Article
Radiology, Nuclear Medicine & Medical Imaging
Rossella Rella, Enida Bu, Paolo Belli, Anna Rita Scrofani, Federica Petta, Alberto Borghetti, Fabio Marazzi, Vincenzo Valentini, Riccardo Manfredi
Summary: This study retrospectively investigated whether background parenchymal enhancement (BPE) of the contralateral breast on magnetic resonance imaging (MRI) is associated with clinical outcomes in patients with unilateral invasive breast cancer receiving neoadjuvant chemotherapy (NAC). The results showed that BPE was not associated with overall survival (OS) or disease-free survival (DFS), suggesting limited prognostic value.
DIAGNOSTIC AND INTERVENTIONAL IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Natsuko Onishi, Wen Li, David C. Newitt, Roy J. Harnish, Fredrik Strand, Alex Anh-Tu Nguyen, Vignesh Amal Arasu, Jessica Gibbs, Ella F. Jones, Lisa J. Wilmes, John Kornak, Bonnie N. Joe, Elissa R. Price, Haydee Ojeda-Fournier
Summary: This study retrospectively analyzed the relationship between lack of background parenchymal enhancement (BPE) suppression during neoadjuvant chemotherapy and pathologic response in breast cancer patients. The results showed that in hormone receptor-positive breast cancer, nonsuppressed BPE was associated with lower rates of pathological complete response.
Article
Health Care Sciences & Services
Daniele La Forgia, Angela Vestito, Maurilia Lasciarrea, Maria Colomba Comes, Sergio Diotaiuti, Francesco Giotta, Agnese Latorre, Vito Lorusso, Raffaella Massafra, Gennaro Palmiotti, Lucia Rinaldi, Rahel Signorile, Gianluca Gatta, Annarita Fanizzi
Summary: This study found that the BPE parameter could serve as a predictive marker for therapy response during neoadjuvant therapy in breast cancer patients. The variability of BPE during therapy was associated with treatment effectiveness, which could help improve decision-making in personalized medicine. Further investigations in conjunction with radiomics are warranted to validate these preliminary results.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhen Ren, Federico D. Pineda, Frederick M. Howard, Elle Hill, Teodora Szasz, Rabia Safi, Milica Medved, Rita Nanda, Thomas E. Yankeelov, Hiroyuki Abe, Gregory S. Karczmar
Summary: The study found that breast cancer patients with similar kinetic parameters in ipsi- and contra-lateral normal parenchyma before NAT were more likely to achieve pathologic complete response. Patients classified as RCB II after NAT showed higher values in normal parenchyma and tumor kinetics.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wakana Murakami, Shabnam Mortazavi, Tiffany Yu, Nikhita Kathuria-Prakash, Ran Yan, Cheryce Fischer, Kelly E. McCann, Stephanie Lee-Felker, Sung
Summary: This study evaluated the relationship between background parenchymal enhancement (BPE) levels and breast cancer risk, and found that premenopausal women with BRCA mutations had significantly lower BPE levels compared to non-high-risk premenopausal women.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Su Hyun Lee, Myoung-jin Jang, Heera Yoen, Youkyoung Lee, Yeon Soo Kim, Ah Reum Park, Su Min Ha, Soo-Yeon Kim, Jung Min Chang, Nariya Cho, Woo Kyung Moon
Summary: Background parenchymal enhancement (BPE) at surveillance breast MRI is associated with future second breast cancer risk in women with a personal history of breast cancer.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sarah Eskreis-Winkler, Elizabeth J. Sutton, Donna D'Alessio, Katherine Gallagher, Nicole Saphier, Joseph Stember, Danny F. Martinez, Elizabeth A. Morris, Katja Pinker
Summary: This study aimed to develop a deep learning model for automated classification of background parenchymal enhancement (BPE) in breast MRI and compare its performance with current standard-of-care radiology report BPE designations. The results showed that the deep learning model significantly outperformed the radiology report in terms of performance and could provide more accurate BPE assessments.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Bethany L. Niell, Mahmoud Abdalah, Olya Stringfield, Natarajan Raghunand, Dana Ataya, Robert Gillies, Yoganand Balagurunathan
Summary: The use of quantitative BPE measures may outperform radiologist-assigned category in predicting breast cancer risk, especially at specific enhancement ratio thresholds like BPE%. Further research on risk prediction models incorporating quantitative measures is warranted.
