DNA methylation changes measured in pre‐diagnostic peripheral blood samples are associated with smoking and lung cancer risk

DNA methylation changes are associated with cigarette smoking. We used the Illumina Infinium HumanMethylation450 array to determine whether methylation in DNA from pre‐diagnostic, peripheral blood samples is associated with lung cancer risk. We used a case‐control study nested within the EPIC‐Italy cohort and a study within the MCCS cohort as discovery sets (a total of 552 case‐control pairs). We validated the top signals in 429 case‐control pairs from another 3 studies. We identified six CpGs for which hypomethylation was associated with lung cancer risk: cg05575921 in the AHRR gene (p‐value_pooled = 4 × 10^?17), cg03636183 in the F2RL3 gene (p‐value_pooled = 2 × 10 ^{? 13}), cg21566642 and cg05951221 in 2q37.1 (p‐value_pooled = 7 × 10^?16 and 1 × 10^?11 respectively), cg06126421 in 6p21.33 (p‐value_pooled = 2 × 10^?15) and cg23387569 in 12q14.1 (p‐value_pooled = 5 × 10^?7). For cg05951221 and cg23387569 the strength of association was virtually identical in never and current smokers. For all these CpGs except for cg23387569, the methylation levels were different across smoking categories in controls (p‐values_{heterogeneity} ≤ 1.8 x10 ^{? 7}), were lowest for current smokers and increased with time since quitting for former smokers. We observed a gain in discrimination between cases and controls measured by the area under the ROC curve of at least 8% (p‐values ≥ 0.003) in former smokers by adding methylation at the 6 CpGs into risk prediction models including smoking status and number of pack‐years. Our findings provide convincing evidence that smoking and possibly other factors lead to DNA methylation changes measurable in peripheral blood that may improve prediction of lung cancer risk.     

Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study

Noninvasive biomarkers for early pancreatic ductal adenocarcinoma (PDAC) diagnosis and disease risk stratification are greatly needed. We conducted a nested case‐control study within the Prospective Investigation into Cancer and Nutrition (EPIC) cohort to evaluate prediagnostic microRNAs (miRs) as biomarkers of subsequent PDAC risk. A panel of eight miRs (miR‐10a, ‐10b, ‐21‐3p, ‐21‐5p, ‐30c, ‐106b, ‐155 and ‐212) based on previous evidence from our group was evaluated in 225 microscopically confirmed PDAC cases and 225 controls matched on center, sex, fasting status and age/date/time of blood collection. MiR levels in prediagnostic plasma samples were determined by quantitative RT‐PCR. Logistic regression was used to model levels and PDAC risk, adjusting for covariates and to estimate area under the receiver operating characteristic curves (AUC). Plasma miR‐10b, ‐21‐5p, ‐30c and ‐106b levels were significantly higher in cases diagnosed within 2 years of blood collection compared to matched controls (all p‐values <0.04). Based on adjusted logistic regression models, levels for six miRs (miR‐10a, ‐10b, ‐21‐5p, ‐30c, ‐155 and ‐212) overall, and for four miRs (‐10a, ‐10b, ‐21‐5p and ‐30c) at shorter follow‐up time between blood collection and diagnosis (≤5 yr, ≤2 yr), were statistically significantly associated with risk. A score based on the panel showed a linear dose‐response trend with risk (p‐value = 0.0006). For shorter follow‐up (≤5 yr), AUC for the score was 0.73, and for individual miRs ranged from 0.73 (miR‐212) to 0.79 (miR‐21‐5p).     

