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: Contribution to journal › Conference article › peer-review

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)
Article number	MS4A.1
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	Microscopy Histopathology and Analytics, Microscopy 2022 - Fort Lauderdale, United States Duration: Apr 24 2022 → Apr 27 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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@article{1a0c84a8b3394479a3b432c003ed4784,

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)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

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 - https://www.scopus.com/pages/publications/85136361347

UR - https://www.scopus.com/pages/publications/85136361347#tab=citedBy

M3 - Conference article

AN - SCOPUS:85136361347

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - MS4A.1

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

ASJC Scopus subject areas

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