Cargando…

Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer

BACKGROUND: Although neoadjuvant anti-PD-1 immunotherapies have shown good efficacy in non-small cell lung cancer (NSCLC) patients, there is still a lack of effective predictive markers. We aimed to develop a pretreatment histologic scoring system to predict the efficacy of neoadjuvant immunotherapy...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Pei, Guo, Changyuan, Li, Lin, Ling, Yun, Guo, Lei, Ying, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594940/
https://www.ncbi.nlm.nih.gov/pubmed/36280845
http://dx.doi.org/10.1186/s12916-022-02609-5
_version_ 1784815543540252672
author Yuan, Pei
Guo, Changyuan
Li, Lin
Ling, Yun
Guo, Lei
Ying, Jianming
author_facet Yuan, Pei
Guo, Changyuan
Li, Lin
Ling, Yun
Guo, Lei
Ying, Jianming
author_sort Yuan, Pei
collection PubMed
description BACKGROUND: Although neoadjuvant anti-PD-1 immunotherapies have shown good efficacy in non-small cell lung cancer (NSCLC) patients, there is still a lack of effective predictive markers. We aimed to develop a pretreatment histologic scoring system to predict the efficacy of neoadjuvant immunotherapy. METHODS: One hundred forty NSCLC cases were evaluated in this study. Initially, surgical specimens from 31 squamous cell lung cancer patients treated with neoadjuvant anti-PD-1 therapy and their eligible paired pretreatment biopsies were used for pathologic evaluation and developing the pretreatment scoring system, immune-related histologic phenotype assessment criteria (irHPC). Three trained pathologists independently scored the haematoxylin-eosin (HE) slides of the pretreatment tumour biopsies according to irHPC. The follow-up was from 07 March 2018 to 31 December 2021, mainly focusing on disease-free survival (DFS) and overall survival (OS). Second, 109 biopsies of lung squamous cell carcinoma were evaluated to explore the relationship between eosinophils and PD-L1 expression. RESULTS: Superior 2-year DFS rates and 2-year OS rates were observed in patients who achieved major pathologic response (MPR) (MPR vs. non-MPR: 92.9% vs. 78.6%; 100.0% vs. 93.3%). Whether necrosis was included in the calculation of the per cent of residual viable tumour (%RVT) or not had almost no effect on the consistency of pathologic assessment and the histological response grouping. The interpathologist variability in assessing %RVT with immune-activated phenotype was not statistically significant (P = 0.480). Four immune-related features of pretreatment biopsies were included for calculating the predictive score. The trained pathologist accurately predicted most cases according to irHPC. For interobserver reproducibility using “2 points” as the cutoff, the overall per cent agreement was 77.8%. The reliability between pathologists for a binary tumour evaluation showed “moderate” agreement (κ = 0.54). Patients with scores ≥ 2 points tended to have better 2-year DFS rates and 2-year OS rates than those with scores < 2 points (85.7% vs. 71.4%; 100.0% vs. 87.5%). CONCLUSIONS: The irHPC scoring system reflecting the preexisting immune response could be used to predict pathologic response to neoadjuvant immunotherapy, possibly further predicting the long-term prognosis, but larger trials are needed for verification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02609-5.
format Online
Article
Text
id pubmed-9594940
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-95949402022-10-26 Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer Yuan, Pei Guo, Changyuan Li, Lin Ling, Yun Guo, Lei Ying, Jianming BMC Med Research Article BACKGROUND: Although neoadjuvant anti-PD-1 immunotherapies have shown good efficacy in non-small cell lung cancer (NSCLC) patients, there is still a lack of effective predictive markers. We aimed to develop a pretreatment histologic scoring system to predict the efficacy of neoadjuvant immunotherapy. METHODS: One hundred forty NSCLC cases were evaluated in this study. Initially, surgical specimens from 31 squamous cell lung cancer patients treated with neoadjuvant anti-PD-1 therapy and their eligible paired pretreatment biopsies were used for pathologic evaluation and developing the pretreatment scoring system, immune-related histologic phenotype assessment criteria (irHPC). Three trained pathologists independently scored the haematoxylin-eosin (HE) slides of the pretreatment tumour biopsies according to irHPC. The follow-up was from 07 March 2018 to 31 December 2021, mainly focusing on disease-free survival (DFS) and overall survival (OS). Second, 109 biopsies of lung squamous cell carcinoma were evaluated to explore the relationship between eosinophils and PD-L1 expression. RESULTS: Superior 2-year DFS rates and 2-year OS rates were observed in patients who achieved major pathologic response (MPR) (MPR vs. non-MPR: 92.9% vs. 78.6%; 100.0% vs. 93.3%). Whether necrosis was included in the calculation of the per cent of residual viable tumour (%RVT) or not had almost no effect on the consistency of pathologic assessment and the histological response grouping. The interpathologist variability in assessing %RVT with immune-activated phenotype was not statistically significant (P = 0.480). Four immune-related features of pretreatment biopsies were included for calculating the predictive score. The trained pathologist accurately predicted most cases according to irHPC. For interobserver reproducibility using “2 points” as the cutoff, the overall per cent agreement was 77.8%. The reliability between pathologists for a binary tumour evaluation showed “moderate” agreement (κ = 0.54). Patients with scores ≥ 2 points tended to have better 2-year DFS rates and 2-year OS rates than those with scores < 2 points (85.7% vs. 71.4%; 100.0% vs. 87.5%). CONCLUSIONS: The irHPC scoring system reflecting the preexisting immune response could be used to predict pathologic response to neoadjuvant immunotherapy, possibly further predicting the long-term prognosis, but larger trials are needed for verification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02609-5. BioMed Central 2022-10-24 /pmc/articles/PMC9594940/ /pubmed/36280845 http://dx.doi.org/10.1186/s12916-022-02609-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yuan, Pei
Guo, Changyuan
Li, Lin
Ling, Yun
Guo, Lei
Ying, Jianming
Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title_full Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title_fullStr Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title_full_unstemmed Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title_short Immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-PD-1 treatment in squamous lung cancer
title_sort immune-related histologic phenotype in pretreatment tumour biopsy predicts the efficacy of neoadjuvant anti-pd-1 treatment in squamous lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594940/
https://www.ncbi.nlm.nih.gov/pubmed/36280845
http://dx.doi.org/10.1186/s12916-022-02609-5
work_keys_str_mv AT yuanpei immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer
AT guochangyuan immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer
AT lilin immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer
AT lingyun immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer
AT guolei immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer
AT yingjianming immunerelatedhistologicphenotypeinpretreatmenttumourbiopsypredictstheefficacyofneoadjuvantantipd1treatmentinsquamouslungcancer