AMERICAN JOURNAL OF ROENTGENOLOGY
(2021)
Article
Oncology
Xiaoxin Hu, Luan Jiang, Chao You, Yajia Gu
Summary: The study results indicate that increased BPEV is highly correlated with a high risk of breast cancer, while FGT is not significantly associated.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Boya Zhang, Jingjin Zhu, Peifang Zhang, Yufan Wei, Yan Li, Aoxi Xu, Yiheng Zhang, Hongye Zheng, Xiaohan Dong, Kaizhou Yang, Chuang Dong, Zhengming Chen, Xiru Li, Liuquan Cheng
Summary: This study developed and applied a BPE quantification framework that incorporates both the volume and intensity of enhancement and could serve as a quantitative imaging biomarker for BPE. The results showed a considerable degree of concordance between the BPE quantitative integral and radiologists' semi-quantitative assessments. Additionally, there was a significant correlation between the BPE integral and BPE grades.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Oncology
Marta Casarrubios, Alberto Cruz-Bermudez, Ernest Nadal, Amelia Insa, Maria del Rosario Garcia Campelo, Martin Lazaro, Manuel Domine, Margarita Majem, Delvys Rodriguez-Abreu, Alex Martinez-Marti, Javier de Castro-Carpeno, Manuel Cobo, Guillermo Lopez-Vivanco, Edel Del Barco, Reyes Bernabe Caro, Nuria Vinolas, Isidoro Barneto Aranda, Santiago Viteri, Bartomeu Massuti, Miguel Barquin, Raquel Laza-Briviesca, Belen Sierra-Rodero, Edwin R. Parra, Beatriz Sanchez-Espiridion, Pedro Rocha, Humam Kadara, Ignacio I. Wistuba, Atocha Romero, Virginia Calvo, Mariano Provencio
Summary: The study aimed to characterize the T-cell receptor (TCR) repertoire as a potential predictive biomarker for pathologic response to immunotherapy in locally advanced nonsmall cell lung cancer (NSCLC). The analysis revealed a positive association between an uneven TCR repertoire in tissue samples and complete pathologic response (CPR) after surgery. Furthermore, top 1% TCR clones in diagnostic biopsies showed potential as predictive biomarkers for CPR, outperforming PD-L1 tumor proportion score (TPS) and tumor mutational burden (TMB).
CLINICAL CANCER RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
H. Sallam, L. Lenga, C. Solbach, S. Becker, T. J. Vogl
Summary: This study evaluated the prognostic value of background parenchymal enhancement (BPE) in breast magnetic resonance imaging (MRI) for high-risk breast cancer patients. The results showed weak or no significant correlations between BPE and patient age, fibroglandular tissue (FGT), Breast Imaging Reporting and Data System (BIRADS) categories, presence of breast cancer, and expression of human epidermal growth factor receptor 2 (HER2), progesterone receptor (PR), estrogen receptor (ER), and Ki67. Therefore, BPE in MRI may not be a reliable biomarker for breast cancer development.
CLINICAL RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yoonho Nam, Ga Eun Park, Junghwa Kang, Sung Hun Kim
Summary: A deep-learning algorithm was developed and evaluated for breast FGT segmentation and BPE classification, showing high accuracy in BPE classification task.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rosie Goodburn, Evanthia Kousi, Clarrissa Sanders, Alison Macdonald, Erica Scurr, Catey Bunce, Komel Khabra, Mamatha Reddy, Louise Wilkinson, Elizabeth O'Flynn, Steven Allen, Maria Angelica Schmidt
Summary: This study investigated whether MRI-based measurements of fibro-glandular tissue volume, breast density, and background parenchymal enhancement (BPE) could be used to stratify two cohorts of healthy women: BRCA carriers and women at population risk of breast cancer. The results showed no significant differences or correlations in these measurements between the two risk groups, but support further investigation into the heterogeneity of parenchymal enhancement.
