Abstract 488P
Background
Clinical investigations have great interest in understanding how ground-glass opacities (GGO) evolve into solid nodular lung adenocarcinoma (LUAD). However, there exists a dearth of research on ecosystem-level dynamics. Comprehensive insights into this phenomenon hinge on patient biopsies, which, when coupled with advanced single cell studies, hold the potential to unravel the intricacies of GGO progression and its transition into solid nodular LUAD.
Methods
We implemented a machine-learning framework to analyze scRNA-seq and WGS data derived from 55 patients stratified based on radiological patterns. In combination with in situ multiplex IF and HLA-immunopeptidome, we analysed the immune-ecosystem associated neoantigen presentation, followed by validation with HLA-tetramer CD8 T cell assay. Based on these methods, we consequently refined early-stage LUAD classification.
Results
We defined six lung immune multicellular ecotypes (LIMEs), in which two cancer cell state-associated LIMEs were implicated in distinct radiological patterns. These early stage malignant cells, through presenting GGO-associated neoantigens, were recognized by CXCL13+ CD8 T cells that formed an anti-tumoral LIME with other stromal cells. Solid nodular specific LIMEs, containing CTHRC1+ CAFs, SPP1+ TAMs and BANK1+ B cells, through inter-ecotype interactions, drove CD8 T cell exhaustion, leading to tumour progression.
Conclusions
This work offers an ecosystem-level portrayal of early-stage LUAD. It furnishes a resource for delving into the pre-malignant transformation of lung epithelium and its associated microenvironment. It outlines both intrinsic and extrinsic mechanisms that underpin the emergence of GGO and subsolid patterns. It imparts biological rationales as to select patients with early-stage LUAD might benefit from perioperative adjuvant therapies.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
West China Hospital, Sichuan University, Chengdu, China.
Funding
National Science Fondation of China.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
5P - Clinicopathologic features and genomic profiling of occult breast cancer
Presenter: Liansha Tang
Session: Poster Display
Resources:
Abstract
6P - Tumor cell-released autophagosomes (TRAPs) promote lung metastasis through inducing PD-L1 high expression of pulmonary vascular endothelial cells (PVECs) in breast cancer
Presenter: Xuru Wang
Session: Poster Display
Resources:
Abstract
7P - Tumor cell-released autophagosomes (TRAPs) promote breast cancer lung metastasis by modulating neutrophil extracellular traps formation
Presenter: Xiaohe Zhou
Session: Poster Display
Resources:
Abstract
9P - Clinicopathological features and prognosis of mucinous breast cancer: A retrospective analysis of 358 patients in Vietnam
Presenter: Hoai Hoang
Session: Poster Display
Resources:
Abstract
10P - Comparison of 28-gene and 70-gene panel in risk-prediction of Chinese women with early-stage HR-positive and HER2-negative breast cancer
Presenter: Lei Lei
Session: Poster Display
Resources:
Abstract
11P - Multimodal analysis of methylation and fragmentomic profiles in plasma cell-free DNA for differentiation of benign and malignant breast tumors
Presenter: Hanh Nguyen
Session: Poster Display
Resources:
Abstract
12P - Plasma cell-free mRNA profiles enable early detection of breast cancer
Presenter: Chi Nguyen
Session: Poster Display
Resources:
Abstract
13P - Relationship of distress and quality of life with gut microbiome composition in newly diagnosed breast cancer patients: A prospective, observational study
Presenter: Chi-Chan Lee
Session: Poster Display
Resources:
Abstract
14P - Classification of molecular subtypes of breast cancer in whole-slide histopathological images using a novel deep learning algorithm
Presenter: Hyung Suk Kim
Session: Poster Display
Resources:
Abstract
15P - The regulation of pregnenolone in breast cancer
Presenter: Hyeon-Gu Kang
Session: Poster Display
Resources:
Abstract