BACKGROUND: Novel risk factors for lymph node metastasis (LNM) in T1 colorectal cancer (CRC) have been recently proposed, but most have not been implemented because of the lack of validation. Here we determined the value of poorly differentiated clusters (PDCs) in a multi-institutional cohort of T1 CRC cases. METHODS: A pathology review involving 30 institutions was conducted for 3556 T1 CRCs. PDC was defined as malignant clusters comprising ≥5 cells and lacking a glandular formation. The ability to identify LNM risk was compared using Akaike's information criterion (AIC). RESULTS: PDC was observed in 1401 tumors (39.4 %), including 94 (17.8 %) with <1000 µm submucosal invasion and 1307 (43.2 %) with ≥1000 µm submucosal invasion (P < 0.0001). The incidence of LNM was higher in PDC-positive tumors (17.4 %) than in PDC-negative tumors (6.9 %; P < 0.0001), and PDCs had an adverse impact on LNM irrespective of the degree of submucosal invasion. Grade 3, vascular invasion, budding, and submucosal invasion depth were also significant factors (all, P < 0.0001). AIC of risk factor to identify LNM risk was most favorable for vascular invasion (2273.4), followed by PDC (2357.4); submucosal invasion depth (2429.1) was the most unfavorable. Interinstitutional judgment disparities were smaller in PDC (kappa, 0.51) than vascular invasion (0.33) or tumor grade (0.48). CONCLUSIONS: PDC is a promising new parameter with good ability to identify LNM risk. Use of its appropriate judgment criteria will enable us determine whether an observational policy can be safely applied following local tumor excision in T1 CRC cases.
BACKGROUND: Novel risk factors for lymph node metastasis (LNM) in T1 colorectal cancer (CRC) have been recently proposed, but most have not been implemented because of the lack of validation. Here we determined the value of poorly differentiated clusters (PDCs) in a multi-institutional cohort of T1 CRC cases. METHODS: A pathology review involving 30 institutions was conducted for 3556 T1 CRCs. PDC was defined as malignant clusters comprising ≥5 cells and lacking a glandular formation. The ability to identify LNM risk was compared using Akaike's information criterion (AIC). RESULTS: PDC was observed in 1401 tumors (39.4 %), including 94 (17.8 %) with <1000 µm submucosal invasion and 1307 (43.2 %) with ≥1000 µm submucosal invasion (P < 0.0001). The incidence of LNM was higher in PDC-positive tumors (17.4 %) than in PDC-negative tumors (6.9 %; P < 0.0001), and PDCs had an adverse impact on LNM irrespective of the degree of submucosal invasion. Grade 3, vascular invasion, budding, and submucosal invasion depth were also significant factors (all, P < 0.0001). AIC of risk factor to identify LNM risk was most favorable for vascular invasion (2273.4), followed by PDC (2357.4); submucosal invasion depth (2429.1) was the most unfavorable. Interinstitutional judgment disparities were smaller in PDC (kappa, 0.51) than vascular invasion (0.33) or tumor grade (0.48). CONCLUSIONS: PDC is a promising new parameter with good ability to identify LNM risk. Use of its appropriate judgment criteria will enable us determine whether an observational policy can be safely applied following local tumor excision in T1 CRC cases.
Authors: Reetesh K Pai; Yu-Wei Cheng; Maureen A Jakubowski; Bonnie L Shadrach; Thomas P Plesec; Rish K Pai Journal: Mod Pathol Date: 2016-10-07 Impact factor: 7.842
Authors: J W A Leijtens; L J H Smits; T W A Koedam; R G Orsini; S M van Aalten; M Verseveld; P G Doornebosch; E J R de Graaf; J B Tuynman Journal: Tech Coloproctol Date: 2022-08-27 Impact factor: 3.699
Authors: Chan Hyuk Park; Dong-Hoon Yang; Jong Wook Kim; Jie-Hyun Kim; Ji Hyun Kim; Yang Won Min; Si Hyung Lee; Jung Ho Bae; Hyunsoo Chung; Kee Don Choi; Jun Chul Park; Hyuk Lee; Min-Seob Kwak; Bun Kim; Hyun Jung Lee; Hye Seung Lee; Miyoung Choi; Dong-Ah Park; Jong Yeul Lee; Jeong-Sik Byeon; Chan Guk Park; Joo Young Cho; Soo Teik Lee; Hoon Jai Chun Journal: Intest Res Date: 2020-10-13