Abstract
Amplifications of JAK2, PD-L1 and PD-L2 at 9p24.1 lead to constitutive expression of PD-L1. This, coupled with JAK2-activation dependent upregulation of PD-L1 and adaptive/induced expression leads to higher tumor PD-L1 expression and immune evasion. Renal tumors were therefore evaluated for 9p24.1 amplifications.
A combination of next generation sequencing-based copy number analysis, fluorescence in situ hybridization for JAK2/INSL6 and PD-L1/PD-L2 and immunohistochemistry for phospho-STAT3 (downstream target of JAK2), PD-L1, PD-L2 and PD-1 was performed. In this study we interrogated a “Discovery” cohort of 593 renal tumors, a “Validation” cohort of 398 high-grade renal tumors, The Cancer Genome Atlas (879 cases) and other public datasets (846 cases).
9p24.1 amplifications were significantly enriched in renal tumors with sarcomatoid transformation (5.95%, 15/252) when compared to all histologic subtypes in the combined “Discovery”, “Validation” and public datasets (16/2636, 0.6%, p<0.00001). Specifically, 9p24.1 amplifications amongst sarcomatoid tumors in public datasets, the “Discovery” and “Validation” cohorts were 7.7% (6/92), 15.1% (5/33) and 3.1% (4/127), respectively. Herein, we describe 13 cases and amplification status for these was characterized using next generation sequencing (n=9) and/or fluorescence in situ hybridization (n=10). Correlation with PD-L1 immunohistochemistry (n=10) revealed constitutive expression (mean H-score: 222/300, n=10). Analysis of outcomes based on PD-L1 expression in tumor cells performed on 282 cases (“Validation” cohort) did not reveal a significant prognostic effect and was likely reflective of advanced disease. A high incidence of constitutive PD-L1 expression in tumor cells in the “Validation” cohort (H-Score ≥250/300) was noted amongst 83 rhabdoid (6%) and 127 sarcomatoid renal tumors (7.1%). This suggests additional mechanisms of constitutive expression other than amplification events. Importantly, two patients with 9p24.1-amplified sarcomatoid renal tumors showed significant response to immunotherapy.
In summary, a subset of renal tumors with sarcomatoid transformation exhibits constitutive PD-L1 overexpression and these patients should be evaluated for enhanced response to immunotherapy.
Janus kinase 2 (JAK2) is one of four JAK-domain containing tyrosine kinases, which promotes downstream oncogenic signaling events through the signal transducer and activator of transcription (STAT) proteins (1). Diverse mechanisms of JAK2 activation commonly seen in myeloproliferative neoplasms include activating mutations (JAK2 p.V617F, exon12 mutations) and signaling through mutant thrombopoietin receptors (MPL p.W515L/K) (2). Another mechanism of JAK2 activation which is being increasingly recognized in both hematologic malignancies as well as in solid tumors involves genomic amplification events (3, 4). Amongst hematologic malignancies, these events have been described in classical Hodgkin lymphoma and mediastinal large B-cell lymphoma, while the expanding list of solid tumors with such alterations includes EBV-positive gastric adenocarcinoma, oral cavity squamous cell, lung small cell and breast carcinomas (4–11). A recent pan-cancer study of 118,187 tumors revealed this alteration to be much more ubiquitous, as it was observed in over 100 different tumor types, with an overall frequency of 0.7% (3). Interestingly, amongst solid tumor types where greater than 40 cases were evaluated, the highest prevalence of this alteration was reported in renal cell carcinomas with sarcomatoid change (6.1%, 4 off 66 cases) (3).
9p24.1 amplifications have significant clinical implications for immunotherapy in both hematologic neoplasms as well as in solid tumors (3, 12–16). Genes present at this genomic locus include JAK2, programmed death ligand-1 (PD-L1, also known as CD274/PDCD1LG1) and programmed death ligand-2 (PD-L2, also known as CD273/PDCD1LG2) (3, 4). As increased JAK2 signaling has been shown to lead to secondary overexpression of PD-L1 on the tumor cell surface, this 9p24.1 amplification event has a synergistic effect leading to constitutive over-expression of PD-L1 (4). In support of this thesis, we identified a unique biologic phenomenon in a lung adenocarcinoma which harbored a 1.5-fold germline intragenic gain of exon16 to 25 of JAK2, which codes for the C-terminus including the kinase domain (Supplementary Figure 1a). The corresponding biopsy specimen of the lung adenocarcinoma (Supplementary Figure 1b to e) demonstrated diffuse, strong nuclear expression of phospho-STAT3, which is a surrogate marker of activated JAK2-signaling (1). In addition, strong membranous expression of PD-L1 was noted in over 90% of neoplastic cells in this biopsy specimen, supporting JAK2-dependent signaling as having an important role in PD-L1 upregulation.
PD-L1/PD-L2 expressed on the tumor cell surface help evade the T-cell mediated immune response within the tumor microenvironment by binding the programmed death 1 (PD-1) receptor on these cells (17). Immune checkpoint inhibitors (anti-PD-1 agents: Nivolumab, Pembrolizumab; anti-CTLA-4 agents: Ipilimumab; anti-PD-L1 agents: Atezolizumab, Avelumab) restore this immune response and their use is gaining popularity as a therapeutic modality for renal cell carcinomas (18–23). Based on current National Comprehensive Cancer Network guidelines (NCCN Clinical Practice Guidelines in Oncology, NCCN Guidelines®, Kidney Cancer V.2.2018) the use of nivolumab is indicated for the treatment of patients with advanced renal cell carcinomas who have received prior anti-angiogenic therapy. Specifically, it is a category 1 recommendation (uniform consensus based on high-level evidence) for subsequent therapy of advanced clear cell renal cell carcinoma and a category 2A recommendation (uniform consensus based on lower-level evidence) for management of advanced non-clear cell renal cell carcinoma patients. Currently at least 9 clinical trials are actively exploring the role of immunotherapy in the management of advanced renal cell carcinomas (https://clinicaltrials.gov; Nivolumab: NCT01668784; Nivolumab & Ipilimumab: NCT02231749; Pembrolizumab: NCT02853344, NCT02853331, NCT02212730, NCT02432963; Atezolizumab: NCT02420821, NCT01984242; Avelumab: NCT01772004).
Given the growing body of literature documenting favorable response to immunotherapy for 9p24.1 amplified tumors (3, 12–16), in this study we have sought to determine the prevalence of these events in renal cell carcinomas and to characterize relevant clinicopathologic features of these tumors.
