Objective: To summarize the clinical characteristics, treatment response and prognostic factors of rhabdomyosarcoma (RMS) in children. Methods: The clinical characteristics such as age at diagnosis, primary tumor site, tumor size, pathological type, clinical stage, and risk grouping of 213 RMS patients (140 males and 73 females) treated in Hematology Oncology Center of Beijing Children′s Hospital, Capital Medical University, from May 2006 to June 2018 were analyzed retrospectively. The clinical characteristics, overall survival (OS), event free survival (EFS) and prognostic factors of children treated with the Beijing Children′s Hospital-Rhabdomyosarcoma (BCH-RMS) regimen were analyzed. Survival data were analyzed by Kaplan-Meier survival analysis, and single factor analysis was performed by Log-Rank test. Results: The diagnostic age of 213 cases was 48.0 months (ranged 3.0-187.5 months), of which 136 cases (63.8%) were younger than 10 years old. The head and neck region was the most common primary site of tumor (30%, 64 cases), followed by the genitourinary tract (26.8%, 57 cases). Among pathological subtypes, embryonal RMS accounted for 71.4% (152 cases), while alveolar RMS and anaplastic RMS accounted for only 26.8% (57 cases) and 1.9% (4 cases), respectively. According to the Intergroup Rhabdomyosarcoma Study Group (IRS), IRS-Ⅲ and Ⅳ accounted for 85.0% (181 cases) of all RMS patients. In all patients, 9.4% (20 cases) patients were divided in to low-risk group, 52.1% (111 cases) patients in to intermediate -risk group, 25.8% (55 cases) patients in to high-risk group, and 12.7% (27 cases) patients in to the central nervous system invasion group, respectively. All patients with RMS received chemotherapy. The cycles of chemotherapy were 13.5 (ranged 5.0-18.0) for patients without event occurrence, while 14.2 (ranged 3.0-30.0) for patients with event occurrence. Among the 213 patients, 200 patients had surgical operation, of whom 103 patients underwent surgery before chemotherapy and 97 patients at the end of chemotherapy, 21 patients had secondary surgical resection. Radiotherapy was performed in 114 patients. The follow-up time was 23.0 months (ranged 0.5-151.0 months) . There were 98 patients with relapsed or progressed disease and 67 patients with death. The median time to progression was 10 months, of which 67 (68.4%) relapse occurred within 1 year and no recurrence occurred after follow-up for more than 5 years. The 3-year EFS and 5-year EFS were (52±4) % and (48±4) %, while the 3-year OS and 5-year OS were (65±4) % and (64±4) % by survival analysis. The 5-year OS of the low-risk, intermediate-risk, the high-risk were 100%, (74±5) %, (48±8) %, and the 2-year OS of the central nervous system invasion group was (36±11) % (χ²=33.52, P<0.01). The 5-year EFS of the low-risk, intermediate-risk, the high-risk were (93±6) %, (51±5) %, (36±7) % and the 2-year EFS of the central nervous system invasion group was (31±10) % (χ²=24.73, P<0.01) . Survival factor analysis suggested that the OS of children was correlated with age(χ²=4.16, P=0.038), tumor TNM stage (χ²=22.02, P=0.001), IRS group (χ²=4.49, P<0.01) and the risk group (χ²=33.52, P<0.01). Conclusions This study showed that the median age of newly diagnosed RMS patients was 4 years. The head and neck and the genitourinary tract were the most common primary origin of RMS. The OS was low in single-center RMS children. The median time to recurrence was 10 months, and recurrence was rare 3 years later.

The objective of this study was to evaluate the usefulness of the China-PAR equations in predicting the 10-year risk of cardiovascular disease (CVD) in the Inner Mongolians population. A population-based, prospective cohort of 2,589 Mongolians were followed up from 2003 to 2012. Participants were categorized into 4 subgroups according to their 10-year CVD risks calculated using the China-PAR equations: < 5%, 5%-9.9%, 10%-19.9%, and ⪖ 20%. The China-PAR equations discriminated well with good C statistics (range, 0.76-0.86). The adjusted hazard ratios for CVD showed an increasing trend among the 4 subgroups (P for trend < 0.01). However, the China-PAR equations underestimated the 10-year CVD risk in Mongolians, and the calibration was unsatisfactory (Hosmer-Lemeshow χ2 = 19.98, P < 0.01 for men, χ2 = 46.58, P < 0.001 for women). The performance of the China-PAR equations warrants further validation in other ethnic groups in China.
Asian Continental Ancestry Group ; Cardiovascular Diseases ; epidemiology ; Cerebrovascular Disorders ; epidemiology ; China ; epidemiology ; Cohort Studies ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Mongolia ; ethnology ; Proportional Hazards Models ; Prospective Studies ; Risk Assessment ; Risk Factors

