We are pleased to invite you to read the highly cited papers in 2022 from the Journal of Personalized Medicine (JPM, ISSN: 2075-4426), on the topic of precision oncology. The paper list is as follows:

1. “Atlas of PD-L1 for Pathologists: Indications, Scores, Diagnostic Platforms and Reporting Systems”
by Stefano Marletta, Nicola Fusco, Enrico Munari, Claudio Luchini, Alessia Cimadamore, Matteo Brunelli, Giulia Querzoli, Maurizio Martini, Elena Vigliar, Romano Colombari et al.
J. Pers. Med. 2022, 12(7), 1073; https://doi.org/10.3390/jpm12071073
Available online: https://www.mdpi.com/2075-4426/12/7/1073

2. “Sensory Ion Channel Candidates Inform on the Clinical Course of Pancreatic Cancer and Present Potential Targets for Repurposing of FDA-Approved Agents”
by Wenjie Shi, Chen Li, Thomas Wartmann, Christoph Kahlert, Renfei Du, Aristotelis Perrakis, Thomas Brunner, Roland S. Croner and Ulf D. Kahlert
J. Pers. Med. 2022, 12(3), 478; https://doi.org/10.3390/jpm12030478
Available online: https://www.mdpi.com/2075-4426/12/3/478

3. “Identification of Early Esophageal Cancer by Semantic Segmentation”
by Yu-Jen Fang, Arvind Mukundan, Yu-Ming Tsao, Chien-Wei Huang and Hsiang-Chen Wang
J. Pers. Med. 2022, 12(8), 1204; https://doi.org/10.3390/jpm12081204
Available online: https://www.mdpi.com/2075-4426/12/8/1204

4. “Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges”
by Francisco Silva, Tania Pereira, Inês Neves, Joana Morgado, Cláudia Freitas, Mafalda Malafaia, Joana Sousa, João Fonseca, Eduardo Negrão, Beatriz Flor de Lima et al.
J. Pers. Med. 2022, 12(3), 480; https://doi.org/10.3390/jpm12030480
Available online: https://www.mdpi.com/2075-4426/12/3/480

5. “Design and Development of an Intelligent Clinical Decision Support System Applied to the Evaluation of Breast Cancer Risk”
by Manuel Casal-Guisande, Alberto Comesaña-Campos, Inês Dutra, Jorge Cerqueiro-Pequeño and José-Benito Bouza-Rodríguez
J. Pers. Med. 2022, 12(2), 169; https://doi.org/10.3390/jpm12020169
Available online: https://www.mdpi.com/2075-4426/12/2/169

6. “Machine Learning-Assisted FTIR Analysis of Circulating Extracellular Vesicles for Cancer Liquid Biopsy”
by Riccardo Di Santo, Maria Vaccaro, Sabrina Romanò, Flavio Di Giacinto, Massimiliano Papi, Gian Ludovico Rapaccini, Marco De Spirito, Luca Miele, Umberto Basile and Gabriele Ciasca
J. Pers. Med. 2022, 12(6), 949; https://doi.org/10.3390/jpm12060949
Available online: https://www.mdpi.com/2075-4426/12/6/949

7. “CDK1 and HSP90AA1 Appear as the Novel Regulatory Genes in Non-Small Cell Lung Cancer: A Bioinformatics Approach”
by Nirjhar Bhattacharyya, Samriddhi Gupta, Shubham Sharma, Aman Soni, Sali Abubaker Bagabir, Malini Bhattacharyya, Atreyee Mukherjee, Atiah H. Almalki, Mustfa F. Alkhanani, Shafiul Haqu et al.
J. Pers. Med. 2022, 12(3), 393; https://doi.org/10.3390/jpm12030393
Available online: https://www.mdpi.com/2075-4426/12/3/393

8. ”Construction of a miRNA-Based Nomogram Model to Predict the Prognosis of Endometrial Cancer”
by Leyi Ni, Chengyun Tang, Yuning Wang, Jiaming Wan, Morgan G. Charles, Zilong Zhang, Chen Li, Ruijie Zeng, Yiyao Jin, Penghao Song et al.
J. Pers. Med. 2022, 12(7), 1154; https://doi.org/10.3390/jpm12071154
Available online: https://www.mdpi.com/2075-4426/12/7/1154

9. “Explainable Artificial Intelligence for Prediction of Complete Surgical Cytoreduction in Advanced-Stage Epithelial Ovarian Cancer”
by Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, Amudha Thangavelu, Constantine Tarabanis, David Nugent and Diederick De Jong
J. Pers. Med. 2022, 12(4), 607; https://doi.org/10.3390/jpm12040607
Available online: https://www.mdpi.com/2075-4426/12/4/607

10. “Thyroid Diseases and Breast Cancer”
by Enke Baldini, Augusto Lauro, Domenico Tripodi, Daniele Pironi, Maria Ida Amabile, Iulia Catalina Ferent, Eleonora Lori, Federica Gagliardi, Maria Irene Bellini, Flavio Forte et al.
J. Pers. Med. 2022, 12(2), 156; https://doi.org/10.3390/jpm12020156
Available online: https://www.mdpi.com/2075-4426/12/2/156

11. “Use of Circulating Tumour DNA (ctDNA) for Measurement of Therapy Predictive Biomarkers in Patients with Cancer”
by Michael J. Duffy and John Crown
J. Pers. Med. 2022, 12(1), 99; https://doi.org/10.3390/jpm12010099
Available online: https://www.mdpi.com/2075-4426/12/1/99

12. “CD24: A Novel Target for Cancer Immunotherapy”
by Emmanouil Panagiotou, Nikolaos K. Syrigos, Andriani Charpidou, Elias Kotteas and Ioannis A. Vathiotis
J. Pers. Med. 2022, 12(8), 1235; https://doi.org/10.3390/jpm12081235
Available online: https://www.mdpi.com/2075-4426/12/8/1235

13. “Diffuse Intrinsic Pontine Glioma: Molecular Landscape, Evolving Treatment Strategies and Emerging Clinical Trials”
by Sudarshawn Damodharan, Montserrat Lara-Velazquez, Brooke Carmen Williamsen, Jeffrey Helgager and Mahua Dey
J. Pers. Med. 2022, 12(5), 840; https://doi.org/10.3390/jpm12050840
Available online: https://www.mdpi.com/2075-4426/12/5/840

14. “Multi-Class Classification of Breast Cancer Using 6B-Net with Deep Feature Fusion and Selection Method”
by Muhammad Junaid Umer, Muhammad Sharif, Seifedine Kadry and Abdullah Alharbi
J. Pers. Med. 2022, 12(5), 683; https://doi.org/10.3390/jpm12050683
Available online: https://www.mdpi.com/2075-4426/12/5/683

15. “Precision Medicine for Hepatocellular Carcinoma: Clinical Perspective”
by Danijel Galun, Dragana Mijac, Aleksandar Filipovic, Aleksandar Bogdanovic, Marko Zivanovic and Dragan Masulovic
J. Pers. Med. 2022, 12(2), 149; https://doi.org/10.3390/jpm12020149
Available online: https://www.mdpi.com/2075-4426/12/2/149