Article
Oncology
Gaoyan Yao, Yi Fang, Yangbo Fu, Jinghong Xu, Haojun Song, Hangqin Zhu, Mengli Gu, Xiaoyun Ding
Summary: Tumor budding is associated with tumor size, tumor histologic differentiation, depth of invasion, lymph node metastasis, lympho-vascular invasion, and early recurrence of early gastric cancer. High-grade tumor budding, especially, can predict lymph node metastasis in early gastric cancer and may be an important parameter for evaluating the prognosis of patients with early gastric cancer.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Oncology
Kwangil Yim, Won Mo Jang, Sung Hak Lee
Summary: The study demonstrates that modified tumor budding (mTB) is a more accurate predictor of lymph node metastasis (LNM) in early gastric cancer patients compared to conventional tumor budding (TB). It enhances the predictive power of LNM, providing important information for patient treatment.
Article
Oncology
Jeong-ki Kim, Ye-Young Rhee, Jeong Mo Bae, Jung Ho Kim, Seong-Joon Koh, Hyun Jung Lee, Jong Pil Im, Min Jung Kim, Seung-Bum Ryoo, Seung-Yong Jeong, Kyu Joo Park, Ji Won Park, Gyeong Hoon Kang
Summary: The optimal tumor budding cut-off number for estimating LN metastasis in submucosal CRC was determined and a composite scoring system (CSS) was developed.
Article
Oncology
Yoon Jung Oh, Deok Hee Kim, Won Ho Han, Bang Wool Eom, Young Il Kim, Hong Man Yoon, Jong Yeul Lee, Chan Gyoo Kim, Myeong-Cherl Kook, Il Ju Choi, Young-Woo Kim, Keun Won Ryu
Summary: In early gastric cancer (EGC) patients without lymphatic invasion (LI), tumor size larger than 3 cm, submucosal invasion, and undifferentiated histologic type were significant risk factors for lymph node metastasis (LNM). The expanded criteria for endoscopic resection (ER) may be tolerable in cases without LI, even though there is a minimal risk of LNM.
Article
Medicine, General & Internal
Lei Chen, Funing Yang, Zhaoyan Qi, Jiandong Tai
Summary: Tumor budding (TB), a powerful predictor of colorectal cancer (CRC), was studied to develop a prediction model for lymph node metastasis (LNM) and local recurrence in pT1 CRC patients. Independent predictors for LNM and recurrence were identified and used to construct predictive nomograms for treatment decision-making. The models showed potential clinical application value and postoperative chemotherapy was associated with better outcomes in high-risk patients.
FRONTIERS IN MEDICINE
(2022)
Article
Oncology
Xin Zhang, Dejun Yang, Ziran Wei, Ronglin Yan, Zhengwei Zhang, Hejing Huang, Weijun Wang
Summary: This study aimed to develop a predictive model to quantify the probability of lymph node metastasis (LNM) in early gastric cancer (EGC) to help minimize invasive procedures. The results showed that gender, fecal occult blood test, CEA, CA19-9, histologic differentiation grade, lymphovascular invasion, depth of infiltration, and Ki67 labeling index were independent prognostic factors for LNM. The nomogram had good discriminatory performance and could help identify low-risk patients who would benefit from avoiding unnecessary gastrectomy.
FRONTIERS IN ONCOLOGY
(2022)
Article
Cell Biology
Yu Mei, Shuo Wang, Tienan Feng, Min Yan, Fei Yuan, Zhenggang Zhu, Tian Li, Zhenglun Zhu
Summary: The study established a nomogram for predicting lymph node metastasis in early gastric cancer, with age, tumor size, submucosal invasion, histological subtype, and HER2 positivity identified as independent risk factors. The model showed good performance in both internal and external validation, with the prediction model providing a higher net benefit for guiding treatment.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Cell Biology
Xinying Guo, Jie Gu, Anwei Xue, Shushu Song, Bo Liu, Xiaodong Gao, Jianxin Gu, Lei Chang, Yuanyuan Ruan
Summary: Endoscopic surgery is commonly used for EGC treatment, but LNM remains a significant risk factor for relapse. The study found that GNE expression is down-regulated in EGC patients with LNM. Combining GNE expression with other predictive factors can improve the accuracy of LNM prediction in EGC patients.
