Lymph node metastasis as a significant prognostic factor in gastric cancer: a multiple logistic regression analysis

Objective. To develop and validate a novel RNA-seq-based nomogram for preoperative prediction of lymph node metastasis (LNM) for patients with oral squamous cell carcinoma (OSCC). Methods. RNA-seq data for 276 OSCC patients (including 157 samples with LNM and 119 without LNM) were downloaded from TCGA database. Differential expression analysis was performed between LNM and non-LNM of OSCC. These samples were divided into a training set and a test set by a ratio of 9 : 1 while the relative proportion of the non-LNM and LNM groups was kept balanced within each dataset. Based on clinical features and seven candidate RNAs, we established a prediction model of LNM for OSCC using logistic regression analysis. Tenfold crossvalidation was utilized to examine the accuracy of the nomogram. Decision curve analysis was performed to evaluate the clinical utility of the nomogram. Results. A total of 139 differentially expressed RNAs were identified between LNM and non-LNM of OSCC. Seven candidate RNAs were screened based on FPKM values, including NEURL1, AL162581.1 (miscRNA), AP002336.2 (lncRNA), CCBE1, CORO6, RDH12, and AC129492.6 (pseudogene). Logistic regression analysis revealed that the clinical N stage (p<0.001) was an important factor to predict LNM. Moreover, three RNAs including RDH12 (p value < 0.05), CCBE1 (p value < 0.01), and AL162581.1 (p value < 0.05) could be predictive biomarkers for LNM in OSCC patients. The average accuracy rate of the model was 0.7661, indicating a good performance of the model. Conclusion. Our findings constructed an RNA-seq-based nomogram combined with clinicopathology, which could potentially provide clinicians with a useful tool for preoperative prediction of LNM and be tailored for individualized therapy in patients with OSCC.

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Increased expression of phospho-acetyl-CoA carboxylase protein is an independent prognostic factor for human gastric cancer without lymph node metastasis

Medical Oncology ◽

10.1007/s12032-014-0015-7 ◽

2014 ◽

Vol 31 (7) ◽

Cited By ~ 14

Author(s):

Wenzhang Fang ◽

Hongmei Cui ◽

Danyang Yu ◽

Ying Chen ◽

Jiejun Wang ◽

...

Keyword(s):

Gastric Cancer ◽

Lymph Node ◽

Prognostic Factor ◽

Lymph Node Metastasis ◽

Independent Prognostic Factor ◽

Human Gastric Cancer ◽

Acetyl Coa Carboxylase ◽

Acetyl Coa ◽

Node Metastasis

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Early and Late Recurrences after Gastrectomy for Gastric Cancer: A Multiple Logistic Regression Analysis

Upsala Journal of Medical Sciences ◽

10.3109/2000-1967-138 ◽

2002 ◽

Vol 107 (1) ◽

pp. 17-22 ◽

Cited By ~ 9

Author(s):

Takashi Yokota ◽

Toshihiro Saito ◽

Shin Teshima ◽

Yasuo Yamada ◽

Kazutsugu Iwamoto ◽

...

Keyword(s):

Gastric Cancer ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression

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The prognostic value of tumor size in penile cancer: A Surveillance,Epidemiology, and End Results database study

10.21203/rs.3.rs-124807/v1 ◽

2020 ◽

Author(s):

Wenwen Zheng ◽

Zhiyu Zhang ◽

Xilei Xie ◽

Weiwei Zhu ◽

Kangqi Li ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Logistic Regression Analysis ◽

Tumor Size ◽

Prognostic Value ◽

Penile Cancer ◽

Node Metastasis ◽

End Results

Abstract Background: The objective of this study was to investigate the prognostic value of tumor size on cancer-specific mortality (CSM) and lymph node metastasis for patients with penile squamous cell carcinoma (PSCC).Method: The patients diagnosed with PSCC between 2004 and 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Restricted cubic spline functions were calculated to characterize the association between tumor size and the risk of CSM. The competing-risks model was used to evaluate the impact of tumor size on the cumulative incidence of CSM. The logistic regression analysis was performed to examine the association between tumor size and lymph node metastasis.Results: Totally, 1365 PSCC patients were analyzed, with 52.3% having tumors ≤30 mm, and 47.7% >30 mm. The restricted cubic splines showed that the risks of CSM increased as tumors enlarged. Following adjustment of competing events, the PSCC patients with tumors >30 mm were more likely to succumb to CSM in comparison with those with tumors ≤30 mm (hazard ratio [HR]=1.57, 95% confidence interval [CI]: 1.23-2.01, P<0.001). In subgroup analyses, tumor size >30 mm was significantly associated with an increased risk of CSM relative to tumor size ≤30 mm among patients with T1 (HR=1.56, 95%CI: 1.03-2.37, P=0.036) and T3 (HR=2.51, 95%CI: 1.41-4.45, P=0.002) classifications. On logistic regression analysis, tumors >30 mm were significantly associated with lymph node metastasis (odds ratio [OR]=1.46, 95% CI: 1.03-2.07, P=0.034).Conclusion: Larger tumors (>30 mm) were significantly associated with higher risks of CSM and increased likelihood of lymph node metastasis for PSCC patients, which could be integrated into the development of a staging system for penile cancer.

