4.5 Article

Conventional Frequency Ultrasonic Biomarkers of Cancer Treatment Response In Vivo

期刊

TRANSLATIONAL ONCOLOGY
卷 6, 期 3, 页码 234-U190

出版社

ELSEVIER SCIENCE INC
DOI: 10.1593/tlo.12385

关键词

-

类别

资金

  1. Canadian Breast Cancer Foundation Postdoctoral Fellowship
  2. Natural Sciences and Engineering Research Council of Canada Alexander Graham Bell Graduate Scholarship
  3. Canadian Breast Cancer Foundation, Ontario Region
  4. Terry Fox Foundation
  5. Natural Sciences and Engineering Research Council of Canada

向作者/读者索取更多资源

BACKGROUND: Conventional frequency quantitative ultrasound in conjunction with textural analysis techniques was investigated to monitor noninvasively the effects of cancer therapies in an in vivo preclinical model. METHODS: Conventional low-frequency (similar to 7 MHz) and high-frequency (similar to 20 MHz) ultrasound was used with spectral analysis, coupled with textural analysis on spectral parametric maps, obtained from xenograft tumor-bearing animals (n = 20) treated with chemotherapy to extract noninvasive biomarkers of treatment response. RESULTS: Results indicated statistically significant differences in quantitative ultrasound-based biomarkers in both low- and high-frequency ranges between untreated and treated tumors 12 to 24 hours after treatment. Results of regression analysis indicated a high level of correlation between quantitative ultrasound-based biomarkers and tumor cell death estimates from histologic analysis. Applying textural characterization to the spectral parametric maps resulted in an even stronger correlation (r(2) = 0.97). CONCLUSION: The results obtained in this research demonstrate that quantitative ultrasound at a clinically relevant frequency can monitor tissue changes in vivo in response to cancer treatment administration. Using higher order textural information extracted from quantitative ultrasound spectral parametric maps provides more information at a high sensitivity related to tumor cell death.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemical Research Methods

Use of photoacoustic imaging for monitoring vascular disrupting cancer treatments

Muhannad N. Fadhel, Sila Appak Baskoy, Yanjie Wang, Eno Hysi, Michael C. Kolios

Summary: Vascular disrupting agents can disrupt tumor vessels and inhibit the growth of tumors. Spectroscopic photoacoustic imaging can be used to monitor the effectiveness of these agents in disrupting tumor vessels and assessing the efficacy of cancer treatments.

JOURNAL OF BIOPHOTONICS (2023)

Article Engineering, Biomedical

Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images

Khadijeh Saednia, William T. Tran, Ali Sadeghi-Naini

Summary: This study proposes a multi-scale attention-guided deep learning model for accurate classification of breast tissue in digital histology images. By analyzing images at low and high magnifications using parallel convolutional neural networks and incorporating an attention mechanism, the model improves the accuracy of deep learning models in classifying digital histology images.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION (2023)

Article Engineering, Biomedical

High-frequency quantitative ultrasound for the assessment of the acoustic properties of engineered tissues in vitro

Joseph A. Sebastian, Eric M. Strohm, Emmanuel Cherin, Bahram Mirani, Christine E. M. Demore, Michael C. Kolios, Craig A. Simmons

Summary: High-frequency ultrasound can non-invasively characterize and monitor the acoustic properties of biomaterials and engineered tissues. A new method is proposed to accurately measure the speed of sound, acoustic impedance, and acoustic attenuation of cell-laden hydrogels, taking into account the frequency-dependent effects of attenuation in coupling media, hydrogel thickness, and interfacial transmission/reflection coefficients of ultrasound waves. The acoustic attenuation coefficients were found to increase with increasing cell concentration, reflecting the cellularity of the hydrogel independent of its thickness.

ACTA BIOMATERIALIA (2023)

Article Engineering, Biomedical

Pharmacokinetic Modeling of the Second-Wave Phenomenon in Nanobubble-Based Contrast-Enhanced Ultrasound

Chuan Chen, Reshani Perera, Michael C. C. Kolios, Hessel Wijkstra, Agata A. A. Exner, Massimo Mischi, Simona Turco

Summary: Nanobubbles, with their unique physical properties, have shown potential as a new generation ultrasound contrast agent for various applications. The appearance of a second bolus (wave) following the first pass of nanobubbles has been observed, which is not seen with conventional microbubbles and molecular contrast agents. This study aims to develop a new compartmental pharmacokinetic model to analyze the roles of physiological factors in the characteristics of the second-wave phenomenon.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2023)

