<i>PD-L1</i> and <i>PD-L2</i> Genetic Alterations Define Classical Hodgkin Lymphoma and Predict OutcomePURPOSE: Classical Hodgkin lymphomas (cHLs) include small numbers of malignant Reed-Sternberg cells within an extensive but ineffective inflammatory/immune cell infiltrate. In cHL, chromosome 9p24.1/PD-L1/PD-L2 alterations increase the abundance of the PD-1 ligands, PD-L1 and PD-L2, and their further induction through Janus kinase 2-signal transducers and activators of transcription signaling. The unique composition of cHL limits its analysis with high-throughput genomic assays. Therefore, the precise incidence, nature, and prognostic significance of PD-L1/PD-L2 alterations in cHL remain undefined. METHODS: We used a fluorescent in situ hybridization assay to evaluate CD274/PD-L1 and PDCD1LG2/PD-L2 alterations in 108 biopsy specimens from patients with newly diagnosed cHL who were treated with the Stanford V regimen and had long-term follow-up. In each case, the frequency and magnitude of 9p24.1 alterations-polysomy, copy gain, and amplification-were determined, and the expression of PD-L1 and PD-L2 was evaluated by immunohistochemistry. We also assessed the association of 9p24.1 alterations with clinical parameters, which included stage (early stage I/II favorable risk, early stage unfavorable risk, advanced stage [AS] III/IV) and progression-free survival (PFS). RESULTS: Ninety-seven percent of all evaluated cHLs had concordant alterations of the PD-L1 and PD-L2 loci (polysomy, 5% [five of 108]; copy gain, 56% [61 of 108]; amplification, 36% [39 of 108]). There was an association between PD-L1 protein expression and relative genetic alterations in this series. PFS was significantly shorter for patients with 9p24.1 amplification, and the incidence of 9p24.1 amplification was increased in patients with AS cHL. CONCLUSION: PD-L1/PD-L2 alterations are a defining feature of cHL. Amplification of 9p24.1 is more common in patients with AS disease and associated with shorter PFS in this series. Further analyses of 9p24.1 alterations in patients treated with standard cHL induction regimens or checkpoint blockade are warranted.
Classical Hodgkin Lymphoma with Reduced β2M/MHC Class I Expression Is Associated with Inferior Outcome Independent of 9p24.1 StatusAbstract In classical Hodgkin lymphoma (cHL), malignant Hodgkin Reed–Sternberg (HRS) cells evade antitumor immunity by multiple mechanisms, including perturbed antigen presentation and enhanced PD-1 signaling. HRS cell expression of the PD-1 ligands is attributable, in part, to copy number alterations of 9p24.1/CD274(PD-L1)/PDCD1LG2(PD-L2). Amplification of PD-L1/PD-L2 is associated with advanced clinical stage and inferior progression-free survival (PFS) following first-line (induction) therapy. The relationships between altered expression of β2-microglobulin (β2M), MHC class I, and MHC class II by HRS cells, PD-L1/PD-L2 amplification, and clinical outcome in cHL are poorly defined. We assessed these variables in diagnostic biopsy specimens from 108 patients with cHL who received uniform treatment and had long-term follow-up and found decreased/absent expression of β2M/MHC class I in 79% (85/108) and decreased/absent expression of MHC class II in 67% (72/108) of cases. Patients with decreased/absent β2M/MHC class I had shorter PFS, independent of PD-L1/PD-L2 amplification and advanced stage. Decreased or absent MHC class II was unrelated to outcome. These results suggest that MHC class I–mediated antigen presentation by HRS cells is an important component of the biological response to standard chemo/radiotherapy. The paucity of β2M/MHC class I expression on HRS cells also prompts speculation regarding alternative mechanisms of action of PD-1 blockade in cHL. Cancer Immunol Res; 4(11); 910–6. ©2016 AACR.