Materials and Methods
Patient Specimens
This study was approved by the institutional review board and involved analysis of molecular profiling data for all renal tumors profiled by a next generation sequencing (NGS)-based assay, Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), as part of an institutional clinical cancer genomics initiative (24–26). These cases were included in the “Discovery” cohort. Following institutional review board approval, the Mayo Clinic Nephrectomy Registry was queried to identify 398 patients treated with radical or partial nephrectomy for sporadic, unilateral WHO grade 4 RCC between 1980 and 2016. These cases comprised the “Validation cohort” and 282 of these patients met inclusion criteria for further statistical analysis related to outcomes and PD-L1 expression status, even though only a small subset received immunotherapy. See supplementary methods for specific details.
Immunohistochemistry and Fluorescence in Situ Hybridization
Immunohistochemistry was performed for PD1 (clone NAT105, prediluted, CELL MARQUE, Rocklin, CA), PD-L1, PD-L2, phospho-STAT3 (PD-L1: clone E1L3N, 1:400 dilution, PD-L2: clone D7U8C, 1:20 dilution and phospho-STAT3: clone M9C6, 1:250 dilution; Cell Signaling Technology, Danvers, MA) and TTF1 (clone 8G7G3/1, prediluted, Ventana, Tucson, Arizona). Immunohistochemistry with the PD-L1 antibody was clinically validated internally against the PD-L1 22C3 clone from pharmDx and found to be comparable. Fluorescence in situ hybridization for JAK2/INSL6 and PD-L1/PD-L2 genes was performed as previously described (27, 28). See supplementary methods for additional details.
Next Generation Sequencing-Based Copy Number Assessment: 9p24.1 Amplifications
Details of the MSK-IMPACT assay have been previously reported (24–26, 29). Based on previously reported criteria, amplifications were defined as a fold change ≥ 2.0, while copy number gains/borderline amplifications were defined as a fold change ≥ 1.5 but <2 (29). See supplementary methods for details.
Literature Review and Data Extraction from The Cancer Genome Atlas Datasets
The publicly available cBioPortal.32e34 platform was used to analyze data from The Cancer Genome Atlas and other public datasets (30). See supplementary methods for details.
Statistical Analysis
Associations of PD-L1 H-score and patient outcomes were assessed using the Validation cohort from the Mayo Clinic Nephrectomy Registry (282 cases). Cancer-specific and distant metastases-free survival were estimated using the Kaplan-Meier method with the duration of follow-up calculated from the date of nephrectomy to the date of distant metastases, death, or last follow-up. Associations with time to death from renal cell carcinoma and time to distant metastases were evaluated using Cox proportional hazards regression models and summarized with hazard ratios and 95% confidence intervals. All models were adjusted for year of nephrectomy to account for changes in clinical and pathologic features over time. Statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC) and R version 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria). All tests were two-sided and p-values <0.05 were considered statistically significant. See supplementary methods for details.
Results
Assessment of 9p24.1 Amplifications
Genes located at the 9p24.1 locus include JAK2, INSL6, PD-L1 and PD-L2 (Figure 1a). Molecular profiling of copy number alterations using JAK2, PD-L1 and PD-L2 exonic probes successfully identified these alterations. For instance, profiling of an area of sarcomatoid transformation in a chromophobe renal cell carcinoma revealed a 3.5-fold genomic amplification at this locus (Figure 1b, Case 1).
These alterations were confirmed by a combination of fluorescence in situ hybridization and immunohistochemistry. A representative case with a 2.7-fold 9p24.1 amplification detected by MSK-IMPACT, in an area of sarcomatoid transformation in a clear cell renal cell carcinoma, was confirmed using fluorescence in situ hybridization for PD-L1/PD-L2 (Figure 2a, b, Case 4), and immunohistochemistry for PD-L1 (Figure 2c, Case 4) and PD-L2 (not shown). Similarly, fluorescence in situ hybridization for JAK2/INSL6 (Figure 2d, e, Case 1) and corresponding immunohistochemistry for phospho-STAT3 (Figure 2f, Case 1), in an area of sarcomatoid transformation in a chromophobe renal cell carcinoma, were supportive of a 3.5-fold genomic amplification at 9p24.1.
Pattern of PD-L1 Expression by Immunohistochemistry
PD-L1 protein expression has been commonly described to occur in an adaptive and constitutive pattern (17). Constitutive expression is characterized by diffuse membranous expression in tumor cells independent of their association with adjacent activated T-lymphocytic infiltrates within the tumor microenvironment (Supplementary Figure 2a-f) and this pattern was observed in all renal cell carcinomas that were identified to have 9p24.1 amplifications. The adjacent non-neoplastic renal parenchyma (Supplementary Figure 2a-b), tumor-infiltrating lymphocytes (Supplementary Figure 2c-d) and stromal elements (Supplementary Figure 2e-f) lacked PD-L1 expression. On the other hand, adaptive expression in tumor cells was found to be geographically associated with tumor-infiltrating lymphocytes (Supplementary Figure 3a-d). This pattern was commonly seen in renal cell carcinomas that lacked 9p24.1 amplifications. Of note, a few 9p24.1 amplified tumors demonstrated a combined pattern of PD-L1 protein expression that included an adaptive pattern of expression adjacent to a cuff of tumor-infiltrating lymphocytes at the tumor front, in addition to a constitutive pattern of expression seen in the rest of the tumor (Supplementary Figure 4a-d). Furthermore, in these cases tumor-infiltrating lymphocytes exhibited a robust expression of PD1 (Supplementary Figure 4e-f).
Prevalence of 9p24.1 Amplifications in Renal Cell Carcinomas
Interrogation of the “Discovery” cohort of 593 renal tumors led to the identification of 5 cases with 9p24.1 amplifications, suggesting a prevalence of 0.8% (Table 1). Amongst 33 cases with sarcomatoid change in this cohort, the prevalence was 15.1% (5 cases). As this signature was only identified in high-grade renal tumors with sarcomatoid transformation, these cases were unlikely to have been specifically profiled in datasets looking at common histologic subtypes of renal cell carcinomas. For instance, analysis of The Cancer Genome Atlas datasets pertaining to 879 renal tumors, led to the identification of three 9p24.1-amplified tumors (Table 1) (31–34). All three cases were clear cell renal cell carcinomas, suggesting a prevalence of 0.6% (3 of 533 cases) in this cohort and two of these three tumors exhibited sarcomatoid transformation or rhabdoid features (information on the third tumor was not available). Analysis of publicly available datasets from a study of metastatic chromophobe renal cell carcinomas led to the identification of two (of 60, 3.3%) additional cases (Table 1) (35). Of note, both cases exhibited sarcomatoid transformation.
