Objective To study the expressions of Delta-like ligand 4 （DLL4） and S100A4 in breast carcinoma of differect molecular subtypes and explore its clinical significance. Methods The expressions of DLL4 and S100A4 in all molecular subtypes were tested by SP immunohistochemistry in 108 cases of breast carcinoma and 40 cases of paracancerous tissues from Taihe Hospital. The Luminal A， Lumianl B， HER-2 over-expression， and basal-like subtypes was 51， 26， 17， and 14 cases， respectively. Then the correlation of DLL4 and S100A4 expression with patients’ clinical and pathological features were analyzed. Results The positive expression rates of DLL4 and S100A4 in breast carcinoma was 67.6%（73/108）and 62.0%（67/108）respectively， which were significantly higher than those in paracancerous tissues〔22.5%（9/40） and 45.0%（18/40）〕， P＜0.05. The positive expression rates of DLL4 and S100A4 in breast carcinoma tissues of HER-2 over-expression and basal-like subtypes were significantly higher than those in breast carcinoma tissues of Luminal A and Luminal B subtypes （P＜0.05）. The expressions of DLL4 and S100A4 in breast carcinoma tissues with lymph node metastasis and without lymph node metastasis were significantly different（P＜0.05）. There was positiver elationship between the expressions of DLL4 and S100A4 in breast carcinoma tissues（rs=0.217，P＜0.01）. Conclusions DLL4 and S100A4 are highly expressed in breast carcinoma tissues of HER-2 over-expression and basal-like subtypes， and are all related with prognosis of breast carcinoma. These results suggest that they might be important factors in breast carcinogenesis and tumor development， metastasis. These proteins are indicators of metastasis and predictors for prognosis of breast carcinoma.
Objective To investigate the prognostic differences and decision-making role in postoperative radiotherapy of four molecular subtypes in pT1-2N1M0 stage breast cancer. Methods The clinicopathological data of 1526 patients with pT1-2N1M0 breast cancer treated at West China Hospital of Sichuan University between 2008 and 2018 were retrospectively analyzed. χ2 test was used to compare the clinicopathological features among patients with different molecular subtypes. Kaplan-Meier survival analysis and log-rank test were used to draw the survival curves and compare the overall survival (OS) and breast cancer-specific survival (BCSS) among patients with different molecular subtypes. Cox regression model was used to determine the influencing factors of OS of patients after radical mastectomy. Results Among the 1526 patients with pT1-2N1M0 breast cancer, there were 674 cases (44.2%) of Luminal A subtype, 530 cases (34.7%) of Luminal B subtype, 174 cases (11.4%) of human epidermal growth factor receptor 2 (Her-2) overexpression subtype, and 148 cases (9.7%) of triple-negative subtype. The 5-year OS rates of Luminal A, Luminal B, Her-2 overexpression and triple negative patients were 98.6%, 94.3%, 95.5% and 91.2%, respectively (χ2=11.712, P=0.001), and the 5-year BCSS rates were 99.3%, 94.6%, 95.5% and 92.5%, respectively (χ2=18.547, P<0.001). Multiple Cox regression analysis showed that menstrual status [hazard ratio (HR)=0.483, 95% confidence interval (CI) (0.253, 0.923), P=0.028] and whether endocrine therapy [HR=2.021, 95%CI (1.012, 4.034), P=0.046] were prognostic factors for the 5-year OS rate of breast cancer patients after radical mastectomy (P<0.05). However, it failed to reveal that Luminal subtypes and postoperative radiotherapy were prognostic factors for the 5-year OS rate (P>0.05). Conclusions In pT1-2N1M0 breast cancer patients, the 5-year OS rate and 5-year BCSS rate in triple-negative patients are the lowest. The relationship between Luminal classification, postoperative radiotherapy and survival in patients after radical mastectomy needs further study in the future.
