards assessed overall survival. Unsupervised k-means clustering identified patient subsets with common patterns of immune cell infiltration.

Results

Mean densities of PD1+ cells, PD-L1- macrophages, CD4+ and CD8+ T cells, and FOXP3+ Tregs were higher in the stroma compared to the epithelium. Tumors from advanced (Stage III/IV) MOC had greater epithelial infiltration of PD-L1- macrophages, and fewer PD-L1+ macrophages compared with Stage I/II cancers (p = 0.004 and p = 0.014 respectively). Patients with high epithelial density of FOXP3+ cells, CD8+/FOXP3+ cells, or PD-L1- macrophages, had poorer survival, and high epithelial CD79a + plasma cells conferred better survival, all upon univariate analysis only. Clustering showed that most MOC (86%) had an immune depleted (cold) phenotype, with only a small proportion (11/76,14%) considered immune inflamed (hot) based on T cell and PD-L1 infiltrates.

Conclusion

In summary, MOCs are mostly immunogenically 'cold', suggesting they may have limited response to current immunotherapies.

SUBMITTER: Meagher NS 

PROVIDER: S-EPMC10374276 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Profiling the immune landscape in mucinous ovarian carcinoma.

Meagher Nicola S NS   Hamilton Phineas P   Milne Katy K   Thornton Shelby S   Harris Bronwyn B   Weir Ashley A   Alsop Jennifer J   Bisinoto Christiani C   Brenton James D JD   Brooks-Wilson Angela A   Chiu Derek S DS   Cushing-Haugen Kara L KL   Fereday Sian S   Garsed Dale W DW   Gayther Simon A SA   Gentry-Maharaj Aleksandra A   Gilks Blake B   Jimenez-Linan Mercedes M   Kennedy Catherine J CJ   Le Nhu D ND   Piskorz Anna M AM   Riggan Marjorie J MJ   Shah Mitul M   Singh Naveena N   Talhouk Aline A   Widschwendter Martin M   Bowtell David D L DDL   Candido Dos Reis Francisco J FJ   Cook Linda S LS   Fortner Renée T RT   García María J MJ   Harris Holly R HR   Huntsman David G DG   Karnezis Anthony N AN   Köbel Martin M   Menon Usha U   Pharoah Paul D P PDP   Doherty Jennifer A JA   Anglesio Michael S MS   Pike Malcolm C MC   Pearce Celeste Leigh CL   Friedlander Michael L ML   DeFazio Anna A   Nelson Brad H BH   Ramus Susan J SJ  

Gynecologic oncology 20221108


<h4>Objective</h4>Mucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients.<h4>Methods</h4>We performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 12  ...[more]

Similar Datasets

| S-EPMC7056511 | biostudies-literature
| S-EPMC8616050 | biostudies-literature
| S-EPMC10186160 | biostudies-literature
| S-EPMC3852199 | biostudies-literature
| S-EPMC6718426 | biostudies-literature
| S-EPMC4520768 | biostudies-literature
| S-EPMC9508779 | biostudies-literature
| S-EPMC8899875 | biostudies-literature
| S-EPMC10468386 | biostudies-literature
| S-EPMC8139246 | biostudies-literature