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Updated: Mar 2, 2026

Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens
Published on: January 21, 2019
Composite biomarkers defined by multiparametric immunofluorescence analysis identify ALK-positive adenocarcinoma as a
Hélène Roussel1,2,3, Eléonore De Guillebon1,3,4, Lucie Biard5
1INSERM U970, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
Abstract:
Anaplastic lymphoma kinase (ALK) inhibitors have been successfully developed for non-small cell lung carcinoma (NSCLC) displaying chromosomal rearrangements of the ALK gene, but unfortunately resistance invariably occurs. Blockade of the PD-1-PD-L1/2 inhibitory pathway constitutes a breakthrough for the treatment of NSCLC. Some predictive biomarkers of clinical response to this therapy are starting to emerge, such as PD-L1 expression by tumor/stromal cells and infiltration by CD8+ T cells expressing PD-1. To more effectively integrate all of these potential biomarkers of clinical response to immunotherapy, we have developed a multiparametric immunofluorescence technique with automated immune cell counting to comprehensively analyze the tumor microenvironment of ALK-positive adenocarcinoma (ADC). When analyzed as either a continuous or a dichotomous variable, the mean number of tumor cells expressing PD-L1 (p = 0.012) and the percentage of tumor cells expressing PD-L1 were higher in ALK-positive ADC than in EGFR-mutated ADC or WT (non-EGFR-mutated and non-KRAS-mutated) NSCLC. A very strong correlation between PD-L1 expression on tumor cells and intratumoral infiltration by CD8+ T cells was observed, suggesting that an adaptive mechanism may partly regulate this expression. A higher frequency of tumors combining positive PD-L1 expression and infiltration by intratumoral CD8+ T cells or PD-1+CD8+ T cells was also observed in ALK-positive lung cancer patients compared with EGFR-mutated (p = 0.03) or WT patients (p = 0.012). These results strongly suggest that a subgroup of ALK-positive lung cancer patients may constitute good candidates for anti-PD-1/-PD-L1 therapies.
Insights
Anaplastic lymphoma kinase (ALK)-positive lung cancer patients with high PD-L1 expression and CD8+ T cell infiltration may respond well to anti-PD-1/-PD-L1 immunotherapy. This finding offers new insights into predicting treatment efficacy for non-small cell lung carcinoma (NSCLC).
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Anaplastic lymphoma kinase (ALK) inhibitors are effective for ALK-rearranged non-small cell lung carcinoma (NSCLC), but resistance is common.
- Immune checkpoint inhibitors targeting the PD-1/PD-L1 pathway show promise in NSCLC treatment.
- Biomarkers like PD-L1 expression and CD8+ T cell infiltration are emerging for predicting immunotherapy response.
Purpose of the Study:
- To comprehensively analyze the tumor microenvironment in ALK-positive NSCLC.
- To investigate the correlation between PD-L1 expression, CD8+ T cell infiltration, and ALK status.
- To identify potential predictive biomarkers for immunotherapy response in ALK-positive NSCLC.
Main Methods:
- Development of a multiparametric immunofluorescence technique.
- Automated immune cell counting for comprehensive tumor microenvironment analysis.
- Comparison of PD-L1 expression and immune cell infiltration in ALK-positive, EGFR-mutated, and wild-type NSCLC.
Main Results:
- ALK-positive adenocarcinoma (ADC) showed higher PD-L1 expression on tumor cells compared to EGFR-mutated or wild-type NSCLC.
- A strong correlation was observed between tumor cell PD-L1 expression and intratumoral CD8+ T cell infiltration.
- ALK-positive lung cancer patients exhibited a higher frequency of tumors with combined PD-L1 expression and CD8+ T cell or PD-1+CD8+ T cell infiltration.
Conclusions:
- A subgroup of ALK-positive NSCLC patients may be suitable candidates for anti-PD-1/-PD-L1 therapies.
- PD-L1 expression and CD8+ T cell infiltration are significant biomarkers in ALK-positive lung cancer.
- These findings support the integration of multiparametric analysis for personalized immunotherapy strategies.

