Kyueng-Whan Min1, Dong-Hoon Kim2, Byoung Kwan Son3, Eun-Kyung Kim4, Sang Bong Ahn5, Seong Hwan Kim5, Yun Ju Jo5, Young Sook Park5, Jinwon Seo6, Young Ha Oh1, Sukjoong Oh7, Ho Young Kim8, Mi Jung Kwon6, Soo Kee Min6, Hye-Rim Park6, Ji-Young Choe6, Jang Yong Jeon9, Hong Il Ha10, Jung Woo Lee9. 1. Department of Pathology, Hanyang University Guri Hospital, Hanyang University College of Medicine, 153, Gyeongchun-ro, Guri, Gyeonggi-do, 11923, Republic of Korea. 2. Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-Gu, Seoul, 03181, Republic of Korea. 3. Department of Internal Medicine, Eulji General Hospital, Eulji University School of Medicine, 68 Hangeulbiseok-ro, Nowon-gu, Seoul, 01830, Republic of Korea. sbk1026@eulji.ac.kr. 4. Department of Pathology, Eulji General Hospital, Eulji University School of Medicine, Seoul, Republic of Korea. 5. Department of Internal Medicine, Eulji General Hospital, Eulji University School of Medicine, 68 Hangeulbiseok-ro, Nowon-gu, Seoul, 01830, Republic of Korea. 6. Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea. 7. Department Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 8. Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea. 9. Department of Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea. 10. Department of Radiology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea.
Abstract
BACKGROUND: AJCC staging system is unreliable for predicting survival in distal bile duct (DBD) cancer patients, due to inter-observer variation. Measured depth of invasion (DOI) is suggested to be more accurate to predict patients' clinical outcome in extra-hepatic cholangiocarcinomas, but its significance in DBD cancer and cutoff values are still debatable. This study aimed to identify the optimal cutoff value of DOI in relation to prognosis in DBD cancer patients. METHODS: Data of 179 patients with DBD adenocarcinoma treated in three institutions were investigated. Under microscopic review, DOI was measured. The relationships between the clinicopathological parameters and the groups based on DOI (≤3; 3-10; >10 mm) were evaluated, and the survival times of each group based on DOI and T classification were compared. RESULTS: Deeply invading tumors exhibited a greater tendency toward the infiltrative type, high histological grade, AJCC stage, and pancreatic, duodenal, lymphovascular and perineural invasion. The measured DOI was significantly correlated with worse relapse-free and overall survival (all p < 0.05). In multivariate analyses, the DOI remained as one of the prognostic factors (all p < 0.05), while T classification was not a significant prognostic factor. The new prognostic models (low, intermediate, and high risk) that applied DOI and nodal metastasis showed significant difference in recurrence and survival rate (all p < 0.05). CONCLUSIONS: On the basis of the proposed cutoff value, the DOI could be clear and meaningful, overcoming the vagueness of the T classification for predicting clinical outcomes in patients with DBD carcinoma.
BACKGROUND: AJCC staging system is unreliable for predicting survival in distal bile duct (DBD) cancerpatients, due to inter-observer variation. Measured depth of invasion (DOI) is suggested to be more accurate to predict patients' clinical outcome in extra-hepatic cholangiocarcinomas, but its significance in DBD cancer and cutoff values are still debatable. This study aimed to identify the optimal cutoff value of DOI in relation to prognosis in DBD cancerpatients. METHODS: Data of 179 patients with DBD adenocarcinoma treated in three institutions were investigated. Under microscopic review, DOI was measured. The relationships between the clinicopathological parameters and the groups based on DOI (≤3; 3-10; >10 mm) were evaluated, and the survival times of each group based on DOI and T classification were compared. RESULTS: Deeply invading tumors exhibited a greater tendency toward the infiltrative type, high histological grade, AJCC stage, and pancreatic, duodenal, lymphovascular and perineural invasion. The measured DOI was significantly correlated with worse relapse-free and overall survival (all p < 0.05). In multivariate analyses, the DOI remained as one of the prognostic factors (all p < 0.05), while T classification was not a significant prognostic factor. The new prognostic models (low, intermediate, and high risk) that applied DOI and nodal metastasis showed significant difference in recurrence and survival rate (all p < 0.05). CONCLUSIONS: On the basis of the proposed cutoff value, the DOI could be clear and meaningful, overcoming the vagueness of the T classification for predicting clinical outcomes in patients with DBD carcinoma.
Authors: Seung-Mo Hong; Alison E Presley; Edward B Stelow; Henry F Frierson; Christopher A Moskaluk Journal: Am J Surg Pathol Date: 2006-06 Impact factor: 6.394
Authors: Loes C G van den Einden; Leon F A G Massuger; Johanna K Jonkman; Peter Bult; Joanne A de Hullu; Johan Bulten Journal: Mod Pathol Date: 2014-09-05 Impact factor: 7.842
Authors: Shabnam Zarei; Igor Frank; Stephen A Boorjian; R Houston Thompson; Simon Kim; Christopher Weight; Robert Tarrell; Prabin Thapa; John C Cheville Journal: J Urol Date: 2012-09-19 Impact factor: 7.450
Authors: Emmanuel E Zervos; Dana Osborne; Steven B Goldin; Desiree V Villadolid; Donald P Thometz; Alan Durkin; Larry C Carey; Alexander S Rosemurgy Journal: Am J Surg Date: 2005-11 Impact factor: 2.565
Authors: Michelle L DeOliveira; Steven C Cunningham; John L Cameron; Farin Kamangar; Jordan M Winter; Keith D Lillemoe; Michael A Choti; Charles J Yeo; Richard D Schulick Journal: Ann Surg Date: 2007-05 Impact factor: 12.969
Authors: Balaji Rengarajan; Wei Wu; Crystal Wiedner; Daijin Ko; Satish C Muluk; Mark K Eskandari; Prahlad G Menon; Ender A Finol Journal: Ann Biomed Eng Date: 2020-01-24 Impact factor: 3.934