Article
Surgery
Feng Sun, Song Zhang, Xingzhou Wang, Ming Yao, Chen Zhang, Zhijian Liu, Shichao Ai, Wenxian Guan, Meng Wang
Summary: The study found that there is a correlation between mixed histologic type and lymph node metastasis in early gastric cancer, especially in submucosal invasive gastric cancer. Mixed histologic type may be an independent risk factor for lymph node metastasis in submucosal invasive gastric cancer. Therefore, curative resection with lymphadenectomy should be considered as the appropriate treatment for submucosal invasive gastric cancer with mixed histologic type.
JOURNAL OF SURGICAL RESEARCH
(2023)
Article
Surgery
Rosemary Nustas, Ahmed A. Messallam, Theresa Gillespie, Steven Keilin, Saurabh Chawla, Vaishali Patel, Qiang Cai, Field F. Willingham
Summary: In a large national cohort in the US, factors such as lymphovascular invasion, high-grade histology, T stage, and tumor size were independently associated with lymph node metastasis in early gastric adenocarcinoma. Patients with low-grade tumors, smaller than 3 cm, and without lymphovascular invasion had a very low risk of nodal involvement, suggesting they may be considered for endoscopic resection.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
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
Yutaro Higashi, Kodai Nakamura, Ryota Takaoka, Mika Tani, Yusaku Noma, Kazuki Mori, Kota Yamashiro, Seiya Yokoyama, Tomofumi Hamada, Tsuyoshi Sugiura
Summary: Currently, there is a lack of established biomarkers for oral squamous cell carcinoma (OSCC) and imaging studies are relied upon for detecting neck lymph node metastases. This study discovered that serum microRNAs were more accurate at diagnosing primary and late neck lymph node metastases compared to serum squamous cell carcinoma antigens or pathological factors. Detection of microRNAs in OSCC patients using real-time PCR showed high diagnostic and predictive accuracy for neck lymph node metastases. The use of microRNAs can assist in personalized treatment, including follow-up, surgical methods, and postoperative management.
Article
Gastroenterology & Hepatology
Yosuke Tsuji, Tetsuo Ushiku, Tomohiro Shinozaki, Hiroharu Yamashita, Yasuyuki Seto, Masashi Fukayama, Mitsuhiro Fujishiro, Ichiro Oda, Hitoshi Katai, Hirokazu Taniguchi, Kenkei Hasatani, Yasuharu Kaizaki, Atsunori Oga, Jun Nishikawa, Risaburo Akasaka, Masaki Endo, Tamotsu Sugai, Takayuki Matsumoto, Kazuhiko Koike
Summary: Our study identified lymphatic invasion and submucosal invasion >= 4000 μm as significant risk factors for lymph node metastasis in pT1b-EBVGC. For pT1b-EBVGC cases without lymphatic invasion and with submucosal invasion <2000 μm, endoscopic submucosal dissection could be a suitable option.
DIGESTIVE ENDOSCOPY
(2021)
Article
Oncology
Xiaoliang Jin, Wei Wu, Jing Zhao, Shuang Song, Chunli Zhang, Wenyong Sun, Bin Lv
Summary: Recent studies have shown that the prognosis of signet ring cell carcinoma (SRCC) is related to staging. In early cases, SRCC had a similar lymph node metastasis (LNM) rate to differentiated gastric carcinoma (DC) but significantly lower than undifferentiated carcinoma (UDC). Tumor size, infiltration depth, pathological type, and mixed type were identified as risk factors for LNM in early cases.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Qiuyuan Huang, Suyu Li, Xiaoying Chen, Xiaohong Liu, Guangrun Zhou, Liyuan Huang, Xiaoyan Li, Kaiwu Lin, Xiangqin Zheng
Summary: The aim of this study was to construct a preoperative model predicting lymph node metastasis (LNM) in IB1-IIA2 stage cervical squamous cell cancer (CSCC) based on hematological indexes. The model demonstrated good discrimination and calibration, and can assist physicians in assessing the risk of LNM in preoperative patients.