Announcements

Cancers (IF: 6.575, ISSN: 2072-6694), a peer-reviewed and open access journal, is now recruiting Editorial Board Members (EBMs) for the Section “Cancer Informatics and Big Data”.

The responsibilities of Section Editorial Board Members are as follows:

• Prescreening and making decisions on new submissions related to your research interests;
• Setting up at least one Special Issue during your term on a topic related to your research interests (or supervising Special Issues related to your research field);
• Providing input or feedback regarding journal policies;
• Helping to promote the journal among your peers or at conferences;
• Attending board meetings to suggest journal development strategies;
• Reviewing manuscripts.

For the full list of Editorial Board Members, please visit the following link: https://www.mdpi.com/journal/cancers/editors.

If you are interested in becoming a Section Editorial Board Member of the Cancers Section “Cancer Informatics and Big Data”, please send us your full academic CV and a short cover letter detailing your interest in and suitability for the position. If you would like to recommend potential candidates or request further information, please contact the Cancers Editorial Office at cancers@mdpi.com. We look forward to working with you in the future.

MDPI will be attending the 27th Congress of the Chinese Pediatric Society, held in Changsha, China, from 15–18 December 2022.

The following MDPI journals will be represented:

• Children (leading journal);
• JPM;
• Medicina;
• Audiology Research;
• JCM;
• Healthcare;
• Diagnostics;
• Metabolites;
• Cancers;
• Nutrients. 

If you plan on attending this conference, feel free to stop by our booth: #B67. Our delegates look forward to meeting you in person to answer any questions that you may have. 

For more information about the conference, please see the following link: https://nccps2022.tiemeeting.com/CN.

Cancers (IF: 6.575, ISSN: 2072-6694), a peer-reviewed and open access journal, is now recruiting Editorial Board Members (EBMs) for the Section “Infectious Agents and Cancer”.

The responsibilities of Section Editorial Board Members are as follows:

• Prescreening and making decisions on new submissions related to your research interests;
• Setting up at least one Special Issue during your term on a topic related to your research interests (or supervising Special Issues related to your research field);
• Providing input or feedback regarding journal policies;
• Helping to promote the journal among your peers or at conferences;
• Attending board meetings to suggest journal development strategies;
• Reviewing manuscripts.

For the full list of Editorial Board Members, please visit the following link: https://www.mdpi.com/journal/cancers/editors.

If you are interested in becoming a Section Editorial Board Member of the Cancers Section “Infectious Agents and Cancer”, please send us your full academic CV and a short cover letter detailing your interest in and suitability for the position. If you would like to recommend potential candidates or request further information, please contact the Cancers Editorial Office at cancers@mdpi.com. We look forward to working with you in the future.

1. “Vimentin Is at the Heart of Epithelial Mesenchymal Transition (EMT) Mediated Metastasis”
by Usman, S.; Waseem, N. H.; Nguyen, T. K. N.; Mohsin, S.; Jamal, A.; Teh, M.-T. and Waseem, A.
Cancers 2021, 13(19), 4985; https://doi.org/10.3390/cancers13194985
Available online: https://www.mdpi.com/2072-6694/13/19/4985

2. “Prognostic Utility of Platelet–Lymphocyte Ratio, Neutrophil–Lymphocyte Ratio and Monocyte–Lymphocyte Ratio in Head and Neck Cancers: A Detailed PRISMA Compliant Systematic Review and Meta-Analysis”
by Kumarasamy, C.; Tiwary, V.; Sunil, K.; Suresh, D.; Shetty, S.; Muthukaliannan, G. K.; Baxi, S. and Jayaraj, R.
Cancers 2021, 13(16), 4166; https://doi.org/10.3390/cancers13164166
Available online: https://www.mdpi.com/2072-6694/13/16/4166

3. “Margin Assessment in Soft Tissue Sarcomas: Review of the Literature”
by Sambri, A.; Caldari, E.; Fiore, M.; Zucchini, R.; Giannini, C.; Pirini, M. G.; Spinnato, P.; Cappelli, A.; Donati, D. M. and De Paolis, M.
Cancers 2021, 13(7), 1687; https://doi.org/10.3390/cancers13071687
Available online: https://www.mdpi.com/2072-6694/13/7/1687

