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2022 World Conference on Lung Cancer (ePosters)
EP02.01-011. Immune-related Histologic Phenotype i ...
EP02.01-011. Immune-related Histologic Phenotype in Pretreatment Tumor Biopsy Predicts Efficacy of Neoadjuvant Anti-PD-1 Treatment in Squamous Lung Cancer
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A study conducted by the Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College in Beijing aimed to develop a histologic scoring system to predict the efficacy of neoadjuvant immunotherapy in squamous lung cancer patients. They evaluated 140 non-small cell lung cancer cases, initially using surgical specimens from 31 squamous cell lung cancer patients who received neoadjuvant anti-PD-1 therapy. The pathologic evaluation of pretreatment biopsies after neoadjuvant immunotherapy was used to develop the scoring system, known as immune-related histologic phenotype assessment criteria (irHPC). The irHPC scoring system included features such as tumor infiltrating lymphocytes (TILs), eosinophils, neutrophils, macrophages, and various histological characteristics. <br /><br />The study found that patients who achieved a major pathologic response (MPR) had superior 2-year disease-free survival (DFS) rates compared to those who did not achieve MPR. The inclusion of necrosis in the calculation of the percent of residual viable tumor (%RVT) did not significantly affect the consistency of the pathologic assessment. The inter-pathologist variability for assessing %RVT with an immune-activated phenotype was not statistically significant. <br /><br />The irHPC scoring system accurately predicted the pathologic response in most cases, and patients with higher scores tended to have better 2-year DFS rates. However, larger trials are needed to further verify the predictive capability of the scoring system. Additionally, the study explored the relationship between eosinophils and PD-L1 expression in lung squamous cell carcinoma biopsies.<br /><br />In conclusion, the study suggests that the irHPC scoring system, which assesses the preexisting immune response, can be used to predict the pathologic response to neoadjuvant immunotherapy in squamous lung cancer patients. This information may help predict long-term prognosis, but further validation is needed.
Asset Subtitle
Pei Yuan
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Speaker
Pei Yuan
Topic
Early Stage Non-small Cell Lung Cancer - Biomarkers
Keywords
Cancer Hospital Chinese Academy of Medical Sciences
Peking Union Medical College
histologic scoring system
neoadjuvant immunotherapy
squamous lung cancer
non-small cell lung cancer
immune-related histologic phenotype assessment criteria
tumor infiltrating lymphocytes
eosinophils
pathologic response
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