Radiomics enables extraction of innumerable quantitative features from medical images with high-throughput computing for diagnosis and prediction. The practice of radiomics involves image acquisition, identifying and segmenting the volumes of interest, extracting and analyzing of quantitative features, and classification or prediction model development. Compared with traditional visual interpretation of medical images, the deep mining of medical images by computer technology from radiomics makes feature uptake more efficient, relatively objective and rich in feature types. Whereas, radiomic analysis requires high image quality and consistent scan parameters. The features extracted are confined to the segmented area. Radiomics is promising in tumor screening, early diagnosis, accurate grading and staging, treatment and prognosis, molecular characteristics and so on. Combined with traditional visual interpretation of medical images, radiomics is helpful in tumor diagnosis and prediction.

Objective: To estimate lung cancer incidence and mortality in China using population-based cancer registry data in 2014 collected by National Central Cancer Registry of China (NCCRC). Methods: 449 cancer registries submitted cancer registry data in 2014. All datasets were evaluated and 339 registries′ data which met the quality control criteria of NCCRC were analyzed. Numbers of new lung cancer cases and deaths were estimated using calculated incidence and mortality rates and corresponding national population stratified by areas, sexes and age groups. The standard population of Chinese census in 2000 and world Segi′ s population were applied to calculate age-standardized incidence and mortality rates in China and worldwide, respectively. Results: A total of 781, 500 new lung cancer cases were diagnosed in 2014. The crude incidence rate was 57.13 per 100 000 and the age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population (ASIRW) were 36.71 per 100 000 and 36.63 per 100 000, respectively. The cumulative incidence rate (0-74 years old) was 4.50%. Lung cancer was the most common cancer in male (ASIRW: 50.04 per 100 000) and the second most common cancer in female (ASIRW: 23.63 per 100 000). The incidence rates were slightly similar in urban areas and in rural areas (ASIRW: 36.64 per 100 000 vs 36.56 per 100 000). A total of 626 400 lung cancer deaths were reported. The crude mortality rate was 45.80 per 100 000 and the age-standardized mortality rates by Chinese standard population (ASMRC) and by world standard population (ASMRW) were 28.49 per 100 000 and 28.31 per 100 000, respectively. The cumulative mortality rate (0-74 years old) was 3.32%. Lung cancer was the most common cause of cancer deaths both in male (ASMRW: 40.21 per 100 000) and female (ASMRW: 16.88 per 100 000). The mortality rate was slightly higher in rural areas than in urban areas (ASMRW: 28.63 per 100 000 vs 28.04 per 100 000). Both lung cancer incidence and mortality rates increased with age, and the peak age was 80-84 years group. Conclusions The disease burden of lung cancer is heavy in China. Efficient national health policies and prevention and control strategies against lung cancer should be promoted.

Objective: To investigate the roles and anti-cancer mechanism of artificially synthesized EGF-containing fibulin-like extracellular matrix protein (EFEMP1) derived tumor suppressor ZR30 protein in glioma (GBM). Methods: ZR30 protein were in vitro expressed using a wheat germ cell-free system. GBM cell lines (U251, U251NS, and U87) were cultured for 2-3 days in the presence or absence of ZR30 treatment. MMP-2 level was detected by gelatin zymography assay, moreover, the expression of EGFR, Notch-1 and p-Akt/Akt levels were determined by western blot. Additionally, MTT assay was used to measure ZR30′s effect on the cell proliferation of U251 and U251NS cells. Furthermore, pre-mixed U251-GFP and U251NS-RFP cells (1∶9) were injected into the brain of nude mice, and then ZR30 or PBS was injected into the intra-tumor after 10 and 21 days, respectively. Then DNA was extracted from the right brain of nude mice in each group. Comparative quantitative polymerase chain reaction (CQ-PCR) was used to examine the copy numbers of human gene hSPAG16, mouse gene mSpag16, GFP and RFP. The survival status of each group of nude mice was also observed. Results: The levels of activated MMP-2 in U87 and U251 cells were lower after 10, 50 and 100 ng/ml ZR30 treatment for 2-3 days. Western blot analysis showed that ZR30 treatment reduced the expression of EGFR, Notch-1 and p-Akt/Akt in U251 cells, and inhibited Notch-1 and p-Akt/Akt expression in U251NS cells, and then decreased the response of U251 cells to EGF stimulation. Moreover, ZR30 inhibited the cell proliferation of U251 and U251NS two days after exposure. The in vivo orthotopic GBM xenografts were successfully constructed. CQ-PCR results indicated that the hSPAG16/mSpag16 ratios of mice in PBS group and ZR30 treatment groups at 180, 700, and 1 800 ng dosages were 3.67±2.82, 1.18±0.97, 1.75±1.55 and 1.38±1.17, respectively, and ZR30 treatment groups showed significantly lower ratios than the PBS group (P<0.05 for all). Correspondingly, the ratios of GFP/RFP in each group were 1.97±0.80, 1.97±0.85, 1.48±0.71 and 1.73±0.77, respectively, showing no statistical significance (P>0.05 for all). When treatment was performed 10 d after cell implantation, and the median survival time of mice in PBS group and ZR30 group was 40.5 days and 59.0 days, respectively. When treatment was performed 21 d after cell implantation, the median survival time of mice in PBS group and ZR30 group was extended to 57.0 days and 74.5 days, respectively. The median survival time of ZR30 treatment groups significantly prolonged (P<0.05 for all). Conclusions ZR30 inhibits in vitro cell growth, invasion, angiogenesis and stemness maintenance in glioma via suppressing activated MMP-2, EGFR, p-Akt/Akt and Notch-1 proteins. In vivo, ZR30 markedly increased survival of mice harboring glioma xenografts, even for only one intra-tumoral injection at the time of early tumor formation. Overall, the in vivo and in vitro experiments supported the therapeutic potential of ZR30 for GBM.

