Cancer Biomarkers : Section A of Disease Markers This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Breast cancer detection employing stacked ensemble model with convolutional features
This study proposes the use of an ensemble model to provide accurate detection of breast cancer. The proposed model uses the random forest and support vector classifier along with automatic feature extraction using an optimized convolutional neural network (CNN). Extensive experiments are performed using the original, as well as, CNN-based features to analyze the performance of the deployed models. Experimental results involving the use of the Wisconsin dataset reveal that CNN-based features provide better results than the original features. It is observed that the proposed model achieves an accuracy of 99.99% for breast c...
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Hanen Karamti Raed Alharthi Muhammad Umer Hadil Shaiba Abid Ishaq Nihal Abuzinadah Shtwai Alsubai Imran Ashraf Source Type: research

Can serum ferritin serve as a biomarker for the prognosis of gynecological malignant tumors? A retrospective cohort study
CONCLUSION: Although this study did not find serum ferritin to be a significant independent prognosis indicator in gynecological malignant tumors, this study did identify that gynecological malignant tumor patients with high serum ferritin levels have significantly less survival time than patients with low or normal serum ferritin levels.PMID:38160345 | DOI:10.3233/CBM-230040 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Weidan Zhang Qiaoqiao Chen Yali Cheng Miao Wang Jinfei Tong Rongrong Tang Yihong Pan Jianhua Yang Source Type: research

Prognostic value and gene regulatory network of CMSS1 in hepatocellular carcinoma
CONCLUSIONS: The present study suggests that CMSS1 is a potential molecular marker for the diagnosis and prognostic of LIHC.PMID:38160346 | DOI:10.3233/CBM-230209 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Cheng Chen Caiming Wang Wei Liu Jiacheng Chen Liang Chen Xiangxiang Luo Jincai Wu Source Type: research

Breast cancer detection employing stacked ensemble model with convolutional features
This study proposes the use of an ensemble model to provide accurate detection of breast cancer. The proposed model uses the random forest and support vector classifier along with automatic feature extraction using an optimized convolutional neural network (CNN). Extensive experiments are performed using the original, as well as, CNN-based features to analyze the performance of the deployed models. Experimental results involving the use of the Wisconsin dataset reveal that CNN-based features provide better results than the original features. It is observed that the proposed model achieves an accuracy of 99.99% for breast c...
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Hanen Karamti Raed Alharthi Muhammad Umer Hadil Shaiba Abid Ishaq Nihal Abuzinadah Shtwai Alsubai Imran Ashraf Source Type: research

Can serum ferritin serve as a biomarker for the prognosis of gynecological malignant tumors? A retrospective cohort study
CONCLUSION: Although this study did not find serum ferritin to be a significant independent prognosis indicator in gynecological malignant tumors, this study did identify that gynecological malignant tumor patients with high serum ferritin levels have significantly less survival time than patients with low or normal serum ferritin levels.PMID:38160345 | DOI:10.3233/CBM-230040 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Weidan Zhang Qiaoqiao Chen Yali Cheng Miao Wang Jinfei Tong Rongrong Tang Yihong Pan Jianhua Yang Source Type: research

Prognostic value and gene regulatory network of CMSS1 in hepatocellular carcinoma
CONCLUSIONS: The present study suggests that CMSS1 is a potential molecular marker for the diagnosis and prognostic of LIHC.PMID:38160346 | DOI:10.3233/CBM-230209 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Cheng Chen Caiming Wang Wei Liu Jiacheng Chen Liang Chen Xiangxiang Luo Jincai Wu Source Type: research

Breast cancer detection employing stacked ensemble model with convolutional features
This study proposes the use of an ensemble model to provide accurate detection of breast cancer. The proposed model uses the random forest and support vector classifier along with automatic feature extraction using an optimized convolutional neural network (CNN). Extensive experiments are performed using the original, as well as, CNN-based features to analyze the performance of the deployed models. Experimental results involving the use of the Wisconsin dataset reveal that CNN-based features provide better results than the original features. It is observed that the proposed model achieves an accuracy of 99.99% for breast c...
Source: Cancer Biomarkers : Section A of Disease Markers - December 31, 2023 Category: Cancer & Oncology Authors: Hanen Karamti Raed Alharthi Muhammad Umer Hadil Shaiba Abid Ishaq Nihal Abuzinadah Shtwai Alsubai Imran Ashraf Source Type: research

A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules
CONCLUSIONS: This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies.PMID:38143336 | DOI:10.3233/CBM-230104 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Ziwen Zhu Weizhen Jiang Danhong Zhou Weidong Zhu Cheng Chen Source Type: research

The ratio of lymphocyte/red blood cells and platelets/lymphocytes are predictive biomarkers for lymph node metastasis in patients with breast cancer
CONCLUSIONS: PLR and LRR could be identified as predictors of LNM in patients with T1/T2 breast cancer.PMID:38143337 | DOI:10.3233/CBM-220260 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Haofeng Wang Jinling Yu Weida Shen Haiyan Zhao Jing Cui Beimin Gao Source Type: research

Identification of the six-hormone secretion-related gene signature as a prognostic biomarker for colon adenocarcinoma
CONCLUSIONS: This study demonstrated the prognostic significance of a HSS signature based on six hormone secretion-related genes in COAD. The findings suggest that this gene signature may serve as a reliable biomarker for predicting survival outcomes in COAD patients.PMID:38143338 | DOI:10.3233/CBM-230126 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Xiongjie Jia Tao Zhang Xinze Lv Haiwei Du Yongkun Sun Yin Guan Source Type: research

A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules
CONCLUSIONS: This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies.PMID:38143336 | DOI:10.3233/CBM-230104 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Ziwen Zhu Weizhen Jiang Danhong Zhou Weidong Zhu Cheng Chen Source Type: research

The ratio of lymphocyte/red blood cells and platelets/lymphocytes are predictive biomarkers for lymph node metastasis in patients with breast cancer
CONCLUSIONS: PLR and LRR could be identified as predictors of LNM in patients with T1/T2 breast cancer.PMID:38143337 | DOI:10.3233/CBM-220260 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Haofeng Wang Jinling Yu Weida Shen Haiyan Zhao Jing Cui Beimin Gao Source Type: research

Identification of the six-hormone secretion-related gene signature as a prognostic biomarker for colon adenocarcinoma
CONCLUSIONS: This study demonstrated the prognostic significance of a HSS signature based on six hormone secretion-related genes in COAD. The findings suggest that this gene signature may serve as a reliable biomarker for predicting survival outcomes in COAD patients.PMID:38143338 | DOI:10.3233/CBM-230126 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Xiongjie Jia Tao Zhang Xinze Lv Haiwei Du Yongkun Sun Yin Guan Source Type: research

A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules
CONCLUSIONS: This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies.PMID:38143336 | DOI:10.3233/CBM-230104 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Ziwen Zhu Weizhen Jiang Danhong Zhou Weidong Zhu Cheng Chen Source Type: research

The ratio of lymphocyte/red blood cells and platelets/lymphocytes are predictive biomarkers for lymph node metastasis in patients with breast cancer
CONCLUSIONS: PLR and LRR could be identified as predictors of LNM in patients with T1/T2 breast cancer.PMID:38143337 | DOI:10.3233/CBM-220260 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - December 25, 2023 Category: Cancer & Oncology Authors: Haofeng Wang Jinling Yu Weida Shen Haiyan Zhao Jing Cui Beimin Gao Source Type: research