Prognostic value of apical lymph node metastasis at the inferior mesenteric artery in sigmoid and rectal cancer patients who undergo laparoscopic surgery

Author(s):  
Xuan Zhao ◽  
Junjun Ma ◽  
Zhanwei Fu ◽  
Hiju Hong ◽  
Luyang Zhang ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongyi Hou ◽  
Yibo Dai ◽  
Sichen Liang ◽  
Zhiqi Wang ◽  
Jianliu Wang

Background and Objective. Sentinel lymph node (SLN) biopsy efficiency has been confirmed in various solid tumors. This study aimed to assess SLN biopsy feasibility in clinical application and explore how to improve its detection rates and diagnostic accuracy in cervical cancer laparoscopic surgery. Methods. A total of 100 cervical cancer patients undergoing laparoscopic surgery with SLN biopsy were included. Indocyanine green, carbon nanoparticles (CNPs), and a combination of both were used during surgeries. Detection rates, sensitivity, negative predictive value (NPV) of SLN biopsy, and related factors were analyzed. Results. The overall and bilateral SLN detection rates were 92% (92/100) and 74% (74/100), respectively. Combined tracers had higher bilateral SLN detection rates than CNPs alone ( p = 0.005 ). Menopause and lymph node metastasis were associated with lower overall and bilateral SLN detection rates ( p < 0.05 ). SLN biopsy sensitivity and NPV for lymph node metastasis in patients with at least one detected SLN were 81.8% (9/11) and 97.3% (72/74), respectively. Among those with bilateral detected SLNs, higher sensitivity and NPV of 87.5% (7/8) and 98.3% (57/58) were observed, respectively. SLN algorithm can ensure that all patients with lymph node metastasis are detected by SLN biopsy. Conclusion. SLN biopsy appears to be safe and effective for specific cervical cancer patients with high detection rates and NPV in laparoscopic surgery, especially for those with detected bilateral SLNs and undergoing the SLN algorithm. Selecting suitable patients for SLN mapping has prospects for clinical application.


2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Lin Tan ◽  
Ling Sha ◽  
Ning Hou ◽  
Mei Zhang ◽  
Qian Ma ◽  
...  

Abstract Objectives: The present study investigated the correlation between α B-crystallin (CRYAB, HSPB5) and p53 expression in ovarian cancer and further analyzed the relationship between their expression and clinicopathology and the prognostic value of their co-expression in ovarian cancer. Methods: CRYAB and p53 expression was assessed using immunohistochemistry on ovarian cancer tumor tissues from 103 cases and validated in an independent group of 103 ovarian cancer patients. Results: High CRYAB and p53 expression rates in ovarian cancer tissues were 61.17% (63/103) and 57.28% (59/103), respectively, and their expression was positively correlated (r = 0.525, P=0.000). High CRYAB expression was significantly correlated with tumor size (P=0.028), lymph node metastasis (P=0.000), distant metastasis (P=0.005), tumor node metastasis (TNM) stage (P=0.002), and survival (P=0.000), while high p53 expression was significantly correlated with tumor size (P=0.006), pathological grade (P=0.023), lymph node metastasis (P=0.001), and survival (P=0.000). Further studies found that the high CRYAB and p53 co-expression was also significantly correlated with pathological grade (P=0.024), lymph node metastasis (P=0.000), Distant metastasis (P=0.015), TNM stage (P=0.013), and survival (P=0.000). High expression of either CRYAB or p53 and high co-expression of CRYAB and p53 were significantly correlated with poor disease-free survival (DFS) and overall survival (OS), respectively (P<0.05). Patients with high CRYAB and p53 co-expression had the worst prognoses among the groups. In addition, multivariate Cox regression models showed that high expression of either CRYAB or p53 and high co-expression of CRYAB and p53 were independent prognostic factors for DFS and OS (P<0.05). Moreover, the positive correlation and prognostic value of CRYAB and p53 expression were verified in another independent dataset. Conclusions: We demonstrated that patients with high CRYAB and p53 co-expression in ovarian cancer have significantly increased risks of recurrence, metastasis, and death compared with other patients. Therefore, more frequent follow-up of patients with high CRYAB and p53 co-expression is required. Our results also suggest that combination therapy with CRYAB inhibitors and p53 blockers may benefit future treatment of ovarian cancer patients with high co-expression of CRYAB and p53.


2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 513-513 ◽  
Author(s):  
Eunjin Jwa ◽  
Jong Hoon Kim ◽  
Seungbong Han ◽  
Jin-hong Park ◽  
Jin Cheon Kim ◽  
...  

513 Background: Pelvic lymph node status after preoperative chemoradiotherapy (CRT) is not only an important indicator for oncologic outcome but critical information to determine the type of a subsequent surgical resection (i.e. curative surgery or local excision) in patients with locally advanced rectal cancer. The purpose of this study is to develop a nomogram to predict the lymph node status after preoperative CRT in rectal cancer patients whose ypT information is available. Methods: Using logistic regression analyses, we constructed a prediction model to predict the probability of lymph node metastasis after preoperative CRT in a cohort of 1,099 patients with rectal cancer treated with preoperative CRT and total mesorectal excision (TME) from 2007 to 2011. The model was internally validated for discrimination and calibration using bootstrap resampling. Results: Pretreatment clinical nodal stage, distant metastasis, pre- and post-treatment tumor differentiation, and ypT stage were reliable predictors for lymph node metastasis after preoperative CRT. The nomogram developed using these parameters represents a valid and accurate method for predicting lymph node metastasis after preoperative CRT in rectal cancer patients. (c-index: 0.75) Patients with low pretreatment nodal stage, nonmetastatic, and well differentiated rectal adenocarcinoma downstaged to ypT0-1 after preoperative CRT will have low chance of pelvic lymph node involvement. Conclusions: Our model is expected to assist clinicians in quantifying the benefit of radical resection and finding out the patient group who can be treated with local excision after preoperative CRT for rectal cancer.


Sign in / Sign up

Export Citation Format

Share Document