Cancers | Highly Viewed Papers and Hot Topic Special Issues on Cancer Informatics and Big Data

We are delighted to share a collection of highly viewed papers on cancer informatics and big data that were published in Cancers (ISSN: 2072-6694) in the first half of 2025. In addition, some Special Issues on this topic are currently open for submission. The following is a list of articles and Special Issues that we believe may be of interest to you:

The list of relevant papers can be seen below:

“Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models”
by Rukiye Disci, Fatih Gurcan and Ahmet Soylu
Cancers 2025, 17(1), 121; https://doi.org/10.3390/cancers17010121
Available online: https://www.mdpi.com/2072-6694/17/1/121

“A Scoping Review of Infrared Spectroscopy and Machine Learning Methods for Head and Neck Precancer and Cancer Diagnosis and Prognosis”
by Shahd A. Alajaji, Roya Sabzian, Yong Wang, Ahmed S. Sultan and Rong Wang
Cancers 2025, 17(5), 796; https://doi.org/10.3390/cancers17050796
Available online: https://www.mdpi.com/2072-6694/17/5/796

“Global Literature Analysis of Tumor Organoid and Tumor-on-Chip Research”
by Jun-ya Shoji, Richard P. Davis, Christine L. Mummery and Stefan Krauss
Cancers 2025, 17(1), 108; https://doi.org/10.3390/cancers17010108
Available online: https://www.mdpi.com/2072-6694/17/1/108

“Genomic Characterization of Chordoma: Insights from the AACR Project GENIE Database”
by Beau Hsia, Gabriel Bitar, Saif A. Alshaka, Jeeho D. Kim, Bastien A. Valencia-Sanchez, Farhoud Faraji, Michael G. Brandel, Mariko Sato, John Ross Crawford, Michael L. Levy et al.
Cancers 2025, 17(3), 536; https://doi.org/10.3390/cancers17030536
Available online: https://www.mdpi.com/2072-6694/17/3/536

“Harnessing Artificial Intelligence in Pediatric Oncology Diagnosis and Treatment: A Review”
by Mubashir Hassan, Saba Shahzadi and Andrzej Kloczkowski
Cancers 2025, 17(11), 1828; https://doi.org/10.3390/cancers17111828
Available online: https://www.mdpi.com/2072-6694/17/11/1828

“The Use of an Integrated Digital Tool to Improve the Efficiency of Multidisciplinary Tumor Boards—A Prospective Trial in Taiwan”
by Linda Chia-Fang Chang, Hsuan-Chih Kuo, Hung-Ming Wang, Yung-Chia Kuo, Ching-Ting Wang, Li-Chin Chen and Jason Chia-Hsun Hsieh
Cancers 2025, 17(3), 444; https://doi.org/10.3390/cancers17030444
Available online: https://www.mdpi.com/2072-6694/17/3/444

Special Issues:

You can view and submit relevant papers to Cancers via the following link: https://www.mdpi.com/journal/cancers.

Cancers Editorial Office