Characterizing MHC-I Genotype Predictive Power for Oncogenic Mutation Probability in Cancer Patients

Author(s):  
Lainie Beauchemin ◽  
Michael Slifker ◽  
David Rossell ◽  
Joan Font-Burgada
2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A728-A728
Author(s):  
Shengqing Gu ◽  
Wubing Zhang ◽  
Xiaoqing Wang ◽  
Peng Jiang ◽  
Nicole Traugh ◽  
...  

BackgroundCancer immunotherapy, especially immune checkpoint blockade (ICB) therapy, is leading to a paradigm shift in cancer treatment, as a small percentage of cancer patients have obtained durable remission following ICB treatment. Successful ICB responses rely on cancer cells presenting antigens to the cell surface via the major histocompatibility complex (MHC), which activates antigen-specific T-lymphocytes to kill cancer cells. Type-I MHC (MHC-I) is wildly expressed in all cell types and mediates the interaction with cytotoxic CD8 T cells. However, over 65% of cancer patients are estimated to show defects in MHC-I-mediated antigen presentation, including downregulation of its expression that can lead to primary or acquired resistance to ICB therapy, and therapeutic strategies to effectively restore or boost MHC-I are limited.MethodsHere, we employed a CRISPR screening approach with dual-marker FACS sorting to identify factors that decouple the regulation of MHC-I and PD-L1. The experimentally validated target was used to generate a KO differential expression signature. Using this signature, we analyzed transcriptome data from drug perturbation studies to identify drugs that regulate MHC-I but not PD-L1. Finally, we validated the effect of the identified drug to enhance ICB response in a T-cell-dependent manner in vivo.ResultsCRISPR screens identified TRAF3, a suppressor of the NF-κB pathway, as a negative regulator of MHC-I but not PD-L1. The Traf3-knockout (Traf3-KO) gene expression signature is associated with better survival in ICB-naive cancer patients and better ICB response. We then screened for drugs with similar transcriptional effects as this signature and identified SMAC mimetics. We experimentally validated that the SMAC mimetic birinapant upregulates MHC-I, sensitizes cancer cells to T-cell-dependent killing, and adds to ICB efficacy. However, in cancer cells with high NF-κB activity, the effect of birinapant on MHC-I is weak, indicating context-dependent MHC-I regulation.ConclusionsIn summary, Traf3 deletion specifically upregulates MHC-I without inducing PD-L1 in response to various cytokines and sensitizes cancer cells to T-cell-driven cytotoxicity. The SMAC mimetic birinapant phenocopies Traf3-knockout and sensitizes MHC-I-low melanoma to ICB therapy. Further studies are needed to elucidate the context-dependencies of MHC-I regulation. Our findings provide preclinical rationale for treating some tumors expressing low MHC-I with SMAC mimetics to enhance sensitivity to immunotherapy. The approach used in this study can be generalized to identify other drugs that enhance immunotherapy efficacy.AcknowledgementsThis study was supported by grants from the NIH (R01CA234018 to XSL, R01AI137337 to BEG, P50CA101942-12 and P50CA206963 to GJF), Breast Cancer Research Foundation (BCRF-19-100 to XSL), Burroughs Wellcome Career Award in Medical Sciences (to BEG), and Sara Elizabeth O'Brien Trust Fellowship (to SG).We thank Drs. Kai Wucherpfennig and Deng Pan for their insightful suggestions on this study.Ethics ApprovalAll mice were housed in standard cage in Dana-Farber Cancer Institute Animal Resources Facility (ARF). All animal procedures were carried out under the ARF Institutional Animal Care and Use Committee (IACUC) protocol and were in accordance with the IACUC standards for the welfare of animals.


