Genetic Phenomena Commons^™

Keap1 And Stk11/Lkb1 Alterations Enhance Vulnerability To Atr Inhibition In Kras Mutant Non-Small Cell Lung Cancer, Ana Galan-Cobo, Natalie I Vokes, Yu Qian, David Molkentine, Kavya Ramkumar, Alvaro G Paula, Marlese Pisegna, Daniel J Mcgrail, Alissa Poteete, Sungnam Cho, Minh Truong Do, Amirali Karimi, Yifan Kong, Anisha Solanki, Ankur Karmokar, Nicolas Floc'h, Adina Hughes, Rebecca Sargeant, Lucy Young, Li Shen, Gozde Kar, Caezaan Keshvani, Claudio Arrechedera, Sharia Hernandez, Katharina Schlacher, Jing Wang, Sonia Iyer, James Conway, Mohamed Reda Keddar, Marta Milo, Ilario De Toma, Susan E Critchlow, J Carl Barrett, Jan Cosaert, Alan Lau, Viia Valge-Archer, Lauren A Byers, Simon T Barry, John V Heymach

Faculty, Staff and Student Publications

KRAS mutations frequently co-occur with alterations in STK11/LKB1 and/or KEAP1, defining an aggressive subset of lung cancers resistant to immuno- and chemotherapy. While LKB1 loss is associated with vulnerability to DNA damage response-based therapies, the impact of KEAP1 alterations remains unknown. We demonstrate that KEAP1-NRF2 pathway drives a compensatory modulation of ATR-CHK1 signaling, enhancing vulnerability to ATR inhibitors (ATRi), particularly in the setting of increased replication stress associated with LKB1 loss. ATRi shows enhanced anti-tumor activity in LKB1 and/or KEAP1-deficient non-small cell lung cancer (NSCLC) models and synergizes with gemcitabine. ATRi also enhances antitumor immunity and mitigates the immunosuppressed phenotype …

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

Perioperative Durvalumab Plus Chemotherapy Plus New Agents For Resectable Non-Small-Cell Lung Cancer: The Platform Phase 2 Neocoast-2 Trial, Tina Cascone, Laura Bonanno, Florian Guisier, Amelia Insa, Moishe Liberman, Olivier Bylicki, Lorenzo Livi, Thomas Egenod, Romain Corre, Dong-Wan Kim, Maria Rosario Garcia Campelo, Mariano Provencio Pulla, Byoung Yong Shim, Giulio Metro, Jaafar Bennouna, Agata A Bielska, Alula R Yohannes, Yun He, Adam Dowson, Gozde Kar, Lara Mcgrath, Rakesh Kumar, Italia Grenga, Jonathan Spicer, Patrick M Forde

Faculty, Staff and Student Publications

In the phase II NeoCOAST-2 platform study, 202 patients with untreated, resectable stage IIA–IIIB non-small-cell lung cancer (NSCLC) were randomized to receive neoadjuvant durvalumab plus platinum-doublet chemotherapy with oleclumab, a CD73 inhibitor (Arm 1), or with monalizumab, a NKG2A inhibitor (Arm 2), or neoadjuvant durvalumab plus single-agent platinum chemotherapy with the TROP-2 antibody–drug conjugate (ADC) datopotamab deruxtecan (Arm 4), followed by surgical resection and adjuvant durvalumab with oleclumab or monalizumab (Arms 1 and 2) or durvalumab alone (Arm 4). Primary endpoints were pathological complete response (pCR) rate and safety; secondary endpoints included feasibility of surgery and major pathological response (mPR) …

Machine-Learning Driven Strategies For Adapting Immunotherapy In Metastatic Nsclc, Maliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky, Shenduo Li, Milena Petranovic, Carol C Wu, Brett W Carter, Girish S Shroff, Tina Cascone, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Simon Heeke, Ajay Sheshadri, Joe Y Chang, Percy P Lee, Zhongxing Liao, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Ignacio I Wistuba, Cara Haymaker, Seyedali Mirjalili, David Jaffray, Justin F Gainor, Yanyan Lou, Alessandro Di Federico, Federica Pecci, Mark Awad, Biagio Ricciuti, John V Heymach, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remains limited, and single-feature biomarkers like PD-L1 prove inadequate. We develop a machine learning model using clinicogenomic data from four cohorts (MD Anderson n = 750; Mayo Clinic n = 80; Dana-Farber n = 1077; Stand Up To Cancer n = 393) to predict individual benefit from adding chemotherapy. Benefit scores are calculated using five distinct functions derived from 28 genomic and 6 clinical features. Our integrated model, A-STEP (Attention-based …

Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie

Faculty, Staff and Student Publications

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …

The Integrated Stress Response Pathway Coordinates Translational Control Of Multiple Immune Checkpoints In Lung Cancer, Shayna Thomas-Jardin, Shruthy Suresh, Ariana Arce, Nicole Novaresi, Qing Deng, Emily Stein, Lisa Thomas, Cheryl Lewis, Chul Ahn, Bret M Evers, Esra A Akbay, Maria E Salvatierra, Wei Lu, Khaja Khan, Luisa M Solis Soto, Ignacio I Wistuba, John D Minna, Kathryn A O'Donnell

Faculty, Staff and Student Publications

The integrated stress response (ISR) is an adaptive pathway hijacked by cancer cells to survive cellular stresses in the tumor microenvironment. ISR activation potently induces PD-L1, leading to suppression of antitumor immunity. In this study, we sought to uncover additional immune checkpoint proteins regulated by the ISR to elucidate mechanisms of tumor immune escape. The ISR coordinately induced cluster of differentiation 155 (CD155) and PD-L1, enhancing translation of both immune checkpoint proteins through bypass of inhibitory upstream open reading frames in their 5' untranslated regions. Analysis of primary human lung tumors identified a significant correlation between expression of PD-L1 and …

Met Pathway Inhibition Increases Chemo-Immunotherapy Efficacy In Small Cell Lung Cancer, Raúl Del Rey-Vergara, Miguel Alejandro Galindo-Campos, Pedro Rocha, Marina Carpes, Carlos Martínez, Laura Masfarré, Silvia Menéndez, Fabricio Quimis, Adrià Rossell, Albert Iñañez, Sandra Pérez-Buira, Federico Rojo, Ramon Gimeno, Dolores Isla, Jon Zugazagoitia, Cristina Martí Blanco, Rosario García-Campelo, Alberto Moreno-Vega, Luis León-Mateos, Ángel Callejo Mellén, Kwon-Sik Park, Simon Heeke, John V Heymach, Álvaro Taus, Luis Paz-Ares, Ana Rovira, Edurne Arriola

Faculty, Staff and Student Publications

The introduction of immunotherapy as a first-line treatment for advanced small cell lung cancer (SCLC) represents significant progress, yet there remains an opportunity to further improve patient outcomes. Hepatocyte growth factor (HGF) receptor (MET) pathway activation promotes epithelial-mesenchymal transition, driving chemoresistance and potentially impairing the efficacy of immunotherapy. In SCLC mouse models, adding MET inhibition to chemo-immunotherapy (anti-PD-L1) reduces tumor growth, extends survival, and reshapes the tumor microenvironment by decreasing suppressive myeloid cell infiltration and enhancing the immune response. Analysis of pretreatment human SCLC tumor samples reveals that myeloid-enriched immune infiltrates may contribute to chemo-immunotherapy resistance. Elevated serum HGF levels …

Genome-Wide Association Study For Lung Cancer In 6531 African Americans Reveals New Susceptibility Loci, Jinyoung Byun, Younghun Han, Jiyeon Choi, Ryan Sun, Vikram R Shaw, Catherine Zhu, Xiangjun Xiao, Christine Lusk, Hoda Badr, Hyun-Sung Lee, Hee-Jin Jang, Yafang Li, Hyeyeun Lim, Erping Long, Yanhong Liu, Linda Kachuri, Kyle M Walsh, John K Wiencke, Demetrius Albanes, Stephen Lam, Adonina Tardon, Marian L Neuhouser, Matt J Barnett, Chu Chen, Stig Bojesen, Hermann Brenner, Maria Teresa Landi, Mattias Johansson, Angela Risch, H-Erich Wichmann, Heike Bickeböller, David C Christiani, Gad Rennert, Susanne Arnold, John K Field, Sanjay Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil Caporaso, Fiona Taylor, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Alpa Patel, Xihong Lin, Krista A Zanetti, Curtis C Harris, Stephen Chanock, James Mckay, Ann G Schwartz, Rayjean J Hung, Christopher I Amos

