17 research outputs found
Multimodal lung cancer screening using the ITALUNG Biomarker Panel and Low Dose Computed Tomography. Results of the ITALUNG biomarker study
Asymptomatic high-risk subjects, randomized in the intervention arm of the ITALUNG trial (1406 screened
for lung cancer), were enrolled for the ITALUNG biomarker study (n = 1356), in which samples of blood
and sputum were analysed for plasma DNA quantification (cut off 5ng/ml), loss of heterozygosity and
microsatellite instability. The ITALUNG biomarker panel (IBP) was considered positive if at least one of the
two biomarkers included in the panel was positive. Subjects with and without lung cancer diagnosis at the
end of the screening cycle with LDCT (n = 517) were evaluated. Out of 18 baseline screen detected lung
cancer cases, 17 were IBP positive (94%). Repeat screen-detected lung cancer cases were 18 and 12 of them
positive at baseline IBP test (66%). Interval cancer cases (2-years) and biomarker tests after a suspect Non
Calcific Nodule follow-up were investigated. The single test versus multimodal screening measures of
accuracy were compared in a simulation within the screened ITALUNG intervention arm, considering
screen-detected and interval cancer cases. Sensitivity was 90% at baseline screening. Specificity was 71%%
and 61% for LDCT and IBP as baseline single test, and improved at 89% with multimodal, combined
screening. The positive predictive value was 4.3% for LDCT at baseline and 10.6% for multimodal
screening. Multimodal screening could improve the screening efficiency at baseline and strategies for future
implementation are discussed. If IBP was used as primary screening test, the LDCT burden might decrease
of about 60%
Distribution of high and low risk HPV types by cytological status: a population based study from Italy
<p>Abstract</p> <p>Background</p> <p>HPV type distribution by cytological status represents useful information to predict the impact of mass vaccination on screening programs.</p> <p>Methods</p> <p>women aged from 25 to 64 who attended cervical cancer screening in five different Italian regions were tested for HPV infection with Hybrid Capture II (HCII) low and high risk probes. Women repeating Pap-test upon unsatisfactory or positive results, or as a post-treatment and post-colposcopy follow-up analysis, were excluded from our study. High risk (HR) HPV positive samples were typed using GP5+/GP6+ primed PCR, followed by Reverse Line Blot for 18 high/intermediate risk HPV types, while low risk (LR) HPV positive samples were tested with type specific primers for HPV6 and HPV11.</p> <p>Results</p> <p>3410 women had a valid HCII and Pap-test. The prevalence of HR and LR infections was 7.0% and 3.6%, 29.1% and 13.7%, 68.1% and 31.9%, 60.0% and 0.0%, 65.0% and 12.0%, for negative, ASC-US, L-SIL, ASC-H and H-SIL cytology, respectively. The fraction of ASC-US+ cytology due to HPV 16 and 18 ranged from 11.2 (HPV 16/18 alone) to 15.4% (including HPV 16/18 in co-infection with other virus strains), and that due to HPV 6 and 11 ranged from 0.2% (HPV 6/11 alone) to 0.7% (including HPV 6/11 in co-infection with other LR virus strains).</p> <p>Conclusions</p> <p>mass vaccination with bivalent or quadrivalent HPV vaccine would modestly impact on prevalence of abnormal Pap-test in screening.</p
Pool testing on random and natural clusters of individuals: optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples
Genetically Determined Height and Risk of Non-hodgkin Lymphoma
Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes
Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes
AIM: Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk. METHODS: We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphoma (DLBCL), 2784 follicular lymphoma (FL), and 808 marginal zone lymphoma (MZL) cases, as well as 9374 controls. We examined the effect of homozygous variation on risk by: (1) estimating the fraction of the autosome containing runs of homozygosity (FROH); (2) calculating an inbreeding coefficient derived from the correlation among uniting gametes (F3); and (3) examining specific autosomal regions containing ROH. For each, we calculated beta coefficients and standard errors using logistic regression and combined estimates across studies using random-effects meta-analysis. RESULTS: We discovered positive associations between FROH and CLL (β = 21.1, SE = 4.41, P = 1.6 × 10(-6)) and FL (β = 11.4, SE = 5.82, P = 0.02) but not DLBCL (P = 1.0) or MZL (P = 0.91). For F3, we observed an association with CLL (β = 27.5, SE = 6.51, P = 2.4 × 10(-5)). We did not find evidence of associations with specific ROH, suggesting that the associations observed with FROH and F3 for CLL and FL risk were not driven by a single region of homozygosity. CONCLUSION: Our findings support the role of recessive genetic variation in the etiology of CLL and FL; additional research is needed to identify the specific loci associated with NHL risk
Agreement between the AMPLICOR Human Papillomavirus Test and the Hybrid Capture 2 Assay in Detection of High-Risk Human Papillomavirus and Diagnosis of Biopsy-Confirmed High-Grade Cervical Disease
