Literature DB >> 29496097

Lymph Node Metastasis in Colorectal Cancer.

Ming Jin1, Wendy L Frankel2.   

Abstract

Pathologic examination of lymph nodes in patients with cancer remains crucial for postoperative treatment and prognosis prediction. In this article, the authors aim to review several important and challenging issues regarding lymph node metastasis in colorectal cancer using the AJCC staging manual, College of American Pathologists cancer protocol, as well as the literature. These topics include lymph node staging, the definition and controversies in tumor deposits, isolated tumor cells in lymph node and micrometastasis, lymph node ratio as a prognostic stratification factor, and neoadjuvant treatment effect in rectal cancer. Updates from the most recent AJCC 8th edition are included.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Colon cancer; Lymph node ratio; Metastatic lymph node; Micrometastasis; Neoadjuvant treatment effect; Rectal cancer; Staging; Tumor deposit

Mesh:

Year:  2017        PMID: 29496097     DOI: 10.1016/j.soc.2017.11.011

Source DB:  PubMed          Journal:  Surg Oncol Clin N Am        ISSN: 1055-3207            Impact factor:   3.495


  33 in total

1.  High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer.

Authors:  Yan-Song Yang; Feng Feng; Yong-Juan Qiu; Gui-Hua Zheng; Ya-Qiong Ge; Yue-Tao Wang
Journal:  Abdom Radiol (NY)       Date:  2020-09-17

Review 2.  Challenging the conventional treatment of colon cancer by sentinel lymph node mapping and its role of detecting micrometastases for adjuvant chemotherapy.

Authors:  Sukamal Saha; Mohamed Elgamal; Meghan Cherry; Robin Buttar; Swetha Pentapati; Suresh Mukkamala; Kiran Devisetty; Sunil Kaushal; Mustafa Alnounou; Trevor Singh; Sandeep Grewal; David Eilender; Madan Arora; David Wiese
Journal:  Clin Exp Metastasis       Date:  2018-08-16       Impact factor: 5.150

Review 3.  Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.

Authors:  Mustafa Bektaş; Jurriaan B Tuynman; Jaime Costa Pereira; George L Burchell; Donald L van der Peet
Journal:  World J Surg       Date:  2022-09-15       Impact factor: 3.282

4.  Polo-like kinase 4 is associated with advanced TNM stages and reduced survival and its inhibition improves chemosensitivity in colorectal cancer.

Authors:  Zhengang Duan; Lei Cai; Jin Cao; Wei Wu
Journal:  Oncol Lett       Date:  2022-06-20       Impact factor: 3.111

5.  Lymphocytes in tumor-draining lymph nodes co-cultured with autologous tumor cells for adoptive cell therapy.

Authors:  Kazumi Okamura; Satoshi Nagayama; Tomohiro Tate; Hiu Ting Chan; Kazuma Kiyotani; Yusuke Nakamura
Journal:  J Transl Med       Date:  2022-05-23       Impact factor: 8.440

6.  Over-expression of Nav1.6 channels is associated with lymph node metastases in colorectal cancer.

Authors:  Shuiquan Lin; Yangbo Lv; Jianguang Xu; Xinglong Mao; Zhenhong Chen; Wuguang Lu
Journal:  World J Surg Oncol       Date:  2019-10-31       Impact factor: 2.754

7.  Development and validation of a collagen signature-based nomogram for preoperatively predicting lymph node metastasis and prognosis in colorectal cancer.

Authors:  Meiting Fu; Dexin Chen; Fuzheng Luo; Guangxing Wang; Shuoyu Xu; Yadong Wang; Caihong Sun; Xueqin Xu; Aimin Li; Shuangmu Zhuo; Side Liu; Jun Yan
Journal:  Ann Transl Med       Date:  2021-04

8.  The long non-coding RNA T cell leukemia homeobox 1 neighbor enhances signal transducer and activator of transcription 5A phosphorylation to promote colon cancer cell invasion, migration, and metastasis.

Authors:  Guanyang Chen; Dongbo Lian; Lei Zhao; Zheng Wang; Qiqige Wuyun; Nengwei Zhang
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

9.  miR-582-5p inhibits migration and chemo-resistant capabilities of colorectal cancer cells by targeting TNKS2.

Authors:  Weixing Xiao; Haijun Zhou; Bingrong Chen; Bin Shen; Jun Zhou
Journal:  Genes Genomics       Date:  2021-08-06       Impact factor: 1.839

10.  Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.

Authors:  Chunli Li; Jiandong Yin
Journal:  Front Oncol       Date:  2021-05-10       Impact factor: 6.244

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