| Literature DB >> 33431630 |
Carolin Blumendeller1, Julius Boehme1, Maximilian Frick1, Martin Schulze1, Antje Rinckleb1, Christina Kyzirakos1, Simone Kayser1, Maria Kopp2, Sabine Kelkenberg2, Natalia Pieper2, Oliver Bartsch1, Dirk Hadaschick3, Florian Battke2, Arnulf Stenzl4, Saskia Biskup5,2.
Abstract
Upper tract urothelial carcinoma (UTUC) is often diagnosed late and exhibits poor prognosis. Only limited data are available concerning therapeutic regimes and potential biomarkers for disease monitoring. Standard therapies often provide only insufficient treatment options. Hence, immunotherapies and complementary approaches, such as personalized neoepitope-derived multipeptide vaccine (PNMV), come into focus. In this context, genetic analysis of tumor tissue by whole exome sequencing represents an essential diagnostic step in order to calculate tumor mutational burden (TMB) and to reveal tumor-specific neoantigens. Furthermore, disease progression is essential to be monitored. Longitudinal screening of individually known mutations in plasma circulating tumor DNA (ctDNA) by the use of next-generation sequencing and digital droplet PCR (ddPCR) might be a promising method to fill this gap.Here, we present the case of a 55-year-old man who was diagnosed with high-risk metastatic UTUC in 2015. After initial surgery and palliative chemotherapy, he developed recurrence of the tumor. Genetic analysis revealed a high TMB of 41.2 mutations per megabase suggesting a potential success of immunotherapy. Therefore, in 2016, off-label treatment with the checkpoint-inhibitor pembrolizumab was started leading to strong regression of the disease. This therapy was then discontinued due to side effects and treatment with a previously produced PNMV was started that induced strong T cell responses. During both treatments, plasma Liquid Biopsies (pLBs) were performed to measure the number of mutated molecules per mL plasma (MM/mL) of a known tumor-specific variant in the MLH1 gene by ddPCR for longitudinal monitoring. Under treatment, MM/mL was constantly zero. A few months after all therapies had been discontinued, an increase of MM/mL was detected that persisted in the following pLBs. When MRI scans proved tumor recurrence, treatment with pembrolizumab was started again leading to a rapid decrease of MM/mL in the pLB to again zero. Treatment response was then also confirmed by MRI.This case shows that use of immunotherapy and PNMV might be a promising treatment option for patients with high-risk metastatic UTUC. Furthermore, measurement of individually known tumor mutations in plasma ctDNA by the use of pLB could be a very sensitive biomarker to longitudinally monitor disease. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: immunotherapy; translational medical research; tumor biomarkers; urologic neoplasms; vaccination
Mesh:
Substances:
Year: 2021 PMID: 33431630 PMCID: PMC7802705 DOI: 10.1136/jitc-2020-001406
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Figure 1CT/MRI scans at different time points over the course of the disease. (A) CT scan from March 2016 before start of initial treatment with pembrolizumab showing strong lymph node metastases (arrow). (B) CT scan from April 2018 under initial therapy with pembrolizumab showing shrinkage of the metastases (arrow) indicating great treatment response supported by mutated molecules per mL plasma (MM/mL) constantly at zero. (C) MRI scan from November 2019, 6 months after discontinuation of treatment with personalized neoepitope-derived multipeptide vaccines showing reappearance of enlarged paraaortal lymph nodes (arrows) corresponding with increasing MM/mL between 44.49 and 188.01. (D) MRI scan from February 2020, 3 months after re-initiation of treatment with pembrolizumab showing shrinkage of the enlarged lymph nodes (arrow) indicating a new treatment response corresponding with MM/mL returning to zero.
Overview of the immune monitoring results
| Peptide-specific immune respones | September 13, 2018 (V9) | March 14, 2019 (V17) | July 08, 2019 (post V18) | |||||||
| 1 | HSYRGTGGIFK | TBL1XR1 | HLA-A*03:01 | 36 | – | – | ++ | + | Pool peptide 1+5 | Pool peptide 1+5 |
| 2 | MMFRNYQRK | CHD4 | HLA-A*03:01 | 38 | – | – | – | ++ | – | + |
| 3 | EVSAAHRAHYF | DNMT3A | HLA-A*26:01 | 36 | +++ | (+) positive tendency | + | – | Pool peptide 3+7 | Pool peptide 3+7 |
| 4 | DPTASVPSM | KIAA1549 | HLA-B*35:01 | 33 | +++ | – | ++ | – | Pool peptide 4+6 | Pool peptide 4+6 |
| 5 | HIPIIWATSY | PIK3C2B | HLA-A*26:01 | 45 | – | – | +++ | Pool peptide 1+5 | Pool peptide 1+5 | |
| 6 | VQRRAQGKLF | KEL | HLA-B*15:01 | 37 | – | – | – | + | Pool peptide 4+6 | Pool peptide 4+6 |
| 7 | AFDDKTRLV | WWC3 | HLA-C*04:01 | 33 | – | – | – | – | Pool peptide 3+7 | Pool peptide 3+7 |
| 8 | TGVPQSRPHIPRTQPQP | RNF43 | Class II | 36 | ++++ | – | + | – | ++ | – |
| 9 | MFKGVASSQFLPKGTKT | SETD2 | Class II | 38 | ++++ | – | +++ | – | – | |
| 10 | DWNPHQDLHAQDRAHRI | SMARCA4 | Class II | 33 | – | – | – | – | – | – |
HLA: human leukocyte antigen type, for which binding was predicted. VAF: variant allele frequency, detection frequency of the mutated allele. The observed frequencies could be influenced by tumor content and copy number variations and do not directly equal the proportion of the mutation in the tumor. SI: Stimulation Index, x-fold increase of polyfunctional reactive T cells (at least two of the markers CD154, IFN-γ, TNF and/or IL-2 positive) in the stimulated specimen compared to the according negative control specimen. Additional information: proportion (%) of reactive T cells (IFN-γ, TNF, IL-2 and/or CD154 positive) of the CD4+ or CD8+ T cell population after in vitro amplification. Does not directly equal the frequency of specific cells in vivo. +, lightly positive; ++, positive; +++, strongly positive; ++++, very strongly positive; IFN, interferon; TNF, tumor necrosis factor; IL, interleukin.
Figure 2Timeline of the patient’s treatment course. Starting in February 2017, MM/mL were measured via pLB and remained at undetectable levels until July 2019. Circled numbers indicated successive MRI scans: (1) and (2) no detected changes; (3) unspecific lymph node enlargement; (4) assured tumor progression and (5) tumor regression. ctDNA, circulating tumor DNA; MM/mL, mutated molecules per ml plasma; pLB, plasma Liquid Biopsy; TMB, tumor mutational burden.