Prediagnostic serum glyceraldehyde-derived advanced glycation end products and mortality among colorectal cancer patients

Glyceraldehyde-derived advanced glycation end products (glycer-AGEs) could contribute to colorectal cancer development and progression due to their pro-oxidative and pro-inflammatory properties. However, the association of glycer-AGEs with mortality after colorectal cancer diagnosis has not been previously investigated. Circulating glycer-AGEs were measured by competitive ELISA. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for associations of circulating glycer-AGEs concentrations with CRC-specific and all-cause mortality among 1034 colorectal cancer (CRC) cases identified within the European Prospective Investigation into Cancer and Nutrition (EPIC) study between 1993 and 2013. During a mean of 48 months of follow-up, 529 participants died (409 from CRC). Glycer-AGEs were statistically significantly positively associated with CRC-specific (HR_{Q5 vs Q1} = 1.53, 95% CI: 1.04-2.25, P_trend = .002) and all-cause (HR_{Q5 vs Q1} = 1.62, 95% CI: 1.16-2.26, P_trend < .001) mortality among individuals with CRC. There was suggestion of a stronger association between glycer-AGEs and CRC-specific mortality among patients with distal colon cancer (per SD increment: HR_{proximal colon} = 1.02, 95% CI: 0.74-1.42; HR_{distal colon} = 1.51, 95% CI: 1.20-1.91; P_{effect modification} = .02). The highest HR was observed among CRC cases in the highest body mass index (BMI) and glycer-AGEs category relative to lowest BMI and glycer-AGEs category for both CRC-specific (HR = 1.78, 95% CI: 1.02-3.01) and all-cause mortality (HR = 2.15, 95% CI: 1.33-3.47), although no statistically significant effect modification was observed. Our study found that prediagnostic circulating glycer-AGEs are positively associated with CRC-specific and all-cause mortality among individuals with CRC. Further investigations in other populations and stratifying by tumor location and BMI are warranted.     

Clinical analysis of multiple primary malignancies in the elderly

Background Cancer incidence raises progressively during life span; it is estimated that by the year 2030 almost 70% of all neoplasms will occur in people over 65 years old. As carcinogenesis is a multistep, time-requiring process, it is expected that as people live longer they are more likely to develop cancer, and therefore, the prevalence of multiple primary malignancies (MPM) is destined to increase with age. Patients and methods Records of all consecutive cancer patients referred to our center from January 2004 to January 2007 were reviewed. We chose the definition of MPM proposed by Warren and Gates. Multiple malignancies were assessed for elderly (≥70 years old) and younger patients. t-Test and Mc Nemar test were used; subgroup analysis was also performed according to age stratification. Results A total of 1,503 consecutive patients were considered; 566 were 70 years old or more (mean age 76.5 years, range 70–96 years) and 878 were younger (mean age 57 years, range 18–69 years). The prevalence of multiple malignancies in the elderly people versus younger ones was 15% and 6%, respectively (P = 0.001). As far as the elderly population is concerned, 21% (56/271) of males compared with 14% (42/295) of females had developed MPM; no significant difference was found between the subgroups with MPM or not as far as age (P = 0.16), comorbidities (P = 0.79), medications (P = 0.76), CIRS-G score and index (P = 0.47, P = 0.54), and PS (P = 0.93) are concerned. Most frequent associations among cancer types were prostate with lung (10/87, 11%), prostate with colorectal cancer (10/87, 11%), and smoking-related cancer, namely lung and head and neck cancer (X/Y, 6%). Conclusions Elderly patients are more likely to develop MPM compared to younger ones. Significant cancer association according to field cancerogenesis concept was the one of smoking-related cancer; other MPM patterns were apparently a random phenomenon.     

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers

IntroductionImmunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds—urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algorithms can automatically quantify radiographic characteristics that are related to and may therefore act as noninvasive radiomic biomarkers for immunotherapy response.Patients and methodsIn this study, we analyzed 1055 primary and metastatic lesions from 203 patients with advanced melanoma and non-small-cell lung cancer (NSCLC) undergoing anti-PD1 therapy. We carried out an AI-based characterization of each lesion on the pretreatment contrast-enhanced CT imaging data to develop and validate a noninvasive machine learning biomarker capable of distinguishing between immunotherapy responding and nonresponding. To define the biological basis of the radiographic biomarker, we carried out gene set enrichment analysis in an independent dataset of 262 NSCLC patients.ResultsThe biomarker reached significant performance on NSCLC lesions (up to 0.83 AUC, P < 0.001) and borderline significant for melanoma lymph nodes (0.64 AUC, P = 0.05). Combining these lesion-wide predictions on a patient level, immunotherapy response could be predicted with an AUC of up to 0.76 for both cancer types (P < 0.001), resulting in a 1-year survival difference of 24% (P = 0.02). We found highly significant associations with pathways involved in mitosis, indicating a relationship between increased proliferative potential and preferential response to immunotherapy.ConclusionsThese results indicate that radiographic characteristics of lesions on standard-of-care imaging may function as noninvasive biomarkers for response to immunotherapy, and may show utility for improved patient stratification in both neoadjuvant and palliative settings.     

