Salgado, Roberto
Peter MacCallum Cancer Centre
18 papers on CoChatORCID 0000-0002-1110-3801
Most cited papers
- Verified
The repertoire of mutational signatures in human cancer
Alexandrov, L. B., Kim, J., Haradhvala, N. J., Huang, M. N., Tian Ng, A. W., Wu, Y., Boot, A., Covington, K. R., Gordenin, D. A., Bergstrom, E. N., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,496
- Verified
Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,064
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The evolutionary history of 2,658 cancers
Gerstung, M., Jolly, C., Leshchiner, I., Dentro, S. C., Gonzalez, S., Rosebrock, D., Mitchell, T. J., Rubanova, Y., Anur, P., Yu, K., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 1,057
- Verified
Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis
Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Savas, P., Virassamy, B., Ye, C., Salim, A., Mintoff, C. P., Caramia, F., Salgado, R., Byrne, D. J., Teo, Z. L., et al. (2018) · Nature Medicine
Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology
Cited by 992
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Tumor-infiltrating lymphocytes and prognosis: a pooled individual patient analysis of early-stage triple-negative breast cancers
Loi, S., Drubay, D., Adams, S., Pruneri, G., Francis, P. A., Lacroix-Triki, M., Joensuu, H., Dieci, M. V., Badve, S., Demaria, S., et al. (2019) · Journal of Clinical Oncology
Breast Cancer Treatment StudiesBreast Lesions and Carcinomas
Cited by 893
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Clinical relevance of host immunity in breast cancer: from TILs to the clinic
Savas, P., Salgado, R., Denkert, C., Sotiriou, C., Darcy, P. K., Smyth, M. J., & Loi, S. (2016) · Nature Reviews Clinical Oncology
Cancer Immunotherapy and BiomarkersBreast Cancer Treatment Studies
Cited by 890
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Patterns of somatic structural variation in human cancer genomes
Li, Y., Roberts, N. D., Wala, J. A., Shapira, O., Schumacher, S. E., Kumar, K., Khurana, E., Waszak, S., Korbel, J. O., Haber, J. E., et al. (2020) · Nature
Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities
Cited by 867
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Lung adenocarcinoma promotion by air pollutants
Hill, W., Lim, E. L., Weeden, C. E., Lee, C., Augustine, M., Chen, K., Kuan, F.-C., Marongiu, F., Evans, E. J., Moore, D. A., et al. (2023) · Nature
Air Quality and Health ImpactsCarcinogens and Genotoxicity Assessment
Cited by 808
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Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
Cortés-Ciriano, I., Lee, J. J.-K., Xi, R., Jain, D., Jung, Y. L., Yang, L., Gordenin, D., Klimczak, L. J., Zhang, C.-Z., Pellman, D. S., et al. (2020) · Nature Genetics
Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities
Cited by 712
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RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors
Loi, S., Dushyanthen, S., Beavis, P. A., Salgado, R., Denkert, C., Savas, P., Combs, S., Rimm, D. L., Giltnane, J. M., Estrada, M. V., et al. (2016) · Clinical Cancer Research
Cancer Immunotherapy and BiomarkersBreast Cancer Treatment Studies
Cited by 536
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Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
Rodriguez-Martin, B., Alvarez, E. G., Baez-Ortega, A., Zamora, J., Supek, F., Demeulemeester, J., Santamarina, M., Ju, Y. S., Temes, J., Garcia-Souto, D., et al. (2020) · Nature Genetics
Genomic variations and chromosomal abnormalitiesCancer Genomics and Diagnostics
Cited by 451
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Pembrolizumab plus chemotherapy as neoadjuvant treatment of high-risk, early-stage triple-negative breast cancer: results from the phase 1b open-label, multicohort KEYNOTE-173 study
Schmid, P., Salgado, R., Park, Y. H., Muñoz-Couselo, E., Kim, S. B., Sohn, J., Im, S.-A., Foukakis, T., Kuemmel, S., Dent, R., et al. (2020) · Annals of Oncology
Breast Cancer Treatment StudiesCancer Immunotherapy and Biomarkers
Cited by 413
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Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA
Abbosh, C., Frankell, A. M., Harrison, T., Kisistok, J., Garnett, A., Johnson, L., Veeriah, S., Moreau, M., Chesh, A., Chaunzwa, T. L., et al. (2023) · Nature
Cancer Genomics and DiagnosticsLung Cancer Diagnosis and Treatment
Cited by 382
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Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
Akdemir, K. C., Le, V. T., Chandran, S., Li, Y., Verhaak, R. G., Beroukhim, R., Campbell, P. J., Chin, L., Dixon, J. R., Futreal, P. A., et al. (2020) · Nature Genetics
Genomics and Chromatin DynamicsChromatin Remodeling and Cancer
Cited by 283
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Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer
Hammerl, D., Martens, J. W. M., Timmermans, M., Smid, M., Trapman-Jansen, A. M., Foekens, R., Isaeva, O. I., Voorwerk, L., Balcioglu, H. E., Wijers, R., et al. (2021) · Nature Communications
Cancer Immunotherapy and BiomarkersBreast Cancer Treatment Studies
Cited by 262
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Agonist immunotherapy restores T cell function following MEK inhibition improving efficacy in breast cancer
Dushyanthen, S., Teo, Z. L., Caramia, F., Savas, P., Mintoff, C. P., Virassamy, B., Henderson, M. A., Luen, S. J., Mansour, M., Kershaw, M. H., et al. (2017) · Nature Communications
Cancer Immunotherapy and BiomarkersMelanoma and MAPK Pathways
Cited by 124
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Effect of CCL5 expression in the recruitment of immune cells in triple negative breast cancer
Araujo, J. M., Gomez, A. C., Aguilar, A., Salgado, R., Balko, J. M., Bravo, L., Doimi, F., Bretel, D., Morante, Z., Flores, C., et al. (2018) · Scientific Reports
Breast Cancer Treatment StudiesChemokine receptors and signaling
Cited by 108
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Diagnostic Quality Model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML
Lennerz, J. K., Salgado, R., Kim, G. E., Sirintrapun, S. J., Thierauf, J. C., Singh, A., Indave, I., Bard, A., Weissinger, S. E., Heher, Y. K., et al. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM)
Artificial Intelligence in Healthcare and EducationClinical Laboratory Practices and Quality Control
Cited by 29
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