16. Apical lymph node metastasis and survival in resected colorectal cancer

Pathology ◽  
2015 ◽  
Vol 47 ◽  
pp. S105
Author(s):  
Nav Gill ◽  
Christopher W. Toon ◽  
Nicole Watson ◽  
Anthony J. Gill
2021 ◽  
Author(s):  
Tamotsu Sugai ◽  
Noriyuki Yamada ◽  
Mitsumasa Osakabe ◽  
Mai Hashimoto ◽  
Noriyuki Uesugi ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 126
Author(s):  
Noshad Peyravian ◽  
Stefania Nobili ◽  
Zahra Pezeshkian ◽  
Meysam Olfatifar ◽  
Afshin Moradi ◽  
...  

This study aimed at building a prognostic signature based on a candidate gene panel whose expression may be associated with lymph node metastasis (LNM), thus potentially able to predict colorectal cancer (CRC) progression and patient survival. The mRNA expression levels of 20 candidate genes were evaluated by RT-qPCR in cancer and normal mucosa formalin-fixed paraffin-embedded (FFPE) tissues of CRC patients. Receiver operating characteristic curves were used to evaluate the prognosis performance of our model by calculating the area under the curve (AUC) values corresponding to stage and metastasis. A total of 100 FFPE primary tumor tissues from stage I–IV CRC patients were collected and analyzed. Among the 20 candidate genes we studied, only the expression levels of VANGL1 significantly varied between patients with and without LNMs (p = 0.02). Additionally, the AUC value of the 20-gene panel was found to have the highest predictive performance (i.e., AUC = 79.84%) for LNMs compared with that of two subpanels including 5 and 10 genes. According to our results, VANGL1 gene expression levels are able to estimate LNMs in different stages of CRC. After a proper validation in a wider case series, the evaluation of VANGL1 gene expression and that of the 20-gene panel signature could help in the future in the prediction of CRC progression.


2006 ◽  
Vol 63 (5) ◽  
pp. AB216 ◽  
Author(s):  
Hitoshi Yamauchi ◽  
Kazutomo Togashi ◽  
Hiroshi Kawamura ◽  
Junichi Sasaki ◽  
Masaki Okada ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Naohisa Yoshida ◽  
Masayoshi Nakanishi ◽  
Ken Inoue ◽  
Ritsu Yasuda ◽  
Ryohei Hirose ◽  
...  

Background and Aims. Various risk factors for lymph node metastasis (LNM) have been reported in colorectal T1 cancers. However, the factors available are insufficient for predicting LNM. We therefore investigated the utility of the new histological factor “pure well-differentiated adenocarcinoma” (PWDA) as a safe factor for predicting LNM in T1 and T2 cancers. Materials and Methods. We reviewed 115 T2 cancers and 202 T1 cancers in patients who underwent surgical resection in our center. We investigated the rates of LNM among various clinicopathological factors, including PWDA. PWDA was defined as a lesion comprising only well-differentiated adenocarcinoma. The consistency of the diagnosis of PWDA was evaluated among two pathologists. In addition, 72 T1 cancers with LNM from 8 related hospitals over 10 years (2008–2017) were also analyzed. Results. The rates of LNM and PWDA were 23.5% and 20.0%, respectively, in T2 cancers. Significant differences were noted between patients with and without LNM regarding lymphatic invasion (81.5% vs. 36.4%, p<0.001), poor histology (51.9% vs. 19.3%, p=0.008), and PWDA (3.7% vs. 25.0%, p=0.015). The rates of LNM and PWDA were 8.4% and 36.1%, respectively, in T1 cancers. Regarding the 73 PWDA cases and 129 non-PWDA cases, the rates of LNM were 0.0% and 13.2%, respectively (p<0.001). Among the 97 cases with lymphatic or venous invasion, the rates of LNM in 29 PWDA cases and 68 non-PWDA were 0% and 14.7%, respectively (p=0.029). The agreement of the two pathologists for the diagnosis of PWDA was acceptable (kappa value > 0.5). A multicenter review showed no cases of PWDA among 72 T1 cancers with LNM. Conclusions. PWDA is considered to be a safe factor for LNM in T1 cancer.


2017 ◽  
Vol 13 (6) ◽  
pp. 4327-4333 ◽  
Author(s):  
Tomonari Cho ◽  
Eisuke Shiozawa ◽  
Fumihiko Urushibara ◽  
Nana Arai ◽  
Toshitaka Funaki ◽  
...  

Medicine ◽  
2020 ◽  
Vol 99 (21) ◽  
pp. e20238
Author(s):  
Zeying Guo ◽  
Ziru Yang ◽  
Dan Li ◽  
Jinlong Tang ◽  
Jinghong Xu ◽  
...  

2018 ◽  
Vol 12 (4) ◽  
pp. 417-422 ◽  
Author(s):  
Seiichiro Yamamoto ◽  
Toshio Kanai ◽  
Kikuo Yo ◽  
Kumiko Hongo ◽  
Kiminori Takano ◽  
...  

Author(s):  
Takuzo Hashimoto ◽  
Michio Itabashi ◽  
Shinpei Ogawa ◽  
Tomoichiro Hirosawa ◽  
Yoshiko Bamba ◽  
...  

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