Underestimation of risk of a BRCA1 or BRCA2 mutation in women with high-grade serous ovarian cancer by BRCAPRO: a multi-institution study

Endogenous Propionibacterium acnes Promotes Ovarian Cancer Progression via Regulating Hedgehog Signalling Pathway

BACKGROUND

The oncogenesis and progression of epithelial ovarian cancer (EOC) is a complicated process involving several key molecules and factors, yet whether microbiota are present in EOC, and their role in the development of EOC, remains greatly unknown.

METHODS

In this study, 30 patients were enrolled to compare the similarities and differences of intratumour microbiota among patients with epithelial benign ovarian tumours (EBOTs) and patients with EOC based on the high-throughput sequencing method. Subsequently, we further isolated the specific EOC-related bacteria and defined Propionibacterium acnes as a key strain in facilitating EOC progression. More importantly, we constructed a mouse EOC model to evaluate the effect of the P. acnes strain on EOC using immunohistochemistry, Western blotting, and RT-qPCR.

RESULTS

The high-throughput sequencing showed that the intratumour microbiota in EOC tissues had a higher microbial diversity and richness compared to EBOT tissues. The abundance of previously considered pathogens, Actinomycetales, Acinetobacter, Streptococcus, Ochrobacterium, and Pseudomonadaceae Pseudomonas, was increased in the EOC tissues. Meanwhile, we discovered the facilitating role of the P. acnes strain in the progression of EOC, which may be partially associated with the increased inflammatory response to activate the hedgehog (Hh) signalling pathway. This microbial-induced EOC progression mechanism is further confirmed using the inhibitor GANT61.

CONCLUSIONS

This study profiled the intratumour microbiota of EBOT and EOC tissues and demonstrated that the diversity and composition of the intratumour microbiota were significantly different. Furthermore, through in vivo and in vitro experiments, we confirmed the molecular mechanism of intratumour microbiota promotion of EOC progression in mice, which induces inflammation to activate the Hh signalling pathway. This could provide us clues for improving EOC treatment.

BRCA1/2 mutations, including large genomic rearrangements, among unselected ovarian cancer patients in Korea

Objective

We performed small-scale mutation and large genomic rearrangement (LGR) analysis of BRCA1/2 in ovarian cancer patients to determine the prevalence and the characteristics of the mutations.

Methods

All ovarian cancer patients who visited a single institution between September 2015 and April 2017 were included. Sanger sequencing, multiplex ligation-dependent probe amplification (MLPA), and long-range polymerase chain reaction (PCR) were performed to comprehensively study BRCA1/2. The genetic risk models BRCAPRO, Myriad, and BOADICEA were used to evaluate the mutation analysis.

Results

In total, 131 patients were enrolled. Of the 131 patients, Sanger sequencing identified 16 different BRCA1/2 small-scale mutations in 20 patients (15.3%). Two novel nonsense mutations were detected in 2 patients with a serous borderline tumor and a large-cell neuroendocrine carcinoma. MLPA analysis of BRCA1/2 in Sanger-negative patients revealed 2 LGRs. The LGRs accounted for 14.3% of all identified BRCA1 mutations, and the prevalence of LGRs identified in this study was 1.8% in 111 Sanger-negative patients. The genetic risk models showed statistically significant differences between mutation carriers and non-carriers. The 2 patients with LGRs had at least one blood relative with breast or ovarian cancer.

Conclusion

Twenty-two (16.8%) of the unselected ovarian cancer patients had BRCA1/2 mutations that were detected through comprehensive BRCA1/2 genetic testing. Ovarian cancer patients with Sanger-negative results should be considered for LGR detection if they have one blood relative with breast or ovarian cancer. The detection of more BRCA1/2 mutations in patients is important for efforts to provide targeted therapy to ovarian cancer patients.

