糖尿病对乳腺癌患者预后影响的Meta 分析

目的：评价中国地区糖尿病对乳腺癌患者预后的影响，为临床工作提供依据。方法：检索万方、中国知网、维普、Medline、 Pubmed、Embase数据库有关糖尿病对乳腺癌患者预后影响的文章，收集数据，进行meta 分析，以合并OR 值作为效应指标。结果： meta 分析共纳入11 篇文献，总共有28589 个病例；合并糖尿病对乳腺癌患者5 年无病生存率有影响[OR=2.48，95%CI （1.81~3.40）；I2=0%，P(Q)=0.42]；合并糖尿病对乳腺癌患者5 年总生存率有影响[OR=2.40，95%CI（1.75~3.29）；I2=81.67%，P(Q)<0. 01]。结论：糖尿病对乳腺癌患者预后有影响，造成生存率降低。     

DNA methylation and breast tumor clinicopathological features: The Western New York Exposures and Breast Cancer (WEB) study

We evaluated the association between methylation of 9 genes, SCGB3A1, GSTP1, RARB, SYK, FHIT, CDKN2A, CCND2, BRCA1, and SFN in tumor samples from 720 breast cancer cases with clinicopathological features of the tumors and survival. Logistic regression was used to estimate odds ratios (OR) of methylation and Cox proportional hazards models to estimate hazard ratios (HR) between methylation and breast cancer related mortality. Estrogen receptor (ER) and progesterone receptor (PR) positivity were associated with increased SCGB3A1 methylation among pre- and post-menopausal cases. Among premenopausal women, compared with Stage 0 cases, cases of invasive cancer were more likely to have increased methylation of RARB (Stage I OR = 4.7, 95% CI: 1.1–19.0; Stage IIA/IIB OR = 9.7, 95% CI: 2.4–39.9; Stage III/IV OR = 5.6, 95% CI: 1.1–29.4) and lower methylation of FHIT (Stage I OR = 0.2, 95% CI: 0.1–0.9; Stage IIA/IIB OR = 0.2, 95% CI: 0.1–0.8; Stage III/IV OR = 0.6, 95% CI: 0.1–3.4). Among postmenopausal women, methylation of SYK was associated with increased tumor size (OR = 1.7, 95% CI: 1.0–2.7) and higher nuclear grade (OR = 2.0, 95% CI 1.2–3.6). Associations between methylation and breast cancer related mortality were observed among pre- but not post-menopausal women. Methylation of SCGB3A1 was associated with reduced risk of death from breast cancer (HR = 0.41, 95% CI: 0.17–0.99) as was BRCA1 (HR = 0.41, 95% CI: 0.16–0.97). CCND2 methylation was associated with increased risk of breast cancer mortality (HR = 3.4, 95% CI: 1.1–10.5). We observed differences in methylation associated with tumor characteristics; methylation of these genes was also associated with breast cancer survival among premenopausal cases. Understanding of the associations of DNA methylation with other clinicopathological features may have implications for prevention and treatment.     

Expression of Notch1 Correlates with Breast Cancer Progression and Prognosis

Various studies have evaluated the significance of Notch1 expression in breast cancer, but the results have ever been disputed. By using 21 studies involving 3867 patients, this meta-analysis revealed that the expression of Notch1 was significantly higher in breast cancer than in normal tissues (OR=7.21; 95%CI, 4.7-11.07) and that higher Notch1 expression was associated with transition from ductal carcinoma in situ (DCIS) to invasive cancer (OR=3.75; 95% CI, 1.8-7.78). Higher Notch1 activity was observed in the basal subtype of breast cancer (OR=2.53; 95% CI, 1.18-5.43). Moreover, patients with Notch1 overexpression exhibited significantly worse overall and recurrence-free survival. Our meta-analysis suggests that Notch inhibitors may be useful in blocking the early progression of DCIS and that the outcomes of clinical trials for Notch1-targeting therapeutics could be improved by the molecular stratification of breast cancer patients.     

