Cancers (ISSN: 2072-6694) is an open access journal, thus granting our readers free and unlimited access to the full text of all articles. We welcome you to read our selected papers related to cancer informatics and big data in 2024, which are listed below:

1. “Predictive and Prognostic Relevance of Tumor-Infiltrating Immune Cells: Tailoring Personalized Treatments against Different Cancer Types”
by Tikam Chand Dakal, Nancy George, Caiming Xu, Prashanth Suravajhala and Abhishek Kumar
Cancers 2024, 16(9), 1626; https://doi.org/10.3390/cancers16091626
Available online: https://www.mdpi.com/2072-6694/16/9/1626

2. “NDRGs in Breast Cancer: A Review and In Silico Analysis”
by Emilly S. Villodre, Anh P. N. Nguyen and Bisrat G. Debeb
Cancers 2024, 16(7), 1342; https://doi.org/10.3390/cancers16071342
Available online: https://www.mdpi.com/2072-6694/16/7/1342

3. “PathoGraph: An Attention-Based Graph Neural Network Capable of Prognostication Based on CD276 Labelling of Malignant Glioma Cells”
by Islam Alzoubi, Lin Zhang, Yuqi Zheng, Christina Loh, Xiuying Wang and Manuel B. Graeber
Cancers 2024, 16(4), 750; https://doi.org/10.3390/cancers16040750
Available online: https://www.mdpi.com/2072-6694/16/4/750

4. “Identification of Interpretable Clusters and Associated Signatures in Breast Cancer Single-Cell Data: A Topic Modeling Approach”
by Gabriele Malagoli, Filippo Valle, Emmanuel Barillot, Michele Caselle and Loredana Martignetti
Cancers 2024, 16(7), 1350; https://doi.org/10.3390/cancers16071350
Available online: https://www.mdpi.com/2072-6694/16/7/1350

5. “Single-Cell Profiling Reveals the Impact of Genetic Alterations on the Differentiation of Inflammation-Induced Murine Colon Tumors”
by Ahmed H. Ghobashi, Rosie Lanzloth, Christopher A. Ladaika, Ashiq Masood and Heather M. O’Hagan
Cancers 2024, 16(11), 2040; https://doi.org/10.3390/cancers16112040
Available online: https://www.mdpi.com/2072-6694/16/11/2040

6. “Enhancing Cancerous Gene Selection and Classification for High-Dimensional Microarray Data Using a Novel Hybrid Filter and Differential Evolutionary Feature Selection”
by Arshad Hashmi, Waleed Ali, Anas Abulfaraj, Faisal Binzagr and Entisar Alkayal
Cancers 2024, 16(23), 3913; https://doi.org/10.3390/cancers16233913
Available online: https://www.mdpi.com/2072-6694/16/23/3913

7. “Ulcerative Colitis, LAIR1 and TOX2 Expression, and Colorectal Cancer Deep Learning Image Classification Using Convolutional Neural Networks”
by Joaquim Carreras, Giovanna Roncador and Rifat Hamoudi
Cancers 2024, 16(24), 4230; https://doi.org/10.3390/cancers16244230
Available online: https://www.mdpi.com/2072-6694/16/24/4230

8. “Is the Validity of Logistic Regression Models Developed with a National Hospital Database Inferior to Models Developed from Clinical Databases to Analyze Surgical Lung Cancers?”
by Alain Bernard, Jonathan Cottenet and Catherine Quantin
Cancers 2024, 16(4), 734; https://doi.org/10.3390/cancers16040734
Available online: https://www.mdpi.com/2072-6694/16/4/734

9. “Deep Learning for Melanoma Detection: A Deep Learning Approach to Differentiating Malignant Melanoma from Benign Melanocytic Nevi”
by Magdalini Kreouzi, Nikolaos Theodorakis, Georgios Feretzakis, Evgenia Paxinou, Aikaterini Sakagianni, Dimitris Kalles, Athanasios Anastasiou, Vassilios S. Verykios and Maria Nikolaou
Cancers 2025, 17(1), 28; https://doi.org/10.3390/cancers17010028
Available online: https://www.mdpi.com/2072-6694/17/1/28

10. “Robustness Assessment of Oncology Dose-Finding Trials Using the Modified Fragility Index”
by Amy X. Shi, Heng Zhou, Lei Nie, Lifeng Lin, Hongjian Li and Haitao Chu
Cancers 2024, 16(20), 3504; https://doi.org/10.3390/cancers16203504
Available online: https://www.mdpi.com/2072-6694/16/20/3504

You can view more papers and submit your own manuscript to Cancers via https://www.mdpi.com/journal/cancers.

Cancers Editorial Office