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Imaging biomarker cancer

Deepali Jain, Sinchita Roy-Chowdhuri
CONTEXT: - There has been a paradigm shift in the understanding of molecular pathogenesis of lung cancer. A number of oncogenic drivers have been identified in non-small cell lung carcinoma, such as the epidermal growth factor receptor ( EGFR) mutation and anaplastic lymphoma kinase ( ALK) gene rearrangement. Because of the clinical presentation at an advanced stage of disease in non-small cell lung carcinoma patients, the use of minimally invasive techniques is preferred to obtain a tumor sample for diagnosis...
March 16, 2018: Archives of Pathology & Laboratory Medicine
Bin Deng, Mats Lundqvist, Qianqian Fang, Stefan A Carp
Near-infrared diffuse optical tomography (NIR-DOT) is an emerging technology that offers hemoglobin based, functional imaging tumor biomarkers for breast cancer management. The most promising clinical translation opportunities are in the differential diagnosis of malignant vs. benign lesions, and in early response assessment and guidance for neoadjuvant chemotherapy. Accurate quantification of the tissue oxy- and deoxy-hemoglobin concentration across the field of view, as well as repeatability during longitudinal imaging in the context of therapy guidance, are essential for the successful translation of NIR-DOT to clinical practice...
March 1, 2018: Biomedical Optics Express
Neydher Berroterán-Infante, Theresa Balber, Petra Fürlinger, Michael Bergmann, Rupert Lanzenberger, Marcus Hacker, Markus Mitterhauser, Wolfgang Wadsak
The overexpression of the translocator protein (TSPO) has been amply reported for a variety of conditions, including neurodegenerative disorders, heart failure, and cancer. Thus, TSPO has been proposed as an excellent imaging biomarker, allowing, in this manner, to obtain an accurate diagnosis and to follow disease progression and therapy response. Accordingly, several radioligands have been developed to accomplish this purpose. In this work, we selected [18 F]FEPPA, as one of the clinical established tracers, and assessed its in vitro performance in colorectal cancer...
March 8, 2018: ACS Medicinal Chemistry Letters
Zhiyi Liu, Dimitra Pouli, Carlo A Alonzo, Antonio Varone, Sevasti Karaliota, Kyle P Quinn, Karl Münger, Katia P Karalis, Irene Georgakoudi
Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods for this purpose either are destructive or require the use of exogenous agents. Recent work has highlighted the potential of endogenous two-photon excited fluorescence (TPEF) as a method to monitor subtle metabolic changes; however, mechanistic understanding of the connections between the detected optical signal and the underlying metabolic pathways has been lacking...
March 2018: Science Advances
Nathalie Harder, Maria Athelogou, Harald Hessel, Nicolas Brieu, Mehmet Yigitsoy, Johannes Zimmermann, Martin Baatz, Alexander Buchner, Christian G Stief, Thomas Kirchner, Gerd Binnig, Günter Schmidt, Ralf Huss
Tissue Phenomics is the discipline of mining tissue images to identify patterns that are related to clinical outcome providing potential prognostic and predictive value. This involves the discovery process from assay development, image analysis, and data mining to the final interpretation and validation of the findings. Importantly, this process is not linear but allows backward steps and optimization loops over multiple sub-processes. We provide a detailed description of the Tissue Phenomics methodology while exemplifying each step on the application of prostate cancer recurrence prediction...
March 13, 2018: Scientific Reports
Shinichiro Kamiya, Shingo Iwano, Hiroyasu Umakoshi, Rintaro Ito, Hironori Shimamoto, Shota Nakamura, Shinji Naganawa
Purpose To investigate the relationship between the postoperative prognosis of patients with part-solid non-small cell lung cancer and the solid component size acquired by using three-dimensional (3D) volumetry software on multidetector computed tomographic (CT) images. Materials and Methods A retrospective study by using preoperative multidetector CT data with 0.5-mm section thickness, clinical records, and pathologic reports of 96 patients with primary subsolid non-small cell lung cancer (47 men and 49 women; mean age ± standard deviation, 66 years ± 8) were reviewed...
March 14, 2018: Radiology
Roelof J Beukinga, Jan Binne Hulshoff, Véronique E M Mul, Walter Noordzij, Gursah Kats-Ugurlu, Riemer H J A Slart, John T M Plukker
Purpose To assess the value of baseline and restaging fluorine 18 (18 F) fluorodeoxyglucose (FDG) positron emission tomography (PET) radiomics in predicting pathologic complete response to neoadjuvant chemotherapy and radiation therapy (NCRT) in patients with locally advanced esophageal cancer. Materials and Methods In this retrospective study, 73 patients with histologic analysis-confirmed T1/N1-3/M0 or T2-4a/N0-3/M0 esophageal cancer were treated with NCRT followed by surgery (Chemoradiotherapy for Esophageal Cancer followed by Surgery Study regimen) between October 2014 and August 2017...
