Review
Medicine, Research & Experimental
Jiajing Sun, Sikai Wu, Zixian Jin, Sijia Ren, William C. Cho, Chengchu Zhu, Jianfei Shen
Summary: Lung cancer has high morbidity and mortality rates, with tumor metastasis being a significant risk factor for death. Even after complete removal of a tumor at an early stage, there is still a risk of recurrence. Lymph node micrometastasis has been found to be associated with poor prognosis, but predicting prognosis and choosing the appropriate surgical and postoperative adjuvant chemotherapy options remain challenging for clinicians.
BIOMEDICINE & PHARMACOTHERAPY
(2022)
Article
Surgery
Yukinori Sakao, Kenji Suzuki, Sadanori Takeo, Akihioro Hayashi, Masanori Tsuchida, Tatsuhiko Hirono, Yuichi Saito, Hideaki Miyamoto
Summary: This study aimed to discuss the underlying oncological issues in staging of mediastinal lymph node metastasis in patients with left lung cancer who underwent extended radical lymphadenectomy. The results showed that cN status and adjuvant chemotherapy were significant prognostic factors for left lung cancer with mediastinal lymph node metastasis, rather than pN status. These findings broaden the discussion of oncological issues in the staging of mediastinal lymph node metastasis of left lung cancer.
ASIAN JOURNAL OF SURGERY
(2022)
Article
Endocrinology & Metabolism
Yubo Sun, Wei Sun, Jingzhe Xiang, Hao Zhang
Summary: This study aimed to construct a nomogram that predicts central lymph node metastasis (CLNM) in T1-T2 papillary thyroid carcinoma (PTC) patients without lateral lymph node metastases (LLNM). The nomogram showed good accuracy and applicability in predicting CLNM in both internal and external validation.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Critical Care Medicine
Hyungjin Kim, Hyewon Choi, Kyung Hee Lee, Sukki Cho, Chang Min Park, Young Tae Kim, Jin Mo Goo
Summary: Three robust definitions for central lung cancer that are associated with occult nodal metastasis were identified, but selecting candidates for invasive mediastinal staging solely based on tumor location is suboptimal.
Article
Oncology
Yiming Qi, Shuangshuang Wu, Linghui Tao, Yunfu Shi, Wenjuan Yang, Lina Zhou, Bo Zhang, Jing Li
Summary: The newly constructed nomograms can accurately predict LNM and DM in patients suffering from T1-2 NSCLC, which may help clinicians make individual clinical decisions before clinical management.
FRONTIERS IN ONCOLOGY
(2021)
Article
Gastroenterology & Hepatology
Zhen Zong, Hui Li, Ce-Gui Hu, Fu-Xin Tang, Zhi-Yang Liu, Peng Deng, Tai-Cheng Zhou, Cheng-Hao Yi
Summary: The study found that 10.6% of T1 colorectal cancer patients had a risk of lymph-node metastasis, with younger age, female sex, Asian or African-American ethnicity, poor tumor differentiation, and tumor site outside the rectum being associated with a higher risk. Patients with rectal cancer had the lowest risk of lymph-node metastasis.
GASTROENTEROLOGY REPORT
(2021)
Article
Oncology
Pieter W. J. Lozekoot, Jean H. T. Daemen, Robert R. van den Broek, Jos G. Maessen, Michiel H. M. Gronenschild, Yvonne L. J. Vissers, Karel W. E. Hulsewe, Erik R. de Loos
Summary: VAMLA demonstrates superior sensitivity and negative predictive value in detecting N2 disease, offering a significant decrease in risk of unforeseen pN2, but is also associated with a higher risk of complications.
