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      Ehsan Irajizad Image

      Ehsan Irajizad, Ph.D.

      Department of Biostatistics, Division of Division of Discovery Science

      About Dr. Ehsan Irajizad

      My research focus is on 1) the application of machine learning approaches and artificial intelligence to large data matrices to identify and establish biomarkers for early detection and risk assessment of cancer, and 2) the development of novel methodologies and algorithms that can be applied to mass spectrometry data to discover novel features, improve detection accuracy and reduce false discovery rate.

      Read More

      Present Title & Affiliation

      Primary Appointment

      Assistant Professor, Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Dual/Joint/Adjunct Appointment

      Assistant Professor, Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

      Research Interests

      1)   Development of biomarker models for early detection and risk assessment of cancer: Through collaboration with Dr. Hanash, I have been directly involved in the development of biomarker panels that offer potential utility for early detection and risk assessment of cancer. These efforts have resulted in 4 Intellectual Properties (IPs) filing. My involvement in these projects range from study design, to biomarker discovery and biomarker panel modeling that includes common approaches such as logistic regression as well as advanced machine learning algorithms. Seminal findings of these works to-date include identification of risk markers for pancreatic cancer, metabolite markers for breast cancer progression, markers for risk assessment of ovarian cancer, and markers for aggressive prostate cancer which were published in high impact journals including Gastroenterology, The Journal of the National Cancer Institute, Nature Communications, and Cancers where I was the analytical author/co-author in these studies. In addition, I am a co-first author for a recently accepted manuscript in Journal of Clinical Oncologythat establishes the utility of a 4-marker protein panel in combination with the smoking model for risk assessment of lung cancer. In addition to these efforts, I have been heavily involved in writing statistical support for several grant applications including two funded grants and 5 pending applications. Funded grants aim to identify biomarkers for distinguishing high-grade versus low-grand IPMN cyst in pancreatic cancer and biomarkers for nodule risk determination in lung cancer.

      2)    General Framework for Clinicians to Generate Reliable, Reproducible, and Transparent Results:I am an active collaborator with Dr. Bin Yu (Departments of Statistics, Berkeley University) and Dr. Ziding Feng (Departments of Statistics, Fred Hutch) as part of the Veridical Data Science project. The aim of this project is to develop a general framework for clinicians and researchers to generate reliable, reproducible and transparent results in data science. The three primary components of this framework are predictability, computability and stability (PCS). My specific involvement is towards the development of a work flow, following aforementioned components, that can be readily applied by clinicians and researchers for translating and disseminating data findings to the larger scientific community. 

      3)   Pipeline to Reduce False Discovery Rate in Mass Spectrometry Data:Mass spectrometry is a powerful approach for comprehensive assessment of proteins and metabolomics. A single mass spectrometry analysis on a biological sample (e.g. plasma) can create millions of spectra. Annotation of these spectra typically involves searching the produced spectra against an established database; however, these are prone to false-positives. Thus, novel pipelines to reduce the false discovery rate in mass spectrometry-derived data is a necessity. In collaboration with Dr. Hanash group, I have developed a novel method that implement false discovery correction concept into the mass spectrometry searching pipelines and it calculates the minimum number of matching id’sneeded per protein to have a correct estimate of biological features. The corresponding method paper is under preparation.

      Education & Training

      Degree-Granting Education

      2018University of Houston, Houston, Texas, US, Computational Biology, Ph.D
      2014Sharif University of Technology, Tehran, IR, Industrial Engineering, BS
      2014Sharif University of Technology, Tehran, IR, Aerospace Engineering, BS

      Postgraduate Training

      2019-2021Research Fellowship, Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas

      Experience & Service

      Administrative Appointments/Responsibilities

      President of Postdoctoral Association, Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, 2019 - 2020

      Other Professional Positions

      Data Scientist, The University of Texas MD Anderson Cancer Center, Houston, TX, 2021 - 2022

      Intramural Institutional Committee Activities

      Biostatistician, Institutional Review Board, University of Texas MD Anderson Cancer Center, 2025 - Present

      Extramural Institutional Committee Activities

      Biostatistical Advisor, Scientific Review Committee, The University of Texas MD Anderson Cancer Center, 2023 - 2023

      Biostatistical Reviewer, Scientific Review Committee 3, The University of Texas MD Anderson Cancer Center, 2022 - Present

      Data Science Member, Electronic Lab Notebook, The University of Texas MD Anderson Cancer Center, 2019 - 2019

      Selected Presentations & Talks

      National Presentations

      1. Association between plasma diacetylspermine and tumor spermine synthase with outcome in triple negative breast cancer. Conference. Association between plasma diacetylspermine and tumor spermine synthase with outcome in triple negative breast cancer, US.
      2. A Bayesian confidence metric for proteomic investigations of mixed human and mouse specimens. Conference. A Bayesian confidence metric for proteomic investigations of mixed human and mouse specimens, US.
      3. Beans to Enrich the Gut microbiome vs. Obesity's Negative Effects: First results from the BE GONE Trial in high-risk colorectal patients. Conference. Beans to Enrich the Gut microbiome vs. Obesity's Negative Effects: First results from the BE GONE Trial in high-risk colorectal patients, US.
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      Grant & Contract Support