March 14, 2018: Radiology
Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad, David A Gutman, Jill S Barnholtz-Sloan, José E Velázquez Vega, Daniel J Brat, Lee A D Cooper
Cancer histology reflects underlying molecular processes and disease progression and contains rich phenotypic information that is predictive of patient outcomes. In this study, we show a computational approach for learning patient outcomes from digital pathology images using deep learning to combine the power of adaptive machine learning algorithms with traditional survival models. We illustrate how these survival convolutional neural networks (SCNNs) can integrate information from both histology images and genomic biomarkers into a single unified framework to predict time-to-event outcomes and show prediction accuracy that surpasses the current clinical paradigm for predicting the overall survival of patients diagnosed with glioma...
March 12, 2018: Proceedings of the National Academy of Sciences of the United States of America
Jiuming He, Luojiao Huang, Runtao Tian, Tiegang Li, Chenglong Sun, Xiaowei Song, Yiwei Lv, Zhigang Luo, Xin Li, Zeper Abliz
Mass spectrometry imaging (MSI) has become a powerful tool to probe molecule events in biological tissue. However, it is a widely held viewpoint that one of the biggest challenges is an easy-to-use data processing software for discovering the underlying biological information from complicated and huge MSI dataset. Here, a user-friendly and full-featured MSI software including three subsystems, Solution, Visualization and Intelligence, named MassImager, is developed focusing on interactive visualization, in-situ biomarker discovery and artificial intelligent pathological diagnosis...
July 26, 2018: Analytica Chimica Acta
Andreas H Scheel, Frédérique Penault-Llorca, Wedad Hanna, Gustavo Baretton, Peter Middel, Judith Burchhardt, Manfred Hofmann, Bharat Jasani, Josef Rüschoff
BACKGROUND: Detection of HER2/neu receptor overexpression and/or amplification is a prerequisite for efficient anti-HER2 treatment of breast and gastric carcinomas. Immunohistochemistry (IHC) of the HER2 protein is the most common screening test, thus precise and reproducible IHC-scoring is of utmost importance. Interobserver variance still is a problem; in particular in gastric carcinomas the reliable differentiation of IHC scores 2+ and 1+ is challenging. Herein we describe the physical basis of what we called the 'magnification rule': Different microscope objectives are employed to reproducibly subdivide the continuous spectrum of IHC staining intensities into distinct categories (1+, 2+, 3+)...
March 12, 2018: Diagnostic Pathology
Anna A Rybczynska, Hendrikus H Boersma, Steven de Jong, Jourik A Gietema, Walter Noordzij, Rudi A J O Dierckx, Philip H Elsinga, Aren van Waarde
Successful treatment of cancer patients requires balancing of the dose, timing, and type of therapeutic regimen. Detection of increased cell death may serve as a predictor of the eventual therapeutic success. Imaging of cell death may thus lead to early identification of treatment responders and nonresponders, and to "patient-tailored therapy." Cell death in organs and tissues of the human body can be visualized, using positron emission tomography or single-photon emission computed tomography, although unsolved problems remain concerning target selection, tracer pharmacokinetics, target-to-nontarget ratio, and spatial and temporal resolution of the scans...
March 12, 2018: Medicinal Research Reviews
Michael Yamakawa, Susan J Doh, Samuel M Santosa, Mario Montana, Ellen C Qin, Hyunjoon Kong, Kyu-Yeon Han, Charles Yu, Mark I Rosenblatt, Andrius Kazlauskas, Jin-Hong Chang, Dimitri T Azar
In recent years, lymphangiogenesis, the process of lymphatic vessel formation from existing lymph vessels, has been demonstrated to have a significant role in diverse pathologies, including cancer metastasis, organ graft rejection, and lymphedema. Our understanding of the mechanisms of lymphangiogenesis has advanced on the heels of studies demonstrating vascular endothelial growth factor C as a central pro-lymphangiogenic regulator and others identifying multiple lymphatic endothelial biomarkers. Despite these breakthroughs and a growing appreciation of the signaling events that govern the lymphangiogenic process, there are no FDA-approved drugs that target lymphangiogenesis...
March 12, 2018: Medicinal Research Reviews
Marcello Mancini, Paul Summers, Francesco Faita, Maurizia R Brunetto, Francesco Callea, Andrea De Nicola, Nicole Di Lascio, Fabio Farinati, Amalia Gastaldelli, Bruno Gridelli, Peppino Mirabelli, Emanuele Neri, Piero A Salvadori, Eleni Rebelos, Claudio Tiribelli, Luca Valenti, Marco Salvatore, Ferruccio Bonino
The rapidly growing field of functional, molecular and structural bio-imaging is providing an extraordinary new opportunity to overcome the limits of invasive liver biopsy and introduce a "digital biopsy" for in vivo study of liver pathophysiology. To foster the application of bio-imaging in clinical and translational research, there is a need to standardize the methods of both acquisition and the storage of the bio-images of the liver. It can be hoped that the combination of digital, liquid and histologic liver biopsies will provide an innovative synergistic tri-dimensional approach to identifying new aetiologies, diagnostic and prognostic biomarkers and therapeutic targets for the optimization of personalized therapy of liver diseases and liver cancer...