In this study, we investigated the pharmacokinetics parameters of SPIO-shRNA dual functional molecular probe and observed the main organ distribution by MRI in vivo. Eighteen New Zealand white rabbits were randomly divided into three groups and injected intravenously with different doses of SPIO-shRNA molecular probe, respectively. The blood samples were collected to analyze the pharmacokinetic parameters by measuring the iron content at 30 minutes before and after the injection. Twenty-four Kun Ming (KM) mice were randomly divided into 4 groups: the control group was injected intravenously with physiological saline 200 µL per mouse via the tail vein, the other 3 groups were injected intravenously with different doses of SPIO-shRNA molecular probe. MRI observation was performed in 24 hours, and the liver, spleen, kidney, brain and muscle were collected for iron quantification with Prussian blue staining to determine distribution of the SPIO-shRNA molecular probe in the main organ in vivo. Our results suggest that the molecular probe blood half-life is more than 3 hours. The data of MRI suggest the probe was distributed in liver and spleen, and the MRI signal was reduced with the increase in probe's doses (P < 0.05). The results of Prussian blue staining confirmed the results of MRI. Most of the probe could escape the phagocytosis of mononuclear phagocyte system. Our data provide the pharmacokinetic and distribution of SPIO-shRNA molecular probe in organs. Meanwhile, it suggests the choice of the time and dose of probe for MR imaging of tumor in vivo.
Animals ; Half-Life ; Magnetic Resonance Imaging ; Magnetite Nanoparticles ; Mice ; Molecular Probes ; pharmacokinetics ; RNA, Small Interfering ; chemistry ; Rabbits

OBJECTIVETo explore the transfection rate of SPIO-shRNA dual functional molecular probe into ovarian carcinoma SKOV3 cells in external magnetic field.

METHODSDual functional molecular probe at an iron concentration of 45 mg/L was transfected into SKOV3 cells. The cells with coexisting probe and magnetic fields were set as the intervention group,the probe-transfected cells as negative control group, and normally cultured SKOV3 without any transfection as blank control group. The transfection rate was detected by flow cytometry. Cell viability was observed by CCK-8 assay. Epidermal growth factor receptor (EGFR) expression level in SKOV3 cells was determined by real-time quantitative PCR and Western blot analysis. The signal intensity was measured by magnetic resonance imaging (MRI).

RESULTSThe transfection rate of the intervention group was (79.20 ± 3.31)%, which was significantly higher than that of negative control group (P=0.001). Compared with the negative control group,the cell viability of the intervention group significantly decreased (P=0.011), protein and mRNA expression levels of EGFR in the intervention group were significantly decreased (both P<0.05). The signal intensity on T2(*)WI in the intervention group also significantly decreased (P=0.0004).

CONCLUSIONThe external magnetic field can improve the transfection efficiency SPIO-shRNA dual functional molecular probe into ovarian carcinoma SKOV3 cells.

Blotting, Western ; Cell Line, Tumor ; Cell Survival ; ErbB Receptors ; Female ; Flow Cytometry ; Humans ; In Vitro Techniques ; Iron ; Magnetic Fields ; Molecular Probes ; Ovarian Neoplasms ; RNA, Small Interfering ; Real-Time Polymerase Chain Reaction ; Transfection

OBJECTIVEBased on the registered female breast cancer data from 1998 to 2007, to analyze the incidence of female breast cancer during the period and then to predict its trend from 2008 to 2015.

METHODSThe incidence data of breast cancer from 1998 to 2007 were sorted from National Cancer Registry Database, including 74 936 cases from urban areas and 8230 cases from rural areas, separately covering 164 830 893 and 55 395 229 person years. The crude incidence rates in urban and rural areas were calculated, and the age-standardized rate (ASR) was adjusted by World Segi's population composition. JoinPoint software was applied to analyze the 10 years' incidence trend and calculated the annual percentage of changing (APC), while Age-Period-Cohort Bayesian Model was used to fit the data and predict the incidence of breast cancer between 2008 and 2015.