4. “Stereotactic Body Radiotherapy for High-Risk Prostate Cancer: A Systematic Review”
by Foerster, R.; Zwahlen, D. R.; Buchali, A.; Tang, H.; Schroeder, C.; Windisch, P.; Vu, E.; Akbaba, S.; Bostel, T.; Sprave, T.; Zamboglou, C.; Zilli, T.; Stelmes, J.-J.; Telkhade, T. and Murthy, V.  
Cancers 2021, 13(4), 759; https://doi.org/10.3390/cancers13040759
Available online: https://www.mdpi.com/2072-6694/13/4/759

5. “The Effects of Multidisciplinary Team Meetings on Clinical Practice for Colorectal, Lung, Prostate and Breast Cancer: A Systematic Review”
by Kočo, L.; Weekenstroo, H. H. A.; Lambregts, D. M. J.; Sedelaar, J. P. M.; Prokop, M.; Fütterer, J. J. and Mann, R. M.
Cancers 2021, 13(16), 4159; https://doi.org/10.3390/cancers13164159
Available online: https://www.mdpi.com/2072-6694/13/16/4159

6. “A Systematic Review of the Safety, Feasibility and Benefits of Exercise for Patients with Advanced Cancer”
by De Lazzari, N.; Niels, T.; Tewes, M. and Götte, M.
Cancers 2021, 13(17), 4478; https://doi.org/10.3390/cancers13174478
Available online: https://www.mdpi.com/2072-6694/13/17/4478

7. “Obesity as a Risk Factor for Prostate Cancer Mortality: A Systematic Review and Dose-Response Meta-Analysis of 280,199 Patients”
by Rivera-Izquierdo, M.; Pérez de Rojas, J.; Martínez-Ruiz, V.; Pérez-Gómez, B.; Sánchez, M.-J.; Khan, K. S. and Jiménez-Moleón, J. J.
Cancers 2021, 13(16), 4169; https://doi.org/10.3390/cancers13164169
Available online: https://www.mdpi.com/2072-6694/13/16/4169

8. “Radiomics Models for Predicting Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score Assessment”
by Wang, Q.; Li, C.; Zhang, J.; Hu, X.; Fan, Y.; Ma, K.; Sparrelid, E. and Brismar, T. B.
Cancers 2021, 13(22), 5864; https://doi.org/10.3390/cancers13225864
Available online: https://www.mdpi.com/2072-6694/13/22/5864

9. “Adjuvant Systemic Therapy after Chemoradiation and Brachytherapy for Locally Advanced Cervical Cancer: A Systematic Review and Meta-Analysis”
by Horeweg, N.; Mittal, P.; Gradowska, P. L.; Boere, I.; Chopra, S. and Nout, R. A.
Cancers 2021, 13(8), 1880; https://doi.org/10.3390/cancers13081880
Available online: https://www.mdpi.com/2072-6694/13/8/1880

10. “Childhood Cancer: Occurrence, Treatment and Risk of Second Primary Malignancies”
by Zahnreich, S. and Schmidberger, H.
Cancers 2021, 13(11), 2607; https://doi.org/10.3390/cancers13112607
Available online: https://www.mdpi.com/2072-6694/13/11/2607

1. “Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data”
by Alzubaidi, L.; Al-Amidie, M.; Al-Asadi, A.; Humaidi, A. J.; Al-Shamma, O.; Fadhel, M. A.; Zhang, J. L.; Santamaria, J. and Duan, Y.
Cancers 2021, 13(7), 1590; https://doi.org/10.3390/cancers13071590
Available online: https://www.mdpi.com/2072-6694/13/7/1590 

2. “Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging”
by Ayana, G.; Dese, K. and Choe, S. W.
Cancers 2021, 13(4), 738; https://doi.org/10.3390/cancers13040738
Available online: https://www.mdpi.com/2072-6694/13/4/738

3. “Structured Reporting of Rectal Cancer Staging and Restaging: A Consensus Proposal”
by Granata, V.; Caruso, D.; Grassi, R.; Cappabianca, S.; Reginelli, A.; Rizzati, R.; Masselli, G.; Golfieri, R.; Rengo, M.; Regge, D.; Lo Re, G.; Pradella, S.; Fusco, R.; Faggioni, L.; Laghi, A.; Miele, V.; Neri, E. and Coppola, F.
Cancers 2021, 13(9), 2135; https://doi.org/10.3390/cancers13092135
Available online: https://www.mdpi.com/2072-6694/13/9/2135