      Date: 2026 - 2029
      Title:FIRE-AML: A Longitudinal, Machine Learning-Based Framework of Inflammation Driving Relapse and Early Mortality in AML
      Funding Source:CPRIT
      Role:PI
      ID:RP260327
      Date: 2025 - 2029
      Title:Blood-based metabolite biomarkers for individualized risk assessment of breast and ovarian cancer
      Funding Source:NIH
      Role:PI
      Date: 2025 - 2027
      Title:Circulating microbial- and host-derived metabolite signatures for 5-year risk prediction of colorectal cancer
      Funding Source:NIH
      Role:PI
      Date: 2025 - 2030
      Title:Regulation of Mitochondrial Respiration in Diabetic Kidney Disease
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:Co-I
      ID:R01DK142664
      Date: 2025 - 2030
      Title:Deregulation of Sulfatide Synthesis in the Development and Progression of Pancreatic Cancer Precursor Lesions
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:Biostatistician
      ID:GRANT14165937
      Date: 2025 - 2027
      Title:Citrullinated Peptides as Breast Cancer Vaccine
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:Biostatistician
      ID:GRANT14155844
      Date: 2025 - 2029
      Title:Molecular Mechanisms of Dietary Immune Modulation and Intestinal Hyperpermeability
      Funding Source:CANCER PREVENTION RESEARCH INST OF TX
      Role:Co-I
      ID:#TBA
      Date: 2025 - 2029
      Title:Blood based biomarkers to guide clinical decision making with indeterminate pulmonary nodules
      Funding Source:CANCER PREVENTION RESEARCH INST OF TX
      Role:Co-I
      ID:#TBA
      Date: 2025 - 2028
      Title:RP250217 A Blood-Based Metabolite Panel for Individualized Risk Assessment of Breast Cancer
      Funding Source:CANCER PREVENTION RESEARCH INST OF TX
      Role:PD/PI
      ID:#TBA
      Date: 2025 - 2028
      Title:Deregulation of Sulfatide Synthesis in the Development and Progression of Pancreatic Cancer Precursor Lesions
      Funding Source:CANCER PREVENTION RESEARCH INST OF TX
      Role:Biostatistician
      ID:RP250058
      Date: 2024 - 2027
      Title:Validation of blood-based biomarkers for risk assessment of lung cancer among individuals with no smoking history in the PLCO Cohort
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:PD/PI
      ID:1U01CA295902-01
      Date: 2024 - 2029
      Title:A Blood-Based Metabolite Panel for Individualized Risk Assessment of Breast Cancer
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:PD/PI
      ID:PA-20-185
      Date: 2024 - 2026
      Title:Citrullinated Peptides as Breast Cancer Vaccine
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:Biostatician
      ID:1R21CA290277-01
      Date: 2024 - 2028
      Title:Pediatric Bone Sarcoma (PBS) centric target and immune therapy discovery
      Funding Source:CANCER PREVENTION RESEARCH INST OF TX
      Role:Biostatistician
      ID:RP240440
      Date: 2024 - 2026
      Title:An ethical, equitable, and explainable (3E) multimodal AI algorithm to assess the risk of harboring and developing breast cancer
      Funding Source:NATIONAL INSTITUTES OF HEALTH
      Role:PD/PI
      ID:OTA0000055103
      Date: 2024 - 2029
      Title:Deregulation of Sulfatide Synthesis in the Development and Progression of Pancreatic Cancer Precursor Lesions
      Funding Source:NIH/NCI
      Role:Biostatistician
      ID:1R01CA278948-01A1
      Date: 2024 - 2029
      Title:Integrated quantitative imaging, metabolomics, and pathomics to discern early local and systemic effects of pancreatic cancer subtypes for risk assessment and early detection
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R01CA281899-01A1
      Date: 2024 - 2029
      Title:Applying artificial intelligence to blood-based protein biomarker profiles for risk assessment and early detection of colorectal cancer
      Funding Source:NIH/NCI
      Role:PI
      ID:1 R01 CA288644-01
      Date: 2024 - 2025
      Title:Application of artificial intelligence to circulating protein biomarkers for early detection of ovarian cancer
      Funding Source:The Honorable Tina Brozman Foundation for Ovarian Cancer Research
      Role:PI
      ID:#tba
      Date: 2023 - 2025
      Title:Mobile symptom assessment for cervical cancer patients in Zambia
      Funding Source:The Fund for Innovation in Cancer Informatics (ICI)
      Role:Co-PI
      ID:#TBA
      Date: 2023 - 2024
      Title:Early Breast Cancer Detection Using a Novel Plasmonic Nano-Aperture Label-Free Imaging (PANORAMA) Technique
      Funding Source:BREAST CANCER RESEARCH FOUNDATION
      Role:Statistician
      ID:2023BCRF00AAP0000248236
      Date: 2023 - 2025
      Title:A Blood-Based Metabolite Panel for Individualized Risk Assessment of Breast Cancer
      Funding Source:BREAST CANCER RESEARCH FOUNDATION
      Role:Biostatistician
      ID:1068424
      Date: 2023 - 2028
      Title:Blood-Based Biomarkers for Personalized Risk Assessment of Breast and Ovarian Cancer
      Funding Source:NIH/NCI
      Role:Co-I
      ID:U01CA282216
      Date: 2023 - 2026
      Title:LC220417 Improving lung cancer screening through blood-based biomarkers
      Funding Source:Department of Defense (DOD)
      Role:Co-I
      ID:LC220417
      Date: 2023 - 2024
      Title:Proteomics Operational Moonshot
      Funding Source:UT MD Anderson Cancer Center, Moon Shots
      Role:Biostatistician
      ID:N/A
      Date: 2023 - 2028
      Title:A composite biomarker and radiomic score for risk stratification of indeterminate pulmonary nodules
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R01CA281896-01
      Date: 2023 - 2028
      Title:Kynureninase and NRF2 activation in lung cancer leads to tumoral immunosuppression and poorer outcome
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R01CA266507-01A1
      Date: 2023 - 2028
      Title:Integrated quantitative imaging, metabolomics, and pathomics to discern early local and systemic effects of pancreatic cancer subtypes for risk assessment and early detection
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R01CA281899-01
      Date: 2023 - 2025
      Title:Omic biomarkers for enriching trial design in bronchiolitis obliterans syndrome after hematopoietic cell transplant
      Funding Source:Stanford University
      Role:Co-I
      ID:FP17926
      Date: 2023 - 2028
      Title:Repurposing Glucosylceramide Synthase to Promote Mitochondrial Lethality and Potentiate an Anti-Tumor Immune Response in Triple-Negative Breast Cancer
      Funding Source:NIH/NCI
      Role:Biostatistician
      ID:1R37CA269611-01A1
      Date: 2023 - 2028
      Title:Deregulation of Sulfatide Synthesis in the Development and Progression of Pancreatic Cancer Precursor Lesions
      Funding Source:NIH/NCI
      Role:Biostatistician
      ID:1R01CA278948-01
      Date: 2023 - 2028
      Title:Blood based biomarkers to complement and expand low-dose CT screening for lung cancer
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R01CA269518-01A1
      Date: 2023 - 2028
      Title:Metabolite Based Biomarkers for Risk Assessment of Breast and Ovarian Cancer
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1U2CCA271866-01A1
      Date: 2023 - 2027
      Title:Blood based biomarkers to complement and expand low-dose CT screening for lung cancer
      Funding Source:Cancer Prevention & Research Institute of Texas (CPRIT)
      Role:Co-I
      ID:RP230201
      Date: 2022 - 2027
      Title:Personalized ovarian cancer risk assessment based on biomarker profile
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1U01CA276138-01
      Date: 2022 - 2027
      Title:Repurposing glucosylceramide synthase to promote mitochondrial lethality and potentiate an anti-tumor immune response in triple-negative breast cancer
      Funding Source:Department of Defense (DOD)
      Role:Biostatistician
      ID:#TBA
      Date: 2022 - 2024
      Title:A multi-analyte blood-based biomarker panel for early detection of ovarian cancer
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R21CA277335-01
      Date: 2022 - 2024
      Title:Early Breast Cancer Detection Using a Novel Plasmonic Nano-Aperture Label-Free Imaging (PANORAMA) Technique
      Funding Source:BREAST CANCER RESEARCH FOUNDATION
      Role:Statistician
      ID:BCF-22-189
      Date: 2022 - 2027
      Title:Clinical Validation Center for Early Detection of Pancreatic Cancer
      Funding Source:NIH/NCI
      Role:Computational Scientist
      ID:2U01CA200468-06
      Date: 2022 - 2027
      Title:Clinical Validation Center for Lung Cancer Early Detection
      Funding Source:NIH/NCI
      Role:Biostatistician
      ID:1U01CA271888-01
      Date: 2022 - 2023
      Title:Lung Expanding Reach Moonshot
      Funding Source:UT MD Anderson Cancer Center Moon Shot Program
      Role:Collaborator
      ID:710499-30-124993-21
      Date: 2021 - 2022
      Title:Lung Moonshot
      Funding Source:MDA Moonshot Program
      Role:Statistician
      ID:710499-80-123136-21
      Date: 2021 - 2022
      Title:BCL-Microbiome Moonshot
      Funding Source:MDA Moonshot Program
      Role:Statistician
      ID:710499-30-123963-21
      Date: 2021 - 2026
      Title:Longitudinal Proteomic and Metabolomic Predictors of Pancreatic Cyst Malignant Progression and Early-Stage Pancreatic Cancer
      Funding Source:NIH/NCI
      Role:Biostatistician
      ID:5U01CA239522-02
      Date: 2020 - 2022
      Title:Identifying Actionable Signatures of Duodenopancreatic Neuroendocrine Tumor Progression in MEN1
      Funding Source:NIH/NCI
      Role:Co-I
      ID:1R21CA252426-01
      Date: 2019 - 2022
      Title:McKee Early Career Investigator in Pancreatic Cancer Research
      Funding Source:UT MD Anderson Cancer Center Moon Shot Program
      Role:Biostatistician
      ID:710550-80-122400-19
      Date: 2017 - 2023
      Title:BE GONE Trial: Beans to Enrich the Gut of Obese Colorectal Cancer Survivors
      Funding Source:American Cancer Society (ACS)
      Role:Biostatistician
      ID:FP00000361

