Article
Multidisciplinary Sciences
Xiaojun Guan, Liding Yao, Yanbin Tan, Zhujing Shen, Hanpeng Zheng, Haisheng Zhou, Yuantong Gao, Yongchou Li, Wenbin Ji, Huangqi Zhang, Jun Wang, Minming Zhang, Xiaojun Xu
Summary: This study demonstrates that both semi-quantitative and quantitative methods have excellent repeatability in measuring inflammatory lesions and can well distinguish between common and severe type patients. Lobe-based CT score is fast, readily clinically available, and has a high sensitivity in identifying severe type patients.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
Ji Q. Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jurgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. Van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer
Summary: The study proposes a new automated causal inference method, AutoCI, for the causal reinterpretation of clinical trial data. Compared with existing methods, AutoCI allows for a clear determination of causal variables by suppressing the causal probability of non-causal variables. The results demonstrate the consistency and robustness of AutoCI in the presence of confounders.
NATURE MACHINE INTELLIGENCE
(2022)
Review
Dermatology
Gaurav N. Pathak, Rithi J. Chandy, Vidisha Naini, Steven R. Feldman, Babar K. Rao
Summary: This study analyzed clinical trials on vitiligo and found that less than half of the trials used quality of life (QoL) assessments, with DLQI and CDLQI being the commonly used tools. As the number of trials increases, vitiligo-specific questionnaires may be more suitable for evaluating unique vitiligo-related concerns.
DERMATOLOGIC THERAPY
(2023)
Article
Medicine, General & Internal
Stuart McLennan, Barbara Nussbaumer-Streit, Lars G. Hemkens, Matthias Briel
Summary: In this study, there is generally a consensus among Swiss stakeholders and international funders that systematic evidence assessments are important in justifying new clinical trials. However, barriers at individual, organizational, and political levels hinder the implementation of this practice. More explicit requirements from funders are needed to clarify the level of comprehensiveness required in summarizing existing evidence for different types of clinical trials.
Article
Oncology
Griffin K. Hughes, Nicholas B. Sajjadi, Brooke Gardner, Joshua K. Ramoin, Jordan Tuia, Alyson Haslam, Vinay Prasad, Matt Vassar
Summary: Drug development is a complex and costly process. Clinical trials play a crucial role in evaluating patient benefit and burden. This study reviewed clinical trials of cabozantinib and found that the risks increased over time while the benefits decreased. The non-randomized design and inconsistency in trial results highlight the need for more rigorous studies.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Editorial Material
Environmental Sciences
Nicole van Maanen, Tabea Lissner, Mathijs Harmsen, Franziska Piontek, Marina Andrijevic, Detlef P. van Vuuren
Summary: Adaptation is crucial for mitigating the impacts of climate change, but it is not well-represented in current modelling frameworks. We identify research gaps and propose ways to incorporate adaptation into quantitative assessments of climate change, in order to improve policy guidance.
NATURE CLIMATE CHANGE
(2023)
Article
Behavioral Sciences
Susan Faja, Maura Sabatos-DeVito, Aksheya L. Sridhar, Jocelyn L. Kuhn, Julia I. Nikolaeva, Catherine A. Sugar, Sara Jane Webb, Raphael A. Bernier, Linmarie Sikich, Gerhard Hellemann, Damla Senturk, Adam J. Naples, Frederick Shic, April R. Levin, Helen A. Seow, James D. Dziura, Shafali S. Jeste, Katarzyna Chawarska, Charles A. Nelson, Geraldine Dawson, James C. McPartland
Summary: Clinical trials in autism spectrum disorder (ASD) compared eight common assessment tools to measure autism-related features and social behaviors, and evaluated their feasibility and stability. The results can guide the selection of tests for future autism intervention studies.
Article
Genetics & Heredity
Natalie V. J. Aldhouse, Helen Kitchen, Chloe Johnson, Chris Marshall, Hannah Pegram, Sheryl Pease, Sam Collins, Christine L. Baker, Katherine Beaverson, Chandler Crews, Jill Massey, Kathleen W. Wyrwich
Summary: This study aimed to identify appropriate clinical outcome assessments (COAs) for evaluating physical function and well-being in pediatric patients with achondroplasia. The results showed that pain, short stature, and impacts on physical functioning were the main concerns for children/adolescents and their caregivers. Increasing height and improving limb proportion were considered important treatment outcomes. The Childhood Health Assessment Questionnaire (CHAQ) and Quality of Life in Short Stature Youth (QoLISSY-Brief) were found to be relevant and suitable measures for assessing physical function and well-being. Patient-report was recommended for patients aged 12-17, while caregiver-report was recommended for patients aged 0-11.
