Ten challenges and opportunities in computational immuno-oncology

被引：0

作者：

Bao, Riyue ^{[1
,2
]}

Hutson, Alan ^{[3
]}

Madabhushi, Anant ^{[4
,5
,6
]}

Jonsson, Vanessa D. ^{[7
,8
]}

Rosario, Spencer R. ^{[3
]}

Barnholtz-Sloan, Jill S. ^{[9
,10
]}

Fertig, Elana J. ^{[11
,12
,13
]}

Marathe, Himangi ^{[3
]}

Harris, Lyndsay ^{[14
]}

Altreuter, Jennifer ^{[15
]}

Chen, Qingrong ^{[16
]}

Dignam, James ^{[17
]}

Gentles, Andrew J. ^{[18
]}

Gonzalez-Kozlova, Edgar ^{[19
,20
,21
]}

Gnjatic, Sacha ^{[19
,20
,21
]}

Kim, Erika ^{[22
]}

Long, Mark ^{[3
]}

Morgan, Martin ^{[3
]}

Ruppin, Eytan ^{[23
]}

Valen, David Van ^{[24
,25
]}

Zhang, Hong ^{[3
]}

Vokes, Natalie ^{[26
,27
]}

Meerzaman, Daoud ^{[16
]}

Liu, Song ^{[3
]}

Van Allen, Eliezer M. ^{[28
,29
,30
,31
]}

Xing, Yi ^{[32
,33
,34
]}

机构：

[1] Univ Pittsburgh, UPMC Hillman Canc Ctr, Pittsburgh, PA 15232 USA

[2] Univ Pittsburgh, Dept Med, Pittsburgh, PA 15213 USA

[3] Roswell Pk Comprehens Canc Ctr, Dept Biostat & Bioinformat, Buffalo, NY 14263 USA

[4] Emory Univ, Atlanta, GA 30322 USA

[5] Georgia Inst Technol, Atlanta, GA 30332 USA

[6] Atlanta Vet Affairs Med Ctr, Atlanta, GA 30033 USA

[7] Univ Calif Santa Cruz, Dept Biomol Engn, Santa Cruz, CA USA

[8] Univ Calif Santa Cruz, Genom Inst, Santa Cruz, CA USA

[9] NCI, Div Canc Epidemiol & Genet, Bethesda, MD USA

[10] NCI, Ctr Biomed Informat & Informat Technol, Bethesda, MD USA

[11] Johns Hopkins Univ, Dept Oncol, Baltimore, MD USA

[12] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD USA

[13] Johns Hopkins Univ, Dept Appl Math & Stat, Baltimore, MD USA

[14] NCI, Canc Diag Program, Div Canc Treatment & Diag, Bethesda, MD USA

[15] Dana Farber Canc Inst, Boston, MA USA

[16] NCI, Ctr Biomed Informat & Informat Technol, Rockville, MD USA

[17] Univ Chicago, Dept Publ Hlth Sci, Biol Sci Div, Chicago, IL USA

[18] Stanford Univ, Dept Pathol, Stanford, CA USA

[19] Icahn Sch Med Mt Sinai, Precis Immunol Inst, New York, NY USA

[20] Icahn Sch Med Mt Sinai, Tisch Canc Inst, New York, NY USA

[21] Icahn Sch Med Mt Sinai, Dept Immunol, New York, NY USA

[22] NCI, Ctr Biomed Informat & Informat Technol, Informat & Data Sci Program, Bethesda, MD USA

[23] NCI, Canc Data Sci Lab, Bethesda, MD USA

[24] CALTECH, Div Comp & Math Sci, Pasadena, CA USA

[25] Howard Hughes Med Inst, Chevy Chase, MD USA

[26] Univ Texas MD Anderson Canc Ctr, Dept Thorac & Head & Neck Med Oncol, Houston, TX USA

[27] Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77054 USA

[28] Harvard Med Sch, Boston, MA 02115 USA

[29] Dana Farber Canc Inst, Div Populat Sci, Boston, MA 02215 USA

[30] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02215 USA

[31] Broad Inst MIT & Harvard, Canc Program, Cambridge, MA 19104 USA

[32] Childrens Hosp Philadelphia, Ctr Computat & Genom Med, Philadelphia, PA 19104 USA

[33] Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA

[34] Childrens Hosp Philadelphia, Dept Biomed & Hlth Informat, Philadelphia, PA 19146 USA

来源：

JOURNAL FOR IMMUNOTHERAPY OF CANCER | 2024年 / 12卷 / 10期

基金：

美国国家卫生研究院;

关键词：

Immunotherapy; Biomarker; Education; Immune related adverse event - irAE; Statistics; CELL ANTIGEN DISCOVERY; GENOMIC ANALYSIS; DATA COMMONS; IMMUNOTHERAPY; TUMOR; BIOINFORMATICS; NETWORK; IMPACT;

D O I：

10.1136/jitc-2024-009721

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary collaborations amid the constantly evolving interplay between clinical needs and technological innovation.

引用

页数：15

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