Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

In tumor development and microenvironment formation, alternative splicing (AS) has become increasingly important. Nevertheless, the clinical significance of AS in lung adenocarcinoma (LUAD) remains unclear. A comprehensive assessment of AS events in 455 LUAD patients was performed using data from The Cancer Genome Atlas (TCGA) database in this study. Lasso and Cox regression analyses were performed to identify survival-related significant AS events. The tumor microenvironment was assessed using CIBERSORT, a single-sample gene set enrichment analysis, and the ESTIMATE software package. Fifteen AS events screened by Lasso regression were constructed to build a risk prediction model. FAXDC2, CDKN2A, and LAMA3 were identified in this study. In addition, immune scores, stromal scores, and tumor purity in different risk groups were assessed. The risk score was also correlated with tumor infiltrating immune cells. This study suggests that AS events are associated with tumor development and the immune microenvironment, and three genes, FAXDC2, CDKN2A, and LAMA3 are identified, which may be potential markers of prognosis in LUAD.     

High LIMP2 expression serves as a predictor for improved clinical outcomes in gastric cancer patients

Lysosomal integral membrane protein-2 (LIMP2) is an important component of innate immunity. However, its role in the anti-tumor response remains unknown. Here, we found that the level of LIMP2 mRNA was frequently upregulated in gastric cancer (GC) tissues according to the TCGA, which was confirmed by immunohistochemistry in 329 cases. LIMP2 expression was significantly associated with Lauren classification (P=0.042), depth of invasion (P=0.016), lymph node metastasis (P=0.039) and TNM stage (P=0.027). LIMP2 expression (P<0.001), differentiation (P<0.001), TNM stage (P<0.001) and preoperative CEA (P=0.018) can be used as independent prognostic factors. GC patients with higher levels of LIMP2 mRNA experienced improved clinical outcomes. Mechanically, the TGF-β signaling pathway, the ERBB signaling pathway, and Toll-like receptor signaling were enriched in proteins with higher LIMP2. Moreover, LIMP2 expression was positively related with M1 tumor-associated macrophages (TAMs) in TCGA data, which was verified by capturing LIMP2 and CD86 co-expression in GC samples. The study suggests that LIMP2 expression in GC would pr edict improved outcomes with M1 TAMs infiltration.     

Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008

MiR-141 has gradually demonstrated its value in the diagnosis of prostate cancer. However, the diagnostic parameters applied in previous studies were different. This systematic review was conducted to explore the diagnostic value of miR-141 in prostate cancer. A comprehensive search of related literature in PubMed, Medline, the Cochrane Library and Embase databases was performed. Seven studies were included which assessed the diagnostic value of miR-141 in patients with prostate cancer up to October 31, 2019. Meta-disc version 1.4 and STATA software version 12.0 were used to analyze the data. The pooled sensitivity and specificity were 0.70 (95% CI 0.64~0.75) and 0.73 (95% CI 0.64~0.80), respectively. The positive likelihood ratio (PLR) was 2.88 (95% CI 1.40~5.93), and negative likelihood ratio (NLR) was 0.38 (95% CI 0.20~0.71). The pooled diagnostic odds ratio (DOR) of miR-141 for prostate cancer was observed to be 9.94 (95% CI: 2.55~38.80). The summary area under the receiver operating characteristic (ROC) curve was 0.83 (95% CI: 0.79~0.86). The results of meta-regression suggested that heterogeneity was mainly derived from patient age. The Fagan nomogram results showed a significant increase when correlating miR-141 with the diagnosis of prostate cancer. This meta-analysis suggests that miR-141 has a high diagnostic value for prostate cancer. In future, large-scale prospective studies will be done to verify and evaluate this result.     

Autophagy-mediated regulation of macrophages and its applications for cancer

Autophagy is a highly conserved homeostatic pathway that plays an important role in tumor development and progression by acting on cancer cells in a cell-autonomous mechanism. However, the solid tumor is not an island, but rather an ensemble performance that includes nonmalignant stromal cells, such as macrophages. A growing body of evidence indicates that autophagy is a key component of the innate immune response. In this review, we discuss the role of autophagy in the control of macrophage production at different stages (including hematopoietic stem cell maintenance, monocyte/macrophage migration, and monocyte differentiation into macrophages) and polarization and discuss how modulating autophagy in tumor-associated macrophages (TAMs) may represent a promising strategy for limiting cancer growth and progression.     

