Cancers | Selected Papers in 2023 in the Section “Cancer Informatics and Big Data”

We are pleased to invite you to read the selected papers in 2023 in Cancers (ISSN: 2072-6694) in the Section “Cancer Informatics and Big Data”. The list of relevant papers can be seen below.

“Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine”
by Ohanes Ashekyan, Nerses Shahbazyan, Yeva Bareghamyan, Anna Kudryavzeva, Daria Mandel, Maria Schmidt, Henry Loeffler-Wirth, Mohamed Uduman, Dhan Chand, Dennis Underwood et al.
Cancers 2023, 15(15), 3835; https://doi.org/10.3390/cancers15153835
Available online: https://www.mdpi.com/2072-6694/15/15/3835

“Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications”
by Andrew Patterson, Abdurrahman Elbasir, Bin Tian and Noam Auslander
Cancers 2023, 15(7), 1958; https://doi.org/10.3390/cancers15071958
Available online: https://www.mdpi.com/2072-6694/15/7/1958

“Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging”
by Marina Z. Joel, Arman Avesta, Daniel X. Yang, Jian-Ge Zhou, Antonio Omuro, Roy S. Herbst, Harlan M. Krumholz and Sanjay Aneja
Cancers 2023, 15(5), 1548; https://doi.org/10.3390/cancers15051548
Available online: https://www.mdpi.com/2072-6694/15/5/1548

“Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records”
by Lorena González-Castro, Marcela Chávez, Patrick Duflot, Valérie Bleret, Alistair G. Martin, Marc Zobel, Jama Nateqi, Simon Lin, José J. Pazos-Arias, Guilherme Del Fiol et al.
Cancers 2023, 15(10), 2741; https://doi.org/10.3390/cancers15102741
Available online: https://www.mdpi.com/2072-6694/15/10/2741

“Identification of a Novel Model for Predicting the Prognosis and Immune Response Based on Genes Related to Cuproptosis and Ferroptosis in Ovarian Cancer”
by Ying Li, Tian Fang, Wanying Shan and Qinglei Gao
Cancers 2023, 15(3), 579; https://doi.org/10.3390/cancers15030579
Available online: https://www.mdpi.com/2072-6694/15/3/579

“Deep Learning Approach to Classify Cutaneous Melanoma in a Whole Slide Image”
by Meng Li, Makoto Abe, Shigeo Nakano and Masayuki Tsuneki
Cancers 2023, 15(6), 1907; https://doi.org/10.3390/cancers15061907
Available online: https://www.mdpi.com/2072-6694/15/6/1907

“Analyses of Genes Critical to Tumor Survival Reveal Potential ‘Supertargets’: Focus on Transcription”
by Darya Chetverina, Nadezhda E. Vorobyeva, Balazs Gyorffy, Alexander A. Shtil and Maksim Erokhin
Cancers 2023, 15(11), 3042; https://doi.org/10.3390/cancers15113042
Available online: https://www.mdpi.com/2072-6694/15/11/3042

“Prediction of the Molecular Subtype of IDH Mutation Combined with MGMT Promoter Methylation in Gliomas via Radiomics Based on Preoperative MRI”
by Yongjian Sha, Qianqian Yan, Yan Tan, Xiaochun Wang, Hui Zhang and Guoqiang Yang
Cancers 2023, 15(5), 1440; https://doi.org/10.3390/cancers15051440
Available online: https://www.mdpi.com/2072-6694/15/5/1440

“Bioinformatics Screen Reveals Gli-Mediated Hedgehog Signaling as an Associated Pathway to Poor Immune Infiltration of Dedifferentiated Liposarcoma”
by Erik P. Beadle, Natalie E. Bennett and Julie A. Rhoades
Cancers 2023, 15(13), 3360; https://doi.org/10.3390/cancers15133360
Available online: https://www.mdpi.com/2072-6694/15/13/3360

“Serum Mass Spectrometry Proteomics and Protein Set Identification in Response to FOLFOX-4 in Drug-Resistant Ovarian Carcinoma”
by Domenico D’Arca, Leda Severi, Stefania Ferrari, Luca Dozza, Gaetano Marverti, Fulvio Magni, Clizia Chinello, Lisa Pagani, Lorenzo Tagliazucchi, Marco Villani et al.
Cancers 2023, 15(2), 412; https://doi.org/10.3390/cancers15020412
Available online: https://www.mdpi.com/2072-6694/15/2/412

“Multi-Omic Analysis of CIC’s Functional Networks Reveals Novel Interaction Partners and a Potential Role in Mitotic Fidelity”
by Yuka Takemon, Véronique G. LeBlanc, Jungeun Song, Susanna Y. Chan, Stephen Dongsoo Lee, Diane L. Trinh, Shiekh Tanveer Ahmad, William R. Brothers, Richard D. Corbett, Alessia Gagliardi et al.
Cancers 2023, 15(10), 2805; https://doi.org/10.3390/cancers15102805
Available online: https://www.mdpi.com/2072-6694/15/10/2805

“Revealing Prognostic and Immunotherapy-Sensitive Characteristics of a Novel Cuproptosis-Related LncRNA Model in Hepatocellular Carcinoma Patients by Genomic Analysis”
by Zhenzhen Mao, Ye Nie, Weili Jia, Yanfang Wang, Jianhui Li, Tianchen Zhang, Xinjun Lei, Wen Shi, Wenjie Song and Xiao Zhang
Cancers 2023, 15(2), 544; https://doi.org/10.3390/cancers15020544
Available online: https://www.mdpi.com/2072-6694/15/2/544

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

Cancers Editorial Office