4. “Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Pancreatic Cancer: Systematic Review and Still-Open Questions”
by Lawlor, R. T.; Mattiolo, P.; Mafficini, A.; Hong, S.-M.; Piredda, M. L.; Taormina, S. V.; Malleo, G.; Marchegiani, G.; Pea, A.; Salvia, R.; Kryklyva, V.; Shin, J. I.; Brosens, L. A.; Milella, M.; Scarpa, A. and Luchini, C.
Cancers 2021, 13(13), 3119; https://doi.org/10.3390/cancers13133119
Available online: https://www.mdpi.com/2072-6694/13/13/3119

5. “OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data”
by Zhang, X.; Xing, Y.; Sun, K. and Guo, Y.
Cancers 2021, 13(12), 3047; https://doi.org/10.3390/cancers13123047
Available online: https://www.mdpi.com/2072-6694/13/12/3047

6. “Identification of Cancer Hub Gene Signatures Associated with Immune-Suppressive Tumor Microenvironment and Ovatodiolide as a Potential Cancer Immunotherapeutic Agent”
by Chen, J.-H.; Wu, A. T. H.; Lawal, B.; Tzeng, D. T. W.; Lee, J.-C.; Ho, C.-L. and Chao, T.-Y.
Cancers 2021, 13(15), 3847; https://doi.org/10.3390/cancers13153847
Available online: https://www.mdpi.com/2072-6694/13/15/3847

7. “Nanopore Sequencing Reveals Global Transcriptome Signatures of Mitochondrial and Ribosomal Gene Expressions in Various Human Cancer Stem-like Cell Populations”
by Witte, K. E.; Hertel, O.; Windmöller, B. A.; Helweg, L. P.; Höving, A. L.; Knabbe, C.; Busche, T.; Greiner, J. F. W.; Kalinowski, J.; Noll, T.; Mertzlufft, F.; Beshay, M.; Pfitzenmaier, J.; Kaltschmidt, B.; Kaltschmidt, C.; Banz-Jansen, C. and Simon, M.
Cancers 2021, 13(5), 1136; https://doi.org/10.3390/cancers13051136
Available online: https://www.mdpi.com/2072-6694/13/5/1136

8. “Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia”
by Vial, J. P.; Lechevalier, N.; Lacombe, F.; Dumas, P.-Y.; Bidet, A.; Leguay, T.; Vergez, F.; Pigneux, A. and Béné, M.C.
Cancers 2021, 13(4), 629; https://doi.org/10.3390/cancers13040629
Available online: https://www.mdpi.com/2072-6694/13/4/629

9. “Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue”
by Nishio, M.; Nishio, M.; Jimbo, N. and Nakane, K.
Cancers 2021, 13(6), 1192; https://doi.org/10.3390/cancers13061192
Available online: https://www.mdpi.com/2072-6694/13/6/1192

10. “Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results”
by Camalan, S.; Mahmood, H.; Binol, H.; Araújo, A. L. D.; Santos-Silva, A. R.; Vargas, P. A.; Lopes, M. A.; Khurram, S. A. and Gurcan, M. N.
Cancers 2021, 13(6), 1291; https://doi.org/10.3390/cancers13061291
Available online: https://www.mdpi.com/2072-6694/13/6/1291

1. “Recent Development of Gold Nanoparticles as Contrast Agents for Cancer Diagnosis”
by Luo, D.; Wang, X.; Burda, C. and Basilion, J. P.
Cancers 2021, 13(8), 1825; https://doi.org/10.3390/cancers13081825
Available online: https://www.mdpi.com/2072-6694/13/8/1825

2. “Radiomics-Derived Data by Contrast Enhanced Magnetic Resonance in RAS Mutations Detection in Colorectal Liver Metastases”
by Granata, V.; Fusco, R.; Avallone, A.; De Stefano, A.; Ottaiano, A.; Sbordone, C.; Brunese, L.; Izzo, F. and Petrillo, A.
Cancers 2021, 13(3), 453; https://doi.org/10.3390/cancers13030453
Available online: https://www.mdpi.com/2072-6694/13/3/453

