Precision medicine for cancer with next-generation functional diagnostics

The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data

Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455

Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma

Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261

Network biology: understanding the cell's functional organization

Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903

Improved survival with vemurafenib in melanoma with BRAF V600E mutation

Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720

Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche

Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257

The future of immune checkpoint therapy

Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878

Cancer drug resistance: an evolving paradigm

Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681

Anaplastic Lymphoma Kinase Inhibition in Non–Small-Cell Lung Cancer

Kwak, E. L., Bang, Y., Camidge, D. R., Shaw, A. T., Solomon, B., Maki, R. G., Ou, S. I., Dezube, B. J., Janne, P. A., Costa, D. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1006448 · Cited by 4,477

Long-term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett’s epithelium

Sato, T., Stange, D. E., Ferrante, M., Vries, R. G. J., van Es, J. H., van den Brink, S., van Houdt, W. J., Pronk, A., van Gorp, J., Siersema, P. D., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.07.050 · Cited by 3,753

Identifying patients eligible for PARP inhibitor treatment: from NGS-based tests to 3D functional assays

Morice, P., Coquan, E., Weiswald, L., Lambert, B., Vaur, D., & Poulain, L. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01295-z · Cited by 29

Multifunctional polysaccharide nanoprobes for biological imaging

Ju, J., Xu, D., Mo, X., Miao, J., Xu, L., Ge, G., Zhu, X., & Deng, H. (2023) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2023.121048 · Cited by 30

Nanoformulation of metal complexes: Intelligent stimuli-responsive platforms for precision therapeutics

Hu, M., Ai, X., Wang, Z., Zhang, Z., Cheong, H., Zhang, W., Lin, J., Li, J., Yang, H., & Xing, B. (2018) · Nano Research · doi:10.1007/s12274-018-2138-1 · Cited by 28

Phospho Flow Cytometry with Fluorescent Cell Barcoding for Single Cell Signaling Analysis and Biomarker Discovery

Skånland, S. S. (2018) · Journal of Visualized Experiments · doi:10.3791/58386 · Cited by 28

Next‐Generation Preclinical Functional Testing Models in Cancer Precision Medicine: CTC‐Derived Organoids

Huang, L., Xu, Y., Wang, N., Yi, K., Xi, X., Si, H., Zhang, Q., Xiang, M., Rong, Y., Yuan, Y., et al. (2023) · Small Methods · doi:10.1002/smtd.202301009 · Cited by 30

Leveraging Artificial Intelligence to Achieve Sustainable Public Healthcare Services in Saudi Arabia: A Systematic Literature Review of Critical Success Factors

Kumar, R., Singh, A. K., Kassar, A. S. A., Humaida, M. I., Joshi, S., & Sharma, M. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.059152 · Cited by 32

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Zong, N., Ngo, V., Stone, D. J., Wen, A., Zhao, Y., Yu, Y., Liu, S., Huang, M. S., Wang, C., & Jiang, G. (2021) · JMIR Medical Informatics · doi:10.2196/23586 · Cited by 27

Extracellular Vesicles: A Novel Tool Facilitating Personalized Medicine and Pharmacogenomics in Oncology

Goričar, K., Dolžan, V., & Lenassi, M. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.671298 · Cited by 29

Pharmacogenomics, precision medicine, and implications for anesthesia care

Kaye, A. D., Mahakian, T., Kaye, A. J., Pham, A., Hart, B. M., Gennuso, S. A., Cornett, E. M., Gabriel, R. A., & Urman, R. D. (2018) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2018.07.001 · Cited by 27

Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies

Celikkin, N., Presutti, D., Maiullari, F., Fornetti, E., Agarwal, T., Paradiso, A., Volpi, M., Święszkowski, W., Bearzi, C., Barbetta, A., et al. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.732130 · Cited by 26

Low Colorectal Tumor Removal by E-Cadherin Destruction-Enabled Tumor Cell Dissociation

Li, M., Bao, Q., Guo, J., Xie, R., Shen, C., Wei, Q., Hu, P., Qin, H., & Shi, J. (2022) · Nano Letters · doi:10.1021/acs.nanolett.1c04797 · Cited by 26

Mechanisms of Resistance in Multiple Myeloma

Papadas, A., & Asimakopoulos, F. A. (2017) · Handbook of experimental pharmacology · doi:10.1007/164_2017_10 · Cited by 26