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Age is not a prognostic factor in Korean women with breast cancer treated with breast conservative surgery and radiotherapy

Journal of Clinical Oncology ◽

10.1200/jco.2006.24.18_suppl.10740 ◽

2006 ◽

Vol 24 (18_suppl) ◽

pp. 10740-10740

Author(s):

D. Choi ◽

E. Kim ◽

Y. Kim ◽

M. Lee ◽

H. Park

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Prognostic Factor ◽

Lymph Node Metastasis ◽

Lymph Node Status ◽

Significant Prognostic Factor ◽

Axillary Lymph ◽

Korean Women ◽

Node Metastasis ◽

Node Status

10740 Background: The median age of the breast cancer at diagnosis in Korean women is 45 years and a quarter of the patients are at age 40 or younger. The purpose of this study was to analyze the prognostic factors including age for patients treated with breast conserving surgery and radiotherapy. Methods: Two hundred and eleven breast cancer patients were treated with breast conserving therapy at Soonchunhyang University Hospital, Seoul, Korea, between May 1991 and May 2003. The radiation dose to the whole breast was 50.4 Gy over 5 weeks and boost doses of 10–14 Gy administered to the tumor bed in the majority of the patients (180/211). Nodal radiotherapy was delivered in patients with 4 or more node metastasis. Adjuvant chemotherapy was performed in most of the patients with node metastasis or tumors larger than 1cm, or younger patients. One hundred and thirty four patients received CMF regimen, 14 patients treated with CEF regimen. The median and minimum follow-up periods were 58 and 30 months respectively. Results: The average age at the time of operation was 41.9 years (median 42 years, range 23–67 years), and the mean tumor size was 2.03 cm (median 1.80 cm). One hundred and forty seven patients (69.7%) had pathologically node negative disease and fifteen patients had 4 or more lymph node metastasis. Local, regional relapse and distant metastasis occurred in 7, 3 and 10 patients respectively. The 5 year disease free, loco-regional relapse free and overall survival rate were 89.5%, 93.4%, 95.6%, respectively. Three patients among the 31 patients who received 50.4Gy or incomplete radiotherapy to the breast experienced loco-regional relapse. Age (40 years or less versus more than 40 years old) was not a prognostic factor in univariate analysis. T stage (p = 0.027), lymph node metastasis (p < 0.01) were significant factors for recurrences. By multivariate analysis, only lymph node status was a significant prognostic factor for treatment related failure. Conclusions: A breast conserving procedure is effective for patients with early stage breast cancer regardless of age in Korean women. Axillary lymph node status was the most important independent predictor for a recurrence, and more efficient treatment is required for these patients with lymph node metastasis. No significant financial relationships to disclose.

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Inverse Correlation between Age and Risk of Lymph Node Metastasis in Bladder Cancer

10.21203/rs.3.rs-46937/v1 ◽

2020 ◽

Author(s):

Wenchao Ma ◽

Tiantian Wang ◽

Yadong Guo ◽

Ruiliang Wang ◽

Ji Liu ◽

...

Keyword(s):

Risk Factors ◽

Bladder Cancer ◽

Logistic Regression ◽

Regression Analysis ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Marital Status ◽

