Over-expression of CEP55 Predicts Favorable Prognosis in Colorectal Cancer Patients With Lymph Node Involvement

2021 ◽  
Vol 41 (1) ◽  
pp. 543-547
Author(s):  
REN-HUNG HUANG ◽  
WEN-KANG YANG ◽  
CHEUK MAN WU ◽  
CHUNG-MIN YEH ◽  
WEN-WEI SUNG
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Cancer Patients ◽  
Lymph Node Involvement ◽  
Over Expression ◽  
Favorable Prognosis ◽  
Node Involvement ◽  
Colorectal Cancer Patients

Risk factors of brain metastasis in a series of Egyptian breast cancer patients: A single-institution experience.

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 50-50
Author(s):  
H. A. Azim ◽  
R. A. Malek ◽  
D. Abdelmonem ◽  
S. Amin ◽  
M. Abdelsalam
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Brain Metastasis ◽  
Cancer Patients ◽  
Tumor Size ◽  
Lymph Node Involvement ◽  
Breast Cancer Patients ◽  
Over Expression ◽  
Node Involvement

50 Background: Incidence of cerebral metastasis is increasing among breast cancer patients. Many factors have been reported associated with increased risk of brain metastasis. The aim of this retrospective analysis is to investigate the predictive factors for the development of brain metastasis in breast cancer patients. Methods: We retrospectively analyzed histologically proven breast cancer patients who presented to Cairo Oncology Center (COC) in the period from 1999 till 2008, with follow up period of 6 months at least for those in adjuvant setting. The following factors were analyzed: age, tumor size and grade, nodal status, ER, PgR and HER2 over-expression status. Results: Our study included 2,338 patients. 96 patients (4.1%) experienced brain metastasis during the course of their disease. 3 patients had brain metastasis among other sites of distant spread at first presentation to COC. 30 out of 96 patients (31.25%) with localized breast cancer had brain metastasis at first relapse with 13 (13.5%) of them had isolated brain metastasis. In a median follow-up of 37.1 months (6-277) the median time to develop brain metastasis was 26.5 months (0-144). Based on univariate analysis, the following variables were associated with shorter time to develop brain metastasis: tumor size more than 5 cm (HR = 2.1, 95% CI 1.14-3.87), lymph node involvement at diagnosis (HR = 1.57, 95%CI 1.17-2.10), ER negativity (HR = 1.58, 95%CI 1.33-1.73), PgR negativity (HR = 1.55, 95%CI 1.29-1.72) and HER2-neu over-expression (HR = 2.68, 95%CI 1.51-4.75). On multivariate analysis, only patients with lymph node involvement at diagnosis and those with HER2-neu positive breast cancer were associated with shorter time to develop brain metastasis. Conclusions: We concluded that HER2 over-expression as well as lymph node involvement are the 2 main factors associated with shorter time to develop brain metastasis. These patients could be good candidates for trials investigating the role of any prophylactic intervention to decrease their risk to develop brain metastases.

Associations between age and stage at presentation among black and white colorectal cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15542-e15542
Author(s):  
Victoria Starks ◽  
Edith P. Mitchell
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Distant Metastases ◽  
Lymph Node Involvement ◽  
University Hospital ◽  
Black And White ◽  
Response To Chemotherapy ◽  
Node Involvement ◽  
Colorectal Cancer Patients