ObjectiveTo evaluate the application value of three-dimensional (3D) reconstruction in preoperative surgical diagnosis of new classification criteria for lung adenocarcinoma, which is helpful to develop a deep learning model of artificial intelligence in the auxiliary diagnosis and treatment of lung cancer.MethodsThe clinical data of 173 patients with ground-glass lung nodules with a diameter of ≤2 cm, who were admitted from October 2018 to June 2020 in our hospital were retrospectively analyzed. Among them, 55 were males and 118 were females with a median age of 61 (28-82) years. Pulmonary nodules in different parts of the same patient were treated as independent events, and a total of 181 subjects were included. According to the new classification criteria of pathological types, they were divided into pre-invasive lesions (atypical adenomatous hyperplasia and and adenocarcinoma in situ), minimally invasive adenocarcinoma and invasive adenocarcinoma. The relationship between 3D reconstruction parameters and different pathological subtypes of lung adenocarcinoma, and their diagnostic values were analyzed by multiplanar reconstruction and volume reconstruction techniques.ResultsIn different pathological types of lung adenocarcinoma, the diameter of lung nodules (P<0.001), average CT value (P<0.001), consolidation/tumor ratio (CTR, P<0.001), type of nodules (P<0.001), nodular morphology (P<0.001), pleural indenlation sign (P<0.001), air bronchogram sign (P=0.010), vascular access inside the nodule (P=0.005), TNM staging (P<0.001) were significantly different, while nodule growth sites were not (P=0.054). At the same time, it was also found that with the increased invasiveness of different pathological subtypes of lung adenocarcinoma, the proportion of dominant signs of each group gradually increased. Meanwhile, nodule diameter and the average CT value or CTR were independent risk factors for malignant degree of lung adenocarcinoma.ConclusionImaging signs of lung adenocarcinoma in 3D reconstruction, including nodule diameter, the average CT value, CTR, shape, type, vascular access conditions, air bronchogram sign, pleural indenlation sign, play an important role in the diagnosis of lung adenocarcinoma subtype and can provide guidance for personalized therapy to patients in clinics.
Objective To study the relationships between expressions of somatostatin receptor subtypes（SSTR1-SSTR5） and angiogenesis in colorectal cancer. Methods The expressions of SSTR1-SSTR5, VEGF, and CD34 in the paraffin sections of colorectal cancer tissues from 127 cases were detected by the standard streptavidin-peroxidase (SP) technique. CD34 was used as a marker to account microvessel density (MVD) in colorectal cancer tissues. The relationships between the expressions of SSTR1-SSTR5 and VEGF expression, or MVD were analyzed. Results The positive expression rate of SSTR1, SSTR2, SSTR3, SSTR4, and SSTR5 was 64.6% （82/127）, 36.2% （46/127）, 18.9% （24/127）, 18.9% （24/127）, and 38.6% （49/127） in colorectal cancer tissues, meanwhile, the positive expression rate of VEGF was 63.8% （81/127） and MVD was (34.67±16.62)/HP in colorectal cancer tissues. The positive expression rate of VEGF (47.8%， 22/46) and MVD 〔(29.00±15.32)/HP〕 in colorectal cancer tissues with SSTR2 positive expression were significantly lower than those in colorectal cancer tissues with SSTR2 negative expression 〔72.8%， 59/81； (37.90±16.56)/HP〕, Plt;0.05. There were no relationships between SSTR1, SSTR3, SSTR4, and SSTR5 expression and VEGF expression or MVD （Pgt;0.05）. Conclusion The positive expression of SSTR2 is related with angiogenesis in colorectal cancer tissues.