Tumor-associated macrophages in direct contact with prostate cancer cells promote malignant proliferation and metastasis through NOTCH1 pathway

Background: M2 macrophages are well accepted to promote cancer progression in the prostate cancer (PCa). Paracrine is the principally studied mode of communication between M2 macrophages and tumor cells. In addition to this, we present here a novel model to demonstrate these cellular communications.Methods: PCa cells were co-cultured with THP-1/ human peripheral blood mononuclear cells derived M2 macrophages in direct contact manner. Cancer cell proliferation and invasion were examined to explain how direct contact communicates. Cell-based findings were validated in two xenograft models and patients samples.Results: M2 macrophage direct contact induced a higher proliferation and invasion in PCa cells when compared with noncontact coculture manner. In direct contact manner, NOTCH1 pathway was greatly activated in PCa cells, induced by elevated γ-secretase activity and higher coactivator MAML2 expression. Additionally, blocking γ-secretase activity and depletion of MAML2 completely abolished M2 macrophage direct contact-mediated PCa cell proliferation and invasion. In vivo, inhibiting NOTCH1 signalling impaired M2 macrophage-mediated PCa tumor growth and lung metastasis. Notably, M2 macrophage infiltration as well as high NOTCH1 signaling in cancer cells indicated more aggressive features and worse survival in PCa patients.Conclusion: Our results demonstrated the cell-cell direct contact pattern is an important way in PCa microenvironment cell communication. In this manner, elevated γ-secretase activity and MAML2 expression induced higher NOTCH1 signalling in PCa cells, which increased tumor cells proliferation and invasion. This potentially provided a therapeutic target for PCa.     

Using mortality to predict incidence for rare and lethal cancers in very small areas

Incidence and mortality figures are needed to get a comprehensive overview of cancer burden. In many countries, cancer mortality figures are routinely recorded by statistical offices, whereas incidence depends on regional cancer registries. However, due to the complexity of updating cancer registries, incidence numbers become available 3 or 4 years later than mortality figures. It is, therefore, necessary to develop reliable procedures to predict cancer incidence at least until the period when mortality data are available. Most of the methods proposed in the literature are designed to predict total cancer (except nonmelanoma skin cancer) or major cancer sites. However, less frequent lethal cancers, such as brain cancer, are generally excluded from predictions because the scarce number of cases makes it difficult to use univariate models. Our proposal comes to fill this gap and consists of modeling jointly incidence and mortality data using spatio-temporal models with spatial and age shared components. This approach allows for predicting lethal cancers improving the performance of individual models when data are scarce by taking advantage of the high correlation between incidence and mortality. A fully Bayesian approach based on integrated nested Laplace approximations is considered for model fitting and inference. A validation process is also conducted to assess the performance of alternative models. We use the new proposals to predict brain cancer incidence rates by gender and age groups in the health units of Navarre and Basque Country (Spain) during the period 2005–2008.     

Trends in incidence and mortality of lung cancer in Switzerland: Possible explanations and open questions

BackgroundUsing US population-level data, it has been suggested that novel treatment advances, particularly targeted therapies, have contributed to a sharp fall in NSCLC mortality.Switzerland is a high-income country, with a universal, highly performant health care system, easy access to novel drugs but with different dynamics concerning the smoking epidemic than the US.MethodsWe use population-based data from Swiss cancer registries to analyze the trends in incidence, mortality and survival and relate them to recent drug approvals.ResultsThe incidence of NSCLC and SCLC was stable from 1980 to 2018. We noted an important difference between sexes, with an important decrease in men and increase in women, especially for NSCLC. 1-y and 5-y survival have improved for NSCLC between 2004 and 2008 and 2014–2018.ConclusionThese findings should be regarded as the results of a multifactorial improvement in care and it is difficult for us to pinpoint a unique cause explaining the reduction in mortality     

