Prognostic and Predictive Immunohistochemistry-Based Biomarkers in Cancer and Immunotherapy

被引:23
作者
Rizk, Emanuelle M. [1 ]
Gartrell, Robyn D. [1 ]
Barker, Luke W. [2 ]
Esancy, Camden L. [1 ]
Finkel, Grace G. [2 ]
Bordbar, Darius D. [2 ]
Saenger, Yvonne M. [1 ]
机构
[1] Columbia Univ, Irving Med Ctr, Dept Med, 650 West 168th St,Black Bldg 8-816, New York, NY 10032 USA
[2] Columbia Univ, Irving Med Ctr, Coll Phys & Surg, 650 West 168th St,Black Bldg 8-816, New York, NY 10032 USA
关键词
Immunotherapy; Predictive and prognostic biomarkers; Checkpoint inhibition; Immunohistochemistry; TUMOR-INFILTRATING LYMPHOCYTES; BREAST-CANCER; STAGE-III; PD-1; BLOCKADE; IMMUNE CELLS; T-CELLS; ANTIBODY; IPILIMUMAB; EXPRESSION; MELANOMA;
D O I
10.1016/j.hoc.2018.12.005
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Immunotherapy has drastically improved the prognosis of many patients with cancer, but it can also lead to severe immune-related adverse events. Biomarkers, which are molecular markers that indicate a patient's disease outcome or a patient's response to treatment, are therefore crucial to helping clinicians weigh the potential benefits of immunotherapy against its potential toxicities. Immunohistochemistry (IHC) has thus far been a powerful technique for discovery and use of biomarkers such as CD8(+) tumor infiltrating lymphocytes. However, IHC has limited reproducibility. Thus, if more IHC-based biomarkers are to reach the clinic, refinement of the technique using multiplexing or automation is key.
引用
收藏
页码:291 / +
页数:11
相关论文
共 78 条
[1]   Prognostic Value of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancers From Two Phase III Randomized Adjuvant Breast Cancer Trials: ECOG 2197 and ECOG 1199 [J].
Adams, Sylvia ;
Gray, Robert J. ;
Demaria, Sandra ;
Goldstein, Lori ;
Perez, Edith A. ;
Shulman, Lawrence N. ;
Martino, Silvana ;
Wang, Molin ;
Jones, Vicky E. ;
Saphner, Thomas J. ;
Wolff, Antonio C. ;
Wood, William C. ;
Davidson, Nancy E. ;
Sledge, George W. ;
Sparano, Joseph A. ;
Badve, Sunil S. .
JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (27) :2959-+
[2]   Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer [J].
Ali, H. Raza ;
Dariush, Aliakbar ;
Provenzano, Elena ;
Bardwell, Helen ;
Abraham, Jean E. ;
Iddawela, Mahesh ;
Vallier, Anne-Laure ;
Hiller, Louise ;
Dunn, Janet. A. ;
Bowden, Sarah J. ;
Hickish, Tamas ;
McAdam, Karen ;
Houston, Stephen ;
Irwin, Mike J. ;
Pharoah, Paul D. P. ;
Brenton, James D. ;
Walton, Nicholas A. ;
Earl, Helena M. ;
Caldas, Carlos .
BREAST CANCER RESEARCH, 2016, 18
[3]   PD-L1 and Tumor Infiltrating Lymphocytes as Prognostic Markers in Resected NSCLC [J].
Ameratunga, Malaka ;
Asadi, Khashayar ;
Lin, Xihui ;
Walkiewicz, Marzena ;
Murone, Carmel ;
Knight, Simon ;
Mitchell, Paul ;
Boutros, Paul ;
John, Thomas .
PLOS ONE, 2016, 11 (04)
[4]   IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade [J].
Ayers, Mark ;
Lunceford, Jared ;
Nebozhyn, Michael ;
Murphy, Erin ;
Loboda, Andrey ;
Kaufman, David R. ;
Albright, Andrew ;
Cheng, Jonathan D. ;
Kang, S. Peter ;
Shankaran, Veena ;
Piha-Paul, Sarina A. ;
Yearley, Jennifer ;
Seiwert, Tanguy Y. ;
Ribas, Antoni ;
McClanahan, Terrill K. .
JOURNAL OF CLINICAL INVESTIGATION, 2017, 127 (08) :2930-2940
[5]  
BERMAN DM, 2009, J CLIN ONCOL S, V27
[6]   Antibody validation [J].
Bordeaux, Jennifer ;
Welsh, Allison W. ;
Agarwal, Seema ;
Killiam, Elizabeth ;
Baquero, Maria T. ;
Hanna, Jason A. ;
Anagnostou, Valsamo K. ;
Rimm, David L. .
BIOTECHNIQUES, 2010, 48 (03) :197-209
[7]   Safety and Activity of Anti-PD-L1 Antibody in Patients with Advanced Cancer [J].
Brahmer, Julie R. ;
Tykodi, Scott S. ;
Chow, Laura Q. M. ;
Hwu, Wen-Jen ;
Topalian, Suzanne L. ;
Hwu, Patrick ;
Drake, Charles G. ;
Camacho, Luis H. ;
Kauh, John ;
Odunsi, Kunle ;
Pitot, Henry C. ;
Hamid, Omid ;
Bhatia, Shailender ;
Martins, Renato ;
Eaton, Keith ;
Chen, Shuming ;
Salay, Theresa M. ;
Alaparthy, Suresh ;
Grosso, Joseph F. ;
Korman, Alan J. ;
Parker, Susan M. ;
Agrawal, Shruti ;
Goldberg, Stacie M. ;
Pardoll, Drew M. ;
Gupta, Ashok ;
Wigginton, Jon M. .
NEW ENGLAND JOURNAL OF MEDICINE, 2012, 366 (26) :2455-2465
[8]   Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer [J].
Carstens, Julienne L. ;
de Sampaio, Pedro Correa ;
Yang, Dalu ;
Barua, Souptik ;
Wang, Huamin ;
Rao, Arvind ;
Allison, James P. ;
LeBleu, Valerie S. ;
Kalluri, Raghu .
NATURE COMMUNICATIONS, 2017, 8
[9]   Improved Survival with T Cell Clonotype Stability After Anti-CTLA-4 Treatment in Cancer Patients [J].
Cha, Edward ;
Klinger, Mark ;
Hou, Yafei ;
Cummings, Craig ;
Ribas, Antoni ;
Faham, Malek ;
Fong, Lawrence .
SCIENCE TRANSLATIONAL MEDICINE, 2014, 6 (238)
[10]  
Clemente CG, 1996, CANCER, V77, P1303, DOI 10.1002/(SICI)1097-0142(19960401)77:7<1303::AID-CNCR12>3.3.CO