Faculty, Staff and Student Publications

Despite lung cancer affecting all races and ethnicities, disparities are observed in incidence and mortality rates among different ethnic groups in the United States. Non-Hispanic African Americans had a high incidence rate of lung cancer at 55.8 per 100 000 people, as well as the highest death rate at 37.2 per 100 000 people from 2016 to 2020. While previous genome-wide association studies (GWAS) have identified over 45 susceptibility risk loci that influence lung cancer development, few GWAS have investigated the etiology of lung cancer in African Americans. To address this gap in knowledge, we conducted GWAS of lung cancer …

Tumour And Microenvironment Crosstalk In Nsclc Progression And Response To Therapy, Zahraa Rahal, Roy El Darzi, Seyed Javad Moghaddam, Tina Cascone, Humam Kadara

Faculty, Staff and Student Publications

The treatment landscape of non-small-cell lung cancer (NSCLC) is evolving rapidly, driven by advances in the development of targeted agents and immunotherapies. Despite this progress, some patients have suboptimal responses to treatment, highlighting the need for new therapeutic strategies. In the past decade, the important role of the tumour microenvironment (TME) in NSCLC progression, metastatic dissemination and response to treatment has become increasingly evident. Understanding the complexity of the TME and its interactions with NSCLC can propel efforts to improve current treatment modalities, overcome resistance and develop new treatments, which will ultimately improve the outcomes of patients. In this Review, …

Outcomes And Toxicity Following 3 Or More Definitive Courses Of Thoracic Radiation Therapy For Non-Small Cell Lung Cancer, Abigael Odwuor, Percy Lee, Joe Y Chang, Saumil Gandhi, Zhongxing Liao, Steven H Lin, Aileen Chen, Quynh-Nhu Nguyen, Michael S O'Reilly, Stephen G Chun, Julianna Bronk, David Qian, Matthew S Ning

Faculty, Staff and Student Publications

Purpose: Salvage re-irradiation is increasingly utilized to manage non-small cell lung cancer (NSCLC) locoregional recurrence or new lung primaries in previously treated areas. There is sparse information on efficacy and toxicity profile. We report a large experience of patients treated with multiple courses of definitive radiation for new and recurrent NSCLC.

Methods and materials: Medical records of patients who underwent ≥ 3 definitive thoracic radiation therapy (RT) courses for new or recurrent NSCLC at our cancer center from 2012 through 2021 were retrospectively reviewed following institutional review board approval. Toxicity was graded per Common Terminology Criteria for Adverse Events (CTCAE) …

Intratumoral Neutrophil-To-Lymphocyte Ratio Is Mirrored By Circulating Neutrophil-To-Lymphocyte Ratio In Non-Small Cell Lung Cancer, Kyle G Mitchell, Younghee Lee, Nathaniel Deboever, Marcelo V Negrao, Hai T Tran, Edwin Parra, Lauren Byers, Alexandre Reuben, Lorenzo Federico, Chantale Bernatchez, Jing Wang, Mara B Antonoff, Ara A Vaporciyan, Stephen G Swisher, Tina Cascone, Ignacio I Wistuba, John V Heymach, Don L Gibbons, Jianjun Zhang, Daniel J Mcgrail, Boris Sepesi, Cara L Haymaker

Faculty, Staff and Student Publications

Tumor-initiated emergency granulopoiesis results in expansion of the circulating neutrophil compartment and neutrophil recruitment into the tumor microenvironment (TME), which may in turn promote tumor progression. Although an elevated circulating neutrophil-to-lymphocyte ratio (cNLR) has repeatedly been demonstrated to be an adverse prognostic factor in patients with non-small cell lung cancer (NSCLC), whether this neutrophil expansion in circulation reflects a similar relative neutrophil abundance in the TME remains unclear. We sought to characterize the relationships between cNLR and the intratumoral neutrophil-to-lymphocyte ratio (tNLR), between tNLR and proteogenomic and immune features of NSCLC tumors, and between tNLR and prognosis.We analyzed tNLR (transcriptomic …

