scholarly journals Liver Metastases Pattern in Rectal Cancer: A Real-World Analysis in the SEER Database

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yang X ◽  
◽  
Ren H ◽  
Yang X ◽  
Zhang X ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Liver Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Lung Metastases ◽  
Logistic Analysis ◽  
Kaplan Meier ◽  
N Classification ◽  
New Diagnosis ◽  
Surgical Treatments

Background: The liver is a common metastatic site of colorectal cancer. Rectal cancer patients with organ metastases are more liable to show poor prognosis. The hazard and forecast elements of liver metastases are need to be estimated in rectal cancer patients. Methods: The data of newly diagnosed patients of rectal cancer with liver metastases are evaluated according to Surveillance, Epidemiology, and End Results (SEER) program between 2010 and 2016. The Overall Survival (OS) for dierent subgroups are appraised by Kaplan-Meier analysis and log-rank tests. Univariate and multivariable logistic analysis and Cox regression are performed to evaluate predictors and elements of the presence of liver metastases in new diagnosis, respectively. Results: There are a total of 6,662 (11.1%) rectal cancer patients paired with liver metastases. Factors including age (below), gender (female), marital status (unmarried), race (black), advanced T or N classification, presence of bone or lung metastases, and the absence of surgical treatments are importantly related to the occurrence of liver metastases. The median survival for liver metastases rectal cancer patients was 16.0 months. Indicators referring to elder age, black race, unmarried status, presence of bone, brain or lung metastases, and the absence of surgical treatments all predicted worse survival. Conclusion: The data of our research provide corresponding risks and prognostic elements for liver metastases rectal cancer patients, which offer a way to predict the occurrence of rectal cancer and guide prophylactic treatment in clinical settings.

Population-based assessment of the National Comprehensive Cancer Network recommendations for baseline imaging of rectal cancer

2019 ◽  
Vol 8 (14) ◽  
pp. 1167-1172
Author(s):  
Omar Abdel-Rahman ◽  
Winson Y Cheung
Keyword(s):  
Rectal Cancer ◽  
Liver Metastases ◽  
Cancer Patients ◽  
Predictive Value ◽  
Lung Metastases ◽  
Early Stage ◽  
Abdominal Imaging ◽  
Performance Characteristics ◽  
Seer Database ◽  
Routine Imaging

Aim: To examine the performance characteristics of alternative criteria for baseline staging, in a cohort of contemporary rectal cancer patients from the Surveillance, Epidemiology and End Results (SEER) database. Methods: The SEER database (2010–2015) was accessed and patients with rectal cancer plus complete information on clinical T and N stages as well as metastatic sites were evaluated. We examined various performance characteristics of baseline imaging, including specificity, sensitivity, number needed to investigate (NNI), positive predictive value (PPV), negative predictive value and accuracy. Results: A total of 15,836 rectal cancer patients were included. Based on current guidelines that suggest cross-sectional chest and abdominal imaging for all cases of invasive rectal cancer, these recommendations would yield a PPV of 11.9% for the detection of liver metastases and 6.2% for the detection of lung metastases. This would translate to an NNI of 8.4 for liver metastases and an NNI of 16.1 for lung metastases. When patients with T1N0 were excluded from routine imaging, this resulted in a PPV of 6.4% and an NNI of 15.6 to identify one case of lung metastasis. Likewise, this resulted in a PPV of 12.3% and an NNI of 8.0 to detect one case of liver metastasis. Similarly, when patients with either T1N0 or T2N0 were excluded from routine imaging, the PPV and NNI for lung metastases improved to 6.6% and 15.1, respectively, and the PPV and NNI for liver metastases improved to 12.6 and 7.9%, respectively. Conclusion: Our study suggests that the specificity of the current imaging approach for rectal cancer staging is limited and that the omission of chest and abdominal imaging among selected early stage asymptomatic cases may be reasonable to consider.

scholarly journals The risk and prognostic factors for brain metastases in esophageal cancer patients: an analysis of the SEER database

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shizhao Cheng ◽  
Lei Yang ◽  
Xin Dai ◽  
Jing Wang ◽  
Xingpeng Han
Keyword(s):  
Esophageal Cancer ◽  
Prognostic Factors ◽  
Brain Metastases ◽  
Cancer Patients ◽  
Alaska Native ◽  
Cox Regression ◽  
Lung Metastases ◽  
Seer Database ◽  
Kaplan Meier ◽  
The Brain

