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Generation and Expansion of Primary, Malignant Pleural Mesothelioma Tumor Lines
Published on: April 21, 2022
Prognostic Role of Tumor Immune Microenvironment in Pleural Epithelioid Mesothelioma
Hely Ollila1,2,3, Mikko I Mäyränpää4, Lassi Paavolainen1
1Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Background:
Pleural mesothelioma (MPM) is an aggressive malignancy with an average patient survival of only 10 months. Interestingly, about 5%-10% of the patients survive remarkably longer. Prior studies have suggested that the tumor immune microenvironment (TIME) has potential prognostic value in MPM. We hypothesized that high-resolution single-cell spatial profiling of the TIME would make it possible to identify subpopulations of patients with long survival and identify immunophenotypes for the development of novel treatment strategies.
Methods:
We used multiplexed fluorescence immunohistochemistry (mfIHC) and cell-based image analysis to define spatial TIME immunophenotypes in 69 patients with epithelioid MPM (20 patients surviving ≥ 36 months). Five mfIHC panels (altogether 21 antibodies) were used to classify tumor-associated stromal cells and different immune cell populations. Prognostic associations were evaluated using univariate and multivariable Cox regression, as well as combination risk models with area under receiver operating characteristic curve (AUROC) analyses.
Results:
We observed that type M2 pro-tumorigenic macrophages (CD163+pSTAT1-HLA-DRA1-) were independently associated with shorter survival, whereas granzyme B+ cells and CD11c+ cells were independently associated with longer survival. CD11c+ cells were the only immunophenotype increasing the AUROC (from 0.67 to 0.84) when added to clinical factors (age, gender, clinical stage, and grade).
Conclusion:
High-resolution, deep profiling of TIME in MPM defined subgroups associated with both poor (M2 macrophages) and favorable (granzyme B/CD11c positivity) patient survival. CD11c positivity stood out as the most potential prognostic cell subtype adding prediction power to the clinical factors. These findings help to understand the critical determinants of TIME for risk and therapeutic stratification purposes in MPM.
Insights
High-resolution spatial profiling of the tumor immune microenvironment (TIME) in malignant pleural mesothelioma (MPM) identified M2 macrophages as a poor prognostic marker. CD11c+ cells showed significant potential for predicting longer survival in MPM patients.
Area of Science:
- Oncology
- Immunology
- Pathology
Background:
- Malignant pleural mesothelioma (MPM) is an aggressive cancer with poor prognosis.
- A subset of patients exhibits longer survival, suggesting the tumor immune microenvironment (TIME) plays a role.
- Understanding TIME is crucial for identifying prognostic markers and developing new therapies.
Purpose of the Study:
- To investigate the prognostic value of TIME in MPM using high-resolution spatial profiling.
- To identify specific immune cell subpopulations associated with patient survival.
- To discover novel immunophenotypes for risk and therapeutic stratification.
Main Methods:
- Multiplexed fluorescence immunohistochemistry (mfIHC) and cell-based image analysis were applied to 69 epithelioid MPM patient samples.
- Five mfIHC panels, comprising 21 antibodies, were used to characterize TIME.
- Prognostic associations were assessed using Cox regression and AUROC analyses.
Main Results:
- Pro-tumorigenic M2 macrophages (CD163+pSTAT1-HLA-DRA1-) were linked to shorter survival.
- Granzyme B+ cells and CD11c+ cells were independently associated with longer survival.
- CD11c+ cells significantly improved the predictive power of clinical factors (AUROC increased from 0.67 to 0.84).
Conclusions:
- Deep profiling of TIME in MPM identified distinct subgroups linked to survival outcomes.
- M2 macrophages indicate poor prognosis, while granzyme B and CD11c positivity suggest favorable outcomes.
- CD11c+ cell positivity emerged as a key prognostic marker, enhancing prediction beyond clinical factors.
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