Spatial And Multiomics Analysis Of Human And Mouse Lung Adenocarcinoma Precursors Reveals Tim-3 As A Putative Target For Precancer Interception, Bo Zhu, Pingjun Chen, Muhammad Aminu, Jian-Rong Li, Junya Fujimoto, Yanhua Tian, Lingzhi Hong, Hong Chen, Xin Hu, Chenyang Li, Natalie Vokes, Andre L Moreira, Don L Gibbons, Luisa M Solis Soto, Edwin Roger Parra Cuentas, Ou Shi, Songhui Diao, Jie Ye, Frank R Rojas, Eduardo Vilar, Anirban Maitra, Ken Chen, Nicolas Navin, Monique Nilsson, Beibei Huang, Simon Heeke, Jianhua Zhang, Cara L Haymaker, Vamsidhar Velcheti, Daniel H Sterman, Veena Kochat, William I Padron, Ludmil B Alexandrov, Zhubo Wei, Xiuning Le, Linghua Wang, Junya Fukuoka, J Jack Lee, Ignacio I Wistuba, Harvey I Pass, Mark Davis, Samir Hanash, Chao Cheng, Steven Dubinett, Avrum Spira, Kunal Rai, Scott M Lippman, P Andrew Futreal, John V Heymach, Alexandre Reuben, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

How tumor microenvironment shapes lung adenocarcinoma (LUAD) precancer evolution remains poorly understood. Spatial immune profiling of 114 human LUAD and LUAD precursors reveals a progressive increase of adaptive response and a relative decrease of innate immune response as LUAD precursors progress. The immune evasion features align the immune response patterns at various stages. TIM-3-high features are enriched in LUAD precancers, which decrease in later stages. Furthermore, single-cell RNA sequencing (scRNA-seq) and spatial immune and transcriptomics profiling of LUAD and LUAD precursor specimens from 5 mouse models validate high TIM-3 features in LUAD precancers. In vivo TIM-3 blockade at precancer stage, …

Swi/Snf Atpase Silenced Hlf Potentiates Lung Metastasis In Solid Cancers, Jin Zhou, Austin Hepperla, Jeremy M Simon, Kangsan Kim, Qing Hu, Chuanhai Zhang, Lei Dong, Lianxin Hu, Cheng Zhang, Chengheng Liao, Alice Fang, Yayoi Adachi, Haoyong Fu, Tao Wang, Qian Liang, Fangzhou Zhao, Hongyi Liu, Masashi Takeda, Jun Fang, Hua Zhong, Peter Ly, Lu Wang, Payal Kapur, Lin Xu, Liwei Jia, Srinivas Malladi, James Brugarolas, M Celeste Simon, Bo Li, Qing Zhang

Faculty, Staff and Student Publications

Metastasis is the main cause of cancer-related deaths, yet the underlying mechanisms remain elusive. Here, using clear cell renal cell carcinoma (ccRCC), a tumor type with frequent lung metastases, we conduct an in vivo genome-wide CRISPR-Cas9 screen and identify HLF as a potent suppressor of lung metastasis. HLF depletion enhances ccRCC cell migration and lung metastasis, whereas HLF overexpression abrogates these effects. In ccRCC patients, HLF expression is reduced at metastatic sites and associates with epigenetic silencing mediated by the SWI/SNF ATPase subunit BRG1. HLF levels negatively correlate with migration potential in collagen. Mechanistically, HLF regulates LPXN expression, modulating the …

Hyaluronan Network Remodeling By Zeb1 And Itih2 Enhances The Motility And Invasiveness Of Cancer Cells, Sieun Lee, Jihye Park, Seongran Cho, Eun Ju Kim, Seonyeong Oh, Younseo Lee, Sungsoo Park, Keunsoo Kang, Dong Hoon Shin, Song Yi Ko, Jonathan M Kurie, Young-Ho Ahn

Faculty, Staff and Student Publications

Hyaluronan (HA) in the extracellular matrix promotes epithelial-mesenchymal transition (EMT) and metastasis; however, the mechanism by which the HA network constructed by cancer cells regulates cancer progression and metastasis in the tumor microenvironment (TME) remains largely unknown. In this study, inter-α-trypsin inhibitor heavy chain 2 (ITIH2), an HA-binding protein, was confirmed to be secreted from mesenchymal-like lung cancer cells when cocultured with cancer-associated fibroblasts. ITIH2 expression is transcriptionally upregulated by the EMT-inducing transcription factor ZEB1, along with HA synthase 2 (HAS2), which positively correlates with ZEB1 expression. Depletion of ITIH2 and HAS2 reduced HA matrix formation and the migration and …