3. “DNA Based and Stimuli-Responsive Smart Nanocarrier for Diagnosis and Treatment of Cancer: Applications and Challenges”
by Sabir, F.; Zeeshan, M.; Laraib, U.; Barani, M.; Rahdar, A.; Cucchiarini, M. and Pandey, S.
Cancers 2021, 13(14), 3396; https://doi.org/10.3390/cancers13143396
Available online: https://www.mdpi.com/2072-6694/13/14/3396

4. “Artificial Intelligence for Histology-Based Detection of Microsatellite Instability and Prediction of Response to Immunotherapy in Colorectal Cancer”
by Hildebrand, L. A.; Pierce, C. J.; Dennis, M.; Paracha, M. and Maoz, A.
Cancers 2021, 13(3), 391; https://doi.org/10.3390/cancers13030391
Available online: https://www.mdpi.com/2072-6694/13/3/391

5. “Diagnostic Utility of the Immunohistochemical Expression of Serine and Arginine Rich Splicing Factor 1 (SRSF1) in the Differential Diagnosis of Adult Gliomas”
by Broggi, G.; Salvatorelli, L.; Barbagallo, D.; Certo, F.; Altieri, R.; Tirrò, E.; Massimino, M.; Vigneri, P.; Guadagno, E.; Maugeri, G.; D’Agata, V.; Musumeci, G.; Ragusa, M.; Barbagallo, G. M. V.; Russo, D. and Caltabiano, R.
Cancers 2021, 13(9), 2086; https://doi.org/10.3390/cancers13092086
Available online: https://www.mdpi.com/2072-6694/13/9/2086

6. “Engineering Anti-Tumor Monoclonal Antibodies and Fc Receptors to Enhance ADCC by Human NK Cells”
by Dixon, K. J.; Wu, J. and Walcheck, B.
Cancers 2021, 13(2), 312; https://doi.org/10.3390/cancers13020312
Available online: https://www.mdpi.com/2072-6694/13/2/312

7. “Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study”
by Fanizzi, A.; Pomarico, D.; Paradiso, A.; Bove, S.; Diotaiuti, S.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V. and Massafra, R.
Cancers 2021, 13(2), 352; https://doi.org/10.3390/cancers13020352
Available online: https://www.mdpi.com/2072-6694/13/2/352

8. “The Frontal Aslant Tract and Supplementary Motor Area Syndrome: Moving towards a Connectomic Initiation Axis”
by Briggs, R. G.; Allan, P. G.; Poologaindran, A.; Dadario, N. B.; Young, I. M.; Ahsan, S. A.; Teo, C. and Sughrue, M. E.
Cancers 2021, 13(5), 1116; https://doi.org/10.3390/cancers13051116
Available online: https://www.mdpi.com/2072-6694/13/5/1116

9. “Current Intraoperative Imaging Techniques to Improve Surgical Resection of Laryngeal Cancer: A Systematic Review”
by Lauwerends, L. J.; Galema, H. A.; Hardillo, J. A. U.; Sewnaik, A.; Monserez, D.; van Driel, P. B. A. A.; Verhoef, C.; Baatenburg de Jong, R. J.; Hilling, D. E. and Keereweer, S.
Cancers 2021, 13(8), 1895; https://doi.org/10.3390/cancers13081895
Available online: https://www.mdpi.com/2072-6694/13/8/1895

10. “CT Body Composition of Sarcopenia and Sarcopenic Obesity: Predictors of Postoperative Complications and Survival in Patients with Locally Advanced Esophageal Adenocarcinoma”
by Fehrenbach, U.; Wuensch, T.; Gabriel, P.; Segger, L.; Yamaguchi, T.; Auer, T. A.; Beetz, N. L.; Denecke, C.; Kröll, D.; Raakow, J.; Knitter, S.; Chopra, S.; Thuss-Patience, P.; Pratschke, J.; Hamm, B.; Biebl, M. and Geisel, D.
Cancers 2021, 13(12), 2921; https://doi.org/10.3390/cancers13122921
Available online: https://www.mdpi.com/2072-6694/13/12/2921

1. “Oxidative Stress in the Tumor Microenvironment and Its Relevance to Cancer Immunotherapy”
by Aboelella, N. S.; Brandle, C.; Kim, T.; Ding, Z.-C. and Zhou, G.
Cancers 2021, 13(5), 986; https://doi.org/10.3390/cancers13050986
Available online: https://www.mdpi.com/2072-6694/13/5/986

