To determine prospectively overall and age-specific estimates of contralateral breast cancer (CBC) risk for young patients with breast cancer with or without BRCA1/2 mutations.
A cohort of 6,294 ...patients with invasive breast cancer diagnosed under 50 years of age and treated between 1970 and 2003 in 10 Dutch centers was tested for the most prevalent BRCA1/2 mutations. We report absolute risks and hazard ratios within the cohort from competing risk analyses.
After a median follow-up of 12.5 years, 578 CBCs were observed in our study population. CBC risk for BRCA1 and BRCA2 mutation carriers was two to three times higher than for noncarriers (hazard ratios, 3.31 95% CI, 2.41 to 4.55; P < .001 and 2.17 95% CI,1.22 to 3.85; P = .01, respectively). Ten-year cumulative CBC risks were 21.1% (95% CI, 15.4 to 27.4) for BRCA1, 10.8% (95% CI, 4.7 to 19.6) for BRCA2 mutation carriers and 5.1% (95% CI, 4.5 to 5.7) for noncarriers. Age at diagnosis of the first breast cancer was a significant predictor of CBC risk in BRCA1/2 mutation carriers only; those diagnosed before age 41 years had a 10-year cumulative CBC risk of 23.9% (BRCA1: 25.5%; BRCA2: 17.2%) compared with 12.6% (BRCA1: 15.6%; BRCA2: 7.2%) for those 41 to 49 years of age (P = .02); our review of published studies showed ranges of 24% to 31% before age 40 years (BRCA1: 24% to 32%; BRCA2:17% to 29%) and 8% to 21% after 40 years (BRCA1: 11% to 52%; BRCA2: 7% to 18%), respectively.
Age at first breast cancer is a strong risk factor for cumulative CBC risk in BRCA1/2 mutation carriers. Considering the available evidence, age-specific risk estimates should be included in counseling.
The best current biomarker strategies for predicting response to immune checkpoint inhibitor (ICI) therapy fail to account for interpatient variability in response rates. The histologic tumor-stroma ...ratio (TSR) quantifies intratumoral stromal content and was recently found to be predictive of response to neoadjuvant therapy in multiple cancer types. In the current work, we predicted the likelihood of ICI therapy responsivity of 335 therapy-naive colon adenocarcinoma tumors from The Cancer Genome Atlas, using bioinformatics approaches. The TSR was scored on diagnostic tissue slides, and tumor-infiltrating immune cells (TIICs) were inferred from transcriptomic data. Tumors with high stromal content demonstrated increased T regulatory cell infiltration (
= 0.014) but failed to predict ICI therapy response. Consequently, we devised a hybrid tumor microenvironment classification of four stromal categories, based on histological stromal content and transcriptomic-deconvoluted immune cell infiltration, which was associated with previously established transcriptomic and genomic biomarkers for ICI therapy response. By integrating these biomarkers, stroma-low/immune-high tumors were predicted to be most responsive to ICI therapy. The framework described here provides evidence for expansion of current histological TIIC quantification to include the TSR as a novel, easy-to-use biomarker for the prediction of ICI therapy response.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
The lack of multi-omics cancer datasets with extensive follow-up information hinders the identification of accurate biomarkers of clinical outcome. In this cohort study, we performed comprehensive ...genomic analyses on fresh-frozen samples from 348 patients affected by primary colon cancer, encompassing RNA, whole-exome, deep T cell receptor and 16S bacterial rRNA gene sequencing on tumor and matched healthy colon tissue, complemented with tumor whole-genome sequencing for further microbiome characterization. A type 1 helper T cell, cytotoxic, gene expression signature, called Immunologic Constant of Rejection, captured the presence of clonally expanded, tumor-enriched T cell clones and outperformed conventional prognostic molecular biomarkers, such as the consensus molecular subtype and the microsatellite instability classifications. Quantification of genetic immunoediting, defined as a lower number of neoantigens than expected, further refined its prognostic value. We identified a microbiome signature, driven by Ruminococcus bromii, associated with a favorable outcome. By combining microbiome signature and Immunologic Constant of Rejection, we developed and validated a composite score (mICRoScore), which identifies a group of patients with excellent survival probability. The publicly available multi-omics dataset provides a resource for better understanding colon cancer biology that could facilitate the discovery of personalized therapeutic approaches.