Inflammation‐ and angiogenesis‐related biomarkers are correlated with cancer‐related fatigue in colorectal cancer patients: Results from the ColoCare Study

Cancer‐related fatigue is one of the most common side effects of colorectal cancer treatment and is affected by biomedical factors. We investigated the association of inflammation‐ and angiogenesis‐related biomarkers with cancer‐related fatigue. Pre‐surgery (baseline) serum samples were obtained from n = 236 newly diagnosed colorectal cancer patients. Meso Scale Discovery assays were performed to measure levels of biomarkers for inflammation and angiogenesis (CRP, SAA, IL‐6, IL‐8, MCP‐1, sICAM‐1, sVCAM‐1, TNFα, VEGFA and VEGFD). Cancer‐related fatigue was assessed with the EORTC QLQ‐30 questionnaire at baseline and 6 and 12 months post‐surgery. We tested associations using Spearman's partial correlations and logistic regression analyses, adjusting for age, sex and body mass index. sICAM‐1 and VEGFD showed a significant positive correlation with cancer‐related fatigue at baseline and 6‐, and 12‐month follow‐up (sICAM‐1: r = 0.19, p = 0.010; r = 0.24, p = 0.004; r = 0.25, p = 0.006; VEGFD: r = 0.20, p = 0.006; r = 0.15, p = 0.06; r = 0.23, p = 0.01 respectively). Biomarkers of inflammation and angiogenesis measured prior to surgery are associated with cancer‐related fatigue in colorectal cancer patients throughout various time points. Our results suggest the involvement of overexpressed sICAM‐1 and VEGFD in the development of fatigue.     

Detection of circulating tumor cells with a novel microfluidic system in malignant pleural mesothelioma

Detection of rare tumor cells circulating in the blood (CTCs) presents technical challenges. CellSearch, the only approved system for clinical use, fails to capture epithelial cell adhesion molecule‐negative CTCs such as malignant pleural mesothelioma (MPM). We have developed a novel microfluidic device (CTC‐chip) in which any Ab to capture CTCs is conjugated. The CTC‐chip was coated with an Ab against podoplanin that is abundantly expressed on MPM. Circulating tumor cell‐detection performance was evaluated in experimental models in which MPM cells were spiked in blood sampled from a healthy volunteer and in clinical samples drawn from MPM patients. The CTC‐chip showed superior CTC‐detection performance over CellSearch in experimental models (sensitivity, 63.3%‐64.5% vs 0%‐1.1%; P < .001) and in clinical samples (CTC‐positivity, 68.8% vs 6.3%; P < .001). A receiver operating characteristic (ROC) analysis showed that the CTC test provided a significant diagnostic performance in discrimination of unresectable disease from resectable disease (area under the ROC curve, 0.851; P = .003). The higher CTC count (≥2 cells/mL) was significantly associated with a poor prognosis (P = .030). The novel CTC‐chip enabled sensitive detection of CTCs, which provided significant diagnostic and prognostic information in MPM.     

