Biomedical Informatics Commons^™

Poziotinib For Egfr Exon 20-Insertion Nsclc: Clinical Efficacy Of The Phase 2 Zenith Trial And Differential Impact Of Egfr Exon 20 Insertion Location On Sensitivity, Xiuning Le, Jacqulyne P Robichaux, Monique Nilsson, R S K Vijayan, Ashwin Ravichandran, Jia Wu, Yasir Y Elamin, Lingzhi Hong, Jun Pei, Jun He, Sonia Patel, Hibiki Udagawa, Sriramvignesh Mani, Chang Woon Jang, Jeffrey M Clarke, Nishan Tchekmedyian, Jonathan W Goldman, Mark Socinski, Gajanan Bhat, Sharon Leu, Veronica Bunn, Zhenqiang Su, Sylvie Vincent, John W Lawson, Jason B Cross, John V Heymach

Faculty, Staff and Student Publications

EGFRex20 insertions (EGFRex20ins) can be classified as near- and far-loop based on the insertion location, however, the impact of location on responses to various EGFR tyrosine kinase inhibitors (TKIs) is poorly understood. In vitro studies show that afatinib, poziotinib, and zipalertinib more potently inhibited near-loop than far-loop insertions, whereas mobocertinib has similar IC50 in both groups. Molecular dynamics simulations reveal that near-loop insertions have multiple conformational states and lower transitional energy than far-loop insertions. ZENITH20 trial cohort 1 (NCT03318939) evaluates poziotinib in EGFRex20 NSCLC patients (n = 115) and demonstrates an objective response rate of 14.8% (95% Confidence …

Setd2 Suppresses Tumorigenesis In A Krasg12c-Driven Lung Cancer Model, And Its Catalytic Activity Is Regulated By Histone Acetylation, Ricardo J Mack, Natasha M Flores, Geoffrey C Fox, Hanyang Dong, Metehan Cebeci, Simone Hausmann, Tourkian Chasan, Jill M Dowen, Brian D Strahl, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

Histone H3 trimethylation at lysine 36 (H3K36me3) is a key chromatin modification that regulates fundamental physiological and pathological processes. In humans, SETD2 is the only known enzyme that catalyzes H3K36me3 in somatic cells and is implicated in tumor suppression across multiple cancer types. While there is considerable crosstalk between the SETD2-H3K36me3 axis and other epigenetic modifications, much remains to be understood. Here, we show that Setd2 functions as a potent tumor suppressor in a KRASG12C-driven lung adenocarcinoma (LUAD) mouse model, and that acetylation enhances SETD2 in vitro methylation of H3K36 on nucleosome substrates. In vivo, Setd2 ablation accelerates lethality in …

Targeting Aldh16a1 Mediated Thioredoxin Lysosomal Degradation To Enhance Ferroptosis Susceptibility In Smarca4-Deficient Nsclc, Guoshu Bi, Jiaqi Liang, Yunyi Bian, Guangyao Shan, Shencheng Ren, Haochun Shi, Xiaolong Huang, Junkan Zhu, Qun Wang, Wei Jiang, Boyi Gan, Cheng Zhan

Faculty, Staff and Student Publications

Ferroptosis, an iron-dependent form of cell death, holds promise for cancer therapy. However, the intricate link between ferroptosis and oncogenic mutations remains unclear. Here we show that SMARCA4, a well-established tumour suppressor whose deficiency is associated with poor prognosis and resistance to treatments, sensitizes non-small cell lung cancer (NSCLC) cells to ferroptosis. Mechanistically, SMARCA4 promotes chromatin accessibility and expression of ALDH16A1. Surprisingly, ALDH16A1 lacks ALDH enzymatic activity, but binds to the anti-ferroptotic oxidoreductase thioredoxin (TXN), facilitating its translocation to the lysosome and subsequent degradation. Meanwhile, ALDH16A1 directly inhibits TXN's oxidoreductase function by occluding its active site. We also show that …