Article Oncology

Mepitel Film for the Prevention of Acute Radiation Dermatitis in Breast Cancer: A Randomized Multicenter Open-Label Phase III Trial

Tara Behroozian, Lauren Milton, Irene Karam, Liying Zhang, Keyue Ding, Julia Lou, Francois Gallant, Eileen Rakovitch, William Tran, Hany Soliman, Eric Leung, Danny Vesprini, Ewa Szumacher, Hanbo Chen, Elysia Donovan, Jacqueline Lam, Silvana Spadafora, Matt Wronski, Chris Lavoie, Natalie Walde, Emily Lam, Gina Wong, Erin McKenzie, Krista Ariello, Samantha Kennedy, Saba Shariati, Katherine Carothers, Glen Gonzales, Yulya Kagan, Edward Chow

Summary: A confirmatory randomized controlled trial was conducted to evaluate the effectiveness of Mepitel film (MF) in reducing radiation dermatitis (RD) in patients undergoing breast radiotherapy. The results showed that MF significantly reduced the incidence of grade 2 or 3 RD and had positive effects on patient-reported outcomes and clinician-reported outcomes.

JOURNAL OF CLINICAL ONCOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

A novel tissue mechanics-based method for improved motion tracking in quasi-static ultrasound elastography

Niusha Kheirkhah, Sergio Dempsey, Ali Sadeghi-Naini, Abbas Samani

Summary: This study proposes a technique to improve the accuracy of displacement data in ultrasound elastography, especially in the lateral direction. The technique uses mathematical constraints to regularize displacement and strain fields, resulting in substantial improvement in image quality.

MEDICAL PHYSICS (2023)

Article Computer Science, Information Systems

Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI

Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini

Summary: This study introduces a novel system for automatic assessment of Stereotactic Radiation Therapy (SRT) outcome in brain metastasis using standard serial MRI. The system utilizes a deep learning-based segmentation framework to delineate tumors longitudinally on serial MRI with high precision and analyze the longitudinal changes in tumor size to evaluate therapy outcome and detect adverse radiation effects (ARE). The comparison between automatic evaluation and manual assessments by experts shows a high agreement. This study is of great significance for the workflow in radio-oncology.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2023)

Article Oncology

Multiphysics Modeling of Low-Intensity Pulsed Ultrasound Induced Chemotherapeutic Drug Release from the Surface of Gold Nanoparticles

Tyler K. Hornsby, Farshad Moradi Kashkooli, Anshuman Jakhmola, Michael C. Kolios, Jahangir (Jahan) Tavakkoli

Summary: Ultrasound can induce the release of anticancer drugs from nanoparticle drug carriers, as observed in previous studies. This study applies the DLVO theory to predict the release of doxorubicin from gold nanoparticle drug carriers under low-intensity pulsed ultrasound exposure. The findings contribute to understanding the mechanism of ultrasound-induced drug release from nanoparticles.

CANCERS (2023)

Article Engineering, Biomedical

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI

Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini

Summary: This study proposes and investigates new explainable deep-learning models for predicting the outcome of radiotherapy for brain metastases. The proposed self-attention-guided 3D residual network outperforms other models in accuracy, F1-score, and AUC. The visualization results demonstrate the importance of lesion characteristics in treatment-planning MRI for predicting local outcome.

IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2023)

Article Engineering, Biomedical

Characterization of the interaction of nanobubble ultrasound contrast agents with human blood components

Michaela B. Cooley, Eric C. Abenojar, Dana Wegierak, Anirban Sen Gupta, Michael C. Kolios, Agata A. Exner

Summary: This study examined the effects of blood components on the acoustic response of nanobubbles. The results showed that nanobubbles in human whole blood had a gradual increase in signal enhancement and attached to the surface of red blood cells, indicating that direct interaction between nanobubbles and red blood cells may be key to extending their circulation time.

BIOACTIVE MATERIALS (2023)

Article Pharmacology & Pharmacy

A spatiotemporal computational model of focused ultrasound heat-induced nano-sized drug delivery system in solid tumors

Farshad Moradi Kashkooli, Mohammad Souri, Jahangir (Jahan) Tavakkoli, Michael C. Kolios

Summary: Through computational investigation, it is found that focused ultrasound-triggered nano-sized drug delivery can enhance localized treatment efficacy for solid tumors. Integrating thermosensitive liposome and focused ultrasound provides a promising drug delivery system.