      Selected Publications

      Peer-Reviewed Articles

      1. Katayama H, Fahrmann JF, Olsen C, Irajizad E, Cai Y, Hsiao F, Dennison JB, Perrier ND, Hanash SM. Blood-Based Immunoglobulin-Bound Neoantigen Signatures Associated with MEN Type 1-Related Duodenopancreatic Neuroendocrine Tumor Progression. J Am Coll Surg 242(4):834-842, 2026. e-Pub 2026. PMID: 41562477.
      2. Irajizad E, Fahrmann JF, Wu R, Rudsari H, Dennison JB, Ostrin E, Ajani J, Hanash S. Association of blood levels of forever plastics with lung cancer mortality among ever smokers in the Prostate Lung Colorectal and Ovarian (PLCO) cohort study. Clin Cancer Res, 2026. e-Pub 2026. PMID: 41779007.
      3. Chen Y, Dou R, Hong MJ, Xu H, Vykoukal J, Leon-Letelier RA, Cai Y, Park S, Irajizad E, Hsiao FC, Dennison JB, Ostrin EJ, Fahrmann JF, Katayama H, Hanash SM. Lung adenocarcinoma surfaceome remodeling with EGFR inhibitors uncovers placental alkaline phosphatase as a target for combination therapy. Cell Rep Med 6(12):102513, 2025. e-Pub 2025. PMID: 41406940.
      4. Vykoukal J, Chen Y, Zuo M, Ballaro R, Hong MJ, Krishna H, Rodriquez-Perera DB, Katayama H, Irajizad E, Wu R, Leon-Letelier RA, Dennison JB, Gutierrez AM, Paulucci-Holthauzen A, Thompson TC, Rusling L, Cai Y, Hsiao FC, Park S, Arun B, Hanash S, Fahrmann JF. Vesicle-mediated mitochondrial clearance presents an actionable metabolic vulnerability in triple-negative breast cancer. Cell Rep Med 6(12):102478, 2025. e-Pub 2025. PMID: 41406946.
      5. Fahrmann JF, Irajizad E, Rudsari H, Vykoukal J, Toumazis I, Khorami-Sarvestani S, Ansari S, Yang J, Kettner N, Dennison JB, Ostrin E, Hanash S. Validation of a blood test for multi-cancer risk stratification in a lung cancer screening cohort. medRxiv, 2025. e-Pub 2025. PMID: 41332848.
      6. Song, L, Rudsari, HK, Fahrmann, JF, Vykoukal, JV, Hanash, S, Long, JP, Do, K, Irajizad, E. Rank-based learning. Briefings in bioinformatics 26(6), 2025. e-Pub 2025. PMID: 41705520.
      7. Chen, Y, Ballaro, R, Sans, M, Thege, F, Zuo, M, Dou, R, Min, J, Yip-Schneider, MT, Zhang, J, Wu, R, Irajizad, E, Makino, Y, Rajapakshe, K, Rudsari, HK, Hurd, MW, Leon Letelier, R, Katayama, H, Ostrin, EJ, Vykoukal, JV, Dennison, JB, Do, K, Hanash, S, Wolff, RA, Guerrero, PA, Kim, M, Schmidt, CM, Maitra, A, Fahrmann, JF. Long-chain sulfatide enrichment is an actionable metabolic vulnerability in intraductal papillary mucinous neoplasm (IPMN)-associated pancreatic cancers. Gut 74(10):1638-1652, 2025. e-Pub 2025. PMID: 40268349.
      8. Khoshfekr Rudsari H, Khorami-Sarvestani S, Fahrmann JF, Long JP, Hanash S, Do KA, Irajizad E. SMAGS-LASSO: A Novel Feature Selection Method for Sensitivity Maximization in Early Cancer Detection. Cancer Epidemiol Biomarkers Prev, 2025. e-Pub 2025. PMID: 40996315.
      9. Zhu H, Asiaee A, Azinfar L, Li J, Liang H, Irajizad E, Do KA, Long JP. AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes. Brief Bioinform 26(5), 2025. e-Pub 2025. PMID: 40889115.
      10. Curtis SD, Panda S, Li A, Xu H, Bai Y, Ogihara I, O'Reilly E, Wang Y, Dobbyn L, Popoli M, Ptak J, Nehme N, Silliman N, Tie J, Gibbs P, Ho-Pham LT, Tran BNH, Tran TS, Nguyen TV, Irajizad E, Goggins M, Wolfgang CL, Wang TL, Shih IM, Fader A, Lennon AM, Hruban RH, Bettegowda C, Gilbert L, Kinzler KW, Papadopoulos N, Vogelstein B, Vogelstein JT, Douville C. Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine. Proc Natl Acad Sci U S A 122(34):e2424203122, 2025. e-Pub 2025. PMID: 40833408.
      11. Liu, C, Mosley, A, Irajizad, E, Yip-Schneider, MT, Wu, H, Smith-Kinnaman, WR, Tran, T, Long, JP, Do, K, Fahrmann, JF, Dewitt, J, Hanash, S, Schmidt, CM, Zhang, J. Cyst fluid proteins stratify malignant risk of intraductal papillary mucinous neoplasm of the pancreas. Cancer Letters 624, 2025. e-Pub 2025. PMID: 40300662.
      12. Kugler E, Dasdemir E, Bataller A, Wang B, DiNardo CD, Daver N, Yilmaz M, Short NJ, Borthakur G, Kadia TM, Sasaki K, Hammond D, Bazinet A, Irajizad E, Thakral B, Pierce S, Reville P, Ravandi F, Abbas HA. Mutation dynamics from diagnosis to relapse in acute myeloid leukemia with chromosomal 7 deletions. Leuk Lymphoma 66(7):1221-1233, 2025. e-Pub 2025. PMID: 40164144.