EUROPEAN RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Rossella Rella, Andrea Contegiacomo, Enida Bufi, Sara Mercogliano, Paolo Belli, Riccardo Manfredi
Summary: BPE in the contralateral breast is associated with breast cancer in several aspects, potentially serving as a tool to refine breast cancer decision-making processes. Further research is needed to standardize BPE assessment for clinical application in the era of personalized medicine.
BRITISH JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Zhang, Jeon-Hor Chen, Yezhi Lin, Siwa Chan, Jiejie Zhou, Daniel Chow, Peter Chang, Tiffany Kwong, Dah-Cherng Yeh, Xinxin Wang, Ritesh Parajuli, Rita S. Mehta, Meihao Wang, Min-Ying Su
Summary: This study aimed to differentiate three breast cancer molecular subtypes on MRI using deep learning algorithms, with the recurrent CNN achieving higher accuracy in the training dataset. Transfer learning was effective in improving classification accuracy, particularly for datasets acquired in different settings.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Zhang, Siwa Chan, Vivian Youngjean Park, Kai-Ting Chang, Siddharth Mehta, Min Jung Kim, Freddie J. Combs, Peter Chang, Daniel Chow, Ritesh Parajuli, Rita S. Mehta, Chin-Yao Lin, Sou-Hsin Chien, Jeon-Hor Chen, Min-Ying Su
Summary: Deep learning using Mask R-CNN provides a feasible method to search, localize, and segment lesions on breast MRI. This method shows high accuracy and good segmentation performance.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Zhang, Ning Yue, Min-Ying Su, Bo Liu, Yi Ding, Yongkang Zhou, Hao Wang, Yu Kuang Department, Ke Nie
Summary: The study demonstrated the improvement of image quality in daily CBCT using deep learning, with 2.5 Pix2pix GAN model identified as the best model. The dose distribution showed high accuracy in photon-based planning, but further research is needed for proton-based treatment.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Min-Ying Su
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuan Li, Yang Zhang, Enlong Zhang, Yongye Chen, Qizheng Wang, Ke Liu, Hon J. Yu, Huishu Yuan, Ning Lang, Min-Ying Su
Summary: This study evaluated the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT, demonstrating good accuracy. Visual features were key indicators of fracture benignity or malignancy, while ResNet50 analysis could improve diagnostic accuracy and sensitivity.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chunhao Wang, Kyle R. Padgett, Min-Ying Su, Eric A. Mellon, Danilo Maziero, Zheng Chang
Summary: Magnetic resonance imaging (MRI) is essential in modern radiation therapy (RT) workflow, providing excellent soft-tissue contrast and the ability to assess tissue functional and physiological information. Multiparametric MRI (mpMRI) is increasingly used for disease detection, localization, and characterization, but clinical application in routine radiation oncology workflow requires additional focus on study design, standardization, and statistical reporting strategies to fully realize its potential.
Article
Clinical Neurology
Lee-Ren Yeh, Yang Zhang, Jeon-Hor Chen, Yan-Lin Liu, An-Chi Wang, Jie-Yu Yang, Wei-Cheng Yeh, Chiu-Shih Cheng, Li-Kuang Chen, Min-Ying Su
Summary: The study aimed to improve the diagnosis of benign and malignant spinal fractures on MRI for less experienced clinicians. By applying the ResNet50 algorithm and deep learning, a decision support system was developed, which showed promising results in assisting the clinicians and enhancing the diagnostic accuracy.