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GEOZS, IJS, IMTLJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBMB, UL, UM, UPUK, ZAGLJ
MALDI mass spectrometry imaging (MSI) has rapidly established itself as a powerful biomarker discovery tool. To date, no formal investigation has assessed the center-to-center comparability of MALDI ...MSI experiments, an essential step for it to develop into a new diagnostic method. To test such capabilities, we have performed a multicenter study focused on biomarkers of stromal activation in breast cancer. MALDI MSI experiments were performed in two centers using independent tissue banks, infrastructure, methods, and practitioners. One of the data sets was used for discovery and the other for validation. Areas of intra- and extratumoral stroma were selected, and their protein signals were compared. Four protein signals were found to be significantly associated with tumor-associated stroma in the discovery data set measured in Munich. Three of these peaks were also detected in the independent validation data set measured in Leiden, all of which were also significantly associated with intratumoral stroma. Hierarchical clustering displayed 100% accuracy in the Munich MSI data set and 80.9% accuracy in the Leiden MSI data set. The association of one of the identified mass signals (PA28) with stromal activation was confirmed with immunohistochemistry performed on 20 breast tumors. Independent and international MALDI MSI investigations could identify validated biomarkers of stromal activation.
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IJS, KILJ, NUK, PNG, UL, UM
OBJECTIVES:To evaluate the impact of a laparoscopic resection on postoperative mortality after colorectal cancer surgery.
BACKGROUND:The question whether laparoscopic resection (LR) compared with ...open surgery open resection (OR) for colorectal cancer influences the risk of postoperative mortality remains unresolved. Several meta-analyses showed a trend but failed to reach statistical significance. The exclusion of high-risk patients and insufficient power might be responsible for that. We analyzed the influence of LR on postoperative mortality in a risk-stratified comparison and secondly, we studied the effect of LR on postoperative morbidity.
METHODS:Data from the Dutch Surgical Colorectal Audit (2010–2013) were used. Homogenous subgroups of patients were defined on the basis of factors influencing the choice of surgical approach and risk factors for postoperative mortality. Crude mortality rates were compared between LR and OR. The influence of LR on postoperative complications was evaluated using both univariable and multivariable analyses.
RESULTS:In patients undergoing elective surgery for nonlocally advanced, nonmetastasized colon cancer, LR was associated with a significant lower risk of postoperative mortality than OR in 20/22 subgroups. LR was independently associated with a lower risk of cardiac (odds ratio0.73, 95% confidence interval0.66–0.82) and respiratory (odds ratio0.73, 95% confidence interval0.64–0.84) complications.
CONCLUSIONS:LR reduces the risk of postoperative mortality compared with OR in elective setting in patients with nonlocally advanced, nonmetastasized colorectal cancer. Especially elderly frail patients seem to benefit because of reduced cardiopulmonary complications. These findings support widespread implementation of LR for colorectal cancer also in patients at high operative risk.
Body fluid N-glycome analysis as well as glyco-proteoform profiling of existing protein biomarkers potentially provides a stratification layer additional to quantitative, diagnostic protein levels. ...For clinical omics applications, the collection of a dried blood spot (DBS) is increasingly pursued as an alternative to sampling milliliters of peripheral blood. Here we evaluate DBS cards as a blood collection strategy for protein N-glycosylation analysis aiming for high-throughput clinical applications. A protocol for facile N-glycosylation profiling from DBS is developed that includes sialic acid linkage differentiation. This protocol is based on a previously established total plasma N-glycome mass spectrometry (MS) method, with adjustments for the analysis of DBS specimens. After DBS-punching and protein solubilization N-glycans are released, followed by chemical derivatization of sialic acids and MS-measurement of N-glycan profiles. With this method, more than 80 different glycan structures are identified from a DBS, with RSDs below 10% for the ten most abundant glycans. N-glycan profiles of finger-tip blood and venous blood are compared and short-term stability of DBS is demonstrated. This method for fast N-glycosylation profiling of DBS provides a minimally invasive alternative to conventional serum and plasma protein N-glycosylation workflows. With simplified blood sampling this DBS approach has vast potential for clinical glycomics applications.
