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Top genotyped SNP associations with metastasis at diagnosis in the discovery and all replication studies.

Top 30 loci associated with metastasis at diagnosis in the discovery set of 541 European osteosarcoma cases.

Relationship of variables to metastasis at diagnosis in the discovery set.

SNPs in the NFIB locus associated with metastasis at diagnosis with P{less than or equal to}1x10-5 in the discovery stage, and functionally annotated with information from the ENCODE and 1000 Genomes Project data.

Associations of the top GWAS and imputed SNP with metastasis at diagnosis in the discovery stage (European ancestry) by inheritance model.

Supplementary Figure 1. Manhattan plot of the Discovery stage. SNPs in the NFIB risk locus are highlighted in green. Supplementary Figure 2. LD structure of the NFIB risk locus. Plot was made using the CEU population of the 1000 Genomes Project data with LDlink (ref 54). Supplementary Figure 3. Significant relationship between the genotype of the metastasis associated SNP rs7034162, and expression of NFIB and IGFBP5 in osteosarcoma cell lines and tumors. Significance is based on linear regression comparing the distribution of expression of NFIBbetween the TT homozygous non-risk genotype (combined N=34) of rs7034162 genotypes to the heterozygous risk AT (combined N=10) and the homozygous risk AA genotypes (combined N=2). The green triangle represents the expression levels in the OSA cell line, the blue circle is expression levels in the HOS cell line, and the red square the U2OS cell line expression. These analyses were based on the publically available genotype and expression data from 17 osteosarcoma cell lines and 29 osteosarcoma tumors (ref 20). Supplementary Figure 4. No significant relationship between the genotype of the metastasis associated SNP, rs7034162, and expression of protein-encoding genes FREM1, ZDHHC1, and MPDZ in the neighborhood of NFIB in osteosarcoma cell lines and tumors. Significance is based on linear regression comparing the distribution of expression of FREM1, ZDHHC1, and MPDZ between the TT homozygous non-risk genotype (combined N=34) of rs7034162 genotypes to the heterozygous risk AT (combined N=10) and the homozygous risk AA genotypes (combined N=2). The green triangle represents the expression levels in the OSA cell line, the blue circle is expression levels in the HOS cell line, and the red square the U2OS cell line expression. These analyses were based on the publically available genotype and expression data from 17 osteosarcoma cell lines and 29 osteosarcoma tumors (ref 20). Supplementary Figure 5. The human osteosarcoma cell lines, U2OS and HOS, had higher NFIB protein levels then OSA cells. NFIB levels were determined using immunoblot analysis in the OSA, HOS and U2OS cells both basal (A) and after treatment with siRNA against NFIB (B). Supplementary Figure 6. NFIB expression significantly correlates with IGFBP5 expression in osteosarcoma cell lines and tumors. Significance is based on linear regression comparing the expression levels of NFIB with the corresponding IGFBP5 expression levels. Supplementary Figure 7. Expression levels of IGFBP5 decreases after NFIB suppression of human osteosarcoma cell lines. IGFBP5 expression of OSA, HOS and U2OS cells was determined 48 hours after transfection with control siRNA (si-NEG) or siRNA targeting NFIB (si-NFIB). Graph showing relative expression compared to control treated U2OS cells. Supplementary Figure 8. A model of how the NFIB risk locus leads to changes in NFIB expression and potentially may affect osteosarcoma metastatic potential. The risk allele (right panel) leads to lowered expression of NFIB and NFIB-mediated lower expression of IGFPB5, which then leads to less IGFBP5-mediated inhibition of IGF-1 (right panel, grey arrows), leading to an increase in proliferation, survival and metastasis of osteosarcoma cells (right panel, black arrows). The reference allele (left panel) leads to both higher expression of NFIB and higher expression of NFIB-mediated IGFPB5. In turn, higher IGFBP5 levels leads to increased inhibition of IGF-1 (left panel, black arrows), leading to a decrease in proliferation, survival and metastasis of osteosarcoma cells (left panel, grey arrows). Supplementary Figure 9. Plot of the PCA Eigenvectors of the Discovery stage. Supplementary Figure 10. QQ-plot of the Discovery stage.

Description of participating case studies.

Background: Li–Fraumeni syndrome (LFS) is associated with germline TP53 mutations and a very high lifetime cancer risk. Algorithms that assess a patient's risk of inherited cancer predisposition are often used in clinical counseling. The existing LFS criteria have limitations, suggesting the need for an advanced prediction tool to support clinical decision making for TP53 mutation testing and LFS management.Methods: Based on a Mendelian model, LFSPRO estimates TP53 mutation probability through the Elston–Stewart algorithm and consequently estimates future risk of cancer. With independent datasets of 1,353 tested individuals from 867 families, we evaluated the prediction performance of LFSPRO.Results: LFSPRO accurately predicted TP53 mutation carriers in a pediatric sarcoma cohort from MD Anderson Cancer Center in the United States, the observed to expected ratio (OE) = 1.35 (95% confidence interval, 0.99–1.80); area under the receiver operating characteristic curve (AUC) = 0.85 (0.75–0.93); a population-based sarcoma cohort from the International Sarcoma Kindred Study in Australia, OE = 1.62 (1.03–2.55); AUC = 0.67 (0.54–0.79); and the NCI LFS study cohort, OE = 1.28 (1.17–1.39); AUC = 0.82 (0.78–0.86). LFSPRO also showed higher sensitivity and specificity than the classic LFS and Chompret criteria. LFSPRO is freely available through the R packages LFSPRO and BayesMendel.Conclusions: LFSPRO shows good performance in predicting TP53 mutations in individuals and families in varied situations.Impact: LFSPRO is more broadly applicable than the current clinical criteria and may improve clinical management for individuals and families with LFS. Cancer Epidemiol Biomarkers Prev; 26(6); 837–44. ©2017 AACR.

