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Sukhmani Kaur Padda



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    P1.04 - Immunooncology (Not CME Accredited Session) (ID 936)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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      P1.04-20 - Computational Biological Model Prediction of PD-L1 Expression and Immunotherapy Response for KRAS Mutated Lung Cancer Based on Co-Mutations (ID 13049)

      16:45 - 18:00  |  Presenting Author(s): Sukhmani Kaur Padda

      • Abstract
      • Slides

      Background

      Emerging data suggest that KRAS mutated non-small cell lung cancer (NSCLC) is a heterogeneous disease based on the presence of co-mutations. These co-mutations may impact PD-L1 expression, a predictive biomarker for PD-1/PD-L1 immunotherapy, and may result in differential responses to immunotherapy.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      Genomic information of NSCLC patients, including 2888 from publically available datasets and 86 from Stanford University, was input into computational biological model (CBM) software (Cellworks Group, San Jose, CA). Customized computational protein network maps of disease characteristics were generated for each patient. CBM was used to predict PD-L1 protein expression and also response to PD-1/PD-L1 immunotherapy in KRAS co-mutation subsets using 3 key metrics: PD-L1 expression; Dendritic Cell Infiltration Index (9 chemokine markers); and Immunosuppressive Biomarker Expression (14 markers).

      4c3880bb027f159e801041b1021e88e8 Result

      The major co-mutations observed with the KRAS mutation were in tumor suppressor genes (TP53, STK11, CDKN2A, KEAP1) and a downstream effector (PIK3CA). Using the CBM approach, KRAS mutated NSCLC tumors with TP53 co-mutations had the highest prevalence of PD-L1 protein expression whereas tumors with KRAS/KEAP1 and KRAS/STK11/KEAP1 co-mutations were associated with the lowest expression. Expression of PD-L1 in tumors with KRAS/STK11, KRAS/CDKN2A, KRAS/PIK3CA co-mutations, and KRAS without co-mutations was higher than in tumors with KRAS/STK11/KEAP1 and KRAS/KEAP1 co-mutations. Of the 30 NSCLC tumors in the Stanford dataset with available PD-L1 immunohistochemistry results, including 19 with KRAS/TP53 and 11 with KRAS/KEAP1 or KRAS/STK11/KEAP1, CBM accurately predicted PD-L1 expression in these two groups at rates of 79% and 72%, respectively. In regards to prediction of response to PD-1/PD-L1 immunotherapy, CBM predicted the majority of patients with KRAS/KEAP1 and KRAS/STK11/KEAP1 to be non-responders, whereas CBM predicted the majority of patients with KRAS/TP53, KRAS/PI3KCA, and KRAS without co-mutations to be responders. The proposed mechanism for KRAS co-mutations’ impact on PD-L1 expression from the CBM model integrates differential activation of (i) downstream pathways of KRAS (PI3K/AKT, RAF/ERK, and RAL) and (ii) transcription factors involved in PD-L1 expression (i.e., MYC, HIF1α, NFKβ, AP1, and STAT1/3).

      8eea62084ca7e541d918e823422bd82e Conclusion

      KRAS mutated NSCLC is emerging as a diverse disease based on co-mutations. The CBM approach demonstrates that PD-L1 expression varies among KRAS co-mutation subtypes along with likelihood of response to PD-1/PD-L1 immunotherapy. CBM provides proposed mechanisms underlying these differences and therefore, provides further rationale to examine more precise delivery of immunotherapy.

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    P1.12 - Small Cell Lung Cancer/NET (Not CME Accredited Session) (ID 944)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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      P1.12-06 - Pulmonary Neuroendocrine (Carcinoid) Tumors: CommNETs/NANETS Endorsement and Update of the ENETs Best Practice Consensus (ID 13029)

      16:45 - 18:00  |  Author(s): Sukhmani Kaur Padda

      • Abstract

      Background

      The lung is the most common single site of origin of neuroendocrine cancers, and lung neuroendocrine tumor (LNET) incidence and prevalence is rising. There is a lack of both LNET-specific data and up to date clinical guidance. Management of LNETs often relies on extrapolation from other tumor sites. The Commonwealth Neuroendocrine Tumour Collaboration (CommNETS) and North American Neuroendocrine Tumor Society (NANETS) sought to consider current data and provide updated guidance on LNET diagnosis and management.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      The latest best practice consensus on LNETs was published by the European Neuroendocrine Tumor Society (ENETS) in 2015. A review of content and methods using the AGREE II Rigour of Development subscale (www.agreetrust.org) confirmed the quality of the ENETS initiative, providing a basis for endorsement and update. A systematic literature search was conducted and a 22 member, multidisciplinary CommNETS/NANETS expert panel endorsed or modified recommendations from a patient-centered perspective. All statements were graded using Oxford criteria (CEBM.net).

      4c3880bb027f159e801041b1021e88e8 Result

      A total of 230 studies were identified for consideration by the panel. Recommendations were modified or added to reflect clinical data not available in 2015. Out of the 52 ENETS statements, 40% were endorsed, 58% were modified or updated, one was removed and four were added. Themes identified in the consensus update include new statements, practice changing modifications, augmented grades of recommendation and statement refinements, each addressing specialties ranging from epidemiology, pathology and diagnosis to treatment and follow-up (Table 1). The importance of LNET directed research and patient-centered care throughout the treatment trajectory is also emphasized, along with directions for future research.

      8eea62084ca7e541d918e823422bd82e Conclusion

      Ongoing collaboration is essential for future development of updated LNET clinical guidance and to direct research efforts in a patient-centered context. Our consensus update demonstrates international collaboration to develop guidance on clinical management of malignancies for which limited data are available.