      13. Leon Letelier, R, Chen, Y, Dou, R, Irajizad, E, Yip-Schneider, MT, Wu, R, Ejaz, R, Rudsari, HK, Li, Y, Spencer, R, Ballaro, R, Vykoukal, JV, Hurd, MW, Dennison, JB, Do, K, Maitra, A, Zhang, J, Hanash, S, Schmidt, CM, Fahrmann, JF. Integrated Metabolomics and Spatial Transcriptomics of Cystic Pancreatic Cancer Precursors Reveals Dysregulated Polyamine Metabolism as a Biomarker of Progression. Clinical Cancer Research 31(12):2454-2465, 2025. e-Pub 2025. PMID: 40184234.
      14. Gendarme, S, Irajizad, E, Long, JP, Fahrmann, JF, Dennison, JB, Ghasemi, SM, Dou, R, Volk, R, Meza, R, Toumazis, I, Canoui-Poitrine, F, Hanash, S, Ostrin, EJ. Impact of Comorbidities on the Mortality Benefits of Lung Cancer Screening. Journal of Thoracic Oncology 20(5):565-576, 2025. e-Pub 2025. PMID: 39798695.
      15. Ballaro, R, Wasylishen, A, Pieterman, CR, Olsen, C, Irajizad, E, Wu, R, Katayama, H, Liu, H, Cai, Y, Leon Letelier, R, Dennison, JB, Waguespack, SG, Do, K, Agarwal, SK, Walter, MF, Welch, JM, Weinstein, LS, Blau, J, Jha, S, Nilubol, N, Vriens, MR, Van Leeuwaarde, RS, Van Treijen, MJ, Valk, GD, Perrier, ND, Hanash, S, Fahrmann, JF. Elevated levels of circulating microbial-associated uremic toxins are associated with metastatic duodenopancreatic neuroendocrine tumors in patients with Multiple Endocrine Neoplasia Type 1. Cancer Letters 614, 2025. e-Pub 2025. PMID: 39924079.
      16. Zhu H, Asiaee A, Azinfar L, Li J, Liang H, Irajizad E, Do KA, Long JP. AUC-PR is a More Informative Metric for Assessing the Biological Relevance of In Silico Cellular Perturbation Prediction Models. bioRxiv, 2025. e-Pub 2025. PMID: 40161693.
      17. Ghasemi, SM, Gu, C, Fahrmann, JF, Hanash, S, Do, K, Long, JP, Irajizad, E. A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications. Cancer Prevention Research 18(3):117-123, 2025. e-Pub 2025. PMID: 39618306.
      18. Fahrmann, JF, Yip-Schneider, MT, Vykoukal, JV, Spencer, R, Dennison, JB, Do, K, Long, JP, Maitra, A, Zhang, J, Schmidt, CM, Hanash, S, Irajizad, E. Lead time trajectory of blood-based protein biomarkers for detection of pancreatic cancer based on repeat testing. Cancer Letters 612, 2025. e-Pub 2025. PMID: 39793753.
      19. Gu, C, Ghasemi, SM, Cai, Y, Fahrmann, JF, Long, JP, Katayama, H, Wu, C, Vykoukal, JV, Dennison, JB, Hanash, S, Do, K, Irajizad, E. Grape-Pi. Bioinformatics Advances 5(1), 2025. e-Pub 2025. PMID: 40406669.
      20. Gregg, JR, Newcomb, LF, Wu, R, Dennison, JB, Davis, JW, Pettaway, CA, Pisters, L, Ward, JF, Chapin, BF, Chery, LJ, Urkmez, A, Fang, A, Higgason, N, Troncoso, P, Daniel-MacDougall, CR, Logothetis, CJ, Thompson, TC, Hahn, AW, Liu, M, Zheng, Y, Lin, DW, Hanash, SM, Irajizad, E, Fahrmann, JF. Validation of a prognostic blood-based sphingolipid panel for men with localized prostate cancer followed on active surveillance. Biomarker Research 12(1), 2024. e-Pub 2024. PMID: 39522029.
      21. Irajizad E, Fahrmann JF, Toumazis I, Vykoukal J, Dennison JB, Shen Y, Do KA, Ostrin EJ, Feng Z, Hanash S. Biomarker trajectory for earlier detection of lung cancer. EBioMedicine 108:105377, 2024. e-Pub 2024. PMID: 39353277.
      22. Ishizawa S, Niu J, Tammemagi MC, Irajizad E, Shen Y, Lu KH, Meyer LA, Toumazis I. Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework. J Natl Cancer Inst, 2024. e-Pub 2024. PMID: 39038822.
      23. Song, L, Irajizad, E, Rundle, A, Sesso, HD, Gaziano, JM, Vykoukal, JV, Do, K, Dennison, JB, Ostrin, EJ, Fahrmann, JF, Perera, F, Hanash, S. Validation of a Blood-Based Protein Biomarker Panel for a Risk Assessment of Lethal Lung Cancer in the Physicians’ Health Study. Cancers 16(11), 2024. e-Pub 2024.
      24. Song L, Irajizad E, Rundle A, Sesso HD, Gaziano JM, Vykoukal JV, Do KA, Dennison JB, Ostrin EJ, Fahrmann JF, Perera F, Hanash S. Validation of a Blood-Based Protein Biomarker Panel for a Risk Assessment of Lethal Lung Cancer in the Physicians' Health Study. Cancers (Basel) 16(11), 2024. e-Pub 2024. PMID: 38893188.
