Objective: To investigate the effect of extensive retraction clefts (RC, >20% of tumor volume) on prognosis in invasive breast carcinoma of no specific type (IBC-NST). Methods: A total of 2 184 cases of IBC-NST diagnosed at the Fourth Hospital of Hebei Medical University from January 2006 to December 2008 were collected. All the cases were diagnosed according to the latest guideline and standard. After excluding cases of shrinkage due to tissue fixation, 483 cases with RC were identified, and the clinical and pathological features were retrospectively analyzed. Results: Among the 483 cases, the mean tumor size was 2.0 cm (range 0.8 to 4.8 cm). Two hundred and thirty-two cases were moderately differentiated (48.0%), 97 were well differentiated (20.1%), 154 were poorly differentiated (31.9%); 382 (79.1%) cases were of stages Ⅰ and Ⅱ. A total of 177 cases (36.7%) had lymphatic invasion; nodal metastasis were found in 202 cases (41.8%). Extensive RC was found in 237 of 483 cases (49.1%). Follow-up information was available in 407 patients, and 46 died of breast cancer with survival time from 37 to 103 months. Multivariate analysis of extensive RC showed that tumor size, histological grade and nodal metastasis were risk factors of patients with IBC-NST (P<0.05). Lymphatic invasion and nodal metastasis were risk factors for extensive RCs in patients with IBC-NST (P<0.05). There was a high probability of lymph node metastasis in patients of extensive RC without lymphatic invasion, and the difference was statistically significant (P<0.05). Conclusions Both lymphatic invasion and nodal metastasis are risk factors of extensive RC. The presence of extensive RC in IBC-NST patients is correlated with poor outcome. Tumors with lymphatic invasion are more likely to show extensive RC.

Objective: To summarize the clinical characteristics and identify gene mutations of 2 probands with Rubinstein-Taybi syndrome (RSTS). Methods: Clinical characteristics of 2 probands with Rubinstein-Taybi syndrome were summarized. Genomic DNA was extracted from peripheral blood samples from the patients and their parents. Genomic DNA was subjected to whole exome next generation sequencing. Suspected variants were confirmed by Sanger sequencing. Results: The two patients were characterized by typical facial features, broad thumbs and big toes, intellectual disability, and postnatal growth retardation. Two variants of the CREBBP gene, namely c. 3779+ 1G>A and c. 5052_c.5053insT, were respectively identified in the 2 patients. Among these, c. 3779+ 1G>A was a previously known pathological mutation, while c. 5052_c.5053insT was unreported previously. Both variants were predicted to be pathological. Conclusion Two cases of Rubinstein-Taybi syndrome were diagnosed, which facilitated the diagnosis and genetic counselling.

Objective:To describe the trends of loss of muscle fiber thickness of the arm and calf.Methods:From April 2019 to July 2019, 58 patients admitted to ICU of Qinghai Provincial People's Hospital were enrolled. During ICU stay, the muscle fiber thickness in bilateral upper arm (biceps brachii) and bilateral calf (gastrocephus muscle) were measured by bedside color ultrasound every day.Results:The muscle fiber thickness of biceps and gastrocnemius on the left and right were (1.52 ± 0.37), (1.50 ± 0.34), (1.53±0.39), (1.51 ± 0.37) mm, respectively. The thickness of muscle fibers were (1.45 ± 0.35), (1.46 ± 0.37), (1.44±0.33), (1.41 ± 0.32) mm, which were significantly decreased in 48 h admitted to ICU ( t values were 2.106-4.711, P<0.05 or 0.01); and (1.43 ± 0.36), (1.44 ± 0.36), (1.44±0.32), (1.39 ± 0.32) mm in 72 h, which were significantly decreased than 24 h admitted to ICU ( t values were2.029-4.504, P<0.05 or 0.01). During 1 week admission to ICU , the muscle fiber thickness showed a continuous trend of decline, and the muscle fiber thickness of the left biceps, right biceps, left gastrocnemius and right gastrocnemius decreased by 8.38% (0.13/1.55), 10.19% (0.16/1.57), 9.87% (0.15/1.52), 11.11% (0.17/1.53), respectively compared with the ICU admission. The muscle fiber thickness of the left biceps, right biceps, left gastrocnemius and right gastrocnemius decreased by 9.87% (0.15/1.52), 9.33% (0.14/1.50), 9.15% (0.14/1.53), 11.26% (0.17/1.51), respectively. Conclusion:Muscle attenuation can be observed within 48h after ICU entry, and it tends to decrease with the extension of the length of hospital stay.

