Literature DB >> 21427101

Lymph node correlations and thresholds in colorectal cancer specimens.

Jatinder S Minhas1, Laszlo Igali.   

Abstract

Lymph node yield is a key factor in enabling the accurate determination of prognosis in colorectal cancer patients. The Royal College of Pathologists guidelines state a "minimum" recommended mean number of 12 lymph nodes. In this study of 391 patients, the authors aim to determine the optimal node counts in patients with colorectal cancer, examine for correlations between maximum tumor diameter and lymph node yield, and examine for correlations between lymph node yield and involved node numbers. Furthermore, the authors aim to examine the impact of specimen type on the harvested node numbers and assess whether the personal differences between surgeons and pathologists have significant influence on node yield. A moderate positive correlation between maximum tumor diameter and final lymph node yield was noted (Spearman's correlation coefficient = .328, P = .0001). There was significant variation shown by pathologists (Kruskal-Wallis test P = .001) and by differing specimen type (Kruskal-Wallis test P = .029) on the lymph node yield.

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Year:  2011        PMID: 21427101     DOI: 10.1177/1066896911399280

Source DB:  PubMed          Journal:  Int J Surg Pathol        ISSN: 1066-8969            Impact factor:   1.271


  3 in total

1.  Adequate lymph node recovery improves survival in colorectal cancer patients.

Authors:  Adedayo A Onitilo; Rachel V Stankowski; Jessica M Engel; Suhail A R Doi
Journal:  J Surg Oncol       Date:  2013-04-16       Impact factor: 3.454

Review 2.  Stage migration vs immunology: The lymph node count story in colon cancer.

Authors:  Bruno Märkl
Journal:  World J Gastroenterol       Date:  2015-11-21       Impact factor: 5.742

3.  Increased lymph node yield in colorectal cancer is not necessarily associated with a greater number of lymph node positive cancers.

Authors:  Aisling O'Shea; Omar Aly; Craig N Parnaby; Malcolm A Loudon; Leslie M Samuel; Graeme I Murray
Journal:  PLoS One       Date:  2014-08-13       Impact factor: 3.240

  3 in total

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