      25. Ghasem SM, Fahrmann JF, Hanash S, Do KA, Long JP, Irajizad E. A novel method to guide biomarker combinations to optimize the sensitivity. bioRxiv, 2024. e-Pub 2024. PMID: 38659773.
      26. Leon-Letelier RA, Chen Y, Ballaro R, Irajizad E, Do KA, Maitra A, Zhang J, Schmidt CM, Fahrmann JF. A Blood-based Metabolite Signature for Personalized Risk Assessment of Pancreatic Cancer. J Cancer Immunol (Wilmington) 6(4):148-153, 2024. e-Pub 2024. PMID: 39713022.
      27. Ben-Ami R, Wang QL, Zhang J, Supplee JG, Fahrmann JF, Lehmann-Werman R, Brais LK, Nowak J, Yuan C, Loftus M, Babic A, Irajizad E, Davidi T, Zick A, Hubert A, Neiman D, Piyanzin S, Gal-Rosenberg O, Horn A, Shemer R, Glaser B, Boos N, Jajoo K, Lee L, Clancy TE, Rubinson DA, Ng K, Chabot JA, Kastrinos F, Kluger M, Aguirre AJ, Jänne PA, Bardeesy N, Stanger B, O'Hara MH, Till J, Maitra A, Carpenter EL, Bullock AJ, Genkinger J, Hanash SM, Paweletz CP, Dor Y, Wolpin BM. Protein biomarkers and alternatively methylated cell-free DNA detect early stage pancreatic cancer. Gut. e-Pub 2023. PMID: 38123998.
      28. Zhang X, Irajizad E, Hoffman KL, Fahrmann JF, Li F, Seo YD, Browman GJ, Dennison JB, Vykoukal J, Luna PN, Siu W, Wu R, Murage E, Ajami NJ, McQuade JL, Wargo JA, Long JP, Do KA, Lampe JW, Basen-Engquist KM, Okhuysen PC, Kopetz S, Hanash SM, Petrosino JF, Scheet P, Daniel CR. Modulating a prebiotic food source influences inflammation and immune-regulating gut microbes and metabolites: insights from the BE GONE trial. EBioMedicine 98:104873, 2023. e-Pub 2023. PMID: 38040541.
      29. Irajizad E, Kenney A, Tang T, Vykoukal J, Wu R, Murage E, Dennison JB, Sans M, Long JP, Loftus M, Chabot JA, Kluger MD, Kastrinos F, Brais L, Babic A, Jajoo K, Lee LS, Clancy TE, Ng K, Bullock A, Genkinger JM, Maitra A, Do KA, Yu B, Wolpin BM, Hanash S, Fahrmann JF. A blood-based metabolomic signature predictive of risk for pancreatic cancer. Cell Rep Med 4(9):101194, 2023. e-Pub 2023. PMID: 37729870.
      30. Sans M, Chen Y, Thege FI, Dou R, Min J, Yip-Schneider M, Zhang J, Wu R, Irajizad E, Makino Y, Rajapakshe KI, Hurd MW, Leon-Letelier RA, Vykoukal J, Dennison JB, Do KA, Wolff RA, Guerrero PA, Kim MP, Schmidt CM, Maitra A, Hanash S, Fahrmann JF. Integrated spatial transcriptomics and lipidomics of precursor lesions of pancreatic cancer identifies enrichment of long chain sulfatide biosynthesis as an early metabolic alteration. bioRxiv, 2023. e-Pub 2023. PMID: 37645752.
      31. Irajizad E, Fahrmann JF, Marsh T, Vykoukal J, Dennison JB, Long JP, Do KA, Feng Z, Hanash S, Ostrin EJ. Mortality Benefit of a Blood-Based Biomarker Panel for Lung Cancer on the Basis of the Prostate, Lung, Colorectal, and Ovarian Cohort. J Clin Oncol:JCO2202424. e-Pub 2023. PMID: 37379494.
      32. Fahrmann JF, Wasylishen AR, Pieterman CRC, Irajizad E, Vykoukal J, Wu R, Dennison JB, Peterson CB, Zhao H, Do KA, Halperin DM, Agarwal SK, Blau JE, Jha S, Rivero JD, Nilubol N, Walter MF, Welch JM, Weinstein LS, Vriens MR, van Leeuwaarde RS, van Treijen MJC, Valk GD, Perrier ND, Hanash SM, Katayama H. Blood-based proteomic signatures associated with MEN1-related Duodenopancreatic Neuroendocrine Tumor Progression. J Clin Endocrinol Metab. e-Pub 2023. PMID: 37307230.
      33. Ostrin EJ, Rider NL, Alousi AM, Irajizad E, Li L, Peng Q, Kim ST, Bashoura L, Arain MH, Noor LZ, Patel N, Mehta R, Popat UR, Hosing C, Jenq RR, Rondon G, Hanash SM, Paczesny S, Shpall EJ, Champlin RE, Dickey BF, Sheshadri A. A Nasal Inflammatory Cytokine Signature Is Associated with Early Graft-versus-Host Disease of the Lung after Allogeneic Hematopoietic Cell Transplantation: Proof of Concept. Immunohorizons 7(6):421-430, 2023. e-Pub 2023. PMID: 37289498.
      34. León-Letelier RA, Abdel Sater AH, Chen Y, Park S, Wu R, Irajizad E, Dennison JB, Katayama H, Vykoukal JV, Hanash S, Ostrin EJ, Fahrmann JF. Kynureninase Upregulation Is a Prominent Feature of NFR2-Activated Cancers and Is Associated with Tumor Immunosuppression and Poor Prognosis. Cancers (Basel) 15(3), 2023. e-Pub 2023. PMID: 36765792.
