Risk of Venous Thromboembolic Events After Surgery for Cancer.

Importance: The risks and benefits of thromboprophylaxis therapy after cancer surgery are debated. Studies that determine thrombosis risk after cancer surgery with high accuracy are needed. Objectives: To evaluate 1-year risk of venous thromboembolic events after major cancer surgery and how these events vary over time. Design, Setting, and Participants: This register-based retrospective observational matched cohort study included data on the full population of Sweden between 1998 and 2016. All patients who underwent major surgery for cancer of the bladder, breast, colon or rectum, gynecologic organs, kidney and upper urothelial tract, lung, prostate, or gastroesophageal tract were matched in a 1:10 ratio with cancer-free members of the general population on year of birth, sex, and county of residence. Data were analyzed from February 13 to December 5, 2023. Exposure: Major surgery for cancer. Main Outcomes and Measures: The main outcome was incidence of venous thromboembolic events within 1 year after the surgery. Crude absolute risks and risk differences of events within 1 year and adjusted time-dependent cause-specific hazard ratios (HRs) of postdischarge events were calculated. Results: A total of 432 218 patients with cancer (median age, 67 years [IQR, 58-75 years]; 68.7% women) and 4 009 343 cancer-free comparators (median age, 66 years [IQR, 57-74 years]; 69.3% women) were included in the study. The crude 1-year cumulative risk of pulmonary embolism was higher among the cancer surgery population for all cancers, with the following absolute risk differences: for bladder cancer, 2.69 percentage points (95% CI, 2.33-3.05 percentage points); for breast cancer, 0.59 percentage points (95% CI 0.55-0.63 percentage points); for colorectal cancer, 1.57 percentage points (95% CI, 1.50-1.65 percentage points); for gynecologic organ cancer, 1.32 percentage points (95% CI, 1.22-1.41 percentage points); for kidney and upper urinary tract cancer, 1.38 percentage points (95% CI, 1.21-1.55 percentage points); for lung cancer, 2.61 percentage points (95% CI, 2.34-2.89 percentage points); for gastroesophageal cancer, 2.13 percentage points (95% CI, 1.89-2.38 percentage points); and for prostate cancer, 0.57 percentage points (95% CI, 0.49-0.66 percentage points). The cause-specific HR of pulmonary embolism comparing patients who underwent cancer surgery with matched comparators peaked just after discharge and generally plateaued 60 to 90 days later. At 30 days after surgery, the HR was 10 to 30 times higher than in the comparison cohort for all cancers except breast cancer (colorectal cancer: HR, 9.18 [95% CI, 8.03-10.50]; lung cancer: HR, 25.66 [95% CI, 17.41-37.84]; breast cancer: HR, 5.18 [95% CI, 4.45-6.05]). The hazards subsided but never reached the level of the comparison cohort except for prostate cancer. Similar results were observed for deep vein thrombosis. Conclusions and Relevance: This cohort study found an increased rate of venous thromboembolism associated with cancer surgery. The risk persisted for about 2 to 4 months postoperatively but varied between cancer types. The increased rate is likely explained by the underlying cancer disease and adjuvant treatments. The results highlight the need for individualized venous thromboembolism risk evaluation and prophylaxis regimens for patients undergoing different surgery for different cancers.

Risk of Postoperative Ischemic Stroke and Myocardial Infarction in Patients Operated for Cancer.

BACKGROUND: Risk assessment for ischemic stroke (IS) and myocardial infarction (MI) is done routinely before surgery, but the increase in risks associated with surgery is not known. The aim of this study is to assess the risk of arterial ischemic events during the first year after oncological surgery. METHODS: We used Swedish healthcare databases to identify 443,300 patients who underwent cancer surgery between 1987 and 2016 and 4,127,761 matched comparison subjects. We estimated odds ratios (ORs) for myocardial infarction and ischemic stroke during the hospitalization with logistic regression and calculated 1-year cumulative incidences and hazard ratios (HRs) with 95% confidence intervals (CIs) for the outcomes after discharge. RESULTS: The cumulative incidences of myocardial infarction and ischemic stroke during the first postoperative year were 1.33% and 1.25%, respectively. In the comparison cohort, the corresponding 1-year cumulative incidences were 1.04% and 1.00%. During the hospitalization, the OR for myocardial infarction was 8.81 (95% CI 8.24-9.42) and the OR for ischemic stroke was 6.71 (95% CI 6.22-7.23). After discharge, the average HR during follow-up for 365 days was 0.90 (95% CI 0.87-0.93) for myocardial infarction and 1.02 (95% CI 0.99-1.05) for ischemic stroke. CONCLUSIONS: We found an overall increased risk of IS and MI during the first year after cancer surgery that was attributable to events occurring during the hospitalization period. After discharge from the hospital, the overall risk of myocardial infarction was lower among the cancer surgery patients than among matched comparison subjects.

Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort.

Introduction: Prostate cancer (PCa) is the most frequent tumor among men in Europe and has both indolent and aggressive forms. There are several treatment options, the choice of which depends on multiple factors. To further improve current prognostication models, we established the Turin Prostate Cancer Prognostication (TPCP) cohort, an Italian retrospective biopsy cohort of patients with PCa and long-term follow-up. This work presents this new cohort with its main characteristics and the distributions of some of its core variables, along with its potential contributions to PCa research. Methods: The TPCP cohort includes consecutive non-metastatic patients with first positive biopsy for PCa performed between 2008 and 2013 at the main hospital in Turin, Italy. The follow-up ended on December 31st 2021. The primary outcome is the occurrence of metastasis; death from PCa and overall mortality are the secondary outcomes. In addition to numerous clinical variables, the study's prognostic variables include histopathologic information assigned by a centralized uropathology review using a digital pathology software system specialized for the study of PCa, tumor DNA methylation in candidate genes, and features extracted from digitized slide images via Deep Neural Networks. Results: The cohort includes 891 patients followed-up for a median time of 10 years. During this period, 97 patients had progression to metastatic disease and 301 died; of these, 56 died from PCa. In total, 65.3% of the cohort has a Gleason score less than or equal to 3 + 4, and 44.5% has a clinical stage cT1. Consistent with previous studies, age and clinical stage at diagnosis are important prognostic factors: the crude cumulative incidence of metastatic disease during the 14-years of follow-up increases from 9.1% among patients younger than 64 to 16.2% for patients in the age group of 75-84, and from 6.1% for cT1 stage to 27.9% in cT3 stage. Discussion: This study stands to be an important resource for updating existing prognostic models for PCa on an Italian cohort. In addition, the integrated collection of multi-modal data will allow development and/or validation of new models including new histopathological, digital, and molecular markers, with the goal of better directing clinical decisions to manage patients with PCa.

Nomograms predicting local and distant recurrence and disease-specific mortality for R0/R1 soft tissue sarcomas of the extremities.

Background: Prognostic models for patients with soft tissue sarcoma (STS) of the extremities have been developed from large multi-institutional datasets with mixed results. We aimed to develop predictive nomograms for sarcoma-specific survival (SSS) and, for the first time, long-term local recurrence (LR) and distant recurrence (DR) in patients with STS of the extremities treated at our institution. Patients and methods: Data from patients treated at Humanitas Cancer Center from 1997 to 2015 were analyzed. Variable selection was based on the clinical knowledge and multivariable regression splines algorithm. Perioperative treatments were always included in the model. Prognostic models were developed using Cox proportional hazards model, and model estimates were plotted in nomograms predicting SSS at 5 and 10 years and LR and DR at 2, 5, and 10 years. Model performance was estimated internally via bootstrapping, in terms of optimism-corrected discrimination (Harrell C-index) and calibration (calibration plots). Results: Data on 517 patients were analyzed. At 5 and 10 years, SSS was 68.1% [95% confidence interval (CI), 63.8-72.1] and 55.6% (50.5-60.3), respectively. LR was 79.1% (95% CI, 75.3-82.4), 71.1% (95% CI, 66.7-75.1), and 66.0% (95% CI, 60.7-70.7) at 2, 5, and 10 years, respectively, whereas DR was 65.9% (95% CI, 61.6-69.9), 57.5% (95% CI, 53.0-61.8), and 52.1% (95% CI, 47.1-56.8) at 2, 5, and 10 years, respectively. SSS nomogram included age, gender, margins, tumor size, grading, and histotype. LR and DR nomograms incorporated mostly the same variables, except for age for DR; LR nomogram did not include gender but included anatomic site. The optimism-corrected C-indexes were 0.73 and 0.72 for SSS at 5 and 10 years, respectively; 0.65, 0.64, and 0.64 for LR at 2, 5, and 10 years, respectively; and 0.68 for DR at 2, 5, and 10 years. Predicted probabilities were close to the observed ones for all outcomes. Conclusions: We developed and validated three nomograms for STS of the extremities predicting the probability of SSS at 5 and 10 years and LR and DR at 2, 5, and 10 years. By accounting for the perioperative treatment, these models allow prediction for future patients who had no perioperative treatment, thus being useful in the clinical decision-making process.