Abstract Background Brain metastases were rare in esophageal cancer patients. Using the Surveillance, Epidemiology, and End Results (SEER) database, the present study investigated the incidence, risk and prognostic factors of brain metastases in esophageal cancer patients. Methods Retrieving esophageal cancer patients diagnosed between 2010 and 2018 from the SEER database, univariable and multivariable logistic and cox regression models were used to investigate the risk factors for brain metastases development and prognosis, respectively. The brain metastases predicting nomogram was constructed, evaluated and validated. The overall survival (OS) of patients with brain metastases was analyzed by Kaplan–Meier method. Results A total of 34,107 eligible esophageal cancer patients were included and 618 of them were diagnosed with brain metastases (1.8%). The median survival of the brain metastatic esophageal cancer patients was 5 (95% CI: 5–7) months. The presence of bone metastases and lung metastases were the homogeneously associated factors for the development and prognosis of brain metastases in esophageal cancer patients. Patients younger than 65 years, American Indian/Alaska Native race (vs. White), overlapping lesion (vs. Upper third), esophageal adenocarcinoma histology subtype, higher N stage, and liver metastases were positively associated with brain metastases occurrence. The calibration curve, ROC curve, and C-index exhibited good performance of the nomogram for predicting brain metastases. Conclusions Homogeneous and heterogeneous factors were found for the development and prognosis of brain metastases in esophageal cancer patients. The nomogram had good calibration and discrimination for predicting brain metastases.

scholarly journals Bone Metastases Pattern in Newly Diagnosed Metastatic Nasopharyngeal Carcinoma: A Real-World Analysis in the SEER Database

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Xiaojing Yang ◽  
Hanru Ren ◽  
Weiwei Yu ◽  
Hongling Li ◽  
Xinmiao Yang ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Bone Metastases ◽  
Cox Regression ◽  
Lung Metastases ◽  
Prognostic Indicators ◽  
Logistic Analysis ◽  
Kaplan Meier ◽  
Metastatic Nasopharyngeal Carcinoma ◽  
N Stage ◽  
Male Sex

Objective. To evaluate the prevalence rate and survival situation of bone metastases in initial nasopharyngeal carcinoma (NPC) patients and the hazard and forecast elements of bone metastases NPC patients. Patients and Methods. The data collected from Surveillance, Epidemiology, and End Results (SEER) program between 2010 and 2016 were evaluated. Univariate and multivariable logistic analysis and the Cox regression were carried out to estimate predictors and elements of the being of bone metastases at diagnosis, respectively. The overall survival of different subgroups were appraised by log-rank tests and the Kaplan–Meier analysis. Results. Factors including male sex, higher N stage, presence of liver, and brain or lung metastases were largely related to the occurrence of bone metastases. The median survival time for bone metastasis NPC patients was 14.0 months. A factor of more than one primary sequence number predicted worse survival. Conclusion. The data offer corresponding risks and prognostic indicators of bone metastases for NPC patients.

Expression and Clinical Significance of Serum Exosomal miR-375 in Patients with Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 3896-3904
Author(s):  
Daoting Deng ◽  
Hong Zhang ◽  
Junxi Liu ◽  
Lina Ma ◽  
Xinrui Lei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Cox Regression Analysis ◽  
Healthy Group ◽  
Cancer Group ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Gastric Cancer Group

To explore exosomal miR-375 expression in gastric cancer patients and its relationship with patient prognosis. A total of 53 patients diagnosed with gastric cancer in our hospital from May 2014 to May 2016 were included as the gastric cancer group, and 46 healthy women who came to our hospital for physical examination during the same period were enrolled as the healthy group. Exosomal miR-375 expression level was detected using qRT-PCR, and the diagnostic performance and prognostic significance of exosomal miR-375 in gastric cancer were explored. The gastric cancer group showed increased exosomal miR-375 expression than the healthy group (P< 0.05); Kaplan-Meier survival analysis exhibited that serum exosomal miR-375 has an AUC of 0.778, sensitivity of 69.57%, and specificity of 75.47%, whereas Cox regression analysis showed that the miR-375 expression in exosomes was an independent risk factor affecting the prognosis of gastric cancer patients (P< 0.05). Patient with gastric cancer showed upregulated miR-375 expression in serum exosomes. Serum exosomal miR-375 was found to has positive sensitivity and specificity in the diagnosis of gastric cancer, which may be associated with poor prognosis of gastric cancer patients.