      35. Huang L, Long JP, Irajizad E, Doecke JD, Do KA, Ha MJ. A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes. Bioinformatics 39(1), 2023. e-Pub 2023. PMID: 36648331.
      36. Fahrmann JF, Saini NY, Chia-Chi C, Irajizad E, Strati P, Nair R, Fayad LE, Ahmed S, Lee HJ, Iyer S, Steiner R, Vykoukal J, Wu R, Dennison JB, Nastoupil L, Jain P, Wang M, Green M, Westin J, Blumenberg V, Davila M, Champlin R, Shpall EJ, Kebriaei P, Flowers CR, Jain M, Jenq R, Stein-Thoeringer CK, Subklewe M, Neelapu SS, Hanash S. A polyamine-centric, blood-based metabolite panel predictive of poor response to CAR-T cell therapy in large B cell lymphoma. Cell Rep Med 3(11):100720, 2022. e-Pub 2022. PMID: 36384092.
      37. Irajizad E, Han CY, Celestino J, Wu R, Murage E, Spencer R, Dennison JB, Vykoukal J, Long JP, Do KA, Drescher C, Lu K, Lu Z, Bast RC, Hanash S, Fahrmann JF. A Blood-Based Metabolite Panel for Distinguishing Ovarian Cancer from Benign Pelvic Masses. Clin Cancer Res 28(21):4669-4676, 2022. e-Pub 2022. PMID: 36037307.
      38. Timofeeva, N, Jain, N, Irajizad, E, Aslan, B, Katayama, H, Cai, Y, Ayres, M, Iles, LR, Vykoukal, JV, Dennison, JB, Hanash, S, Wierda, WG, Gandhi, VV. CLL-532 Changes in Proteome of CLL (Chronic Lymphocytic Leukemia) Lymphocytes During Investigator-Initiated Trial of Ibrutinib Alone and in Combination With Venetoclax in Treatment-Naïve Patients With CLL. Clinical Lymphoma, Myeloma and Leukemia 22:S283, 2022. e-Pub 2022. PMID: 36163901.
      39. Park S, Sater AHA, Fahrmann JF, Irajizad E, Cai Y, Katayama H, Vykoukal J, Kobayashi M, Dennison JB, Garcia-Manero G, Mullighan CG, Gu Z, Konopleva M, Hanash S. Novel UHRF1-MYC Axis in Acute Lymphoblastic Leukemia. Cancers (Basel) 14(17), 2022. e-Pub 2022. PMID: 36077796.
      40. Irajizad E, Fahrmann JF, Long JP, Vykoukal J, Kobayashi M, Capello M, Yu CY, Cai Y, Hsiao FC, Patel N, Park S, Peng Q, Dennison JB, Kato T, Tai MC, Taguchi A, Kadara H, Wistuba II, Katayama H, Do KA, Hanash SM, Ostrin EJ. A Comprehensive Search of Non-Canonical Proteins in Non-Small Cell Lung Cancer and Their Impact on the Immune Response. Int J Mol Sci 23(16), 2022. e-Pub 2022. PMID: 36012199.
      41. Fahrmann JF, Tanaka I, Irajizad E, Mao X, Dennison JB, Murage E, Casabar J, Mayo J, Peng Q, Celiktas M, Vykoukal JV, Park S, Taguchi A, Delgado O, Tripathi SC, Katayama H, Soto LMS, Rodriguez-Canales J, Behrens C, Wistuba I, Hanash S, Ostrin EJ. Mutational Activation of the NRF2 Pathway Upregulates Kynureninase Resulting in Tumor Immunosuppression and Poor Outcome in Lung Adenocarcinoma. Cancers (Basel) 14(10), 2022. e-Pub 2022. PMID: 35626147.
      42. Fahrmann JF, Marsh T, Irajizad E, Patel N, Murage E, Vykoukal J, Dennison JB, Do KA, Ostrin E, Spitz MR, Lam S, Shete S, Meza R, Tammemägi MC, Feng Z, Hanash SM. Blood-Based Biomarker Panel for Personalized Lung Cancer Risk Assessment. J Clin Oncol 40(8):876-883, 2022. e-Pub 2022. PMID: 34995129.
      43. Chen Y, Capello M, Rios Perez MV, Vykoukal JV, Roife D, Kang Y, Prakash LR, Katayama H, Irajizad E, Fleury A, Ferri-Borgogno S, Baluya DL, Dennison JB, Do KA, Fiehn O, Maitra A, Wang H, Chiao PJ, Katz MHG, Fleming JB, Hanash SM, Fahrmann JF. CES2 sustains HNF4α expression to promote pancreatic adenocarcinoma progression through an epoxide hydrolase-dependent regulatory loop. Mol Metab 56:101426, 2022. e-Pub 2022. PMID: 34971802.
      44. Irajizad E, Wu R, Vykoukal J, Murage E, Spencer R, Dennison JB, Moulder S, Ravenberg E, Lim B, Litton J, Tripathym D, Valero V, Damodaran S, Rauch GM, Adrada B, Candelaria R, White JB, Brewster A, Arun B, Long JP, Do KA, Hanash S, Fahrmann JF. Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Front Artif Intell 5:876100, 2022. e-Pub 2022. PMID: 36034598.
      45. Fahrmann JF, Wasylishen AR, Pieterman CRC, Irajizad E, Vykoukal J, Murage E, Wu R, Dennison JB, Krishna H, Peterson CB, Lozano G, Zhao H, Do KA, Halperin DM, Agarwal SK, Blau JE, Del Rivero J, Nilubol N, Walter MF, Welch JM, Weinstein LS, Vriens MR, van Leeuwaarde RS, van Treijen MJC, Valk GD, Perrier ND, Hanash SM. A Blood-based Polyamine Signature Associated With MEN1 Duodenopancreatic Neuroendocrine Tumor Progression. J Clin Endocrinol Metab 106(12):e4969-e4980, 2021. e-Pub 2021. PMID: 34318891.