Prognostic Utility of the Gleason Grading System Revisions and Histopathological Factors Beyond Gleason Grade.

BACKGROUND: The International Society of Urological Pathology (ISUP) revised the Gleason system in 2005 and 2014. The impact of these changes on prostate cancer (PCa) prognostication remains unclear. OBJECTIVE: To evaluate if the ISUP 2014 Gleason score (GS) predicts PCa death better than the pre-2005 GS, and if additional histopathological information can further improve PCa death prediction. PATIENTS AND METHODS: We conducted a case-control study nested among men in the National Prostate Cancer Register of Sweden diagnosed with non-metastatic PCa 1998-2015. We included 369 men who died from PCa (cases) and 369 men who did not (controls). Two uro-pathologists centrally re-reviewed biopsy ISUP 2014 Gleason grading, poorly formed glands, cribriform pattern, comedonecrosis, perineural invasion, intraductal, ductal and mucinous carcinoma, percentage Gleason 4, inflammation, high-grade prostatic intraepithelial neoplasia (HGPIN) and post-atrophic hyperplasia. Pre-2005 GS was back-transformed using i) information on cribriform pattern and/or poorly formed glands and ii) the diagnostic GS from the registry. Models were developed using Firth logistic regression and compared in terms of discrimination (AUC). RESULTS: The ISUP 2014 GS (AUC = 0.808) performed better than the pre-2005 GS when back-transformed using only cribriform pattern (AUC = 0.785) or both cribriform and poorly formed glands (AUC = 0.792), but not when back-transformed using only poorly formed glands (AUC = 0.800). Similarly, the ISUP 2014 GS performed better than the diagnostic GS (AUC = 0.808 vs 0.781). Comedonecrosis (AUC = 0.811), HGPIN (AUC = 0.810) and number of cores with ≥50% cancer (AUC = 0.810) predicted PCa death independently of the ISUP 2014 GS. CONCLUSION: The Gleason Grading revisions have improved PCa death prediction, likely due to classifying cribriform patterns, rather than poorly formed glands, as Gleason 4. Comedonecrosis, HGPIN and number of cores with ≥50% cancer further improve PCa death discrimination slightly.

Biting the Bullet: Firearm Ownership in Persons with Dementia. A Registry-Based Observational Study.

BACKGROUND: In Sweden, 2,296,000 firearms were legally owned by private persons in 2017 and there were 150,000 persons living with a dementia diagnosis. A proportion of these persons owning a firearm may pose safety concerns. OBJECTIVE: The aim was to describe firearm ownership in persons with dementia in Sweden and examine which characteristics are explaining physicians' decision to report a person to the police as unsuitable to possess a firearm. METHODS: This was a registry-based observational study. 65,717 persons with dementia registered in the Swedish Dementia Registry were included in the study. Logistic regression was used to evaluate which of the persons' characteristics were most important in predicting the likelihood of being reported as unsuitable to possess a firearm. Relative importance of predictors was quantified using standardized coefficients (SC) and dominance analysis (DA). RESULTS: Out of 53,384 persons with dementia, 1,823 owned a firearm and 419 were reported to the police as unsuitable owners. Firearm owners were predominantly younger, males, living alone, and without assistance of homecare. The most important predictors of being reported to the police were: living with another person (SC = 0.23), frontotemporal dementia (SC = 0.18), antipsychotics prescription (SC = 0.18), being diagnosed in a memory/cognitive clinic (SC = -0.27), female gender (SC = 0.18), mild (SC = -0.25) and moderate (SC = -0.21) dementia, and hypnotics prescription (SC = 0.17). CONCLUSION: Firearm owners with dementia were mostly younger males who were still living more independent lives. The decision to remove a weapon was not solely based on a diagnosis of dementia but a combination of factors was considered.