Long noncoding RNA Breast cancer antiestrogen resistance 4 is associated with cancer progression and its significant prognostic value

Breast cancer antiestrogen resistance 4 (BCAR4) is a novel long noncoding RNA. It was originally identified in a screen for genes responsible for the development of resistance to antiestrogens in breast cancer cells and plays a major role in various tumors. However, the clinical diagnostic role of BCAR4 in tumors is not completely understood. This current meta-analysis aimed to comprehensively explore the potential role of BCAR4 as a prognostic biomarker in a number of cancers. Five public databases PubMed, EMBASE, Web of Science, Wiley Online Library, and Medline were used to search for articles. Nine studies comprising 1,293 patients were included in this meta-analysis. The results of analysis showed that BCAR4 expression in human cancer was significantly associated with poor overall survival (hazard ratio [HR] = 1.98, confidence interval [CI]: [1.71–2.29]), p < 0.00001, and high BCAR4 expression was associated with clinical stage (OR and its 95% CI was 3.30 [1.99–5.46], p < 0.00001), distant metastasis (OR = 3.83, 95% CI: 2.15–6.82, p < 0.00001), and lymph node metastasis (OR and its 95% CI was 2.91 [1.62–5.25], p = 0.0004) in patients with cancer. Furthermore, the results revealed the prognostic significance of BCAR4 in gastrointestinal malignancy, breast cancer, and osteosarcoma (HR and its 95% CI were 2.05 [1.56–2.68], p < 0.00001; 1.78 [1.46–2.16], p < 0.00001; and 2.47 [1.41–4.34], p < 0.00001, respectively). This meta-analysis indicated the potential value of BCAR4 as a biomarker for predicting a poor prognosis in patients with cancer.     

The Role of Adiponectin in Breast Cancer: A Meta-Analysis

Published results suggests that high adiponectin level may decrease the risk of breast cancer. However, available evidence on breast cancer is conflicting. Therefore a meta-analysis was performed to assess the association between blood adiponectin and breast cancer risk. PubMed database, Web of Science, Elsevier Science, Springer Link and bibliographies of retrieved articles were searched for epidemiological studies published up to March 2013. Meta-analysis was performed on the combined effect values (OR) as well as standardized mean difference (SMD) including 17 studies. Fixed or random effect pooled measure was selected on the basis of homogeneity test among studies. The publication bias was assessed by the Egger’s regression asymmetry test and Begg’s rank correlation test with Begg’s funnel plot. Subgroup analyses and sensitivity analysis were also performed. A total of 13 studies involving 3578 breast cancer cases and 4363 controls contributed to the OR analysis. The high adiponectin level did not significantly affect breast cancer risk (OR=0.902, 95% CI=0.773–1.053). After excluding articles that were the key contributors to between-study heterogeneity, the OR of high adiponectin level was associated with decreased breast cancer risk (OR=0.838, 95% CI=0.744–0.943). There was a significantly association between high adiponectin level and postmenopausal breast cancer women (OR=0.752, 95%CI=0.604-0.936); and it was not associated with premenopausal breast cancer women (OR=0.895, 95%CI=0.638-1.256). The result of pooled measure on SMD was that the high adiponectin level was associated with decreased breast cancer risk (SMD= -0.348, 95% CI= -0.533--0.614) after excluding articles which were the key contributors to between-study heterogeneity. Our findings indicate that high adiponectin level might decrease the risk of postmenopausal breast cancer. More randomized clinical trials and observational studies are needed to confirm this association with underlying biological mechanisms in the future.     