ORPHANET JOURNAL OF RARE DISEASES
(2022)
Review
Pharmacology & Pharmacy
Laura Masuelli, Monica Benvenuto, Chiara Focaccetti, Sara Ciuffa, Sara Fazi, Arianna Bei, Martino Tony Miele, Lucia Piredda, Vittorio Manzari, Andrea Modesti, Roberto Bei
Summary: Immune effector cells play a critical role in determining tumor growth outcomes in the tissue microenvironment during neoplastic progression. Nutraceuticals, identified as natural compounds that may impact health and disease statuses, show potential benefits as immunomodulators in cancer treatment with subtle cell-specific effects.
PHARMACOLOGY & THERAPEUTICS
(2021)
Review
Oncology
Jun Gong, Andrew Hendifar, Alexandra Gangi, Karen Zaghiyan, Katelyn Atkins, Yosef Nasseri, Zuri Murrell, Jane C. Figueiredo, Sarah Salvy, Robert Haile, Megan Hitchins
Summary: Circulating tumor DNA (ctDNA) are fragments of tumor DNA that can be detected in the blood of patients with colorectal cancer, providing important information for clinical care. Measuring ctDNA levels can predict cancer recurrence in patients with colon cancer and inform early treatment response in those with metastatic colorectal cancer. Studies are ongoing to evaluate the clinical utility of ctDNA in various stages of colorectal cancer management.
Article
Oncology
Lu Xie, Yufei Yang, Wei Guo, Dongxue Che, Jie Xu, Xin Sun, Kuisheng Liu, Tingting Ren, Xingyu Liu, Yi Yang, Tao Ji, Xiaodong Tang
Summary: High TMB is associated with better prognosis in osteosarcoma patients, as indicated by longer progression-free survival and overall survival. TMB may help optimize risk stratification and guide treatment decisions in combination with traditional clinicopathologic risk factors.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Olivia Goodkin, Hugh G. Pemberton, Sjoerd B. Vos, Ferran Prados, Ravi K. Das, James Moggridge, Bianca De Blasi, Philippa Bartlett, Elaine Williams, Thomas Campion, Lukas Haider, Kirsten Pearce, Nuria Bargallo, Esther Sanchez, Sotirios Bisdas, Mark White, Sebastien Ourselin, Gavin P. Winston, John S. Duncan, Jorge Cardoso, John S. Thornton, Tarek A. Yousry, Frederik Barkhof
Summary: This study found that using QReports of HS imaging biomarkers can improve rater accuracy and confidence, particularly in challenging bilateral cases. Improvements were seen across all raters, with large effect sizes, greatest for image analysts. These findings may have positive implications for clinical radiology services and justify further validation in larger groups.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jin Young Kim, Yoo Jin Hong, Kyunghwa Han, Hye-Jeong Lee, Jin Hur, Young Jin Kim, Byoung Wook Choi
Summary: This study investigated the regional amyloid burden and myocardial deformation in patients with cardiac amyloidosis (CA) based on late gadolinium enhancement (LGE) patterns. The results showed that quantitative T1 mapping parameters like native T1 and ECV may help diagnose early CA, with increased basal ECV related to decreased basal strain.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Review
Oncology
Giuseppe Carlo Iorio, Francesca Arcadipane, Stefania Martini, Umberto Ricardi, Pierfrancesco Franco
Summary: The article discusses the potential toxicity burden and de-escalation strategies following standard chemoradiotherapy for HPV-related oropharyngeal squamous cell carcinoma patients. Various approaches to therapy de-escalation are explored, including local and systemic strategies. It is advised not to make any changes in management or deviate from the standard of care outside of clinical trials while awaiting further evidence.
CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
(2021)
Review
Clinical Neurology
Emily Beswick, Emily Park, Charis Wong, Arpan R. Mehta, Rachel Dakin, Siddharthan Chandran, Judith Newton, Alan Carson, Sharon Abrahams, Suvankar Pal
Summary: Up to 50% of ALS patients experience cognitive dysfunction, with high rates of depression and anxiety reported. However, past 25 years of clinical trials have largely neglected the importance of neuropsychiatric symptoms and cognitive impairment in ALS. Evaluation of these non-motor features is crucial for understanding the impact of candidate drugs on all symptoms of ALS.