Interchangeability of light and virtual microscopy for histopathological evaluation of prostate cancer.

Virtual microscopy (VM) holds promise to reduce subjectivity as well as intra- and inter-observer variability for the histopathological evaluation of prostate cancer. We evaluated (i) the repeatability (intra-observer agreement) and reproducibility (inter-observer agreement) of the 2014 Gleason grading system and other selected features using standard light microscopy (LM) and an internally developed VM system, and (ii) the interchangeability of LM and VM. Two uro-pathologists reviewed 413 cores from 60 Swedish men diagnosed with non-metastatic prostate cancer 1998-2014. Reviewer 1 performed two reviews using both LM and VM. Reviewer 2 performed one review using both methods. The intra- and inter-observer agreement within and between LM and VM were assessed using Cohen's kappa and Bland and Altman's limits of agreement. We found good repeatability and reproducibility for both LM and VM, as well as interchangeability between LM and VM, for primary and secondary Gleason pattern, Gleason Grade Groups, poorly formed glands, cribriform pattern and comedonecrosis but not for the percentage of Gleason pattern 4. Our findings confirm the non-inferiority of VM compared to LM. The repeatability and reproducibility of percentage of Gleason pattern 4 was poor regardless of method used warranting further investigation and improvement before it is used in clinical practice.

Predicting Prostate Cancer Death with Different Pretreatment Risk Stratification Tools: A Head-to-head Comparison in a Nationwide Cohort Study.

BACKGROUND: Numerous pretreatment risk classification tools are available for prostate cancer. Which tool is best in predicting prostate cancer death is unclear. OBJECTIVE: To systematically compare the prognostic performance of the most commonly used pretreatment risk stratification tools for prostate cancer. DESIGN, SETTING, AND PARTICIPANTS: A nationwide cohort study was conducted, including 154 811 men in Prostate Cancer data Base Sweden (PCBaSe) 4.0 diagnosed with nonmetastatic prostate cancer during 1998-2016 and followed through 2016. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We compared the D'Amico, National Institute for Health and Care Excellence (NICE), European Association of Urology (EAU), Genito-Urinary Radiation Oncologists of Canada (GUROC), American Urological Association (AUA), National Comprehensive Cancer Network (NCCN), and Cambridge Prognostic Groups (CPG) risk group systems; the Cancer of the Prostate Risk Assessment (CAPRA) score; and the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram in predicting prostate cancer death by estimating the concordance index (C-index) and the observed versus predicted cumulative incidences at different follow-up times. RESULTS AND LIMITATIONS: A total of 139 515 men were included in the main analysis, of whom 15 961 died from prostate cancer during follow-up. The C-index at 10 yr of follow-up ranged from 0.73 (95% confidence interval [CI]: 0.72-0.73) to 0.81 (95% CI: 0.80-0.81) across the compared tools. The MSKCC nomogram (C-index: 0.81, 95% CI: 0.80-0.81), CAPRA score (C-index: 0.80, 95% CI: 0.79-0.81), and CPG system (C-index: 0.78, 95% CI: 0.78-0.79) performed the best. The order of performance between the tools remained in analyses stratified by primary treatment and year of diagnosis. The predicted cumulative incidences were close to the observed ones, with some underestimation at 5 yr. It is a limitation that the study was conducted solely in a Swedish setting (ie, case mix). CONCLUSIONS: The MSKCC nomogram, CAPRA score, and CPG risk grouping system performed better in discriminating prostate cancer death than the D'Amico and D'Amico-derived systems (NICE, GUROC, EAU, AUA, and NCCN). Use of these tools may improve clinical decision making. PATIENT SUMMARY: There are numerous pretreatment risk classification tools that can aid treatment decision for prostate cancer. We systematically compared the prognostic performance of the most commonly used tools in a large cohort of Swedish men with prostate cancer. The Memorial Sloan Kettering Cancer Center nomogram, Cancer of the Prostate Risk Assessment score, and Cambridge Prognostic Groups performed best in predicting prostate cancer death. The use of these tools may improve treatment decisions.