Table 1.
Study | Testing Platform | 9p24.1 Amplification | Other Alterations |
---|---|---|---|
31–34The Cancer Genome Atlas | Whole exome next generation sequencing assay | 3/533 (0.6%) clear cell renal cell carcinoma 0/66 chromophobe renal cell carcinoma 0/280 papillary renal cell carcinoma [Total Cohort: 3/879 (0.3%) renal cell carcinoma] | See Table 2 (cases 6, 11 and 12) for details |
36Malouf | 255 gene hybrid capture-based next generation sequencing assay | 2/26 (7.7%) renal cell carcinoma with sarcomatoid transformation | Case1: Sarcomatoid renal cell carcinoma (LRP1B c.10638G>C, TP53 c.395A>T, PTEN c.209+1G>C, JAK2/CD274 amplification, VHL deletion) Case2: Unclassified renal cell carcinoma (CCND1/ MDM4/RPTOR/JAK2 amplification) |
35Casuscelli et al | MSK-IMPACT next generation sequencing assay; (341-410 gene hybrid capture-based assay) | 2/60 (3.3%) chromophobe renal cell carcinoma | Case1: Included in Discovery Cohort (See case3 in Table 2) Case2: See case13 in Table 2 |
3 Goodman et al | Foundation One next generation sequencing assay (315-405 gene hybrid capture-based assay) | 4/66 (6.1%) renal cell carcinoma with sarcomatoid transformation [Total Cohort: 4/766 (0.5%) renal cell carcinoma, not otherwise specified] | Not reported |
Present Study Discovery Cohort |
MSK-IMPACT next generation sequencing assay (341-468 gene hybrid capture-based assay); Fluorescence in situ hybridization (whole slide section) JAK2/INSL6 (n=26), PD-L1/PD-L2 (n=2); Immunohistochemistry: PD-L1/PD-L2/PD1/pSTAT3 (n=6) |
5/33 (15.1%) renal cell carcinoma with sarcomatoid transformation (13 cases profiled by MSK-IMPACT, 20 cases screened by JAK2/INSL6 fluorescence in situ hybridization) [Total cohort: 5/593 (0.8%) renal cell carcinoma] |
See Table 2 (cases 1 to 5) for details |
Present Study Validation Cohort |
Fluorescence in situ hybridization (tissue microarray)
JAK2/INSL6 (n=398) Fluorescence in situ hybridization (whole slide section) JAK2/INSL6 (n=5) PD-L1/PD-L2 (n=2) Immunohistochemistry: PD-L1/PD-L2 (n=5) |
4/127 (3.1%) renal cell carcinoma with sarcomatoid transformation 0/271 non-sarcomatoid renal cell carcinoma [Total cohort: 4/398 (1.0%) renal cell carcinoma |
See Table 2 (cases 7-10) for details |
MSK-IMPACT: Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets.
A review of the literature in this regard revealed two additional informative studies. The first study reported results from molecular profiling of a cohort of sarcomatoid renal tumors and identified 2 of 26 cases, suggesting a prevalence of 7.7% (Table 1) (36). Specifically, an amplification of JAK2 was identified in the sarcomatoid component of two renal tumors, at least one of which had a lower grade clear cell component where this signature was absent (36). However, the authors of this study did not interrogate other genes present at the 9p24.1 locus. A second pan-cancer study that analyzed 118,187 tumors for 9p24.1 amplifications, reported the highest prevalence of this alteration in sarcomatoid renal tumors (4 of 66 cases, 6.1%, Table 1) amongst solid tumor types where greater than 40 cases had been profiled (3). However, no clinicopathologic features were reported for these cases (3).
In summary, while sarcomatoid renal tumors profiled as part of the “Discovery” cohort revealed a prevalence of 15.1% (5 of 33 cases), other published studies that focused specifically on the same histology revealed a prevalence of 6.1% (4 of 66 cases) to 7.7% (2 of 26 cases) (3, 36). To address the prevalence of this alteration further, tissue microarrays with representative tumor from 398 high-grade renal tumors were systematically screened for 9p24.1 amplifications using fluorescence in situ hybridization for JAK2/INSL6, as part of the “Validation” cohort. Confirmatory testing of positive cases was performed using the same technique on whole slides sections. Four cases identified using this approach had sarcomatoid transformation (of a total of 127 tumors with sarcomatoid features) suggesting a prevalence of 3.1% (Table 1). After combining the prevalence from “Discovery” and “Validation” cohorts, along with results from Malouf et al and Goodman et al, the overall prevalence of 9p24.1 amplifications in sarcomatoid renal tumors is 5.95% (15 of 252 cases) (3, 36). This is significantly higher compared to all histologic subtypes in the combined “Discovery”, “Validation”, The Cancer Genome Atlas datasets and results reported by Goodman et al (16/2636, 0.6%, p<0.00001) (3).
9p24.1-Amplified Renal Cell Carcinoma: Clinicopathologic Features
The clinicopathologic characteristics of 13 renal tumors with 9p24.1 amplifications (“Discovery” cohort: 5 cases; “Validation” cohort: 4 cases; TCGA: 3 cases; Casuscelli et al: 1 case) are listed in Table 2. The average age at nephrectomy for these patients was 62.8 years (range, 31 to 84 years) and these tumors were predominantly identified in male patients (9 of 13, 69%). The mean tumor size was 11.3cm (range, 6.3 to 20cm) based on what was reported for 11 (of 13) cases. Most of the cases were clear cell renal cell carcinomas (9 of 13, 69%) and 8 of these cases were WHO grade 4 with sarcomatoid or rhabdoid features. Of the remaining 4 cases, 3 were chromophobe renal cell carcinomas and two of these tumors exhibited sarcomatoid transformation. The fourth was a metastatic RCC, not otherwise specified, with extensive sarcomatoid transformation. In all, 11 of 13 (84.6%) cases exhibited sarcomatoid transformation or rhabdoid features. In addition, 10 (of 12, 83%) primary tumors were stage pT3 or higher.
Table 2.