DRUG DELIVERY (2023)

Review Chemistry, Multidisciplinary

Ultrasound-mediated nano drug delivery for treating cancer: Fundamental physics to future directions

Farshad Moradi Kashkooli, Anshuman Jakhmola, Tyler K. Hornsby, Jahangir (Jahan) Tavakkoli, Michael C. Kolios

Summary: The application of biocompatible nanocarriers in medicine has provided several benefits over conventional treatment methods. Therapeutic ultrasound (TUS) has shown potential in both standalone anticancer treatment and targeted drug release. By combining nanomedicine and ultrasound as a smart drug delivery system (DDS), it is possible to enhance in situ drug delivery, improve access to impermeable tissues, and achieve targeted drug release. However, further research and clinical trials are needed to understand the physical mechanisms and interactions involved and to overcome the challenges in advancing TUS as an efficient and safe cancer treatment.

JOURNAL OF CONTROLLED RELEASE (2023)

Article Materials Science, Multidisciplinary

On the potential application of surface plasmon-based core-shell particles to study blood functional parameters

K. Sathiyamoorthy, Michael C. Kolios

Summary: We investigated the application of gold nanoshell particles as optical sensors and contrast agents to study the blood functional parameters. Gold nanoshell particles with a core size of 1 mu m that exhibit two prominent plasmonic peaks at 750 and 830 nm were developed. The optical properties of blood samples mixed with gold nanoshells were measured, showing enhanced optical absorption and suggesting their effectiveness as optical sensors/contrast agents for multimodal optical and photoacoustic sensing and imaging.

MATERIALS RESEARCH EXPRESS (2023)

Review Nanoscience & Nanotechnology

Ultrasound-mediated nano-sized drug delivery systems for cancer treatment: Multi-scale and multi-physics computational modeling

Farshad Moradi Kashkooli, Tyler K. K. Hornsby, Michael C. C. Kolios, Jahangir (Jahan) Tavakkoli

Summary: Computational modeling is a powerful tool to study and understand complex biological phenomena in anticancer drug delivery systems, especially nano-sized DDSs. The combination of NSDDSs and therapeutic ultrasound has shown great potential for cancer treatment. Mathematical modeling plays a crucial role in developing effective DDSs, as it involves multiple parameters and complex equations governing different phenomena. This study provides an in-depth review of recent advances in the mathematical modeling of TUS-mediated DDSs and discusses their potential for improving cancer treatment through clinical translation.

WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY (2023)

Article Chemistry, Physical

Microfluidic nanobubbles: observations of a sudden contraction of microbubbles into nanobubbles

Ali A. Paknahad, Intesar O. Zalloum, Raffi Karshafian, Michael C. Kolios, Scott S. H. Tsai

Summary: Microfluidic devices are used to create uniform microbubbles. By controlling lipid concentration and microfluidic geometry, monodisperse bulk nanobubbles can be produced. An interesting observation is that microbubbles above and below a critical diameter experience different shrinkage behaviors.

SOFT MATTER (2023)

Article Oncology

Diagnostic plasma small extracellular vesicles miRNA signatures for pancreatic cancer using machine learning methods

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

Silencing of PD-1 combined with EBV-specific killer T cells for the treatment of EBV-associated B lymphoma

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

Lipid metabolism-associated genes serve as potential predictive biomarkers in neoadjuvant chemoradiotherapy combined with immunotherapy in rectal cancer

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

Transcriptionally activates CCL28 expression to inhibit M2 polarization of macrophages and prevent immune escape in colorectal cancer cells

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

Characterizing heterogeneity along EMT and metabolic axes in colorectal cancer reveals underlying consensus molecular subtype-specific trends

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

Ceramide metabolism-related prognostic signature and immunosuppressive function of ST3GAL1 in osteosarcoma

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

GPR37-centered ceRNA network contributes to metastatic potential in lung adenocarcinoma: Evidence from high-throughput sequencing

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

Effective sequential combined therapy with carboplatin and a CDC7 inhibitor in ovarian cancer

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

Dual role of CASP8AP2/FLASH in regulating epithelial-to-mesenchymal transition plasticity (EMP)

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

Acetylation and deacetylation of histone in adipocyte differentiation and the potential significance in cancer

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

Epigenetic modifications: Key players in cancer heterogeneity and drug resistance

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

Gene expression profiles (GEPs) of immuno-oncologic pathways as predictors of response to checkpoint inhibitors in advanced NSCLC

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

Extensive mutational ctDNA profiles reflect High-grade serous cancer tumors and reveal emerging mutations at recurrence

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

Cell surface GRP78-directed CAR-T cells are effective at treating human pancreatic cancer in preclinical models

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

Bulky glycocalyx shields cancer cells from invasion-associated stresses

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)