Article
Medicine, General & Internal
Yanfeng Bai, Huogen Wang, Xuesong Wu, Menghan Weng, Qingmei Han, Liming Xu, Han Zhang, Chengdong Chang, Chaohui Jin, Ming Chen, Kunfeng Luo, Xiaodong Teng
Summary: In this study, a computer-aided diagnosis system was established to predict the molecular subtypes, p53 status, and PD-L1 status of bladder cancer. The system can reduce the workload of pathologists and medical costs.
FRONTIERS IN MEDICINE
(2022)
Article
Pathology
Wei Ba, Shuhao Wang, Meixia Shang, Ziyan Zhang, Huan Wu, Chunkai Yu, Ranran Xing, Wenjuan Wang, Lang Wang, Cancheng Liu, Huaiyin Shi, Zhigang Song
Summary: This study evaluated the use of deep learning (DL) assistance in the diagnosis of gastric cancer by pathologists. The results demonstrated that pathologists with DL assistance achieved higher sensitivity in detecting gastric cancer and had shorter review time per slide, indicating improved accuracy and efficiency.
Review
Pathology
Yasir Alshareefy, Chai Yu Shen, Rosheene Jeya Prekash
Summary: This paper provides a comprehensive overview of fibrolamellar carcinoma (FLC), a variant of hepatocellular carcinoma (HCC). FLC has a better prognosis compared to other liver tumors. The paper covers epidemiology, pathogenesis, diagnosis, treatment, and prognosis of FLC. Clinical signs of FLC include stomach pain, weight loss, and malaise, with abdominal mass or hepatomegaly being the most common physical findings. Genetic analysis reveals specific chromosomal deletions and pathway activation in FLC. Diagnosis is primarily made using ultrasound, CT, MRI, and image-guided biopsy. Current management options include systemic therapy and surgical resection, but targeted therapies are still lacking. Despite a favorable prognosis, FLC has a high recurrence rate, highlighting the need for further research.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Article
Pharmacology & Pharmacy
Jingtao Chen, Chao Niu, Ning Yang, Chunyan Liu, Shan-shan Zou, Shan Zhu
Summary: Liver cancer is a common malignancy, with high morbidity and mortality. Despite progress in treatment, the overall survival rate of patients has not significantly improved. This review highlights the importance of identifying specific liver cancer biomarkers for early screening, accurate diagnosis, prognosis, and prevention of tumor progression. It also discusses the latest research progress and potential applications in biomarker discovery.
PHARMACOLOGICAL RESEARCH
(2023)
Article
Gastroenterology & Hepatology
Thomas Albrecht, Annik Rossberg, Jana Dorothea Albrecht, Jan Peter Nicolay, Beate Katharina Straub, Tiemo Sven Gerber, Michael Albrecht, Fritz Brinkmann, Alphonse Charbel, Constantin Schwab, Johannes Schreck, Alexander Brobeil, Christa Flechtenmacher, Moritz von Winterfeld, Bruno Christian Koehler, Christoph Springfeld, Arianeb Mehrabi, Stephan Singer, Monika Nadja Vogel, Olaf Neumann, Albrecht Stenzinger, Peter Schirmacher, Cleo-Aron Weis, Stephanie Roessler, Jakob Nikolas Kather, Benjamin Goeppert
Summary: We present a deep learning model (HEPNET) that can accurately distinguish intrahepatic cholangiocarcinoma from colorectal liver metastasis using H&E-stained whole-slide images. HEPNET achieved high accuracy on both internal and external test sets, surpassing the performance of pathology experts.