Case Identifier | Age | Gender | Renal Cell Carcinoma Subtype | Sarcomatoid/Rhabdoid Features | WHO Grade | Size (cm) | pT | N | M | Follow Up | Immunotherapy |
---|---|---|---|---|---|---|---|---|---|---|---|
Case 1 (Discovery Cohort) | 58 | Male | Chromophobe | Sarcomatoid | NA | 15.5 | pT3a | N1 | Mx | disease (5 months) | None |
Case 2 (Discovery Cohort) | 71 | Male | (Metastasis to brain) Renal cell carcinoma, not otherwise specified | Sarcomatoid | - | - | - | - | M1 | Alive with disease (2 | None |
Case 3 (Discovery Cohort & Casuscelli et al) | 58 | Male | Chromophobe | Sarcomatoid | NA | 10.5 | pT4 | Nx | M1 | Alive with disease (1.5 months) | None |
Case 4* (Discovery Cohort) | 48 | Male | Clear Cell | Sarcomatoid | 4 | 10.1 | pT4 | N1 | M0 | Alive with disease (27.7 months) | First line therapy with lenvatinib (discontinued for persistence of disease) & pembrolizumab (discontinued for immune nephritis), for 16 months |
Case 5* (Discovery Cohort) | 61 | Male | Clear Cell | Sarcomatoid | 4 | 15 | pT4 | N1 | M1 | Dead of disease (26 months) | First line therapy with bevacizumab and atezolizumab, for 14 months |
Case 6 (TCGA-BP-4983) | 67 | Female | Clear Cell | Rhabdoid | 4 | 6.3 | pT3a | Nx | M0 | Alive without disease (116.5 months) | None |
None Case 7 (Validation Cohort) | 54 | Female | Clear Cell | Sarcomatoid | 4 | 20 | pT3b | N0 | M1 | Dead of disease (6 months) | None |
Case 8 (Validation Cohort | 71 | Male | Clear Cell | Sarcomatoid | 4 | 9 | pT3b | N0 | M1 | Dead of disease (16 months) | None |
Case 9 (Validation Cohort) | 77 | Female | Clear Cell | Sarcomatoid | 4 | 10 | pT3a | N1 | M0 | Dead of disease (8 months) | None |
Case 10 (Validation Cohort) | 70 | Male | Clear Cell | Sarcomatoid | 4 | 10 | pT2a | N0 | M0 | Dead of other causes (181 months) | None |
Case 11 (TCGA-CZ-5468 | 84 | Male | Clear Cell | Sarcomatoid | 4 | 8.3 | pT3b | Nx | M1 | Dead of disease (2 months) | Data not available |
Case 12 (TCGA-B8-4143 | 66 | Female | Clear Cell | None | 3 | 10 | pT3a | N0 | M1 | Dead of disease (23 months) | Data not available |
Case 13 (Casuscelli et al | 31 | Male | Chromophobe | None | - | - | pT1 | N0 | M0 | Alive without disease (27 months) | Data not available |
Cases treated with immunotherapy
TCGA: The Cancer Genome Atlas; WHO: World Health Organization
Eight (of 13, 62%) patients died of disease at a mean follow-up of 11 months (range, 2 to 26 months). Of the 2 patients with organ confined tumors, one patient with pT2aN0M0 disease died of other causes at 181 months of follow up, while a second patient with pT1N0M0 disease was alive without disease at 27 months of follow up.
Of note, 2 patients with pT4 clear cell RCCs with sarcomatoid transformation were treated with immunotherapy. The first patient, Case 4, received pembrolizumab as part of second line therapy. Pre-treatment imaging for this patient demonstrated widespread metastatic disease including involvement of the adrenal, muscle, bone as well as thoracic lymphadenopathy and involvement of both the right inferior pulmonary vein and left superior gluteal vein. Initial imaging studies showed stable disease, however, pembrolizumab was eventually discontinued after 16 months due to immune nephritis. This patient is alive with disease at 27.7 months of follow up. The second patient, Case 5, received atezolizumab as part of first line therapy. Imaging studies prior to the initiation of immunotherapy documented widespread metastatic disease in this case, as well. This included pulmonary, pleural, hepatic, osseous metastases as well as thoracic adenopathy and involvement of the nephrectomy bed. Follow up imaging at 3 months showed dramatic response particularly with decrease in the size and number of pulmonary metastasis, adenopathy and nephrectomy bed involvement. At the time of discontinuation of immunotherapy at 14 months, this patient had radiologic evidence of stable disease. This patient subsequently had disease progression and died of disease at 26 months of follow up.
9p24.1-Amplified Renal Cell Carcinoma: Molecular Profiling
The 5 cases identified using MSK-IMPACT showed a 1.9 to 3.5 fold change of genes at 9p24.1 (Table 3). These amplifications were confirmed using fluorescence in situ hybridization in all 5 cases as well as in 4 cases in the “Validation” cohort (Table 3). Interestingly, in a limited number of cases where a lower grade component was present, amplification was detected only in the higher-grade area with rhabdoid features or sarcomatoid transformation. A representative case has been illustrated in Figure 3a-f (Case 4). Whole exome sequencing was used for an additional case from the cohort characterized by Casuscelli et al and the 3 cases identified from The Cancer Genome Atlas datasets, respectively (Table 3) (35). Of note, a single 9p24.1-amplified tumor in The Cancer Genome Atlas dataset (Case 6), had documented JAK2/PD-L1/PD-L2 mRNA expression ≥99th percentile for the 510-clear cell renal cell carcinomas profiled (Table 3) (34). Furthermore, this case had structural rearrangements involving both JAK2 and PD-L1 (DOCK8-JAK2, CD274-KANK1). The functional significance of these structural rearrangements in the background of an amplification at the 9p24.1 locus is uncertain (37, 38).
Table 3.
