Schultz, Nikolaus

Development of genome-derived tumor type prediction to inform clinical cancer care

Penson, A., Camacho, N., Zheng, Y., Varghese, A. M., Al-Ahmadie, H., Razavi, P., Chandarlapaty, S., Vallejo, C. E., Vakiani, E., Gilewski, T., et al. (2020) · JAMA Oncology

Cancer Genomics and DiagnosticsCancer Diagnosis and Treatment

Cited by 115

Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology–molecular associations: clinical and biological implications

Shia, J., Schultz, N., Kuk, D., Vakiani, E., Middha, S., Segal, N. H., Hechtman, J. F., Berger, M. F., Stadler, Z. K., Weiser, M. R., et al. (2017) · Modern Pathology

Genetic factors in colorectal cancerCancer Genomics and Diagnostics

Cited by 105

Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles

Mankoo, P. K., Shen, R., Schultz, N., Levine, D. A., & Sander, C. (2011) · PLoS ONE

Ovarian cancer diagnosis and treatmentBreast Cancer Treatment Studies

Cited by 104

Microsatellite instability, tumor mutational burden, and response to immune checkpoint blockade in patients with prostate cancer

Lenis, A. T., Ravichandran, V., Brown, S., Alam, S. M., Katims, A., Truong, H., Reisz, P. A., Vasselman, S., Nweji, B., Autio, K. A., et al. (2024) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersProstate Cancer Treatment and Research

Cited by 80

BRCA mutational status shapes the stromal microenvironment of pancreatic cancer linking clusterin expression in cancer associated fibroblasts with HSF1 signaling

Shaashua, L., Ben-Shmuel, A., Pevsner-Fischer, M., Friedman, G., Levi-Galibov, O., Nandakumar, S., Barki, D., Nevo, R., Brown, L. E., Zhang, W., et al. (2022) · Nature Communications

Pancreatic and Hepatic Oncology ResearchCancer Cells and Metastasis

Cited by 79

Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period

Do, R. K. G., Lupton, K., Causa Andrieu, P. I., Luthra, A., Taya, M., Batch, K., Nguyen, H., Rahurkar, P., Gazit, L., Nicholas, K., et al. (2021) · Radiology

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 54

Abnormal oxidative metabolism in a quiet genomic background underlies clear cell papillary renal cell carcinoma

Xu, J., Reznik, E., Lee, H.-J., Gundem, G., Jonsson, P., Sarungbam, J., Bialik, A., Sanchez-Vega, F., Creighton, C. J., Hoekstra, J., et al. (2019) · eLife

Cancer, Hypoxia, and MetabolismRenal cell carcinoma treatment

Cited by 43

Large language model trained on clinical oncology data predicts cancer progression

Zhu, M., Lin, H., Jiang, J., Jinia, A. J., Jee, J., Pichotta, K., Waters, M., Rose, D., Schultz, N., Chalise, S., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30

Phase II study of trastuzumab with modified docetaxel, cisplatin, and 5 fluorouracil in metastatic HER2-positive gastric cancer

Mondaca, S., Margolis, M., Sanchez-Vega, F., Jonsson, P., Riches, J. C., Ku, G. Y., Hechtman, J. F., Tuvy, Y., Berger, M. F., Shah, M. A., et al. (2019) · Gastric Cancer

Gastric Cancer Management and OutcomesHER2/EGFR in Cancer Research

Cited by 21

Abstract 5721: Automated annotation for large-scale clinicogenomic models of lung cancer treatment response and overall survival

Jee, J., Fong, C., Pichotta, K., Tran, T., Luthra, A., Altoe, M., Maron, S., Shen, R., Liu, S.-Y., Waters, M., et al. (2023) · Cancer Research

Lung Cancer Treatments and MutationsRadiomics and Machine Learning in Medical Imaging

Cited by 4

Abstract 99: Evolution of OncoKB, a precision oncology knowledgebase

Suehnholz, S. P., Kundra, R., Zhang, H., Smith, S., Nissan, M., Yao, Y., LaFave, L., Gala, K., Miles, L., Arcila, M. E., et al. (2021) · Cancer Research

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 3