The AMPLICOR HPV test (AMP) and the Hybrid Capture 2 assay (HC2) detect 13 high-risk human papillomavirus (HR-HPV) types. Evaluation of comparative performance with clinical samples is needed to allow informed implementation of AMP into clinical practice. AMP was used (i) to assess the prevalence of HR-HPV in 1,032 samples of known cytology, HC2 status, and/or confirmed histology; (ii) to determine agreement between AMP and HC2; (iii) to evaluate the clinical sensitivity and specificity for detecting HR-HPV; and (iv) to detect the presence of biopsy-confirmed high-grade cervical intraepithelial neoplasia. The prevalence of HR-HPV was 39.3% and 45.6% by AMP and HC2, respectively. Overall agreement was 89.2% (kappa value, 0.78). Of 509 HR-HPV-negative specimens by HC2, 488 (95.9%) were AMP negative. Of 427 HR-HPV-positive specimens by HC2, 347 (81.2%) were AMP positive. In comparing the ability to detect high-grade squamous intraepithelial lesions (HSIL), the two tests were positive for all HSIL samples. Both tests performed similarly on CIN2+ samples (clinical sensitivities were 96.7% and 97.8%, respectively, for AMP and HC2). The clinical specificities of AMP and HC2 were comparable (54.9% versus 51.6%; P = 0.18). Genotyping of 20 HC2-negative/AMP-positive cases using alternative technologies revealed target HR genotypes in 63.1% of cases and low-risk types in 15.7% of cases, while 21% of cases were negative. In conclusion, AMP provides a viable alternative to HC2, with good agreement for samples with high-grade cytology and similar sensitivity in detecting CIN2+ lesions
Baseline Cell-Free DNA Can Predict Malignancy of Nodules Observed in the ITALUNG Screening Trial
: The role of total plasma cell-free DNA (cfDNA) in lung cancer (LC) screening with low-dose computed tomography (LDCT) is uncertain. We hypothesized that cfDNA could support differentiation between malignant and benign nodules observed in LDCT. The baseline cfDNA was measured in 137 subjects of the ITALUNG trial, including 29 subjects with screen-detected LC (17 prevalent and 12 incident) and 108 subjects with benign nodules. The predictive capability of baseline cfDNA to differentiate malignant and benign nodules was compared to that of Lung-RADS classification and Brock score at initial LDCT (iLDCT). Subjects with prevalent LC showed both well-discriminating radiological characteristics of the malignant nodule (16 of 17 were classified as Lung-RADS 4) and markedly increased cfDNA (mean 18.8 ng/mL). The mean diameters and Brock scores of malignant nodules at iLDCT in subjects who were diagnosed with incident LC were not different from those of benign nodules. However, 75% (9/12) of subjects with incident LC showed a baseline cfDNA ≥ 3.15 ng/mL, compared to 34% (37/108) of subjects with benign nodules (p = 0.006). Moreover, baseline cfDNA was correlated (p = 0.001) with tumor growth, measured with volume doubling time. In conclusion, increased baseline cfDNA may help to differentiate subjects with malignant and benign nodules at LDCT
Lung Cancer Screening with Low-Dose CT: What We Have Learned in Two Decades of ITALUNG and What Is Yet to Be Addressed
Pool testing on random and natural clusters of individuals: Optimisation of SARS-CoV-2 surveillance in the presence of low viral load samples.
Facing the SARS-CoV-2 epidemic requires intensive testing on the population to early identify and isolate infected subjects. During the first emergency phase of the epidemic, RT-qPCR on nasopharyngeal (NP) swabs, which is the most reliable technique to detect ongoing infections, exhibited limitations due to availability of reagents and budget constraints. This stressed the need to develop screening procedures that require fewer resources and are suitable to be extended to larger portions of the population. RT-qPCR on pooled samples from individual NP swabs seems to be a promising technique to improve surveillance. We performed preliminary experimental analyses aimed to investigate the performance of pool testing on samples with low viral load and we evaluated through Monte Carlo (MC) simulations alternative screening protocols based on sample pooling, tailored to contexts characterized by different infection prevalence. We focused on the role of pool size and the opportunity to develop strategies that take advantage of natural clustering structures in the population, e.g. families, school classes, hospital rooms. Despite the use of a limited number of specimens, our results suggest that, while high viral load samples seem to be detectable even in a pool with 29 negative samples, positive specimens with low viral load may be masked by the negative samples, unless smaller pools are used. The results of MC simulations confirm that pool testing is useful in contexts where the infection prevalence is low. The gain of pool testing in saving resources can be very high, and can be optimized by selecting appropriate group sizes. Exploiting natural groups makes the definition of larger pools convenient and potentially overcomes the issue of low viral load samples by increasing the probability of identifying more than one positive in the same pool