Organoid forming potential as complementary parameter for accurate evaluation of breast cancer neoadjuvant therapeutic efficacy.

BACKGROUND: 13-15% of breast cancer/BC patients diagnosed as pathological complete response/pCR after neoadjuvant systemic therapy/NST suffer from recurrence. This study aims to estimate the rationality of organoid forming potential/OFP for more accurate evaluation of NST efficacy. METHODS: OFPs of post-NST residual disease/RD were checked and compared with clinical approaches to estimate the recurrence risk. The phenotypes of organoids were classified via HE staining and ER, PR, HER2, Ki67 and CD133 immuno-labeling. The active growing organoids were subjected to drug sensitivity tests. RESULTS: Of 62 post-NST BC specimens, 24 were classified as OFP-I with long-term active organoid growth, 19 as OFP-II with stable organoid growth within 3 weeks, and 19 as OFP-III without organoid formation. Residual tumors were overall correlated with OFP grades (P < 0.001), while 3 of the 18 patients (16.67%) pathologically diagnosed as tumor-free (ypT0N0M0) showed tumor derived-organoid formation. The disease-free survival/DFS of OFP-I cases was worse than other two groups (Log-rank P < 0.05). Organoids of OFP-I/-II groups well maintained the biological features of their parental tumors and were resistant to the drugs used in NST. CONCLUSIONS: The OFP would be a complementary parameter to improve the evaluation accuracy of NST efficacy of breast cancers.

A data-driven method for syndrome type identification and classification in traditional Chinese medicine.

The efficacy of traditional Chinese medicine (TCM) treatments for Western medicine (WM) diseases relies heavily on the proper classification of patients into TCM syndrome types. The authors developed a data-driven method for solving the classification problem, where syndrome types were identified and quantified based on statistical patterns detected in unlabeled symptom survey data. The new method is a generalization of latent class analysis (LCA), which has been widely applied in WM research to solve a similar problem, i.e., to identify subtypes of a patient population in the absence of a gold standard. A well-known weakness of LCA is that it makes an unrealistically strong independence assumption. The authors relaxed the assumption by first detecting symptom co-occurrence patterns from survey data and used those statistical patterns instead of the symptoms as features for LCA. This new method consists of six steps: data collection, symptom co-occurrence pattern discovery, statistical pattern interpretation, syndrome identification, syndrome type identification and syndrome type classification. A software package called Lantern has been developed to support the application of the method. The method was illustrated using a data set on vascular mild cognitive impairment.

Health-related quality of life in living liver donors after transplantation.

BACKGROUND: Living donor liver transplantation (LDLT) has recently emerged as an effective therapeutic alternative for patients with end-stage liver disease. In the meantime, the health-related quality of life (HRQoL) of the donors is becoming better appreciated. Here we aimed to review the current literature and summarize the effects of liver donation on the long-term HRQoL of living donors. DATA SOURCES: A literature search of PubMed using "donors", "living donor liver transplantation", "health-related quality of life", and "donation" was performed, and all the information was collected. RESULTS: The varied postoperative outcomes of liver donors are attributive to the different evaluation instruments used. On the whole, donors experienced good long-term physical and mental well-being with a few complaining of compromised quality of life due to mild symptoms or psychiatric problems. The psychosocial dimension has received increasing attention with the vocational, interpersonal and financial impact of liver donation on donors mostly studied. CONCLUSIONS: Generally, donors have a good HRQoL after LDLT. Nevertheless, to achieve an ideal donor outcome, further work is necessary to minimize the negative effects as well as to incorporate recent progress in regenerative medicine.