Small intestinal metastasis in a lung adenocarcinoma patient with concurrent EML4-ALK V3 and TP53 mutations after distinct responses to tyrosine kinase inhibitors: A case report.

Background: Although anaplastic lymphoma kinase tyrosine kinase inhibitors (ALK-TKIs) have improved the survival rates of lung cancer patients with ALK fusion mutations, their effectiveness varies significantly across different subtypes. We report a case of small intestine metastasis in a lung adenocarcinoma patient with co-occurring echinoderm microtubule-associated protein-like 4 (EML4)-ALK fusion variant 3 (V3) and tumor protein 53 (TP53) mutations after distinct responses to ALK-TKIs. Case presentation: A 45-year-old woman was diagnosed with stage IV lung adenocarcinoma with brain metastasis. Next-generation sequencing revealed EML4-ALK V3 and TP53 co-mutations. After the initial treatment with ensartinib, the patient experienced intracranial disease progression. Radiation therapy (RT) was then administered. Despite good response to RT for the intracranial disease, the primary tumor enlarged. Thus, the patient was treated with oral ensartinib concurrent with chemotherapy, with a partial response in both the primary tumor and intracranial metastases. However, after three cycles of treatment, the patient discontinued chemotherapy because of acute kidney injury. Subsequent thoracic RT resulted in a partial response of the primary tumor; however, new brain and bone metastases were detected, prompting a switch to lorlatinib. The patient developed symptoms of intestinal obstruction 14 months after the initial diagnosis. Surgical intervention revealed a poorly differentiated metastatic lung adenocarcinoma of the upper jejunum. Genetic testing confirmed EML4-ALK V3 and TP53 co-mutations and high expression of programmed cell death-ligand 1. Despite pembrolizumab treatment, the patient's condition deteriorated, and she passed away. Conclusion: We reported a rare case of small intestinal metastasis in a lung adenocarcinoma patient with concurrent EML4-ALK V3/TP53 mutations after distinct responses to ALK-TKIs in different lesions. Our findings revealed heterogeneity in ALK mutations and responses to ALK-TKIs, necessitating the close monitoring of genetic subtypes and associated mutations for tailored treatment strategies. Maintaining a heightened awareness of potential intestinal metastasis and vigilance in monitoring intestinal symptoms and abdominal metastases are pivotal for managing advanced lung adenocarcinoma.

Measurement of Hounsfield units on proximal femur computed tomography for predicting regional osteoporosis.

OBJECTIVE: This study was designed to investigate the use of proximal femoral Hounsfield units (HU) in conventional abdominal and pelvic computed tomography (CT) to predict hip osteoporosis by coupling with data from quantitative CT (QCT). METHODS: In this study, 315 patients who underwent routine abdominal and pelvic CT with the proximal femur included in the scanning range were also subjected to QCT of the proximal femur. Pearson correlation test was performed to analyze the correlations of the femoral head, femoral neck, proximal femur, and femoral trochanter CT HU with the femoral neck, femoral trochanter, and intertrochanteric femur bone mineral density (BMD) values from QCT. The diagnostic performance of CT HU measurement of the proximal femur for osteoporosis was analyzed using receiver operating characteristic (ROC) curves. RESULTS: The CT HU of the proximal femur showed the highest correlation with the BMD value of the hip (r = 0.826; p < 0.01). The mean CT HU of the proximal femur differed significantly (all p < 0.01) for the three QCT-defined BMD categories of osteoporosis (192.23 HU vs. 188.71), of osteopenia (247.86 HU vs. 248.36 HU), and of normal individuals (308.13 HU vs. 310.41 HU) in left and right sides, respectively. In the ROC curve analysis, the area under the ROC curve values to predict osteoporosis in the left and right proximal femurs were 0.942 and 0.941, respectively. CONCLUSION: The CT HU of the proximal femur was significantly associated with the BMD value of the hip measured by QCT. The CT HU of the proximal femur is highly effective in diagnosing osteoporosis and could be used for hip osteoporosis screening.

Effects of tai chi on lower-limb myodynamia in the elderly people: a meta-analysis.