Measurement of BH3-only protein tolerance

Dai, H., Ding, H., Peterson, K. L., Meng, X. W., Schneider, P. A., Knorr, K. L. B., & Kaufmann, S. H. (2017) · Cell Death and Differentiation · doi:10.1038/cdd.2017.156 · Cited by 28

Preventive Inhibition of Liver Tumorigenesis by Systemic Activation of Innate Immune Functions

Lee, J., Liao, R., Wang, G., Yang, B.-H., Luo, X., Varki, N. M., Qiu, S., Ren, B., Fu, W., & Feng, G. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.064 · Cited by 26

Apoptotic Bodies in the Pancreatic Tumor Cell Culture Media Enable Label‐Free Drug Sensitivity Assessment by Impedance Cytometry

Honrado, C., Adair, S. J., Moore, J. H., Salahi, A., Bauer, T. W., & Swami, N. S. (2021) · Advanced Biology · doi:10.1002/adbi.202100438 · Cited by 26

Mission critical: the need for proteomics in the era of next-generation sequencing and precision medicine

Cayer, D. M., Nazor, K. L., & Schork, N. J. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw214 · Cited by 25

CPX-351 exhibits potent and direct ex vivo cytotoxicity against AML blasts with enhanced efficacy for cells harboring the FLT3-ITD mutation

Gordon, M. J., Tardi, P. G., Loriaux, M., Spurgeon, S. E. F., Traer, E. A., Kovacsovics, T. J., Mayer, L. D., & Tyner, J. W. (2016) · Leukemia Research · doi:10.1016/j.leukres.2016.12.002 · Cited by 25

Dielectrophoretic enrichment of live chemo-resistant circulating-like pancreatic cancer cells from media of drug-treated adherent cultures of solid tumors

Rane, A., Jarmoshti, J., Siddique, A., Adair, S. J., Torres‐Castro, K., Honrado, C., Bauer, T. W., & Swami, N. S. (2023) · Lab on a Chip · doi:10.1039/d3lc00804e · Cited by 25

Translational Research to Improve the Efficacy of Carbon Ion Radiotherapy: Experience of Gunma University

Oike, T., Sato, H., Noda, S., & Nakano, T. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00139 · Cited by 25

Chasing the FOXO3: Insights into Its New Mitochondrial Lair in Colorectal Cancer Landscape

Grossi, V., Fasano, C., Celestini, V., Signorile, M. L., Sanese, P., & Simone, C. (2019) · Cancers · doi:10.3390/cancers11030414 · Cited by 25

Recent development in biodegradable nanovehicle delivery system-assisted immunotherapy

Wen, Z., Liu, F., Chen, Q., Xu, Y., Li, H., & Sun, S. (2019) · Biomaterials Science · doi:10.1039/c9bm00961b · Cited by 25

Comprehensive molecular profiling of extrahepatic cholangiocarcinoma in Chinese population and potential targets for clinical practice

Liang, X., Guo, C., Zhang, K., Jiang, H., Pang, F., Dou, Y., Liu, X., Lin, H., Dong, X., Zhao, S., et al. (2019) · HepatoBiliary Surgery and Nutrition · doi:10.21037/hbsn.2019.08.05 · Cited by 25

Benefits of functional assays in personalized cancer medicine: more than just a proof-of-concept

Puch, C. B. M. D., Vanderstraete, M., Giraud, S., Lautrette, C., Christou, N., & Mathonnet, M. (2021) · Theranostics · doi:10.7150/thno.55954 · Cited by 25

Aggregation‐Induced Emission (AIE) Photosensitizer Combined Polydopamine Nanomaterials for Organelle‐Targeting Photodynamic and Photothermal Therapy by the Recognition of Sialic Acid

Li, S., Chen, Y., He, P., Ma, Y., Cai, Y., Hou, X., Zhang, G., Zhang, X., & Wang, Z. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202200242 · Cited by 24

Versatile ion S5XL sequencer for targeted next generation sequencing of solid tumors in a clinical laboratory

Mehrotra, M., Duose, D. Y., Singh, R. R., Barkoh, B. A., Manekia, J., Harmon, M. A., Patel, K. P., Routbort, M. J., Medeiros, L. J., Wistuba, I. I., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181968 · Cited by 24

Characterization of ascites‐derived tumor cells from an endometrial cancer patient

Li, X., Zhu, D., Li, N., Yang, H., Zhao, Z., & Li, M. (2017) · Cancer Science · doi:10.1111/cas.13407 · Cited by 24