Case Identifier | DNA Assay: 9p24.1 Amplification (Next Generation Sequencing) | DNA Assay: 9p24.1 Amplification (fluorescence in situ hybridization) | RNA Assay: (RNASeq | Protein Assay: (p-STAT3 IHC, H-Scores | Protein Assay: (PD-L1 IHC, H-Scores | Protein Assay: (PD-L2 IHC, H-Scores | Protein Assay: (PD1 IHC |
---|---|---|---|---|---|---|---|
Case 1 (Discovery Cohort) |
JAK2: 3.5-fold change PD-L1: 3.5-fold change PD-L2: 3.5-fold change |
JAK2/INSL6: + | - | p-STAT3: 210 | PD-L1: 240 | PD-L2: 200 | PD1: +++ |
Case 2 (Discovery Cohort) |
JAK2: 3.3-fold change PD-L1: 3.1-fold change PD-L2: not tested |
JAK2/INSL6: + | - | p-STAT3: 170 | PD-L1: 180 | PD-L2: 0 | PD1: + |
Case 3 (Discovery Cohort & Casuscelli et al) |
JAK2: 3.1-fold change PD-L1: 3.1-fold change PD-L2: not tested |
JAK2/INSL6: + | - | p-STAT3: 0 | PD-L1: 220 | PD-L2: 40 | PD1: + |
Case 4 (Discovery Cohort) |
JAK2: 2.7-fold change PD-L1: 2.7-fold change PD-L2: 2.7-fold change |
JAK2/INSL6: + PD-L1/PD-L2: + |
- | p-STAT3: 10 | PD-L1: 270 | PD-L2: 10 | PD1: + |
Case 5 (Discovery Cohort) |
JAK2: 1.9-fold change PD-L1: 1.9-fold change PD-L2: not tested |
JAK2/INSL6: + | - | p-STAT3: 100 | PD-L1: 260 | PD-L2: 10 | PD1: 0 |
Case 6 (TCGA-BP-4983) | JAK2/PD-L1/PD-L2 amplified |
JAK2/INSL6: + PD-L1/PD-L2: + |
JAK2/PD-L1: 100th percentile PD-L2: 99th percentile | p-STAT3: 30 | PD-L1: 290 | PD-L2: 0 | PD1: + |
Case 7 (Validation Cohort) | - |
JAK2/INSL6: + PD-L1/PD-L2: + |
- | - | PD-L1: 290 | PD-L2: 0 | - |
Case 8 (Validation Cohort) | - | JAK2/INSL6: + | - | - | PD-L1: 245 | PD-L2: 5 | - |
Case 9 (Validation Cohort) | - | JAK2/INSL6: + | - | - | PD-L1: 140 | PD-L2: 0 | - |
Case 10 (Validation Cohort) | - | JAK2/INSL6: + | - | - | PD-L1: 85 | PD-L2: 0 | - |
Case 11 (TCGA-CZ-5468) | JAK2/PD-L1/PD-L2 amplified | - | JAK2/PD-L1: 73rd–78th percentile PD-L2: 94th percentile | - | - | - | - |
Case 12 (TCGA-B8-4143) | JAK2 amplified | - | JAK2: 72nd percentile | - | - | - | - |
Case 13 (Casuscelli et al) | PD-L1 amplified | - | - | - | - | - | - |
TCGA: The Cancer Genome Atlas; IHC: immunohistochemistry.
Corresponding immunostaining was performed for phospho-STAT3, PD-L1, PD1 and PD-L2 (Supplementary Figure 5). Immunostaining for PD-L2 (n=10, mean H-score: 26.5) and phospho-STAT3 (n=6, mean H-score: 86.7) showed a poorer correlation with 9p24.1 amplification status compared to PD-L1 expression (n=10, mean H-score: 222; Table 3).
Nine 9p24.1-amplified cases were profiled for mutational status and 3 of these cases revealed alterations involving either TP53/PTEN/RELN genes which have been reported to be associated with sarcomatoid transformation and poor outcomes (Table 4) (39). Similarly, SETD2/BAP1/PBRM1 alterations have been reported to be associated with different rates of progression to sarcomatoid transformation. Of the 6-clear cell renal cell carcinomas profiled, only 1 case each had a mutation involving either SETD2, BAP1 or PBRM1 (Table 4) (39). Recent studies have correlated the efficacy of immunotherapy with a high tumor mutation burden (40). The mean tumor mutation burden for 5 cases profiled by MSK-IMPACT was 4 mutations/Megabase (range, 2–7.9) which was similar to all renal tumors within the institutional clinical sequencing cohort (3.0 mutations/Megabase), suggesting limited utility of this metric in these tumors.
Table 4.
Case Identifier | Sequencing Platform | ¶Tumor Mutation Burden (mutations/ Megabase | Mutations | Copy Number Changes | Structural Variants |
---|---|---|---|---|---|
Case 1 (Discovery Cohort) | MSK-IMPACT (468 gene panel) | 2.6 (Purity: 24%) | PTEN p.X212_splice, FOXO1 p.F14L, TP53 p.G334W | CEBPA/JAK2/PD-L1/PDL-2 Amplified | - |
Case 2 (Discovery Cohort) | MSK-IMPACT (410 gene panel) | 2.0 (Purity: 33%) | MYOD1 p.R203C, RASA1 p.H1021Y |
CDKN2Ap16INK4A/CDKN2Ap14 ARF/ CDKN2B Loss
PTPRD/JAK2/PD-L1 Amplified |
- |
Case 3 (Discovery Cohort & Casuscelli et al) | MSK-IMPACT (341 gene panel) | 2.2 (Purity: 38%) | TP53 p.R196X, PTEN p.Y346C | CRKL/JAK2/PD-L1 Amplified | - |
Case 4 (Discovery Cohort) | MSK-IMPACT (468 gene panel) | 5.3 (Purity: 45%) | TRAF7 p.R641H, ANKRD11 p.R82Q, MST1R p.G231D, PDGFRA p.L686V, PARK2 p.R334C, RAC1 p.N111T | 3p Loss, JAK2/PD-L1/PDL-2 Amplified | - |
Case 5 (Discovery Cohort) | MSK-IMPACT (410 gene panel) | 7.9 (Purity: 27%) |
TP53 p.C135Y, AXIN1 p.A552P, DNMT3A p.A84T, NTRK1 p.A612T, NTRK1 p.G643D, VHL p.L169*, PBRM1 splice variant c.2567+1G>C, SPEN splice variant c.1043A>T |
JAK2/PD-L1 Amplified | - |
Case 6 (TCGA-BP-4983) | Whole exome sequencing | - | SETD2 p. P2288Ifs*22, ASXL1 p.E997*, SPEN p.V1129I, TRAF7 p.R524Q, ACAN p.V94M, AMPH p.K112N, CACNA1E p.G310W, CHAD p.A94V CYLC1 p.L110F, CYP2B6 p.T303I | JAK2/PD-L1/PDL-2 Amplified | Fusions with genes on 9p24.1 (DOCK8-JAK2 & CD274-KANK1) in the setting of 9p24.1 Amplification (including JAK2/PDL1/ PDL-2) |
Case 7 (Validation Cohort) | None | - | - | - | - |
Case 8 (Validation Cohort) | None | - | - | - | - |
Case 9 (Validation Cohort) | None | - | - | - | - |
Case 10 (Validation Cohort) | None | - | - | - | - |
Case 11 (TCGA-CZ-5468) | Whole exome sequencing | - | APC p.A1884S, INPP4A p.L202W, MUTYH p.T490Pfs*67, AGO2 p.P484A, AGO2 p.M483I, CDK12 p.L649R, ABCA4 p.R152*, ABCA4 p.Q2104H, BCHE p.W550R, CDH7 p.L605H | 3p Loss & JAK2/PD-L1/PDL-2 Amplified | - |
Case 12 (TCGA-B8-4143) | Whole exome sequencing | - | BAP1 p.Y627*, DICER1 p.E731*, BRAF p.N49I, SMO p.A235T, SOX9 p.D444E, AMPD1 p.K375*, RCBTB2 p.Y299F, CHRM5 p.W271*, GALC p.K628T, GNAT2 p.D103G | JAK2 Amplification | - |
Case 13 (Casuscelli et al) | Whole exome sequencing | - | BARD1 p.L359_P365del, BLM p.R15C, NOTCH3 p.G2081V, NTRK2 p.P204H, KMT2D p.A2620T, SOCS1 p.Q210H | TBX3 Loss, MYC/NBN/SPOP/ PD-L1 Amplified | - |
TCGA: The Cancer Genome Atlas; MSK-IMPACT: Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets.
