| 1. |
- Mezheyeuski, Artur, et al.
(författare)
-
An immune score reflecting pro- and anti-tumoural balance of tumour microenvironment has major prognostic impact and predicts immunotherapy response in solid cancers
- 2023
-
Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 88
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Cancer immunity is based on the interaction of a multitude of cells in the spatial context of the tumour tissue. Clinically relevant immune signatures are therefore anticipated to fundamentally improve the accuracy in predicting disease progression.Methods: Through a multiplex in situ analysis we evaluated 15 immune cell classes in 1481 tumour samples. Single-cell and bulk RNAseq data sets were used for functional analysis and validation of prognostic and predictive associations.Findings: By combining the prognostic information of anti-tumoural CD8+ lymphocytes and tumour supportive CD68+CD163+ macrophages in colorectal cancer we generated a signature of immune activation (SIA). The prognostic impact of SIA was independent of conventional parameters and comparable with the state-of-art immune score. The SIA was also associated with patient survival in oesophageal adenocarcinoma, bladder cancer, lung adenocarcinoma and melanoma, but not in endometrial, ovarian and squamous cell lung carcinoma. We identified CD68+CD163+ macrophages as the major producers of complement C1q, which could serve as a surrogate marker of this macrophage subset. Consequently, the RNA-based version of SIA (ratio of CD8A to C1QA) was predictive for survival in independent RNAseq data sets from these six cancer types. Finally, the CD8A/C1QA mRNA ratio was also predictive for the response to checkpoint inhibitor therapy.Interpretation: Our findings extend current concepts to procure prognostic information from the tumour immune microenvironment and provide an immune activation signature with high clinical potential in common human cancer types.
|
|
| 2. |
- Mezheyeuski, Artur, et al.
(författare)
-
The ratio of CD8+ lymphocytes to CD68+CD163+ macrophages is prognostic in immunogenic tumors and predicts immunotherapy response
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Immune cells in the microenvironment shape tumor development and progression. Through in situ analyses we assessed 15 immune cell classes in 352 colorectal cancers and identified a simpleprognostic signature based on the ratio of anti-tumoral CD8+ lymphocytes to tumor-supportiveCD68+CD163+ macrophages in the tumor microenvironment. The prognostic ability of this signature was superior to the state-of-art immune score and was also demonstrated in four other tumor types. Single-cell analyses identified these CD68+CD163+ macrophages as the source of complement C1q, and the ratio of CD8A to C1QA gene expression levels in bulk RNA predicted survival in five tumor types. In single cell analyses, RNA-based versions of the signature also predicted response to checkpoint inhibitor therapy. This supports broad clinical applicability of immune scores considering CD68+CD163+ macrophages as prognostic and predictive biomarkers in common cancers.
|
|
| 3. |
- Micke, Patrick, et al.
(författare)
-
The prognostic impact of the tumour stroma fraction : A machine learning-based analysis in 16 human solid tumour types
- 2021
-
Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 65
-
Tidskriftsartikel (refereegranskat)abstract
- Background: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed.Methods: Using an objective machine-learning method we quantified the tumour stroma in 16 solid cancer types from 2732 patients, representing retrospective tissue collections of surgically resected primary tumours. Image analysis performed tissue segmentation into stromal and epithelial compartment based on pan-cytokeratin staining and autofluorescence patterns.Findings: The stroma fraction was highly variable within and across the tumour types, with kidney cancer showing the lowest and pancreato-biliary type periampullary cancer showing the highest stroma proportion (median 19% and 73% respectively). Adjusted Cox regression models revealed both positive (pancreato-biliary type periampullary cancer and oestrogen negative breast cancer, HR(95%CI)=0.56(0.34-0.92) and HR (95%CI)=0.41(0.17-0.98) respectively) and negative (intestinal type periampullary cancer, HR(95%CI)=3.59 (1.49-8.62)) associations of the tumour stroma fraction with survival.Interpretation: Our study provides an objective quantification of the tumour stroma fraction across major types of solid cancer. Findings strongly argue against the commonly promoted view of a general associations between high stroma abundance and poor prognosis. The results also suggest that full exploitation of the prognostic potential of tumour stroma requires analyses that go beyond determination of stroma abundance.
|
|