Cryopreservation of primary B cells minimally influences their signaling responses

Hermansen, J. U., Tjønnfjord, G. E., Munthe, L. A., Taskén, K., & Skånland, S. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-36121-9 · Cited by 24

Survey of ex vivo drug combination effects in chronic lymphocytic leukemia reveals synergistic drug effects and genetic dependencies

Lukas, M., Velten, B., Sellner, L., Tomska, K., Hüellein, J., Walther, T., Wagner, L., Muley, C., Wu, B., Oleś, M., et al. (2020) · Leukemia · doi:10.1038/s41375-020-0846-5 · Cited by 25

Safety and Activity of the Combination of Ceritinib and Dasatinib in Osteosarcoma

Beck, O., Paret, C., Russo, A., Burhenne, J., Fresnais, M., Steimel, K., Seidmann, L., Wagner, D., Vewinger, N., Lehmann, N., et al. (2020) · Cancers · doi:10.3390/cancers12040793 · Cited by 23

Switchable ROS Scavenger/Generator for MRI‐Guided Anti‐Inflammation and Anti‐Tumor Therapy with Enhanced Therapeutic Efficacy and Reduced Side Effects

Li, M., Huo, L., Zeng, J., Zhu, G., Liu, X., Zhu, X., Huang, G., Wang, Y., Ni, K., & Zhao, Z. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202202043 · Cited by 23

Next generation sequencing in cancer: opportunities and challenges for precision cancer medicine

Paolillo, C., Londin, E. R., & Fortina, P. M. (2016) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365513.2016.1210331 · Cited by 24

A Microfabricated Sandwiching Assay for Nanoliter and High‐Throughput Biomarker Screening

Bandaru, P., Chu, D., Sun, W., Lasli, S., Zhao, C., Hou, S., Zhang, S., Ni, J., Cefaloni, G., Ahadian, S., et al. (2019) · Small · doi:10.1002/smll.201900300 · Cited by 23

A Simple Three-Dimensional In Vitro Culture Mimicking the In Vivo-Like Cell Behavior of Bladder Patient-Derived Xenograft Models

do Amaral, R. L. F., Zimmermann, M., Ma, A., Zhang, H., Swiech, K., & Pan, C.-X. (2020) · Cancers · doi:10.3390/cancers12051304 · Cited by 23

Patient-Derived Organoids of Colorectal Cancer: A Useful Tool for Personalized Medicine

Kiwaki, T., & Kataoka, H. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12050695 · Cited by 23

The impact of changing the funding model for genetic diagnostics and improved access to personalized medicine in oncology

Mela, A., Rdzanek, E., Tysarowski, A., Sakowicz, M., Jaroszyński, J., Furtak-Niczyporuk, M., Żurek, G., Poniatowski, Ł. A., & Jagielska, B. (2022) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2023.2140139 · Cited by 22

Mapping the Potential of Microfluidics in Early Diagnosis and Personalized Treatment of Head and Neck Cancers

Pillai, S., Kwan, J. C., Yaziji, F., Yu, H., & Tran, S. D. (2023) · Cancers · doi:10.3390/cancers15153894 · Cited by 23

Dual inhibition of JAK1/2 kinases and BCL2: a promising therapeutic strategy for acute myeloid leukemia

Kurtz, S. E., Eide, C. A., Kaempf, A. J., Mori, M., Tognon, C. E., Borate, U., Druker, B. J., & Tyner, J. W. (2018) · Leukemia · doi:10.1038/s41375-018-0225-7 · Cited by 22

Simultaneous kinase inhibition with ibrutinib and BCL2 inhibition with venetoclax offers a therapeutic strategy for acute myeloid leukemia

Eide, C. A., Kurtz, S. E., Kaempf, A. J., Long, N., Agarwal, A., Tognon, C. E., Mori, M., Druker, B. J., Chang, B. H., Danilov, A. V., et al. (2020) · Leukemia · doi:10.1038/s41375-020-0764-6 · Cited by 23

Conditionally Reprogrammed Human Normal Airway Epithelial Cells at ALI: A Physiological Model for Emerging Viruses

Liu, X., Wu, Y., & Rong, L. (2020) · Virologica Sinica · doi:10.1007/s12250-020-00244-z · Cited by 22

From cell lines to living biosensors: new opportunities to prioritize cancer dependencies using ex vivo tumor cultures