Average TMB for RCCs in the MSK Clinical Sequencing Cohort=3.0mt/MB. Tumor purity predictions based on FACETS. FACETS: Algorithm involving allele-specific copy number analysis from next generation sequencing data, Nucleic Acids Res. 2016 Sep 19;44(16):e131.
PD-L1 Expression Status of High-Grade Renal Cell Carcinomas: Prognostic Significance
Tissue microarrays with representative tumors from 398 high-grade renal tumors were evaluated for PD-L1 expression in tumor cells using immunohistochemistry (Figure 4a). As expected, 9p24.1-amplified tumors showed significantly higher H-scores (median: 242.5; interquartile range: 190–267.5, n=10) compared to non-9p24.1 amplified renal tumors. Similar to the results reported by Kawakami et al, sarcomatoid renal cell carcinomas showed significantly higher H-scores as well, with approximately 27.6% of cases showing an H-score ≥50 (Figure 4b) (41).
Immunostaining for PD-L1 revealed significant heterogeneity, particularly when higher grade rhabdoid or sarcomatoid elements were present in a background of lower-grade renal cell carcinoma (Supplementary Figure 6a-f). When estimating the H-score for such cases, an average score was assigned for all neoplastic cells irrespective of heterogeneity. On stratification of cases based on arbitrary H-score cutoffs (≥50, ≥100, ≥150, ≥200, ≥250), 6.0% (5 of 83 cases) of renal carcinomas with rhabdoid features and 7.1% (9 of 127 cases) of sarcomatoid renal tumors had a H-score ≥250 (Figure 4b). This high level of PD-L1 expression (H-score≥250) suggests that many of these tumors might potentially have constitutive expression secondary to mechanisms other than 9p24.1 amplifications. This is supported by mRNA expression profiling data from The Cancer Genome Atlas datasets where 9% (45 of 510) of clear cell, 11% (31 of 274) of papillary and 11% (7 of 65) of chromophobe renal cell carcinomas show increased mRNA expression of JAK2, PD-L1 and PD-L2 (34).
PD-L1 H-scores for 282 patients in the “Validation” cohort were analyzed for cancer-specific survival and 176 of these patients who were M0 at nephrectomy were analyzed for distant metastases-free survival. Since nearly half of the tumors studied had PD-L1 H-scores of 0, this feature was analyzed as continuous and after categorizing as 0 and >0. Cancer-specific survival rates (95% confidence interval; number still at risk) at 1, 2, and 3 years following surgery were 66% (60–72; 167), 49% (44–56; 123), and 40% (34–47; 88), respectively (Figure 3c). The univariable association of PD-L1 H-scores evaluated as continuous and categorical with cancer-specific survival is illustrated in Figures 3d and summarized in Supplementary Table 1. Distant metastases-free survival rates (95% confidence interval; number still at risk) at 1, 2, and 3 years following surgery were 52% (45–60; 81), 40% (33–48; 60), and 35% (28–43; 45), respectively (Figure 3e). The univariable association with distant metastases-free survival among patients who were M0 at nephrectomy is illustrated in Figure 3f and summarized in Supplementary Table 1 There were no statistically significant interactions between the categorized PD-L1 H-scores and rhabdoid (p=0.45) or sarcomatoid (p=0.62) differentiation for cancer-specific survival or distant metastasis-free survival (rhabdoid: p=0.27, sarcomatoid: p=0.66).
Discussion
This study was aimed at characterizing renal tumors with constitutive expression of JAK2/PD-L1 and PD-L2, secondary to genomic amplification events. Herein we highlight a unique biologic phenomenon where a lung adenocarcinoma with an isolated germline intragenic gain of JAK2 (including the entire kinase domain) shows increased phosphorylation of the JAK2 signaling target: STAT3. This in turn was correlated with overexpression of PD-L1 in all the neoplastic cells, consistent with activation of this signaling pathway. This supports the hypothesis that genomic amplifications at 9p24.1 upregulate PD-L1 expression both through the amplification of the PD-L1 gene and secondary to JAK2 activation.
Next generation sequencing based assessment of copy number gains at the 9p24.1 locus do not account for tumor heterogeneity due to the presence of non-neoplastic elements such as tumor infiltrating lymphocytes, stromal elements and background renal parenchyma. Therefore, the intra-tumoral localization of this genomic signature was confirmed using a combination of fluorescence in situ hybridization and immunohistochemistry which revealed these alterations to be limited to the tumor cells. RNA sequencing data and immunohistochemistry confirmed downstream changes at the mRNA and protein level, respectively. Interestingly, the strongest correlation between 9p24.1 amplification status and immunohistochemistry was for PD-L1 expression. As mentioned earlier, this may be explained by the fact that, in addition to genomic amplification, PD-L1 is also upregulated secondary to JAK2 activation. Furthermore, it is not uncommon to see 9p24.1 amplified tumors exhibit a combined pattern of PD-L1 expression, as several of these tumors exhibited constitutive expression along with adaptive expression that was geographically associated with and presumably induced by activated T-cell infiltrates (17). Of note, a recent study suggested that renal tumors with PBRM1 loss of function alterations exhibit increased activation of the JAK-STAT signaling pathway (42). A single case showed a PBRM1 splice site alteration (c.2567+1G>C, Case 5) and this could represent an additional mechanism of increased JAK2 signaling induced PD-L1 overexpression.
