As all of the articles published in Cancers (ISSN: 2072-6694) are open access, you have free and unlimited access to the full text of all articles. We welcome you to read our most highly cited papers published in 2023. The list of relevant papers can be seen below.

1. “Current Status and Future Prospects for Esophageal Cancer”
by Mahdi Sheikh, Gholamreza Roshandel, Valerie McCormack and Reza Malekzadeh
Cancers 2023, 15(3), 765; https://doi.org/10.3390/cancers15030765
Available online: https://www.mdpi.com/2072-6694/15/3/765

2.  “Mechanisms of ADC Toxicity and Strategies to Increase ADC Tolerability”
by Toan D. Nguyen, Brandon M. Bordeau and Joseph P. Balthasar
Cancers 2023, 15(3), 713; https://doi.org/10.3390/cancers15030713
Available online: https://www.mdpi.com/2072-6694/15/3/713

3. “What Is Known about Breast Cancer in Young Women?”
by Jie Wei Zhu, Parsa Charkhchi, Shadia Adekunte and Mohammad R. Akbari
Cancers 2023, 15(6), 1917; https://doi.org/10.3390/cancers15061917
Available online: https://www.mdpi.com/2072-6694/15/6/1917

4. “Drugs Targeting p53 Mutations with FDA Approval and in Clinical Trials”
by Shigeto Nishikawa and Tomoo Iwakuma
Cancers 2023, 15(2), 429; https://doi.org/10.3390/cancers15020429
Available online: https://www.mdpi.com/2072-6694/15/2/429

5. “Steroidal Saponins: Naturally Occurring Compounds as Inhibitors of the Hallmarks of Cancer”
by Salwa Bouabdallah, Amna Al-Maktoum and Amr Amin
Cancers 2023, 15(15), 3900; https://doi.org/10.3390/cancers15153900
Available online: https://www.mdpi.com/2072-6694/15/15/3900

6. “Hepatitis Virus and Hepatocellular Carcinoma: Recent Advances”
by Chen Shen, Xin Jiang, Mei Li and Yao Luo
Cancers 2023, 15(2), 533; https://doi.org/10.3390/cancers15020533
Available online: https://www.mdpi.com/2072-6694/15/2/533

7. “Sodium Butyrate Induces CRC Cell Ferroptosis via the CD44/SLC7A11 Pathway and Exhibits a Synergistic Therapeutic Effect with Erastin”
by Zhongbo Bian, Xiaodie Sun, Lulin Liu, Yong Qin, Qiuyu Zhang, Huahuan Liu, Lianzhi Mao and Suxia Sun
Cancers 2023, 15(2), 423; https://doi.org/10.3390/cancers15020423
Available online: https://www.mdpi.com/2072-6694/15/2/423

8. “AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions”
by Navneet Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar and Pawel Plawiak
Cancers 2023, 15(4), 1183; https://doi.org/10.3390/cancers15041183
Available online: https://www.mdpi.com/2072-6694/15/4/1183

9. “Hyperparameter Optimizer with Deep Learning-Based Decision-Support Systems for Histopathological Breast Cancer Diagnosis”
by Marwa Obayya, Mashael S. Maashi, Nadhem Nemri, Heba Mohsen, Abdelwahed Motwakel, Azza Elneil Osman, Amani A. Alneil and Mohamed Ibrahim Alsaid
Cancers 2023, 15(3), 885; https://doi.org/10.3390/cancers15030885
Available online: https://www.mdpi.com/2072-6694/15/3/885

10. “Management of Patients Diagnosed with Endometrial Cancer: Comparison of Guidelines”
by Stefano Restaino, Chiara Paglietti, Martina Arcieri, Anna Biasioli, Monica Della Martina, Laura Mariuzzi, Claudia Andreetta, Francesca Titone, Giorgio Bogani, Diego Raimondo et al.
Cancers 2023, 15(4), 1091; https://doi.org/10.3390/cancers15041091
Available online: https://www.mdpi.com/2072-6694/15/4/1091

11. “Osimertinib Resistance: Molecular Mechanisms and Emerging Treatment Options”
by Georgia Gomatou, Nikolaos Syrigos and Elias Kotteas
Cancers 2023, 15(3), 841; https://doi.org/10.3390/cancers15030841
Available online: https://www.mdpi.com/2072-6694/15/3/841

12. “Value of Artificial Intelligence in Evaluating Lymph Node Metastases”
by Nicolò Caldonazzi, Paola Chiara Rizzo, Albino Eccher, Ilaria Girolami, Giuseppe Nicolò Fanelli, Antonio Giuseppe Naccarato, Giuseppina Bonizzi, Nicola Fusco, Giulia d’Amati, Aldo Scarpa et al.
Cancers 2023, 15(9), 2491; https://doi.org/10.3390/cancers15092491
Available online: https://www.mdpi.com/2072-6694/15/9/2491

13. “Risk of Cancer in Patients with Inflammatory Bowel Diseases and Keys for Patient Management”
by Viviana Laredo, Sandra García-Mateo, Samuel J. Martínez-Domínguez, Julia López de la Cruz, Carla J. Gargallo-Puyuelo and Fernando Gomollón
Cancers 2023, 15(3), 871; https://doi.org/10.3390/cancers15030871
Available online: https://www.mdpi.com/2072-6694/15/3/871

14. “Deep Learning for Medical Image-Based Cancer Diagnosis”
by Xiaoyan Jiang, Zuojin Hu, Shuihua Wang and Yudong Zhang
Cancers 2023, 15(14), 3608; https://doi.org/10.3390/cancers15143608
Available online: https://www.mdpi.com/2072-6694/15/14/3608

15. “The Function of NK Cells in Tumor Metastasis and NK Cell-Based Immunotherapy”
by Yanlin Yu
Cancers 2023, 15(8), 2323; https://doi.org/10.3390/cancers15082323
Available online: https://www.mdpi.com/2072-6694/15/8/2323

16. “APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification”
by Prabhu Kavin Balasubramanian, Wen-Cheng Lai, Gan Hong Seng, Kavitha C and Jeeva Selvaraj
Cancers 2023, 15(2), 330; https://doi.org/10.3390/cancers15020330
Available online: https://www.mdpi.com/2072-6694/15/2/330

17. “Fibroblasts as Turned Agents in Cancer Progression”
by Robert Wieder
Cancers 2023, 15(7), 2014; https://doi.org/10.3390/cancers15072014
Available online: https://www.mdpi.com/2072-6694/15/7/2014

18. “Sex Differences in Lung Cancer”
by Lauren May, Kathryn Shows, Patrick Nana-Sinkam, Howard Li and Joseph W. Landry
Cancers 2023, 15(12), 3111; https://doi.org/10.3390/cancers15123111
Available online: https://www.mdpi.com/2072-6694/15/12/3111

19. “hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images”
by Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham, Lois Browne, Arcot Sowmya and Erik Meijering
Cancers 2023, 15(9), 2569; https://doi.org/10.3390/cancers15092569
Available online: https://www.mdpi.com/2072-6694/15/9/2569

20. “Prediction of Surgical Outcome in Advanced Ovarian Cancer by Imaging and Laparoscopy: A Narrative Review”
by Patrícia Pinto, Andrea Burgetova, David Cibula, Ingfrid S. Haldorsen, Tereza Indrielle-Kelly and Daniela Fischerova
Cancers 2023, 15(6), 1904; https://doi.org/10.3390/cancers15061904
Available online: https://www.mdpi.com/2072-6694/15/6/1904

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

Cancers Editorial Office