Targeting homologous repair deficiency in breast and ovarian cancers: Biological pathways, preclinical and clinical data

Mutation or epigenetic silencing of homologous recombination (HR) repair genes is characteristic of a growing proportion of triple-negative breast cancers (TNBCs) and high-grade serous ovarian carcinomas. Defects in HR lead to genome instability, allowing cells to acquire the multiple genetic alterations essential for cancer development. However, this deficiency can also be exploited by using DNA damaging agents or by targeting compensatory repair pathways. A noteworthy example is treatment of TNBC and epithelial ovarian cancer harboring BRCA1/2 germline mutations using platinum salts and/or PARP inhibitors. Dramatic responses to PARP inhibitors may support a wider use in the HR-deficient population beyond those with mutated germline BRCA1 and 2. In this review, we discuss HR deficiency hallmarks as predictive biomarkers for platinum salt and PARP inhibitor sensitivity for selecting patients affected by TNBC or epithelial ovarian cancer who could benefit from these therapeutic options.

How can molecular abnormalities influence our clinical approach

Background

Despite improvements in diagnostics and treatment, the clinical outcome of epithelial ovarian cancer remains poor over the last three decades. Recent high-throughput genomic studies have demonstrated ovarian cancer as a highly heterogeneous entity with distinctive molecular signatures among different or even within the same histotype. In this article, we review the molecular genetics of epithelial ovarian cancer and how they have been translated into modern clinical trials, as well as their implications in patient stratification for more targeted and personalized approaches.

Patients and methods

Multiple genomic studies were collected to summarize the major advances in understanding ovarian cancer-associated molecular abnormalities with emphasis on their potential clinical applicability to rationalize the design of recent clinical trials.

Results

The clinical management of ovarian cancer can significantly benefit from comprehensive molecular profiling studies, which have uncovered the distinctiveness of ovarian cancer subsets bearing characteristic genomic aberrance and consequentially dysregulated genes and pathways underlying the tumor progression and chemoresistance. Genomics studies have demonstrated a powerful tool to delineate the molecular basis responsible for diverse clinical behaviors associated with tumor histology and grade. In addition, molecular signatures obtained by integrated 'omics' analyses have promised opportunities for novel therapeutic or stratification biomarkers to tailor current clinical management as well as novel predictive tools of clinical end points including patient prognosis and therapeutic efficacy.

Conclusions

Recent progress in understanding the molecular landscape of ovarian cancer has profoundly shifted the design of clinical trials from empirical, unitary paradigms to more rationalized and personalized regimes. Correspondingly, a promising prospective has emerged for ovarian cancer patients to have considerably improved outcome upon careful alignment of patient characteristics, therapeutic biomarkers and targeting approaches. Nevertheless, extensive validation and inference of potential biomarkers are pressing demands on both bioinformatic and biological levels to warrant sufficient clinical relevance for potential translation, so that the performance of related clinical trial can be well predicted and achieved.

Clinical utility of a self-administered questionnaire for assessment of hereditary gynecologic cancer

Background

A patient's medical history and familial cancer history are important information for assessing the risk of hereditary cancer. We have generated a self-administered questionnaire for patients with gynecologic cancer. This pilot study analyzed the usefulness of this questionnaire and the rates of patients that meet the Society of Gynecologic Oncology criteria in ovarian cancer and endometrial cancer patients.

Method

Ovarian or endometrial cancer patients were recruited for this study. After informed consent was obtained, participants completed the questionnaire. Genetic risks were assessed from the data of each patient's questionnaire by Society of Gynecologic Oncology guideline. Clinical and pathological findings were compared between the genetic risk groups.

Results

A total of 105 patients were identified with ovarian cancer and 56 patients with endometrial cancer eligible for this study. According to the Society of Gynecologic Oncology guideline, of the 105 ovarian cancer patients, 25 patients (23%) had a 20–25% risk and three patients (2.9%) had a 5–10% risk of hereditary breast and ovarian cancer syndrome. A further 22 patients (21%) had a 5–10% risk of Lynch syndrome. Two patients (1.9%) met the Amsterdam criteria II. Of 56 endometrial cancer patients, 24 patients (42.9%) had a 5–10% risk of Lynch syndrome. The endometrial cancer patients with genetic risk of Lynch syndrome were younger (mean age: 47.79) at diagnosis compared to patients without a genetic risk of Lynch syndrome (mean age: 57.91).

Conclusions

In this study, we were able to show that the newly designed questionnaire is a useful tool for evaluating cancer family history along with Society of Gynecologic Oncology criteria or Amsterdam criteria II. When considering the risk of Lynch syndrome for a patient with ovarian cancer, it is important to collect a second and third relative's family history.

Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models

Mismeasured time to event data used as a predictor in risk prediction models will lead to inaccurate predictions. This arises in the context of self-reported family history, a time to event predictor often measured with error, used in Mendelian risk prediction models. Using validation data, we propose a method to adjust for this type of error. We estimate the measurement error process using a nonparametric smoothed Kaplan-Meier estimator, and use Monte Carlo integration to implement the adjustment. We apply our method to simulated data in the context of both Mendelian and multivariate survival prediction models. Simulations are evaluated using measures of mean squared error of prediction (MSEP), area under the response operating characteristics curve (ROC-AUC), and the ratio of observed to expected number of events. These results show that our method mitigates the effects of measurement error mainly by improving calibration and total accuracy. We illustrate our method in the context of Mendelian risk prediction models focusing on misreporting of breast cancer, fitting the measurement error model on data from the University of California at Irvine, and applying our method to counselees from the Cancer Genetics Network. We show that our method improves overall calibration, especially in low risk deciles.

Pathology update to the Manchester Scoring System based on testing in over 4000 families

BACKGROUND

While the requirement for thresholds for testing for mutations in BRCA1/2 is being questioned, they are likely to remain for individuals unaffected by a relevant cancer. It is still useful to provide pretesting likelihoods, but models need to take into account tumour pathology.

METHODS

The Manchester Scoring System (MSS) is a well-used, simple, paper-based model for assessing carrier probability that already incorporates pathology data. We have used mutation testing data from 4115 unrelated samples from affected non-Jewish individuals alongside tumour pathology to further refine the scoring system.

RESULTS

Adding additional points for high-grade serous ovarian cancer <60 (HGSOC=+2) and adding grade score to those with triple-negative breast cancer, while reducing the score for those with HER2+ breast cancer (-6), resulted in significantly improved sensitivity and minor improvements in specificity to the MSS. Sporadic HGSOC <60 years thus reached a score of 15-19 points within the 10% grouping consistent with the 15/113-13.2% that were identified with a BRCA1/2 pathogenic variant. Validation in a population series of ovarian cancer from Cambridge showed high sensitivity at the 10% threshold 15/17 (88.2%).

CONCLUSIONS

The new pathology-adjusted Manchester score MSS3 appears to provide an effective and simple-to-use estimate of the 10% and 20% thresholds for BRCA1/2 likelihood. For unaffected individuals, the 20-point (20%) threshold in their affected first-degree relative can be used to determine eligibility at the 10% threshold.

BRCA1 and BRCA2 mutation predictions using the BRCAPRO and Myriad models in Korean ovarian cancer patients

OBJECTIVE

To evaluate the predictive efficacies including sensitivity and positive predictive value of the genetic risk prediction model BRCAPRO and the Myriad BRCA risk calculator in Korean ovarian cancer patients.

METHODS

Individuals undergoing genetic testing for BRCA mutations from November 2010-August 2016 were recruited from the Department of Obstetrics and Gynecology at a single institute in Korea. The observed BRCA1 and BRCA2 mutation statuses were compared with the predicted carrier probabilities using BRCAPRO and the Myriad BRCA risk calculator.

RESULTS

Two hundred thirty-two patients were recruited, of whom 99.1% (230/232) were of Korean ethnicity. Of the 232 individuals, 206 and 26 had ovarian and double primary breast/ovarian cancer, respectively. Thirty-six individuals had a family history of breast/ovarian cancer in first-degree relatives. Fifty-seven patients (24.6%) tested positive for BRCA mutation (41 BRCA1, 16 BRCA2). The mean BRCAPRO and Myriad scores for all patients were 6.4% and 7.7%, respectively. The scores were significantly higher for patients with positive BRCA mutation status (29.0% vs. 6.1%, P<0.001, 12.1% vs. 7.7%, P<0.001, respectively). For all patients, the respective areas under the receiver operating characteristics curves were 0.720 and 0.747 for the BRCAPRO and Myriad models to predict the risk of carrying a BRCA mutation. Both models overestimated the mutation probability in patients with a family history of breast/ovarian cancer (1.55-fold and 1.50-fold, respectively) and underestimated the probability in patients without a family history (both, 0.54-fold).

CONCLUSION

BRCAPRO and Myriad seem to be acceptable risk assessment tools for determining the risk of carrying BRCA mutations in Korean ovarian cancer patients.