Tseng, Y., & Boehm, J. S. (2019) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2019.02.007 · Cited by 21

Development, Implementation and Assessment of Molecular Diagnostics by Next Generation Sequencing in Personalized Treatment of Cancer: Experience of a Public Reference Healthcare Hospital

Simarro, J., Murria, R., Pérez-Simó, G., Llop, M., Mancheño, N., Ramos, D., de Juan, I., Barragán, E., Laíz, B., Cases, E., et al. (2019) · Cancers · doi:10.3390/cancers11081196 · Cited by 21

B cell signalling pathways—New targets for precision medicine in chronic lymphocytic leukaemia

Skånland, S. S., Karlsen, L., & Taskén, K. (2020) · Scandinavian Journal of Immunology · doi:10.1111/sji.12931 · Cited by 21

Advancements in AI-driven diagnostic radiology: Enhancing accuracy and efficiency

Alanazi, M. M. F., Almutairi, S., Alarjani, N., Alghaylan, ‏. Y. A., Aljawhari, ‏. S. M., & Alkhulaifi, ‏. A. S. (2024) · International Journal of Health Sciences · doi:10.53730/ijhs.v8ns1.14928 · Cited by 20

PARP inhibitors as precision medicine for cancer treatment

Du, Y., Yamaguchi, H., Hsu, J. L., & Hung, M. (2017) · National Science Review · doi:10.1093/nsr/nwx027 · Cited by 20

Turning omics data into therapeutic insights

Kedaigle, A. J., & Fraenkel, E. (2018) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2018.08.006 · Cited by 20

Using EEG-Guided Basket and Umbrella Trials in Psychiatry: A Precision Medicine Approach for Cognitive Impairment in Schizophrenia

Joshi, Y. B., & Light, G. A. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00554 · Cited by 20

Advances in PET Diagnostics for Guiding Targeted Cancer Therapy and Studying In Vivo Cancer Biology

Mankoff, D. A., Pantel, A. R., Viswanath, V., & Karp, J. S. (2019) · Current Pathobiology Reports · doi:10.1007/s40139-019-00202-9 · Cited by 20

Co-clinical Analysis of a Genetically Engineered Mouse Model and Human Prostate Cancer Reveals Significance of NKX3.1 Expression for Response to 5α-reductase Inhibition

Dutta, A., Panja, S., Virk, R. K., Kim, J. Y., Piantedosi, R., Cremers, S., Golombos, D. M., Liu, D., Mosquera, J. M., Mostaghel, E. A., et al. (2017) · European Urology · doi:10.1016/j.eururo.2017.03.031 · Cited by 20

HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer

Liu, Y., Tong, S., & Chen, Y. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.08.036 · Cited by 19

Neural Network‐Enabled Multiparametric Impedance Signal Templating for High throughput Single‐Cell Deformability Cytometry Under Viscoelastic Extensional Flows

Jarmoshti, J., Siddique, A., Rane, A., Mirhosseini, S., Adair, S. J., Bauer, T. W., Caselli, F., & Swami, N. S. (2024) · Small · doi:10.1002/smll.202407212 · Cited by 19

Advanced bioanalytics for precision medicine

Roda, A., Michelini, E., Caliceti, C., Guardigli, M., Mirasoli, M., & Simoni, P. (2017) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-017-0660-8 · Cited by 19

Molecular heterogeneity in diffuse large B-cell lymphoma and its implications in clinical diagnosis and treatment

Guo, L., Lin, P., Xiong, H., Tu, S., & Chen, G. (2018) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2018.01.001 · Cited by 20

A Chemosensitivity Study of Colorectal Cancer Using Xenografts of Patient-Derived Tumor-Initiating Cells

Maekawa, H., Miyoshi, H., Yamaura, T., Itatani, Y., Kawada, K., Sakai, Y., & Taketo, M. M. (2018) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-18-0128 · Cited by 19

The Australian Medical Oncologist Workforce Survey: The profile and challenges of medical oncology

Lwin, Z., Broom, A. F., Sibbritt, D. W., Francis, K., Karapetis, C. S., Karikios, D. J., & Harrup, R. A. (2018) · Seminars in Oncology · doi:10.1053/j.seminoncol.2018.06.004 · Cited by 19

Multidrug Analyses in Patients Distinguish Efficacious Cancer Agents Based on Both Tumor Cell Killing and Immunomodulation