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•A method was developed for N-glycome profile analysis from dried blood spots.•The method: sampling, glycan release, derivatization, purification and MS-analysis.•Short term stability shows great potential for storage of dried blood spots.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Background
Colorectal cancer is diagnosed in approximately 500,000 patients each year in Europe, leading to a high number of patients having to cope with the consequences of resection for colorectal ...cancer. As treatment options tend to grow, more information on the effects of these treatments is needed to engage in shared decision‐making. This study aims to explore the impact of resection for colorectal cancer on patients' daily life.
Methods
Patients (≥18 years of age) who underwent an oncological colorectal resection between 2018 and 2021 were selected. Purposeful sampling was used to include patients who differed in age, comorbidity conditions, types of (neo)adjuvant therapy, postoperative complications and the presence/absence of a stoma. Semi‐structured interviews were conducted, guided by a topic guide. Interviews were fully transcribed and subsequently thematically analysed using the framework approach. Analyses were carried out using the following predefined themes: (1) daily life and activities; (2) psychological functioning; (3) social functioning; (4) sexual functioning; and (5) healthcare experiences.
Results
Sixteen patients with a follow‐up period of between 0.6 and 4.4 years after surgery were included in this study. Participants reported several challenges experienced because of poor bowel function, a stoma, chemotherapy‐induced neuropathy, fear of recurrence and sexual dysfunction. However, they reported these as not interfering much with daily life.
Conclusion
Colorectal cancer treatment leads to several challenges and treatment‐related health deficits. This is often not recognized by generic patient‐reported outcome measures, but the findings on treatment‐related health deficits presented in this study contain valuable insights which might contribute to improving colorectal cancer care, shared decision making and value‐based health care.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Patients undergoing complex gastrointestinal surgery are at high risk of major postoperative complications (e.g., anastomotic leakage, sepsis), classified as Clavien-Dindo (CD) ≥ IIIa. Identification ...of preoperative risk factors can lead to the identification of high-risk patients. These risk factors can also be used to design personalized perioperative care. This systematic review focuses on the identification of these factors. The Medline and Embase databases were searched for prospective, retrospective cohort studies and randomized controlled trials investigating the effect of risk factors on the occurrence of major postoperative complications and/or mortality after complex gastrointestinal cancer surgery. Risk of bias was assessed using the Quality in Prognostic Studies tool. The level of evidence was graded based on the number of studies reporting a significant association between risk factors and major complications. A total of 207 eligible studies were retrieved, identifying 33 risk factors for major postoperative complications and 13 preoperative laboratory results associated with postoperative complications. The present systematic review provides a comprehensive overview of preoperative risk factors associated with major postoperative complications. A wide range of risk factors are amenable to actions in perioperative care and prehabilitation programs, which may lead to improved outcomes for high-risk patients. Additionally, the knowledge of this study is important for benchmarking surgical outcomes.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Background
Oncological sigmoid and rectal resections are accompanied with substantial risk of anastomotic leakage. Preoperative risk assessment and patient selection remain difficult, highlighting ...the importance of finding easy‐to‐use parameters. This study evaluates the prognostic value of contrast‐enhanced (CE) computed tomography (CT)‐based muscle measurements for predicting anastomotic leakage.
Methods
Patients that underwent oncological sigmoid and rectal resections in the LUMC between 2016 and 2020 were included. Preoperative CE‐CT scans, were analyzed using Vitrea software to measure total abdominal muscle area (TAMA) and total psoas area (TPA). Muscle areas were standardized using patient's height into: psoas muscle index (PMI) and skeletal muscle index (SMI) (cm2/m2).
Results
In total 46 patients were included, of which 13 (8.9%) suffered from anastomotic leakage. Patients with anastomotic leakage had a significantly lower PMI (22.1 vs. 25.1, p < 0.01) and SMI (41.8 vs. 46.6, p < 0.01). After adjusting for confounders (age and comorbidity), lower PMI (odds ratio OR: 0.85, 95% confidence interval CI 0.71–0.99, p = 0.03) and SMI (OR: 0.93, 95%CI 0.86–0.99, p = 0.02) were both associated with anastomotic leakage.
Conclusion
This study showed that lower PMI and SMI were associated with anastomotic leakage. These results indicate that preoperative CT‐based muscle measurements can be used as prognostic factor for risk stratification for anastomotic leakage.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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