Ki67 labeling index (Ki67 LI), the percentage Ki67 immunoreactive cells, is a measure of tumor proliferation, with important clinical relevance in breast cancer, and it is extremely important to standardize its evaluation.

Ki67 and MIB1 monoclonal antibodies are directed against different epitopes of the same proliferation-related antigen. Whereas Ki67 works only on frozen sections, MIB1 may be used also on fixed sections. The authors immunostained a series of 40 breast carcinomas with MIB1 and Ki67 antibodies on serial frozen sections and on fixed material. The Ki67 labeling index (LI) was 12.9 ± 8.9 and 12 (mean ± SD and median, respectively). MIB1 LI was 21.2 ± 11.9 and 19.5 on frozen sections and 24 ± 15.2 and 21.5 on fixed sections (mean ± SD and median, respectively). Ki67 LI and MIB1 LI on frozen and fixed sections were strictly correlated (P < .001). The results are in keeping with the reported coincidental nuclear staining pattern of Ki67 and MIBI, but the mean and median values of MIBI LI are almost twice the values of Ki67 LI. The cut-off values to define high and low proliferative activity with the two antibodies are therefore different. The differences in immunolabeling may be due to better survival of the MIBI epitope in freezing and acetone fixation or to differing accessibilities of the MIBI and Ki67 epitopes during the cell cycle due to molecular conformational modifications. The MIBI monoclonal antibody is a reasonable substitute for the Ki67 monoclonal antibody. The advantages of MIBI immunostaining on paraffin sections include the feasibility of retrospective studies and of obtaining clear morphologic specimens that are optimal for use with computer-assisted image analysis systems. Our image-processing system allows automatic nuclear counting, detects positive nuclei and measures their staining intensity.

Background: The potential benefits of the introduction of electronic and mobile health (mHealth) information technologies, to support the safe delivery of intravenous chemotherapy or oral anticancer therapies, could be exponential in the context of a highly integrated computerized system. Objective: Here we describe a safe therapy mobile (STM) system for the safe delivery of intravenous chemotherapy, and a home monitoring system for monitoring and managing toxicity and improving adherence in patients receiving oral anticancer therapies at home. Methods: The STM system is fully integrated with the electronic oncological patient record. After the prescription of chemotherapy, specific barcodes are automatically associated with the patient and each drug, and a bedside barcode reader checks the patient, nurse, infusion bag, and drug sequence in order to trace the entire administration process, which is then entered in the patient’s record. The usability and acceptability of the system was investigated by means of a modified questionnaire administered to nurses. The home monitoring system consists of a mobile phone or tablet diary app, which allows patients to record their state of health, the medications taken, their side effects, and a Web dashboard that allows health professionals to check the patient data and monitor toxicity and treatment adherence. A built-in rule-based alarm module notifies health care professionals of critical conditions. Initially developed for chronic patients, the system has been subsequently customized in order to monitor home treatments with capecitabine or sunitinib in cancer patients (Onco-TreC). Results: The STM system never failed to match the patient/nurse/drug sequence association correctly, and proved to be accurate and reliable in tracing and recording the entire administration process. The questionnaires revealed that the users were generally satisfied and had a positive perception of the system’s usefulness and ease of use, and the quality of their working lives. The pilot studies with the home monitoring system with 43 chronic patients have shown that the approach is reliable and useful for clinicians and patients, but it is also necessary to pay attention to the expectations that mHealth solutions may raise in users. The Onco-TreC version has been successfully laboratory tested, and is now ready for validation. Conclusions: The STM and Onco-TreC systems are fully integrated with our complex and composite information system, which guarantees privacy, security, interoperability, and real-time communications between patients and health professionals. They need to be validated in order to confirm their positive contribution to the safer administration of anticancer drugs. [J Med Internet Res 2015;17(5):e114]