Background: Breast cancer (BC) is the most common malignant tumors and the leading cause of cancer deaths among women. The early diagnosis and treatment of BC are effective measures that can increase survival rates and reduce mortality. Carbohydrate antigens 15-3 (CA15-3) and carcinoma embryonic antigens (CEA) have been regarded as the most two valuable tumor markers of BC. The combined detection of CA15-3 and CEA could improve the sensitivity and accuracy of early diagnosis for BC.
Methods: The multi-channel double-gate silicon nanowire field effect transistor (SiNW-FET) biosensors were fabricated by using the top-down semiconductor manufacturing technology. By surface modification of the different SiNW surfaces with monoclonal CA15-3 and CEA antibodies separately, the prepared SiNW-FET was processed into biosensor for dual-channel detection of CA15-3 and CEA.
Results: The prepared SiNW-FET biosensors were proved to have high sensitivity and specificity for the dual-channel detection of CA15-3 and CEA, and the detection limit is as low as 0.1U/mL CA15-3 and 0.01 ng/mL CEA. Moreover, the SiNW-FET biosensors were able to detect CA15-3 and CEA in serum by connecting a miniature hemodialyzer.
Conclusion: The present study reported a SiNW-FET biosensor for dual-channel detection of breast cancer biomarkers CA15-3 and CEA in serum, which has potential clinical application value for the early diagnosis and curative effect observation of BC.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758920 | PMC |
http://dx.doi.org/10.2147/IJN.S391234 | DOI Listing |
Explor Target Antitumor Ther
January 2025
Department of Medical Biochemistry, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia.
Aim: Breast cancer (BC), a disease in which abnormal breast cells grow out of control and form tumors, is a prevalent life-threatening disease worldwide. Oxidative stress has been implicated in the development and progression of various cancers, including BC. Assessing lipid peroxidation and overall antioxidant status in BC offers valuable information on disease progression, patient prognosis, and the effectiveness of therapeutic options.
View Article and Find Full Text PDFFood Chem Toxicol
January 2025
Zoology Department, Faculty of Science, Al-Azhar University, 71524, Assuit, Egypt.
This study aimed to define the antitumor effect of ethanolic extract of Pistacia vera leaves (PEE) toward breast cancer both in vitro and in vivo using dimethyl-benz(a)anthracene (DMBA)-induced breast tumor in adult female rats. PEE showed a potent antioxidant effect toward both DPPH (1,1-diphenyl-2-picrylhydrazyl) and ABTS (2,2'-azino-bis(3-ethylbenzthiazoline-6-sulphonic acid) radicals with IC values of 72.6 and 107.
View Article and Find Full Text PDFBMC Pulm Med
November 2024
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
J Nanobiotechnology
November 2024
Clinical Medical Laboratory Center, Gaogang Branch, Taizhou School of Clinical Medicine, Nanjing Medical University, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
Front Oncol
November 2024
Division of Breast Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China.
Background: The prediction of ISLN pCR after neoadjuvant chemotherapy (NAC) based on inflammatory markers and its prognostic value have rarely been investigated.
Methods: Patients diagnosed with ISLN-involved breast cancer who received NAC in West China Hospital between September 2009 and December 2020 were enrolled in the derivation cohort for model construction and survival analysis, and patients with the same criteria between January 2021 and July 2024 were involved in validation cohort for external validation. After randomly dividing patients into training and testing groups at 7:3 ratio, a nomogram predicting ISLN pCR was constructed based on logistic regression in training group.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!