Gsk-3484862, A Dnmt1 Degrader, Promotes Dnmt3b Expression In Lung Cancer Cells, Qin Chen, Swanand Hardikar, Kimie Kondo, Nan Dai, Ivan R Corrêa Jr, Meigen Yu, Marcos R Estecio, Xing Zhang, Taiping Chen, Xiaodong Cheng

Faculty, Staff and Student Publications

DNA methylation alterations, including hypermethylation and silencing of tumor suppressor genes, contribute to cancer formation and progression. The FDA-approved nucleoside analogs azacytidine and decitabine are effective demethylating agents for hematologic malignancies but their general use has been limited by their toxicity and ineffectiveness against solid tumors. GSK-3484862, a dicyanopyridine-containing, DNMT1-selective inhibitor and degrader, offers a promising lead for developing novel demethylating therapeutics. Here, we demonstrate that GSK-3484862 treatment upregulates DNMT3B expression in lung cancer cell lines (A549 and NCI-H1299). Disrupting DNMT3B in NCI-H1299 sensitizes these cells to GSK-3484862, enhancing its inhibitory effects on cell viability and growth. GSK-3484862 treatment induces …

The Lung Cancer Autochthonous Model Gene Expression Database Enables Cross-Study Comparisons Of The Transcriptomic Landscapes Across Mouse Models, Ling Cai, Fangjiang Wu, Qinbo Zhou, Ying Gao, Bo Yao, Ralph J Deberardinis, George K Acquaah-Mensah, Vassilis Aidinis, Jennifer E Beane, Shyam Biswal, Ting Chen, Carla P Concepcion-Crisol, Barbara M Grüner, Deshui Jia, Robert A Jones, Jonathan M Kurie, Min Gyu Lee, Per Lindahl, Yonathan Lissanu, Corina Lorz, David Macpherson, Rosanna Martinelli, Pawel K Mazur, Sarah A Mazzilli, Shinji Mii, Herwig P Moll, Roger A Moorehead, Edward E Morrisey, Sheng Rong Ng, Matthew G Oser, Arun R Pandiri, Charles A Powell, Giorgio Ramadori, Mirentxu Santos, Eric L Snyder, Rocio Sotillo, Kang-Yi Su, Tetsuro Taki, Kekoa Taparra, Phuoc T Tran, Yifeng Xia, J Edward Van Veen, Monte M Winslow, Guanghua Xiao, Charles M Rudin, Trudy G Oliver, Yang Xie, John D Minna

Faculty, Staff and Student Publications

Lung cancer, the leading cause of cancer mortality, exhibits diverse histological subtypes and genetic complexities. Numerous preclinical mouse models have been developed to study lung cancer, but data from these models are disparate, siloed, and difficult to compare in a centralized fashion. In this study, we established the Lung Cancer Autochthonous Model Gene Expression Database (LCAMGDB), an extensive repository of 1,354 samples from 77 transcriptomic datasets covering 974 samples from genetically engineered mouse models (GEMMs), 368 samples from carcinogen-induced models, and 12 samples from a spontaneous model. Meticulous curation and collaboration with data depositors produced a robust and comprehensive database, …

Discovery Of Novel, Potent, And Orally Bioavailable Smarca2 Proteolysis-Targeting Chimeras With Synergistic Antitumor Activity In Combination With Kirsten Rat Sarcoma Viral Oncogene Homologue G12c Inhibitors, Sasikumar Kotagiri, Yawen Wang, Yanyan Han, Xiaobing Liang, Nicholas Blazanin, Hira Mazhar, Manu Sebastian, Phuong Kieu Nguyen, Yongying Jiang, Yonathan Lissanu

Faculty, Staff and Student Publications

Cancer genomic studies have identified frequent mutations in subunits of the SWI/SNF chromatin remodeling complex, including SMARCA4 in nonsmall cell lung cancer with a frequency of up to 33% in advanced-stage disease, making it the most frequently mutated complex. We and others have identified SMARCA2 to be synthetic lethal to SMARCA4, indicating that SMARCA2 is a high-value therapeutic target. Here, we disclose the discovery and characterization of potent, selective, and orally bioavailable cereblon-based SMARCA2 PROTACs. Biochemically, we showed that YDR1 and YD54 are potent SMARCA2 degraders. Further, we showed the antitumor growth inhibitory activity of YDR1 and YD54 in SMARCA4 …