RESULTSFrom 1998 to 2007, the incidence of breast cancer in the urban cancer registration areas was 45.46/100 000 (74 936/164 830 893), whose ASR was 31.28/100 000. While in rural registration areas, the incidence and ASR was 14.86/100 000 (8230/55 395 229) and 12.13/100 000. The breast cancer incidence in urban and rural areas separately rose from 36.17/100 000 (3920/10 838 355) and 10.39/100 000 (436/4 197 806) in 1998 to 51.24/100 000 (11 302/22 057 787) and 19.61/100 000 (1475/7 522 690) in 2007. During the 10 years, the breast cancer incidence increased both in urban and rural areas, but the increase rate in rural incidence (6.3%) was more significant than it in urban areas (3.9%). Age-Period-Cohort Bayesian Model predicted that the breast cancer incidence would increase to 53.87/100 000 (185 585 new cases) in urban areas and 40.14/100 000 (132 432 new cases) in rural areas, respectively.

CONCLUSIONThe breast cancer incidence has been increasing annually both in urban and rural areas in China; and an annually increase number of new cases have been predicted.

Breast Neoplasms ; epidemiology ; China ; epidemiology ; Female ; Humans ; Incidence ; Registries ; Rural Population ; Urban Population

OBJECTIVEBased on the data from National Cancer Registry between 1998 and 2007, to analyze the colorectal cancer incidence trend in China, and further to predict its incidence between 2008 and 2015.

METHODSWe picked up the incidence data of 111 281 cases of colorectal cancer in total from National Central Cancer Registry Database between 1998 and 2007, covering 446 734 668 person-year. The annual incidence rate of colorectal cancer both by area and gender were calculated; while the age standardized rate (ASR) was standardized by world's population age structure. The incidence trend was analyzed and the annual percentage change (APC) was calculated by JoinPoint software. Age-Period-Cohort Bayesian Model was applied to fit the colorectal cancer incidence trend in China between 1998 and 2007; and further to predict its incidence between 2008 and 2015.

RESULTSFrom 1998 to 2007, the colorectal cancer registered incidence was 24.91/100 000 (111 281/446 734 668), with the ASR at 17.67/100 000. The incidence in male population was 26.50/100 000 (60 015/226 508 545), with ASR at 19.90/100 000; and the incidence in female was 23.28/100 000 (51 266/220 226 123), with ASR at 15.73/100 000. In urban area, the male incidence rose from 23.29/100 000 (2617/11 237 967) in 1998 to 37.84/100 000 (8534/22 551 353) in 2007; while the female incidence increased from 21.75/100 000 (2357/10 838 355) to 31.34/100 000 (6913/22 057 787). And in rural areas, the male and female incidences rose from 10.36/100 000 (448/4 323 628) and 8.86/100 000 (372/4 197 806) in 1998 to 16.80/100 000 (1290/7 677 484) and 13.00/100 000 (978/7 522 690) in 2007 respectively. In this decade, the colorectal cancer incidence has increased both in urban and rural areas. In urban area, the male APC value was 5.5% and the female APC value was 4.0%; while in rural area, the male and female APC values were 6.0% and 4.3% respectively. After adjusted by age structure, the uptrend became gently; with the urban male and urban female APC values separately increased by 3.7%, 2.5% and 2.3%. The rural male APC value rocketed up by 8.4% after its inflection point in 2004. The Bayesian model predicted that the male and female colorectal cancer incidences would separately reach 33.92/100 000 (125 thousand cases) and 27.13/100 000 (93 thousand cases) in urban areas; and 13.61/100 000 (48 thousand cases) and 13.68/100 000 (45 thousand cases) in rural areas by year 2015.

CONCLUSIONThe colorectal cancer incidence in China has been increasing annually; and it will continue to rise in the next years.

Adult ; Aged ; Aged, 80 and over ; Bayes Theorem ; China ; epidemiology ; Colorectal Neoplasms ; epidemiology ; prevention & control ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Registries ; Rural Population ; Urban Population

OBJECTIVEBased on the registered esophageal cancer data from 1998 to 2007, to analyze the incidence of esophageal cancer during the period and then to predict its trend between year 2008 and 2015.

METHODSThe incidence data of esophageal cancer between 1998 and 2007 were sorted from National Cancer Registry Database. Data from forty selected registries were qualified and recruited in the study, including 86 427 cases in total, covering 446 734 668 person years. Crude incidence rates were calculated by area and gender. The standardized incidence rate was adjusted by World Segi's population composition. JoinPoint software was applied to analyze the 10 years' incidence trend and calculated the annual percentage change, while Age-Period-Cohort Bayesian Model was used to fit the data and predict the incidence between 2008 and 2015.