Prognostic and clinical significance of focal adhesion kinase expression in breast cancer: A systematic review and meta-analysis

BackgroundThe prognostic significance of focal adhesion kinase (FAK) in breast cancer remains controversial. Here, we conducted a meta-analysis to explore the prognostic value of FAK expression in breast cancer.Materials and methodsPossible prognostic significance of protein or mRNA expression of FAK in breast cancer was investigated with searches of electronic databases for relevant publications. Pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were extracted from eligible studies.ResultsA total of eight eligible studies which included 2604 participants were analyzed in this meta-analysis. Increased expression of FAK protein was found to significantly correlate with shorter overall survival (OS) (HR = 1.43, 95% CI: 1.12–1.83; P = 0.004), and not with disease-free survival (HR = 1.31, 95% CI: 0.92–1.85; P = 0.14). Elevated FAK protein expression was also associated with negative estrogen receptor (ER) expression (OR, 1.34; 95% CI, 1.06–1.68; P = 0.01), negative progesterone receptor (PR) expression (OR, 1.54; 95% CI, 1.22–1.93; P < 0.001), positive human epidermal growth factor receptor 2 (HER2) expression (OR, 1.64; 95% CI, 1.28–2.09; P < 0.001), triple-negative breast cancer (TNBC) (OR, 1.57; 95% CI, 1.14–2.17; P = 0.006), high nuclear grade (OR, 1.70; 95% CI, 1.05–2.78; P = 0.03), high Ki-67 expression level (OR, 2.87; 95% CI, 1.94–4.24; P < 0.001), and positive p53 status (OR, 2.28; 95% CI, 1.58–3.29; P < 0.001).ConclusionOur meta-analysis identifies an association between increased FAK protein expression and worse OS among breast cancer patients. Moreover, enhanced FAK expression is associated with negative ER expression, negative PR expression, positive HER2 expression, TNBC, high nuclear grade, high Ki-67 expression level, and positive p53 status in breast carcinoma.     

Breast fine-needle aspiration malondialdehyde deoxyguanosine adduct in breast cancer

Abstract

This study has analysed the generation of 3-(2-deoxy-β-D-erythro-pentafuranosyl)pyrimido[1,2-α]purin-10(3H)-one deoxyguanosine adduct [M₁dG], a biomarker of oxidative stress and lipid peroxidation, in breast fine-needle aspirate samples of 22 patients with breast cancer, at different clinical stages, in respect to 13 controls. The multivariate analysis show that M₁dG adduct was higher in cases than in controls (Mean Ratio (MR) = 5.26, 95% CI = 3.16–8.77). Increased M₁dG was observed in women with a tumour grade 3 and a pathological diameter 2 (MR = 7.61, 95% CI = 3.91–14.80 and MR = 5.75, 95% CI = 3.13–10.59, respectively). A trend with increasing tumour grade and pathological diameter was present (MR = 1.98, 95% CI = 1.57–2.50 and MR = 2.44, 95% CI = 1.71–3.48, respectively). Not significant effects of age and smoking habit were found (MR = 1.58, 95% CI = 0.92–2.72 and MR = 1.68, 95% CI 0.88–3.20, respectively). An increment over the background frequency of M₁dG can contribute to breast cancer development. Increasing severity of breast tumour can influence DNA damage level.     

Chronotype and Breast Cancer Risk in a Cohort of US Nurses

The aim of this study was to examine the relation between chronotype and breast cancer risk. We analyzed the association between chronotype (definite morning type, probable morning type, probable evening type, definite evening type, or neither morning nor evening type) and breast cancer risk among 72 517 women in the Nurses’ Health Study II (NHS II). Chronotype was self-reported in 2009, and 1834 breast cancer cases were confirmed among participants between 1989 and 2007; a 2-yr lag period was imposed to account for possible circadian disruptions related to breast cancer diagnosis. Age- and multivariable-adjusted logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Participants who self-reported as neither morning nor evening type had a 27% increased risk of breast cancer (multivariable-adjusted OR?=?1.27, 95% CI?=?1.04–1.56), compared with definite morning types. None of the other chronotypes were significantly associated with breast cancer risk (multivariable-adjusted OR?=?0.99, 95% CI?=?0.87–1.12 for probable morning versus definite morning types; OR?=?0.96, 95% CI?=?0.84–1.09 for probable evening versus definite morning types; and OR?=?1.15, 95% CI?=?0.98–1.34 for definite evening versus definite morning types). Overall, chronotype was not associated with breast cancer risk in our study. A modestly increased risk among neither morning nor evening types may indicate circadian disruption as a potentially underlying mechanism; however, more studies are needed to confirm our results.     