Down-regulation of miR-219-5p increase the risk of cancer-related mortality in patients with prostate cancer

2021 ◽  
pp. postgradmedj-2021-139981
Author(s):  
Shimin Tang ◽  
Hao Jiang ◽  
Zhijun Cao ◽  
Qiang Zhou
Keyword(s):  
Prostate Cancer ◽  
Prediction Model ◽  
Cancer Patients ◽  
Cox Regression ◽  
Cox Model ◽  
Risk Of Death ◽  
Kaplan Meier ◽  
Risk Of Progression ◽  
Patient Prognosis ◽  
Risk Of Cancer

IntroductionProstate cancer is a common malignancy in men that is difficult to treat and carries a high risk of death. miR-219-5p is expressed in reduced amounts in many malignancies. However, the prognostic value of miR-219-5p for patients with prostate cancer remains unclear.MethodsWe retrospectively analysed data from 213 prostate cancer patients from 10 June 2012 to 9 May 2015. Overall survival was assessed by Kaplan-Meier analysis and Cox regression models. Besides, a prediction model was constructed, and calibration curves evaluated the model’s accuracy.ResultsOf the 213 patients, a total of 72 (33.8%) died and the median survival time was 60.0 months. We found by multifactorial analysis that miR-219-5p deficiency increased the risk of death by nearly fourfold (HR: 3.86, 95% CI): 2.01 to 7.44, p<0.001) and the risk of progression by twofold (HR: 2.79, 95% CI: 1.68 to 4.64, p<0.001). To quantify each covariate’s weight on prognosis, we screened variables by cox model to construct a predictive model. The Nomogram showed excellent accuracy in estimating death’s risk, with a corrected C-index of 0.778.ConclusionsmiR-219-5p can be used as a biomarker to predict death risk in prostate cancer patients. The mortality risk prediction model constructed based on miR-219-5p has good consistency and validity in assessing patient prognosis.

Development and validation of a radiomics nomogram to discriminate advanced pancreatic cancer patients with liver metastases or other metastatic patterns.

2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 435-435
Author(s):  
Junjie Hang ◽  
Lixia Wu
Keyword(s):  
Pancreatic Cancer ◽  
Liver Metastases ◽  
Cancer Patients ◽  
Validation Cohort ◽  
Advanced Pancreatic Cancer ◽  
Region Of Interest ◽  
Calibration Plot ◽  
Training Cohort ◽  
Kaplan Meier ◽  
Metastatic Patterns

435 Background: Pancreatic cancer patients with liver metastases had much poorer prognosis than those with other metastatic patterns. This study aimed to develop and validate a radiomics model to discriminate pancreatic cancer patients with liver metastases from patients with other metastatic patterns. Methods: We evaluated 77 patients advanced pancreatic cancer (APC) with different metastatic patterns and performed texture analysis on the region of interest (ROI). 58 patients and 19 patients were allocated randomly into the training cohort and the validation cohort with almost the same proportion of patients with liver metastases. An independent samples t-test was used for initial feature selection in the training cohort. Random Forest Classifier (RFC) was used to construct models based on these features in both cohorts and a radiomics signature (RS) was derived from the model. Then a nomogram was constructed based on RS and CA19-9, and validated with calibration plot and decision curve. The prognostic value of RS was evaluated by Kaplan-Meier methods. Results: A nomogram based on the RS and CA19-9 was constructed and it demonstrated good discrimination in the training cohort (AUC = 0.93) and validation cohort (AUC = 0.81). Kaplan-meier methods showed that patients with RS>0.61 had much poorer OS than patients with RS < 0.61 in both cohorts. Conclusions:This study presents a radiomics nomogram incorporating both RS and CA19-9, which can be used to discriminate advanced pancreatic cancer patients with liver metastases from patients with other metastatic patterns.