      46. Fahrmann JF, Katayama H, Irajizad E, Chakraborty A, Kato T, Mao X, Park S, Murage E, Rusling L, Yu CY, Cai Y, Hsiao FC, Dennison JB, Tran H, Ostrin E, Wilson DO, Yuan JM, Vykoukal J, Hanash S. Plasma Based Protein Signatures Associated with Small Cell Lung Cancer. Cancers (Basel) 13(16), 2021. e-Pub 2021. PMID: 34439128.
      47. Katayama H, Kobayashi M, Irajizad E, Sevillarno A, Patel N, Mao X, Rusling L, Vykoukal J, Cai Y, Hsiao F, Yu CY, Long J, Liu J, Esteva F, Fahrmann J, Hanash S. Protein citrullination as a source of cancer neoantigens. J Immunother Cancer 9(6), 2021. e-Pub 2021. PMID: 34112737.
      48. Fahrmann JF, Schmidt CM, Mao X, Irajizad E, Loftus M, Zhang J, Patel N, Vykoukal J, Dennison JB, Long JP, Do KA, Zhang J, Chabot JA, Kluger MD, Kastrinos F, Brais L, Babic A, Jajoo K, Lee LS, Clancy TE, Ng K, Bullock A, Genkinger J, Yip-Schneider MT, Maitra A, Wolpin BM, Hanash S. Lead-Time Trajectory of CA19-9 as an Anchor Marker for Pancreatic Cancer Early Detection. Gastroenterology 160(4):1373-1383.e6, 2021. e-Pub 2021. PMID: 33333055.
      49. Fahrmann JF, Irajizad E, Kobayashi M, Vykoukal J, Dennison JB, Murage E, Wu R, Long JP, Do KA, Celestino J, Lu KH, Lu Z, Bast RC, Hanash S. A MYC-Driven Plasma Polyamine Signature for Early Detection of Ovarian Cancer. Cancers (Basel) 13(4), 2021. e-Pub 2021. PMID: 33671595.
      50. Capello M, Fahrmann JF, Rios Perez MV, Vykoukal JV, Irajizad E, Tripathi SC, Roife D, Bantis LE, Kang Y, Kundnani DL, Xu H, Prakash LR, Long JP, Katayama H, Fleury A, Ferri-Borgogno S, Baluya DL, Dennison JB, Aguilar-Bonavides C, Casabar JP, Celiktas M, Do KA, Fiehn O, Maitra A, Wang H, Feng Z, Chiao PJ, Katz MH, Fleming JB, Hanash SM. CES2 Expression in Pancreatic Adenocarcinoma Is Predictive of Response to Irinotecan and Is Associated With Type 2 Diabetes. JCO Precis Oncol 4:426-436, 2020. e-Pub 2020. PMID: 35050739.
      51. Vykoukal J, Fahrmann JF, Gregg JR, Tang Z, Basourakos S, Irajizad E, Park S, Yang G, Creighton CJ, Fleury A, Mayo J, Paulucci-Holthauzen A, Dennison JB, Murage E, Peterson CB, Davis JW, Kim J, Hanash S, Thompson TC. Caveolin-1-mediated sphingolipid oncometabolism underlies a metabolic vulnerability of prostate cancer. Nat Commun 11(1):4279, 2020. e-Pub 2020. PMID: 32855410.
      52. Fahrmann JF, Vykoukal J, Fleury A, Tripathi S, Dennison JB, Murage E, Wang P, Yu CY, Capello M, Creighton CJ, Do KA, Long JP, Irajizad E, Peterson C, Katayama H, Disis ML, Arun B, Hanash S. Association Between Plasma Diacetylspermine and Tumor Spermine Synthase With Outcome in Triple-Negative Breast Cancer. J Natl Cancer Inst 112(6):607-616, 2020. e-Pub 2020. PMID: 31503278.
      53. Fahrmann JF, Mao X, Irajizad E, Katayama H, Capello M, Tanaka I, Kato T, Wistuba II, Maitra A, Ostrin EJ, Hanash SM, Vykoukal J. Plasma-Derived Extracellular Vesicles Convey Protein Signatures that Reflect Pathophysiology in Lung and Pancreatic Adenocarcinomas. Cancers (Basel) 12(5), 2020. e-Pub 2020. PMID: 32370304.
      54. Kobayashi M, Katayama H, Irajizad E, Vykoukal JV, Fahrmann JF, Kundnani DL, Yu CY, Cai Y, Hsiao FC, Yang WL, Lu Z, Celestino J, Long JP, Do KA, Lu KH, Ladd JJ, Urban N, Bast RC, Hanash SM. Proteome Profiling Uncovers an Autoimmune Response Signature That Reflects Ovarian Cancer Pathogenesis. Cancers (Basel) 12(2), 2020. e-Pub 2020. PMID: 32092936.
      55. Irajizad E, Ramachandran R, Agrawal A. Geometric instability catalyzes mitochondrial fission. Mol Biol Cell 30(1):160-168, 2019. e-Pub 2019. PMID: 30379601.
      56. Irajizad E, Agrawal A. Vesicle adhesion reveals novel universal relationships for biophysical characterization. Biomech Model Mechanobiol 17(1):103-109, 2018. e-Pub 2018. PMID: 28825147.
      57. Irajizad E, Walani N, Veatch SL, Liu AP, Agrawal A. Clathrin polymerization exhibits high mechano-geometric sensitivity. Soft Matter 13(7):1455-1462, 2017. e-Pub 2017. PMID: 28124714.