PD-L1 and PD-L2 Expression in Cervical Cancer: Regulation and Biomarker PotentialPD-1/PD-L1 immune checkpoint inhibitors show potential for cervical cancer treatment. However, low response rates suggest that patient selection based on PD-L1 protein expression is not optimal. Here, we evaluated different PD-L1 detection methods and studied transcriptional regulation of PD-L1/PD-L2 expression by The Cancer Genome Atlas (TCGA) mRNAseq analysis. First, we determined the copy number of the PD-L1/PD-L2 locus by fluorescence in situ hybridization (FISH), PD-L1 mRNA expression by RNA in situ hybridization (RNAish), and PD-L1/PD-L2 protein expression by immunohistochemistry (IHC) on tissue microarrays containing a cohort of 60 patients. Additionally, distribution of PD-L1/PD-L2 was visualized based on flow cytometry analysis of single-cell suspensions (n = 10). PD-L1/PD-L2 locus amplification was rare (2%). PD-L1 mRNA expression in tumor cells was detected in 56% of cases, while 41% expressed PD-L1 protein. Discordant scores for PD-L1 protein expression on tumor cells between cores from one patient were observed in 27% of cases. Interestingly, with RNAish, PD-L1 heterogeneity was observed in only 11% of the cases. PD-L2 protein expression was found in 53%. PD-L1 mRNA and protein expression on tumor cells were strongly correlated (p &lt; 0.001). PD-L1 and PD-L2 protein expression showed no correlation on tumor cells (p = 0.837), but a strong correlation on cells in stromal fields (p &lt; 0.001). Co-expression of PD-L1 and PD-L2 on macrophage-like populations was also observed with flow cytometry analysis. Both PD-L1 and PD-L2 TCGA transcript levels strongly correlated in the TCGA data, and both PD-L1 and PD-L2 strongly correlated with interferon gamma (IFNG) expression/transcript levels (p &lt; 0.0001). Importantly, patients with high PD-L1/PD-L2/IFNG transcript levels had a survival advantage over patients with high PD-L1/PD-L2 and low IFNG expression. Based on these findings, we conclude that PD-L1/PD-L2 expression in cervical cancer is mainly associated with interferon induction and not gene amplification, which makes FISH unsuitable as biomarker. The heterogeneous PD-L1 and PD-L2 expression patterns suggest IHC unreliable for patient selection. RNAish, in conjunction with interferon signaling evaluation, seems a promising technique for immune checkpoint detection. These results warrant further investigation into their prognostic and predictive potential.
Epcoritamab induces potent anti-tumor activity against malignant B-cells from patients with DLBCL, FL and MCL, irrespective of prior CD20 monoclonal antibody treatmenttumor cells. Here, we assessed the preclinical efficacy of epcoritamab against primary tumor cells present in the lymph node biopsies from newly diagnosed (ND) and relapsed/refractory (RR) B-NHL patients. In the presence of T-cells from a healthy donor, epcoritamab demonstrated potent activity against primary tumor cells, irrespective of prior treatments, including CD20 mAbs. Median lysis of 65, 74, and 84% were achieved in diffuse large B-cell lymphoma (n = 16), follicular lymphoma (n = 15), and mantle cell lymphoma (n = 8), respectively. Furthermore, in this allogeneic setting, we discovered that the capacity of B-cell tumors to activate T-cells was heterogeneous and showed an inverse association with their surface expression levels of the immune checkpoint molecule Herpesvirus Entry Mediator (HVEM). In the autologous setting, when lymph node (LN)-residing T-cells were the only source of effector cells, the epcoritamab-dependent cytotoxicity strongly correlated with local effector cell-to-target cell ratios. Further analyses revealed that LN-residing-derived or peripheral blood-derived T-cells of B-NHL patients, as well as heathy donor T-cells equally mediated epcoritamab-dependent cytotoxicity. These results show the promise of epcoritamab for treatment of newly-diagnosed or relapsed/refractory B-NHL patients, including those who became refractory to previous CD20-directed therapies.
Clinical Validation of Whole Genome Sequencing for Cancer DiagnosticsPaul Roepman, Ewart de Bruijn, Stef van Lieshout et al.|Journal of Molecular Diagnostics|2021 Whole genome sequencing (WGS) using fresh-frozen tissue and matched blood samples from cancer patients may become the most complete genetic tumor test. With the increasing availability of small biopsies and the need to screen more number of biomarkers, the use of a single all-inclusive test is preferable over multiple consecutive assays. To meet high-quality diagnostics standards, we optimized and clinically validated WGS sample and data processing procedures, resulting in a technical success rate of 95.6% for fresh-frozen samples with sufficient (≥20%) tumor content. Independent validation of identified biomarkers against commonly used diagnostic assays showed a high sensitivity (recall; 98.5%) and precision (positive predictive value; 97.8%) for detection of somatic single-nucleotide variants and insertions and deletions (across 22 genes), and high concordance for detection of gene amplification (97.0%; EGFR and MET) as well as somatic complete loss (100%; CDKN2A/p16). Gene fusion analysis showed a concordance of 91.3% between DNA-based WGS and an orthogonal RNA-based gene fusion assay. Microsatellite (in)stability assessment showed a