Our studies suggest that 9p24.1 amplifications are significantly enriched in renal cell carcinomas with sarcomatoid transformation (5.95% versus 0.6%). An interesting finding from cases identified in this cohort was the observation that in cases where a lower grade epithelial component was present, these alterations were only identified in the higher grade rhabdoid or sarcomatoid component. This observation is consistent with findings from a prior study where comprehensive molecular profiling was conducted both of a lower grade epithelial component and of a higher grade sarcomatoid component (36). In 1 of 3 cases profiled in this manner, a 9p24.1 amplification was detected only in the sarcomatoid component (36). Future studies are required to confirm this observation.
A review of the literature and our results suggests that 9p24.1 amplifications can occur in renal tumors with sarcomatoid transformation arising in a background of both clear cell and chromophobe renal cell carcinoma subtypes (35, 36). This raises the possibility that 9p24.1 amplifications may promote or be associated with sarcomatoid transformation independent of the underlying tumor type. At least one prior study has suggested that PD-L1 could directly govern sarcomatoid transformation by inducing epithelial to mesenchymal transformation in renal cell carcinomas (43, 44).
As prior studies have shown prognostic implications of PD-L1 expression status in renal tumors, including those with sarcomatoid transformation, we assessed PD-L1 expression in a cohort of 398 high-grade renal cell carcinomas (21, 23, 41). Our observations indicate that higher grade elements within a tumor often exhibit higher PD-L1 expression. Considering this, our approach of scoring PD-L1 expression in tissue microarray specimens was limited by tumor heterogeneity. However, this approach mirrors actual clinical practice for other tumor types. For instance, PD-L1 expression status in limited lung biopsies is often used to guide therapeutic decision making (45). No significant prognostic effects of PD-L1 expression was noted amongst our cohort of high-grade renal tumors on cancer-specific survival or distant metastasis-free survival and by the fact that only a minor subset of these patients received immunotherapy. This likely reflects the advanced disease status of our patient cohort selected for statistical analysis and is highlighted by the fact that at last follow-up 229 (of 282) patients had died at a median of 1.3 years following surgery. Although PD-L1 expression status in this cohort did not have a significant prognostic impact, it is imperative to identify biomarkers of response to therapy within this group of patients.
Interestingly, 2 patients with 9p24.1 amplified sarcomatoid renal cell carcinomas in our study demonstrated promising response to immunotherapy. While this is a very limited number of patients, these results are encouraging and suggest that 9p24.1 amplifications in renal tumors may be a biomarker for exceptional response to immunotherapy. This is consistent with what has been reported for response to immunotherapy for other 9p24.1-amplified hematologic and solid tumors (3, 12–16). Our results suggest a need for future studies that correlate response to immunotherapy with constitutive PD-L1 expression in advanced renal tumors.
Currently, some of the alternate next generation sequencing-based metrics which can potentially be used to guide immunotherapeutic decision making include an assessment of tumor mutation burden and our results suggest that this may not be a useful biomarker in patients with 9p24.1 amplified renal tumors.
In summary, 9p24.1 amplifications are enriched in renal tumors with sarcomatoid transformation and the prevalence of this alteration is approximately 5.95% of all such cases. This genomic amplification event shows good concordance with PD-L1 immunohistochemistry and this can be utilized in routine clinical practice to screen for these events. As immune checkpoint inhibitors continue to gain popularity as a therapeutic modality for advanced renal cell carcinomas, our study helps identify potential patient populations who might exhibit enhanced response to these agents (18–23).
Supplementary Material
References
- 1.Shuai K, Liu B. Regulation of JAK-STAT signalling in the immune system. Nat Rev Immunol 2003;3:900–11. [DOI] [PubMed] [Google Scholar]
- 2.Levine RL, Pardanani A, Tefferi A, et al. Role of JAK2 in the pathogenesis and therapy of myeloproliferative disorders. Nat Rev Cancer 2007;7:673–83. [DOI] [PubMed] [Google Scholar]
- 3.Goodman AM, Piccioni D, Kato S, et al. Prevalence of PDL1 Amplification and Preliminary Response to Immune Checkpoint Blockade in Solid Tumors. JAMA Oncol 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Green MR, Monti S, Rodig SJ, et al. Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma. Blood 2010;116:3268–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cancer Genome Atlas Research N. Comprehensive molecular characterization of gastric adenocarcinoma. Nature 2014;513:202–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Straub M, Drecoll E, Pfarr N, et al. CD274/PD-L1 gene amplification and PD-L1 protein expression are common events in squamous cell carcinoma of the oral cavity. Oncotarget 2016;7:12024–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.George J, Saito M, Tsuta K, et al. Genomic Amplification of CD274 (PD-L1) in Small-Cell Lung Cancer. Clin Cancer Res 2017;23:1220–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Balko JM, Giltnane JM, Wang K, et al. Molecular profiling of the residual disease of triple-negative breast cancers after neoadjuvant chemotherapy identifies actionable therapeutic targets. Cancer Discov 2014;4:232–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Barrett MT, Anderson KS, Lenkiewicz E, et al. Genomic amplification of 9p24.1 targeting JAK2, PD-L1, and PD-L2 is enriched in high-risk triple negative breast cancer. Oncotarget 2015;6:26483–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Balko JM, Schwarz LJ, Luo N, et al. Triple-negative breast cancers with amplification of JAK2 at the 9p24 locus demonstrate JAK2-specific dependence. Sci Transl Med 2016;8:334ra53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chen M, Andreozzi M, Pockaj B, et al. Development and validation of a novel clinical fluorescence in situ hybridization assay to detect JAK2 and PD-L1 amplification: a fluorescence in situ hybridization assay for JAK2 and PD-L1 amplification. Mod Pathol 2017;30:1516–26. [DOI] [PubMed] [Google Scholar]