      Review Articles

      1. Rudsari, HK, Tseng, B, Zhu, H, Song, L, Gu, C, Roy, A, Irajizad, E, Butner, JD, Long, JP, Do, K. Digital twins in healthcare. Frontiers in Digital Health 7, 2025. e-Pub 2025. PMID: 41341463.
      2. León-Letelier RA, Dou R, Vykoukal J, Yip-Schneider MT, Maitra A, Irajizad E, Wu R, Dennison JB, Do KA, Zhang J, Schmidt CM, Hanash S, Fahrmann JF. Contributions of the Microbiome-Derived Metabolome for Risk Assessment and Prognostication of Pancreatic Cancer. Clin Chem 70(1):102-115, 2024. e-Pub 2024. PMID: 38175578.

      Editorials

      1. Irajizad E, Hanash S. Breast cancer risk assessment: current challenges and the emerging role of blood-based protein biomarkers. J Natl Cancer Inst, 2025. PMID: 40901722.

      Letters to the Editor

      1. Fahrmann JF, Ghasemi SM, Han CY, Wu R, Dennison JB, Vykoukal J, Celestino J, Lu K, Lu Z, Drescher C, Do KA, Hanash S, Bast RC, Irajizad E. A metabolite-based liquid biopsy for detection of ovarian cancer. Biomark Res 12: 91, 2024.
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