Using A Surgical Risk Predictor To Estimate Percutaneous Cryoablation Adverse Event Risk: A Single Center Comparative Analysis, Prisha Patel, Koustav Pal, Hadi Ahmed, Bill Tang, Iwan Paolucci, Mohammad Khavandi, Peiman Habibollahi, Ketan Shah, Steven Y Huang, Bruno C Odisio, Sanjay Gupta, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Alda Tam, Rahul A Sheth

Faculty, Staff and Student Publications

Objective: To evaluate the relevance of established surgical risk calculators for predicting complications in patients undergoing percutaneous lung cryoablation (PLC).

Methods: The institution's database was queried for PLC procedures from March 2015 to May 2024, excluding those patients with concomitant local therapies or five or more lesions treated in a single setting. Demographics, frailty metrics as defined by the surgical literature, and procedural variables were collected. To evaluate the suitability of surgical risk estimate calculators, the requisite demographic data were input into the American College of Surgery surgical risk calculator; estimates for length of stay (LOS), serious complications, 30-day readmission, …

Natural History Models For Lung Cancer: A Scoping Review, Renu Sara Nargund, Sayaka Ishizawa, Maryam Eghbalizarch, Paul Yeh, Seyyed Mostafa Mousavi Janbeh Saray, Sara Nofal, Yimin Geng, Pianpian Cao, Edwin J Ostrin, Rafael Meza, Martin C Tammemägi, Robert J Volk, Maria A Lopez-Olivo, Iakovos Toumazis

Faculty, Staff and Student Publications

Introduction: Natural history models (NHMs) of lung cancer (LC) simulate the disease's natural progression providing a baseline for assessing the impact of interventions. NHMs have been increasingly used to inform public health policies, highlighting their utility. The objective of this scoping review was to summarize existing LC NHMs, identify their limitations, and propose a framework for future NHM development.

Methods: We searched MEDLINE, Embase, Web of Science, and IEEE Xplore from their inception to October 5, 2023, for peer-reviewed, full-length articles with an LC NHM. Model characteristics, their applications, data sources used, and limitations were extracted and narratively synthesized.

Results: …

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …

Impact Of Comorbidities On The Mortality Benefits Of Lung Cancer Screening: A Post-Hoc Analysis Of The Plco And Nlst Trials, Sebastien Gendarme, Ehsan Irajizad, James P Long, Johannes F Fahrmann, Jennifer B Dennison, Seyyed Mahmood Ghasemi, Rongzhang Dou, Robert J Volk, Rafael Meza, Iakovos Toumazis, Florence Canoui-Poitrine, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

Objectives: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed tomography.

Methods: We developed a comorbidity index (Prostate, Lung, Colorectal, and Ovarian comorbidity index [PLCO-ci]) using LCS-eligible participants' data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts five-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated using the area under the receiver operating characteristics curve. In NLST, LC mortality (per original publication) was compared between low-dose computed tomography and chest radiograph arms across the PLCO-ci quintile …

Air Embolism After Percutaneous Lung Biopsy Or Ablation: A Report Of Six Cases, Rebecca Choi, Haylie Kieu-Mi Phan, Varshana Gurusamy, Rahul A Sheth, Bruno C Odisio, Kelvin Hong, Alda L Tam

Faculty, Staff and Student Publications

Systemic air embolism is a rare but potentially life-threatening complication of percutaneous lung biopsy and ablation. This report describes six patients (four male, two female) with air embolism following CT-guided lung interventions at two institutions between January 2021 and March 2024. Air embolisms were identified in locations such as the pulmonary vein, left ventricle, and coronary arteries, with clinical presentations ranging from asymptomatic to life-threatening events. Prompt intervention, including oxygen therapy, patient repositioning, and intravenous administration of epinephrine in cases of cardiac arrest, resulted in favorable outcomes. This series highlights the importance of early detection of systemic air embolism and …

Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung

Faculty, Staff and Student Publications

Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …

Lysyl Hydroxylase 2 Glucosylates Collagen Vi To Drive Lung Cancer Progression, Shike Wang, Houfu Guo, Reo Fukushima, Masahiko Terajima, Min Liu, Guan-Yu Xiao, Lenka Koudelková, Chao Wu, Xin Liu, Jiang Yu, Emma Burris, Jun Xu, Alvise Schiavinato, William K Russell, Mitsuo Yamauchi, Xiaochao Tan, Jonathan M Kurie

Faculty, Staff and Student Publications

Lysyl hydroxylase 2 (LH2) is highly expressed in multiple tumor types and accelerates disease progression by hydroxylating lysine residues on fibrillar collagen telopeptides to generate stable collagen cross links in tumor stroma. Here, we show that a galactosylhydroxylysyl glucosyltransferase (GGT) domain on LH2-modified type-VI collagen (Col6) to promote lung adenocarcinoma (LUAD) growth and metastasis. In tumors generated by LUAD cells lacking LH2 GGT domain activity, stroma was less stiff, and stable types of collagen cross links were reduced. Mass spectrometric analysis of total and glycosylated peptides in parental and GGT-inactive tumor samples identified Col6 chain α3 (Col6a3), a component of …

Lesion Classification By Model-Based Feature Extraction: A Differential Affine Invariant Model Of Soft Tissue Elasticity In Ct Images, Weiguo Cao, Marc J Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F Abbasi, Perry J Pickhardt

Faculty, Staff and Student Publications

The elasticity of soft tissues has been widely considered a characteristic property for differentiation of healthy and lesions and, therefore, motivated the development of several elasticity imaging modalities, for example, ultrasound elastography, magnetic resonance elastography, and optical coherence elastography to directly measure the tissue elasticity. This paper proposes an alternative approach of modeling the elasticity for prior knowledge-based extraction of tissue elastic characteristic features for machine learning (ML) lesion classification using computed tomography (CT) imaging modality. The model describes a dynamic non-rigid (or elastic) soft tissue deformation in differential manifold to mimic the tissues’ elasticity under wave fluctuation in vivo. …

Receptor Tyrosine Kinase Fusion-Mediated Resistance To Egfr Tki In Egfr-Mutant Nsclc: A Multi-Center Analysis And Literature Review, Yang Xia, Kaiwen Wang, Jing Zhao, Zhaohui Arter, Yongchang Zhang, Jiaqi Zhou, Yuefei Lu, Liang Zeng, Robyn Du, Jennifer A Owens, Yasir Y Elamin, Carl M Gay, Ferdinandos Skoulidis, Anne S Tsao, Charles Lu, Tina Cascone, Don L Gibbons, Jianjun Zhang, Olivia Chen, Kevin K S Mok, Misako Nagasaka, Wen Li, John V Heymach, Sai-Hong Ignatius Ou, Molly Li, Xiuning Le

Faculty, Staff and Student Publications

Introduction: Drug resistance remains a major clinical challenge in EGFR-mutant NSCLC tumors owing to pathway reactivation, pathway bypass, and pathway indifference resistance mechanisms to evade tyrosine kinase inhibitor (TKI) suppression. Fusion of receptor tyrosine kinases (RTKs), such as RET, ALK, and FGFR3, has been reported to mediate EGFR TKI resistance. Given the rarity of these fusions and the heterogeneous nature of the condition, no prospective clinical trials evaluated the incidence, safety, and therapeutic benefit of dual EGFR-RTK inhibition.

Methods: We queried clinical databases from multiple institutions to identify patients who had RTK fusions detected on next-generation sequencing testing results from …

Cigarette Smoke Induces Angiogenic Activation In The Cancer Field Through Dysregulation Of An Endothelial Microrna, Asawari Korde, Anuradha Ramaswamy, Seth Anderson, Lei Jin, Jian-Ge Zhang, Buqu Hu, Walter V Velasco, Lixia Diao, Jing Wang, Margaret A Pisani, Maor Sauler, Daniel J Boffa, Jonathan T Puchalski, Xiting Yan, Seyed Javad Moghaddam, Shervin S Takyar

Faculty, Staff and Student Publications

Cigarette smoke (CS) creates a "cancer field" in the lung that promotes malignant transformation. The molecular changes within this field are not fully characterized. We examined the significance of microRNA-1 (miR-1) downregulation as one of these changes. We found that tumor miR-1 levels in three non-small cell lung cancer cohorts show inverse correlations with the smoking burden. Lung MiR-1 levels follow a spatial gradient, have prognostic significance, and correlate inversely with the molecular markers of injury. In CS-exposed lungs, miR-1 is specifically downregulated in the endothelium. Exposure to CS induces angiogenesis by selectively degrading mature miR-1 via a vascular endothelial …