Frazier, J. P., Bertout, J. A., Kerwin, W. S., Moreno‐Gonzalez, A., Casalini, J. R., Grenley, M. O., Beirne, E., Watts, K. L., Keener, A., Thirstrup, D. J., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0084 · Cited by 18

pH-Sensitive Ratiometric Fluorescent Probe for Evaluation of Tumor Treatments

Zhang, P., Meng, J., Li, Y., Wang, Z., & Hou, Y. (2019) · Materials · doi:10.3390/ma12101632 · Cited by 18

Aging Well: Using Precision to Drive Down Costs and Increase Health Quality

Au, R., Ritchie, M., Hardy, S., Ang, T. F. A., & Lin, H. (2019) · Advances in Geriatric Medicine and Research · doi:10.20900/agmr20190003 · Cited by 21

Basket trials: From tumour gnostic to tumour agnostic drug development

Dittrich, C. (2020) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2020.102082 · Cited by 18

Single-Cell Analysis of Signaling Proteins Provides Insights into Proapoptotic Properties of Anticancer Drugs

Wen, Y., Liu, J., He, H., Li, S. S. ‐., & Liu, Z. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c02344 · Cited by 18

Precision Medicine Is Changing the Roles of Healthcare Professionals, Scientists, and Research Staff: Learnings from a Childhood Cancer Precision Medicine Trial

Daly, R., Hetherington, K., Hazell, E. C., Wadling, B. R., Tyrrell, V. J., Tucker, K., Marshall, G. M., Ziegler, D. S., Lau, L. M. S., Trahair, T. N., et al. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13071033 · Cited by 17

MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery

Zhang, W., Mou, M., Hu, W., Lu, M., Zhang, H., Zhang, H., Luo, Y., Xu, H., Tao, L., Dai, H., et al. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c00013 · Cited by 17

Application of Multimodality Imaging Fusion Technology in Diagnosis and Treatment of Malignant Tumors under the Precision Medicine Plan

Wang, S.-Y., Chen, X., Li, Y., & Zhang, Y. (2016) · Chinese Medical Journal · doi:10.4103/0366-6999.195467 · Cited by 17

High-Content Biopsies Facilitate Molecular Analyses and Do Not Increase Complication Rates in Patients With Advanced Solid Tumors

Frenk, N. E., Spring, L. M., Muzikansky, A., Vadvala, H. V., Gurski, J. M., Henderson, L. E., Mino-Kenudson, M. A., Ly, A., Bardia, A., Finkelstein, D. M., et al. (2017) · JCO Precision Oncology · doi:10.1200/po.17.00081 · Cited by 17

A multidimensional impedance platform for the real-time analysis of single and combination drug pharmacology in patient-derived viable melanoma models

Seidel, D., Rothe, R., Kirsten, M., Jahnke, H., Dumann, K., Ziemer, M., Simon, J., & Robitzki, A. A. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.08.049 · Cited by 17

Cholangiocarcinoma: bridging the translational gap from preclinical to clinical development and implications for future therapy

Baiocchi, L., Sato, K., Ekser, B., Kennedy, L. L., Francis, H., Ceci, L., Lenci, I., Alvaro, D., Franchitto, A., Onori, P., et al. (2020) · Expert Opinion on Investigational Drugs · doi:10.1080/13543784.2021.1854725 · Cited by 17

Demystifying the Advancements of Big Data Analytics in Medical Diagnosis: An Overview

Naik, N., Rallapalli, Y., Krishna, M., Vellara, A. S., Shetty, D. K., Patil, V., Hameed, B. M. Z., Paul, R., Prabhu, N., Rai, B. P., et al. (2022) · Engineered Science · doi:10.30919/es8d580 · Cited by 18

Mass spectrometric detection of KRAS protein mutations using molecular imprinting

Norman, R. L., Singh, R., Muskett, F. W., Parrott, E. L., Rufini, A., Langridge, J., Runau, F., Dennison, A. R., Shaw, J., Piletska, E. V., et al. (2021) · Nanoscale · doi:10.1039/d1nr03180e · Cited by 17

Multiplexed Evaluation of Microdosed Antineoplastic Agents In Situ in the Tumor Microenvironment of Patients with Soft Tissue Sarcoma

Gundle, K. R., Deutsch, G. B., Goodman, H. J., Pollack, S. M., Thompson, M. J., Davis, J. L., Lee, M.-Y., Ramirez, D. C., Kerwin, W. S., Bertout, J. A., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-0614 · Cited by 17

