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M. Mino-Kenudson
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MINI 02 - Immunotherapy (ID 92)
- Event: WCLC 2015
- Type: Mini Oral
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:P. Forde, S.J. Antonia
- Coordinates: 9/07/2015, 10:45 - 12:15, Four Seasons Ballroom F3+F4
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MINI02.02 - Programmed Cell Death Ligand (PD-L1) Expression in Stage II and III Lung Adenocarcinomas and Nodal Metastases (ID 1519)
10:50 - 10:55 | Author(s): M. Mino-Kenudson
- Abstract
Background:
Inhibition of PD-L1 can lead to reactivation of tumor immunity and assist in cancer therapy. PD-L1 expression in tumor cells has been reported to correlate with clinicopathological parameters and prognosis in a variety of cancers including lung adenocarcinomas (ADC). However, it has not been well studied whether PD-L1 expression is altered along with tumor progression. In addition, little is known about the role of PD-L1 expression in predicting response to chemotherapy in ADC. Thus, we sought to compare PD-L1 expression in the main tumor and lymph node metastases of stage II and III ADC, and correlate PD-L1 expression with survival in patients who underwent adjuvant chemotherapy.
Methods:
The study cohort consisted of 109 ADC who underwent curative resection without neoadjuvant therapy and were diagnosed to have stage II or III disease. Of those, 60 cases received platinum-based adjuvant therapy and were followed at our institution. Immunohistochemistry for PD-L1 (E1L3N, 1:200, CST) was performed on sections of the primary tumor and/or metastatic lymph nodes and the primary tumor sections were also stained with CD8 (4B11, RTU, Leica Bond). Membranous staining of any intensity present in 5% or more of the tumor cells was deemed positive for PD-L1 expression. CD8+ tumor infiltrating lymphocytes (TILs) were evaluated using a 4-tier grading system (0-3). The PD-L1 expression in the primary tumor was correlated with that in lymph node metastases as well as clinicopathological parameters, including CD8+ TILs, and recurrence free survival (RFS).
Results:
Of the 109 cases, 53 (48.6 %) exhibited PD-L1 expression in the primary tumor, which was significantly associated with smaller tumor size, lower pT stage, nodal disease, solid-predominant pattern, the presence of tumor islands, necrosis and lymphovascular invasion, and increased CD8+ TILs (grade 2-3). Upon multivariate analysis, only increased CD8+ TILs remained significant (p=0.039). As for the primary – lymph node correlation, PD-L1 expression was seen in 57.6% of 59 N1 nodes, 53.1% of 32 N2 nodes, and 100% of one N3 node available for evaluation. The PD-L1 expression status was the same between the primary tumor and nodal metastases in the majority (76.3 % of N1 nodes, and 75.0% of N2; p<0.001 and p=0.005, respectively), and the upregulation of PD-L1 expression (positive expression was present in nodal metastasis with negative primary) was seen in only small fractions of the cohort (6.8% of N1 nodes and 9.3% of L2 nodes). Interestingly, PD-L1 expression in the primary tumor was associated with longer RFS in patients who underwent platinum-based adjuvant therapy (mean 84 months vs. 41 months in PD-L1 negative patients, p=0.016), but not in those without adjuvant therapy.
Conclusion:
PD-L1 expression in the primary tumor was associated with prominent CD8+ TILs as well as several adverse clinicopathological parameters including nodal disease, but PD-L1 expression in the nodal metastasis was similar to that in the primary tumor in the majority of cases. Although the evaluation was limited due to a small size of the cohort, PD-L1 expression in the primary tumor appears to be predictive of response to platinum-based adjuvant therapy.
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MINI 08 - Prognostic/Predictive Biomarkers (ID 106)
- Event: WCLC 2015
- Type: Mini Oral
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:T.E. Stinchcombe, N. Pavlakis
- Coordinates: 9/07/2015, 16:45 - 18:15, Mile High Ballroom 4a-4f
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MINI08.13 - Driver Mutation Status in Resected Stage I Lung Adenocarcinoma: Correlation with Radiographic CT Findings (ID 3251)
18:00 - 18:05 | Author(s): M. Mino-Kenudson
- Abstract
- Presentation
Background:
To indentify the correlation of chest computed tomography appearance and the presence of oncogenic driver mutations in resected stage I lung adenocarcinoma
Methods:
Patients with resected stage I lung adenocarcinoma were analyzed from 2008-2012 and categorized into 3 groups: pure ground glass (GGO), mix-solid and ground glass, and solid patterns. All patients underwent driver mutation analysis (26 genes and 89 point mutations) using a multiplex PCR-based assay from paraffin embedded tumors. Disease free survival (DFS) and overall survival (OS) were compared between patients with EGFR, KRAS and the wild-type tumors using Kaplan-Meier methods and Cox regression models.
