Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients

Lida Qiu; Deyong Kang; Chuan Wang; Wenhui Guo; Fangmeng Fu; Qingxiang Wu; Gangqin Xi; Jiajia He; Liqin Zheng; Qingyuan Zhang; Xiaoxia Liao; Lianhuang Li; Jianxin Chen; Haohua Tu

Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients

Lida Qiu, Deyong Kang, Chuan Wang, Wenhui Guo, Fangmeng Fu, Qingxiang Wu, Gangqin Xi, Jiajia He, Liqin Zheng, Qingyuan Zhang, Xiaoxia Liao, Lianhuang Li, Jianxin Chen, Haohua Tu

National Center for Supercomputing Applications (NCSA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We perform cancer prognosis based on 8 collagen signatures obtained by sampling a histological section with multiphoton microscopy. The model with intratumor graph neural network (IGNN) significantly outperforms that without IGNN for breast cancer patients.

Original language	English (US)
Title of host publication	Microscopy Histopathology and Analytics, Microscopy 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2022
Event	Microscopy Histopathology and Analytics, Microscopy 2022 - Fort Lauderdale, United States Duration: Apr 24 2022 → Apr 27 2022

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Microscopy Histopathology and Analytics, Microscopy 2022
Country/Territory	United States
City	Fort Lauderdale
Period	4/24/22 → 4/27/22

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Library availability

Discover UIUC Full Text

Cite this

Qiu, L., Kang, D., Wang, C., Guo, W., Fu, F., Wu, Q., Xi, G., He, J., Zheng, L., Zhang, Q., Liao, X., Li, L., Chen, J., & Tu, H. (2022). Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients. In Microscopy Histopathology and Analytics, Microscopy 2022 [MS4A.1] (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA).

Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients. / Qiu, Lida; Kang, Deyong; Wang, Chuan et al.

Microscopy Histopathology and Analytics, Microscopy 2022. Optica Publishing Group (formerly OSA), 2022. MS4A.1 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qiu, L, Kang, D, Wang, C, Guo, W, Fu, F, Wu, Q, Xi, G, He, J, Zheng, L, Zhang, Q, Liao, X, Li, L, Chen, J & Tu, H 2022, Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients. in Microscopy Histopathology and Analytics, Microscopy 2022., MS4A.1, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Microscopy Histopathology and Analytics, Microscopy 2022, Fort Lauderdale, United States, 4/24/22.

@inproceedings{0a8905e59827442d826d7889d7e66b80,

title = "Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients",

abstract = "We perform cancer prognosis based on 8 collagen signatures obtained by sampling a histological section with multiphoton microscopy. The model with intratumor graph neural network (IGNN) significantly outperforms that without IGNN for breast cancer patients.",

author = "Lida Qiu and Deyong Kang and Chuan Wang and Wenhui Guo and Fangmeng Fu and Qingxiang Wu and Gangqin Xi and Jiajia He and Liqin Zheng and Qingyuan Zhang and Xiaoxia Liao and Lianhuang Li and Jianxin Chen and Haohua Tu",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).; Microscopy Histopathology and Analytics, Microscopy 2022 ; Conference date: 24-04-2022 Through 27-04-2022",

year = "2022",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Microscopy Histopathology and Analytics, Microscopy 2022",

}

TY - GEN

T1 - Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients

AU - Qiu, Lida

AU - Kang, Deyong

AU - Wang, Chuan

AU - Guo, Wenhui

AU - Fu, Fangmeng

AU - Wu, Qingxiang

AU - Xi, Gangqin

AU - He, Jiajia

AU - Zheng, Liqin

AU - Zhang, Qingyuan

AU - Liao, Xiaoxia

AU - Li, Lianhuang

AU - Chen, Jianxin

AU - Tu, Haohua

PY - 2022

Y1 - 2022

N2 - We perform cancer prognosis based on 8 collagen signatures obtained by sampling a histological section with multiphoton microscopy. The model with intratumor graph neural network (IGNN) significantly outperforms that without IGNN for breast cancer patients.

AB - We perform cancer prognosis based on 8 collagen signatures obtained by sampling a histological section with multiphoton microscopy. The model with intratumor graph neural network (IGNN) significantly outperforms that without IGNN for breast cancer patients.

UR - http://www.scopus.com/inward/record.url?scp=85136361347&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85136361347&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136361347

T3 - Optics InfoBase Conference Papers

BT - Microscopy Histopathology and Analytics, Microscopy 2022

PB - Optica Publishing Group (formerly OSA)

T2 - Microscopy Histopathology and Analytics, Microscopy 2022

Y2 - 24 April 2022 through 27 April 2022

ER -

Intratumor Graph Neural Network of Tumor-Associated Collagen Signatures from Multiphoton Microscopy Empowers Prognosis of 995 Breast Cancer Patients

Abstract

Publication series

Conference

ASJC Scopus subject areas

Library availability

Related links

Fingerprint

Cite this