Polymorphisms in the Melanocortin‐1 Receptor (MC1R) and Agouti Signaling Protein (ASIP) Genes in Korean Vitiligo Patients

We have examined the frequency of SNP polymorphisms within the melanocortin‐1 receptor (MC1R) and agouti signaling protein (ASIP) genes in 114 Korean vitiligo patients and 111 normal controls to assess the association of these loci with vitiligo risk. Using direct sequencing techniques, we found the following five MC1R coding region SNPs: Arg67Gln (G200A), Val92Met (G274A), Ile120Thr (T359C), Arg160Arg (C478A), and Gln163Arg (A488G). Of these, the most common were Val92Met at 14% in patients vs. 9% in controls (P = 0.17) and Gln163Arg at 17% in patients vs. 17% in controls (P = 0.84). Presence of the A allele of Val92Met (G274A) was higher in vitiligo patients {P = 0.12, odds ratio (OR) [95% confidence interval (CI)] = 1.68 (0.86–3.25)}. The other three variants showed a frequency <5% of both patients and controls. The ASIP 3′UTR genotype (g.8818A‐G) was also assessed in the same subjects. The frequency of the G allele of 3′UTR in ASIP was 17% in vitiligo and 12% in controls [P = 0.14, OR (95% CI) = 1.49 (0.87–2.54)]. Carriage of the G allele was higher in vitiligo patients [P = 0.17, OR (95% CI) = 1.50 (0.83–2.72)], and those who also carried MC1R Val92Met were more prone to vitiligo [eight of 111 patients vs. four of 111 in controls, P = 0.14, OR (95% CI) = 2.75 (0.71–8.69)]. None of these associations, however, reached statistical significance.     

Estimating survival in the Apennine brown bear accounting for uncertainty in age classification

For most rare and elusive species, estimating age-specific survival is a challenging task, although it is an important requirement to understand the drivers of population dynamics, and to inform conservation actions. Apennine brown bears Ursus arctos marsicanus are a small, isolated population under a severe risk of extinction, for which the main demographic mechanisms underlying population dynamics are still unknown, and population trends have not been formally assessed. We present a 12-year analysis of their survival rates using non-invasive genetic sampling data collected through four different sampling techniques. By using multi-event capture–recapture models, we estimated survival probabilities for two broadly defined age classes (cubs and older individuals), even though the age of the majority of sampled bears was unknown. We also applied the Pradel model to provide a preliminary assessment of population trend during the study period. Survival was different between cubs [ϕ = 0.51, 95% CI (0.22, 0.79)], adult males [ϕ = 0.85, 95% CI (0.76, 0.91)] and adult females [ϕ = 0.92, 95% CI (0.87, 0.95)], no temporal variation in survival emerged, suggesting that bear survival remained substantially stable throughout the study period. The Pradel analysis of population trend yielded an estimate of λ = 1.009 [SE = 0.018; 95% CI (0.974, 1.046)]. Our results indicate that, despite the status of full legal protection, the basically stable demography of this relict population is compatible with the observed lack of range expansion, and that a relatively high cub mortality could be among the main factors depressing recruitment and hence population growth.     

Risk of Breast Cancer in Females With Hypothyroidism: A Nationwide,Population-Based,Cohort Study

