Tumor Models and Drug Targeting In Vitro (Volume II)

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 1156

Special Issue Editors


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Guest Editor
Core Facility Tissue Engineering, Otto von Guericke University, 39106 Magdeburg, Germany
Interests: cancer biology; microgravity; bioreactors; in vitro models; tissue engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Environmental Cell Biology Group, Department of Microgravity and Translational Regenerative Medicine, Otto von Guericke University, 39106 Magdeburg, Germany
Interests: cell biology; cancer biology; environmental influences; microgravity; cellular communication; photodynamic therapy; cancer treatment; antimicrobial resistance; tumor microbiome
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Cancers is the second edition of the ongoing Issue entitled “Tumor Models and Drug Targeting In Vitro”, which is available at https://www.mdpi.com/journal/cancers/special_issues/tumor_model_drug_targeting

Meaningful preclinical models are of great importance in the development of new therapeutic approaches against cancers. Far too often, promising substances fail in later clinical trials. Therefore, it is appropriate to use the advantages of advanced in vitro models to enhance the clinical success of drugs identified in basic research by better predicting their responses and effectiveness in patients.

Today, technological and scientific developments allow researchers to better understand the complex biology of cancer and the molecular relationships in tumors and during metastasis. Particularly, three-dimensional tumor and metastatic models, closely mimicking the in vivo tumor tissue, have become an indispensable platform for investigating the tumor microenvironment, mechanical properties, biochemical factors, as well as dynamic cell–cell and cell–ECM interactions. These offer unique advantages in fundamental and clinical biomedical studies as well as in drug development.

This Special Issue aims to highlight recent advances in the development and applications of in vitro tumor models as alternatives for animal testing. We welcome the submission of original research and review manuscripts.

Dr. Sascha Kopp
Dr. Marcus Krüger
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • 3D in vitro tumors
  • cancer metastasis modeling
  • tumor engineering
  • tumor-on-a-chip
  • drug targeting
  • drug delivery mechanisms
  • tumor microenvironment
  • cellular interactions

Published Papers (1 paper)

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Research

17 pages, 4839 KiB  
Article
Drug Response of Patient-Derived Lung Cancer Cells Predicts Clinical Outcomes of Targeted Therapy
by Sunshin Kim, Youngjoo Lee, Bo Ram Song, Hanna Sim, Eun Hye Kang, Mihwa Hwang, Namhee Yu, Sehwa Hong, Charny Park, Beung-Chul Ahn, Eun Jin Lim, Kum Hui Hwang, Seog-Yun Park, Jin-Ho Choi, Geon Kook Lee and Ji-Youn Han
Cancers 2024, 16(4), 778; https://doi.org/10.3390/cancers16040778 - 14 Feb 2024
Viewed by 923
Abstract
Intratumor heterogeneity leads to different responses to targeted therapies, even within patients whose tumors harbor identical driver oncogenes. This study examined clinical outcomes according to a patient-derived cell (PDC)-based drug sensitivity test in lung cancer patients treated with targeted therapies. From 487 lung [...] Read more.
Intratumor heterogeneity leads to different responses to targeted therapies, even within patients whose tumors harbor identical driver oncogenes. This study examined clinical outcomes according to a patient-derived cell (PDC)-based drug sensitivity test in lung cancer patients treated with targeted therapies. From 487 lung cancers, 397 PDCs were established with a success rate of 82%. In 139 PDCs from advanced non-small-cell lung cancer (NSCLC) patients receiving targeted therapies, the standardized area under the curve (AUC) values for the drugs was significantly correlated with their tumor response (p = 0.002). Among 59 chemo-naive EGFR/ALK-positive NSCLC patients, the PDC non-responders showed a significantly inferior response rate (RR) and progression-free survival (PFS) for the targeted drugs than the PDC responders (RR, 25% vs. 78%, p = 0.011; median PFS, 3.4 months [95% confidence interval (CI), 2.8–4.1] vs. 11.8 months [95% CI, 6.5–17.0], p < 0.001). Of 25 EGFR-positive NSCLC patients re-challenged with EGFR inhibitors, the PDC responder showed a higher RR than the PDC non-responder (42% vs. 15%). Four patients with wild-type EGFR or uncommon EGFR-mutant NSCLC were treated with EGFR inhibitors based on their favorable PDC response to EGFR inhibitors, and two patients showed dramatic responses. Therefore, the PDC-based drug sensitivity test results were significantly associated with clinical outcomes in patients with EGFR- or ALK-positive NSCLC. It may be helpful for predicting individual heterogenous clinical outcomes beyond genomic alterations. Full article
(This article belongs to the Special Issue Tumor Models and Drug Targeting In Vitro (Volume II))
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