OBJECTIVE: To summarize the clinical characteristics and identify gene mutations of 2 probands with Rubinstein-Taybi syndrome (RSTS). METHODS: Clinical characteristics of 2 probands with Rubinstein-Taybi syndrome were summarized. Genomic DNA was extracted from peripheral blood samples from the patients and their parents. Genomic DNA was subjected to whole exome next generation sequencing. Suspected variants were confirmed by Sanger sequencing. RESULTS: The two patients were characterized by typical facial features, broad thumbs and big toes, intellectual disability, and postnatal growth retardation. Two variants of the CREBBP gene, namely c.3779+1G>A and c.5052_c.5053insT, were respectively identified in the 2 patients. Among these, c.3779+1G>A was a previously known pathological mutation, while c.5052_c.5053insT was unreported previously. Both variants were predicted to be pathological. CONCLUSION Two cases of Rubinstein-Taybi syndrome were diagnosed, which facilitated the diagnosis and genetic counselling.
CREB-Binding Protein ; genetics ; Genetic Testing ; High-Throughput Nucleotide Sequencing ; Humans ; Phenotype ; Rubinstein-Taybi Syndrome ; genetics

OBJECTIVETo analyze the clinical features and potential mutations of the SLC25A13 gene in a boy affected with neonatal intrahepatic cholestasis.

METHODSClinical data and peripheral venous blood sample of the child, and peripheral venous blood samples of both parents, were collected. All coding exons of the SLC25A13 gene were amplified with PCR and subjected to direct DNA sequencing.

RESULTSThe boy was found to be a compound heterozygote carrying c.851_854delGTAT and IVS16ins3kb mutations of the SLC25A13 gene, which were respectively inherited from his mother and father.

CONCLUSIONBased on its clinical and genetic features, the patient was diagnosed with neonatal intrahepatic cholestasis caused by citrin deficiency.

Base Sequence ; Cholestasis, Intrahepatic ; etiology ; genetics ; Citrullinemia ; complications ; DNA Mutational Analysis ; Family Health ; Female ; Heterozygote ; Humans ; Infant ; Infant, Newborn ; Male ; Mitochondrial Membrane Transport Proteins ; genetics ; Mutagenesis, Insertional ; Mutation ; Sequence Deletion

Objective:To establish an ultrasound radiomics model by integrating clinical, pathological, and conventional ultrasound features with radiomics characteristics, and to explore its clinical value in predicting endocrine resistance in hormone receptor(HR)-positive breast cancer.Methods:A retrospective analysis was performed on 478 patients with HR-positive breast cancer from January 2017 to December 2021 in the Second Affiliated Hospital of Harbin Medical University, of which 430 were resistant and 48 were sensitive. The clinical, pathological and immunohistochemical data and ultrasound images were collected.Firstly, the propensity score was used to process and match the data. Secondly, Logistic regression was used to screen clinical, pathological, and conventional ultrasound features associated with endocrine resistance. Then, PyRadiomics was used to extract the radiomic features of grayscale ultrasound images, and a series of methods such as Lasso regression were used to screen the radiomic features related to endocrine resistance. Seven machine learning methods such as random forest were used to build a radiomics model. Finally, clinical, pathological and ultrasound features were added to establish a clinical pathological model, a clinical pathological ultrasound model, a clinical pathological radiomics model and a combined model of the four features, and the model effectiveness was evaluated.Results:①Propensity score matching: 96 patients were matched, including 48 patients in the drug-resistant group and 48 patients in the sensitive group. ②Screening clinical pathological conventional ultrasound features related to endocrine resistance: lymph node metastasis, tumor diameter, posterior echo attenuation, and growth orientation were independent predictors of endocrine resistance (all P<0.05). ③Screening radiomics features related to endocrine resistance: 18 features such as Dependence Entropy. ④Establishing radiomics model: the machine learning model of random forest method (AUC=0.80) performed best. ⑤Radiomics model integrating clinical, pathological and conventional ultrasound features: the AUC of the clinical pathological model was 0.70, the AUC of the clinical pathological ultrasound model was 0.78, the AUC of the clinical pathological radiomics model was 0.82, and the AUC of the combined model was 0.86. Conclusions:The radiomics model established by the random forest method performs best in predicting endocrine resistance in HR-positive breast cancer. The model that integrates multiple features performs best in assessing endocrine resistance.which is expected to provide an objective basis for clinicians to predict endocrine resistance in HR-positive breast cancer.