Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer

被引:121
作者
Jiang, Y. [1 ,2 ,3 ]
Wang, H. [3 ]
Wu, J. [3 ]
Chen, C. [4 ]
Yuan, Q. [4 ]
Huang, W. [1 ,2 ]
Li, T. [1 ,2 ]
Xi, S. [5 ]
Hu, Y. [1 ,2 ]
Zhou, Z. [6 ]
Xu, Y. [4 ]
Li, G. [1 ,2 ]
Li, R. [3 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Dept Gen Surg, 1838 North Guangzhou Ave, Guangzhou 510515, Peoples R China
[2] Guangdong Prov Key Lab Precis & Minimally Invas M, Guangzhou, Peoples R China
[3] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA USA
[4] Southern Med Univ, Nanfang Hosp, Dept Med Imaging Ctr, Guangzhou, Peoples R China
[5] Sun Yat Sen Univ, Affiliated Hosp 7, Guangzhou, Peoples R China
[6] Sun Yat Sen Univ, Canc Ctr, Dept Gastr Surg, Guangzhou, Peoples R China
关键词
chemotherapy response; CT image; gastric cancer; immune microenvironment; ImmunoScore; VALIDATION; RADIOMICS;
D O I
10.1016/j.annonc.2020.03.295
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The tumor immune microenvironment can provide prognostic and predictive information. A previously validated ImmunoScore of Gastric Cancer (ISGC) evaluates both lymphoid and myeloid cells in the tumor core and invasive margin with immunohistochemical staining of surgical specimens. We aimed to develop a noninvasive radiomics-based predictor of ISGC. Patients and methods: In this retrospective study including four independent cohorts of 1778 patients, we extracted 584 quantitative features from the intratumoral and peritumoral regions on contrast-enhanced computed tomography images. A radiomic signature [radiomics ImmunoScore (RIS)] was constructed to predict ISGC using regularized logistic regression. We further evaluated its association with prognosis and chemotherapy response. Results: A 13-feature radiomic signature for ISGC was developed and validated in three independent cohorts (area under the curve 0.786, 0.745, and 0.766). The RIS signature was significantly associated with both disease-free and overall survival in the training and all validation cohorts [hazard ratio (HR) range: 0.296-0.487, all P < 0.001]. In multivariable analysis, the RIS remained an independent prognostic factor adjusting for clinicopathologic variables (adjusted HR range: 0.339-0.605, all P < 0.003). For stage H and stage III disease, patients with a high RIS derived survival benefit from adjuvant chemotherapy {HR = 0.436 [95% confidence interval (CI) 0.253-0.753], P = 0.002; HR = 0.591 (95% CI 0.428-0.818), P < 0.001, respectively), whereas those with a low RIS did not. Conclusion: The RIS is a reliable tool for evaluation of immunoscore and retains the prognostic significance in gastric cancer. Future prospective studies are required to confirm its potential to predict treatment response and select patients who will benefit from chemotherapy.
引用
收藏
页码:760 / 768
页数:9
相关论文
共 25 条
[1]   Understanding the tumor immune microenvironment (TIME) for effective therapy [J].
Binnewies, Mikhail ;
Roberts, Edward W. ;
Kersten, Kelly ;
Chan, Vincent ;
Fearon, Douglas F. ;
Merad, Miriam ;
Coussens, Lisa M. ;
Gabrilovich, Dmitry I. ;
Ostrand-Rosenberg, Suzanne ;
Hedrick, Catherine C. ;
Vonderheide, Robert H. ;
Pittet, Mikael J. ;
Jain, Rakesh K. ;
Zou, Weiping ;
Howcroft, T. Kevin ;
Woodhouse, Elisa C. ;
Weinberg, Robert A. ;
Krummel, Matthew F. .
NATURE MEDICINE, 2018, 24 (05) :541-550
[2]   Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer [J].