Review
Nanoscience & Nanotechnology
Yitong Li, Ruihang Zhang, Zhen Xu, Zhicheng Wang
Summary: Liver cancer is a gradually increasing disease worldwide, and its diagnosis and treatment still face challenges. The emergence of liposomes has provided new possibilities for the treatment of liver cancer.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2022)
Review
Endocrinology & Metabolism
Anna Crescenzi, Zubair Baloch
Summary: The use of immunohistochemistry is crucial in thyroid pathology, going beyond the confirmation of thyroid origin to include molecular profiling and prediction of clinical behavior. It has also influenced the classification scheme of thyroid tumors. Immunostains should be interpreted in conjunction with cytologic and architectural features, and their validation is essential for specimens with limited cellularity.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Yoo Jung Kim, Hyungjoon Jang, Kyoungbun Lee, Seongkeun Park, Sung-Gyu Min, Choyeon Hong, Jeong Hwan Park, Kanggeun Lee, Jisoo Kim, Wonjae Hong, Hyun Jung, Yanling Liu, Haran Rajkumar, Mahendra Khened, Ganapathy Krishnamurthi, Sen Yang, Xiyue Wang, Chang Hee Han, Jin Tae Kwak, Jianqiang Ma, Zhe Tang, Bahram Marami, Jack Zeineh, Zixu Zhao, Pheng-Ann Heng, Ruediger Schmitz, Frederic Madesta, Thomas Roesch, Rene Werner, Jie Tian, Elodie Puybareau, Matteo Bovio, Xiufeng Zhang, Yifeng Zhu, Se Young Chun, Won-Ki Jeong, Peom Park, Jinwook Choi
Summary: PAIP is a free research platform supporting pathological artificial intelligence, aiming to construct high-quality pathology learning dataset for accessibility. The PAIP challenge this year evaluated new algorithms for automated liver cancer detection and required participants to use data and statistical metrics for performance evaluation.
MEDICAL IMAGE ANALYSIS
(2021)
Review
Oncology
Gregory Verghese, Jochen K. Lennerz, Danny Ruta, Wen Ng, Selvam Thavaraj, Kalliopi P. Siziopikou, Threnesan Naidoo, Swapnil Rane, Roberto Salgado, Sarah E. Pinder, Anita Grigoriadis
Summary: Computational pathology refers to the use of deep learning techniques and algorithms to analyze and interpret histopathology images. Despite its promising potential, the integration of computational pathology in clinical settings is hindered by various obstacles, including operational, technical, regulatory, ethical, financial, and cultural challenges.
JOURNAL OF PATHOLOGY
(2023)
Review
Oncology
Tess Kramer, Jouke T. Annema
Summary: Lung cancer is the leading cause of cancer-related deaths globally and the development of bronchoscopic techniques plays a crucial role in the diagnosis and treatment of the disease, especially in cases of peripheral lung lesions. Advanced bronchoscopic navigation techniques are increasingly improving accurate tissue diagnosis and multiple bronchoscopic treatment modalities are currently under investigation. The desired one-step concept of bronchoscopic 'diagnose and treat' peripheral lung cancer is on the horizon.
Article
Oncology
Roland Goldbrunner, Pantelis Stavrinou, Michael D. Jenkinson, Felix Sahm, Christian Mawrin, Damien C. Weber, Matthias Preusser, Giuseppe Minniti, Morten Lund-Johansen, Florence Lefranc, Emanuel Houdart, Kita Sallabanda, Emilie Le Rhun, David Nieuwenhuizen, Ghazaleh Tabatabai, Riccardo Soffietti, Michael Weller
Summary: Meningiomas are common intracranial tumors with varied management approaches due to limited controlled clinical trials. Advances in molecular genetics have helped refine diagnostic and therapeutic approaches. Neuroimaging is typically used for provisional diagnosis, with surgery often required for definitive diagnosis according to WHO classification.
Article
Gastroenterology & Hepatology
Andreas Geier, Dina Tiniakos, Helmut Denk, Michael Trauner
Summary: Non-alcoholic fatty liver disease (NAFLD) has become the most common cause of chronic liver disease worldwide. Understanding its pathological and molecular hallmarks is crucial for appropriate clinical management and research. This disease has evolved from a nebulous entity in the 19th century to a vigorously investigated liver disease today.
