干旱区生态环境知识资源中心(Arid): Integrated CT imaging and tissue immune features disclose a radio-immune signature with high prognostic impact on surgically resected NSCLC

Arid

DOI	10.1016/j.lungcan.2020.04.006
	Integrated CT imaging and tissue immune features disclose a radio-immune signature with high prognostic impact on surgically resected NSCLC
	Mazzaschi, Giulia 1; Milanese, Gianluca 2; Pagano, Paolo 2; Madeddu, Denise 3; Gnetti, Letizia 3; Trentini, Francesca 1; Falco, Angela 3; Frati, Caterina 3; Lorusso, Bruno 3; Lagrasta, Costanza 3; Minari, Roberta 1; Ampollini, Luca 4; Silva, Mario 2; Sverzellati, Nicola 2; Quaini, Federico 5; Roti, Giovanni 5; Tiseo, Marcello 1
通讯作者	Quaini, Federico
来源期刊	LUNG CANCER
ISSN	0169-5002
EISSN	1872-8332
出版年	2020
卷号	144 页码:30-39
英文摘要	Objectives: Qualitative and quantitative CT imaging features might intercept the multifaceted tumor immune microenvironment (TIME), providing a non-invasive approach to design new prognostic models in NSCLC patients. Materials and methods: Our study population consisted of 100 surgically resected NSCLC patients among which 31 served as a validation cohort for quantitative image analysis. TIME was classified according to PD-L1 expression and the magnitude of Tumor Infiltrating Lymphocytes (TILs) and further defined as hot or cold by the tissue analysis of effector (CD8-to-CD3(high)/PD-1-to-CD8(low)) or inert (CD8-to-CD3(low)/PD-1-to-CD8(high)) phenotypes. CT datasets acted as source for qualitative (semantic, CT-SFs) and quantitative (radiomic, CT-RFs) features which were correlated with clinico-pathological and TIME profiles to determine their impact on survival outcome. Results: Specific CT-SFs (texture [TXT], effect [EFC] and margins [MRG]) strongly correlated to PD-L1 and TILs status and showed significant impact on survival outcome (TXT, HR:3.39, 95 % CI 1.12-10-27, P < 0.05; EFC, HR:0.41, 95 % CI 0.18-0.93, P < 0.05; MRG, HR:1.93, 95 % CI 0.88-4.25, P = 0.09). Seven CT derived radiomic features were able to sharply discriminate cases with hot (inflamed) vs cold (desert) TIME, which also exhibited opposite OS (long vs short, HR:0.09, 95 % CI 0.04-0.23, P < 0.001) and DFS (long vs short, HR:0.31, 95 % CI 0.16-0.58, P < 0.001). Moreover, we identified 6 prognostic radiomic features among which ClusterProminence displayed the highest statistical significance (HR:0.13, 95 % CI 0.06-0.31, P < 0.001). These findings were independently validated in an additional cohort of NSCLC (HR:0.11, 95 % CI 0.03-0.40, P = 0.001). Finally, in our training cohort we developed a multiparametric prognostic model, interlacing TIME and clinico-pathological characteristics with CT-SFs (ROC curve AUC:0.83, 95 % CI 0.71-0.92, P < 0.001) or CT-RFs (AUC: 0.91, 95 % CI 0.83-0.99, P < 0.001), which appeared to outperform pTNM staging (AUC: 0.66, 95 % CI 0.51-0.80, P < 0.05) in the risk assessment of NSCLC. Conclusion: Higher order CT extracted features associated with specific TIME profiles may reveal a radio-immune signature with prognostic impact on resected NSCLC.
英文关键词	Lung cancer CT imaging Immune contexture Radiomics Prognostic signature
类型	Article
语种	英语
国家	Italy
收录类别	SCI-E
WOS记录号	WOS:000533617200004
WOS关键词	TUMOR-INFILTRATING LYMPHOCYTES ; CELL LUNG-CANCER ; STAGE I ; RADIOGENOMICS ; MANAGEMENT ; NODULES
WOS类目	Oncology ; Respiratory System
WOS研究方向	Oncology ; Respiratory System
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319216
作者单位	1.Univ Parma, Univ Hosp Parma, Med Oncol Unit, Dept Med & Surg, Via Gramsci 14, I-43126 Parma, Italy; 2.Univ Parma, Univ Hosp Parma, Inst Radiol Sci, Dept Med & Surg, Via Gramsci 14, I-43126 Parma, Italy; 3.Univ Parma, Univ Hosp Parma, Pathol Unit, Dept Med & Surg, Via Gramsci 14, I-43126 Parma, Italy; 4.Univ Parma, Univ Hosp Parma, Thorac Surg, Dept Med & Surg, Via Gramsci 14, I-43126 Parma, Italy; 5.Univ Hosp Parma, Dept Med & Surg Hematol & Bone Marrow Transplanta, Via Gramsci 14, I-43126 Parma, Italy
推荐引用方式 GB/T 7714	Mazzaschi, Giulia,Milanese, Gianluca,Pagano, Paolo,et al. Integrated CT imaging and tissue immune features disclose a radio-immune signature with high prognostic impact on surgically resected NSCLC[J],2020,144:30-39.
APA	Mazzaschi, Giulia.,Milanese, Gianluca.,Pagano, Paolo.,Madeddu, Denise.,Gnetti, Letizia.,...&Tiseo, Marcello.(2020).Integrated CT imaging and tissue immune features disclose a radio-immune signature with high prognostic impact on surgically resected NSCLC.LUNG CANCER,144,30-39.
MLA	Mazzaschi, Giulia,et al."Integrated CT imaging and tissue immune features disclose a radio-immune signature with high prognostic impact on surgically resected NSCLC".LUNG CANCER 144(2020):30-39.