2020 ◽  
pp. 1-21
Author(s):  
Giulia Marton ◽  
Dario Monzani ◽  
Laura Vergani ◽  
Silvia Francesca Maria Pizzoli ◽  
Gabriella Pravettoni

Abstract. Cancer is a deadly disease that can lead to psychological suffering and decreased quality of life (QoL). Personality has been proven to have an effect on QoL and, in particular, Dispositional Optimism (DO) has been studied in relation to overcoming health crisis. The aim of this systematic review is to deepen the state of art of the relationship between QoL and DO in cancer patients. PubMed and Embase databases were systematically searched. Fifteen studies were included with a total of 5,249 cancer patients. All of the studies consider the relationship between DO and QoL, some studies analyze the correlation between the two variables and found a positive association. The majority of the studies investigate the predictive power of DO over QoL and most of them found DO to be predictive of a higher QoL. Results confirmed the association between DO and QoL in a sample of cancer patients. These results could influence the clinical practice as DO has been proven to have a beneficial effect on mental and physical health.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12567-e12567
Author(s):  
Hao Yu ◽  
Fang Chen ◽  
Li Yang ◽  
Jian-Yue Jin ◽  
Feng-Ming Spring Kong

e12567 Background: Radiation-induced lymphopenia accompanied with radiation therapy is associated with inferior clinical outcomes in a wide variety of solid malignancies. This study aimed to examine the potential determines of radiation-induced lymphocyte decrease and radiation-induced lymphopenia in breast cancer patients who underwent radiotherapy. Methods: Patients with breast cancer treated who underwent radiotherapy were enrolled in University of Hong Kong-Shenzhen Hospital (our cohort). Circulating lymphocyte levels were evaluated within 7 days prior to and end of radiation therapy. Feature groups including clinical data, tumor characteristics, radiotherapy dosimetrics, treatment regiments were also collected. We applied machine learning algorithms (Extreme Gradient Boosting, XGboost) to predict the ratio of lymphocyte level after radiotherapy to baseline lymphocyte level and the event of lymphopenia and compared with Lasso regression approaches. Next, we used Shapley additive explanation (SHAP) to explore the directional contribution of each feature for lymphocyte decrease and lymphopenia. For the purpose of model validation and proof-of-concept validation, an independent cohort of patients enrolled in prospective trial was eligible (IP cohort). Results: A total of 589 patients were enrolled in our cohort and 203 patients in IP cohort. XGboost models which trained in our cohort with performances of a mean RMSE: 0.157 and R2: 53.9% for the ratio of lymphocyte levels; a mean accuracy: 0.757 and ROC-AUC: 0.733 for the lymphopenia events, separately. These models can predict the ratio of lymphocyte levels with a mean RMSE: 0.175 and R2: 47%; predict the lymphopenia events with a mean accuracy: 0.739 and ROC-AUC: 0.737 in the totally independent IP cohort. The feature group of dosimetrics had the largest predictive power with RMSE: 0.192, R2: 29.8%, accuracy: 0.678 and ROC-AUC: 0.667; followed by the group of baseline blood cells with predictive power as RMSE: 0.207, R2: 18.9%, accuracy: 0.669 and ROC-AUC: 0.645. Next, by SHAP value analysis, we investigated that integral dose of the total body, V5 dose, mean lung dose and V20 dose of ipsilateral lung/bilateral lungs were in consequence important promote factors for lymphocyte decrease and for the event of lymphopenia, while the features of baseline monocyte, mean heart dose and tumor size played a role of protection at some extend. Conclusions: In this study, we constructed robust XGboost models for predicting the lymphocyte decrease and the event of lymphopenia in breast cancer patients who underwent radiation therapy. We also applied SHAP analysis for revealing the directional contribution of features. These results are important either for the understanding the contributions of dosimetrics on immune response or for the refine of radiation dosimetrics before treatment in future clinical usages.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2732
Author(s):  
Seo Hee Choi ◽  
Young Seok Kim ◽  
Jesang Yu ◽  
Taek-Keun Nam ◽  
Jae-Sung Kim ◽  
...  