ObjectivesThe results of studies investigating the relationship between breast cancer and hypothyroidism vary greatly from study to study. In this study, we analyzed a large and reliable, population-based database to gain a better understanding of the correlation.MethodsThis retrospective cohort study analyzed patients with hypothyroidism between January 1, 2000 and December 31, 2012 (hypothyroidism cohort) from the Longitudinal Health Insurance Database 2000 in Taiwan. For each woman with hypothyroidism, 1 woman without a history of breast cancer was randomly selected from the Longitudinal Health Insurance Database 2000 and frequency matched (1:4) with women without hypothyroidism by age and index year of hypothyroidism. The study outcome was the diagnosis of breast cancer during a 12-year follow-up period.ResultsIn this study, 6665 women with hypothyroidism and 26 660 women without hypothyroidism were identified. The hypothyroidism cohort had a significantly higher risk of breast cancer than the nonhypothyroidism cohort (adjusted hazard ratio [aHR] 1.69 [95% CI, 1.15-2.49]; P = .01), especially in the group aged 40 to 64 years (aHR 2.07 [95% CI, 1.32-3.23]; P = .01). Women in the hypothyroidism cohort taking levothyroxine for a duration ˃588 days showed a significantly decreased risk of breast cancer (aHR 0.37 [95% CI, 0.19-0.71]; P = .003).ConclusionWomen with hypothyroidism are at a higher risk of breast cancer than those without hypothyroidism. Levothyroxine may reduce the risk of breast cancer in a woman with hypothyroidism.     

Pooling analysis reveals that galectin-1 is a reliable prognostic biomarker in various cancers

Galectin-1 is reported to be upregulated in various human cancers. However, the relationship between galectin-1 expression and cancer prognosis has not been systematically assessed. In this study, we searched PubMed, Web of Science, and Embase to collect all relevant studies and a meta-analysis was performed. We found that increased galectin-1 expression was associated with tumor size (odds ratio [OR] = 1.75; 95% confidence interval [CI]: 1.06–2.89; p = 0.029), clinical stage (OR = 3.89; 95% CI: 2.40–6.31; p < 0.001), and poorer differentiation (OR = 1.39; 95% CI: 1.14–1.69; p = 0.001), but not with age (OR = 1.07; 95% CI: 0.82–1.39; p = 0.597), sex (OR = 0.89; 95% CI: 0.74–1.07; p = 0.202), or lymph node metastasis (OR = 2.57; 95% CI: 0.98–6.78; p = 0.056). In addition, we found that high galectin-1 expression levels were associated with poor overall survival (HR = 2.12; 95% CI: 1.71–2.64; p < 0.001). The results were further validated using The Cancer Genome Atlas data set. Moreover, high galectin-1 expression was significantly associated with disease-free survival (hazard ratio [HR] = 1.60; 95% CI: 1.17–2.19; p = 0.003), progression-free survival (HR = 1.93; 95% CI: 1.65–2.25; p < 0.001), and cancer-specific survival (HR = 1.82; 95% CI: 1.30–2.55; p < 0.001). Our meta-analysis demonstrated that galectin-1 might be a useful common biomarker for predicting prognosis in patients with cancer.     

Population-based cancer survival in the Golestan province in the northeastern part of Iran 2007–2012

ObjectiveWe studied 5-year relative survival (RS) for 14 leading cancer sites in the population-based cancer registry (PBCR) of Golestan province in the northeastern part of Iran.MethodologyWe followed patients diagnosed in 2007–2012 through data linkage with different databases, including the national causes of death registry and vital statistics office. We also followed the remaining patients through active contact. We used relative survival (RS) analysis to estimate 5-year age-standardized net survival for each cancer site. Multiple Imputation (MI) method was performed to obtain vital status for loss to follow-up (LTFU) cases.ResultsWe followed 6910 cancer patients from Golestan PBCR. However, 2162 patients were loss to follow-up. We found a higher RS in women (29.5%, 95% CI, 27.5, 31.7) than men (21.0%, 95% CI, 19.5, 22.5). The highest RS was observed for breast cancer in women (RS=49.8%, 95% CI, 42.2, 56.9) and colon cancer in men (RS=37.9%, 95% CI, 31.2, 44.6). Pancreatic cancer had the lowest RS both in men (RS= 8.7%, 95% CI, 4.1, 13.5) and women (RS= 7.9%, 95% CI, 5.0, 10.8)ConclusionAlthough the 5-year cancer survival rates were relatively low in the Golestan province, there were distinct variations by cancer site. Further studies are required to evaluate the survival trends in Golestan province over time and compare them with the rates in the neighboring provinces and other countries in the region.     