2. “The Role of Tumor Microenvironment in Multiple Myeloma Development and Progression”
by García-Ortiz, A.; Rodríguez-García, Y.; Encinas, J.; Maroto-Martín, E.; Castellano, E.; Teixidó, J. and Martínez-López, J.
Cancers 2021, 13(2), 217; https://doi.org/10.3390/cancers13020217
Available online: https://www.mdpi.com/2072-6694/13/2/217

3. “The Anti-VEGF(R) Drug Discovery Legacy: Improving Attrition Rates by Breaking the Vicious Cycle of Angiogenesis in Cancer”
by Ribatti, D.; Solimando, A. G. and Pezzella, F.
Cancers 2021, 13(14), 3433; https://doi.org/10.3390/cancers13143433
Available online: https://www.mdpi.com/2072-6694/13/14/3433

4. “The Role of Hypoxia in Glioblastoma Radiotherapy Resistance”
by Chédeville, A. L. and Madureira, P. A.
Cancers 2021, 13(3), 542; https://doi.org/10.3390/cancers13030542
Available online: https://www.mdpi.com/2072-6694/13/3/542

5. “Cytoskeletal Dynamics in Epithelial-Mesenchymal Transition: Insights into Therapeutic Targets for Cancer Metastasis”
by Datta, A.; Deng, S.; Gopal, V.; Yap, K. C.-H.; Halim, C. E.; Lye, M. L.; Ong, M. S.; Tan, T. Z.; Sethi, G.; Hooi, S. C.; Kumar, A. P. and Yap, C. T.
Cancers 2021, 13(8), 1882; https://doi.org/10.3390/cancers13081882
Available online: https://www.mdpi.com/2072-6694/13/8/1882

6. “Gain/Amplification of Chromosome Arm 1q21 in Multiple Myeloma”
by Hanamura, I.
Cancers 2021, 13(2), 256; https://doi.org/10.3390/cancers13020256
Available online: https://www.mdpi.com/2072-6694/13/2/256

7. “Plasmin and Plasminogen System in the Tumor Microenvironment: Implications for Cancer Diagnosis, Prognosis, and Therapy”
by Bharadwaj, A. G.; Holloway, R. W.; Miller, V. A. and Waisman, D. M.
Cancers 2021, 13(8), 1838; https://doi.org/10.3390/cancers13081838
Available online: https://www.mdpi.com/2072-6694/13/8/1838

8. “Collagen Type XI Alpha 1 (COL11A1): A Novel Biomarker and a Key Player in Cancer”
by Nallanthighal, S.; Heiserman, J. P. and Cheon, D.-J.
Cancers 2021, 13(5), 935; https://doi.org/10.3390/cancers13050935
Available online: https://www.mdpi.com/2072-6694/13/5/935

9. “Cancer-Associated Fibroblast-Induced Resistance to Chemotherapy and Radiotherapy in Gastrointestinal Cancers”
by Ham, I.-H.; Lee, D. and Hur, H.
Cancers 2021, 13(5), 1172; https://doi.org/10.3390/cancers13051172
Available online: https://www.mdpi.com/2072-6694/13/5/1172

10. “Role of bFGF in Acquired Resistance upon Anti-VEGF Therapy in Cancer”
by Zahra, F. T.; Sajib, M. S. and Mikelis, C. M.
Cancers 2021, 13(6), 1422; https://doi.org/10.3390/cancers13061422
Available online: https://www.mdpi.com/2072-6694/13/6/1422

1. “PD-L1 Testing and Squamous Cell Carcinoma of the Head and Neck: A Multicenter Study on the Diagnostic Reproducibility of Different Protocols”
by Crosta, S.; Boldorini, R.; Bono, F.; Brambilla, V.; Dainese, E.; Fusco, N.; Gianatti, A.; L’Imperio, V.; Morbini, P. and Pagni, F.
Cancers 2021, 13(2), 292; https://doi.org/10.3390/cancers13020292
Available online: https://www.mdpi.com/2072-6694/13/2/292

2. “Tumor Heterogeneity in Glioblastomas: From Light Microscopy to Molecular Pathology”
by Becker, A. P.; Sells, B. E.; Haque, S. J. and Chakravarti, A.
Cancers 2021, 13(4), 761; https://doi.org/10.3390/cancers13040761
Available online: https://www.mdpi.com/2072-6694/13/4/761