Assessment of lead-time bias in estimates of relative survival for breast cancer

Relative survival ratios (RSRs) can be useful for evaluating the impact of changes in cancer care on the prognosis of cancer patients or for comparing the prognosis for different subgroups of patients, but their use is problematic for cancer sites where screening has been introduced due to the potential of lead-time bias. Lead-time is survival time that is added to a patient's survival time because of an earlier diagnosis irrespective of a possibly postponed time of death. In the presence of screening it is difficult to disentangle how much of an observed improvement in survival is real and how much is due to lead-time bias. Even so, RSRs are often presented for breast cancer, a site where screening has led to early diagnosis, with the assumption that the lead-time bias is small. We describe a simulation-based framework for studying the lead-time bias due to mammography screening on RSRs of breast cancer based on a natural history model developed in a Swedish setting. We have performed simulations, using this framework, under different assumptions for screening sensitivity and breast cancer survival with the aim of estimating the lead-time bias. Screening every second year among ages 40–75 was introduced assuming that screening had no effect on survival, except for lead-time bias. Relative survival was estimated both with and without screening to enable quantification of the lead-time bias. Scenarios with low, moderate and high breast cancer survival, and low, moderate and high screening sensitivity were simulated, and the lead-time bias assessed in all scenarios.     

Inverse Data-Driven Modeling and Multiomics Analysis Reveals Phgdh as a Metabolic Checkpoint of Macrophage Polarization and Proliferation

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Mortality and incidence of new primary cancers in men with prostate cancer: A Danish population-based cohort study

Background: Prostate cancer (PC) survivors may have an increased risk of new primary cancers (NPCs) due to shared risk factors or PC-directed treatments. Methods: Using Danish registries, we conducted a cohort study of men with (n = 30,220) and without PC (n = 151,100) (comparators), matched 1:5 on age and PC diagnosis/index date. We computed incidence rates of NPCs per 10,000 person years (PY) and associated 95% confidence intervals (CI), and used Cox proportional hazards regression to compute hazard ratios (HRs) and 95%CI, adjusting for comorbidities. In order to obviate any impact of shorter survival among prostate cancer patients, we censored comparator patients when the matched prostate cancer patient died or was censored. Results: Follow-up spanned 113,487 PY and 462,982 PY in the PC and comparison cohorts, respectively. 65% of the cohorts were aged >70 years at diagnosis. Among PC patients, 51% had distant/unspecified stage, and 63% had surgery as primary treatment. The PC cohort had lower incidence of NPCs than their comparators. The adjusted HR of NPC among men with PC versus the comparators was 0.84 (95%CI = 0.80, 0.88). Lowest HRs were among older men, those with distant stage, and were particularly evident for cancers of the brain, liver, pancreas, respiratory, upper gastrointestinal, and urinary systems. Conclusions: We find no evidence of an increased risk of NPCs among men with PC. The deficit of NPCs among men with PC may be a true effect but is more likely due to lower levels of risk factors (e.g., smoking) in PC patients versus comparators, clinical consideration of cancers at new organs as metastases rather than new primaries, or under-recording/under-reporting of NPCs among PC patients.     

Exploration of DNA methylation markers for diagnosis and prognosis of patients with endometrial cancer

The accurate diagnosis of endometrial cancer (EC) holds great promise for improving its treatment choice and prognosis prediction. This work aimed to identify diagnostic biomarkers for differentiating EC tumors from tumors in other tissues, as well as prognostic signatures for predicting survival in EC patients. We identified 48 tissue-specific markers using a cohort of genome-wide methylation data from three common gynecological tumors and their corresponding normal tissues. A diagnostic classifier was constructed based on these 48 CpG markers that could predict cancerous versus normal tissue with an overall correct rate of 98.3% in the entire repository. Fifteen CpG markers associated with the overall survival (OS) and development of EC were also identified based on the methylation patterns of the EC samples. A prognostic model that aggregated these prognostic CpG markers was established and shown to have a higher discriminative ability to distinguish EC patients with an elevated risk of mortality than the FIGO staging system and several other clinical prognostic variables. This study presents the utility of DNA methylation in identifying biomarkers for the diagnosis and prognosis of EC and will help improve our understanding of the underlying mechanisms involved in the development of EC.     