Braman, Nathaniel ;
Prasanna, Prateek ;
Whitney, Jon ;
Singh, Salendra ;
Beig, Niha ;
Etesami, Maryam ;
Bates, David D. B. ;
Gallagher, Katherine ;
Bloch, B. Nicolas ;
Vulchi, Manasa ;
Turk, Paulette ;
Bera, Kaustav ;
Abraham, Jame ;
Sikov, William M. ;
Somlo, George ;
Harris, Lyndsay N. ;
Gilmore, Hannah ;
Plecha, Donna ;
Varadan, Vinay ;
Madabhushi, Anant .
JAMA NETWORK OPEN, 2019, 2 (04)
[3]   Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI [J].
Braman, Nathaniel M. ;
Etesami, Maryam ;
Prasanna, Prateek ;
Dubchuk, Christina ;
Gilmore, Hannah ;
Tiwari, Pallavi ;
Pletcha, Donna ;
Madabhushi, Anant .
BREAST CANCER RESEARCH, 2017, 19
[4]   Predictive test for chemotherapy response in resectable gastric cancer: a multi-cohort, retrospective analysis [J].
Cheong, Jae-Ho ;
Yang, Han-Kwang ;
Kim, Hyunki ;
Kim, Woo Ho ;
Kim, Young-Woo ;
Kook, Myeong-Cherl ;
Park, Young-Kyu ;
Kim, Hyung-Ho ;
Lee, Hye Seung ;
Lee, Kyung Hee ;
Gu, Mi Jin ;
Kim, Ha Yan ;
Lee, Jinae ;
Choi, Seung Ho ;
Hong, Soonwon ;
Kim, Jong Won ;
Choi, Yoon Young ;
Hyung, Woo Jin ;
Jang, Eunji ;
Kim, Hyeseon ;
Huh, Yong-Min ;
Noh, Sung Hoon .
LANCET ONCOLOGY, 2018, 19 (05) :629-638
[5]   Integrating Radiosensitivity and Immune Gene Signatures for Predicting Benefit of Radiotherapy in Breast Cancer [J].
Cui, Yi ;
Li, Bailiang ;
Pollom, Erqi L. ;
Horst, Kathleen C. ;
Li, Ruijiang .
CLINICAL CANCER RESEARCH, 2018, 24 (19) :4754-4762
[6]   The immune contexture in cancer prognosis and treatment [J].
Fridman, Wolf H. ;
Zitvogel, Laurence ;
Sautes-Fridman, Catherine ;
Kroemer, Guido .
NATURE REVIEWS CLINICAL ONCOLOGY, 2017, 14 (12) :717-734
[7]   The prognostic landscape of genes and infiltrating immune cells across human cancers [J].
Gentles, Andrew J. ;
Newman, Aaron M. ;
Liu, Chih Long ;
Bratman, Scott V. ;
Feng, Weiguo ;
Kim, Dongkyoon ;
Nair, Viswam S. ;
Xu, Yue ;
Khuong, Amanda ;
Hoang, Chuong D. ;
Diehn, Maximilian ;
West, Robert B. ;
Plevritis, Sylvia K. ;
Alizadeh, Ash A. .
NATURE MEDICINE, 2015, 21 (08) :938-945
[8]   Radiomics: Images Are More than Pictures, They Are Data [J].
Gillies, Robert J. ;
Kinahan, Paul E. ;
Hricak, Hedvig .
RADIOLOGY, 2016, 278 (02) :563-577
[9]   Advances in the treatment of gastric cancer [J].
Ilson, David H. .
CURRENT OPINION IN GASTROENTEROLOGY, 2018, 34 (06) :465-468
[10]   Validation of the 8th Edition of the AJCC TNM Staging System for Gastric Cancer using the National Cancer Database [J].
In, Haejin ;
Solsky, I. ;
Palis, B. ;
Langdon-Embry, M. ;
Ajani, J. ;
Sano, T. .
ANNALS OF SURGICAL ONCOLOGY, 2017, 24 (12) :3683-3691