Abstract 194P
Background
In cases of persistent inflammation, the migration of immune cells follow the organogenesis of secondary lymphoid organs (SLO) within the organs, leading to the formation of tertiary lymphoid structures (TLS). These structures have become important as diagnostic and prognostic markers in chronic diseases and cancers. However, there is ongoing debate regarding how to assess the maturation of TLS in tissue samples, both in terms of determining the stages themselves and achieving agreement among pathologists. Based on the composition and organization of TLS revealed through imaging mass cytometry (IMC), we aimed to propose a reproducible classification system consisting of three maturation stages for TLS, which can be applied in pathology practice.
Methods
We used formalin-fixed and paraffin-embedded gastric samples (45 tissues with 134 TLS) and colonic samples (50 tissues with 159 TLS), representing inflammatory, cancerous, and control conditions. These samples were subjected to IMC analysis using a panel of 39 markers. Additionally, we sought correlations between markers that reflect the maturation of TLS (composition and architecture). The two IMC-markers with the strongest correlation with TLS maturation were selected to transfer the TLS maturation staging from IMC to dual-staining immunohistochemistry (IHC). This transfer was done to investigate the level of agreement among pathologists when classifying TLS using a set of 60 tissue IHC images.
Results
Using IMC, we were able to characterize the maturation of TLS and propose three distinct stages: Early TLS, Primary Follicle-Like TLS, and Secondary Follicle-Like TLS, identified as IHC CD21-CD23-, CD21+CD23-, and CD21+CD23+, respectively. The analysis of the 60 dual CD21-CD23 IHC images by three pathologists showed a high level of inter-pathologist agreement in classifying TLS into the three maturation stages (Cohen’s Kappa values: > 0.8).
Conclusions
With a strong correlation to cellular and architectural changes during TLS maturation, the dual CD21-CD23 IHC marker allows for the staging of TLS in tissue samples with a high level of inter-pathologist agreement, which holds potential for prognostic and predictive purposes.
Legal entity responsible for the study
M. Le Rochais.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
14P - Integrated modelling of T cell repertoires to identify clonotype signatures of ICI response
Presenter: Juan Luis Melero
Session: Poster Display
16P - Exosomal PD-L1 and lactate predict clinical outcomes of PD-1 blockade combined with chemotherapy in advanced-stage gastric and gastroesophageal junction adenocarcinoma
Presenter: Yongshun Chen
Session: Poster Display
17P - Spatial Characteristics Associated with the Chemo and Immuno-treatment Response of Gastric Cancer Revealed by Multi-omics Analysis
Presenter: Gang Che
Session: Poster Display
18P - Association of DNA methylation profiles with pathologic complete response in early triple negative breast cancer patients receiving neoadjuvant chemoimmunotherapy
Presenter: Angelika Starzer
Session: Poster Display
19P - The prognostic value of soluble CD73 in advanced triple-negative breast cancer: an exploratory analysis of the SYNERGY trial
Presenter: Denis Zoë
Session: Poster Display
21P - Mass cytometry reveals a population of exhausted CD8+ T cells associated with durvalumab/tremelimumab/vinorelbine efficacy in advanced cervical cancer (iMOVIE).
Presenter: Alexandre Bertucci
Session: Poster Display
22P - Predictive value of Tertiary Lymphoid Structure in patients with mismatch repair deficient advanced/ recurrent endometrial cancer treated with Dostarlimab.
Presenter: Maria Kfoury
Session: Poster Display
23P - Circulating immune cells and activity of immune checkpoint inhibitors in metastatic renal cell carcinoma
Presenter: Ronan Flippot
Session: Poster Display
24P - Chromosome 3p-related gene alterations (GA) as biomarkers for immunocombinations in metastatic renal cell carcinoma (mRCC): a hypothesis-generating analysis
Presenter: Matteo Rosellini
Session: Poster Display