JOURNAL OF NEUROLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Michael Clement, Camille Kurtz, Laurent Wendling
PATTERN RECOGNITION
(2020)
Article
Computer Science, Artificial Intelligence
Jimmy Francky Randrianasoa, Pierre Cettour-Janet, Camille Kurtz, Eric Desjardin, Pierre Gancarski, Nathalie Bednarek, Francois Rousseau, Nicolas Passat
Summary: The binary partition tree (BPT) provides a hierarchical representation of images at multiple scales, facilitating optimization-based segmentation methods. The evaluation framework for BPT quality is supervised and considers user objectives expressed through chosen ground-truth and quality metrics.
PATTERN RECOGNITION
(2021)
Article
Computer Science, Artificial Intelligence
Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent
Summary: Image time series (ITS) are complex 3D data widely used in various domains. This work introduces Deep-STaR, a method that learns features from ITS data for classification by exploring novel 2D planar data representations. The results show the benefits of this method in enhancing interpretability of spatio-temporal phenomena in remote sensing applications.
COMPUTER VISION AND IMAGE UNDERSTANDING
(2021)
Article
Gastroenterology & Hepatology
Claire Gallois, Jean-Francois Emile, Stefano Kim, Carole Monterymard, Marine Gilabert, Jeremie Bez, Astrid Lievre, Laetitia Dahan, Pierre Laurent-Puig, Laurent Mineur, Romain Coriat, Jean-Louis Legoux, Vincent Hautefeuille, Jean-Marc Phelip, Thierry Lecomte, Harry Sokol, Claude Capron, Violaine Randrian, Come Lepage, Nicolas Lomenie, Camille Kurtz, Julien Taieb, David Tougeron
Summary: Pembrolizumab has shown great efficacy in MSI/dMMR mCRC patients, but not in MSS/pMMR mCRC patients. The POCHI trial aims to evaluate the efficacy of Pembrolizumab with Capox Bevacizumab in MSS/pMMR mCRC patients with high immune infiltrate.
DIGESTIVE AND LIVER DISEASE
(2021)
Article
Computer Science, Artificial Intelligence
Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent
Summary: This paper proposes a strategy based on Random Walk to reduce the dimension of image time series data from 2D+t to 2D, making it more easily manipulable without losing too much spatial information. By feeding the new data representation into a classical Convolutional Neural Network, spatio-temporal features can be learned effortlessly and used for various classification problems.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Software Engineering
Jimmy Francky Randrianasoa, Camille Kurtz, Eric Desjardin, Nicolas Passat
Summary: AGAT is a Java library designed for constructing, handling, and evaluating binary partition trees, offering a wide range of functionalities for multiscale partitioning of images and graph-based analysis. Beyond imaging applications, it has potential applications in computer vision, image data analysis, and machine learning, providing users with tools for developing new methods and paradigms in the field.
Article
Computer Science, Artificial Intelligence
Robin Delearde, Camille Kurtz, Laurent Wendling
Summary: A major challenge in scene understanding is handling spatial relations between objects or object parts. Researchers propose a descriptor called (discrete) Force Banner, which computes the interaction between objects under different forces to describe complex spatial configurations. Experimental results demonstrate the potential of this approach in classification and spatial configuration description.
PATTERN RECOGNITION
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz, Philippe Joly, Nicolas Lomenie
Summary: This article explores the impact of temperature on classification tasks, proposes a heuristic analysis using a set of statistics to obtain a default temperature value, and studies the correlation between these statistics and the optimal temperature.
2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Olivier Risser-Maroix, Camille Kurtz, Nicolas Lomenie
Summary: Similarity is a fundamental concept in artificial intelligence and cognitive sciences, but defining and measuring similarity between concepts and images remains challenging. This paper proposes a novel approach to retrospectively identify similarities between different concepts and provides a pipeline to explain the similarity of image pairs.
STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Maxime Faure, Sylvain Lobry, Camille Kurtz, Laurent Wendling
Summary: This article proposes a method that uses histograms of forces to model spatial relations in remote sensing images and constructs a ground-truth database of image/question/answer triplets. The performances of a classical VQA model are evaluated using this method, and a curriculum learning strategy is proposed to account for the varying difficulty of questions embedding spatial relations. The results show an improvement in the performances of the model, highlighting the interest of embedding spatial relations in VQA for remote sensing applications.
2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Guillaume Serieys, Camille Kurtz, Laure Fournier, Florence Cloppet
Summary: Radiologists face the challenge of interpreting cross-sectional studies with thousands of images. Integrating a Content-Based Image Retrieval (CBIR) system into a picture archiving and communication system (PACS) can improve the diagnosis of new cases. However, the current state-of-the-art deep learning methods for extracting visual features have limitations. This study explores the use of semantic information from radiological reports to enhance the learning of neural models and improve visual representation of images.
