Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-25T19:08:52.176Z Has data issue: false hasContentIssue false

Chapter 9 - Immunohistochemistry for Future Applications

Published online by Cambridge University Press:  16 June 2022

By
Candice J. Clarke
Edited by
Trung Nguyen
Trung Nguyen
Affiliation:
Peter MacCallum Cancer Centre, Australia
Get access

Summary

Immunohistochemistry has progressed from humble beginnings as experimental techniques to what is now considered routine and essential analytical tools. Technologies available today in the research sphere may be adopted for standard practice in the near future. Multiplex assays can help pathology facilities extract more information from less tissue and improved amplification methods may reveal ultra-low expressing proteins that have escaped detection before. New forms of 'tagging' antibodies using nucleotides and quantum dots may replace traditional chromogen and fluorochrome protocols. Next-generation immunohistochemistry enlisting mass spectrometry principles to not only localize antigens in tissue but to also quantify the amount present has real clinical potential. Digital pathology and whole slide imaging have made significant progress to the point of being financially viable. All of these developments are standing at the doorway to the future of immunohistochemistry. Whether they are accepted and implemented in diagnostic laboratories remains to be seen. It is exciting to witness the continuing progression of immunohistochemistry.

Keywords

multiplexCODEXnanocrystalquantom dotsnext-generation immunohistochemistrymass spectrometrydigital pathologymicroarrayartificial intelligence
Type
Chapter
Information
Immunohistochemistry
A Technical Guide to Current Practices
 , pp. 253 - 265
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ahmed, M, Broeckx, G, Baggerman, G, Schildermans, K, Pauwels, P, Van Craenenbroeck, AH, Dendooven, A 2020. Next-generation protein analysis in the pathology department. J Clin Pathol 73(1):1–6.Google Scholar
Aljakna, A, Lauer, E, Lenglet, S, Grabherr, S, Fracasso, T, Augsburger, M, Sabatasso, S, Thomas, A 2018. Multiplex quantitative imaging of human myocardial infarction by mass spectrometry-immunohistochemistry. Int J Legal Med 132(6):1675–84.Google Scholar
Angelo, M, Bendall, SC, Finck, R, Hale, MB, Hitzman, C, Borowsky, AD, Levenson, RM, Lowe, JB, Liu, SD, Zhoa, S, Natkunam, Y, Nolan, GP 2014. Multiplexed ion beam imaging of human breast tumors. Nat Med 20(4):436–42.CrossRefGoogle ScholarPubMed
Baharlou, H, Canete, NP, Cunningham, AL, Harman, AN, Patrick, E 2019. Mass cytometry imaging for the study of human diseases: Applications and data analysis strategies. Front immuno 10:2657.Google Scholar
Bendall, SC, Nolan, GP, Roederer, M, Chattopadhyay, PK 2012. A deep profiler’s guide to cytometry. Trends Immunol 33(7):323–32.Google Scholar
Borowsky, AD, Glassy, EF, Wallace, WD, Kallichanda, NS, Behling, CA, Miller, DV, Oswal, HN, Feddersen, RM, Bakhtar, OR, Mendoza, AE, Molden, DP, Saffer, HL, Wixom, CR, Albro, JE, Cessna, MH, Hall, BJ, Lloyd, IE, Bishop, JW, Darrow, MA, Gui, D, Jen, KY, Walby, JAS, Bauer, SM, Cortez, DA, Gandhi, P, Rodgers, MM, Rodriguez, RA, Martin, DR, McConnell, TG, Reynolds, SJ, Spigel, JH, Stepenaskie, SA, Viktorova, E, Magari, R, Wharton, KA, Qiu, J, Bauter, TW 2020. Digital whole slide imaging compared with light microscopy for primary diagnosis in surgical pathology. Arch Pathol Lab Med 144(10):1245–53.Google Scholar
Carvajal-Hausdorf, DE, Schalper, KA, Neumeister, VM, Rimm, DL 2015. Quantitative measurement of cancer tissue biomarkers in the lab and in the clinic. Lab Invest 95(4):385–96.Google Scholar