3. “Primary Effusion Lymphoma: A Clinicopathological Study of 70 Cases”
by Hu, Z.; Pan, Z.; Chen, W.; Shi, Y.; Wang, W.; Yuan, J.; Wang, E.; Zhang, S.; Kurt, H.; Mai, B.; Zhang, X.; Liu, H.; Rios, A. A.; Ma, H. Y.; Nguyen, N. D.; Medeiros, L. J. and Hu, S.
Cancers 2021, 13(4), 878; https://doi.org/10.3390/cancers13040878
Available online: https://www.mdpi.com/2072-6694/13/4/878

4. “Long, Noncoding RNA Dysregulation in Glioblastoma”
by DeSouza, P. A.; Qu, X.; Chen, H.; Patel, B.; Maher, C. A. and Kim, A. H.
Cancers 2021, 13(7), 1604; https://doi.org/10.3390/cancers13071604
Available online: https://www.mdpi.com/2072-6694/13/7/1604

5. “Malignant Ascites in Ovarian Cancer: Cellular, Acellular, and Biophysical Determinants of Molecular Characteristics and Therapy Response”
by Rickard, B. P.; Conrad, C.; Sorrin, A. J.; Ruhi, M. K.; Reader, J. C.; Huang, S. A.; Franco, W.; Scarcelli, G.; Polacheck, W. J.; Roque, D. M.; del Carmen, M. G.; Huang, H.-C.; Demirci, U. and Rizvi, I.
Cancers 2021, 13(17), 4318; https://doi.org/10.3390/cancers13174318
Available online: https://www.mdpi.com/2072-6694/13/17/4318

6. “RalGPS2 Interacts with Akt and PDK1 Promoting Tunneling Nanotubes Formation in Bladder Cancer and Kidney Cells Microenvironment”
by D’Aloia, A.; Arrigoni, E.; Costa, B.; Berruti, G.; Martegani, E.; Sacco, E. and Ceriani, M.
Cancers 2021, 13(24), 6330; https://doi.org/10.3390/cancers13246330
Available online: https://www.mdpi.com/2072-6694/13/24/6330

7. “Between a Rock and a Hard Place: An Epigenetic-Centric View of Testicular Germ Cell Tumors”
by Singh, R.; Fazal, Z.; Freemantle, S. J. and Spinella, M. J.
Cancers 2021, 13(7), 1506; https://doi.org/10.3390/cancers13071506
Available online: https://www.mdpi.com/2072-6694/13/7/1506

8. “Activation of the S100A7/RAGE Pathway by IGF-1 Contributes to Angiogenesis in Breast Cancer”
by Muoio, M. G.; Talia, M.; Lappano, R.; Sims, A. H.; Vella, V.; Cirillo, F.; Manzella, L.; Giuliano, M.; Maggiolini, M.; Belfiore, A. and De Francesco, E. M.
Cancers 2021, 13(4), 621; https://doi.org/10.3390/cancers13040621
Available online: https://www.mdpi.com/2072-6694/13/4/621

9. “Inflammatory Mechanisms Underlying Nonalcoholic Steatohepatitis and the Transition to Hepatocellular Carcinoma”
by Peiseler, M. and Tacke, F.
Cancers 2021, 13(4), 730; https://doi.org/10.3390/cancers13040730
Available online: https://www.mdpi.com/2072-6694/13/4/730

10. “Radio-Iodide Treatment: From Molecular Aspects to the Clinical View”
by De la Vieja, A. and Riesco-Eizaguirre, G.
Cancers 2021, 13(5), 995; https://doi.org/10.3390/cancers13050995
Available online: https://www.mdpi.com/2072-6694/13/5/995

1. “Immune Checkpoint Inhibitors for the Treatment of Bladder Cancer”
by Lopez-Beltran, A.; Cimadamore, A.; Blanca, A.; Massari, F.; Vau, N.; Scarpelli, M.; Cheng, L. and Montironi, R.
Cancers 2021, 13(1), 131; https://doi.org/10.3390/cancers13010131
Available online: https://www.mdpi.com/2072-6694/13/1/131

2. “IL-12 Family Cytokines in Cancer and Immunotherapy”
by Mirlekar, B. and Pylayeva-Gupta, Y.
Cancers 2021, 13(2), 167; https://doi.org/10.3390/cancers13020167
Available online: https://www.mdpi.com/2072-6694/13/2/167