Polymorphisms in the melanocortin-1 receptor (MC1R) and agouti signaling protein (ASIP) genes in Korean vitiligo patients

We have examined the frequency of SNP polymorphisms within the melanocortin-1 receptor (MC1R) and agouti signaling protein (ASIP) genes in 114 Korean vitiligo patients and 111 normal controls to assess the association of these loci with vitiligo risk. Using direct sequencing techniques, we found the following five MC1R coding region SNPs: Arg67Gln (G200A), Val92Met (G274A), Ile120Thr (T359C), Arg160Arg (C478A), and Gln163Arg (A488G). Of these, the most common were Val92Met at 14% in patients vs. 9% in controls (P = 0.17) and Gln163Arg at 17% in patients vs. 17% in controls (P = 0.84). Presence of the A allele of Val92Met (G274A) was higher in vitiligo patients [P = 0.12, odds ratio (OR) [95% confidence interval (CI)] = 1.68 (0.86-3.25)]. The other three variants showed a frequency <5% of both patients and controls. The ASIP 3'UTR genotype (g.8818A-G) was also assessed in the same subjects. The frequency of the G allele of 3'UTR in ASIP was 17% in vitiligo and 12% in controls [P = 0.14, OR (95% CI) = 1.49 (0.87-2.54)]. Carriage of the G allele was higher in vitiligo patients [P = 0.17, OR (95% CI) = 1.50 (0.83-2.72)], and those who also carried MC1R Val92Met were more prone to vitiligo [eight of 111 patients vs. four of 111 in controls, P = 0.14, OR (95% CI) = 2.75 (0.71-8.69)]. None of these associations, however, reached statistical significance.     

XPC Lys939Gln and Ala499Val polymorphisms in colorectal cancer susceptibility: a meta-analysis of case–control studies

The XPC Lys939Gln and Ala499Val polymorphisms were likely to be involved with the development of colorectal cancer. However, there had been inconsistent reports of association. This meta-analysis of literatures was performed to draw a more precise estimation of the relationship. We systematically searched PubMed, Embase and Web of Science for relevant articles with a time limit of December 2012. The strength of association between the XPC Lys939Gln and Ala499Val polymorphisms and colorectal cancer susceptibility were assessed by odds ratio (OR) with the corresponding 95 % confidence interval (95 % CI). This meta-analysis including six case–control studies evaluated the associations between the two XPC polymorphisms (Lys939Gln, Ala499Val) and colorectal cancer susceptibility. For XPC Lys939Gln, no obvious associations were found for all genetic models [CC vs AA: OR (95 % CI) = 1.12 (0.94–1.32); CA vs AA: OR (95 % CI) = 1.08 (0.94–1.24); the dominant model: OR (95 % CI) = 1.09 (0.97–1.23); the recessive model: OR (95 % CI) = 1.07 (0.92–1.25)]. For XPC Ala499Val, no obvious associations were also not found for all genetic models [TT vs CC: OR (95 % CI) = 0.84 (0.65–1.10); CT vs CC: OR (95 % CI) = 1.00 (0.86–1.15); the dominant model: OR (95 % CI) = 0.98 (0.85–1.12); the recessive model: OR (95 % CI) = 0.87 (0.67–1.12)]. This meta-analysis suggested that both the XPC Lys939Gln and Ala499Val polymorphisms were not risk factors for increasing colorectal cancer.     