Epidemiology of Patients with Ovarian Cancer with and Without a BRCA1/2 Mutation

Ovarian cancer survival rates have improved only slightly in recent decades; however, treatment of this disease is expected to undergo rapid change as strategies incorporating molecular-targeted therapies enter clinical practice. Carriers of deleterious mutations (defined as a harmful mutation) in either the BRCA1 or BRCA2 gene (BRCAm) have a significantly increased risk of developing ovarian cancer. Epidemiology data in large (>500 patients) unselected ovarian cancer populations suggest that the expected incidence rate for BRCAm in this population is 12-14 %. Patients with a BRCAm are typically diagnosed at a younger age than those without a BRCAm. Associations with BRCAm vary according to ethnicity, with women of Ashkenazi Jewish descent being 10 times more likely to have a BRCAm than the general population. In terms of survival, patients with invasive epithelial ovarian cancer who have a BRCAm may have improved overall survival compared with patients who do not carry a BRCAm. Although genetic testing for BRCAm remains relatively uncommon in ovarian cancer patients, testing is becoming cheaper and increasingly accessible; however, this approach is not without numerous social, ethical and policy issues. Current guidelines recommend BRCAm testing in specific ovarian cancer patients only; however, with the emergence of treatments that are targeted at patients with a BRCAm, genetic testing of all patients with high-grade serous ovarian cancer may lead to improved patient outcomes in this patient population. Knowledge of BRCAm status could, therefore, help to inform treatment decisions and identify relatives at increased risk of developing cancer.

Patient Counseling and Management of Symptoms During Olaparib Therapy for Recurrent Ovarian Cancer

: Our primary objective is to review the safety and tolerability profile of olaparib, a novel anticancer therapy, and to discuss key considerations for symptom management in patients with advanced ovarian cancer. Olaparib is the first of a new class of anticancer therapies, poly (ADP-ribose) polymerase (PARP) inhibitors that target tumors that have deficits in homologous recombination repair (such as BRCA mutations) by a process known as synthetic lethality. Through this process, neither the deficiency in homologous recombination repair nor PARP inhibition alone is cytotoxic, but the combination of these two conditions leads to cell death. In December 2014, olaparib received accelerated approval by the U.S. Food and Drug Administration (FDA) as monotherapy for patients with known or suspected deleterious germline BRCA-mutated (as detected by an FDA-approved test) advanced ovarian cancer who had been treated with at least three lines of chemotherapy. Most adverse events (AEs) reported during olaparib clinical trials conducted in patients with recurrent ovarian cancer and measurable disease were of grade 2 or less severity according to the National Cancer Institute's Common Terminology Criteria for Adverse Events. Fatigue and gastrointestinal AEs are among the most common in ovarian cancer clinical trials and can be particularly bothersome to patients. We focus on interventions to address these AEs in patients who are candidates for treatment with olaparib and allow them to remain on therapy for as long as clinically indicated.

IMPLICATIONS FOR PRACTICE

Olaparib therapy represents a new approach to treating recurrent ovarian cancer. Some associated adverse events can have a substantial effect on quality of life. It is therefore important for patients, caregivers, and health care providers to have realistic expectations and a thorough understanding of the safety and tolerability profile of olaparib to prevent or alleviate key symptoms so that therapy can continue uninterrupted if possible. This report summarizes a practical approach to supportive care for patients receiving olaparib therapy.

Homologous recombination deficiency and ovarian cancer

The discovery that PARP inhibitors block an essential pathway of DNA repair in cells harbouring a BRCA mutation has opened up a new therapeutic avenue for high-grade ovarian cancers. BRCA1 and BRCA2 proteins are essential for high-fidelity repair of double-strand breaks of DNA through the homologous recombination repair (HRR) pathway. Deficiency in HRR (HRD) is a target for PARP inhibitors. The first PARP inhibitor, olaparib, has now been licensed for BRCA-mutated ovarian cancers. While mutated BRCA genes are individually most commonly associated with HRD other essential HRR proteins may be mutated or functionally deficient potentially widening the therapeutic opportunities for PARP inhibitors. HRD is the first phenotypically defined predictive marker for therapy with PARP inhibitors in ovarian cancer. Several different PARP inhibitors are being trialled in ovarian cancer and this class of drugs has been shown to be a new selective therapy for high-grade ovarian cancer. Around 20% of high-grade serous ovarian cancers harbour germline or somatic BRCA mutations and testing for BRCA mutations should be incorporated into routine clinical practice. The expanded use of PARP inhibitors in HRD deficient (non-BRCA mutant) tumours using a signature of HRD in clinical practice requires validation.

Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) accounts for 70-80% of ovarian cancer deaths, and overall survival has not changed significantly for several decades. In this Opinion article, we outline a set of research priorities that we believe will reduce incidence and improve outcomes for women with this disease. This 'roadmap' for HGSOC was determined after extensive discussions at an Ovarian Cancer Action meeting in January 2015.

Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) accounts for 70-80% of ovarian cancer deaths, and overall survival has not changed significantly for several decades. In this Opinion article, we outline a set of research priorities that we believe will reduce incidence and improve outcomes for women with this disease. This 'roadmap' for HGSOC was determined after extensive discussions at an Ovarian Cancer Action meeting in January 2015.

Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) accounts for 70-80% of ovarian cancer deaths, and overall survival has not changed significantly for several decades. In this Opinion article, we outline a set of research priorities that we believe will reduce incidence and improve outcomes for women with this disease. This 'roadmap' for HGSOC was determined after extensive discussions at an Ovarian Cancer Action meeting in January 2015.

Secondary Primary Malignancy Risk in Patients With Ovarian Cancer in Taiwan: A Nationwide Population-Based Study

To evaluate the incidence of secondary primary malignancy (SPM) in patients with ovarian cancer using a nationwide retrospective population-based dataset. Patients newly diagnosed with ovarian cancer between 1997 and 2010 were identified using Taiwan's National Health Insurance database. Patients with antecedent malignancies were excluded. Standardized incidence ratios (SIRs) for SPM were calculated and compared with the cancer incidence in the general population. Risk factors for cancer development were analyzed using Cox proportional hazard models. Effects of surgery, chemotherapy, and radiotherapy after ovarian cancer diagnosis were regarded as time-dependent variables to prevent immortal time bias. During the 14-year study period (follow-up of 56,214 person-years), 707 cancers developed in 12,127 patients with ovarian cancer. The SIR for all cancers was 2.78 (95% confidence interval 2.58-3.00). SIRs for follow-up periods of >5, 1-5, and <1 year were 1.87, 2.04, and 6.40, respectively. After the exclusion of SPM occurring within 1 year of ovarian cancer diagnosis, SIRs were significantly higher for cancers of the colon, rectum, and anus (2.14); lung and mediastinum (1.58); breast (1.68); cervix (1.65); uterus (7.96); bladder (3.17), and thyroid (2.23); as well as for leukemia (3.98) and others (3.83). Multivariate analysis showed that age ≥ 50 years was a significant SPM risk factor (hazard ratio [HR] 1.60). Different treatments for ovarian cancer, including radiotherapy (HR 2.07) and chemotherapy (HR 1.27), had different impacts on SPM risk. Patients with ovarian cancer are at increased risk of SPM development. Age ≥ 50 years, radiotherapy, and chemotherapy are independent risk factors. Close surveillance of patients at high risk should be considered for the early detection of SPM.

Cancer Visibility among Iranian Familial Networks: To What Extent Can We Rely on Family History Reports?

OBJECTIVE

Patients' unawareness of their cancer diagnosis (PUAW) and their tendency for non-disclosure (TTND) to relatives leads to a lack of cancer visibility among familial networks. Lack of familial cancer visibility could affect the accuracy of family cancer history (FCH) reports. In this study, we investigated familial cancer visibility and its potential determinants.

PATIENTS AND METHODS

A sample of patients with a confirmed cancer diagnosis was interviewed. Participants were asked about their number of relatives, number of their relatives who are aware about the cancer diagnosis, and the number of relatives from whom they intended to conceal their diagnosis. PUAW was also assessed. Point estimates and 95% confidence intervals were calculated using the bootstrap technique. Multivariate analyses were conducted using mixed Poisson and logistic regression analyses.