Purpose: This nationwide multi-institutional study analyzed the patterns of care and outcomes of external beam radiotherapy (EBRT) in localized prostate cancer patients. We compared various risk classification tools and assessed the need for refinements in current radiotherapy (RT) schemes. Methods and Materials: We included non-metastatic prostate cancer patients treated with primary EBRT from 2001 to 2015 in this study. Data of 1573 patients from 17 institutions were analyzed and re-grouped using a risk stratification tool with the highest predictive power for biochemical failure-free survival (BCFFS). We evaluated BCFFS, overall survival (OS), and toxicity rates. Results: With a median follow-up of 75 months, 5- and 10-year BCFFS rates were 82% and 60%, and 5- and 10-year OS rates were 95% and 83%, respectively. NCCN risk classification revealed the highest predictive power (AUC = 0.556, 95% CI 0.524–0.588; p < 0.001). Gleason score, iPSA < 12 ng/mL, intensity-modulated RT (IMRT), and ≥179 Gy1.5 (EQD2, 77 Gy) were independently significant for BCFFS (all p < 0.05). IMRT and ≥179 Gy1.5 were significant factors in the high-risk group, whereas ≥170 Gy1.5 (EQD2, 72 Gy) was significant in the intermediate-risk group and no significant impact of dose was observed in the low-risk group. Both BCFFS and OS improved significantly when ≥179 Gy1.5 was delivered using IMRT and hypofractionation in the high-risk group without increasing toxicities. Conclusions: With NCCN risk classification, dose escalation with modern high-precision techniques might increase survivals in the high-risk group, but not in the low-risk group, although mature results of prospective studies are awaited.


2019 ◽  
Author(s):  
Tomoko Watanabe ◽  
Takayuki Honda ◽  
Hirohiko Totsuka ◽  
Masayuki Yoshida ◽  
Maki Tanioka ◽  
...  

Abstract Background Homologous recombination deficiency (HRD), which may be associated with high efficacy of PARP inhibitor- and platinum agent-based therapies, is a prevalent phenotype of breast cancer diagnosed in adolescents and young adults (AYAs; 15–39 years old). HRD score, indicating HRD status, is not routinely assessed in the oncology clinic due to the need for genome-wide analyses. Methods Subjects were a Japanese cohort of 46 AYA breast cancer patients, whose HRD scores were calculated from whole-exome sequencing data, and two existing breast cancer cohorts (US and European) for which HRD scores were available. Genetic and clinicopathological factors associated with the HRD-high phenotype, defined as HRD score ≥42, were selected based on the criterion that they be assessible by routine examinations qualifying for insurance reimbursement. A model for prediction of the HRD-high phenotype was constructed and validated using data from the three cohorts. Results In the Japanese AYA cohort, as in the US and European cohorts, HRD-high phenotype (13/46, 28.3%) was preferentially observed in cases with any or combination of germline BRCA1/2 mutations, somatic TP53 mutations, triple-negative subtype, and higher tumor grades. Because these four factors can be assessed by routine examination that qualifies for insurance reimbursement, we developed a model based on these factors to judge whether a case is HRD-high, using the US cohort (n = 744; Area under the curve [AUC] = 0.85). The predictive power of the model was validated in the Japanese (n = 46; AUC = 0.90) and European (n = 58; AUC = 0.96) AYA cases. A model developed using the European cohort (n = 477; AUC = 0.89) had similar predictive power in Japanese (AUC = 0.89) and US (n = 54; AUC = 0.87) AYA cohorts. Conclusions The HRD-high phenotype of AYA breast cancer can be deduced based on genomic and pathological factors that are routinely examined in the oncology clinic. The predictive model presented here could increase the fraction of AYA breast cancer patients who could benefit from PARP inhibitor­- and platinum agent-based therapies.


2020 ◽  
Vol 1 (1) ◽  
pp. 17-21
Author(s):  
Ömer Ayten ◽  
Tayfun Çalışkan ◽  
Kadir Canoğlu ◽  
Neslihan Kaya Terzi ◽  
Levent Emirzeoğlu ◽  
...  

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