      Table 1. Themes in CommNETS/NANETS Lung NET Consensus Update

      New statements

      Epidemiology

      Highlights marked increase in the incidence and prevalence of lung NETs

      Radiation Therapy

      Guidance on use of palliative EBRT for patients with symptomatic locally advanced or metastatic disease

      Medical Therapy

      Recommendation of pre-surgical prophylaxis with SSAs for patients with carcinoid syndrome

      Indicates lack of benefit of anti-angiogenics in lung NET

      Practice changing statement modifications

      Diagnosis

      Indicates limited clinical value of chromogranin A in lung NET diagnosis and disease state characterization

      Surgery

      Indicates that cytoreductive surgery of the liver may be expanded to patients with non-aggressive tumors, including those with more limited extra-hepatic disease

      Statements with augmented recommendations

      Surgery

      The grades of recommendation for complete anatomic resection and systematic nodal dissection for peripheral tumors and for preference of lung parenchymal-sparing surgery over pneumonectomy were each augmented to Grade B

      Medical Therapy

      The grades of recommendation for PRRT and mTOR inhibitors statements were augmented to Grades B and A, respectively

      Statement refinements

      Pathology

      Refined to reflect new standards for classification (WHO 2015) and staging (UICC/AJCC 8th edition)

      Tailored to highlight need for endobronchial biopsy or surgical resection for sufficient sampling to differentiate TC from AC

      Diagnosis

      Radiological imaging statements were modified to simplify guidance and clarify differences in requirements for diagnostic compared to liver imaging, and to guide application of various nuclear imaging techniques

      Bronchoscopy statements were simplified to highlight efficacy and safety of bronchoscopy

      Surgery

      Surgery for localized disease statements modified to reflect equivalence of sublobar resection and lobectomy, especially for typical carcinoid tumors

      Endobronchial resection statements were revised to reflect need to limit procedure to high risk patients or as a bridge to surgery

      Medical Therapy

      Follow-up statement was revised to better define and direct post-treatment surveillance for lung NETs patients who receive medical therapy

      AC; atypical carcinoid; EBRT, external beam radiotherapy; NET, neuroendocrine tumor; PRRT, peptide receptor radionuclide therapy; SSA; somatostatin analog; TC, typical carcinoid

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    P1.14 - Thymoma/Other Thoracic Malignancies (Not CME Accredited Session) (ID 946)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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      P1.14-17 - Identification of Molecular Subtypes of Thymic Epithelial Tumors and Novel Treatments Using a Computational Biological Model (ID 12521)

      16:45 - 18:00  |  Presenting Author(s): Sukhmani Kaur Padda

      • Abstract
      • Slides

      Background

      The histologic classification of thymic epithelial tumors (TETs) is based on the description of both epithelial cell morphology and relative abundance of lymphocytes. Here, we used a computational biological model (CBM) approach on The Cancer Genome Atlas (TCGA) dataset to identify molecular subtypes of TETs and associated predicted therapeutic options.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      Whole exome sequencing and gene expression data from the TCGA TET dataset (n = 102) along with the IUTAB-1 cell line was input into CBM software (Cellworks Group, San Jose, CA) to build an unsupervised classification model beyond molecular subtypes previously reported (Loehrer PJ ASCO 2017). The CBM generated a disease specific protein network map using PubMed and other online resources. Using computer simulation, disease biomarkers unique to each tumor were identified within the protein network maps. Among the tumors simulated, 6 molecular clusters were identified (TH1-TH6). The CBM digital drug library was tested against these molecular subtypes and the cell growth score (i.e. cell proliferation, viability, and apoptosis) was analyzed.

      4c3880bb027f159e801041b1021e88e8 Result

      The CBM identified 6 molecular subtypes among 102 TET patients. Among subtypes with a GTF2I mutation, TH1, TH4, and TH6 also had chromosomal aberrations in chromosome 22 and 9. Deletion of chromosome 22 was present in TH1, deletion of chromosome 9 in TH4 and TH6, and also amplification of chromosome 22q in TH4. Among GTF2I wild type subtypes, chromosome 22q deletion and complex cytogenetics were present in TH2, trisomy of chromosome 1 in TH3, and HRAS mutations and chromosome 2 amplification in TH5. The IUTAB-1 cell line had a GTF2I mutation and mapped to the TH4 molecular subtype. The CBM predictions of sensitivity of TH4 subtype to Nelfinavir (AKT inhibitor) and Panobinostat (histone deacetylase inhibitor) along with resistance to Everolimus (MTOR inhibitor) were validated in vitro. There were two molecular subtypes for which Everolimus was predicted to be sensitive, TH1 and TH6.

      8eea62084ca7e541d918e823422bd82e Conclusion

      We present an updated classification of TETs based on a CBM approach and associated potential novel therapeutic options that could be further validated in clinical trials.

      6f8b794f3246b0c1e1780bb4d4d5dc53

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    PC03 - Controversies in Management of Resectable Thymoma (ID 842)

    • Event: WCLC 2018
    • Type: Pro-Con Session
    • Track: Thymoma/Other Thoracic Malignancies
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 15:15 - 16:45, Room 205 AC
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      PC03.08 - Adjuvant Chemotherapy for Thymic Carcinoma - NO (ID 11613)

      16:25 - 16:35  |  Presenting Author(s): Sukhmani Kaur Padda

      • Abstract
      • Presentation
      • Slides

      Abstract not provided

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