RESULTS

A total of 415 participants with a mean age of 53±15 years and a male to female ratio of 0.53 were enrolled in this study. The rates of PUAW, TTND, and familial cancer visibility in the total sample were 0.20 (95% confidence interval (CI): 0.16, 0.24), 0.16 (95% CI: 0.12, 0.19), and 0.86 (95% CI: 0.83, 0.89), respectively. PUAW (adjusted rate ratio (RR) = 1.32, 95% CI: 1.27, 1.38), TTND (RR = 0.92, 95% CI: 0.91, 0.93), and the patients' gender (RR = 0.92, 95% CI: 0.82, 0.95) were the most important determinants of familial cancer visibility.

CONCLUSION

Familial cancer visibility may be a point of concern among the Iranian population. Self-reported cancer histories and FCHs may have low sensitivities (not exceeding 80% and 86%, respectively) in this population. However, these estimates may vary across different societies, because of societal and cultural contexts.

Identification of Prognostic Groups in High-Grade Serous Ovarian Cancer Treated with Platinum-Taxane Chemotherapy

Disseminated high-grade serous ovarian cancer (HGS-OvCa) is an aggressive disease treated with platinum and taxane combination therapy. While initial response can be favorable, the disease typically relapses and becomes resistant to treatment. As genomic alterations in HGS-OvCa are heterogeneous, identification of clinically meaningful molecular markers for outcome prediction is challenging. We developed a novel computational approach (PSFinder) that fuses transcriptomics and clinical data to identify HGS-OvCa prognostic subgroups for targeted treatment. Application of PSFinder to transcriptomics data from 180 HGS-OvCa patients treated with platinum-taxane therapy revealed 61 transcript isoforms that characterize two poor and one good survival-associated groups (P = 0.007). These groups were validated in eight independent data sets, including a prospectively collected ovarian cancer cohort. Two poor prognostic groups have distinct expression profiles and are characteristic by increased hypermethylation and stroma-related genes. Integration of the PSFinder signature and BRCA1/2 mutation status allowed even better stratification of HGS-OvCa patients' prognosis. The herein introduced novel and generally applicable computational approach can identify outcome-related subgroups and facilitate the development of precision medicine to overcome drug resistance. A limited set of biomarkers divides HGS-OvCa into three prognostic groups and predicts patients in need of targeted therapies.

Genetic risk assessment for breast and gynecological malignancies

PURPOSE OF REVIEW

Breast cancer and gynecological cancers impact a significant portion of women each year. Identifying women at high risk is essential for implementation of screening and risk reduction recommendations. Risk assessment for these cancers involves an evaluation of many factors. This review discusses an overview of hereditary breast and gynecological cancers and the process of a cancer genetic risk assessment.

RECENT FINDINGS

Risk assessment models for breast cancer should be used with caution, especially in populations in which they are not validated. Additionally, the BRCAPRO model may underestimate the likelihood of BRCA mutations in certain populations.The utilization of next-generation sequencing panels is increasing. Benefits and limitations of panel testing are described in the literature. There are currently no guidelines for the use of panel testing; however, some reports of institutional experiences and recommendations are available.

SUMMARY

Cancer genetic risk assessment is complex, and models developed to estimate risk may not apply to all populations. Identifying genetic factors related to cancer risk is also becoming increasingly complex with the clinical implementation of panel testing. This testing approach should be critically evaluated by healthcare providers. Further research is needed to create evidence-based guidelines for panel testing and management recommendations for moderately penetrant genes.

Genetic testing and familial implications in breast-ovarian cancer families

DNA-testing for BRCA1 and BRCA2 has become incorporated in the diagnostic procedure of patients with breast and/or ovarian cancer. Since 1994 an immense amount of information has been gathered on mutation spectra, mutation risk assessment, cancer risks for mutation carriers, factors that modify these risks, unclassified DNA variants, surveillance strategies and preventive options. For the patient and family the main determinator still is whether a mutation is found or not. When a pathogenic mutation is detected in an index case, relatives can opt for pre-symptomatic DNA testing. However in the vast majority no mutation, or only unclear mutations are detectable yet. This means that a hereditary cause cannot be excluded, but pre-symptomatic DNA-testing is still unavailable for relatives. Surveillance for both index cases and relatives is based of the family history of cancer. Next generation genetic testing may help to elucidate genetic causes in these families.