TRANSLATIONAL LUNG CANCER RESEARCH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
B. H. E. Jansen, Y. J. L. Bodar, G. J. C. Zwezerijnen, D. Meijer, J. P. van der Voorn, J. A. Nieuwenhuijzen, M. Wondergem, T. A. Roeleveld, R. Boellaard, O. S. Hoekstra, R. J. A. van Moorselaar, D. E. Oprea-Lager, A. N. Vis
Summary: The study found that F-18-DCFPyL PET/CT has high specificity but limited sensitivity for detecting pelvic lymph-node metastases in primary prostate cancer patients. Therefore, current PSMA PET/CT imaging cannot fully replace diagnostic ePLND. Further research is needed to determine the exact role of PSMA PET/CT imaging in the primary staging of prostate cancer.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Oncology
Xitao Wang, Wei Cheng, Xiaolin Dou, Fengbo Tan, Shipeng Yan, Zhongyi Zhou, Yuqiang Li, Biaoxiang Xu, Chongshun Liu, Heming Ge, Mengxiang Tian, Fangchun Liu, Liling Li, Sai Zhang, Qingling Li, Haiping Pei, Qian Pei
Summary: This study confirms the prognostic value of tumour deposit (TD) in stage III colon cancer and proposes a more accurate coN staging system integrating TD and lymph node metastasis (LNM) compared to the current N staging system. The study highlights the importance of considering not only the presence but also the number of TDs in predicting prognosis.
Article
Oncology
Junpeng Wu, Hao Wang, Xin Yin, Xibo Wang, Yufei Wang, Zhanfei Lu, Jiaqi Zhang, Yao Zhang, Yingwei Xue
Summary: This study examined a new hybrid lymph node staging system to enhance the predictive ability for patients with gastric cancer. The results showed that the new staging system outperformed the traditional pathological lymph node staging system in terms of prognostic performance.
Article
Oncology
Zaheer Ali, Malin Vildevall, Gabriela Vazquez Rodriguez, Decky Tandiono, Ioannis Vamvakaris, Georgios Evangelou, Georgios Lolas, Konstantinos N. Syrigos, Alberto Villanueva, Michael Wick, Shenga Omar, Anna Erkstam, Julia Schueler, Anna Fahlgren, Lasse D. Jensen
Summary: This study developed a zebrafish tumor xenograft (ZTX) platform that can accurately and quickly evaluate the treatment outcome and invasion/dissemination of tumors. The results showed that this platform has high clinical relevance and can predict lymph node involvement in patients.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
(2022)
Article
Automation & Control Systems
Guojie Hou, Liye Jia, Yanan Zhang, Wei Wu, Lin Zhao, Juanjuan Zhao, Long Wang, Yan Qiang
Summary: The determination of lymph node metastasis is critical to treatment options for non-small cell lung cancer. This research proposes a method for predicting lymph node metastasis by fusing imaging and genetic data, overcoming challenges in existing non-invasive prediction methods. Experimental results show that the proposed model performs well in predicting lymph node metastasis, providing a new method for non-invasive prediction.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Multidisciplinary Sciences
Xiaodong Wang, Ying Chen, Yunshu Gao, Huiqing Zhang, Zehui Guan, Zhou Dong, Yuxuan Zheng, Jiarui Jiang, Haoqing Yang, Liming Wang, Xianming Huang, Lirong Ai, Wenlong Yu, Hongwei Li, Changsheng Dong, Zhou Zhou, Xiyang Liu, Guanzhen Yu
Summary: The study proposes a deep-learning framework to analyze lymph node whole-slide images, identifying lymph nodes and tumor regions, and revealing the importance of the tumor-area-to-MLN-area ratio (T/MLN) in predicting the prognosis of gastric cancer patients.
NATURE COMMUNICATIONS
(2021)
Article
Oncology
Qian Liu, Meng Qiao, Zoltan Lohinai, Shiqi Mao, Yingying Pan, Yan Wang, Shuo Yang, Fei Zhou, Tao Jiang, Xianghua Yi, Shengxiang Ren, Caicun Zhou, Fred R. Hirsch
Summary: The study revealed that CCL19 is associated with lymph node metastasis and poor prognosis in SCLC patients, as its expression promotes tumor progression and metastasis while impairing the function of CD8 + T cells.
Article
Medicine, General & Internal
Lei Bi, Hong Zhang, Mingjian Ge, Zhongzhu Lv, Yiping Deng, Tenghao Rong, Chaolun Liu
Summary: The study investigated the necessity of dissecting intrapulmonary lymph nodes in peripheral non-small cell lung cancer and the metastatic pattern of the lymph nodes. The findings suggest that dissecting stations 13 and 14 may be helpful for identifying lymph node metastasis and accurately staging primary NSCLC.