Results:
237 patients who underwent curative resection for stage I lung adenocarcinoma were analyzed with a median follow-up 34 months. Female gender was observed in 68% (160/237) and 21% (50/237) were nonsmokers. Pure GGO was indentified in 9% (n=21), mixed solid in 69% (n=164), and solid in 22% (n=52) of cases. EGFR and KRAS mutation rates were 18.6% (n= 44) and 34.6% (n= 82), respectively. Univariate analysis showed that KRAS-mutated tumors (HR 1.91, 95% CI 1.37-2.67; p<0.01), solid component > 50%, (HR 2.65, 95% CI 1.03-6.8; p=0.04), and smoking status (HR 3.59, 95% CI 1.1-11.8; p=0.03) were associated with worse DFS. In multivariate analysis only KRAS-mutated tumor (HR 1.84, 95% CI 1.31-2.59; p<0.01) was significant for worse DFS. KRAS-mutated tumor was also associated with worse OS in both univariate (HR 1.72, 95% CI 1.14-2.59; p=0.009) and multivariate (HR 1.65, 95% CI 1.09-2.49; p=0.018) analysis. Tumors that harbored >50% solid component on CT chest with a KRAS mutation were associated with worse DFS (HR 2.87, 95% CI 1.4-5.92; p=0.004) and OS (HR 2.51, 95% CI 1.03-6.1; p=0.04) in multivariate analysis compared to wild type tumors that were < 50% solid.
Conclusion:
KRAS mutation status and percent solid component on chest CT were predictive of worse outcome in surgically resected stage I lung adenocarcinoma
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MINI 13 - Genetic Alterations and Testing (ID 120)
- Event: WCLC 2015
- Type: Mini Oral
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:Y. Koh, R.K. Thomas
- Coordinates: 9/08/2015, 10:45 - 12:15, 205+207
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MINI13.03 - Characterization of MET Gene and MET Protein Expression in Lung Cancer (ID 2155)
10:55 - 11:00 | Author(s): M. Mino-Kenudson
- Abstract
- Presentation
Background:
Activation of the MET signaling pathway can propel the growth of cancer cells in non-small cell lung cancer (NSCLC). Increased MET gene by amplification and/or polysomy can cause MET protein overexpression; less common causes include mutations, translocations, and alternative RNA splicing. Clinical trials using MET as a biomarker for selection of lung cancer patients who might most benefit from targeted therapy have experienced variable outcomes. We aimed to characterize the relationship between MET protein overexpression and MET amplification or mean copy number alterations in patients with NSCLC.
Methods:
The Lung Cancer Mutation Consortium (LCMC) is performing an ongoing study of biomarkers with patients with NSCLC from 16 cancer center sites across the United States. For this analysis, 403 cases had complete data for MET protein expression by immunohistochemistry (IHC, monoclonal antibody SP44, Ventana) and MET gene amplification by fluorescence in-situ hybridization (FISH, MET/CEP7 ratio). Pathologists evaluated MET expression using the H-score, a semi-quantitative assessment of the percentage of tumor cells with no, faint, moderate, and/or strong staining, ranging from 0-300. Spearman's correlation was used to analyze the correlation between MET protein expression (H-scores) and FISH results (MET/CEP7 ratio (N=403) and MET copy number (N=341). Protein overexpression using 5 different cut-offs was compared with amplification defined as MET/CEP7 ≥ 2.2 and high mean copy number defined as ≥ 5 MET gene copies per cell using the Fisher’s exact test. Cox Proportional Hazards models were built to examine the associations of these different definitions of positivity with prognosis, adjusting for stage of disease.