Objective: To detect the expression level of YES-associated protein 1 (YAP) in hepatocellular carcinoma (HCC) cell lines and investigate its effects on the proliferation activity and the sensitivity to sorafenib in HCC cells. Methods: Western blot was used to detect the protein expression levels of YAP in SMMC-7721, SK-Hep-1, HepG-2, Huh7 and the normal liver cell line L-O2. YAP specific small interfering RNA (si-YAP) or YAP expression plasmid were transfected in SK-Hep-1 or Huh7 cells, respectively. Cell counting kit-8 (CCK-8) test was used to detect the cell proliferation activity and the cell cycle test was conducted by flow cytometry. SK-Hep-1 and SK-Hep-1 si-YAP cells were subcutaneously injected into the nude mice which were sequentially treated by intragastric administration of sorafenib, and the tumor growth in vivo were observed and compared. Results: The expression of YAP was upregulated in HCC cell lines. Deletion of YAP expression significantly decreased the survival rate of SK-Hep-1 cells [(78.5±0.3)% vs (92.3±0.2)%, P=0.025]. Knockdown of YAP significantly increased the percentage of G₀/G₁-phase cells [ (65.4±3.3) % vs (55.7±3.4) %, P=0.039]. On the contrary, upregulation of the YAP expression in Huh7 cells significantly increased the cell survival rate [(81.2±1.3)% vs (62.5±1.1)%, P=0.013] and reduced the percentage of G₀/G₁-phase cells [(38.2±3.8)% vs (48.8±2.9)%, P=0.019]. The survival rate of SK-Hep-1 cells treated by si-YAP combined with sorafenib was (31.13±1.79)%, significantly lower than (48.87±0.58) % of SK-Hep-1 cells treated by sorafenib alone (P=0.001), while overexpression of YAP attenuated the inhibitory effect of sorafenib on the survival of Huh7 cells [(69.98±2.94) % vs (53.53±1.93)%, P=0.001]. The tumor weights of SK-Hep-1 group, sorafenib alone group, SK-Hep-1 si-YAP group and SK-Hep-1 si-YAP combined with sorafenib group were (0.96±0.08) g, (0.62±0.08) g, (0.70±0.06) g and (0.27±0.02) g, respectively. The tumor weights of sorafenib alone group and SK-Hep-1 si-YAP group were significantly lower than that of SK-Hep-1 group (P=0.012 and P=0.031, respectively). The tumor weight of SK-Hep-1 si-YAP combined with sorafenib group was significantly lower than that of SK-Hep-1 si-YAP group (P=0.001). Conclusions The expression of YAP is upregulated in HCC cell lines, which regulates the proliferation, cell cycle, and sensitivity to sorafenib of HCC cells. YAP is a potential molecular target for HCC treatment.