3. “STING Agonists as Cancer Therapeutics”
by Amouzegar, A.; Chelvanambi, M.; Filderman, J. N.; Storkus, W. J. and Luke, J. J.
Cancers 2021, 13(11), 2695; https://doi.org/10.3390/cancers13112695
Available online: https://www.mdpi.com/2072-6694/13/11/2695

4. “Talimogene Laherparepvec (T-VEC): An Intralesional Cancer Immunotherapy for Advanced Melanoma”
by Ferrucci, P. F.; Pala, L.; Conforti, F. and Cocorocchio, E.
Cancers 2021, 13(6), 1383; https://doi.org/10.3390/cancers13061383
Available online: https://www.mdpi.com/2072-6694/13/6/1383

5. “Senolytics for Cancer Therapy: Is All that Glitters Really Gold?”
by Carpenter, V. J.; Saleh, T. and Gewirtz, D. A.
Cancers 2021, 13(4), 723; https://doi.org/10.3390/cancers13040723
Available online: https://www.mdpi.com/2072-6694/13/4/723

6. “CTLA-4 in Regulatory T Cells for Cancer Immunotherapy”
by Sobhani, N.; Tardiel-Cyril, D. R.; Davtyan, A.; Generali, D.; Roudi, R. and Li, Y.
Cancers 2021, 13(6), 1440; https://doi.org/10.3390/cancers13061440
Available online: https://www.mdpi.com/2072-6694/13/6/1440

7. “The Role of Macrophages in Cancer Development and Therapy”
by Cendrowicz, E.; Sas, Z.; Bremer, E. and Rygiel, T. P.
Cancers 2021, 13(8), 1946; https://doi.org/10.3390/cancers13081946
Available online: https://www.mdpi.com/2072-6694/13/8/1946

8. “The Functional Crosstalk between Myeloid-Derived Suppressor Cells and Regulatory T Cells within the Immunosuppressive Tumor Microenvironment”
by Haist, M.; Stege, H.; Grabbe, S.; Bros, M.
Cancers 2021, 13(2), 210; https://doi.org/10.3390/cancers13020210
Available online: https://www.mdpi.com/2072-6694/13/2/210

9. “Immune Resistance in Lung Adenocarcinoma”
by Spella, M. and Stathopoulos, G. T.
Cancers 2021, 13(3), 384; https://doi.org/10.3390/cancers13030384
Available online: https://www.mdpi.com/2072-6694/13/3/384

10. “Soluble Programmed Death Ligand-1 (sPD-L1): A Pool of Circulating Proteins Implicated in Health and Diseases”
by Bailly, C.; Thuru, X. and Quesnel, B.
Cancers 2021, 13(12), 3034; https://doi.org/10.3390/cancers13123034
Available online: https://www.mdpi.com/2072-6694/13/12/3034

Conference: 2022 BMES Annual Meeting
Date: 12–15 October 2022
Place: San Antonio, Texas, USA
Booth: #346

MDPI will be attending the 2022 BMES Annual Meeting as an exhibitor from 12 to 15 October 2022 in San Antonio, Texas, USA.

BMES holds an annual meeting where they have hosted up to 5,500 biomedical engineers who attend more than 2,500 scientific presentations on cancer treatment, heart disease, women’s health, global health disparities, and more. The meeting allows members to advocate for their innovative solutions, demonstrating their commitment to the society’s core value of health equity for all individuals. In addition, BMES shares scientific information to inspire the up-and-coming generation through four scientific journals, three special interest groups, and collaborations with other scientific societies to elevate the visibility and significant impact that the biomedical engineering community has worldwide as the thought leaders behind the future of human health.

From 12 to 15 October 2022, in the vibrant multicultural city of San Antonio, we will celebrate the tremendous contributions made by BMES members in research, teaching, education, and the workforce that directly impact many sectors of our society. We also aim to highlight equity issues in healthcare and education, stemming from racial and socioeconomic diversity, gender and sexual orientation, and disabilities.

The following MDPI journals will be represented:

• Applied Sciences;
• Bioengineering;
• Biomedicines;
• Biomimetics;
• Biomolecules;
• Biosensors;
• Cancers;
• CIMB;
• Diseases.

Please do not hesitate to reach out if you plan on attending this conference. Our delegates look forward to meeting you in person and answering any questions that you might have.