Accurate assessment of TP53 gene status in sporadic tumors and in the germline of individuals at high risk of cancer due to Li–Fraumeni Syndrome (LFS) has important clinical implications for diagnosis, surveillance, and therapy. Genomic data from more than 20,000 cancer genomes provide a wealth of information on cancer gene alterations and have confirmed TP53 as the most commonly mutated gene in human cancer. Analysis of a database of 70,000 TP53 variants reveals that the two newly discovered exons of the gene, exons 9β and 9γ, generated by alternative splicing, are the targets of inactivating mutation events in breast, liver, and head and neck tumors. Furthermore, germline rearrange-ments in intron 1 of TP53 are associated with LFS and are frequently observed in sporadic osteosarcoma. In this context of constantly growing genomic data, we discuss how screening strategies must be improved when assessing TP53 status in clinical samples. Finally, we discuss how TP53 alterations should be described by using accurate nomenclature to avoid confusion in scientific and clinical reports. Cancer Res; 77(6); 1250–60. ©2017 AACR.

This study assessed the psychological predictors of preferences for return of comprehensive tumor genomic profiling (CTGP) results in patients with advanced cancers, enrolled in the Molecular Screening and Therapeutics Program. Patients completed a questionnaire prior to undergoing CTGP. Of the 1434 who completed a questionnaire, 96% would like to receive results that can guide treatment for their cancer, and preference for receiving this type of result was associated with lower tolerance of uncertainty. Sixty-four percent would like to receive results that cannot guide treatment, and lower tolerance of uncertainty, self-efficacy, and perceived importance were associated with this preference. Fifty-nine percent would like to receive variants of unknown significance, which was associated with lower tolerance of uncertainty, higher self-efficacy, and perceived importance. Eighty-six percent wanted to receive germline results that could inform family risk. This was associated with higher self-efficacy, perceived importance, and perceived susceptibility. Although most patients wanted to receive all types of results, given the differing patient preferences regarding the return of results depending on the utility of the different types of results, it appears critical to safeguard patient understanding of result utility to achieve informed patient choices. This should be accompanied by appropriate consent processes.

Identification of cancer-predisposing germline variants in childhood cancer patients is important for therapeutic decisions, disease surveillance and risk assessment for patients, and potentially, also for family members. We investigated the spectrum and prevalence of pathogenic germline variants in selected childhood cancer patients with features suggestive of genetic predisposition to cancer. Germline DNA was subjected to exome sequencing to filter variants in 1048 genes of interest including 176 known cancer predisposition genes (CPGs). An enrichment burden analysis compared rare deleterious germline CPG variants in the patient cohort with those in a healthy aged control population. A subset of predicted deleterious variants in novel candidate CPGs was investigated further by examining matched tumor samples, and the functional impact of AXIN1 variants was analyzed in cultured cells. Twenty-two pathogenic/likely pathogenic (P/LP) germline variants detected in 13 CPGs were identified in 19 of 76 patients (25.0%). Unclear association with the diagnosed cancer types was observed in 11 of 19 patients carrying P/LP CPG variants. The burden of rare deleterious germline variants in autosomal dominant CPGs was significantly higher in study patients versus healthy aged controls. A novel AXIN1 frameshift variant (Ser321fs) may impact the regulation of β-catenin levels. Selection of childhood cancer patients for germline testing based on features suggestive of an underlying genetic predisposition could help to identify carriers of clinically relevant germline CPG variants, and streamline the integration of germline genomic testing in the pediatric oncology clinic.

Researchers and research participants increasingly support returning clinically actionable genetic research findings to participants, but researchers may lack the skills and resources to do so. In response, a genetic counsellor-led program to facilitate the return of clinically actionable findings to research participants was developed to fill the identified gap in research practice and meet Australian research guidelines. A steering committee of experts reviewed relevant published literature and liaised with researchers, research participants and clinicians to determine the scope of the program, as well as the structure, protocols and infrastructure. A program called My Research Results (MyRR) was developed, staffed by genetic counsellors with input from the steering committee, infrastructure services and a genomic advisory committee. MyRR is available to Human Research Ethics Committee approved studies Australia-wide and comprises genetic counselling services to notify research participants of clinically actionable research findings, support for researchers with developing an ethical strategy for managing research findings and an online information platform. The results notification strategy is an evidence-based two-step model, which has been successfully used in other Australian studies. MyRR is a translational program supporting researchers and research participants to access clinically actionable research findings.