Results:
MET protein expression was significantly correlated with MET copy numbers (r=0.17, p=0.0025), but not MET/CEP7 ratio (r=-0.013, p=0.80). No significant association was observed between protein overexpression using a commonly used definition for MET positivity (“at least moderate staining in ≥ 50% tumor cells”) and MET amplification (p=0.47) or high mean copy number (p=0.09). A definition for MET protein overexpression as “≥ 30% tumor cells with strong staining” was significantly associated with both MET amplification (p=0.03) and high mean copy number (p=0.007), but a definition of “≥ 10% tumor cells with strong staining” was not significantly associated with either. Definitions of protein overexpression based on high H-scores (≥200 or ≥250) were associated with high MET mean copy numbers (p=0.03 and 0.0008, respectively), but not amplification (p=0.46 and 0.12, respectively). All 5 definitions of MET protein overexpression demonstrated a significant association with worse prognosis by survival analyses (p-values ranged from 0.001 to 0.03). High MET copy number (p=0.045) was associated with worse prognosis, but MET amplification was not (p=0.07).
Conclusion:
Evaluation of NSCLC specimens from LCMC sites confirms that MET protein expression is correlated with high MET copy number and protein overexpression is associated with worse prognosis. Definitions of MET protein overexpression as “an H-score ≥250” and “≥30% tumor cells with strong staining” were significantly associated with high mean MET copy number. It may be worth reevaluating the performance of MET as a biomarker by different definitions of positivity to predict response to MET-targeted therapies.
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ORAL 13 - Immunotherapy Biomarkers (ID 104)
- Event: WCLC 2015
- Type: Oral Session
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:D. Kim, D. Grunenwald
- Coordinates: 9/07/2015, 16:45 - 18:15, Four Seasons Ballroom F3+F4
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ORAL13.01 - PD-L1 Expression in Lung Adenocarcinomas Correlates with KRAS Mutations and Th1/Cytotoxic T Lymphocyte Microenvironment (ID 2496)
16:45 - 16:56 | Author(s): M. Mino-Kenudson
- Abstract
- Presentation
Background:
The interaction of PD-1, with its ligand, PD-L1 induces apoptosis of T cells and inhibits cytokine production, allowing tumor cells to bypass immune surveillance. PD-L1 expression on tumor cells can be upregulated via interferon gamma that is secreted by CD8+ cytotoxic T lymphocytes (CTLs) and/or Th1 pathway activation, counterbalancing the Th1/CTL microenvironment. Blockade of the PD-1/PD-L1 immune checkpoint in solid tumors has resulted in durable responses in early phase clinical trials. Moreover, protein expression of PD-L1 by immunohistochemistry (IHC) reportedly predicts patient response to anti-PD-1/PD-L1 therapies. Multiple studies have reported associations of PD-L1 expression with clinicopathological variables in lung adenocarcinomas (ADC), but such studies have produced conflicting results, possibly due to use of different antibody clones and cutoffs and possibly different ethnicities of the cohort. Thus, we correlated PD-L1 expression with clinicopathological and molecular profiles including subtypes of tumor infiltrating lymphocytes (TILs) in a large lung ADC cohort using a cut-off commonly used in clinical trials.
Methods:
PD-L1 (E1L3N, 1:200, CST), CD8 (4B11, RTU, Leica Bond), T-bet (Th1 transcription factor, D6N8B, 1:100, CST), and GATA3 (Th2 transcription factor, L50-823, 1:250, Biocare) IHC were performed on tissue microarrays constructed of 242 resected lung ADC. All cases underwent detailed histological analysis and a subset (n=128) of cases underwent clinical molecular testing. Membranous expression (regardless of intensity) in 5% or more tumor cells was deemed positive for PD-L1 expression. CD8+, T-bet+ and GATA3+ tumor infiltrating lymphocytes (TILs) were evaluated using a 4-tier grading system (0-3).