Increased incidence of rare cancers and varied age distributions by cancer group: A population-based cancer registry study in Hiroshima Prefecture,Japan

BackgroundEpidemiological characteristics of many types of rare cancers are limited especially in Asia. Therefore, this study aimed to describe the burden and changing time trends of rare cancers in Hiroshima, Japan.MethodsThe internationally agreed RARECAREnet list of rare cancers was used to identify patients diagnosed with cancers from 2005 to 2015 who were registered in the Hiroshima Prefecture Cancer Registry. Quality indicators specific to rare cancers were assessed by cancer grouping. Crude incidence rates (IRs) and age-standardized rates (ASRs) were calculated for 216 single cancers (rare and common) included in the list. A joinpoint regression was used to analyze age distribution and time trends in the ASRs for 12 internationally agreed rare cancer families. Quality indicators, ASRs, and IRs in Japan were identified to examine IR differences and the effects on data accuracy.ResultsThe 231,328 cases were used to calculate the IRs of each cancer. Epithelial tumors in rare families increased with age, but nonepithelial tumors occurred at any age. The proportion of rare cancer families to total cancers was stable. The time trend for families of head and neck cancers (annual percent change and 95 % confidence interval: 2.4 %; 1.2–3.7 %), neuroendocrine tumors (6.6 %; 5.1–8.1 %), and hematological cancers (4.3 %; 3.2–5.5 %) markedly increased.ConclusionThe ASRs of several rare cancers increased because of increased knowledge of these diseases, improved diagnostic techniques, and aggressive diagnoses.     

MicroRNA‐137 is negatively associated with clinical outcome and regulates tumor development through EZH2 in cervical cancer

We intend to evaluate the expression, clinical relevance, and functional role of microRNA‐137 (miR‐137) in human cervical cancer (CC). MiR‐137 expressions were assessed by qPCR in CC cell lines and human CC tumors. The correlation between endogenous miR‐137 expression and CC patients’ postoperative overall survival was examined statistically. CC cell lines, Ca‐Ski, and SiHa cells were transduced with lentivirus to ectopically upregulate endogenous miR‐137 expressions. Possible inhibitory effects of miR‐137 upregulation on CC in vitro proliferation and migration, as well as in vivo transplantation were evaluated. Targeting of enhancer of zeste homolog 2 (EZH2) gene by miR‐137 in CC was assessed by dual‐luciferase activity assay and qPCR. In CC cells with upregulated miR‐137, EZH2 was overexpressed to assess its direct function in miR‐137 mediated CC proliferation and migration. MiR‐137 was downregulated in both CC cells and human CC tumors. Downregulation of endogenous miR‐137 was significantly correlated with CC patients’ short overall survival. In CC cells, miR‐137 upregulation is tumor‐suppressive by inhibiting proliferation and migration in vitro, and transplantation in vivo. EZH2 was a direct downstream target gene of miR‐137 in CC. Forced overexpression of EZH2 in miR‐137‐upregulated CC cells reversed the tumor‐suppression induced by miR‐137. MiR‐137 is lowly expressed in CC and possibly acting as a negative biomarker for CC patients’ clinical outcome. MiR‐137 upregulation may suppress CC, very likely by inversely regulating EZH2.     

Development of a novel gene signature in patients without Helicobacter pylori infection gastric cancer