Abstract TP209: Effect of Chemotherapy on Stroke Risk in Cancer Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takaya Kitano ◽  
Tsutomu Sasaki ◽  
Yasufumi Gon ◽  
Kenichi Todo ◽  
Shuhei Okazaki ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Propensity Scores ◽  
Stroke Risk ◽  
Cox Regression ◽  
Treatment Plan ◽  
University Hospital ◽  
Chemotherapy Group ◽  
Kaplan Meier ◽  
Increased Risk ◽  
The Impact

Introduction: Chemotherapy may be a cause of cancer-associated stroke, but whether it increases stroke risk remains uncertain. We aimed to clarify the impact of chemotherapy on stroke risk in cancer patients. Methods: We investigated 27,932 patients enrolled in a hospital-based cancer registry at Osaka University Hospital between 2007 and 2015. The registry collects clinical data, including cancer status (site and stage), on all patients treated for cancer. Of them, 19,006 patients with complete data were included. A validated algorithm was used to identify stroke events within 2 years of cancer diagnosis. Patients were divided based on whether their initial treatment plan included chemotherapy. The association between chemotherapy and stroke was analyzed using the Kaplan-Meier method and stratified Cox regression. Results: Of the 19,006 patients, 5,887 (31%) patients were in the chemotherapy group. Non-targeted chemotherapy was used in 5,371 patients. Stroke occurred in 44 patients (0.75%) in the chemotherapy group and 51 patients (0.39%) in the no-chemotherapy group. Kaplan-Meier curve analysis showed that patients in the chemotherapy group had a higher stroke risk than patients in the no-chemotherapy group (HR 1.84; 95% CI 1.23-2.75; Figure [A]). However, this difference was insignificant after adjustment for cancer status using inverse probability of treatment weighting with propensity scores (HR 1.20; 95% CI 0.76-1.91; Figure [B]). Similarly, in the stratified Cox regression model, chemotherapy was not associated with stroke after adjustment for cancer status (HR 1.26; 95% CI 0.78-2.03). These findings were consistent with analysis wherein the effect of chemotherapy was treated as a time-dependent covariate (HR 1.02; 95% CI 0.55-1.88). Conclusions: In this population, the elevated stroke risk in cancer patients who received chemotherapy was presumably due to advanced cancer stage; chemotherapy was not associated with the increased risk of stroke.

scholarly journals Immune Cell Infiltration in the Microenvironment of Liver Oligometastasis from Colorectal Cancer: Intratumoural CD8/CD3 Ratio Is a Valuable Prognostic Index for Patients Undergoing Liver Metastasectomy

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1922 ◽  
Author(s):  
Jianhong Peng ◽  
Yongchun Wang ◽  
Rongxin Zhang ◽  
Yuxiang Deng ◽  
Binyi Xiao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastases ◽  
Immune Cell ◽  
Cox Regression ◽  
Simultaneous Detection ◽  
Prognostic Index ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Prognostic Information ◽  
Kaplan Meier

Background: A comprehensive investigation into immune cell infiltration provides more accurate and reliable prognostic information for patients with colorectal liver oligometastases (CLO) after liver metastasectomy. Methods: Simultaneous detection of the immune constituents CD3+, CD8+, Foxp3+ T, and α-SMA+ cells in the liver oligometastasis of 133 patients was conducted using a four-colour immunohistochemical multiplex technique. Immune cells were quantified, and tumour-infiltrating lymphocyte (TIL) ratios were subsequently calculated. Correlation analysis was performed using Pearson’s correlation. Recurrence-free survival (RFS) and overall survival (OS) for TIL ratios were analysed using the Kaplan–Meier method and Cox regression models. Results: Significantly fewer CD3+, CD8+, and Foxp3+ T cells were observed in the intratumoural region than in the peritumoural region of liver metastases. CD3+, CD8+, Foxp3+ T, and α-SMA+ cells showed significantly positive correlations with each other both in the intratumoural and peritumoural regions of liver metastases. Only the CD8/CD3 TIL ratio demonstrated a positive correlation between intratumoural and peritumoural regions of liver metastases (r = 0.541, p < 0.001). Patients with high intratumoural CD8/CD3 ratios had significantly longer 3-year RFS (59.0% vs. 47.4%, p = 0.035) and 3-year OS rates (83.3% vs. 65.8%, p = 0.007) than those with low intratumoural CD8/CD3 ratios. Multivariate analyses revealed that the intratumoural CD8/CD3 ratio was independently associated with RFS (HR = 0.593; 95% CI = 0.357–0.985; p = 0.043) and OS (HR = 0.391; 95% CI = 0.193–0.794; p = 0.009). Conclusion: These findings offer a better understanding of the prognostic value of immune cell infiltration on liver oligometastasis from colorectal cancer.