While several resources exist that interpret therapeutic significance of genomic alterations in cancer, many regional real-world issues limit access to drugs. There is a need for a pragmatic, evidence-based, context-adapted tool to guide clinical management based on molecular biomarkers. To this end, we have structured a compendium of approved and experimental therapies with associated biomarkers following a survey of drug regulatory databases, existing knowledge bases, and published literature. Each biomarker-disease-therapy triplet was categorised using a tiering system reflective of key therapeutic considerations: approved and reimbursed therapies with respect to a jurisdiction (Tier 1), evidence of efficacy or approval in another jurisdiction (Tier 2), evidence of antitumour activity (Tier 3), and plausible biological rationale (Tier 4). Two resistance categories were defined: lack of efficacy (Tier R1) or antitumor activity (Tier R2). Based on this framework, we curated a digital resource focused on drugs relevant in the Australian healthcare system (TOPOGRAPH: Therapy Oriented Precision Oncology Guidelines for Recommending Anticancer Pharmaceuticals). As of November 2020, TOPOGRAPH comprised 2810 biomarker-disease-therapy triplets in 989 expert-appraised entries, including 373 therapies, 199 biomarkers, and 106 cancer types. In the 345 therapies catalogued, 84 (24%) and 65 (19%) were designated Tiers 1 and 2, respectively, while 271 (79%) therapies were supported by preclinical studies, early clinical trials, retrospective studies, or case series (Tiers 3 and 4). A companion algorithm was also developed to support rational, context-appropriate treatment selection informed by molecular biomarkers. This framework can be readily adapted to build similar resources in other jurisdictions to support therapeutic decision-making.

Fear of cancer recurrence/occurrence (FCR/O) is prevalent and associated with poorer psychological outcomes but can also motivate individuals to pursue genomic information about cancer risk. Guided by Protection Motivation Theory, this study investigated FCR/O prevalence and associated factors among probands previously diagnosed with a cancer of likely heritable origin, and their relatives, who had agreed to have germline genome sequencing. Three hundred and forty-eight probands and 167 relatives completed the Concerns about Recurrence Questionnaire (adapted for occurrence for some relatives) within 1 month of agreeing to undertake genome sequencing. Linear regressions investigated demographic, disease, attitude and behavioral associations with FCR/O. Probands demonstrated greater FCR compared to relatives. In probands, greater FCR was associated with being female, non-English speaking at home, less time since diagnosis, greater intention to change behavior if gene variant found, lower perceived ability to cope with results, higher perceived susceptibility to having a recurrence, and more negative attitudes towards uncertainty. For relatives with cancer, greater FCR was associated with being male, greater intention to change behavior if a gene variant found, and higher perceived susceptibility to recurrence. In relatives without cancer, greater FCO was associated with not having had genetic testing prior to this study, lower perceived ability to cope with results, and higher perceived susceptibility to developing cancer. Current findings on FCR/O prevalence and associated demographic and attitudinal variables in those who pursue genomic risk information might be used to target interventions that can prevent adverse psychological outcomes in vulnerable patients.

Purpose The introduction of comprehensive tumour genomic profiling (CGP) into clinical oncology allows the identification of molecular therapeutic targets. However, the potential complexity of genomic results and their implications may cause confusion and distress for patients undergoing CGP. We investigated the experience of advanced cancer patients receiving CGP results in a research setting. Methods Semi-structured interviews with 37 advanced cancer patients were conducted within two weeks of patients receiving CGP results. Interviewees were purposively sampled based on CGP result, cancer type, age and gender to ensure diversity. Themes were derived from interview transcripts using a framework analysis approach. Results We identified six themes: (1) hoping against the odds; (2) managing expectations; (3) understanding is cursory; (4) communication of results is cursory; (5) genomics and incurable cancer; and (6) decisions about treatment. Conclusion Despite enthusiasm regarding CGP about the hope it provides for new treatments, participants experienced challenges in understanding results, and acceptance of identified treatments was not automatic. Support is needed for patients undergoing CGP to understand the implications of testing and cope with non-actionable results.

Comprehensive tumor genomic profiling (CGP) offers hope for personalized treatment for cancer patients when other treatment options have been exhausted. However, receipt of nonactionable or ambiguous results could be an ongoing source of distress. We investigated patterns of hope, anxiety, depression, and CGP-specific anxiety in advanced cancer patients after receiving CGP results and 2-3 months later.Participants were enrolled in a longitudinal psychosocial substudy, embedded in the Molecular Screening and Therapeutics Program, and had advanced solid cancers of any histological type with sufficient and accessible tissue for CGP. At T0 (before receiving CGP results), 1,431 participants completed sociodemographic, disease and psychosocial measures. At T1 (1-4 weeks after receiving CGP results) and T2 (2-3 months post-T1), 374 participants completed psychological outcome measures. Predictors of outcomes at T2 were identified using multinomial logistic regression.Approximately 75% of participants did not experience significant hopelessness or distress at T1 and T2. Hope decreased by T2, yet general anxiety and CGP-specific anxiety also decreased. Receiving actionable results did not impact psychological outcomes at T2. At T2, lower hope, and higher anxiety, depression and CGP-specific anxiety were associated with lower self-efficacy. Psychological and demographic factors (age, socioeconomic status, language, medical occupation, urban living, family history of cancer) independently predicted one or more psychological trajectories. Worse health status and perceived susceptibility to cancer progression predicted hope and anxiety trajectories.Further research on interventions to best support patients undergoing CGP with high anxiety, hopelessness, fear of cancer progression, and poorer health is urgently needed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