RESULTSBetween 1998 and 2007, the crude incidence rates among males and females in urban areas were separately 16.58/100 000 (28 207/170 131 309) and 7.14/100 000 (11 761/164 830 893), with standardized rates at 12.06/100 000 and 4.55/100 000, respectively. In rural areas, the crude incidence rates and the standardized rates were separately 51.98/100 000 (29 303/56 377 236) and 47.18/100 000 among males, and 30.97/100 000 (17 156/55 395 230) and 25.30/100 000 among females. During the ten years, the crude incidence trend of esophageal cancer among urban females decreased from 10.29/100 000 (1115/10 838 355) in 1998 to 6.29/100 000 (1387/22 057 787) in 2007. However, the crude incidence rate among rural males increased from 47.69/100 000 (2062/4 323 628) to 54.80/100 000 (4207/7 677 484) in the same period. And the rate among rural females and urban males did not change obviously. After adjusting population structure, in urban areas, the male incidence rate decreased by 2.1% annually and female incidence rate dropped by 7.5% annually. In rural areas, the female incidence rate fell by 1.3% annually, while the male incidence rate remained the same without significant changes. The prediction model estimated that there would be 134 474 new esophageal cancer cases diagnosed in year 2015, including 104 400 males and 30 074 females, while 52 506 cases came from urban areas and the other 81 968 cases were from rural areas.

CONCLUSIONThe esophageal cancer incidence showed a downtrend, especially among urban females. By year 2015, the threat of esophageal cancer will be alleviated.

Adult ; Aged ; Aged, 80 and over ; Bayes Theorem ; China ; epidemiology ; Esophageal Neoplasms ; epidemiology ; prevention & control ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Registries ; Rural Population ; Urban Population

OBJECTIVEBased on the cancer registry data during 1998 - 2007, to analyze the incidence of liver cancer in China and predict the trend of incidence of liver cancer between 2008 and 2015.

METHODSLiver cancer incidence data from cancer registry between 1998 and 2007 was collected, including a total of 115 417 cases, covering 446 734 668 person-year. We calculated the annual incidence rate of liver cancer by gender and area. Age-standardized rate (ASR) was calculated by the world's population age structure. JoinPoint software was applied to analyze the incidence trend and calculate annual percent change (APC). Age-Period-Cohort Bayesian Model was used to fit the incidence trend and predict the incidence trend between 2008 and 2015.

RESULTSFrom 1998 to 2007, according to the data from cancer registry, the liver cancer incidence was 25.84/100 000 (115 417/446 734 668), with the ASR at 18.82/100 000. In urban areas, the male incidence was 34.30/100 000 (58 353/170 131 309), with ASR at 24.99/100 000; while the female incidence was 12.33/100 000 (20 324/164 830 893), with ASR at 7.99/100 000. In rural areas, the male incidence was 48.56/100 000 (27 378/56 377 236), with ASR at 42.27/100 000; while the female incidence was 16.90/100 000 (9362/55 395 230), with ASR at 13.52/100 000. During the decade, in urban areas, the APC of male and female liver cancer incidence rates were separately 1.1% and -0.5%, with ASR at -0.5% and -1.9%; while in rural areas, the APC of male and female liver cancer incidence rates were separately 3.7% and 3.1%, with ASR at 1.9% and 1.3%. Age-Period-Cohort Bayesian Model predicted that in urban areas, the male and female incidence of liver cancer in 2015 would reach 30.73/100 000 (113 279 cases) and 10.44/100 000 (35 978 cases), with ASR at 23.70/100 000 and 7.21/100 000, respectively; while in rural areas, the incidence rates would increase to 51.67/100 000 (182 382 cases) and 15.03/100 000 (49 580 cases), with ASR at 39.80/100 000 and 10.45/100 000, respectively.

CONCLUSIONThe incidence of liver cancer will increase between 2008 and 2015, but its ASR will decrease slightly. In the near future, the number of new liver cancer cases will keep increasing. Liver cancer is still the dominant cancer and one key point for cancer prevention and control in China.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Bayes Theorem ; Child ; Child, Preschool ; China ; epidemiology ; Female ; Humans ; Incidence ; Infant ; Liver Neoplasms ; epidemiology ; prevention & control ; Male ; Middle Aged ; Registries ; Rural Population ; Urban Population ; Young Adult

OBJECTIVEBased on the national cancer incidence database from 1998 to 2007, to analyze the cancer incidence trend and predict the cancer burden between 2008 and 2015.

METHODSWe picked up the cancer incidence data of 40 cancer registry sites from National Central Cancer Registry Database between 1998 and 2007. In total, 1 109 594 cancer cases were registered, covering 446 734 668 person-year. The separate incidence by district and gender were calculated, and the standardized incidence rate was calculated by world's population age structure. The incidence trend between the 10 years was analyzed by JoinPoint software, as well as the age-percentage-changes (APC). Age-Period-Cohort Bayesian Model was applied to fit the cancer incidence data stratified by age, district and gender. The cancer incidence between 2008 and 2015 was then predicted.

