We are pleased to invite you to read the highly cited papers published in Cancers in 2023 (ISSN: 2072-6694) in the Section “Cancer Informatics and Big Data”. We hope this announcement will provide useful information for this field.

The papers list is as follows:

“Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis”
by Hanan Abdullah Mengash, Mohammad Alamgeer, Mashael Maashi, Mahmoud Othman, Manar Ahmed Hamza, Sara Saadeldeen Ibrahim, Abu Sarwar Zamani and Ishfaq Yaseen
Cancers 2023, 15(5), 1591; https://doi.org/10.3390/cancers15051591
Available online: https://www.mdpi.com/2072-6694/15/5/1591

“Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review”
by Wilson Ong, Lei Zhu, Yi Liang Tan, Ee Chin Teo, Jiong Hao Tan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur et al.
Cancers 2023, 15(6), 1837; https://doi.org/10.3390/cancers15061837
Available online: https://www.mdpi.com/2072-6694/15/6/1837

“Population-Based Clinical Cancer Registration in Germany”
by Alexander Katalinic, Marco Halber, Martin Meyer, Maren Pflüger, Andrea Eberle, Alice Nennecke, Soo-Zin Kim-Wanner, Tobias Hartz, Kerstin Weitmann, Andreas Stang et al.
Cancers 2023, 15(15), 3934; https://doi.org/10.3390/cancers15153934
Available online: https://www.mdpi.com/2072-6694/15/15/3934

“Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy”
by Lok-Man Ho, Sai-Kit Lam, Jiang Zhang, Chi-Leung Chiang, Albert Chi-Yan Chan and Jing Cai
Cancers 2023, 15(4), 1105; https://doi.org/10.3390/cancers15041105
Available online: https://www.mdpi.com/2072-6694/15/4/1105

“Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic Features”
by Xingfeng Li, Michele Dessi, Diana Marcus, James Russell, Eric O. Aboagye, Laura Burney Ellis, Alexander Sheeka, Won-Ho Edward Park, Nishat Bharwani, Sadaf Ghaem-Maghami et al.
Cancers 2023, 15(8), 2209; https://doi.org/10.3390/cancers15082209
Available online: https://www.mdpi.com/2072-6694/15/8/2209

“Involvement of Epithelial–Mesenchymal Transition Genes in Small Cell Lung Cancer Phenotypic Plasticity”
by Sarah M. Groves, Nicholas Panchy, Darren R. Tyson, Leonard A. Harris, Vito Quaranta and Tian Hong
Cancers 2023, 15(5), 1477; https://doi.org/10.3390/cancers15051477
Available online: https://www.mdpi.com/2072-6694/15/5/1477

“Exact Probability Distribution for the ROC Area under Curve”
by Joakim Ekström, Jim Åkerrén Ögren and Tobias Sjöblom
Cancers 2023, 15(6), 1788; https://doi.org/10.3390/cancers15061788
Available online: https://www.mdpi.com/2072-6694/15/6/1788

“Unlocking the Power of Benchmarking: Real-World-Time Data Analysis for Enhanced Sarcoma Patient Outcomes”
by Bruno Fuchs, Georg Schelling, Maria Elyes, Gabriela Studer, Beata Bode-Lesniewska, Mario F. Scaglioni, Pietro Giovanoli, Philip Heesen and on behalf of the Swiss Sarcoma Network
Cancers 2023, 15(17), 4395; https://doi.org/10.3390/cancers15174395
Available online: https://www.mdpi.com/2072-6694/15/17/4395

“Impact of Stain Normalization on Pathologist Assessment of Prostate Cancer: A Comparative Study”
by Massimo Salvi, Alessandro Caputo, Davide Balmativola, Manuela Scotto, Orazio Pennisi, Nicola Michielli, Alessandro Mogetta, Filippo Molinari and Filippo Fraggetta
Cancers 2023, 15(5), 1503; https://doi.org/10.3390/cancers15051503
Available online: https://www.mdpi.com/2072-6694/15/5/1503

“Prospects of POLD1 in Human Cancers: A Review”
by Michał Gola, Przemysław Stefaniak, Janusz Godlewski, Barbara Alicja Jereczek-Fossa and Anna Starzyńska
Cancers 2023, 15(6), 1905; https://doi.org/10.3390/cancers15061905
Available online: https://www.mdpi.com/2072-6694/15/6/1905

You are invited to view and submit relevant papers to the journal Cancers.

Cancers Editorial Office