Extracellular microRNA profiling for prognostic prediction in patients with high-grade serous ovarian carcinoma

High-grade serous ovarian carcinoma is a leading cause of death in female patients worldwide. MicroRNAs (miRNAs) are stable noncoding RNAs in the peripheral blood that reflect a patient’s condition, and therefore, they have received substantial attention as noninvasive biomarkers in various diseases. We previously reported the usefulness of serum miRNAs as diagnostic biomarkers. Here, we investigated the prognostic impact of the serum miRNA profile. We used the GSE106817 dataset, which included preoperative miRNA profiles of patients with ovarian malignancies. Excluding patients with other malignancy or insufficient prognostic information, we included 175 patients with high-grade serous ovarian carcinoma. All patients except four underwent surgery and received chemotherapy as initial treatment. The median follow-up period was 54.6 months (range, 3.5-144.1 months). Univariate Cox regression analysis revealed that higher levels of miR-187-5p and miR-6870-5p were associated with both poorer progression-free survival (PFS) and overall survival (OS), and miR-1908-5p, miR-6727-5p, and miR-6850-5p were poor prognostic indicators of PFS. The OS and PFS prognostic indices were then calculated using the expression values of three prognostic miRNAs. Multivariate Cox regression analysis showed that both indices were significantly independent poor prognostic factors (hazard ratio for OS and PFS, 2.343 [P = .015] and 2.357 [P = .005], respectively). In conclusion, circulating miRNA profiles can potentially provide information to predict the prognosis of patients with high-grade serous ovarian carcinoma. Therefore, there is a strong demand for early clinical application of circulating miRNAs as noninvasive biomarkers.     

Combining MGMT promoter pyrosequencing and protein expression to optimize prognosis stratification in glioblastoma

Pyrosequencing (PSQ) represents the golden standard for MGMT promoter status determination. Binary interpretation of results based on the threshold from the average of several CpGs tested would neglect the existence of the “gray zone”. How to define the gray zone and reclassify patients in this subgroup remains to be elucidated. A consecutive cohort of 312 primary glioblastoma patients were enrolled. CpGs 74-81 in the promoter region of MGMT were tested by PSQ and the protein expression was assessed by immunohistochemistry (IHC). Receiver operating characteristic curves were constructed to calculate the area under the curves (AUC). Kaplan-Meier plots were used to estimate the survival rate of patients compared by the log-rank test. The optimal threshold of each individual CpG differed from 5% to 11%. Patients could be separated into the hypomethylated subgroup (all CpGs tested below the corresponding optimal thresholds, n = 126, 40.4%), hypermethylated subgroup (all CpGs tested above the corresponding optimal thresholds, n = 108, 34.6%), and the gray zone subgroup (remaining patients, n = 78, 25.0%). Patients in the gray zone harbored an intermediate prognosis. The IHC score instead of the average methylation levels could successfully predict the prognosis for the gray zone (AUC for overall survival, 0.653 and 0.519, respectively). Combining PSQ and IHC significantly improved the efficiency of survival prediction (AUC: 0.662, 0.648, and 0.720 for PSQ, IHC, and combined, respectively). Immunohistochemistry is a robust method to predict prognosis for patients in the gray zone defined by PSQ. Combining PSQ and IHC could significantly improve the predictive ability for clinical outcomes.     

Predictive and prognostic role of serum neopterin and tryptophan breakdown in prostate cancer