BackgroundAlthough considerable effort has been put into decoding of the osteosarcoma genome, very little is known about germline mutations that underlie this primary malignant tumour of bone.Methods and resultsWe followed here a coincidental finding in a multiple endocrine neoplasia family in which a 32-year-old patient carrying a germline pathogenic RET mutation developed an osteosarcoma 2 years after the resection of a medullary thyroid carcinoma. Sequencing analysis of additional 336 patients with osteosarcoma led to the identification of germline activating mutations in the RET proto-oncogene in three cases and somatic amplifications of the gene locus in five matched tumours (4%, n=5/124 tumours). Functional analysis of the pathogenic variants together with an integrative analysis of osteosarcoma genomes confirmed that the mutant RET proteins couple functional kinase activity to dysfunctional ligand binding. RET mutations further co-operated with alterations in TP53 and RB1, suggesting that osteosarcoma pathogenesis bears reminiscence to the stepwise model of medullary thyroid carcinoma.ConclusionsAfter Li-Fraumeni-predisposing mutations in TP53, RET becomes the second most mutated cancer-predisposing gene in the germline of patients with osteosarcoma. Hence, early identification of RET mutation carriers can help to identify at-risk family members and carry out preventive measures.

Li-Fraumeni syndrome (LFS) is a rare hereditary cancer syndrome associated with an autosomal-dominant mutation inheritance in the TP53 tumor suppressor gene and a wide spectrum of cancer diagnoses. The previously developed R package, LFSPRO, is capable of estimating the risk of an individual being a TP53 mutation carrier. However, an accurate estimation of the penetrance of different cancer types in LFS is crucial to improve the clinical characterization and management of high-risk individuals. Here, we developed a competing risk-based statistical model that incorporates the pedigree structure efficiently into the penetrance estimation and corrects for ascertainment bias while also increasing the effective sample size of this rare population. This enabled successful estimation of TP53 penetrance for three LFS cancer types: breast (BR), sarcoma (SA), and others (OT), from 186 pediatric sarcoma families collected at MD Anderson Cancer Center (Houston, TX). Penetrance validation was performed on a combined dataset of two clinically ascertained family cohorts with cancer to overcome internal bias in each (total number of families = 668). The age-dependent onset probability distributions of specific cancer types were different. For breast cancer, the TP53 penetrance went up at an earlier age than the reported BRCA1/2 penetrance. The prediction performance of the penetrance estimates was validated by the combined independent cohorts (BR = 85, SA = 540, and OT = 158). Area under the ROC curves (AUC) were 0.92 (BR), 0.75 (SA), and 0.81 (OT). The new penetrance estimates have been incorporated into the current LFSPRO R package to provide risk estimates for the diagnosis of breast cancer, sarcoma, or other cancers. Significance: These findings provide specific penetrance estimates for LFS-associated cancers, which will likely impact the management of families at high risk of LFS. See related article by Shin et al., p. 347

MotivationVariant analysis is a core task in bioinformatics that requires integrating data from many sources. This process can be helped by using 3D structures of proteins, which can provide a spatial context that can provide insight into how variants affect function. Many available tools can help with mapping variants onto structures; but each has specific restrictions, with the result that many researchers fail to benefit from valuable insights that could be gained from structural data.ResultsTo address this, we have created a streamlined system for incorporating 3D structures into variant analysis. Variants can be easily specified via URLs that are easily readable and writable, and use the notation recommended by the Human Genome Variation Society (HGVS). For example, ‘https://aquaria.app/SARS-CoV-2/S/?N501Y’ specifies the N501Y variant of SARS-CoV-2 S protein. In addition to mapping variants onto structures, our system provides summary information from multiple external resources, including COSMIC, CATH-FunVar, and PredictProtein. Furthermore, our system identifies and summarizes structures containing the variant, as well as the variant-position. Our system supports essentially any mutation for any well-studied protein, and uses all available structural data — including models inferred via very remote homology — integrated into a system that is fast and simple to use. By giving researchers easy, streamlined access to a wealth of structural information during variant analysis, our system will help in revealing novel insights into the molecular mechanisms underlying protein function in health and disease.AvailabilityOur resource is freely available at the project home page (https://aquaria.app). After peer review, the code will be openly available via a GPL version 2 license at https://github.com/ODonoghueLab/Aquaria. PSSH2, the database of sequence-to-structure alignments, is also freely available for download at https://zenodo.org/record/4279164.Contactsean@odonoghuelab.orgSupplementary informationNone.

Purpose: Comprehensive genomic profiling (CGP) is increasingly used to guide cancer therapy. This study aimed to characterise oncologists’ experiences and needs when utilising genomic results. Materials and Methods: An electronic survey distributed nation-wide to practising medical oncologists in Australia explored oncologists’ experiences with consenting, interpreting and communicating CGP results to patients. Results: The survey was completed by 108 of 333 oncologists (32%) and most respondents (n = 97, 90%) had referred patients for CGP. Using a 100-point visual analogue scale score [VAS], where higher values indicate greater confidence, most oncologists were confident consenting patients for referral [median 75 (Interquartile range, IQR: 53–85), discussing CGP results (median VAS: 70, IQR: 51–80), but significantly less confident discussing secondary germline findings (median VAS: 56, IQR 30–70, p < 0.001). Confidence with pursuing therapies based on CGP results increased with clinical experience (mean VAS increases by 4.8 per 5 years of experience, p < 0.001). Most oncologists (N = 68, 63%) reported wanting assistance with interpretation of CGP and patient-centric resources to aid communication with patients. Conclusions: Oncologists are integrating genomics into clinical care, but only display moderate confidence in communication and changing management accordingly. The development of patient- and clinician- targeted resources may assist with routine utilisation of CGP results in cancer care.