Davidson, TM, Rendi, MH, Frederick, PD, Onega, T, Allison, KH, Mercan, E, Bunyé, TT, Shapiro, LG, Weaver, DL, Elmore, JG 2019. Breast cancer prognostic factors in the digital era: Comparison of Nottingham grade using whole slide images and glass slides. J Pathol Inform 10:11.Google Scholar
De Logu, F, Ugolini, F, Maio, V, Simi, S, Cossu, A, Massi, D, Nassini, R, Lourino, M 2020. Recognition of cutaneous melanoma on digitized histopathological slides via artificial intelligence algorithm. Front Oncol 10:1559.CrossRefGoogle ScholarPubMed
Dimitriou, N, Arandjelović, O, Caie, PD 2019. Deep learning for whole slide image analysis: An overview. Front Med (Lausanne) 6:264.CrossRefGoogle ScholarPubMed
Dixon, AR, Bathany, C, Tsuei, M, White, J, Barald, KF, Takayama, S 2015. Recent developments in multiplexing techniques for immunohistochemistry. Expert Rev Mol Diagn 15(9):1171–86.Google Scholar
Fassler, DJ, Abousamra, S, Gupta, R, Chen, C, Zhao, M, Paredes, D, Batool, SA, Knudsen, BS, Escobar-Hoyos, L, Shroyer, KR, Samaras, D, Kurc, T, Saltz, J 2020. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images. Diagn Pathol 15(1):100.Google Scholar
Giesen, C, Wang, HAO, Schapiro, D, Zivanovic, N, Jacobs, A, Hattendorf, B, Schϋffler, PJ, Grolimund, D, Buhmann, JM, Brandt, S, Varga, Z, Wild, PJ, Gϋnther, D, Bodenmiller, B 2014. Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry. Nat Methods 11(4):417–22.Google Scholar
Glinsmann-Gibson, B, Wisner, L, Stanton, M, Larsen, B, Rimsza, L, Maguire, A 2020. Recommendations for tissue microarray construction and quality assurance. Appl Immunohistochem Mol Morphol 28(4):325–30.Google Scholar
Goltsev, Y, Samusik, N, Kennedy-Darling, J, Bhate, S, Hale, M, Vasquez, G, Black, S, Nolan, GP 2018. Deep profiling of mouse splenic architecture with CODEX multiplexed imaging. Cell 174(4):968–81.Google Scholar
Gorris, MAJ, Halilovic, A, Rabold, K, Van Duffelen, A, Wickramasinghe, IN, Verweij, D, Wortel, IMN, Textor, JC, De Vries, IJM, Figdor, CG 2018. Eight-color multiplex immunohistochemistry for simultaneous detection of multiple immune checkpoint molecules within the tumor microenvironment. J Immunol 200(1):347–54.Google Scholar
Hall, BH, Ianosi-Irime, M, Javidian, P, Chen, W, Ganesan, S, Foran, DJ 2008. Computer-assisted assessment of the human epidermal growth factor receptor 2 immunohistochemical assay in imaged histologic sections using a membrane isolation algorithm and quantitative analysis of positive controls. BMC Med Imaging 8:11.Google Scholar
Han, G, Spitzer, MH, Bendall, SC, Fantil, WJ, Nolan, GP 2018. Metal-isotope-tagged monoclonal antibodies for high-dimensional mass cytometry. Nat Protoc 13(10):2121–48.Google Scholar
Hanna, MG, Reuter, VE, Ardon, O, Kim, D, Sirintrapun, SJ, Schϋffler, PJ, Busam, KJ, Sauter, JL, Brogi, E., Tan, LK, Xu, B, Bale, T, Agaram, NP, Tang, LH, Ellenson, LH, Philip, J, Corsale, L, Stamelos, E, Friedlander, MA, Ntiamoah, P, Labasin, M, England, C, Klimstra, DS, Hameed, M 2020. Validation of a digital pathology system including remote review during the COVID-19 pandemic. Mod Pathol 33(11):2115–27.Google Scholar
Hanna, MG, Reuter, VE, Hameed, MR, Tan, LK, Chiang, S, Sigel, C, Hollmann, T, Giri, D, Samboy, J, Moradel, C, Rosado, A, Otilano, JR, England, C, Corsale, L, Stamelos, E, Yagi, Y, Schϋffler, PJ, Fuchs, T, Klimstra, DS, Sirintrapun, SJ 2019. Whole slide imaging equivalency and efficiency study: Experience at a large academic center. Mod Pathol 32(7):916–28.CrossRefGoogle Scholar