Estimation of Relative and Absolute Risks in a Competing-Risks Setting Using a Nested Case-Control Study Design: Example From the ProMort Study.

In this paper, we describe the Prognostic Factors for Mortality in Prostate Cancer (ProMort) study and use it to demonstrate how the weighted likelihood method can be used in nested case-control studies to estimate both relative and absolute risks in the competing-risks setting. ProMort is a case-control study nested within the National Prostate Cancer Register (NPCR) of Sweden, comprising 1,710 men diagnosed with low- or intermediate-risk prostate cancer between 1998 and 2011 who died from prostate cancer (cases) and 1,710 matched controls. Cause-specific hazard ratios and cumulative incidence functions (CIFs) for prostate cancer death were estimated in ProMort using weighted flexible parametric models and compared with the corresponding estimates from the NPCR cohort. We further drew 1,500 random nested case-control subsamples of the NPCR cohort and quantified the bias in the hazard ratio and CIF estimates. Finally, we compared the ProMort estimates with those obtained by augmenting competing-risks cases and by augmenting both competing-risks cases and controls. The hazard ratios for prostate cancer death estimated in ProMort were comparable to those in the NPCR. The hazard ratios for dying from other causes were biased, which introduced bias in the CIFs estimated in the competing-risks setting. When augmenting both competing-risks cases and controls, the bias was reduced.

PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy.

PURPOSE: To assess the role of radiomics parameters in predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer. METHODS: Seventy-nine patients who had undergone pretreatment staging 18F-FDG PET/CT and treatment with NAC between January 2010 and January 2018 were included in the study. Primary lesions on PET images were delineated, and extraction of first-, second-, and higher-order imaging features was performed using LIFEx software. The relationship between these parameters and pCR to NAC was analyzed by multiple logistic regression models. RESULTS: Nineteen patients (24%) had pCR to NAC. Different models were generated on complete information and imputed datasets, using univariable and multivariable logistic regression and least absolute shrinkage and selection operator (lasso) regression. All models could predict pCR to NAC, with area under the curve values ranging from 0.70 to 0.73. All models agreed that tumor molecular subtype is the primary predictor of the primary endpoint. CONCLUSIONS: Our models predicted that patients with subtype 2 and subtype 3 (HER2+ and triple negative, respectively) are more likely to have a pCR to NAC than those with subtype 1 (luminal). The association between PET imaging features and pCR suggested that PET imaging features could be considered as potential predictors of pCR in locally advanced breast cancer patients.

Single-nucleotide polymorphisms in DNMT3B gene and DNMT3B mRNA expression in association with prostate cancer mortality.

BACKGROUND: Germline variants in DNA methyltransferase 3B (DNMT3B) may influence DNMT3B enzymatic activity, which, in turn, may affect cancer aggressiveness by altering DNA methylation. METHODS: The study involves two Italian cohorts (NTAT cohort, n = 157, and 1980s biopsy cohort, n = 182) and two U.S. cohorts (Health Professionals Follow-Up Study, n = 214, and Physicians' Health Study, n = 298) of prostate cancer (PCa) patients, and a case-control study of lethal (n = 113) vs indolent (n = 290) PCa with DNMT3B mRNA expression data nested in the U.S. cohorts. We evaluated the association between: three selected DNMT3B variants and global DNA methylation using linear regression in the NTAT cohort, the three DNMT3B variants and PCa mortality using Cox proportional hazards regression in all cohorts, and DNMT3B expression and lethal PCa using logistic regression, with replication in publicly available databases (TCGA, n = 492 and MSKCC, n = 140). RESULTS: The TT genotype of rs1569686 was associated with LINE-1 hypomethylation in tumor tissue (ß = -2.71, 95% CI: -5.41, -0.05). There was no evidence of association between DNMT3B variants and PCa mortality. DNMT3B expression was consistently associated with lethal PCa in the two U.S. cohorts (3rd vs 1st tertile, combined cohorts: OR = 2.04, 95% CI: 1.13, 3.76); the association was replicated in TCGA and MSKCC data (3rd vs 1st tertile, TCGA: HR = 3.00, 95% CI: 1.78, 5.06; MSKCC: HR = 2.22, 95% CI: 1.01, 4.86). CONCLUSIONS: Although there was no consistent evidence of an association between DNMT3B variants and PCa mortality, the TT genotype of rs1569686 was associated with LINE-1 hypomethylation in tumor tissue and DNMT3B mRNA expression was associated with an increased risk of lethal PCa.