Results:
Our study cohort consisted of 242 patients with a pathologic stage of 0 in 1 case, I in 188, II in 37, III in 9, and IV in 7. Among those, 38 (15.7%) exhibited PD-L1 expression which was significantly associated with smoking history (p=0.008), large tumor size (p=0.007), solid predominant pattern (p<0.001), high nuclear grade (grade 3, p<0.001), vascular invasion (p=0.012), increased T-bet+ TILs (grade 2, p<0.001) and CD8+ TILs (grade 2, p<0.001), and KRAS mutations (p=0.001). High nuclear grade (p=0.011), KRAS mutations (p=0.004), and increased CD8+ TILs (p=0.005) remained significant predictors of PD-L1 expression in multivariate analysis, while advanced stage (II or higher vs. I, p=0.056) showed a trend towards PD-L1 expression. There was no difference in the 5-year progression free survival (PFS) between the PD-L1 positive and negative patients. In contrast, increased CD8+ TILs showed a borderline significance with favorable outcome (p=0.082), with the 5-year PFS being 87% for the CD8 positive group and 68% for the CD8 negative group, but neither PD-L1 nor CD8+ TILs was a significant predictor of survival by the cox proportional-hazards regression model.
Conclusion:
PD-L1 expression in ADC significantly correlates with KRAS mutations and several clinicopathological signatures of KRAS-mutants, including significant smoking history. The latter may have resulted in development of multiple passenger mutations that serve as neoantigens promoting the Th1/CTL microenvironment. These results suggest that blockade of the PD-1/PD-L1 axis may be a promising treatment strategy to reinstitute the Th1/CTL microenvironment for patients with KRAS-mutated ADC, in which there are currently no available treatment options.
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ORAL 37 - Novel Targets (ID 146)
- Event: WCLC 2015
- Type: Oral Session
- Track: Biology, Pathology, and Molecular Testing
- Presentations: 1
- Moderators:S.S. Ramalingam, E. Thunnissen
- Coordinates: 9/09/2015, 16:45 - 18:15, Mile High Ballroom 4a-4f
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ORAL37.07 - Lung Cancer Mutation Consortium Pathologist Panel Evaluation of MET Protein (ID 2129)
17:50 - 18:01 | Author(s): M. Mino-Kenudson
- Abstract
- Presentation
Background:
MET is a receptor tyrosine kinase with frequently activated signaling in lung cancers. Multiple studies indicate that MET overexpression correlates with poor clinical prognosis. Tumors with MET amplification and overexpression may respond better to MET inhibitors than tumors with low expression. The prevalence of MET overexpression in lung cancer cohorts has varied from 20%-80%, as has the proportion of patient’s testing positive for prospective clinical trials with entry based on MET overexpression. The Lung Cancer Mutation Consortium (LCMC) Pathologist Panel endeavored to standardize evaluation of MET protein expression with “Round Robin” conferences.
Methods:
508 FFPE non-small cell lung cancer specimens were stained by immunohistochemistry for MET protein expression (SP44 antibody, Ventana). Seven pathologists from LCMC sites with specialized training in MET scoring evaluated 78 Aperio-scanned images of MET-stained slides in two successive rounds of 39 different cases per round. The percentage of tumor cells with membranous and/or cytoplasmic staining at different intensities were evaluated with H-scores ranging from 0 to 300. Overall group and individual pathologist’s scores were compared with intraclass correlation coefficients (ICCs). Between rounds, a “Round Robin” teleconference was conducted to review discordant cases and improve consistency of scoring. Steps to improve scoring included: review of a Roche MET training document, sharing pictures of cases with concordant scores (Figure 1), and provision of H&E images for the second round to facilitate identification of tumor areas. Figure 1
Results:
The overall average MET H-score for the 78 cases was 165.3 (H-score range: 42.5-279.7). The average H-score was <125 for 14 specimens, 125-175 for 35 specimens, and >175 for 29 specimens. The overall group ICC comparing the consistency of H-scores from all 7 pathologists improved from 0.50 (95% confidence interval: 0.37-0.64, “fair” correlation) for the first scoring round to 0.74 (95% confidence interval: 0.64-0.83, “good” correlation) for the second round. A comparison of the individual pathologist’s ICCs demonstrated improved individual scoring consistency for all seven pathologists between rounds with an average of 0.64 (“moderate” correlation, range 0.43-0.76) for the first round and 0.82 (“almost perfect” correlation, range 0.75-0.93) for the second round.
Conclusion:
Development of standardized, reproducible strategies for evaluation of complex biomarkers, such as MET, are critical to clinical trial design. The consistency of scoring for MET protein expression and other biomarkers may be improved by continuous training and communication between pathologists with easy access to H&E images and other visual aids.
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