ObjectiveTo evaluate the value of imaging quantification parameters in artificial intelligence (AI) assisted diagnosis systems in clinical decision-making for lung nodules≤2 cm and the diagnostic efficacy of AI. MethodsLung nodule patients admitted to Affiliated Zhongshan Hospital of Dalian University from 2020 to 2023 were included. Imaging parameters of lung nodules were extracted using AI assisted diagnosis systems. Multifactor analysis was used to screen predictors for distinguishing benign and malignant nodules and high-risk predictors for recurrent invasive adenocarcinoma, and a diagnostic model was established and its performance evaluated. The diagnostic efficacy of the AI system was judged according to pathological results. ResultsA total of 594 patients with lung nodules were included, including 202 males and 392 females, with an average age of (58.75±11.55) years. Volume, average CT value, and 3D maximum diameter of non-solid nodules were independent predictors of malignant nodules, with thresholds of 287.4 mm3, −491 HU, and 12.0 mm, respectively. The area under the curve (AUC) for diagnostic efficacy was ranked from high to low as combined model (0.802), volume (0.783), average CT value (0.749), and 3D maximum diameter (0.714). The average CT value and 3D long diameter of solid nodules were independent predictors of malignant nodules, with thresholds of −81 HU and 17.5 mm, respectively, and AUC values of 0.874 and 0.686, respectively, with the combined prediction AUC of 0.957. The mass of cystic nodules was an independent predictor of malignancy when the mass>180.7 mg. Independent predictors of high recurrence risk of invasive adenocarcinoma in non-solid nodules were consolidation-tumor ratio (CTR), average CT value, 3D long diameter, and volume, with thresholds of 0.14, −386 HU, 15.6 mm, and 1018.9 mm3, respectively, and diagnostic efficacy was ranked from high to low as combined model (0.788), 3D long diameter (0.735), volume (0.725), average CT value (0.720), and CTR (0.697). The accuracy of AI in predicting benign and malignant target nodules was 87.4%, with positive predictive value of 96.6% and negative predictive value of 58.9%. ConclusionIn clinical decision-making for lung nodules ≤2 cm, AI assisted diagnosis systems have high application value.
Lung adenocarcinoma has become the most common type of lung cancer. According to the 2015 World Health Organization histological classification of lung cancer, invasive lung adenocarcinoma can be divided into 5 subtypes: lepidic, acinar, papillary, solid, and micropapillary. Relevant studies have shown that the local lobectomy or sublobectomy is sufficient for early lepidic predominant adenocarcinoma, while lobectomy should be recommended for tumors containing micropapillary and solid ingredients (≥5%). Currently, the percentage of micropapillary and solid components diagnosed by frozen pathological examination is 65.7%, and the accuracy of diagnosis is limited. Therefore, to improve the accuracy of diagnosis, it is necessary to seek new methods and techniques. This paper summarized the characteristics and rapid diagnosis tools of early lung adenocarcinoma subtypes.
ObjectiveTo investigate the association between the baseline 18F-FDG PET/CT SUVmax and histological subtypes of ≤2 cm early peripheral lung adenocarcinoma (cN0).MethodsWe retrospectively reviewed the clinical data of consecutive patients who received baseline 18F-FDG PET/CT and underwent anatomic lung resection for ≤2 cm early peripheral lung adenocarcinoma from 2011 to 2014 in our institute.ResultsA total of 195 patients were enrolled in this study, including 86 males and 109 females, with an average age of 59.96±9.19 years. Twenty-two patients were pathologically confirmed with lymph node metastasis. One hundred and fifty-seven patients were in the subtype group 1, which included lepidic, acinar, and papillary predominant tumors. Thirty-eight patients were in the subtype group 2, which included solid and micropapillary predominant tumors. The 5-year survival rate was 79.0% and 58.0% in the subtype group 1 and subtype group 2, respectively (P=0.006). The median SUVmax was 2.00 (0.30-13.10) and 4.15 (1.20-17.90) in the subtype group 1 and subtype group 2, respectively (P=0.000). Logistic regression suggested that baseline SUVmax≥2.5 was an independent risk factor for the subtype group 2 (OR=6.635, 95%CI 2.510-17.545, P=0.000). The receiver operating characteristic curve suggested that the continuous SUVmax had an moderate predictive value for subtypes (area under the curve was 0.792, 95%CI 0.717-0.866).ConclusionBaseline 18F-FDG PET/CT SUVmax has certain predictive value for histological subtypes of ≤2 cm early peripheral lung adenocarcinoma.