February 27, 2018: World Journal of Hepatology
Juan Gómez Rivas, Francesco Giganti, Mario Álvarez-Maestro, María Jose Freire, Veeru Kasivisvanathan, Luis Martinez-Piñero, Mark Emberton
CONTEXT: The indeterminate multiparametric prostate magnetic resonance image (mpMRI) lesion is one which cannot be classified as "positive" or "negative" for suspected cancer. Currently, there is no consensus on how to manage patients with indeterminate mpMRIs where areas cannot be classified as positives or negatives (Prostate Imaging Reporting and Data System [PI-RADS] 3 or Likert 3). OBJECTIVE: To define the concept of indeterminate lesion and describe the management strategies that may be adopted for these patients...
March 7, 2018: European Urology Focus
Suparna C Clasen, Joyce W Wald
PURPOSE OF REVIEW: We aim to summarize the effect of cancer therapy-related cardiotoxicity on the development of left ventricular (LV) dysfunction. RECENT FINDINGS: We discuss commonly used cancer therapeutics that have the potential for both acute and delayed cardiotoxicity. LV dysfunction from cancer therapies may be found by routine cardiac imaging prior to clinical manifestations of heart failure (HF) and we discuss the current multi-modality approaches for early detection of toxicity with the use of advanced echocardiographic parameters including strain techniques...
March 8, 2018: Current Cardiology Reports
Silvia Migliari, Antonino Sammartano, Maura Scarlattei, Giulio Serreli, Caterina Ghetti, Carla Cidda, Giorgio Baldari, Ornella Ortenzia, Livia Ruffini
Background : Prostate-specific membrane antigen (PSMA) has gained high attention as a useful biomarker in the imaging evaluation of prostate cancer with positron emission tomography (PET) during recent years. [68 Ga]-labeled Glu-urea-Lys(Ahx)-HBED-CC ([68 Ga]-PSMA-HBED-CC) is a novel PSMA inhibitor radiotracer which has demonstrated its suitability in detecting prostate cancer. Preparation conditions may influence the quality and in vivo behavior of this tracer, and no standard procedure for the quality control (QC) is available...
October 31, 2017: ACS Omega
Yong-Seok Kim, Jae-Sung Ahn, Semi Kim, Hyun-Jin Kim, Shin-Hee Kim, Ju-Seop Kang
Exosomes are membranous vesicles of 30-150 nm in diameter that are derived from the exocytosis of the intraluminal vesicles of many cell types including immune cells, stem cells, cardiovascular cells and tumor cells. Exosomes participate in intercellular communication by delivering their contents to recipient cells, with or without direct contact between cells, and thereby influence physiological and pathological processes. They are present in various body fluids and contain proteins, nucleic acids, lipids, and microRNAs that can be transported to surrounding cells...
March 2018: Korean Journal of Physiology & Pharmacology
Alex Root, Peter Allen, Paul Tempst, Kenneth Yu
Approximately 75% of patients with pancreatic ductal adenocarcinoma are diagnosed with advanced cancer, which cannot be safely resected. The most commonly used biomarker CA19-9 has inadequate sensitivity and specificity for early detection, which we define as Stage I/II cancers. Therefore, progress in next-generation biomarkers is greatly needed. Recent reports have validated a number of biomarkers, including combination assays of proteins and DNA mutations; however, the history of translating promising biomarkers to clinical utility suggests that several major hurdles require careful consideration by the medical community...
March 7, 2018: Cancers
Elodie Melsens, Elly De Vlieghere, Benedicte Descamps, Christian Vanhove, Ken Kersemans, Filip De Vos, Ingeborg Goethals, Boudewijn Brans, Olivier De Wever, Wim Ceelen, Piet Pattyn
BACKGROUND: Esophageal cancer is an aggressive disease with poor survival rates. A more patient-tailored approach based on predictive biomarkers could improve outcome. We aimed to predict radiotherapy (RT) response by imaging tumor hypoxia with18 F-FAZA PET/CT in an esophageal adenocarcinoma (EAC) mouse model. Additionally, we investigated the radiosensitizing effect of the hypoxia modifier nimorazole in vitro and in vivo. METHODS: In vitro MTS cell proliferation assays (OACM5 1...
March 7, 2018: Radiation Oncology
Honghai Wang, Yan Sun, Weiwei Yue, Qi Kang, Huijuan Li, Dazhong Shen
Sensitive detection of cancer biomarkers is valuable for clinical diagnosis and treatment assessment of cancers. Herein, we report a simple smartphone-based double-channel fluorescence setup for immunoassay. Not including the smartphone, the total cost of the detection device itself is about 80 $, including a laser pointer, a twinning measurement cell, a collective lens, and an outside box. The fluorescence images of the sample and reference areas were captured by the camera in the smartphone and the brightness ratio was calculated using a user-edited smartphone app...
March 7, 2018: Analyst
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