Zusammenfassung
Die rasante Entwicklung immunonkologischer Behandlungskonzepte wird von einer ebenso dynamischen Entwicklung assoziierter Biomarkerkonzepte zur Auswahl von Patienten, die von einer derartigen Therapie profitieren/nicht profitieren, begleitet. Neben einfachen auf der Expression von Zielmolekülen fußenden Strategien kommen in diesem Kontext zunehmend auch komplexere molekulare Herangehensweisen zum Einsatz. Diese umfassen beispielsweise die entitätsinformierte Bestimmung molekularbiologisch definierter Subtypen (z. B. mikrosatelliteninstabile Neoplasien) sowie Immunzelleffektorsignaturen und die Messung der Tumormutationslast als schon recht diagnostiknahe Biomarkerstrategien. Zudem befinden sich zahlreiche weitere molekulare Prädiktionskonzepte in Entwicklung. Begleitet wird die Identifikation neuer Einzelmarker von kombinatorischen Ansätzen, die Therapiealgorithmen zunehmend auf der integralen gleichzeitigen Evaluation mehrerer immunonkologischer Biomarker aufbauen. Die entsprechenden Entwicklungen im Feld werden in diesem Artikel kursorisch beleuchtet.
Abstract
The current rapid development of novel therapeutic approaches in immune oncology (IO) and specifically in the field of immune checkpoint inhibition is accompanied by an equally dynamic development of novel biomarker approaches for the identification of responding/non-responding patients under IO treatment. In addition to the measurement of the expression of checkpoint ligands/receptors, complex molecular predictors are gaining increasing attention in certain IO treatment constellations. This includes the entity informed identification of molecularly defined biological tumor subtypes (e.g., microsatellite instable neoplasms), the measurement of tumor mutational load and immune cell effector signatures as relatively routine diagnostic compatible novel biomarker strategies. In addition, a multitude of even more complex molecular IO biomarker approaches is emerging. This development is accompanied by new patient selection strategies which are based on the simultaneous combinatorial evaluation of more than one parameter. This article provides a comprehensive overview on currently relevant aspects in the field of IO biomarkers.
Literatur
Ayers M, Lunceford J, Nebozhyn M et al (2017) IFN-gamma-related mRNA profile predicts clinical response to PD‑1 blockade. J Clin Invest 127:2930–2940
Bellmunt J, Balar A, Galsky M et al (2016) IMvigor210: updated analyses of first-line (1L) atezolizumab (atezo) in cisplatin (cis)-ineligible locally advanced/metastatic urothelial carcinoma (mUC). Ann Oncol. https://doi.org/10.1093/annonc/mdw373.10
Blank CU, Haanen JB, Ribas A et al (2016) CANCER IMMUNOLOGY. The “cancer immunogram”. Science 352:658–660
Borghaei H, Hellmann MD, Paz-Ares LG et al (2018) Nivolumab (Nivo)+ platinum-doublet chemotherapy (Chemo) vs chemo as first-line (1L) treatment (Tx) for advanced non-small cell lung cancer (NSCLC) with〈 1 % tumor PD-L1 expression: Results from CheckMate 227. J Clin Oncol 36(S15):9001
Borghaei H, Paz-Ares L, Horn L et al (2015) Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N Engl J Med 373:1627–1639
Boxberg M, Steiger K, Lenze U et al (2018) PD-L1 and PD‑1 and characterization of tumor-infiltrating lymphocytes in high grade sarcomas of soft tissue—prognostic implications and rationale for immunotherapy. Oncoimmunology 7:e1389366
Cancer Genome Atlas Research N (2014) Comprehensive molecular characterization of urothelial bladder carcinoma. Nature 507:315–322
Carbone DP, Reck M, Paz-Ares L et al (2017) First-line nivolumab in stage IV or recurrent non-small-cell lung cancer. N Engl J Med 376:2415–2426
Chen DS, Mellman I (2013) Oncology meets immunology: the cancer-immunity cycle. Immunity 39:1–10
Davoli T, Uno H, Wooten EC et al (2017) Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy. Science. https://doi.org/10.1126/science.aaf8399
Delaunay M, Guibert N, Lusque A et al (2018) Baseline circulating myeloid-derived suppressor cells and response to PD‑1 inhibitor in non-small cell lung cancer patients. J Clin Oncol 36(S5):145
Fabrizio D, Malboeuf C, Lieber D et al (2017) 102PAnalytic validation of a next generation sequencing assay to identify tumor mutational burden from blood (bTMB) to support investigation of an anti-PD-L1 agent, atezolizumab, in a first line non-small cell lung cancer trial (BFAST). Ann Oncol 28:v22. https://doi.org/10.1093/annonc/mdx363
Fehrenbacher L, Spira A, Ballinger M et al (2016) Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicentre, open-label, phase 2 randomised controlled trial. Lancet 387:1837–1846