Quantity and quality of nucleic acids extracted from archival formalin fixed paraffin embedded prostate biopsies.

BACKGROUND: In Sweden, human tissue samples obtained from diagnostic and surgical procedures have for decades been routinely stored in a formalin-fixed, paraffin-embedded, form. Through linkage with nationwide registers, these samples are available for molecular studies to identify biomarkers predicting mortality even in slow-progressing prostate cancer. However, tissue fixation causes modifications of nucleic acids, making it challenging to extract high-quality nucleic acids from formalin fixated tissues. METHODS: In this study, the efficiency of five commercial nucleic acid extraction kits was compared on 30 prostate biopsies with normal histology, and the quantity and quality of the products were compared using spectrophotometry and Agilent's BioAnalyzer. Student's t-test's and Bland-Altman analyses were performed in order to investigate differences in nucleic acid quantity and quality between the five kits. The best performing extraction kits were subsequently tested on an additional 84 prostate tumor tissues. A Spearman's correlation test and linear regression analyses were performed in order to investigate the impact of tissue age and amount of tissue on nucleic acid quantity and quality. RESULTS: Nucleic acids extracted with RNeasy® FFPE and QIAamp® DNA FFPE Tissue kit had the highest quantity and quality, and was used for extraction from 84 tumor tissues. Nucleic acids were successfully extracted from all biopsies, and the amount of tumor (in millimeter) was found to have the strongest association with quantity and quality of nucleic acids. CONCLUSIONS: To conclude, this study shows that the choice of nucleic acid extraction kit affects the quantity and quality of extracted products. Furthermore, we show that extraction of nucleic acids from archival formalin-fixed prostate biopsies is possible, allowing molecular studies to be performed on this valuable sample collection.

Global Hypomethylation (LINE-1) and Gene-Specific Hypermethylation (GSTP1) on Initial Negative Prostate Biopsy as Markers of Prostate Cancer on a Rebiopsy.

PURPOSE: Men at risk of missed prostate cancer on a negative biopsy often undergo a rebiopsy. We evaluated whether global hypomethylation, measured through LINE-1 methylation, and GSTP1 hypermethylation on a negative biopsy are associated with subsequent prostate cancer diagnosis. EXPERIMENTAL DESIGN: We performed a case-control study nested in an unselected series of 737 men who received at least two prostate biopsies at least three months apart at the Molinette Hospital (Turin, Italy). Two pathology wards were included for replication purposes. The study included 67 cases and 62 controls in Ward 1 and 62 cases and 66 controls in Ward 2. We used pyrosequencing to analyze LINE-1 and GSTP1 methylation in the negative biopsies. Odds ratios (OR) of prostate cancer diagnosis were estimated using conditional logistic regression. RESULTS: After mutual adjustment, GSTP1 hypermethylation was associated with an OR of prostate cancer diagnosis of 5.1 (95% confidence interval: 1.7-14.9) in Ward 1 and 2.0 (0.8-5.3) in Ward 2, whereas an association was suggested only for low LINE-1 methylation levels (<70% vs. 70%-74%) with an OR of 2.1 (0.5-9.1) in Ward 1 and 1.6 (0.4-6.1) in Ward 2. When the two wards were combined the association was stronger for tumors with Gleason score ≥ 4+3 [GSTP1 hypermethylation: 9.2 (2.0-43.1); LINE-1 (<70% vs. 70%-74%): 9.2 (1.4-59.3)]. GSTP-1 alone improved the predictive capability of the model (P = 0.007). CONCLUSIONS: GSTP1 hypermethylation on a negative biopsy is associated with the risk of prostate cancer on a rebiopsy, especially of high-grade prostate cancer. Consistent results were found only for extremely low LINE-1 methylation levels.