Impact of comorbidity on survival by tumour location: Breast,colorectal and lung cancer (2000–2014)

BackgroundTo assess the impact of comorbidity, measured by the Charlson Comorbidity Index (CCI), on survival in breast, colorectal and lung cancer.MethodsWe identified 3455 breast cancer, 3336 colorectal cancer and 2654 lung cancer patients through the Hospital del Mar cancer registry. The prevalence of comorbidities according to the CCI was calculated. Kaplan-Meier curves and the log-rank test were used to compare survival curves for each cancer location. Cox regression was used to calculate survival hazard ratios and 1-, 3- and 5-year mortality rate ratios adjusted by age, sex, CCI, place of first consultation, stage, treatment and period of diagnosis.ResultsThe overall unadjusted 5-year follow-up survival proportion was 82.6% for breast cancer, 55.7% for colorectal cancer, and 16.3% for lung cancer. Overall survival was associated with CCI ≥ 3 in breast cancer (HR: 2.33 95%CI: 1.76–3.08), colorectal cancer (HR: 1.39; 95%CI: 1.13–1.70) and lung cancer (HR: 1.22; 95%CI: 1.06–1.40). In breast cancer, the higher the CCI, the higher the adjusted mortality rate ratio and differences were greater in 5-year than in 1-year follow-up survival.ConclusionsComorbidity is a significant predictor of overall survival in cancer patients; however, it has a stronger impact on survival in breast cancer than in colorectal and lung cancer.     

Progress in cancer survival across last two decades: A nationwide study of over 1.2 million Polish patients diagnosed with the most common cancers

BackgroundThe purpose of this study was to estimate the high incidence cancers survival in Poland between 2000 and 2018, with the following aim to monitor the national polish cancer control program 2020–2030 effectiveness. We calculated survival in cancer of lung, breast, prostate, colon, rectum, ovarian, cervical cancers, and skin melanoma.MethodsData were obtained from the Polish Cancer Registry (PLCR). We estimated age-standardized 5-year net survival (NS) with the life table method and the Pohar-Perme estimator using the International Cancer Survival Standard weights. The corresponding 95% confidence intervals (95% CI) were estimated with log transformation.ResultsOverall, 1,288,944 high incidence cancer cases were included in the study (622,486 men and 666,458 women). In 2015–2018 age-standardized 5-year NS was 85.2% (95% CI = 84.6% to 85.8%) in prostate cancer, 80.0% (79.5% to 80.4%) breast cancer, 77.3%(76.4% to 78.1%) melanoma, 58.5% (57.5% to 59.5%) cervical cancer, 57.9% (57.3% to 58.5%) colon cancer, 52.1% (51.3% to 52.9%) rectal cancer, 43.3% (42.4% to 44.3%) ovarian cancer, and 17.8% (17.4% to 18.1%) for lung cancer. Between the 2000–2004 and 2015–2018 the highest increase in survival was noted for prostate cancer (14.6% points [pp]; from 70.6% to 85.2%) and the lowest for lung cancer (4.5 pp; from 13.3% to 17.8%).ConclusionCancer survivorship has been consistently improving during the last two decades. Notwithstanding these overall encouraging results, more extraordinary efforts are needed to close the cancer survival gap in Poland.     

Prognostic Significance of Tumor-Associated Macrophages in Solid Tumor: A Meta-Analysis of the Literature

Purpose

Tumor associated macrophages (TAMs) are considered with the capacity to have both negative and positive effects on tumor growth. The prognostic value of TAM for survival in patients with solid tumor remains controversial.

Experimental Design

We conducted a meta-analysis of 55 studies (n = 8,692 patients) that evaluated the correlation between TAM (detected by immunohistochemistry) and clinical staging, overall survival (OS) and disease free survival (DFS). The impact of M1 and M2 type TAM (n = 5) on survival was also examined.

Results

High density of TAM was significantly associated with late clinical staging in patients with breast cancer [risk ratio (RR)  = 1.20 (95% confidence interval (CI), 1.14–1.28)] and bladder cancer [RR = 3.30 (95%CI, 1.56–6.96)] and with early clinical staging in patients with ovarian cancer [RR = 0.52 (95%CI, 0.35–0.77)]. Negative effects of TAM on OS was shown in patients with gastric cancer [RR = 1.64 (95%CI, 1.24–2.16)], breast cancer [RR = 8.62 (95%CI, 3.10–23.95)], bladder cancer [RR = 5.00 (95%CI, 1.98–12.63)], ovarian cancer [RR = 2.55 (95%CI, 1.60–4.06)], oral cancer [RR = 2.03 (95%CI, 1.47–2.80)] and thyroid cancer [RR = 2.72 (95%CI, 1.26–5.86)],and positive effects was displayed in patients with colorectal cancer [RR = 0.64 (95%CI, 0.43–0.96)]. No significant effect was showed between TAM and DFS. There was also no significant effect of two phenotypes of TAM on survival.