Polygenic risk scores (PRS) are personalized assessments of disease risk based on the cumulative effect of common low-risk genetic variants. PRS have been shown to accurately predict women's breast cancer risk and are likely to be incorporated into personalized breast cancer risk management programs. However, there are few studies investigating the individual impact of receiving a breast cancer PRS. Existing studies have not demonstrated significant changes in perceived risk or risk management behaviors after receipt of polygenic risk information. The aim of this qualitative study was to explore how women with a family history of breast cancer construct breast cancer risk perceptions after receipt of a breast cancer PRS. Unaffected women with a family history of breast cancer who had not previously received genetic counseling regarding their breast cancer risk were invited to participate in this study. In-depth, semi-structured interviews were conducted with 20 women who attended a familial cancer clinic in the Australian states of Victoria and Tasmania. Data were analyzed using an inductive thematic approach. Women's lived experience played a significant role in the construction and maintenance of their breast cancer risk perception. Women's pre-existing risk perceptions were informed by their family history and their knowledge that breast cancer is a multifactorial disease. Knowing that breast cancer is a multifactorial disease enabled most women to integrate genetic information with their pre-existing notions of risk. Women reported that the information they received was consistent with their existing notions of personal risk and screening advice. Therefore, the PRS did not lead to a change in perceived risk or risk management behaviors for most women. The results of this study provide insight into how polygenic risk information is integrated with pre-existing notions of risk, which will inform its implementation into clinical practice.

Introduction: Fear of cancer progression (FCP) impacts quality of life and is a prevalent unmet need in patients diagnosed with advanced cancer, particularly as treatment options are reduced. We aimed to identify longitudinal patterns in FCP over 6 months in patients with advanced cancer receiving comprehensive tumour genomic profiling (CTGP) results, and their correlates. Methods: Patients with pathologically confirmed metastatic disease (∼70% rare cancers) receiving or post their last line of standard therapy completed questionnaires at T0 (prior to CTGP), T1 (immediately post CTGP results) and T2 (2 months later). Results: High stable (N = 52; 7.3%) and low/moderate stable (N = 56; 7.8%) FCP patterns over time typified the largest participant groups (N = 721). Those with an immediately actionable variant versus a non-actionable variant (p = 0.045), with higher FCP (p

Genomic Sequencing (GS) to identify high cancer risk will soon enter clinical practice at significant cost to the health system. This study aimed to quantify perceived value of GS to Australian cancer patients and their first-degree relatives participating in a genomic sequencing study, and factors associated with value. Participants were recruited upon consent to the genomics study. Eligible participants (with cancer of likely genetic etiology, or a first-degree relative) completed a questionnaire prior to GS. Willingness to pay was assessed via hypothetical trade-off scenarios of actionable result return rates of 1%, 10%, 20%, 30%, 40% or 50%. Of 348 probands and 213 relatives (92% and 93% response rate), 81% would consistently have GS for as little as a 1% actionable return rate. Participants would pay a median of $1,000 for return rates of at least 20% (probands) or 30% (relatives), and $300 for lower return rates. Probands with common cancers and negative attitudes to uncertainty were more likely to have GS; those with higher education were more willing to pay $1,000 and $3,000 for lower return rates. This study found high interest in, but lower willingness to pay for GS in cancer patients and their first-degree relatives, possibly due to inability to pay. Further research is needed to improve our understanding of how individuals in different risk circumstances, trade-off the risks, harms, and benefits of GS.

Objective To understand advanced cancer patients’ experience of uncertainty when receiving comprehensive tumor genomic profiling (CTGP) results, and their perceptions of how healthcare provider (HCP) communication impacts uncertainty. Methods Thirty-seven semi-structured interviews with advanced cancer patients were conducted within two weeks of patients receiving CTGP results. Transcripts were thematically analyzed, using an inductive approach. Results We identified three themes that illustrate patient experience of uncertainties when receiving CTGP results: 1. Type and degree of uncertainty fluctuates along with changing illness circumstances and the nature of the CTGP results; 2. HCPs’ co-ordination of care and communication shapes uncertainty, with immediate, clearer and simpler information promoting certainty; and 3. Patients felt that communicating results to reduce relatives’ uncertainty is important, with patients choosing the time and process for achieving this and desiring HCPs support. Conclusion Oncology patients are confronted with an array of uncertainties. Clear, simple communication from HCPs about results and their implications, and support to manage uncertainty, will be of benefit. Practice implications If CTGP is to become routine clinical practice, clear communication will be crucial in reducing uncertainty. Awareness of potential uncertainties experienced by patients when receiving results, will assist HCPs to address uncertainties, reduce uncertainty where possible, and offer targeted support to patients struggling with uncertainty.