Integrative analysis of multi-platform reverse-phase protein array data for the pharmacodynamic assessment of response to targeted therapies

Byron, A., Bernhardt, S., Ouine, B., Cartier, A., MacLeod, K. G., Carragher, N. O., Sibut, V., Korf, U., Serrels, B., & de Koning, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-77335-0 · Cited by 17

The prospects of tumor chemosensitivity testing at the single-cell level

Yang, C., Yang, C., Yarden, Y., To, K. K. W., & Fu, L. (2020) · Drug Resistance Updates · doi:10.1016/j.drup.2020.100741 · Cited by 16

A Three-Dimensional Printed Inertial Microfluidic Platform for Isolation of Minute Quantities of Vital Mitochondria

Lee, C., Chen, Y., Wang, P., Wallace, D. C., & Burke, P. J. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c03244 · Cited by 16

Impact of Opioids on Cellular Metabolism: Implications for Metabolic Pathways Involved in Cancer

Tarazi, D., & Maynes, J. T. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15092225 · Cited by 16

Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer

Lindahl, G., Fjellander, S., Selvaraj, K., Vildevall, M., Ali, Z., Almter, R., Erkstam, A., Rodriguez, G. V., Abrahamsson, A. E., Kersley, Å. R., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00550-9 · Cited by 16

Sustainable nanomaterials for precision medicine in cancer therapy

Bigham, A., Zarepour, A., Khosravi, A., Iravani, S., & Zarrabi, A. (2024) · Materials Today Sustainability · doi:10.1016/j.mtsust.2024.100865 · Cited by 16

Advances in cancer therapy: a critical review of β-cyclodextrins conjugated nanoparticle delivery systems as molecularly targeted therapies

Yadav, S., Bukke, S. P. N., Prajapati, S., Ansari, I., Tomar, P., Jai, R., Vardhan, J., Chettupalli, A. K., Thalluri, C., Eftekhari, Z., et al. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125937 · Cited by 16

Imaging of Extracellular pH Using Hyperpolarized Molecules

Hundshammer, C., Düwel, S., & Schilling, F. (2017) · Israel Journal of Chemistry · doi:10.1002/ijch.201700017 · Cited by 16

Treatment of acute myeloid leukemia in the next decade – Towards real-time functional testing and personalized medicine

Lam, S. S. Y., He, A. B.-L., & Leung, A. Y. H. (2017) · Blood Reviews · doi:10.1016/j.blre.2017.08.001 · Cited by 16

Small Molecule Inhibitors Targeting Key Proteins in the DNA Damage Response for Cancer Therapy

Li, L., Kumar, A. K., Hu, Z., & Guo, Z. (2020) · Current Medicinal Chemistry · doi:10.2174/0929867327666200224102309 · Cited by 17

Real-time lipid patterns to classify viable and necrotic liver tumors

Vaysse, P., Grabsch, H. I., van den Hout, M. F. C. M., Bemelmans, M. H. A., Heeren, R. M. A., Damink, S. W. M. O., & Siegel, T. P. (2021) · Laboratory Investigation · doi:10.1038/s41374-020-00526-w · Cited by 16

Loon: Using Exemplars to Visualize Large-Scale Microscopy Data

Lange, D., Polanco, E., Judson-Torres, R., Zangle, T. A., & Lex, A. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114766 · Cited by 16

Faculty of Bioscience Engineering

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Phototherapeutic antibacterial applications of porphyrin-based metal–organic frameworks

Cheng, Q., Chen, M., Yuan, Z., Wang, W., & Zheng, X. (2025) · Chemical Communications · doi:10.1039/d5cc04455c · Cited by 15

Mass Spectrometric-Based Proteomics for Biomarker Discovery in Osteosarcoma: Current Status and Future Direction

Sirikaew, N., Pruksakorn, D., Chaiyawat, P., & Chutipongtanate, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179741 · Cited by 15

BRAF-mediated brain tumors in adults and children: A review and the Australian and New Zealand experience

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Liquid Chromatography–Mass Spectrometry Screening of Cyclophosphamide DNA Damage In Vitro and in Patients Undergoing Chemotherapy Treatment

Guidolin, V., Jacobs, F. C., MacMillan, M. L., Villalta, P. W., & Balbo, S. (2023) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.3c00008 · Cited by 15

Towards the Design of a Patient-Specific Virtual Tumour

Caraguel, F., Lesart, A.-C., Estève, F., van der Sanden, B. P. J., & Stéphanou, A. (2016) · Computational and Mathematical Methods in Medicine · doi:10.1155/2016/7851789 · Cited by 17

Discovering novel valid biomarkers and drugs in patient-centric genomic trials: the new epoch of precision surgical oncology

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Rapid screening for individualized chemotherapy optimization of colorectal cancer: A novel conditional reprogramming technology-based functional diagnostic assay.