Inverse Correlation ◽

Factors Affecting ◽

Node Metastasis

Abstract Background Bladder cancer (BCa) is the most common malignant tumor in humans and brings about a huge burden on the international community and on the families of those it affects. Lymph node metastasis (LNM) is an important factor affecting the prognosis of BCa. This study aimed to investigate the risk factors affecting LNM.Patients and Methods This study involved 5517 patients who underwent BCa-related surgery between 2006 and 2015. The multivariate logistic regression analysis was used to evaluate the association between age and LNM. The overall survival (OS) and cancer-specific survival (CSS) were analyzed using the Kaplan–Meier method. The multivariable Cox regression model was used to evaluate independent risk factors affecting OS and CSS.Results We retrieved 5517 cases from SEER database, including 148 patients aged 40-49 years, 726 aged 50-59 years, 1541 aged 60-69 years, 1538 aged 70-79 years and 1564 aged 80+ years. The rates of LNM were 20.27%, 16.94%, 11.94%, 9.95% and 6.46% for patients aged 40-49, 50-59, 60-69, 70-79 and 80+ years. We found an inverse correlation between age at diagnosis and risk of LNM from the logistic regression analysis in three modules(Module 1: P-value for trend, crude, no adjustment < 0.001; Module 2: P-value for trend adjusted for sex, race, insurance status, and marital status < 0.001; Module 3: P-value for trend adjusted for sex, race, insurance, marital status, size, grade, and metastasis < 0.001). Compared with patients aged 40–49 years, patients aged 50–59 years (OR = 0.752; 95% CI, 0.470–1.204; P = 0.236), 60–69 years (OR = 0.517; 95% CI, 0.329–0.815; P = 0.004), 70–79 years (OR = 0.375; 95% CI, 0.237–0.595; P < 0.001), and 80+ years (OR = 0.248; 95% CI, 0.154–0.398; P < 0.001) had a lower risk of LNM.ConclusionsYounger age at diagnosis was associated with a higher risk of LNM in patients with BCa. Excepting this, grade and metastasis were also risk factors for LNM.

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Prediction of lymph node metastasis in early gastric cancer using artificial intelligence technology.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.4_suppl.289 ◽

2020 ◽

Vol 38 (4_suppl) ◽

pp. 289-289 ◽

Cited By ~ 1

Author(s):

Tomoyuki Irino ◽

Hirofumi Kawakubo ◽

Satoru Matsuda ◽

Shuhei Mayanagi ◽

Rieko Nakamura ◽

...

Keyword(s):

Artificial Intelligence ◽

Gastric Cancer ◽

Image Analysis ◽

Logistic Regression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Early Gastric Cancer ◽

Test Set ◽

Node Negative ◽

Node Metastasis

289 Background: Early gastric cancer shows lymph node involvement in about 10-15% of patients. Despite the fact, we perform radical lymphadenectomy for all patients because predicting lymph node metastasis has yet to be successful. In this study, we hypothesize that image analysis using artificial intelligence (AI) technology may help solve the problem. Methods: We retrospectively collected 82 patients with clinical T1N0 and pathological node negative and 82 patients with clinical T1N0 and pathological node positives and then divided the 164 patients into a training:validation set in ratio of 9:1. Endoscopic images of the early tumors were analyzed by transfer learning using AlexNet, a deep neural network containing 5 convolutional layers and 3 fully-connected layers. The model was validated with newly-collected 40 images from 20 clinical T1N0 and pathological node negative and 20 patients with clinical T1N0 and pathological node positives as a test set. For comparison, three methods of prediction were implemented: prediction at random, by logistic regression, and by skilled endoscopists. Results: The AI predicted LNM with accuracy of 80.9% in the validation set and 66.9% in the test set. (48.3% for node negative cancers and 85.4% for node positive cancers) On the other hand, prediction at random, by logistic regression, and by 2 endoscopists resulted in 50.3%, 50.0%, and 47.5%, respectively. Conclusions: Although the accuracy still needs to be improved, image analysis using the AI technology resulted in the best prediction of lymph node metastasis, indicating that AI is a promising technology for the diagnosis of lymph node metastasis in early gastric cancer.

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Can CA-125 Predict Lymph Node Metastasis in Epithelial Ovarian Cancers in Turkish Population?

Disease Markers ◽

10.1155/2014/492537 ◽

2014 ◽

Vol 2014 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Sinem Sudolmuş ◽

Nadiye Köroğlu ◽

Gökhan Yıldırım ◽

Volkan Ülker ◽

Ahmet Gülkılık ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Logistic Regression Analysis ◽

Geometric Mean ◽

Turkish Population ◽

Ca 125 ◽

Node Metastasis ◽

Preoperative Serum

Objective. The role of single preoperative serum CA-125 levels in predicting pelvic or paraaortic lymph node metastasis in patients operated for epithelial ovarian cancer has been investigated.Methods. 176 patients diagnosed with epithelial ovarian carcinoma after staging laparotomy between January 2002 and May 2010 were evaluated retrospectively.Results. The mean, geometric mean, and median of preoperative serum CA-125 levels were 632,6, 200,29, and 191,5 U/mL, respectively. The cut-off value predicting lymph node metastases in the ROC curve was 71,92 U/mL, which is significant in logistic regression analysis (P=0.005). The preoperative log CA-125 levels were also statistically significant in predicting lymph node metastasis in logistic regression analysis (P=0.008).Conclusions. The tumor marker CA-125, which increases with grade independent of the effect of stage in EOC, is predictive of lymph node metastasis with a high rate of false positivity in Turkish population. The high false positive rate may obscure the predictive value of CA-125.

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