EUROPEAN SPINE JOURNAL
(2022)
Article
Orthopedics
Qi-zheng Wang, En-long Zhang, Xiao-ying Xing, Min-ying Su, Ning Lang
Summary: The study analyzed clinical data from 62 patients with spinal giant cell tumor of bone (GCTB) and found that the maximum lesion diameter and vertebral compression fracture were associated with tumor recurrence after surgery, providing useful information for personalized treatment planning.
ORTHOPAEDIC SURGERY
(2021)
Article
Oncology
You-Fan Zhao, Zhongwei Chen, Yang Zhang, Jiejie Zhou, Jeon-Hor Chen, Kyoung Eun Lee, Freddie J. Combs, Ritesh Parajuli, Rita S. Mehta, Meihao Wang, Min-Ying Su
Summary: By utilizing radiomics models built from features extracted from DCE-MRI and mammography, this study aimed to enhance the diagnostic accuracy of breast cancer. The combination of mammography features with MRI improved the specificity of the models, leading to decreased false positive diagnosis of contrast-enhanced benign lesions on MRI.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Jiejie Zhou, Yan-Lin Liu, Yang Zhang, Jeon-Hor Chen, Freddie J. Combs, Ritesh Parajuli, Rita S. Mehta, Huiru Liu, Zhongwei Chen, Youfan Zhao, Zhifang Pan, Meihao Wang, Risheng Yu, Min-Ying Su
Summary: This study successfully distinguished benign and malignant non-mass enhancement lesions in breast MRI using BI-RADS descriptors and radiomics models. Support vector machine and deep learning ResNet50 demonstrated high accuracy in both training and testing datasets.
FRONTIERS IN ONCOLOGY
(2021)
Article
Clinical Neurology
Yun-Ju Shih, Yan-Lin Liu, Jonathan T. Zhou, Yang Zhang, Jeon-Hor Chen, Tai-Yuan Chen, Cheng-Chun Yang, Min-Ying Su
Summary: The aim of this study was to use registration and 3D display tools to assess the progression of intraparenchymal hemorrhage in patients with traumatic brain injury. The results showed that using registration and 3D video display improved the detection rate of new hemorrhages and the evaluation of lesion progression. These image analysis and visualization methods provide useful tools for comparing changes between sequential CT scans.
JOURNAL OF CLINICAL NEUROSCIENCE
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Min-Ying Lydia Su
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Medicine, General & Internal
Yun-Ju Shih, Yan-Lin Liu, Jeon-Hor Chen, Chung-Han Ho, Cheng-Chun Yang, Tai-Yuan Chen, Te-Chang Wu, Ching-Chung Ko, Jonathan T. Zhou, Yang Zhang, Min-Ying Su
Summary: This study suggests that radiomics analysis of intraparenchymal hemorrhage on initial CT images has the potential to predict hemorrhagic progression of contusion (HPC) and poor neurologic outcome in traumatic intraparenchymal hemorrhage (IPH) patients. The combined model of clinical variables and radiomics scores improves the predictive performance of HPC.
Article
Medicine, General & Internal
Te-Chang Wu, Yan-Lin Liu, Jeon-Hor Chen, Yang Zhang, Tai-Yuan Chen, Ching-Chung Ko, Min-Ying Su
Summary: In this study, radiomics analysis was used to predict hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH) and investigate the impact of intraventricular hemorrhage (IVH). The results showed that the radiomics model improved the accuracy of HE prediction and was associated with poor clinical outcomes.
Article
Medical Informatics
Xiao-Xia Yin, Yunxiang Jian, Yang Zhang, Yanchun Zhang, Jianlin Wu, Hui Lu, Min-Ying Su
Summary: Accurate segmentation of breast tissue in MR images is challenging, especially with low contrast images. A new fully automatic and fast segmentation approach is proposed in this study, combining histogram and inverse Gaussian gradient morphology snakes, along with extended Stein's unbiased risk estimator for unsupervised learning of deep neural network Gaussian denoisers to accurately identify landmarks such as chest and breast.
HEALTH INFORMATION SCIENCE AND SYSTEMS
(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)