scholarly journals The association of five preoperative serum tumor markers and pathological features in patients with breast cancer

2019 ◽  
Vol 33 (5) ◽  
Author(s):  
Mingjian Lian ◽  
Cuixia Zhang ◽  
Dongdong Zhang ◽  
Ping Chen ◽  
Huijing Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Markers ◽  
Pathological Features ◽  
Serum Tumor Markers ◽  
Preoperative Serum

Serum Tumor Markers in Stage I-II Breast Cancer

2016 ◽  
Vol 12 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Renato Tozzoli ◽  
Federica D';Aurizio ◽  
Flavio Falcomer ◽  
Stefano M.M. Basso ◽  
Franco Lumachi
Keyword(s):  
Breast Cancer ◽  
Tumor Markers ◽  
Stage I ◽  
Serum Tumor Markers

scholarly journals Serum Tumor Markers for Detection of Bone Metastasis in Breast Cancer Patients

1994 ◽  
Vol 33 (2) ◽  
pp. 181-186 ◽  
Author(s):  
Adnan Aydiner ◽  
Erkan Topuz ◽  
Rian Discli ◽  
Vildan Yasasever ◽  
Maktav Dincer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Metastasis ◽  
Cancer Patients ◽  
Tumor Markers ◽  
Breast Cancer Patients ◽  
Serum Tumor Markers

Influence of Neoadjuvant Chemotherapy on Serum Tumor Markers CA 15-3, MCA, CEA, TPS and TPA in Breast Cancer Patients with Operable Disease

Tumor Biology ◽  
1997 ◽  
Vol 18 (5) ◽  
pp. 301-310 ◽  
Author(s):  
A. Bottini ◽  
A. Berruti ◽  
M. Tampellini ◽  
B. Morrica ◽  
A. Brunelli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Tumor Markers ◽  
Breast Cancer Patients ◽  
Serum Tumor Markers

scholarly journals The Prognostic Value of Preoperative Serum Tumor Markers in Non-Small Cell Lung Cancer Varies With Radiological Features and Histological Types

2021 ◽  
Vol 11 ◽  
Author(s):  
Haiqing Chen ◽  
Fangqiu Fu ◽  
Yue Zhao ◽  
Haoxuan Wu ◽  
Hong Hu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Small Cell Lung Cancer ◽  
Tumor Markers ◽  
Cell Lung Cancer ◽  
Carbohydrate Antigen ◽  
Small Cell ◽  
Small Cell Lung ◽  
Serum Tumor Markers ◽  
Preoperative Serum

ObjectivesTo assess the association between common-used serum tumor markers and recurrence of lung adenocarcinoma and squamous cell carcinoma separately and determine the prognostic value of serum tumor markers in lung adenocarcinoma featured as ground glass opacities.MethodsA total of 2,654 non-small cell lung cancer patients undergoing surgical resection between January 2008 and September 2014 were analyzed. The serum levels of carcinoma embryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153) and carbohydrate antigen 199 (CA199) were tested preoperatively. Survival analyses were performed with COX proportional hazard regression.ResultsAmong patients with lung adenocarcinoma, elevated preoperative serum CEA(HR=1.246, 95%CI:1.043-1.488, P=0.015), CYFRA21-1(HR=1.209, 95%CI:1.015-1.441, P=0.034) and CA125(HR=1.361, 95%CI:1.053-1.757, P=0.018) were significantly associated with poorer recurrence free survival (RFS). Elevated preoperative serum CA199 predicted worse RFS in patients diagnosed with lung squamous cell carcinoma (HR=1.833, 95%CI: 1.216-2.762, P=0.004). Preoperative serum CYFRA21-1(HR=1.256, 95%CI:1.044-1.512, P=0.016) and CA125(HR=1.373, 95%CI: 1.050-1.795, P=0.020) were independent prognostic factors for patients with adenocarcinoma presenting as solid nodules while serum CEA (HR=2.160,95%CI:1.311-3.558, P=0.003) and CA125(HR=2.475,95%CI:1.163-5.266, P=0.019) were independent prognostic factors for patients with adenocarcinoma featured as ground glass opacities.ConclusionsThe prognostic significances of preoperative serum tumor markers in non-small cell lung cancer were associated with radiological features and histological types.

scholarly journals Construction of a Lymph Node Metastasis Nomogram Prediction Model Based on Dual-Energy CT Radiomics of Gastric Cancer Lesions

2021 ◽  
Author(s):  
Hong-li CUN ◽  
Qian-ting DUAN ◽  
Ying-ying DING ◽  
Da-fu Zhang ◽  
Ling YANG ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Tumor Markers ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Test Set ◽  
Serum Tumor Markers ◽  
Node Metastasis ◽  
Preoperative Serum ◽  
Auc Value

Abstract Background This study aimed to explore the value of gastric cancer (GC) tumor markers and dual-energy CT（DECT） scans of arterial and venous GC lesions with quantitative iodine concentration (IC) and radiomics, to predict lymph node metastasis (LNM) in patients with GC. Methods This prospective study comprised of 177 patients that underwent dual-energy CT scans before surgery, and were subsequently diagnosed with GC by postoperative pathology. Serum tumor markers and arterial phases (AP) and venous phases (VP) of GC lesion iodine concentration (IC) and normalized iodine concentration (nIC) were analyzed. Patients were divided into either the LNM group or non-LNM group according to pathological results. The Wilcoxon rank-sum test was used to compare the serum tumor markers, IC, and nIC of the 2 groups, and a ROC curve was drawn to evaluate their effectiveness in predicting LNM in patients with GC. After using the Siemens syngo.via Frontier Radiomics software to extract radiomics features , all patients were randomly divided into a train set and a test set with a 7:3 ratio to predict GC LNM. Results Among the 177 patients with GC, 83 were diagnosed with LNM, while 94 did not have LNM. The preoperative serum tumor markers CA125, CA199, and CEA were statistically significant for predicting the presence of LNM (P<0.05). In the transfer group, AP and VP IC were 2.63 mg/ml (2.3, 3.00) and 3.60 mg/ml (3.23, 4.03) respectively, with corresponding areas under the curve (AUC) of 0.83 and 0.91. The nIC was 0.18 mg/ml (0.15, 0.21) and 0.78 mg/ml (0.65, 0.86); the AUC curve was 0.79 and 0.87. Both the IC and nIC were higher in the patients with LNM than those without LNM (P<0.05). Establishing a random forest (RF) model based on the radiomics extracted from the GC lesions had a high diagnostic value in predicting whether the lymph nodes in patients with GC were metastatic. The RF model AUC value was 0.959 for the train set and 0.977 for the test set. The AUC value of the nomogram predicting LNM was 0.996 for the train set and 0.976 for the test set. Conclusion Models based on preoperative serum tumor markers (CA125, CA199, and CEA) in patients with GC, quantitative dual-energy CT parameter values of the lesions (AP and VP IC, nIC), and radiomics have a higher diagnosis of LNM. The value of nomogram in combination with multi-parameter analysis is higher diagnosis of LNM, which can provide a reliable basis for preoperative evaluation of LNM.

Use of Serum Tumor Markers for the Diagnosis and Follow-Up of Breast Cancer

Oncology ◽  
1998 ◽  
Vol 55 (5) ◽  
pp. 447-449 ◽  
Author(s):  
G. Barrenetxea ◽  
J. Schneider ◽  
M.F. Llorente
Keyword(s):  
Breast Cancer ◽  
Tumor Markers ◽  
Serum Tumor Markers
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