RESULTSDuring the period of 1998 - 2007, in urban areas, the male cancer incidence rate was 277.61/100 000 (472 307/170 131 309), with the age standardized rate (ASR) at 202.05/100 000; while the female cancer incidence rate was 236.35/100 000 (389 586/164 830 893), with the ASR at 159.15/100 000; in rural areas, the male and female cancer incidence rates were separately 272.23/100 000 (153 478/56 377 236) and 170.09/100 000 (94 223/55 395 230), with the corresponding ASR at 244.34/100 000 and 137.90/100 000. Crude incidence rate in urban men increased from 247.00/100 000 (27 758/11 237 967) in 1998 to 305.76/100 000 (68 953/22 551 353) in 2007; while it increased from 207.37/100 000 (22 476/10 838 355) to 263.20/100 000 (58 055/22 057 787) among urban women. The crude incidence rate in rural men increased from 232.33/100 000 (10 045/4 323 628) to 303.65/100 000 (23 313/7 677 484) and it increased from 139.03/100 000 (5836/4 197 806) to 197.40/100 000 (14 850/7 522 690) among rural women. After age adjustment, the urban male APC value (95%CI) was 0.5% (-0.2% - 1.3%), showed no significantly statistical difference. However, the urban female APC value (95%CI), rural male APC value (95%CI) and rural female APC value (95%CI) were separately 1.7% (1.3% - 2.0%), 1.8% (0.9% - 2.6%) and 2.8% (1.8% - 3.7%), all showed an obvious uptrend. The outcome of Age-Period-Cohort Bayesian model predicted that by year 2015, the incidence cancer rate in urban areas will reach 309.13/100 000 (1.140 million new cases) among males and 303.79/100 000 (1.046 million new cases) among females; while in rural areas the rate will reach 288.66/100 000 (1.019 million new cases) among males and 222.59/100 000 (0.734 million new cases) among females.

CONCLUSIONThe cancer incidence has increased annually; the uptrend in rural areas was more obvious than it in urban areas; the uptrend in females was more obvious than it in males. It is predicted that the annual incidence will continue to increase in the next years, and effective control programs should be carried out immediately.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Bayes Theorem ; Child ; Child, Preschool ; China ; epidemiology ; Female ; Humans ; Incidence ; Infant ; Male ; Middle Aged ; Neoplasms ; epidemiology ; prevention & control ; Registries ; Rural Population ; Urban Population ; Young Adult

ObjectiveTo explore the molecular epidemiological characteristics of group A rotavirus diarrhea in children in Shanghai and to provide the background data for the implementation of rotavirus vaccination.MethodsA total of 910 stool samples were collected from the outpatient children with acute diarrhea from August 2008 to July 2009.Group A rotavirus was detected by usingcommercial colloidal gold device.Rotavirus strains were characterized for G and P genotypes using the nested reverse transcription polymerase chain reaction (RT-PCR).ResultsGroup A rotavirus was detected in 268(29.4％) out of 910 stool samples.Rotavirus infection was found year-round and the peak season was from October 2008 to January 2009,with the detection rates ranging from 38.3 ％ to 70.5％.Ninety-one percent of children (244 cases) with rotavirus-associated diarrhea occurred in children ＜3 years of age.The detection rate of rotavirus was highest (36.6％) in children aged 12-23 months.Among the 268 group A rotavirus-positive strains,G1 was the most common G genotype (65 strains),accounting for 24.3％,followed by G3 (40 strains,14.9％),G mixed genotypes (37strains,13.8 ％),G2 (27 strains,10.1％),G9 (14 strains,5.2％),G4(5 strains,1.9％),other G types (5 strains,1.9％),and unclassified G type (75 strains,28.0％).P[8] and P[4] were the most common P genotypes,accounting for 54.9％ (147 strains) and 11.9％ (32 strains),respectively,followed by P mixed genotypes (6 strains,2.2％) and other P genotypes (4 strains,1.5％),unclassified P type (79 strains,29.5％).The G/P genotype combinations were found as follows:G1P [8] (13.4％),G3P[8] (13.4％),GmixP[8] (10.1％),G1P[4] (8.2％),G9P[8] (2.2％),G2P [4] (1.9％),G1Pmix (1.9％).ConclusionsGroup A rotavirus is a major causative agent of diarrhea in infants and young children in Shanghai.The peak season of rotavirus infection appears in fall and winter.The currently licensed rotavirus vaccines cover the majority of genotypes of rotavirus strains prevailing in Shanghai.