BACKGROUND: The D-type cyclin and cyclin dependent kinase 4/6 (CDK) complex phosphorylates retinoblastoma protein, thereby driving cell cycle progression. This process is blocked by inhibitors of CDK4/6. As part of the Molecular Screening and Therapeutics program, this phase IIa trial tested the clinical activity of CDK4/6 inhibitor monotherapy in tumors with cell cycle pathway alterations.PATIENTS AND METHODS: Eligible patients ≥ 18 years old, with advanced or metastatic solid cancers, along with amplification of CDK4/6, CCND1/2/3, or loss of function alterations in CDKN2A were recruited. The primary objective of this signal-seeking trial was to evaluate the clinical activity of palbociclib – a composite of objective responses and the ratio of time to progression (TTP) on palbociclib, to TTP on treatment preceding trial entry.RESULTS: Ten patients had CDK4/CDK6 or Cyclin D1 amplifications, six patients had CDKN2A deletions. After a median follow-up of 35 months, there were no objective responses. Seven patients had stable disease and one had non-complete response/non-progressive disease (non-CR/non-PD) based on evaluation of a non-target lesion. Two of these seven patients maintained stable disease for at least 6 months, as did the patient with non-CR/non-PD. Median PFS and OS were 3.5 and 11.0 months respectively. No unexpected toxicities were observed. Translational correlates yielded strategies for targeting cell cycle interactions with other molecular pathways and the immune system.CONCLUSION: Palbociclib monotherapy was not associated with any objective responses, but stable disease lasting at least 6 months was observed in 19% of patients. There was no clear relationship with alteration type or histotype. The signals of immune activation provide insights into the design of future trials, with a combination approach adding checkpoint blockade to CDK4/6 inhibition.

BACKGROUNDWhile several key resources exist that interpret therapeutic significance of genomic alterations in cancer, many regional real-world issues limit access to drugs. There is a need for a pragmatic, evidence-based, context-adapted tool to guide clinical management based on molecular biomarkers.METHODSA compendium of approved and experimental therapies with associated biomarkers was built following a survey of drug regulatory databases, existing knowledge bases, and published literature. Each biomarker-disease-therapy triplet was then categorized using a tiering system reflective of key therapeutic considerations: approved and reimbursed standard-of-care therapies with respect to a jurisdiction (Tier 1), evidence of efficacy or approval in another jurisdiction (Tier 2), evidence of antitumour activity (Tier 3), and plausible biological rationale (Tier 4). Two resistance categories were defined: lack of efficacy (Tier R1), and lack of antitumor activity (Tier R2).RESULTSFollowing comprehensive literature review and appraisal, we developed a curated knowledge base focused on drugs relevant and accessible in the Australian healthcare system (TOPOGRAPH: Therapy Oriented Precision Oncology Guidelines for Recommending Anticancer Pharmaceuticals). As of November 2020, TOPOGRAPH comprised 2810 biomarker-disease-therapy triplets in 989 expert-appraised entries, including 373 therapies, 199 predictive biomarkers, and 106 cancer types. In the 345 biomarker-linked therapies catalogued, 84 (24%) and 65 (19%) therapies in contexts of different cancer types have Tier 1 and 2 designations respectively, while 271 (79%) therapies were supported by preclinical studies, early clinical trials, retrospective studies, or case series (Tiers 3 and 4). A total of 119 of 373 (33%) therapies associated with biomarkers of resistance were also catalogued. A clinical algorithm was also developed to support therapeutic decision-making using predictive biomarkers. This resource is accessible online at https://topograph.info/.CONCLUSIONTOPOGRAPH is intended to support oncologists with context-appropriate clinical decision-making– optimising selection and accessibility of the most appropriate targeted therapy for any given genomic biomarker. Our approach can be readily adapted to build jurisdiction-specific resources to standardise decision-making in precision oncology.

Fear of cancer recurrence/occurrence (FCR/O) is prevalent and associated with poorer psychological outcomes but can also motivate individuals to pursue genomic information about cancer risk. Guided by Protection Motivation Theory, this study investigated FCR/O prevalence and associated factors among probands previously diagnosed with a cancer of likely heritable origin, and their relatives, who had agreed to have germline genome sequencing.Three hundred and forty-eight probands and 167 relatives completed the Concerns about Recurrence Questionnaire (adapted for occurrence for some relatives) within 1 month of agreeing to undertake genome sequencing. Linear regressions investigated demographic, disease, attitude and behavioral associations with FCR/O.Probands demonstrated greater FCR compared to relatives. In probands, greater FCR was associated with being female, non-English speaking at home, less time since diagnosis, greater intention to change behavior if gene variant found, lower perceived ability to cope with results, higher perceived susceptibility to having a recurrence, and more negative attitudes towards uncertainty. For relatives with cancer, greater FCR was associated with being male, greater intention to change behavior if a gene variant found, and higher perceived susceptibility to recurrence. In relatives without cancer, greater FCO was associated with not having had genetic testing prior to this study, lower perceived ability to cope with results, and higher perceived susceptibility to developing cancer.Current findings on FCR/O prevalence and associated demographic and attitudinal variables in those who pursue genomic risk information might be used to target interventions that can prevent adverse psychological outcomes in vulnerable patients.