ObjectiveTo analyze the relative factors of lymph-nodes metastasis (LM) in patients with cervical cancer. MethodsThe clinico-pathological data of 136 patients with stageⅠ A-Ⅱ A of cervical cancer who underwent surgical therapy from January 2005 to December 2010 were retrospectively analyzed. The correlation between clinico-pathological parameters and LM was analyzed by univariable χ2 analysis and multivariable logistic analysis. ResultsThe total LM rate (LMR) was 14.0% (19/136). The rate of LM in obturator was the highest (63.2%), and then the rate between the external and internal iliac was 42.1%. The rate of deep inguinal lymph nodes and para-aortic lymph node was 0.0%. There was correlation between the clinic staging, depth of stromal invasion, histologic subtype, parametrial invasion, vaginal invasion and LM in univariable analysis (P<0.05). While in multivariable analysis, the correlation with LM was only existed between the clinic staging, histologic subtype, depth of stromal invasion and LM. ConclusionClinic staging, histologic subtype, depth of stromal invasion are high risk factors of LM.
Objective To explore the correlation between lymph node metastasis and clinicopathological features of lung adenocarcinoma with diameter≤3 cm. Methods The clinicopathologic data of the patients with lung adenocarcinoma≤3 cm in diameter were retrospectively analyzed. The relationship between lymph node metastasis and age, gender, smoking history, pathological subtype, tumor location, tumor diameter, pleural invasion, vascular invasion and other factors was analyzed. The risk factors of lymph node metastasis were analyzed by univariate and multivariate logistic regression. Results Finally 1 718 patients were collected, including 697 males and 1 021 females with an average age of 58.89±9.85 years. The total lymph node metastasis rate was 12.9%, among whom 452 patients of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) did not have lymph node metastasis, and the lymph node metastasis rate of invasive lung adenocarcinoma was 17.5%. Multivariate analysis showed that tumor diameter, micropapillary subtype, solid subtype, micropapillary component, solid component, vascular invasion and pleural invasion were independent risk factors for lymph node metastasis of invasive lung adenocarcinoma with diameter≤3 cm (P<0.05). While age, lepidic subtype and lepidic component were independent protective factors for lymph node metastasis (P<0.05). Conclusion Clinicopathological features can help predict lymph node metastasis of lung adenocarcinoma with diameter≤3 cm.
Objective To explore the white matter microstructural abnormalities in patients with different subtypes of attention-deficit/hyperactivity disorder (ADHD) and establish a diagnostic classification model. Methods Patients with ADHD admitted to West China Hospital of Sichuan University between January 2019 and September 2021 and healthy controls recruited through advertisement were prospectively selected. All participants underwent diffusion tensor imaging scanning. The whole brain voxel-based analysis was used to compare the diffusion parameter maps of fractional anisotropy (FA) among patients with combined subtype of ADHD (ADHD-C), patients with inattentive subtype of ADHD (ADHD-I) and healthy controls. The support vector machine classifier and feature selection method were used to construct the individual ADHD diagnostic classification model and efficiency was evaluated between each two groups of the ADHD patients and healthy controls. Results A total of 26 ADHD-C patients, 24 ADHD-I patients and 26 healthy controls were included. The three groups showed significant differences in FA values in the bilateral sagittal stratum of temporal lobe (ADHD-C<ADHD-I<healthy controls) and the isthmus of corpus callosum (ADHD-C>ADHD-I>healthy controls) (P<0.005). The direct comparison between the two subtypes of ADHD showed that ADHD-C had higher FA than ADHD-I in the right middle frontal gyrus. The classification model differentiating ADHD-C and ADHD-I showed the highest efficiency, with a total accuracy of 76.0%, sensitivity of 88.5%, and specificity of 70.8%. Conclusions There is both commonality and heterogeneity in white matter microstructural alterations in the two subtypes of patients with ADHD. The white matter damage of the sagittal stratum of temporal lobe and the corpus callosum may be the intrinsic pathophysiological basis of ADHD, while the anomalies of frontal brain region may be the differential point between different subtypes of patients.