Review
Health Care Sciences & Services
Vianney Gilard, Abdellah Tebani, Ivana Dabaj, Annie Laquerriere, Maxime Fontanilles, Stephane Derrey, Stephane Marret, Soumeya Bekri
Summary: Glioblastoma is the most common malignant brain tumor in adults, with current treatment options including surgery, radiotherapy, and chemotherapy. Despite advances in understanding the pathophysiology, challenges such as high relapse rates and short survival periods persist. Research in recent years has led to significant insights and new therapeutic approaches for glioblastoma.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Medical Laboratory Technology
Assogba Leopold Azakpa, Friar Florent Priuli, Essodina Ndayake, Eric Ganhouingnon, Irene Gonzalez-Rodilla, Meheza Parfait Tchaou, Tiziano Zanin
Summary: Telepathology has greatly improved cancer diagnosis in our hospital by utilizing a histopathology laboratory equipped with automated immunohistochemistry and whole-slide imaging. During the study period, resident laboratory technicians were trained to prepare microscopic and virtual slides for reading by telepathologists in Benin and Europe, leading to the diagnosis of 399 cancer patients out of 1593 analyzed surgical specimens.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2021)
Article
Pharmacology & Pharmacy
Reza Naeimi, Rezvan Najafi, Pejman Molaei, Razieh Amini, Stevan Pecic
Summary: Colorectal cancer is a challenging malignancy in terms of diagnosis and treatment. Conventional methods lack accuracy and standard treatments often have side effects and drug resistance. Nanoparticles have emerged as promising candidates for improving diagnosis and treatment by enhancing drug targeting and solubility.
EUROPEAN JOURNAL OF PHARMACOLOGY
(2022)
Review
Oncology
Xinru Zhou, Yin Jia, Chuanbin Mao, Shanrong Liu
Summary: Small extracellular vesicles (sEVs), such as exosomes, have emerged as crucial targets for liquid biopsy and promising drug delivery vehicles in tumor progression. They can serve as biomarkers for tumor diagnosis and as drug carriers for cancer treatment.
Article
Oncology
Ruochan Chen, Ju Zhu, Xiao Zhong, Jie Li, Rui Kang, Daolin Tang
Summary: The interplay between autophagy and apoptosis plays a crucial role in tumorigenesis and cancer therapy, with HMGB1 serving as a key regulator in these processes.
Article
Oncology
Zongfu Pan, Xixuan Lu, Tong Xu, Jinming Chen, Lisha Bao, Ying Li, Yingying Gong, Yulu Che, Xiaozhou Zou, Zhuo Tan, Ping Huang, Minghua Ge
Summary: This study uncovered the emerging role of HN1 in promoting dedifferentiation of anaplastic thyroid cancer (ATC) cells. HN1 negatively regulated the thyroid differentiation markers and had an inhibitory effect on the transcriptional activation of CTCF, thereby influencing the chromatin accessibility of thyroid differentiation genes.
Article
Oncology
Yi Qin, Shengjun Xiong, Jun Ren, Gautam Sethi
Summary: Autophagy plays an important regulatory role in glioblastoma, and its dysregulation can lead to drug resistance and radioresistance. It also affects stem cell characteristics, overall growth, and metastasis. Therefore, autophagy is a promising target for glioblastoma therapy.
Article
Oncology
Katsuya Nagaoka, Xuewei Bai, Dan Liu, Kevin Cao, Joud Mulla, Chengcheng Ji, Hongze Chen, Muhammad Azhar Nisar, Amalia Bay, William Mueller, Grace Hildebrand, Jin-Song Gao, Shaolei Lu, Hiroko Setoyama, Yasuhito Tanaka, Jack R. Wands, Chiung-Kuei Huang
Summary: This study found that serum 2-OG levels in cholangiocarcinoma patients are associated with the effectiveness of chemotherapy. Patients with progressive disease showed significantly higher levels of serum 2-OG compared to stable disease and partial response patients. The study also revealed that overexpression of ASPH mimics the effects of 2-OG, and knockdown of ASPH improves chemotherapy. Targeting ASPH enhances the effects of chemotherapy by modulating ATM and ATR, two key regulators of DDRs.