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Ex Vivo Analysis of Primary Tumor Specimens for Evaluation of Cancer Therapeutics

Tognon, C. E., Sears, R. C., Mills, G. B., Gray, J. W., & Tyner, J. W. (2020) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-043020-125955 · Cited by 15

Comprehensive analysis of a new prognosis signature based on histone deacetylases in clear cell renal cell carcinoma

Cheng, F., Zheng, B., Wang, J., Zhao, G., Yao, Z., Niu, Z., & He, W. (2021) · Cancer Medicine · doi:10.1002/cam4.4156 · Cited by 16

Primer on Hereditary Cancer Predisposition Genes Included Within Somatic Next-Generation Sequencing Panels

Akras, Z., Bungo, B., Leach, B. H., Marquard, J., Ahluwalia, M. S., Carraway, H. E., Grivas, P. D., Sohal, D. P. S., & Funchain, P. (2019) · JCO Precision Oncology · doi:10.1200/po.18.00258 · Cited by 15

Conditionally reprogrammed colorectal cancer cells combined with mouse avatars identify synergy between EGFR and MEK or CDK4/6 inhibitors.

Wang, Y., Liao, H., Zheng, T., Wang, J., Guo, D., Lü, Z., Li, Z., Chen, Y., Shen, L., Zhang, Y., et al. (2020) · PubMed Central · Cited by 15

Signaling pathway profiling using reverse-phase protein array and its clinical applications

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Cancer nanomedicine: Concepts, promises, and challenges

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Cancer drug response prediction with surrogate modeling-based graph neural architecture search

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Microphysiological model reveals the promise of memory-like natural killer cell immunotherapy for HIV± cancer

Ayuso, J. M., Farooqui, M. A., Virumbrales-Muñoz, M., Denecke, K., Rehman, S., Schmitz, R. L., Guerrero, J. F., Sánchez‐de‐Diego, C., Abizanda-Campo, S., Maly, E. M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41625-8 · Cited by 14

Emerging nanoradiosensitizers and nanoradioprotectants for enhanced cancer theranostics

Zhao, L., Sun, Y., Fu, Q., & Xiao, W. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.157554 · Cited by 14

Prognostic significance of EIF4G1 in patients with pancreatic ductal adenocarcinoma

Goh, T. S., Ha, M., Lee, J. S., Jeong, D. C., Jung, E. S., Han, M., Kim, Y. H., & Oh, S. (2019) · OncoTargets and Therapy · doi:10.2147/ott.s202101 · Cited by 14

Rapid antimicrobial susceptibility tests on an integrated microfluidic device for precision medicine of antibiotics

Lee, W.-B., Chien, C., You, H., Kuo, F., Lee, M. S.-S., & Lee, G. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112890 · Cited by 14

High expression of syndecan-4 is related to clinicopathological features and poor prognosis of pancreatic adenocarcinoma

Zhu, Y., Zheng, D., Lei, L., Cai, K., Xie, H., Zheng, J., & Yu, C. (2022) · BMC Cancer · doi:10.1186/s12885-022-10128-y · Cited by 14

Functional precision cancer medicine—moving beyond pure genomics

Letai, A. (2017) · Nature Medicine · doi:10.1038/nm.4389 · Cited by 366

Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations

Letai, A. G., Bhola, P. D., & Welm, A. L. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.12.004 · Cited by 282

Progress towards precision functional genomics in cancer

Johannessen, C. M., & Boehm, J. S. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.02.002 · Cited by 6

Precision systems medicine in urological Tumors – Molecular profiling and functional testing

Saeed, K., Ojamies, P., Pellinen, T. S., Rahkama, V., Eldfors, S., Paavolainen, L., Turkki, R., Horváth, P., Lundin, J. E., Nísen, H., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx508

Genome-guided discovery of cancer therapeutic targets

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