Hoffmann, F, Umbreit, C, Krϋger, T, Pelzel, D, Ernst, G, Kniemeyer, O, Guntinas-Luchius, O, Berndt, A, Von Eggeling, F 2019. Identification of proteomic markers in head and neck cancer using MALDI-MS imaging, LC-MS/MS, and immunohistochemistry. Proteomics Clin Appl 13(1):e1700173.CrossRefGoogle ScholarPubMed
Hofman, P, Badoual, C, Henderson, F, Berland, L, Hamila, M, Long-Mira, E, Lassalle, S, Roussel, H, Hofman, V, Tartour, E, Ilié, M 2019. Multiplexed immunohistochemistry for molecular and immune profiling in lung cancer: Just about ready for prime-time? Cancers (Basel), 11(3):283.Google Scholar
Jawhar, NMT. 2009. Tissue microarray: A rapidly evolving diagnostic and research tool. Ann Saudi Med 29(2):123–7.Google Scholar
Koopman, T, Buikema, HJ, Hollema, H, De Bock, GH, Van Der Vegt, B 2019. What is the added value of digital image analysis of Her2 immunohistochemistry in breast cancer in clinical practice? A study with multiple platforms. Histopathology 74(6):917–24.Google Scholar
Koopman, T, De Brock, GH, Buikema, HJ, Smits, MM, Louwen, M, Hage, M, Imholz, ALT, Van Der Vegt, B 2018. Digital image analysis of Her2 immunohistochemistry in gastric- and oesophageal adenocarcinoma: A validation study on biopsies and surgical specimens. Histopathology 72(2):191–200.Google Scholar
Lee, CW, Ren, YJ, Marella, M, Wang, M, Hartke, J, Couto, SS 2020. Multiplex immunofluorescence staining and image analysis assay for diffuse large B cell lymphoma. J Immunol Methods 478:112714.CrossRefGoogle ScholarPubMed
Levenson, RM, Borowsky, AD, Angelo, M 2015. Immunohistochemistry and mass spectrometry for highly multiplexed cellular molecular imaging. Lab Invest 95(4):397–405.Google Scholar
Loughrey, MB, Bankhead, P, Coleman, HG, Hagan, RS, Craig, S, McCorry, AMB, Gray, RT, McQuaid, S, Dunne, PD, Hamilton, PW, James, JA, Salto-Tellez, M 2018. Validation of the systematic scoring of immunohistochemically stained tumour tissue microarrays using QuPath digital image analysis. Histopathology 73(2):327–38.Google Scholar
Matea, CT, Mocan, T, Tabaran, F, Pop, T, Mosteanu, O, Puia, C, Iancu, C, Mocan, L 2017. Quantum dots in imaging, drug delivery and sensor applications. Int J Nanomedicine, 12: 5421–31.Google Scholar
Parra, ER, Franciso-Cruz, A, Wistuba, II 2019. State-of-the-art of profiling immune contexture in the era of multiplexed staining and digital analysis to study paraffin tumor tissues. Cancers (Basel) 11(2):247.Google Scholar
Parra, ER, Jaing, M, Solis, L, Mino, B, Laberiano, C, Hernandez, S, Gite, S, Verma, A, Tetzalff, M, Haymaker, C, Tamegnon, A, Rodriguez-Canales, J, Hoyd, C, Bernachez, C, Wistuba, I 2020. Procedural requirements and recommendations for multiplex immunofluorescence tyramide signal amplification assays to support translational oncology studies. Cancers (Basel) 12(2):255.Google Scholar
Parra, ER, Uraoka, N, Jiang, M, Cook, P, Gibbons, D, Forget, MA, Bernatchez, C, Haymaker, C, Wistuba, II, Rodriguez-Canales, J 2017. Validation of multiplex immunofluorescence panels using multispectral microscopy for immune-profiling of formalin-fixed and paraffin-embedded human tumor tissues. Sci Rep 7(1):13380.CrossRefGoogle ScholarPubMed
Phillips, D, Schϋrch, CM, Khodadoust, MS, Kim, YH, Nolan, GP, Jiang, S 2021. Highly multiplexed phenotyping of immunoregulatory proteins in the tumor microenvironment by CODEX tissue imaging. Front Immunol 12:687673.Google Scholar
Qaiser, T, Mukherjee, A, Reddy, PB C, Munugoti, SD, Tallam, V, Pitäaho, T, Lehtimäki, T, Naughton, T, Berseth, M, Pedraza, A, Mukundan, R, Smith, M, Bhalerao, A, Rodner, E, Simon, M, Denzeler, J, Huang, CH, Bueno, G, Snead, D, Ellis, IO, Ilyas, M, Rajpoot, N 2018. Her2 challenge contest: A detailed assessment of automated Her2 scoring algorithms in whole slide images of breast cancer tissues. Histopathology 72(2):227–38.CrossRefGoogle ScholarPubMed