OBJECTIVE: To assess the effects of Tai Chi (Chinese shadow boxing exercise) for improving the lower-limb muscle strength in elderly people. METHODS: The PUBMED database (from 1950), EMBASE-ASP database (from 1974), Cochrane Library (from 1991), Elsevier sciences database (from 1990), OVID full text database (from 1997), Springer-link database (from 1997), The National Research Register database, ISI Web of knowledge (from 1963), Chinese Medical Citation Index/Chinese Medical Current Contents (CMCI/CMCC, from 1989), China Knowledge Resource Integrated Database (CNKI, from 1915), VIP database (from 1989), and Wanfang database (from 1977) have been searched only for the English and Chinese literatures updated to 10-30-2010. Two researchers independently assessed the methodological quality of studies, extracted and checked the data one another according to the include/exclude standards. Disagreement was resolved by discussions or with the third person. The Review Manage Software 5.0 was used for Meta-analysis. RESULTS: Eventually, 2 randomized controled studies and 2 non-randomized controled studies met the inclusion criteria, with 163 subjects involved in the present meta-analysis. The meta-analysis demonstrated that Tai Chi exercise could improve the ankle flexor/extensor muscle strength and the knee extensor/flexor muscle strength, tested with an isokinetic dynamometer. The limb muscle strength increased significantly after Tai Chi exercise (P < 0.01). CONCLUSION: The meta-analysis favours Tai Chi exercise for improving the lower-limb muscle strength in the older people.

Radiomics Based on Lumbar Spine Magnetic Resonance Imaging to Detect Osteoporosis.

RATIONALE AND OBJECTIVES: Signal intensity of the lumbar spine in magnetic resonance imaging (MRI) correlates to bone mineral density (BMD). This study aims to explore a lumbar spine magnetic resonance imaging based on the radiomics model for detecting osteoporosis. MATERIALS AND METHODS: A total of 109 patients, who underwent both dual-energy X-ray absorptiometry (DEXA) and MRI of the lumbar spine, were recruited. Among these patients, 38 patients were normal, 32 patients had osteopenia, and 39 patients had osteoporosis, according to the DEXA results. A total of 396 × 2 radiomic features were extracted from the T1WI and T2WI images of the segmentation images in the lumbar magnetic resonance imaging. The correlated radiomic features were selected to establish the radiomic classification model. Then, the classification models (based on T1WI, T2WI, and T1WI+T2WI) of normal vs. osteopenia, normal vs. osteoporosis, and osteopenia vs. osteoporosis were established. The performance of the classification models was evaluated through the estimated area under the receiver operating characteristic curve. RESULTS: The area under the receiver operating characteristic curves based on T1WI, T2WI, and T1WI+T2WI were 0.772, 0.772, and 0.810, respectively, for the models of normal vs. osteopenia, 0.724, 0.682, and 0.797, respectively, for the models of normal vs. osteoporosis, and 0.730, 0.734, and 0.769, respectively, for the models of osteopenia vs. osteoporosis. CONCLUSION: Radiomic models established based on lumbar spine MRI can be used to detect osteoporosis.

Prognostic Value of Long Noncoding RNA SPRY4-IT1 on Survival Outcomes in Human Carcinomas: A Systematic Review and Meta-Analysis with TCGA Database.

BACKGROUND: Emerging evidences have shown that long noncoding RNA SPRY4-IT1 can be aberrantly expressed in human cancers, and it could be an unfavorable prognostic factor in cancer patients. However, the prognostic mechanism of SPRY4-IT1 is still unclear. This study is aimed at evaluating its potential predictive value for cancer prognosis. METHODS: We thoroughly searched PubMed, Embase, Web of Science, and MEDLINE databases so as to explore the relationship between SPRY4-IT1 expression and cancer prognosis value. Then, TCGA datasets were used to validate the results of our meta-analysis. RESULTS: In all, seventeen studies involving 1650 patients were included in this meta-analysis. Pooled results showed that high expression of SPRY4-IT1 was significantly correlated with poor OS (HR = 1.96, 95% confidence interval (CI) = 1.47-2.62, P < 0.001) in cancer patients. Furthermore, exploration of TCGA dataset further validated that SPRY4-IT1 was aberrantly expressed in various cancers, which partially confirmed our results in this meta-analysis. CONCLUSIONS: The present systematic review and meta-analysis implicated that the aberrant expressions of lncRNA SPRY4-IT1 were strongly associated with clinical survival outcomes in various cancers and therefore might serve as a promising biomarker for predicting prognosis of human cancers.