Impact of dose-capping chemotherapy in concurrent chemoradiotherapy in rectal cancer patients

2020 ◽  
pp. 107815522096219
Author(s):  
Ran Yang ◽  
Moftah Younis ◽  
Kurian Joseph ◽  
Sunita Ghosh ◽  
Tirath Nijjar ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Cancer Patients ◽  
Binary Logistic Regression ◽  
Disease Recurrence ◽  
Kaplan Meier ◽  
Significant Toxicity ◽  
Increased Risk ◽  
Risk Of Disease ◽  
Chemotherapy Dose

Introduction The study evaluated the effect of chemotherapy dose-capping on disease recurrence, toxicity and survival of rectal cancer patients treated with chemoradiotherapy (CRT). Methods 601 consecutive rectal cancer patients treated with concurrent CRT were retrospectively analysed. Dose-capped patients were defined as having a body surface area (BSA) ≥2.0 m2 and who received <95% full weight-based chemotherapy dose. Binary logistic regression was used to study the factors associated with the outcome variables (capped vs. uncapped). Kaplan-Meier estimation evaluated significant predictors of survival. Results The median follow-up time was 7.54 years. The rate of disease recurrence was significantly higher in dose-capped patients (35%) compared to those without dose-capping (24%, P = 0.016). The adjusted odds ratio for dose-capped patients experiencing recurrence was 1.64 compared to uncapped patients (95% CI, 1.10–2.43). Overall, dose-capped patients were less likely to experience significant toxicity requiring dose reduction and/or treatment break when compared to uncapped patients (15% and 28% respectively, P = 0.008).There was significant differences in PFS between capped and uncapped group (77% vs. 85%; P = 0.017). The 5-year OS in the capped group was 75.0%, and 80% in the uncapped group ( P = 0.149). Conclusions Rectal cancer patients treated with dose-capped CRT were at increased risk of disease recurrence. Patients dosed by actual BSA did experience excessive toxicity compared to dose-capped group. We recommend that chemotherapy dose-capping based on BSA should not be practiced in rectal cancer patients undergoing CRT.

Clinical outcomes of intermediate risk metastatic germ cell tumors (IRGCT): Results from a single-institution series.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 380-380
Author(s):  
Daniele Raggi ◽  
Salvatore Lo Vullo ◽  
Patrizia Giannatempo ◽  
Daniele Giardiello ◽  
Nicola Nicolai ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Lung Metastases ◽  
Multivariable Analysis ◽  
Germ Cell Tumors ◽  
Time Frame ◽  
Logrank Test ◽  
First Line Therapy ◽  
Kaplan Meier

380 Background: IRGCT comprises a consistent category of metastatic patients (pts), and information on the recommended management of these pts should be updated. Usually they enter clinical trials for poor prognosis GCT. We aimed to address the heterogeneity of this category and to identify clinical prognostic factors for sub-stratification of pts. Methods: Data on consecutive pts with IRGCT and who received treatment at Fondazione INT Milano in the time-frame 02/1980-03/2014 were collected. Cox regression analyses were done evaluating potential prognostic factors for overall survival (OS, primary endpoint) to first-line therapy. Each factor was evaluated in a multivariable model. An exploratory OS comparison between outlier groups was undertaken with Kaplan Meier curves and logrank test. Results: Data on 181 pts were collected. Median age was 27 yrs (IQR 22-32), 10 pts had a retroperitoneal (RP) primary, 6 had pure seminoma. 72 (39.8%) had lung metastases and 54 (32.3%) bulky (i.e. ≥10cm) RP lymph-nodes (LN). Pts received cisplatin, bleomycin and etoposide (PEB, n=156) or vinblastine (PVB, n=23), 2 other treatments. Median follow up was 173 months (IQR: 87-237). Globally, 5-y PFS and OS were 66.8% (95%CI: 60.1-74.2) and 83.3% (77.8-89.2). However, 5-y OS for pts with AFP 5,000-10,000 IU/ml (N=19) was 61.8% (95%CI: 43.0-88.7) while it was 89.1% (95%CI: 81.2-97.7) for nonseminomas with elevated LDH only (N=57) and similar for elevated HCG only (N=22); overall p<0.001. Multivariable analysis for OS is shown in the table (c-index= 0.63). Distribution of variables over time: bulky RP LN and elevated LDH were more frequent in earlier series (p=0.003 and 0.011). Conclusions: The prognostic heterogeneity of IRGCT category is a matter of fact and should be addressed by clinical trials. Pts with highly elevated AFP have an OS similar to poor prognostic category, while those categorized by elevated HCG or LDH only are close to good risk ones. [Table: see text]

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