Ferris RL, Blumenschein G Jr., Fayette J et al (2016) Nivolumab for recurrent squamous-cell carcinoma of the head and neck. N Engl J Med 375:1856–1867
Fesnak AD, June CH, Levine BL (2016) Engineered T cells: the promise and challenges of cancer immunotherapy. Nat Rev Cancer 16:566–581
Gettinger S, Choi J, Hastings K et al (2017) Impaired HLA class I antigen processing and presentation as a mechanism of acquired resistance to immune checkpoint inhibitors in lung cancer. Cancer Discov 7:1420–1435
Gopalakrishnan V, Spencer CN, Nezi L et al (2018) Gut microbiome modulates response to anti-PD‑1 immunotherapy in melanoma patients. Science 359:97–103
Grasso CS, Giannakis M, Wells DK et al (2018) Genetic mechanisms of immune evasion in colorectal cancer. Cancer Discov 8:730–749
Haddad RI, Seiwert TY, Chow LQM et al (2017) Genomic determinants of response to pembrolizumab in head and neck squamous cell carcinoma (HNSCC). J Clin Oncol 35(S15):6009
Hellmann MD, Callahan MK, Awad MM et al (2018) Tumor mutational burden and efficacy of Nivolumab Monotherapy and in combination with Ipilimumab in small-cell lung cancer. Cancer Cell 33:853–861.e4
Hellmann MD, Ciuleanu TE, Pluzanski A et al (2018) Nivolumab plus Ipilimumab in lung cancer with a high tumor mutational burden. N Engl J Med 378:2093–2104
Herbst RS, Baas P, Kim DW et al (2016) Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial. Lancet 387:1540–1550
Hopkins AM, Rowland A, Kichenadasse G et al (2017) Predicting response and toxicity to immune checkpoint inhibitors using routinely available blood and clinical markers. Br J Cancer 117:913–920
Kataoka K, Shiraishi Y, Takeda Y et al (2016) Aberrant PD-L1 expression through 3′-UTR disruption in multiple cancers. Nature 534:402–406
Kato S, Goodman A, Walavalkar V et al (2017) Hyperprogressors after Immunotherapy: Analysis of Genomic Alterations Associated with Accelerated Growth Rate. Clin Cancer Res 23:4242–4250
Kowanetz M, Zou W, Shames D et al (2016) Tumor mutation load assessed by FoundationOne (FM1) is associated with improved efficacy of atezolizumab (atezo) in patients with advanced NSCLC. Ann Oncol 27(S6):77
Lanitis E, Dangaj D, Irving M et al (2017) Mechanisms regulating T‑cell infiltration and activity in solid tumors. Ann Oncol 28:xii18–xii32
Lauss M, Donia M, Harbst K et al (2017) Mutational and putative neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma. Nat Commun 8:1738
Le DT, Durham JN, Smith KN et al (2017) Mismatch repair deficiency predicts response of solid tumors to PD‑1 blockade. Science 357:409–413
Le DT, Uram JN, Wang H et al (2015) PD‑1 blockade in tumors with mismatch-repair deficiency. N Engl J Med 372:2509–2520
Legrand FA, Gandara DR, Mariathasan S et al (2018) Association of high tissue TMB and atezolizumab efficacy across multiple tumor types. J Clin Oncol 36(S15):12000
Leung DK, De Langen J, Raunig D et al (2018) Whole body PD-L1 PET in patients with NSCLC and melanoma. J Clin Oncol 36(S5):139
Miao D, Margolis CA, Gao W et al (2018) Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma. Science 359:801–806
Nebot-Bral L, Brandao D, Verlingue L et al (2017) Hypermutated tumours in the era of immunotherapy: The paradigm of personalised medicine. Eur J Cancer 84:290–303
Nicolazzo C, Raimondi C, Mancini M et al (2016) Monitoring PD-L1 positive circulating tumor cells in non-small cell lung cancer patients treated with the PD‑1 inhibitor Nivolumab. Sci Rep 6:31726
Oh DY, Cham J, Zhang L et al (2016) Association between T cell repertoire diversification and both clinical response as well as toxicity following immune checkpoint blockade in metastatic cancer patients. J Clin Oncol 34(S15):3029
Ott PA, Hu Z, Keskin DB et al (2017) An immunogenic personal neoantigen vaccine for patients with melanoma. Nature 547:217–221
Peters S, Creelan B, Hellmann MD et al (2017) Abstract CT082: Impact of tumor mutation burden on the efficacy of first-line nivolumab in stage iv or recurrent non-small cell lung cancer: An exploratory analysis of CheckMate 026. Cancer Res 77(S13):CT082
Powles T, Durán I, Van Der Heijden MS et al (2018) Atezolizumab versus chemotherapy in patients with platinum-treated locally advanced or metastatic urothelial carcinoma (IMvigor211): a multicentre, open-label, phase 3 randomised controlled trial. Lancet 391:748–757
Powles T, Loriot Y, Ravaud A et al (2018) Atezolizumab (atezo) vs. chemotherapy (chemo) in platinum-treated locally advanced or metastatic urothelial carcinoma (mUC): Immune biomarkers, tumor mutational burden (TMB), and clinical outcomes from the phase III IMvigor211 study. J Clin Oncol 36(S6):409