The γ‐interferon‐induced enzymes indoleamine 2,3‐dioxygenase and GTP‐cyclohydrolase are key players in tumor immune escape mechanisms. We quantified serum levels of neopterin and tryptophan breakdown (tryptophan, kynurenine, and kynurenine‐to‐tryptophan ratio) in addition to prostate‐specific antigen (PSA) in newly diagnosed prostate cancer (PCa) patients (n = 100) before radical prostatectomy (RP) as well as at time of biochemical recurrence (BCR) after RP (n = 50) in comparison to healthy men (n = 49). Effects of biomarkers on the risk of PCa diagnosis on transrectal biopsy, worse histopathological characteristics of the RP specimens, and cancer‐specific survival (CSS) after BCR were investigated. Neopterin (hazard ratio [HR], 2.46; 95% confidence interval [CI], 1.08–5.61; P = 0.032) and kynurenine (HR, 2.93; 95% CI, 1.26–6.79; P = 0.012) levels were univariately associated with CSS. When adjusted for other biomarkers, only neopterin remained an independent predictor of CSS (HR, 2.56; 95% CI, 1.07–6.12; P = 0.035). Only PSA was associated with an increased risk of PCa diagnosis on biopsy, univariately (odds ratio, 3.14; 95% CI, 1.68–5.88; P < 0.001) as well when adjusted for other biomarkers (odds ratio, 3.29; 95% CI, 1.70–6.35; P < 0.001). Moreover, only preoperative PSA was able to predict positive surgical margin (area under the receiver operating characteristic curve [AUC] = 0.71; 95% CI, 0.59–0.82; P = 0.001), higher Gleason score (AUC = 0.75; 95% CI, 0.66–0.85; P < 0.001) and extraprostatic involvement (AUC = 0.79; 95% CI, 0.69–0.88; P < 0.001) at RP specimens, respectively. Although serum neopterin and tryptophan breakdown cannot be considered as biomarkers in detecting PCa or in predicting worse final pathological findings, neopterin levels are useful for stratifying patients into different prognostic groups after BCR.     

DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility

Aim of the studyA vast majority of human malignancies are associated with ageing, and age is a strong predictor of cancer risk. Recently, DNA methylation-based marker of ageing, known as ‘epigenetic clock’, has been linked with cancer risk factors. This study aimed to evaluate whether the epigenetic clock is associated with breast cancer risk susceptibility and to identify potential epigenetics-based biomarkers for risk stratification.MethodsHere, we profiled DNA methylation changes in a nested case–control study embedded in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (n = 960) using the Illumina HumanMethylation 450K BeadChip arrays and used the Horvath age estimation method to calculate epigenetic age for these samples. Intrinsic epigenetic age acceleration (IEAA) was estimated as the residuals by regressing epigenetic age on chronological age.ResultsWe observed an association between IEAA and breast cancer risk (OR, 1.04; 95% CI, 1.007–1.076, P = 0.016). One unit increase in IEAA was associated with a 4% increased odds of developing breast cancer (OR, 1.04; 95% CI, 1.007–1.076). Stratified analysis based on menopausal status revealed that IEAA was associated with development of postmenopausal breast cancers (OR, 1.07; 95% CI, 1.020–1.11, P = 0.003). In addition, methylome-wide analyses revealed that a higher mean DNA methylation at cytosine-phosphate-guanine (CpG) islands was associated with increased risk of breast cancer development (OR per 1 SD = 1.20; 95 %CI: 1.03–1.40, P = 0.02) whereas mean methylation levels at non-island CpGs were indistinguishable between cancer cases and controls.ConclusionEpigenetic age acceleration and CpG island methylation have a weak, but statistically significant, association with breast cancer susceptibility.     

PD‐L1 expression associated with worse survival outcome in malignant pleural mesothelioma

1 Aim

There is currently a need to identify prognostic biomarkers to assist in a risk adopted approach in treatment of malignant pleural mesothelioma (MPM). Expression of programmed death ligand 1 (PD‐L1) has been studied as a prognostic biomarker in a number of tumors given its central role in antitumoral immune response evasion. Four previously published analyses found PD‐L1 positivity to be an adverse survival prognostic factor in MPM. This study aims to further investigate the relationship between PD‐L1 expression in mesothelioma tissues and survival outcome.

2 Methods

Clinical data of MPM patients from a single institution between 2006 and 2016 were reviewed. Patient's archived tissues were stained with PD‐L1 (Clone Ventana SP263). PD‐L1 positivity was defined as > 1% membranous staining regardless of intensity.

3 Results

Data from fifty eight patients were analyzed. Median age was 73, majority was male (49, 84%) and had ECOG between 0 and 2 (46, 79%). Most common histopathological subtype was epithelioid (42, 72%), 9 (16%) biphasic subtype and 7 (12%) sarcomatoid. Thirty one patients (53%) received best supportive care and twenty seven patients (47%) received chemotherapy or combination treatment. Forty‐two patients had positive PD‐L1 expression (72.4%). The median survival time for PD‐L1 negative group is 15.5 months and 6 months for the positive group. Positive PD‐L1 expression is independently correlated with worse prognosis (HR = 2.02; 95% CI, 1.005–4.057; P‐value = 0.0484).