Rost, S, Giltnane, J, Bordeaux, JM, Hitzman, C, Koeppen, H, Liu, SD 2017. Multiplexed ion beam imaging analysis for quantitation of protein expression in cancer tissue sections. Lab Invest 97(8):992–1003.CrossRefGoogle ScholarPubMed
Shakya, R, Nguyen, TH, Waterhouse, N, Khanna, R 2020. Immune contexture analysis in immuno-oncology: Applications and challenges of multiplex fluorescent immunohistochemistry. Clin Transl Immunology 9(10):e1183.Google Scholar
Shamai, G, Binenbaum, Y, Slossberg, R, Duek, I, Gil, Z, Kimmel, R 2019. Artificial intelligence algorithms to assess hormonal status from tissue microarrays in patients with breast cancer. JAMA Netw Open 2(7):e197700.CrossRefGoogle ScholarPubMed
Spitzer, MH, Nolan, GP 2016. Mass cytometry: Single cells, many features. Cell 165(4):780–91.Google Scholar
Sun, Z, Nyberg, R, Wu, Y, Bernard, B, Redmond, WL 2021. Developing an enhanced 7-color multiplex IHC protocol to dissect immune infiltration in human cancers. PLoS One 16(2):e0247238.Google Scholar
Tan, WCC, Nierurkar, SN, Cai, HY, Ng, HHM, Wu, D, Wee, YTF, Lim, JCT, Yeong, J, Lim, TKH 2020. Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy. Cancer Commun (Lond) 40(4):135–53.Google Scholar
Taube, JM, Akturk, G, Angelo, M, Engle, EL, Gnjatic, S, Greenbaum, S, Greenwald, NF, Hedvat, CV, Hollmann, TJ, Juco, J, Parra, ER, Rebelatto, MC, Rimm, DL, Rodriguez-Canales, J, Schalper, KA, Stack, EC, Ferreira, CS, Korski, K, Lako, A, Rodig, SJ, Schenck, E, Steele, KE, Surace, MJ, Tetzlaff, MT, Von Loga, K, Wistuba, II, Bifulco, CB 2020. The Society for Immunotherapy of Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validation. J Immunother Cancer 8(1):e000155.Google Scholar
Viratham Pulsawatdi, A, Craig, SG, Bingham, V, McCombe, K, Humphries, MP, Senevirathne, S, Richman, SD, QuirkeP, , Campo, L, Domingo, E, Maughan, TS, James, JA, Salto-Tellez, M 2020. A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment. Mol Oncol 14(10):2384–2402.CrossRefGoogle ScholarPubMed
Wilbur, DC, Brachtel, EF, Gilbertson, JR, Jones, NC, Vallone, JG, Krishnamurthy, S 2015. Whole slide imaging for human epidermal growth factor receptor 2 immunohistochemistry interpretation: Accuracy, precision, and reproducibility studies for digital manual and paired glass slide manual interpretation. J Pathol Inform 6:22.Google Scholar
Willemsen, M, Krebbers, G, Bekkenk, MW, Teunissen, MBM, Luiten, RM 2021. Improvement of opal multiplex immunofluorescence workflow for human tissue sections. J Histochem Cytochem 69(5):339–46.CrossRefGoogle ScholarPubMed
Wolff, AC, Hammond, MEH, Allison, KH, Harvey, BE, Mangu, PB, Bartlett, JMS, Bilous, M, Ellis, IO, Fitzgibbons, P, Hanna, W, Jenkins, RB, Press, MF, Spears, PA, Vance, GH, Viale, G, McShane, LM, Dowsett, M 2018. Human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Update. J Clin Oncol 36(20):2105–22.Google Scholar
Zhang, W, Hubbard, A, Jones, T, Racolta, A, Bhaumik, S, Cummins, N, Zhang, L, Garsha, K, Ventura, F, Lefever, MR, Lu, Z, Hurley, JK, Day, WA, Pestic-Dragovich, L, Morrisonn, LE, Tang, L 2017. Fully automated 5-plex fluorescent immunohistochemistry with tyramide signal amplification and same species antibodies. Lab Invest 97(7):873–85.Google Scholar
Zrazhevskiy, P, Gao, X 2013. Quantum dot imaging platform for single-cell molecular profiling. Nat Commun 4:1619.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×