Gallbladder disease and pancreatic cancer risk: a multicentric case-control European study

BACKGROUND AND AIMS

The overall evidence on the association between gallbladder conditions (GBC: gallstones and cholecystectomy) and pancreatic cancer (PC) is inconsistent. To our knowledge, no previous investigations considered the role of tumour characteristics on this association. Thus, we aimed to assess the association between self-reported GBC and PC risk, by focussing on timing to PC diagnosis and tumour features (stage, location, and resection).

METHODS

Data derived from a European case-control study conducted between 2009 and 2014 including 1431 PC cases and 1090 controls. We used unconditional logistic regression models to estimate odds ratios (ORs) and corresponding 95% confidence intervals (CIs) adjusted for recognized confounders.

RESULTS

Overall, 298 (20.8%) cases and 127 (11.6%) controls reported to have had GBC, corresponding to an OR of 1.70 (95% CI 1.33-2.16). The ORs were 4.84 (95% CI 2.96-7.89) for GBC diagnosed <3 years before PC and 1.06 (95% CI 0.79-1.41) for ≥3 years. The risk was slightly higher for stage I/II (OR = 1.71, 95% CI 1.15-2.55) vs. stage III/IV tumours (OR = 1.23, 95% CI 0.87-1.76); for tumours sited in the head of the pancreas (OR = 1.59, 95% CI 1.13-2.24) vs. tumours located at the body/tail (OR = 1.02, 95% CI 0.62-1.68); and for tumours surgically resected (OR = 1.69, 95% CI 1.14-2.51) vs. non-resected tumours (OR = 1.25, 95% CI 0.88-1.78). The corresponding ORs for GBC diagnosed ≥3 years prior PC were close to unity.

CONCLUSION

Our study supports the association between GBC and PC. Given the time-risk pattern observed, however, this relationship may be non-causal and, partly or largely, due to diagnostic attention and/or reverse causation.

A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) is usually diagnosed in late adulthood; therefore, many patients suffer or have suffered from other diseases. Identifying disease patterns associated with PDAC risk may enable a better characterization of high-risk patients.

METHODS

Multimorbidity patterns (MPs) were assessed from 17 self-reported conditions using hierarchical clustering, principal component, and factor analyses in 1705 PDAC cases and 1084 controls from a European population. Their association with PDAC was evaluated using adjusted logistic regression models. Time since diagnosis of morbidities to PDAC diagnosis/recruitment was stratified into recent (<3 years) and long term (≥3 years). The MPs and PDAC genetic networks were explored with DisGeNET bioinformatics-tool which focuses on gene-diseases associations available in curated databases.

RESULTS

Three MPs were observed: gastric (heartburn, acid regurgitation, Helicobacter pylori infection, and ulcer), metabolic syndrome (obesity, type-2 diabetes, hypercholesterolemia, and hypertension), and atopic (nasal allergies, skin allergies, and asthma). Strong associations with PDAC were observed for ≥2 recently diagnosed gastric conditions [odds ratio (OR), 6.13; 95% confidence interval CI 3.01-12.5)] and for ≥3 recently diagnosed metabolic syndrome conditions (OR, 1.61; 95% CI 1.11-2.35). Atopic conditions were negatively associated with PDAC (high adherence score OR for tertile III, 0.45; 95% CI, 0.36-0.55). Combining type-2 diabetes with gastric MP resulted in higher PDAC risk for recent (OR, 7.89; 95% CI 3.9-16.1) and long-term diagnosed conditions (OR, 1.86; 95% CI 1.29-2.67). A common genetic basis between MPs and PDAC was observed in the bioinformatics analysis.

CONCLUSIONS

Specific multimorbidities aggregate and associate with PDAC in a time-dependent manner. A better characterization of a high-risk population for PDAC may help in the early diagnosis of this cancer. The common genetic basis between MP and PDAC points to a mechanistic link between these conditions.

Quantitative detection of Helicobacter pylori in water samples by real-time PCR amplification of the cag pathogenicity island gene, cagE

AIMS

A new real-time PCR assay that simultaneously amplifies a 102-bp fragment of the cagE gene from Helicobacter pylori and a new internal positive control containing a specific sequence of the gyrB gene from Aeromonas hydrophila, was developed and validated for the detection of H. pylori in environmental samples.

METHODS AND RESULTS

The specificity, limits of detection and quantification, repeatability, reproducibility, and accuracy of the method were calculated. The resulting values confirmed the applicability of the method for the quantitative detection of H. pylori. The feasibility of the method was also evaluated by testing 13 pyloric antrum-positive biopsies and 69 water samples, including potable (10), surface (19) and wastewater (40) matrices. The results showed that all the biopsies and 3 of the 40 wastewater samples analysed were positive.