2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
(2022)
Proceedings Paper
Optics
Mohamed-Hicham Leghettas, Robin Delearde, Camille Kurtz, Laurent Wendling
Summary: A segmentation pipeline called ComViSe is proposed, which only requires high-level annotations for image segmentation and is easier to obtain compared to pixel-level annotations. The pipeline generates image region proposals by embedding a pre-trained segmentation framework on a semantically different dataset and selects the optimal segmentation mask using multiple criteria.
FOURTEENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2021)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Olivier Risser-Maroix, Camille Kurtz, Nicolas Lomenie
Summary: This study focuses on recognizing similarities between images, especially when analogy is important, by using neural networks and metric learning framework for image feature learning. Experimental results show that this method has a significant advantage in improving image retrieval accuracy.
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Mohamed Chelali, Camille Kurtz, Nicole Vincent
Summary: The article introduces a method for violence recognition in videos using a classical 2D convolutional neural network. The strategy involves building multiple 2D spatio-temporal representations from input videos and feeding them to the CNN for the train/test process. The classification decision is made based on aggregating individual decisions from different spatio-temporal representations. Experimentation on public datasets containing violent videos shows the effectiveness of the proposed method.
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Robin Delearde, Camille Kurtz, Philippe Dejean, Laurent Wendling
Summary: The SegMyO pipeline is a solution for automatically extracting segmented objects from images based on given labels or bounding boxes, by finding the closest label or choosing the best coverage based on geometric criteria. This approach is effective for weakly-supervised segmentation and datasets with weak object annotations, providing a simple solution without specific training.
VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 5: VISAPP
(2021)
Article
Oncology
Xiaofan Pu, Chaolei Zhang, Guoping Ding, Hongpeng Gu, Yang Lv, Tao Shen, Tianshu Pang, Liping Cao, Shengnan Jia
Summary: This study demonstrated the potential utility of the sEV-miRNA d-signature in the diagnosis of PDAC via machine learning methods. A novel sEV biomarker, miR-664a-3p, was identified for the diagnosis of PDAC. It can also potentially promote angiogenesis and metastasis, provide insight into PDAC pathogenesis, and reveal novel regulators of this disease.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Jiaping Wang, Zhijuan Xu, Yanli Lai, Yanli Zhang, Ping Zhang, Qitian Mu, Shujun Yang, Yongcheng Sun, Lixia Sheng, Guifang Ouyang
Summary: This study demonstrates the significance of PD-1 in EBV-infected lymphoma cells. Silencing PD-1 enhances the tumor targeting effect of EBV-specific killer T cells on B lymphocytes and attenuates the immune escape effect.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Qiliang Peng, Jialong Tao, Yingjie Xu, Yi Shen, Yong Wang, Yang Jiao, Yiheng Mao, Yaqun Zhu, Yulong Liu, Ye Tian
Summary: This study investigates the potential role of lipid metabolism-associated genes (LMAGs) in neoadjuvant chemoradiotherapy (nCRT) and immunotherapy for rectal cancer. The results suggest that the SREBF2 gene is a highly predictive factor for nCRT in rectal cancer and is associated with favorable prognosis. SREBF2 is also closely associated with immune cell infiltration and immunotherapy-related genes.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Shiquan Li, Nan Zhang, Yongping Yang, Tongjun Liu
Summary: This study investigated the potential molecular mechanism of SPDEF in immune evasion of colorectal cancer (CRC) and found that it suppresses immune evasion by activating CCL28 through the modulation of M2 polarization of macrophages. These findings provide a new research direction and potential therapeutic target for immunotherapy in CRC.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Manas Sehgal, Soundharya Ramu, Joel Markus Vaz, Yogheshwer Raja Ganapathy, Srinath Muralidharan, Sankalpa Venkatraghavan, Mohit Kumar Jolly
Summary: This study investigates the relationship between gene expression patterns and phenotypic plasticity and heterogeneity in colorectal cancer (CRC). The results demonstrate the interconnectedness between different Consensus Molecular Subtypes (CMS) of CRC and specific phenotypes such as epithelial and mesenchymal characteristics. Additionally, the study reveals correlations between metabolic pathways and phenotypic scores, as well as between PD-L1 activity and mesenchymal phenotype. Single-cell RNA sequencing analysis further confirms the heterogeneity of different CMS subtypes. These findings have important implications for understanding CRC heterogeneity and developing targeted therapies.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Yutong Zou, Siyao Guo, Yan Liao, Weidong Chen, Ziyun Chen, Junkai Chen, Lili Wen, Xianbiao Xie
