Schoenfeld, Adam J.

Tumor Analyses Reveal Squamous Transformation and Off-Target Alterations As Early Resistance Mechanisms to First-line Osimertinib in EGFR -Mutant Lung Cancer

Schoenfeld, A. J., Chan, J. M., Kubota, D., Sato, H., Rizvi, H., Daneshbod, Y., Chang, J. C., Paik, P. K., Offin, M., Arcila, M. E., et al. (2020) · Clinical Cancer Research

Lung Cancer Treatments and MutationsCancer Genomics and Diagnostics

Cited by 411

Severe immune-related adverse events are common with sequential PD-(L)1 blockade and osimertinib

Schoenfeld, A. J., Arbour, K. C., Rizvi, H., Iqbal, A. N., Gadgeel, S. M., Girshman, J., Kris, M. G., Riely, G. J., Yu, H. A., & Hellmann, M. D. (2019) · Annals of Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations

Cited by 406

Spectrum of Mechanisms of Resistance to Crizotinib and Lorlatinib in ROS1 Fusion–Positive Lung Cancer

Lin, J. J., Choudhury, N. J., Yoda, S., Zhu, V. W., Johnson, T. W., Sakhtemani, R., Dagogo-Jack, I., Digumarthy, S. R., Lee, C., Do, A., et al. (2021) · Clinical Cancer Research

Lung Cancer Treatments and MutationsCancer Genomics and Diagnostics

Cited by 145

A clinical benchmark of public self-supervised pathology foundation models

Campanella, G., Chen, S., Singh, M., Verma, R., Muehlstedt, S., Zeng, J., Stock, A., Croken, M., Veremis, B., Elmas, A., et al. (2025) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 126

Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors

Nassar, A. H., Adib, E., Abou Alaiwi, S., El Zarif, T., Groha, S., Akl, E. W., Nuzzo, P. V., Mouhieddine, T. H., Perea-Chamblee, T., Taraszka, K., et al. (2022) · Cancer Cell

Cancer Immunotherapy and BiomarkersCancer Genomics and Diagnostics

Cited by 121

Dissecting the clinicopathologic, genomic, and immunophenotypic correlates of KRASG12D-mutated non-small-cell lung cancer

Ricciuti, B., Alessi, J. V., Elkrief, A., Wang, X., Cortellini, A., Li, Y. Y., Vaz, V. R., Gupta, H., Pecci, F., Barrichello, A., et al. (2022) · Annals of Oncology

Lung Cancer Treatments and MutationsLung Cancer Research Studies

Cited by 112

Clinicopathologic and Genomic Factors Impacting Efficacy of First-Line Chemoimmunotherapy in Advanced NSCLC

Alessi, J. V., Elkrief, A., Ricciuti, B., Wang, X., Cortellini, A., Vaz, V. R., Lamberti, G., Frias, R. L., Venkatraman, D., Fulgenzi, C. A. M., et al. (2023) · Journal of Thoracic Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations

Cited by 97

Antibiotics are associated with worse outcomes in lung cancer patients treated with chemotherapy and immunotherapy

Elkrief, A., Méndez-Salazar, E. O., Maillou, J., Vanderbilt, C. M., Gogia, P., Desilets, A., Messaoudene, M., Kelly, D., Ladanyi, M., Hellmann, M. D., et al. (2024) · npj Precision Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Diagnosis and Treatment

Cited by 68

Immune-Related Colitis Is Associated with Fecal Microbial Dysbiosis and Can Be Mitigated by Fecal Microbiota Transplantation

Elkrief, A., Waters, N. R., Smith, N., Dai, A., Slingerland, J., Aleynick, N., Febles, B., Gogia, P., Socci, N. D., Lumish, M., et al. (2024) · Cancer Immunology Research

Cancer Immunotherapy and BiomarkersGut microbiota and health

Cited by 48

Exceptional responders with invasive mucinous adenocarcinomas: a phase 2 trial of bortezomib in patients with KRAS G12D-mutant lung cancers

Drilon, A., Schoenfeld, A. J., Arbour, K. C., Litvak, A., Ni, A., Montecalvo, J., Yu, H. A., Panora, E., Ahn, L., Kennedy, M., et al. (2019) · Molecular Case Studies

Lung Cancer Treatments and MutationsLung Cancer Research Studies

Cited by 31

Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images

Campanella, G., Kwan, R., Fluder, E., Zeng, J., Stock, A., Veremis, B., Polydorides, A. D., Hedvat, C., Schoenfeld, A., Vanderbilt, C., et al. (2023) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 15