e15542 Background: Blacks have a 25% higher incidence of colorectal cancer compared to their white societal counterparts. Additionally, the overall mortality rate among black colorectal cancer patients is 50% higher than that of whites. It is suggested that the etiology of this disparity may be inadequate screening for colorectal cancer among racial communities. However, little is known about the correlations between age and stage at presentation among black and white colorectal cancer patients at Thomas Jefferson University Hospital (TJUH). Objective: The objective of this study is to explore diagnostic trends that may unveil differences in age and stage at presentation between black and white colorectal cancer patients. Methods: De-identified patient data was obtained from The Oncology Data Services Department (Cancer Registry) of TJUH. The population cohort (n= 529) included newly diagnosed colorectal cancer patients treated at TJUH from 2015-2019 and included information regarding race, sex, age at presentation, stage at presentation, histological code, tumor markers: KRAS, NRAS, BRAF, MS1, treatment received, surgical findings: tumor size, lymph node involvement, presence of distant metastases at first surgery, response to chemotherapy & disease-free survival. The cohort was divided by age (<50, 50-65, >65). Patient age was compared against AJCC stage at presentation. Results: Findings reveal 12.38% of blacks & 14.29% of whites presented before age 50. 36.19% of blacks and 30.19% of whites presented between ages 50-65. 51.43% of blacks & 55.42% of whites presented after age 65. Additionally, the average age at presentation among blacks was 62.71 years vs. 65.71 years among whites. Lastly, the average stage at presentation among blacks was between 2C and 3A while the average stage at diagnosis among whites was between least 2B and 2C. Conclusions: Within this population, similarities exist among age at presentation between black and white patients, however, differences in stage at presentation exist between blacks and whites. Further research is needed explore how these findings inform the poor clinical outcomes seen among black colorectal cancer patients. Future analysis of this cohort will explore trends regarding time to treatment and treatment received after diagnosis, as similar studies have found differences among racial populations.

Prognostic Characteristics of Colorectal Cancer Patients With Benign Mesenteric Lymph Node Enlargement

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Xianghui Huang ◽  
Yichen Yang ◽  
Qibing Liu ◽  
Xiaolong Tang ◽  
Jingbo Shi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Cancer Patients ◽  
Mesenteric Lymph Node ◽  
Mesenteric Lymph ◽  
Lymph Node Enlargement ◽  
Colorectal Cancer Patients

scholarly journals Influence of Covariates on Involved Lymph Nodes in Primary Breast Cancer Patients: Mixture Distribution Zero-Inflated Modeling Methodological Framework

2020 ◽  
Author(s):  
Madiha Liaqat ◽  
Shahid Kamal ◽  
Florian Fischer ◽  
Nadeem Zia
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Primary Breast Cancer ◽  
Negative Binomial ◽  
Lymph Node Involvement ◽  
Breast Cancer Patients ◽  
Node Involvement ◽  
Study Population

Abstract Background: Involvement of lymph nodes has been an integral part of breast cancer prognosis and survival. This study aimed to explore factors influencing on the number of auxiliary lymph nodes in women diagnosed with primary breast cancer by choosing an efficient model to assess excess of zeros and over-dispersion presented in the study population. Methods: The study is based on a retrospective analysis of hospital records among 5,196 female breast cancer patients in Pakistan. Zero-inflated Poisson and zero-inflated negative binomial modeling techniques are used to assess the association between under-study factors and the number of involved lymph nodes in breast cancer patients. Results: The most common breast cancer was invasive ductal carcinoma (54.5%). Patients median age was 48 years, from which women aged 46 years and above are the majority of the study population (64.8%). Examination of tumors revealed that over 2,662 (51.2%) women were ER-positive, 2,652 (51.0%) PR-positive, and 2,754 (53.0%) were Her2.neu-positive. The mean tumor size was 3.06 cm and histological grade 1 (n=2021, 38.9%) was most common in this sample. The model performance was best in the zero-inflated negative binomial model. Findings indicate that most factors related to breast cancer have a significant impact on the number of involved lymph nodes. Age is not contributed to lymph node status. Women having a larger tumor size suffered from greater number of involved lymph nodes. Tumor grades 11 and 111 contributed to higher numbers of positive lymph node.Conclusions: Zero-inflated models have successfully demonstrated the advantage of fitting count nodal data when both “at-harm” (lymph node involvement) and “not-at-harm” (no lymph node involvement) groups are important in predicting disease on set and disease progression. Our analysis showed that ZINB is the best model for predicting and describing the number of involved nodes in primary breast cancer, when overdispersion arises due to a large number of patients with no lymph node involvement. This is important for accurate prediction both for therapy and prognosis of breast cancer patients.

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