Summary: This study found that ceramide metabolism is associated with the progression and clinical outcome of osteosarcoma by analyzing data from osteosarcoma patients. The gene ST3GAL1 plays an important role in osteosarcoma, regulating the tumor immune microenvironment and affecting T cell function. It may become a new target for the treatment of osteosarcoma.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Chuanhui Chen, Mengzhi Wan, Xiong Peng, Qing Zhang, Yu Liu
Summary: This study examines the function and mechanism of the ceRNA network centered around GPR37 in LUAD. The findings show that high expression of GPR37 in LUAD tissue samples is associated with poor prognosis, and it may regulate the expression of downstream target genes by competitively binding to lncRNA DLEU1 and miR-4458.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Junping Li, Hong Hu, Jinping He, Yuling Hu, Manting Liu, Bihui Cao, Dongni Chen, Xiaodie Ye, Jian Zhang, Zhiru Zhang, Wen Long, Hui Lian, Deji Chen, Likun Chen, Lili Yang, Zhenfeng Zhang
Summary: Sequential administration of CDC7 inhibitor XL413 after carboplatin enhances the chemotherapeutic effect of carboplatin on ovarian cancer cells, possibly by inhibiting homologous recombination repair activity and increasing the accumulation of chemotherapy-induced DNA damage.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Madison Catalanotto, Joel Markus Vaz, Camille Abshire, Reneau Youngblood, Min Chu, Herbert Levine, Mohit Kumar Jolly, Ana -Maria Dragoi
Summary: The study demonstrates that loss of FLASH in cancer cells leads to a hybrid E/M phenotype with high epithelial scores, suggesting FLASH acts as a repressor of the epithelial phenotype. Additionally, FLASH expression is inversely correlated with the epithelial score and subsets of mesenchymal markers are distinctly up-regulated in FLASH, NPAT, or SLBP-depleted cells.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Xiaorui Wang, Na Li, Minying Zheng, Yongjun Yu, Shiwu Zhang
Summary: Adipocytes are derived from pluripotent mesenchymal stem cells and histone modifications play a key role in their differentiation. Recent studies have shown that cancer stem cells can differentiate into adipocytes, reducing the malignancy of cancer cells.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Hana Q. Sadida, Alanoud Abdulla, Sara Al Marzooqi, Sheema Hashem, Muzafar A. Macha, Ammira S. Al-Shabeeb Akil, Ajaz A. Bhat
Summary: Cancer heterogeneity and drug resistance are major obstacles to effective cancer treatment, and epigenetic modifications play a pivotal role in these processes. This review explores essential epigenetic modifications, including DNA methylation, histone modifications, and chromatin remodeling, and discusses their complex contributions to cancer biology. However, the interplay of epigenetic and genetic changes in cancer cells presents unique challenges that must be addressed to fully exploit the potential of epigenetic modifications.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Pedro De Marchi, Leticia Ferro Leal, Luciane Sussuchi da Silva, Rodrigo de Oliveira Cavagna, Flavio Augusto Ferreira da Silva, Vinicius Duval da Silva, Eduardo C. A. da Silva, Augusto O. Saito, Vladmir C. Cordeiro de Lima, Rui Manuel Reis
Summary: The TIS and IFN-gamma signatures are predictive biomarkers for identifying NSCLC patients who could potentially benefit from immune checkpoint inhibitor therapies.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Giovanni Marchi, Anna Rajavuori, Mai T. N. Nguyen, Kaisa Huhtinen, Sinikka Oksa, Sakari Hietanen, Sampsa Hautaniemi, Johanna Hynninen, Jaana Oikkonen
Summary: The study shows that ctDNA can adequately represent high-grade serous ovarian carcinoma (HGSC), and the mutations observed at relapse suggest personalized therapy options.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Yuncang Yuan, Jiawei Fan, Dandan Liang, Shijie Wang, Xu Luo, Yongjie Zhu, Nan Liu, Tingxiu Xiang, Xudong Zhao
Summary: This study demonstrates that csGRP78-directed CAR-T cells can selectively kill pancreatic cancer cells, and the combination with chemotherapy enhances cytotoxicity.
TRANSLATIONAL ONCOLOGY
(2024)
Article
Oncology
Niyati Piplani, Tanusri Roy, Neha Saxena, Shamik Sen
Summary: The glycocalyx, a protective barrier surrounding cells, has been found to play a role in cancer cell proliferation, survival, and metastasis. However, its function in maintaining DNA/nuclear integrity during migration through dense matrices has not been explored. This study shows that the bulkiness of the glycocalyx is inversely associated with nuclear stresses, and highlights its mechanical role in shielding migration-associated stresses.
TRANSLATIONAL ONCOLOGY
(2024)