Gastric cancer (GC) is one of the most fatal common cancers in worldwide. Helicobacter pylori (H. pylori) infection is closely related to the development of GC, although the mechanism is still unclear. In our study, we aim to develop a robust messenger RNA (mRNA) signature associated with H. pylori (-) GC that can sensitively and efficiently predict the prognostic. The RNA-seq expression profile and corresponding clinical data of 598 gastric cancer samples and 63 normal samples obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database. Using gene set enrichment analysis H. pylori (+) GC and H. pylori (-) GC patients and normal samples to select certain genes for further analysis. Using univariate and multivariate Cox regression model to establish a gene signature for predicting the overall survival (OS). Finally, we identified G2/M related seven-mRNA signature (TGFB1, EGF, MKI67, ILF3, INCENP, TNPO2, and CHAF1A) closely related to the prognosis of patients with H. pylori (-) GC. The seven-mRNA signature was identified to act as an independent prognostic biomarker by stratified analysis and multivariate Cox regression analysis. It was also validated on two test groups from TCGA and GSE15460 and shown that patients with high-risk scores based on the expression of the seven mRNAs had significantly shorter survival times compared to patients with low-risk scores (P < .0001). In this study, we developed a seven-mRNA signature related to G2/M checkpoint from H. pylori (-) GCs that as an independent biomarker potentially with a good performance in predicting OS and might be valuable for the clinical management for patients with GC.     

Presence of cancer cells in gastric lavage of gastric cancer patients as an indicator of advanced disease,predictor of tumour aggressive phenotype and independent prognostic factor for poor survival: The endoluminal metastatic pathway of gastric cancer and GL0/GL1 classification

Objective

As of 2017, the pathobiology of gastric cancer (GC) is far from fully understood; consequently, new methods of basic and advanced research have been proposed and tested. The presence (GL1) vs absence (GL0) of malignant cells exfoliated in gastric lavage (GL) of GC patients was formerly evaluated with diagnostic intent but not for staging or prognostic assessment. We investigated this hitherto unreported application of cytopathology.

Methods

GL was preoperatively and prospectively collected from 80 GC patients and cytologically analysed. The results were compared with the classic clinicopathological features of GC and related to survival. The prognostic value of GL1 was assessed through univariate and multivariate analyses.

Results

GL1 was detected in 36 samples (45%) and correlated with advanced tumour depth (T3‐T4), lymphatic metastasis (N+), distant metastasis (M1) and lymphovascular invasion (LVI1; P=.0317, .0024, .003 and .0028, respectively). Overall survival (OS) was significantly shorter for GL1 (23 months) vs GL0 patients (42 months; P=.005) and GL1 vs GL0 T1 subjects (12.6 vs 47.8 months, P=.0029). Univariate analysis revealed that GL1, N+, M1, LVI1 and advanced stage were significantly associated with OS. Multivariate analysis assessed GL1 as the only independent prognostic factor for worse OS and progression‐free survival (P=.0013 and .0107).

Conclusions

In the present study, GL1 was correlated with advanced disease, aggressive tumour behaviour and poor prognosis. Although additional studies are needed to confirm these findings, the GL0/GL1 classification can be applied to GC patients to achieve higher accuracy in staging, prognostic stratification and treatment selection.     

Increasing incidence and survival of corpus uteri cancer in Estonia over the past two decades

BackgroundCorpus uteri cancer has become the fourth most common female cancer in Europe. In Estonia, the prevalence of obesity is increasing, and corpus uteri cancer survival has been relatively low. The aim of the study was to evaluate incidence, mortality and survival trends of corpus uteri cancer in Estonia by age, stage and histological subtypes with an emphasis on surgical treatment.MethodsEstonian Cancer Registry data on incident cases of corpus uteri cancer were used to examine incidence trends (1995–2016) and calculate relative survival ratios (RSR) (1996–2016). Cases were classified by morphology and FIGO stage. Causes of Death Registry data were used to analyse corrected mortality (1995–2017).ResultsA total of 4281 cases were diagnosed in 1996–2016. A significant increase was seen in age-standardized incidence from 2009, while mortality remained stable throughout the study period. Significant increases were observed for type I cancers and age groups ≥65 years. Overall age-standardized 5-year RSR improved from 70% in 1996–2002 to 78% in 2010–2016. Survival increased for type I cancers, all age groups and all stages (significantly for stage IV). The proportion of surgically treated cases increased significantly from 85% to 89%, with the largest increases seen in older age groups and later stages.DiscussionThe rising corpus uteri cancer incidence in Estonia is driven by the type I cancer trend. Survival gain for later stages and older age groups likely reflected more frequent surgical treatment. To reduce mortality, further efforts are necessary to ensure appropriate care for all patients.