4 Conclusions

Our analysis found a higher percentage of MPM patients with positive PD‐L1 (> 1%) compared to other studies. Highly positive PD‐L1 expression was associated with statistically significantly lower median survival time.     

Elevated Circulating Activin A Levels in Patients With Malignant Pleural Mesothelioma Are Related to Cancer Cachexia and Reduced Response to Platinum-based Chemotherapy

BackgroundPrevious preclinical studies have shown that activin A is overexpressed in malignant pleural mesothelioma (MPM), associates with cancer cachexia, and is observed in in vitro resistance to platinum-based chemotherapy. We evaluated circulating activin levels and their endogenous antagonists’ follistatin/follistatin-like 3 in intrathoracic tumors.Materials and MethodsPatients suspected of thoracic malignancy were recruited prior to surgery. Serum samples were collected from 21 patients with MPM, 59 patients with non–small-cell lung cancer (NSCLC), and 22 patients with benign lung lesions. Circulating activin/follistatin levels were measured using enzyme-linked immunosorbent assay and compared with clinicopathologic parameters.ResultsCirculating activin A levels were elevated in patients with MPM when compared with patients with NSCLC or benign lung lesion samples (P < .0001). Also, follistatin and follistatin-like 3 levels were the highest in MPM, although with less difference compared with activin A. Receiver operating characteristic analysis for activin A for separating NSCLC from benign lung lesion showed an area under the curve of 0.856 (95% confidence interval, 0.77-0.94). Activin A levels were higher in patients with cachexia (P < .001). In patients with MPM, activin A levels correlated positively with computed tomography-based baseline tumor size (R = 0.549; P = .010) and the change in tumor size after chemotherapy (R = 0.743; P = .0006). Patients with partial response or stable disease had lower circulating activin A levels than the ones with progressive disease (P = .028).ConclusionActivin A serum level could be used as a biomarker in differentiating malignant and benign lung tumors. Circulating activin A levels were elevated in MPM and associates with cancer cachexia and reduced chemotherapy response.     

Genome-wide DNA methylation profiling identifies two novel genes in cervical neoplasia

DNA methylation analysis may improve risk stratification in cervical screening. We used a pan-epigenomic approach to identify new methylation markers along the continuum of cervical intraepithelial neoplasia (CIN) to cervical cancer. Physician-collected samples (54 normal, 50 CIN1, 40 CIN2 and 42 CIN3) were randomly selected from women at a single-center colposcopy clinic. Extracted DNA was subjected to Illumina Infinium EPIC array analysis, and methylation was assessed blinded to histopathological and clinical data. CpG sites whose state of methylation correlated with lesion grade were assessed (Spearman correlation), and a weighted methylation score was calculated comparing normal to CIN3. Validation of the top selected genes was performed in an independent cohort (100 normal, 50 CIN1, 50 CIN2, 50 CIN3 and 8 cervical cancers) of new patients, referred for colposcopic examination at three hospitals, using targeted DNA methylation Illumina amplicon sequencing. The relationship between a combined weighted marker score and progression from normal through precancerous lesions and cervical cancer was compared using one-way ANOVA. Our analyses revealed 7,715 CpGs whose methylation level correlated with progression (from normal to CIN1, CIN2 and CIN3), with a significant trend of increased methylation with lesion grade. We shortlisted a bigenic (hyaluronan synthase 1, HAS1 and ATPase phospholipid transporting 10A, ATP10A corresponding to cg03419058 and cg13944175 sites) marker set; r = 0.55, p < 0.0001. Validation of the four most discriminating genes (CA10, DPP10, FMN2 and HAS1) showed a significant correlation between methylation levels and disease progression (p-value < 2.2 × 10⁻¹⁶, adjusted R² = 0.952). Translational research of the identified genes to future clinical applications is warranted.     