Objective: To explore the intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) model in lung cancer patients with different histopathological subtypes. Methods: A total of 105 patients were recruited, including 68 cases of adenocarcinoma, 22 cases of squamous carcinoma and 15 cases of small cell carcinoma. All patients underwent magnetic resonance examination consisting of axial IVIM-DWI sequence on a 3.0 T whole body scanner, then the standard ADC (sADC), diffusion coefficient (D), pseudo-diffusion coefficient(D^*), perfusion fraction (f), distributed diffusion coefficient (DDC) and water diffusion heterogeneity index (α) were calculated for each lesion within the IVIM-DWI model. Results: Mean sADC values were (1.45±0.26) ×10^-3mm²/s, (1.36±0.48) ×10^-3mm²/s and (1.35±0.40) ×10^-3mm²/s for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean f values were (59.75±16.37) %, (47.41±18.69) % and (48.96±19.88) % for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean α values were 0.72±0.13 for adenocarcinoma, 0.62±0.12 for squamous carcinoma, and 0.63±0.11 for small cell carcinoma, respectively. Statistical analyses indicated that the sADC, f and α values among different histopathological subtypes were significantly different (P<0.05), while there was no significant difference in D, D^* and DDC values (P>0.05). Furthermore, the comparison showed that the sADC, f and α values of patients with adenocarcinoma were significantly higher than those with squamous carcinoma or small cell carcinoma (P<0.05), whereas there was no significant difference between squamous carcinoma group and small cell carcinoma group (P>0.05). Conclusions The sADC, f and α values derived from the IVIM-DWI model can be used for comprehensive non-invasive evaluation of diffusion, perfusion and heterogeneity of microenvironment in lung cancer patients. And the IVIM-DWI model may be a promising tool for predicting histopathological subtypes of lung cancer.

Objective: To investigate the ultrasonographic features of synchronous and heterochronic liver metastasis in patients with stromal tumors, and to elucidate the value of ultrasonic examination in follow-up surgery. Methods: A total of 1 516 patients with pathologically confirmed gastrointestinal stromal tumors (GISTs) and extra-gastrointestinal stromal tumors (EGISTs) were enrolled. The ultrasonographic features of primary lesions and liver metastases in a total of 46 cases with 95 liver metastases were analyzed. Results: 24 out of 46 cases had primary lesion in the small intestine, 14 in the stomach, 4 in the abdominal cavity, 1 in the colon, 2 in the esophagus, and 1 in the mesentery. The expression of CD117, Dog-1 and CD34were detected by immunohistochemical staining. The positive rate of CD117 was 100%, the Dog-1 was 95.7% and the CD34 was 69.6%. There were statistically significant differences in the maximum diameter, boundary and blood flow of primary tumors in 28 patients with synchronous liver metastasis and 18 patients with heterochronic liver metastasis (P=0.001, 0.022 and 0.036, respectively). Of the 95 liver metastases, 86 (90.5%) were located in the right lobe of the liver, 79 (83.2%) had clear boundaries, 75 (78.9%) were hypoechoic or isoechoic, 55 (57.9%) showed colored patterns, and 68 (71.6%) had no halo.11 liver metastases were cystic masses, 59 were solid masses, and 25 were mixed masses. There was a statistically significant difference in blood flow between 65 synchronous hepatic metastases and 30 heterochronic liver metastases (P=0.017). Conclusions There were differences of the primary tumor ultrasonographic features between the synchronous metastasis group and heterochronic metastasis group. The ultrasonographic features of primary tumors and liver metastases have important clinical significance for the diagnosis, follow-up and treatment of malignant mesenchymal tumors.

Objective: To explore the best surgical timing after neoadjuvant chemoradiation for advanced rectal cancer patients. Methods: According to the time interval between neoadjuvant chemoradiation and surgery, 117 patients with advanced rectal cancer were divided into short interval group (≤7 weeks, n=54) and long interval group (>7 weeks, n=64). The endpoints included postoperative pathology, short-term efficacy, tumor recurrence and patient survival between the two groups. Results: There were 8 cases PCR in short interval group and 20 cases in long interval group(P=0.415). There were 23 cases of T downgrade in short interval group and 40 cases in the long interval group, which has significant difference (P=0.039). There were 21 cases of N downgrade in short interval group and 38 cases in long interval group, which has significant different (P=0.033). The short-term group was effective in 28 cases, stable in 20 cases, and progressed in 5 cases. In short term efficacy comparison, the cases of complete response, stable disease and progressive disease in short interval group was 28 cases, 20 and 5, long interval group was 47 cases, 14 cases and 3 cases, which has no significant difference(P=0.068). The 3-year local recurrence rate of short interval group and long interval group was 17.0% and 4.7%, respectively, and the difference was statistically significant(P=0.029). The incidence of recurrence in 3 years of short interval group and long interval group was 64.2% and 79.7%, respectively, and the difference was not significant (P=0.061). The highest PCR rate was reached in the 10th and 11th week after neoadjuvant chemoradiotherapy. Of the 12 and 8 patients who underwent surgery, 3 (25.0%) and 2 (25.0%) achieved PCR, respectively. Conclusion PCR and local recurrence rate might be improved by time interval between neoadjuvant chemoradiation and surgery was more than 7 weeks.