Conclusions

Although some modest bias cannot be excluded, high density of TAM seems to be associated with worse OS in patients with gastric cancer, urogenital cancer and head and neck cancer, with better OS in patients with colorectal cancer.     

Environmental and human demographic features associated with epizootic raccoon rabies in Maryland, Pennsylvania, and Virginia

We assessed land use and demographic data as predictors discriminating between counties experiencing large or small first epizootics of rabies among raccoons (Procyon lotor). Monthly county reports of raccoons testing positive for rabies were obtained from rabies surveillance databases from Maryland, Pennsylvania, and Virginia (USA). Environmental and demographic data for the three states were obtained from public sources. On the basis of total reports of raccoon rabies during the first defined epizootic period, the 203 counties were dichotomized at the 75th percentile as having a large epizootic (> or = 24 rabid raccoons in the first epizootic) (51 counties) or a small epizootic or no epizootic (152 counties). A high percentage of agricultural land use [OR = 9.1, 95% CI (3.6-23.1)], high water coverage in combination with low human population density [OR = 8.8, 95% CI (2.9-27.0)], and low water coverage with high human population density [OR = 11.7, 95% CI (4.0-34.1)] were positively associated with large rabies epizootics. Counties with more than 15% of mixed forest were less likely to experience large epizootics than were counties with < or = 15% of mixed forest [OR = 0.3, 95% CI (0.1, 0.9)]. A combination of land use and human population density measures provided the best model for determining epizootic size and may be important predictors of epizootic behavior and risk of exposure to this reservoir species.     

Serum IL-10 Predicts Worse Outcome in Cancer Patients: A Meta-Analysis

BackgroundIL–10 is an important immunosuppressive cytokine which is frequently elevated in tumor microenvironment. Some studies have reported that overexpression of serous IL–10 is correlated with worse outcome in patients with malignant tumor. Here, we conducted a meta-analysis to assess the prognostic impact of serous IL–10 expression in cancer patients.MethodsWe searched PubMed and EBSCO for studies in evaluating the association of IL–10 expression—in serum and clinical outcome in cancer patients. Overall survival (OS) was the primary prognostic indicator and disease-free survival (DFS) was the secondary indicator. Extracted data were computed into odds ratios (ORs) and 95% confidence interval (CI) or a P value for survival at 1, 3 and 5 years. Pooled data were weighted using the Mantel–Haenszel Fixed-effect model. All statistical tests were two-sided.ResultsA total of 1788 patients with cancer from 21 published studies were incorporated into this meta-analysis. High level of serum IL–10 was significantly associated with worse OS at 1-year (OR = 3.70, 95% CI = 2.81 to 4.87, P < 0.00001), 3-year (OR = 3.33, 95% CI = 2.53 to 4.39, P < 0.0001) and 5-year (OR = 2.80, 95% CI = 1.90 to 4.10, P < 0.0001) of cancer. Subgroup analysis showed that the correlation between serous IL–10 expression and outcome of patients with solid tumors and hematological malignancies are consistent. The association of IL–10 with worse DFS at 1-year (OR = 3.34, 95% CI = 1.40 to 7.94, P = 0.006) and 2-year (OR = 3.91, 95% CI = 1.79 to 8.53, P = 0.0006) was also identified.ConclusionsHigh expression of serous IL–10 leads to an adverse survival in most types of cancer. IL–10 is a valuable biomarker for prognostic prediction and targeting IL–10 treatment options for both solid tumors and hematological malignancies.