Circulating activin A is a novel prognostic biomarker in malignant pleural mesothelioma – A multi-institutional study

IntroductionThe deregulation of activin expression is often observed in various malignancies. Previous studies indicate that activin A plays a protumourigenic role in malignant pleural mesothelioma (MPM). The aim of the study was to evaluate circulating activin A level as a biomarker in MPM.MethodsPlasma samples were collected from 129 MPM patients in four institutions at the time of diagnosis or before surgical resection. Samples from 45 healthy individuals and from 16 patients with non-malignant pleural diseases served as controls. Circulating activin A was measured by enzyme-linked immunosorbent assay and correlated to clinicopathological variables.ResultsPlasma activin A level was significantly elevated in MPM patients (862 ± 83 pg/ml) when compared to healthy controls (391 ± 21 pg/ml; P < 0.0001). Patients with pleuritis or fibrosis only showed a modest increase (versus controls; 625 ± 95 pg/ml; P = 0.0067). Sarcomatoid (n = 10, 1629 ± 202 pg/ml, P = 0.0019) and biphasic (n = 23, 1164 ± 233 pg/ml, P = 0.0188) morphology were associated with high activin A levels when compared to epithelioid histology (n = 94, 712 ± 75 pg/ml). The tumour volume showed a positive correlation with increased circulating activin A levels. MPM patients with below median activin A levels had a significantly longer overall survival when compared to those with high activin A levels (median survival 735 versus 365 d, P < 0.0001). Importantly, circulating activin A levels were exclusively prognostic in epithelioid MPM.ConclusionsOur findings suggest that the measurement of circulating activin A may support the histological classification of MPM and at the same time help to identify epithelioid MPM patients with poor prognosis.     

Circulating C-reactive protein increases lung cancer risk: Results from a prospective cohort of UK Biobank

Chronic inflammation has been associated with the development of lung cancer. In this study, we examined the association between C-reactive protein (CRP) and lung cancer in a prospective cohort study and used Mendelian randomization (MR) to clarify the causality. We included 420 977 participants from the UK Biobank (UKB) in the analyses; 1892 thereof were diagnosed with lung cancer during the follow-up. Hazards ratios (HRs) of CRP concentrations were estimated by Cox proportional hazard models and two approaches of MR analysis were performed. Besides, we added CRP concentrations to epidemiological model of lung cancer to evaluate its prediagnostic role through time-dependent receiver operating characteristic curve analysis. Elevated CRP levels were associated with a 22% increased lung cancer risk per 1 SD increase (HR = 1.22, 95% confidence interval [CI] = 1.18-1.26). Positive associations were observed in small cell lung cancer (HR = 1.21, 95% CI = 1.10-1.33), lung adenocarcinoma (HR = 1.17, 95% CI = 1.11-1.23) and lung squamous cell carcinoma (HR = 1.22, 95% CI = 1.14-1.31). No genetical association of circulating CRP levels and lung cancer risk was observed in MR analysis. When added to a risk model of lung cancer, CRP improved the performance of model as long as 8 years among current smokers (basic model: C-statistic = 0.78 [95% CI = 0.75-0.80]; CRP model: C-statistic = 0.79 [95% CI = 0.76-0.81]; P_nonadjusted = .003, P_adjusted = .014). Our results did not support the causal association of circulating CRP with lung cancer risk. However, circulating CRP could be a prediagnostic marker of lung cancer as long as 8 years in advance for current smokers.     