Impact Of Co-Mutations And Transcriptional Signatures In Non-Small Cell Lung Cancer Patients Treated With Adagrasib In The Krystal-1 Trial, Marcelo V Negrao, Alvaro G Paula, David Molkentine, Laura Hover, Monique Nilsson, Natalie Vokes, Lars Engstrom, Andrew Calinisan, David M Briere, Laura Waters, Jill Hallin, Lixia Diao, Mehmet Altan, George R Blumenschein, Ferdinandos Skoulidis, Jing Wang, Scott E Kopetz, David S Hong, Don L Gibbons, Peter Olson, James G Christensen, John V Heymach

Faculty, Staff and Student Publications

Purpose: KRAS inhibitors are revolutionizing the treatment of non-small cell lung cancer (NSCLC), but clinico-genomic determinants of treatment efficacy warrant continued exploration.

Experimental design: Patients with advanced KRASG12C-mutant NSCLC treated with adagrasib [KRYSTAL-1 (NCT03785249)] were included in the analysis. Pretreatment next-generation sequencing data were collected per protocol. HTG EdgeSeq Transcriptome Panel was used for gene expression profiling. Clinical endpoints included objective response, progression-free survival (PFS), and overall survival (OS). KRASG12C-mutant NSCLC cell lines and xenograft models were used for sensitivity analyses and combination drug screens.

Results: KEAP1 MUT and STK11MUT were associated with shorter survival to adagrasib [KEAP1: …

Incidence And Correlates Of High-Grade Chemotherapy-Induced Peripheral Neuropathy In Patients With Lung Cancer, Mitchell S Von Itzstein, Sawsan Rashdan, Suzanne E Dahlberg, David E Gerber, Alan B Sandler, Joan H Schiller, David H Johnson, Yating Wang, Zhuoxin Sun, Suresh S Ramalingam

Faculty, Staff and Student Publications

Background: High-grade chemotherapy-induced peripheral neuropathy (CIPN) represents a dreaded toxicity of cancer treatments. In some cases, it may limit activities of daily living and become permanent. Because many prior studies of CIPN were conducted in breast cancer populations, less is known about CIPN in men. We therefore determined the incidence and correlates of high-grade CIPN in a large cohort of patients with lung cancer.

Methods: We collected data from the ECOG-ACRIN E1594 (comparison of 4 chemotherapy regimens: cisplatin-paclitaxel, cisplatin-gemcitabine, cisplatin-docetaxel, carboplatin-paclitaxel) and E4599 (carboplatin-paclitaxel ± concurrent and maintenance bevacizumab) clinical trials. We identified cases with grade ≥3 CIPN. Multivariable logistic …

Evaluating Predictors Of Kinase Activity Of Stk11 Variants Identified In Primary Human Non-Small Cell Lung Cancers, Yile Chen, Kyoungyeul Lee, Junwoo Woo, Dong-Wook Kim, Changwon Keum, Giulia Babbi, Rita Casadio, Pier Luigi Martelli, Castrense Savojardo, Matteo Manfredi, Yang Shen, Yuanfei Sun, Panagiotis Katsonis, Olivier Lichtarge, Vikas Pejaver, David J Seward, Akash Kamandula, Constantina Bakolitsa, Steven E Brenner, Predrag Radivojac, Anne O'Donnell-Luria, Sean D Mooney, Shantanu Jain

Faculty, Staff and Students Publications

Critical evaluation of computational tools for predicting variant effects is important considering their increased use in disease diagnosis and driving molecular discoveries. In the sixth edition of the Critical Assessment of Genome Interpretation (CAGI) challenge, a dataset of 28 STK11 rare variants (27 missense, 1 single amino acid deletion), identified in primary non-small cell lung cancer biopsies, was experimentally assayed to characterize computational methods from four participating teams and five publicly available tools. Predictors demonstrated a high level of performance on key evaluation metrics, measuring correlation with the assay outputs and separating loss-of-function (LoF) variants from wildtype-like (WT-like) variants. The …