sensitivity of 100% with a precision of 94%, and virus detection (human papillomavirus), an accuracy of 100% compared with standard testing. In conclusion, whole genome sequencing has a >95% sensitivity and precision compared with routinely used DNA techniques in diagnostics, and all relevant mutation types can be detected reliably in a single assay. Whole genome sequencing (WGS) using fresh-frozen tissue and matched blood samples from cancer patients may become the most complete genetic tumor test. With the increasing availability of small biopsies and the need to screen more number of biomarkers, the use of a single all-inclusive test is preferable over multiple consecutive assays. To meet high-quality diagnostics standards, we optimized and clinically validated WGS sample and data processing procedures, resulting in a technical success rate of 95.6% for fresh-frozen samples with sufficient (≥20%) tumor content. Independent validation of identified biomarkers against commonly used diagnostic assays showed a high sensitivity (recall; 98.5%) and precision (positive predictive value; 97.8%) for detection of somatic single-nucleotide variants and insertions and deletions (across 22 genes), and high concordance for detection of gene amplification (97.0%; EGFR and MET) as well as somatic complete loss (100%; CDKN2A/p16). Gene fusion analysis showed a concordance of 91.3% between DNA-based WGS and an orthogonal RNA-based gene fusion assay. Microsatellite (in)stability assessment showed a sensitivity of 100% with a precision of 94%, and virus detection (human papillomavirus), an accuracy of 100% compared with standard testing. In conclusion, whole genome sequencing has a >95% sensitivity and precision compared with routinely used DNA techniques in diagnostics, and all relevant mutation types can be detected reliably in a single assay. Needs and complexity in molecular cancer diagnostics are rapidly increasing, driven by a growing number of targeted drugs and developments toward more personalized treatments.1Hyman D.M. Taylor B.S. Baselga J. Implementing genome-driven oncology.Cell. 2017; 168: 584-599Abstract Full Text Full Text PDF PubMed Scopus (250) Google Scholar,2Mosele F. Remon J. Mateo J. Westphalen C.B. Barlesi F. Lolkema M.P. Normanno N. Scarpa A. Robson M. Meric-Bernstam F. Wagle N. Stenzinger A. Bonastre J. Bayle A. Michiels S. Bièche I. Rouleau E. Jezdic S. Douillard J.-Y. Reis-Filho J. Dienstmann R. André F. Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group.Ann Oncol. 2020; 31: 1491-1505Abstract Full Text Full Text PDF PubMed Scopus (119) Google Scholar Simultaneously, advances in next-generation DNA sequencing technology have greatly enhanced the capability of cancer genome analyses, thereby rapidly progressing diagnostic approaches from small targeted panels to large panels and exome sequencing. Currently, whole genome sequencing (WGS) using tissue and matched blood samples from patients with (metastatic) cancer3Weinstein J.N. Collisson E.A. Mills G.B. Mills Shaw K.R. Ozenberger B.A. Ellrott K. Shmulevich I. Sander C. Stuart J.M. The Cancer Genome Atlas Research NetworkThe Cancer Genome Atlas Pan-Cancer analysis project.Nat Genet. 2013; 45: 1113-1120Crossref PubMed Scopus (3280) Google Scholar is getting in reach as the most complete genetic tumor diagnostics test. In the context of the Dutch national Center for Personalized Cancer Treatment (CPCT) clinical study (NCT01855477; https://clinicaltrials.gov/ct2/show/NCT01855477, last accessed May has a national WGS and in the the for the analysis of tumor biopsies by the in and matched samples have by of the of patients has and J. Lolkema M.P. N. E. C. K. S. A. M. M. S. E. of metastatic PubMed Scopus Google Scholar clinical study to data for with growing clinical for more and DNA analysis for toward targeted R. C. 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R. of in Genet. 2020; PubMed Scopus Google Scholar of detection of the and clinical and the availability of tumor samples used for validation between WGS and and WGS in concordance with standard assessment for all with a of types between for of the samples as using the WGS analysis more a a detection for the and of in WGS and whole genome sequencing. in a whole genome sequencing. In to the orthogonal with of DNA WGS analysis (human number by the with DNA by WGS for the as for the WGS and the data analysis and have from a to a A. F. E. N. M. K. A. validation of clinical and sequencing of for variants in Full Text Full Text PDF PubMed Scopus Google Scholar with the clinical need to screen for an increasing number of biomarkers in an number of tumor types D.M. Taylor B.S. Baselga J. Implementing genome-driven oncology.Cell. 2017; 168: 584-599Abstract Full Text Full Text PDF PubMed Scopus (250) Google J.M. E. A. M. N. M. E. S. E. 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Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group.Ann Oncol. 2020; 31: 1491-1505Abstract Full Text Full Text PDF PubMed Scopus (119) Google I. E. A. S. M. M. A. K. J. Normanno N. Rouleau E. E. E. of of next-generation sequencing in clinical diagnostic molecular for analysis of an of 2017; PubMed Scopus Google C. S. J. for validation of next-generation a of the for and of 2017; Full Text Full Text PDF PubMed Scopus Google S. C. A. A. M. 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