Risk Of Second Primary Lung Cancer Among Cancer Survivors Stratified By The Site Of First Primary Cancer And The Lung Cancer Screening Eligibility Status, Sara Nofal, Edwin J Ostrin, Jianjun Zhang, Jia Wu, Paul Scheet, Mara B Antonoff, John V Heymach, Iakovos Toumazis

Faculty, Staff and Student Publications

Personal history of cancer is an independent risk factor for developing lung cancer. However, it is not considered in the current US lung cancer screening (LCS) guidelines. In this study, we assessed the risk of developing lung cancer among cancer survivors across 24 different sites of first primary cancer stratified by their LCS eligibility status. Using data from the Patient History Database at the University of Texas MD Anderson Cancer Center, we calculated and compared the cumulative incidence of second primary lung cancer, the overall and the LCS eligibility status-specific, stratified by the site of first primary cancer among cancer …

Dna Methylation Cooperates With Genomic Alterations During Non-Small Cell Lung Cancer Evolution, Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose Cadieux, Nana E Mensah, Xiaohong Liu, Kezhong Chen, Olga Chervova, Takahiro Karasaki, Clare E Weeden, Corentin Richard, Siqi Lai, Carlos Martínez-Ruiz, Emilia L Lim, Alexander M Frankell, Thomas B K Watkins, Georgia Stavrou, Ieva Usaite, Wei-Ting Lu, Daniele Marinelli, Sadegh Saghafinia, Gareth A Wilson, Pawan Dhami, Heli Vaikkinen, Jonathan Steif, Selvaraju Veeriah, Robert E Hynds, Martin Hirst, Crispin Hiley, Andrew Feber, Özgen Deniz, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Tracerx Consortium, Stephan Beck, Jonas Demeulemeester, Miljana Tanić, Charles Swanton, Peter Van Loo, Nnennaya Kanu

Faculty, Staff and Student Publications

Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data. Intratumoral methylation distance quantifies intratumor DNA methylation heterogeneity. MR/MN classifies genes based on the rate of hypermethylation at regulatory (MR) versus nonregulatory (MN) CpGs to identify driver genes exhibiting recurrent functional …

Prolonging Lung Cancer Response To Egfr Inhibition By Targeting The Selective Advantage Of Resistant Cells, Lisa Brunet, David Alexandre, Jiyoung Lee, Maria Del Mar Blanquer-Rosselló, David Bracquemond, Alexis Guernet, Houssein Chhouri, Mathilde Goupil, Zoulika Kherrouche, Arnaud Arabo, Maicol Mancini, Dorthe Cartier, Shen Yao, David Godefroy, Julie Dehedin, Jian-Rong Li, Céline Duparc, Philippe Jamme, Audrey Vinchent, Caroline Bérard, David Tulasne, Sabrina Arena, Alberto Bardelli, Chao Cheng, Byoung Chul Cho, Olivier Wurtz, Cédric Coulouarn, Antonio Maraver, Stuart A Aaronson, Alexis B Cortot, Youssef Anouar, Luca Grumolato

Faculty, Staff and Students Publications

Non-small cell lung cancers (NSCLCs) treated with tyrosine kinase inhibitors (TKIs) of the epidermal growth factor receptor (EGFR) almost invariably relapse in the long term, due to the emergence of subpopulations of resistant cells. Through a DNA barcoding approach, we show that the clinically approved drug sorafenib specifically abolishes the selective advantage of EGFR-TKI-resistant cells, while preserving the response of EGFR-TKI-sensitive cells. Sorafenib is active against multiple mechanisms of resistance/tolerance to EGFR-TKIs and its effects depend on early inhibition of MAPK-interacting kinase (MKNK) activity and signal transducer and activator of transcription 3 (STAT3) phosphorylation, and later down-regulation of MCL1 and …

Multidimensional Analysis Of B7 Homolog 3 Rna Expression In Small Cell Lung Cancer Molecular Subtypes, Carl M Gay, Taofeek K Owonikoko, Lauren A Byers, Noura J Choudhury, Sajid Ahmed, Zachary Cain, Xiaozhong Qian, Matthew Brentnall, Simon Heeke, Ming Poi, Sharon Wu, Charles M Rudin