Ramalingam SS, Hellmann MD, Awad MM, Borghaei H, Gainor J, Brahmer J, Spigel DR, Reck M, O’Byrne KJ, Paz-Ares L, Zerba K, Li X, Geese WJ, Green G, Lestini B, Szustakowski JD, Chang H, Ready N (2018) Tumor mutational burden (TMB) as a biomarker for clinical benefit from dual immune checkpoint blockade with nivolumab (nivo) + ipilimumab (ipi) in first-line (1L) non-small cell lung cancer (NSCLC): identification of TMB cutoff from CheckMate 568. Cancer Res 78(S13):CT078
Rittmeyer A, Barlesi F, Waterkamp D et al (2017) Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial. Lancet 389:255–265
Robert C, Thomas L, Bondarenko I et al (2011) Ipilimumab plus dacarbazine for previously untreated metastatic melanoma. N Engl J Med 364:2517–2526
Roemer MG, Advani RH, Ligon AH et al (2016) PD-L1 and PD-L2 genetic alterations define classical hodgkin lymphoma and predict outcome. J Clin Oncol 34:2690–2697
Roh W, Chen PL, Reuben A et al (2017) Integrated molecular analysis of tumor biopsies on sequential CTLA‑4 and PD‑1 blockade reveals markers of response and resistance. Sci Transl Med 9(379):eaah3560
Rosenberg JE, Hoffman-Censits J, Powles T et al (2016) Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial. Lancet 387:1909–1920
Rosenberg JE, Petrylak DP, Van Der Heijden MS et al (2016) PD-L1 expression, Cancer Genome Atlas (TCGA) subtype, and mutational load as independent predictors of response to atezolizumab (atezo) in metastatic urothelial carcinoma (mUC; IMvigor210). J Clin Oncol 34(S15):104
Routy B, Le Chatelier E, Derosa L et al (2018) Gut microbiome influences efficacy of PD‑1-based immunotherapy against epithelial tumors. Science 359:91–97
Sahin U, Derhovanessian E, Miller M et al (2017) Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature 547:222–226
Schmid P, Hegde PS, Zou W et al (2016) Association of PD-L2 expression in human tumors with atezolizumab activity. J Clin Oncol 34(S15):11506
Seiwert TY, Burtness B, Mehra R et al (2016) Safety and clinical activity of pembrolizumab for treatment of recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-012): an open-label, multicentre, phase 1b trial. Lancet Oncol 17:956–965
Sharma P, Hu-Lieskovan S, Wargo JA et al (2017) Primary, adaptive, and acquired resistance to cancer immunotherapy. Cell 168:707–723
Shen J, Ju Z, Zhao W et al (2018) ARID1A deficiency promotes mutability and potentiates therapeutic antitumor immunity unleashed by immune checkpoint blockade. Nat Med 24:556–562
Socinski MA, Jotte RM, Cappuzzo F et al (2018) Atezolizumab for first-line treatment of metastatic nonsquamous NSCLC. N Engl J Med 378:2288–2301
Straub M, Drecoll E, Pfarr N et al (2016) CD274/PD-L1 gene amplification and PD-L1 protein expression are common events in squamous cell carcinoma of the oral cavity. Oncotarget 7:12024–12034
Teo MY, Seier K, Ostrovnaya I et al (2018) Alterations in DNA damage response and repair genes as potential marker of clinical benefit from PD‑1/PD-L1 blockade in advanced urothelial cancers. J Clin Oncol 36:1685–1694
Topalian SL, Hodi FS, Brahmer JR et al (2012) Safety, activity, and immune correlates of anti-PD‑1 antibody in cancer. N Engl J Med 366:2443–2454
Velcheti V, Kim ES, Mekhail T et al (2018) Prospective clinical evaluation of blood-based tumor mutational burden (bTMB) as a predictive biomarker for atezolizumab (atezo) in 1L non-small cell lung cancer (NSCLC): Interim B‑F1RST results. J Clin Oncol 36(S15):12001
Wan JCM, Massie C, Garcia-Corbacho J et al (2017) Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat Rev Cancer 17:223–238
Yearley JH, Gibson C, Yu N et al (2017) PD-L2 expression in human tumors: relevance to anti-PD‑1 therapy in cancer. Clin Cancer Res 23:3158–3167
Zaretsky JM, Garcia-Diaz A, Shin DS et al (2016) Mutations associated with acquired resistance to PD‑1 blockade in melanoma. N Engl J Med 375:819–829
Danksagung
Der Autor dankt Renate Hartmann für die exzellente Bildadaptation und die Hilfe bei der Erstellung des Manuskripts.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Interessenkonflikt
W. Weichert gibt an, dass kein Interessenkonflikt besteht.
Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.
Additional information
Schwerpunktherausgeber
W. Roth, Mainz
Rights and permissions
About this article
Cite this article
Weichert, W. Molekulare Prädiktoren in der Immunonkologie. Pathologe 39, 546–555 (2018). https://doi.org/10.1007/s00292-018-0508-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00292-018-0508-9