scholarly journals Fibrosis in metastatic lymph nodes is clinically correlated to poor prognosis in colorectal cancer

Oncotarget ◽  
2018 ◽  
Vol 9 (51) ◽  
pp. 29574-29586 ◽  
Author(s):  
Daiji Ikuta ◽  
Toru Miyake ◽  
Tomoharu Shimizu ◽  
Hiromichi Sonoda ◽  
Ken-Ichi Mukaisho ◽  
...  
2014 ◽  
Vol 29 (1) ◽  
pp. e30-e39 ◽  
Author(s):  
Ariel Zwenger ◽  
Martin Rabassa ◽  
Sandra Demichelis ◽  
Gabriel Grossman ◽  
Amada Segal-Eiras ◽  
...  

Aim Colorectal cancer (CRC) is one of the most prevalent malignancies in Argentina with 11,043 new cases and 6,596 deaths estimated to have occurred in 2008. The present study was developed to clarify the differential expression of MUC1, MUC2, sLex, and sLea in colorectal cancer patients and their relationship with survival and clinical and histological features. Methods Ninety primary tumor samples and 43 metastatic lymph nodes from CRC patients were studied; follow-up was documented. Twenty-six adenoma and 68 histological normal mucosa specimens were analyzed. An immunohistochemical approach was applied and statistical analysis was performed. Results In tumor samples, MUC1, sLea, and sLex were highly expressed (94%, 67%, and 91%, respectively); also, we found a significantly increased expression of the 3 antigens in primary tumors and metastatic lymph nodes compared with normal mucosa and adenomas. MUC2 was expressed in 52% of both normal mucosa and CRC samples; this reactivity significantly decreased in metastatic lymph nodes (p<0.05). A multiple comparison analysis showed that MUC1 and sLex discriminated among 3 groups: normal, adenoma, and CRC tissues. The increase of sLex expression showed an association with recurrence, and survival analysis showed that a high sLex staining was significantly associated with a poor survival. By multivariate analysis MUC1 inmunoreactivity correlated positively and significantly with tumor size, while MUC2 expression showed the opposite correlation. Conclusions The correlation of sLex overexpression in primary tumors and metastatic lymph nodes, the discrimination among the normal, adenoma, and CRC groups based on sLex expression, as well as its association with recurrence and survival, all suggest a prognostic role of sLex in Argentinian CRC patients.


2013 ◽  
Vol 34 (10) ◽  
pp. 2314-2321 ◽  
Author(s):  
Bolag Altan ◽  
Takehiko Yokobori ◽  
Erito Mochiki ◽  
Tetsuro Ohno ◽  
Kyoichi Ogata ◽  
...  

2015 ◽  
Vol 31 (2) ◽  
pp. 283-290 ◽  
Author(s):  
Osamu Kinoshita ◽  
Mitsuo Kishimoto ◽  
Yasutoshi Murayama ◽  
Yoshiaki Kuriu ◽  
Masayoshi Nakanishi ◽  
...  

2020 ◽  
Author(s):  
Lin Qiu ◽  
Junjiao Hu ◽  
Zeping Weng ◽  
Fasheng Li ◽  
Fei Wang ◽  
...  

Abstract Background To explore the ability of Dual-energy CT (DECT) to differentiate metastatic from non-metastatic lymph nodes in colorectal cancer (CRC). Methods Seventy-one patients with primary CRC underwent contrast-enhanced DECT imaging before surgery. The colorectal specimen was scanned after surgery, and lymph nodes were matched to the pathology report. The DECT quantitative parameters were analyzed: dual-energy curve slope value(λHU), standardized iodine concentration (n△HU), iodine water ratio (nIWR), electron density value (nρeff), and effective atom-number (nZ), for the metastatic and non-metastatic lymph node differentiation. Also, sensitivity and specificity analyses were performed by using receiver operating characteristic curve. Results One hundred and fifty lymph nodes including 66 non-metastatic and 84 metastatic lymph nodes were matched using the radiological-pathological correlation. Metastatic node had a significantly greater λHU, n△HU and nIWR values than non-metastatic node in both arterial and venous phases (P < 0.01). The AUC, sensitivity and specificity were 0.80, 80.30% and 65.48% for λHU; 0.86, 69.70% and 95.24% for n△HU; 0.88, 71.21% and 95.24% for nIWR in the arterial phase. No significant difference was found in electron density and effective Z value for differentiation. Conclusion Dual-energy CT quantitative parameters may be helpful in diagnosing metastatic lymph nodes of CRC.


2020 ◽  
Author(s):  
Yanping Wang ◽  
Jikun Wang ◽  
Jinhao Liu ◽  
Zuoxiu Shi ◽  
Yanlei Chen ◽  
...  

Abstract Background: Lymph node metastasis is a major prognostic factor of colorectal cancer and an important indicator for individualized treatment. M2 macrophages play a key role in carcinogenesis and tumor development, not only enhancing invasiveness, but also promoting lymph node metastasis. The purpose of this study was to investigate the effect of CD163-positive M2 macrophages on lymph node metastasis in colorectal cancer.Methods: Postoperative lymph node tissues were obtained from 120 patients with colorectal cancer who underwent radical surgery in the First Affiliated Hospital of Jinzhou Medical University between December 2019 and May 2020. We detected the expression of the CD163 protein in lymph nodes by immunohistochemistry. Furthermore, the relationship between M2 macrophages identified by this marker and lymph node metastasis were analyzed using the independent sample T-test and Chi-square test.Results: M2 macrophages were increased not only in metastatic lymph nodes, but also in non-metastatic lymph nodes adjacent to the cancer. The M2 macrophage count was higher in patients with macro-metastases than in those with micro-metastases.Conclusions: M2 macrophages represent an important factor for the promotion of lymph node metastasis in colorectal cancer, and may be a potential marker for its prediction. This may offer a new target for the comprehensive treatment of colorectal cancer.


2014 ◽  
Vol 210 (9) ◽  
pp. 576-581 ◽  
Author(s):  
Anna Sadowska ◽  
Halina Car ◽  
Anna Pryczynicz ◽  
Katarzyna Guzińska-Ustymowicz ◽  
Krzysztof Wojciech Kowal ◽  
...  

2013 ◽  
Vol 37 (5) ◽  
pp. 1094-1102 ◽  
Author(s):  
Li-Ping Wang ◽  
Hong-Yan Wang ◽  
Rui Cao ◽  
Cong Zhu ◽  
Xiong-Zhi Wu

2001 ◽  
Vol 44 (12) ◽  
pp. 1838-1844 ◽  
Author(s):  
Ko Komuta ◽  
Sadayuki Okudaira ◽  
Masashi Haraguchi ◽  
Junichiro Furui ◽  
Takashi Kanematsu

2018 ◽  
Vol 8 ◽  
Author(s):  
Chi-Hao Zhang ◽  
Yan-Yan Li ◽  
Qing-Wei Zhang ◽  
Alberto Biondi ◽  
Valeria Fico ◽  
...  

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