Faculty, Staff and Student Publications

Purpose: B7 homolog 3 (B7-H3) is a promising target for antibody-drug conjugates, with ifinatamab deruxtecan demonstrating an objective response rate of 54.8% in previously treated extensive-stage small cell lung cancer (SCLC). This analysis aimed to characterize B7-H3 RNA expression with reference to SCLC molecular subtypes (SCLC-A, SCLC-N, SCLC-P, and SCLC-I) and immune-related parameters.

Experimental design: Tumor RNA expression and mutational burden for 1,721 patients with SCLC were derived from a real-world database (Caris Life Sciences). A predominant molecular subtype was assigned based on RNA expression using a gene-ratio classifier. PD-L1 expression was assessed by IHC (antibody 22C3; positive cutoff: tumor …

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 …

A Comparative Study Of Recent Large Language Models On Generating Hospital Discharge Summaries For Lung Cancer Patients, Yiming Li, Fang Li, Na Hong, Manqi Li, Kirk Roberts, Licong Cui, Cui Tao, Hua Xu

Faculty, Staff and Student Publications

Objective: Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care. Recent advancements in large language models (LLMs) have significantly enhanced their capability in understanding and summarizing complex medical texts. This research aims to explore how LLMs can alleviate the burden of manual summarization, streamline workflow efficiencies, and support informed decision-making in healthcare settings.

Materials and methods: Clinical notes from a cohort of 1,099 lung cancer patients were utilized, with a subset of 50 patients for testing purposes, and 102 patients used for model fine-tuning. This study …

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 …

Gene Expression In Tumor And Adjacent Normal Tissues In Lung Adenocarcinoma Subtypes, Olga Y Gorlova, Ivan P Gorlov, R Taylor Ripley, Chao Cheng, Yafang Li, Bo Peng, Yanhong Liu, Hee-Jin Jang, Sung Wook Kang, Claire Lee, Priyanka Ranchod, Bryan M Burt, Hyun-Sung Lee, Christopher I Amos

Faculty, Staff and Students Publications

Background: Lung adenocarcinoma (LUAD) has several histologically distinct subtypes that differ by a number of clinical features including patient survival. Molecular mechanisms underlying histological and clinical differences between subtypes remain poorly understood.

Methods: We conducted a comparative analyses of gene expression in acinar, lepidic, papillary and solid subtypes, as well as mucinous adenocarcinoma. We used a novel, more efficient approach to identify subtype-specific genes. We compared the mean gene expression level separately for tumors and adjacent normal tissue with pure or a highly represented (≥ 75%) subtype of interest to the mean expression in tumors where the subtype of interest …

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 …

Mutation Of Smarca4 Induces Cancer Cell-Intrinsic Defects In The Enhancer Landscape And Resistance To Immunotherapy, Yawen Wang, Ismail M Meraz, Md Qudratullah, Sasikumar Kotagiri, Yanyan Han, Yuanxin Xi, Jing Wang, Kadir C Akdemir, Jack A Roth, Yonathan Lissanu

Faculty, Staff and Student Publications

Cancer genomic studies have identified frequent alterations in genes encoding components of the SWI/SNF chromatin remodeling complex, including SMARCA4 and ARID1A. Importantly, clinical reports indicate that SMARCA4-mutant lung cancers respond poorly to immunotherapy and have dismal prognosis. In this study, we corroborated the clinical findings by using immune-humanized, syngeneic, and genetically engineered mouse models of lung cancer harboring SMARCA4 deficiency. Specifically, models with SMARCA4 loss showed decreased response to anti-PD-1 immunotherapy associated with significantly reduced infiltration of dendritic cells and CD4+ T cells into the tumor microenvironment. SMARCA4 loss in tumor cells led to profound downregulation of STING1, IL1β, and …

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 …