Objective: To investigate the causes and impacts of unplanned reoperations (UO) in patients underwent colorectal cancer surgery, and its effect on the length of hospital stays and hospitalization fees of these patients. Methods: we retrospectively analyzed the data of colorectal tumor patients underwent resection and UO from January 2014 to November 2017 in Cancer Hospital, Chinese Academy of Medical Sciences (CAMS). Student t tests, ANOVA analysis and chi-square test were used to compare the paired data and data of multiple groups, respectively. Results: There were 5 923 cases who underwent colorectal cancer surgery from 2014 to 2017. Among them, 75 cases further accepted UO, the incidence rate of UO was 1.27%. Among the 75 patients of UO, 60 were male and 15 were female, 21 patients underwent colonic operation and 54 patients underwent rectal operation. The average length of hospital stays were 25.8 days and the average hospitalization fees were 110 647.04 yuan. The gender construction, surgical site, average length of hospital stays and hospitalization fees of UO were significantly different from those of operative colorectal tumor patients during this period (all P<0.01). There were 40 patients underwent anastomotic fistula, 11 patients underwent stoma complications and 10 patients underwent bowel obstruction, respectively, which accounts for the three most common causes of UO after colorectal cancer surgery, and the total incidence was 81.3%. The interval of reoperation and the first operation significantly impacted the average length of hospital stays of UO patients (P=0.003), while marginally affected the hospitalization fees (P=0.847). Conclusions UO are more possible to occur to the male patients who undergo rectal operation. The length of hospital stays and hospitalization fees of UO are significantly increased when compare to those of operative colorectal cancer patients. The time of reoperation significantly impacts the length of hospital stays but has little effect on the hospitalization fees of UO patients.

Objective: To explore the feasibility of high-throughput texture analysis in the distinction of single brain metastases (SBM) from high-grade gliomas (HGG) and validate the established model. Methods: A total of 86 patients who were histologically diagnosed with SBM or HGG were retrospectively collected, including 43 patients with SBM and 43 with HGG. All of patients were performed preoperative conventional head magnetic resonance imaging (MRI) scans. A total of 236 fluid-attenuated inversion recovery (FLALR) images containing the information of tumors were selected from the MRI images and each image was considered as an object. The training set had 200 images, including 106 from SBM group and 94 from HGG group, whereas the validation set had 36 images, including 19 from SBM group and 17 from HGG. After images preprocessing, images segmentation, features extraction, and features selection, a radiomic diagnostic model was finally established using the training set. The diagnostic performance of the diagnostic model was evaluated using a receiver operating characteristic (ROC) curve. Hierarchical clustering analysis was used to evaluate the quality of the extracted feature data and the classification effect of the model. The model was further validated using the independent validation set. Results: A total of 629 features were extracted and quantified from each sample, and 41 features were selected to establish feature subsets and the diagnostic model. The classification decision function of the model is f(x)=sign and the kernel function of the model is K(x, x_i)=exp. In the training set, the diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value were 0.845, 0.849, 0.840, 0.857 and 0.832, respectively. The area under the ROC curve reached to 0.939. Similar results were obtained in the validation set. Conclusion The high-throughput texture analysis shows high accuracy in differentiating SBM from HGG.

Objective: To investigate the value of computed tomography (CT) texture analysis in differential diagnosis of inflammatory and malignant pulmonary nodules. Methods: The image data of 54 patients with lung cancer and 36 patients with pulmonary inflammatory nodules were retrospectively collected in our hospital. All the patients received chest CT scan. CT texture analysis of entropy, correlation degree and contrast ratio were performed by the MaZda software. The receiver operating characteristic curve (ROC) was established and the area under the curve (AUC) was calculated to evaluate the value of CT texture analysis in differential diagnosis of inflammatory and malignant pulmonary nodules. Results: In the lung cancer group, the value of entropy, correlation degree and contrast ratio were 1.58±0.07, 0.02±0.17 and 8.79±2.59, respectively. In the inflammatory nodules group, the value of entropy, correlation degree and contrast ratio were 1.51±0.04, 0.22±0.16 and 12.53±2.24, respectively. The differences were all statistically significant (P values were 0.008, 0.027, and 0.006, respectively) between two groups. There was not statistically significant difference (P>0.05) in the CT values between the lung cancer group and the inflammatory nodule group based on the non-contrast enhanced CT scan. Meanwhile, there was no statistically significant difference (P>0.05) in the value of entropy, correlation degree or contrast ratio between two groups based on arterial phase or venous phase of contrast enhanced CT. The ROC analysis showed that the AUC in differentiating the lung cancer and inflammatory nodules was 0.821, 0.778 and 0.875, respectively. The AUC of combination of three phases was 0.931, which was higher than the AUC of entropy, correlation degree and contrast ratio respectively (P<0.01). The sensitivity was 88.9%, and the specificity was 87.5%. Conclusion CT texture analysis is a high-potential image analysis method, which can provide more information for the differential diagnosis of benign and malignant pulmonary nodules.