CONCLUSIONS

This real-time PCR method provides a sensitive, specific, and accurate method for the rapid quantification of H. pylori in environmental samples.

SIGNIFICANCE AND IMPACT OF THE STUDY

The PCR diagnostic system proposed in this work, provides a suitable tool for the quantitative detection of H. pylori in environmental samples and can be useful for verifying the role of water as a potential route of its transmission.

Validation of a new seminested PCR-based detection method for Legionella pneumophila

We report a new seminested PCR method for detection of Legionella pneumophila based on the simultaneous amplification of a 387 bp fragment of the dotA gene and a 827 bp recombinant fragment that serves as an internal positive control. This new detection system was validated and its specificity and detection limit were determined. Parallel analysis of 90 environmental samples to compare this method, a real-time PCR method and the standard culture isolation method, demonstrated that this seminested method is useful for the study of L. pneumophila.

Quantitative detection of Legionella pneumophila in water samples by immunomagnetic purification and real-time PCR amplification of the dotA gene

A new real-time PCR assay was developed and validated in combination with an immunomagnetic separation system for the quantitative determination of Legionella pneumophila in water samples. Primers that amplify simultaneously an 80-bp fragment of the dotA gene from L. pneumophila and a recombinant fragment including a specific sequence of the gyrB gene from Aeromonas hydrophila, added as an internal positive control, were used. The specificity, limit of detection, limit of quantification, repetitivity, reproducibility, and accuracy of the method were calculated, and the values obtained confirmed the applicability of the method for the quantitative detection of L. pneumophila. Moreover, the efficiency of immunomagnetic separation in the recovery of L. pneumophila from different kinds of water was evaluated. The recovery rates decreased as the water contamination increased (ranging from 59.9% for distilled water to 36% for cooling tower water), and the reproducibility also decreased in parallel to water complexity. The feasibility of the method was evaluated by cell culture and real-time PCR analysis of 60 samples in parallel. All the samples found to be positive by cell culture were also positive by real-time PCR, while only eight samples were found to be positive only by PCR. Finally, the correlation of both methods showed that the number of cells calculated by PCR was 20-fold higher than the culture values. In conclusion, the real-time PCR method combined with immunomagnetic separation provides a sensitive, specific, and accurate method for the rapid quantification of L. pneumophila in water samples. However, the recovery efficiency of immunomagnetic separation should be considered in complex samples.

Detection of HuD transcripts by means of reverse transcriptase and polymerase chain reaction: implications for the detection of minimal residual disease in patients with small cell lung cancer

Small cell lung cancer (SCLC) expresses neuroectodermal markers including HuD, the best characterized member of the Hu gene family. The aim of this study is to optimize a simple and sensitive reverse transcriptase-polymerase chain reaction assay to detect circulating HuD-expressing cells for the early detection of SCLC recurrences. HuD-specific primers that selectively amplify the three HuD isoforms allowed the detection of one tumor cell/10(6) non-tumor cells. However, HuD transcripts were also detected in the mononuclear fraction of all samples from normal individuals (n=6) and patients with SCLC (n=5). By contrast, HuD protein was not detected in these fractions using Western blotting. More quantitative assays are necessary to examine the value of HuD transcript detection for the identification of tumor recurrences.

The 18q21 region in colorectal and pancreatic cancer: independent loss of DCC and DPC4 expression

The 18q21 region is frequently altered in gastrointestinal tumors. Three candidate tumor suppressor genes have been identified in it: DCC, Smad4/DPC4 and Smad2; the mechanisms involving their inactivation have not been completely elucidated. In this study, genetic losses at 18q21 and expression of DCC and DPC4 in colorectal (n=12) and pancreatic (n=16) cell lines and in colorectal tissues (n=10) were analyzed. The status of the 18q21 region was assessed using microsatellite analysis and duplex PCR of exonic sequences; expression was analyzed by RT-PCR; mutational analysis of DPC4 cDNA was performed in selected cases. Homozygous losses of microsatellite markers at 18q21 were not observed in colon or pancreas lines; however, a higher proportion of apparent homozygosity than expected was found. DCC and DPC4 transcripts were detected in 11/12 and 12/12 colorectal cancer lines, respectively. In tumors, homozygous losses at 18q21 were detected in three cases, without affecting DCC. All tumors retained DCC and DPC4 mRNA expression. In pancreatic lines, DPC4 was inactivated through homozygous deletion (n=5), intragenic mutation (n=3), and lack of protein (n=2).

IN CONCLUSION

(1) microsatellite analysis does not provide adequate information regarding homozygous losses at 18q21; (2) approximately 65% of pancreas cancer lines show inactivation of DPC4; and (3) loss of DCC and DPC4 occur independently.