Morbidity following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for peritoneal metastases with or without early postoperative intraperitoneal chemotherapy: A propensity score matched study

BackgroundCombining hyperthermic intraperitoneal chemotherapy (HIPEC) treatment with early postoperative intraperitoneal chemotherapy (EPIC) may increase postoperative morbidity. This study aims to investigate postoperative morbidity after HIPEC+EPIC compared with HIPEC alone in patients with peritoneal metastases (PM).Materials and methodsThis is a retrospective propensity score matched cohort study. All patients undergoing PM treatment at Uppsala University Hospital between February 2004 and December 2014 were included. Propensity score matching with a 1:1 ratio was performed using sex, primary tumor site, preoperative chemotherapy, peritoneal cancer index, completeness of cytoreduction score, and HIPEC regimen. Length of hospital stay, morbidity, reoperation rate, and readmission rate within 6 months were selected as endpoints.ResultsA total of 390 consecutive patients were divided in two arms: HIPEC+EPIC (n = 115) and HIPEC alone (n = 275). The propensity score matching (n = 190) was successful with balanced covariates: 95 patients/arm. The length of stay (LOS) was longer in the HIPEC + EPIC group in the total cohort (30 vs 24 days, p < 0.001), with a trend towards significance in the propensity matched group (29 vs 25 days, p = 0.062). No other differences in endpoints were found.ConclusionHIPEC+EPIC is associated with a prolonged hospital stay, but with no statistically significant relevant increase in postoperative morbidity, reoperation rate or incidence of readmission.     

ERCC1, MLH1, MSH2, MSH6, and βIII-Tubulin: Resistance Proteins Associated With Response and Outcome to Platinum-based Chemotherapy in Malignant Pleural Mesothelioma

IntroductionPlatinum-based chemotherapy is besides the standard antifolate therapy with pemetrexed, the cornerstone for treatment of patients with malignant pleural mesothelioma (MPM), and its efficacy depends on several DNA repair enzymes. Therefore, these enzymes could be biomarkers for “tailoring” chemotherapy. This study evaluated enzymes involved in repair of platinum-caused DNA damage, potentially resulting in a biomarker panel associated with patient response and outcome to platinum-based chemotherapy.Material and MethodsPre- or posttreatment specimens from a total of 103 patients with MPM who were undergoing first-line chemotherapy were tested separately. Immunohistochemistry for ERCC1 (endonuclease excision repair cross-complementing 1), MLH1 (MutL homologue 1), MutS homologue (MSH) 2, MSH6, and βIII-tubulin protein expression, and pyrosequencing for ERCC1 codon 118 and C8092A polymorphisms were performed, and their results were correlated to clinicopathologic data.ResultsERCC1, MLH1, MSH2, MSH6, and βIII-tubulin were expressed in human MPM specimens at different intensities. When considering only pretreatment specimens, MSH6 protein levels were correlated to progression during chemotherapy (P = .0281). MLH1 protein levels (P = .0205), and ERCC1 codon 118 polymorphisms (P ≤ .0001) were significantly associated with progression-free survival. A significant association between ERCC1 protein levels and overall survival was noted (P = .032). Analyses of posttreatment specimens revealed significant associations between βIII-tubulin protein levels and progression-free survival (P = .0066). ERCC1 C8092A polymorphisms were significantly associated with progression-free survival and overall survival (P = .0463 and P = .0080, respectively) in this group.ConclusionsEnzymes involved in DNA repair mechanisms are associated with patient response and outcome to platinum-based chemotherapy. Their assessment may be a helpful tool to tailor platinum-based chemotherapy of MPM patients who might expect the largest clinical benefit. Prospective validation of this biomarker panel is warranted.     

Phase II trial of temsirolimus in patients with relapsed or refractory multiple myeloma

In a phase II trial, 16 patients with relapsed refractory multiple myeloma received temsirolimus 25 mg I.V. weekly until progression. One partial response and 5 minor responses were observed for a total response rate of 38%. The median time to progression was 138 days. Grade 3–4 toxicity included fatigue (n = 3), neutropenia (n = 2), thrombocytopenia (n = 2), interstitial pneumonitis (n = 1), stomatitis (n = 1) and diarrhea (n = 1). Clinical activity was associated with a higher area under the curve (AUC) and maximal reduction in phosphorylated p70^S6K and 4EBP1 in peripheral blood mononuclear cells. At the dose and schedule used, temsirolimus had low single agent activity. Investigation of alternate dosing schedules and use in combinations is indicated.