- 12.Ansell SM, Lesokhin AM, Borrello I, et al. PD-1 blockade with nivolumab in relapsed or refractory Hodgkin’s lymphoma. N Engl J Med 2015;372:311–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Nayak L, Iwamoto FM, LaCasce A, et al. PD-1 blockade with nivolumab in relapsed/refractory primary central nervous system and testicular lymphoma. Blood 2017;129:3071–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Younes A, Santoro A, Shipp M, et al. Nivolumab for classical Hodgkin’s lymphoma after failure of both autologous stem-cell transplantation and brentuximab vedotin: a multicentre, multicohort, single-arm phase 2 trial. Lancet Oncol 2016;17:1283–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ikeda S, Goodman AM, Cohen PR, et al. Metastatic basal cell carcinoma with amplification of PD-L1: exceptional response to anti-PD1 therapy. NPJ Genom Med 2016;1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gupta S, Vanderbilt CM, Cotzia P, et al. JAK2, PD-L1, and PD-L2 (9p24.1) Amplification in Metastatic Mucosal and Cutaneous Melanomas with Durable Response to Immunotherapy. Hum Pathol 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Taube JM, Galon J, Sholl LM, et al. Implications of the tumor immune microenvironment for staging and therapeutics. Mod Pathol 2018;31:214–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Motzer RJ, Escudier B, McDermott DF, et al. Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma. N Engl J Med 2015;373:1803–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Motzer RJ, Tannir NM, McDermott DF, et al. Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma. N Engl J Med 2018;378:1277–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Escudier B, Sharma P, McDermott DF, et al. CheckMate 025 Randomized Phase 3 Study: Outcomes by Key Baseline Factors and Prior Therapy for Nivolumab Versus Everolimus in Advanced Renal Cell Carcinoma. Eur Urol 2017;72:962–71. [DOI] [PubMed] [Google Scholar]
- 21.Joseph RW, Millis SZ, Carballido EM, et al. PD-1 and PD-L1 Expression in Renal Cell Carcinoma with Sarcomatoid Differentiation. Cancer Immunol Res 2015;3:1303–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.McDermott DF, Sosman JA, Sznol M, et al. Atezolizumab, an Anti-Programmed Death-Ligand 1 Antibody, in Metastatic Renal Cell Carcinoma: Long-Term Safety, Clinical Activity, and Immune Correlates From a Phase Ia Study. J Clin Oncol 2016;34:833–42. [DOI] [PubMed] [Google Scholar]
- 23.Thompson RH, Gillett MD, Cheville JC, et al. Costimulatory B7-H1 in renal cell carcinoma patients: Indicator of tumor aggressiveness and potential therapeutic target. Proc Natl Acad Sci U S A 2004;101:17174–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Cheng DT, Mitchell TN, Zehir A, et al. Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology. J Mol Diagn 2015;17:251–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hyman DM, Solit DB, Arcila ME, et al. Precision medicine at Memorial Sloan Kettering Cancer Center: clinical next-generation sequencing enabling next-generation targeted therapy trials. Drug Discov Today 2015;20:1422–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zehir A, Benayed R, Shah RH, et al. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat Med 2017;23:703–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Italiano A, Thomas R, Breen M, et al. The miR-17–92 cluster and its target THBS1 are differentially expressed in angiosarcomas dependent on MYC amplification. Genes Chromosomes Cancer 2012;51:569–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Roemer MG, Advani RH, Ligon AH, et al. PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome. J Clin Oncol 2016;34:2690–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Ross DS, Zehir A, Cheng DT, et al. Next-Generation Assessment of Human Epidermal Growth Factor Receptor 2 (ERBB2) Amplification Status: Clinical Validation in the Context of a Hybrid Capture-Based, Comprehensive Solid Tumor Genomic Profiling Assay. J Mol Diagn 2017;19:244–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gao J, Aksoy BA, Dogrusoz U, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal 2013;6:pl1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Cancer Genome Atlas Research N. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature 2013;499:43–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cancer Genome Atlas Research N, Linehan WM, Spellman PT, et al. Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma. N Engl J Med 2016;374:135–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Davis CF, Ricketts CJ, Wang M, et al. The somatic genomic landscape of chromophobe renal cell carcinoma. Cancer Cell 2014;26:319–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ricketts CJ, De Cubas AA, Fan H, et al. The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma. Cell Rep 2018;23:3698. [DOI] [PubMed] [Google Scholar]
- 35.Casuscelli J, Weinhold N, Gundem G, et al. Genomic landscape and evolution of metastatic chromophobe renal cell carcinoma. JCI Insight 2017;2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Malouf GG, Ali SM, Wang K, et al. Genomic Characterization of Renal Cell Carcinoma with Sarcomatoid Dedifferentiation Pinpoints Recurrent Genomic Alterations. Eur Urol 2016;70:348–57. [DOI] [PubMed] [Google Scholar]
- 37.Kalyana-Sundaram S, Shankar S, Deroo S, et al. Gene fusions associated with recurrent amplicons represent a class of passenger aberrations in breast cancer. Neoplasia 2012;14:702–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Gupta S, Johnson SH, Vasmatzis G, et al. TFEB-VEGFA (6p21.1) co-amplified renal cell carcinoma: a distinct entity with potential implications for clinical management. Mod Pathol 2017;30:998–1012. [DOI] [PubMed] [Google Scholar]
- 39.Wang Z, Kim TB, Peng B, et al. Sarcomatoid Renal Cell Carcinoma Has a Distinct Molecular Pathogenesis, Driver Mutation Profile, and Transcriptional Landscape. Clin Cancer Res 2017;23:6686–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Goodman AM, Kato S, Bazhenova L, et al. Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers. Mol Cancer Ther 2017;16:2598–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kawakami F, Sircar K, Rodriguez-Canales J, et al. Programmed cell death ligand 1 and tumor-infiltrating lymphocyte status in patients with renal cell carcinoma and sarcomatoid dedifferentiation. Cancer 2017;123:4823–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Miao D, Margolis CA, Gao W, et al. Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma. Science 2018;359:801–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.He H, Magi-Galluzzi C. Epithelial-to-mesenchymal transition in renal neoplasms. Adv Anat Pathol 2014;21:174–80. [DOI] [PubMed] [Google Scholar]
- 44.Wang Y, Wang H, Zhao Q, et al. PD-L1 induces epithelial-to-mesenchymal transition via activating SREBP-1c in renal cell carcinoma. Med Oncol 2015;32:212. [DOI] [PubMed] [Google Scholar]
- 45.Forde PM, Chaft JE, Smith KN, et al. Neoadjuvant PD-1 Blockade in Resectable Lung Cancer. N Engl J Med 2018;378:1976–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
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