Germline genome sequencing (GS) holds great promise for cancer prevention by identifying cancer risk and guiding prevention strategies, however research evidence is mixed regarding patient preferences for receiving GS results. The aim of this study was to discern preferences for return of results by cancer patients who have actually undergone GS. We conducted a mixed methods study with a cohort of cancer probands (n = 335) and their genetic relatives (n = 199) undergoing GS in a research setting. Both groups completed surveys when giving consent. A subset of participants (n = 40) completed semi-structured interviews. A significantly higher percentage of probands thought people would like to be informed about genetic conditions for which there is prevention or treatment that can change cancer risk compared to conditions for which there is no prevention or treatment (93% [311] versus 65% [216]; p p

OBJECTIVES: Germline genome sequencing (GS) is becoming mainstream in cancer diagnosis and risk management. Identifying knowledge gaps and determinants of health behavior change intentions will enable effective targeting of educational and management strategies to translate genomic findings into improved cancer outcomes. METHODS: Probands diagnosed with cancer of likely genetic origin that consented to but not yet undergone GS, and their biological relatives, completed a cross-sectional questionnaire assessing GS knowledge and hypothetical intention to change behaviors. RESULTS: Probands (n = 348; 57% university educated) and relatives (n = 213; 38% university educated) had moderate GS knowledge levels, with greater knowledge associated with higher education. Both populations reported high behavioral change intentions, significantly associated with being female (p = 0.01) and greater perceived importance of GS (p

Cancer is a genetic disease. To date, translational cancer genomics has focused largely on somatic alterations, driven by the desire to identify targets for personalized therapy. However, therapeutically relevant information is also latent within the germline genome. In addition to cancer susceptibility, alterations present in the germ line can determine responses to both targeted and more traditional anticancer therapies, as well as their toxicities. Despite the importance of these alterations, many algorithms designed to analyse somatic mutations conversely continue to subtract information on germline genetics during analysis. In the light of low actionable yields from somatic tumour testing, a need exists for diversification of the sources of potential therapeutic biomarkers. In this Review, we summarize the literature on the therapeutic potential of alterations in the germline genome. The therapeutic value of germline information will not only be manifest as improvements in treatment but will also drive greater levels of engagement and cooperation between traditional oncology services and familial risk management clinics. The majority of genetically targeted approaches to cancer therapy focus on somatic mutations. However, evidence is accumulating in support of a role for germline genetic alterations in determining responsiveness to treatment. In this Review, the authors summarize the therapeutic potential of knowledge of the germline genome in patients with cancer.

This study assessed the psychological predictors of attitudes toward the return of germline genomic sequencing results in cancer patients and their biological relatives with a likely genetic basis for their cancer diagnosis, who completed a questionnaire prior to undergoing genomic sequencing. Of 602 probands and relatives, 94% of probands and 89% of relatives thought people would like to be informed about single-gene conditions for which there is prevention or treatment. Amongst relatives, this view was associated with higher perceived susceptibility and self-efficacy. Probands (66%) and relatives (59%) thought people would be interested in learning about single-gene conditions for which there is no prevention or treatment. Amongst probands, this view was associated with lower tolerance of uncertainty and amongst relatives with higher self-efficacy. Probands (92%) and relatives (90%) thought people would like to be informed about polygenic conditions that can have a major impact on health. Amongst probands this view was associated with lower perceived susceptibility of cancer recurrence, and amongst relatives, with higher perceived susceptibility and self-efficacy. Probands (86%) and relatives (86%) thought that people would like to be informed about polygenic conditions that can have a lower impact on health, and this view was associated with a lower perceived susceptibility of recurrence amongst probands. In conclusion, these findings show that individuals' attitudes about the return of results depend on the perceived utility of different types of tests. Therefore, individuals need to gain a clear understanding of test utility, and appropriate consent processes are required to achieve informed choices.

11546 Background: Glycosylation is one of the most ubiquitous and functionally important forms of post-translational modification. The role of differential glycosylation in serum proteins has so far been limited by the technical complexity inherent in generating and interpreting this information. InterVenn has built a novel platform that combines liquid chromatography/mass spectrometry with a proprietary artificial-intelligence-based data processing engine, allowing for highly scalable and reproducible interrogation of glycoproteins with site- and glycan-specificity. Methods: Using this platform, we interrogated 519 glycopeptide (GP) biomarkers derived from 70 serum proteins in pre-treatment samples from a cohort of 103 individuals (56 females, 47 males, age ranging from 18 to 84 years) presenting with one of 20 solid cancer types. All patients were treated with durvalumab and tremelimumab immune checkpoint inhibitor (ICI) therapy. Median follow-up for overall survival (OS) was 11.4 months, with 70 events total observed. OS associations were assessed for individual GPs via Cox regression models and leave-one-out-cross-validation (LOOCV) was employed to generate penalized multivariable prediction scores. Notably, 43 patients had a primary diagnosis of bone and soft tissue sarcoma, and stratified analyses were carried out in this population. Results: We identified 154 biomarkers significantly associated with OS in the full dataset after adjusting for multiple comparisons (FDR < 0.05). Of these, 7 were statistically significant at p < 0.01 in the sarcoma-only subset. LOOCV models built in all cancer types resulted in held-out scores that discriminated those likely to exhibit long-term survival post-ICI therapy from those unlikely to benefit (HR = 4.0, p = 4.91E-08, with 4 GPs included in the final model). Furthermore, LOOCV models including only sarcoma patients demonstrated even stronger predictive attributes (HR = 8.22, p = 2.10E-05, employing 2 glycopeptides). All 9 sarcoma patients with extreme glycosylation signatures for prediction of poor survival displayed quick clinical progression with little benefit from ICI therapy. Relative signal strength and comparative analyses demonstrated strong histotype-specificity inherent in the biomarkers employed for sarcoma vs all cancers. Conclusions: Our results indicate that glycoproteomic liquid biopsy holds potential as a predictive biomarker for identifying sarcoma patients who will derive the greatest benefit from ICI therapy.

Germline genomic testing is increasingly used in research to identify genetic causes of disease, including cancer. However, there is evidence that individuals who are notified of clinically actionable research findings have difficulty making informed decisions regarding uptake of genetic counseling for these findings. This study aimed to produce and pilot test a decision aid to assist participants in genomic research studies who are notified of clinically actionable research findings to make informed choices regarding uptake of genetic counseling. Development was guided by published literature, the International Patient Decision Aid Standards, and the expertise of a steering committee of clinicians, researchers, and consumers. Decision aid acceptability was assessed by self-report questionnaire. All 19 participants stated that the decision aid was easy to read, clearly presented, increased their understanding of the implications of taking up research findings, and would be helpful in decision-making. While low to moderate levels of distress/worry were reported after reading the booklet, a majority of participants also reported feeling reassured. All participants would recommend the booklet to others considering uptake of clinically actionable research findings. Results indicate the decision aid is acceptable to the target audience, with potential as a useful decision support tool for genomic research participants.

Survival rates for osteosarcoma, the most common primary bone cancer, have changed little over the past three decades and are particularly low for patients with metastatic disease. We conducted a multi-institutional genome-wide association study (GWAS) to identify germline genetic variants associated with overall survival in 632 patients with osteosarcoma, including 523 patients of European ancestry and 109 from Brazil. We conducted a time-to-event analysis and estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards models, with and without adjustment for metastatic disease. The results were combined across the European and Brazilian case sets using a random-effects meta-analysis. The strongest association after meta-analysis was for rs3765555 at 9p24.1, which was inversely associated with overall survival (HR = 1.76; 95% CI 1.41-2.18, p = 4.84 × 10-7 ). After imputation across this region, the combined analysis identified two SNPs that reached genome-wide significance. The strongest single association was with rs55933544 (HR = 1.9; 95% CI 1.5-2.4; p = 1.3 × 10-8 ), which localizes to the GLDC gene, adjacent to the IL33 gene and was consistent across both the European and Brazilian case sets. Using publicly available data, the risk allele was associated with lower expression of IL33 and low expression of IL33 was associated with poor survival in an independent set of patients with osteosarcoma. In conclusion, we have identified the GLDC/IL33 locus on chromosome 9p24.1 as associated with overall survival in patients with osteosarcoma. Further studies are needed to confirm this association and shed light on the biological underpinnings of this susceptibility locus.

IMPORTANCE: Osteosarcoma, the most common malignant bone tumor in children and adolescents, occurs in a high number of cancer predisposition syndromes that are defined by highly penetrant germline mutations. The germline genetic susceptibility to osteosarcoma outside of familial cancer syndromes remains unclear. OBJECTIVE: To investigate the germline genetic architecture of 1244 patients with osteosarcoma. DESIGN, SETTING, AND PARTICIPANTS: Whole-exome sequencing (n = 1104) or targeted sequencing (n = 140) of the DNA of 1244 patients with osteosarcoma from 10 participating international centers or studies was conducted from April 21, 2014, to September 1, 2017. The results were compared with the DNA of 1062 individuals without cancer assembled internally from 4 participating studies who underwent comparable whole-exome sequencing and 27 173 individuals of non-Finnish European ancestry who were identified through the Exome Aggregation Consortium (ExAC) database. In the analysis, 238 high-interest cancer-susceptibility genes were assessed followed by testing of the mutational burden across 736 additional candidate genes. Principal component analyses were used to identify 732 European patients with osteosarcoma and 994 European individuals without cancer, with outliers removed for patient-control group comparisons. Patients were subsequently compared with individuals in the ExAC group. All data were analyzed from June 1, 2017, to July 1, 2019. MAIN OUTCOMES AND MEASURES: The frequency of rare pathogenic or likely pathogenic genetic variants. RESULTS: Among 1244 patients with osteosarcoma (mean [SD] age at diagnosis, 16 [8.9] years [range, 2-80 years]; 684 patients [55.0%] were male), an analysis restricted to individuals with European ancestry indicated a significantly higher pathogenic or likely pathogenic variant burden in 238 high-interest cancer-susceptibility genes among patients with osteosarcoma compared with the control group (732 vs 994, respectively; P = 1.3 × 10(−18)). A pathogenic or likely pathogenic cancer-susceptibility gene variant was identified in 281 of 1004 patients with osteosarcoma (28.0%), of which nearly three-quarters had a variant that mapped to an autosomal-dominant gene or a known osteosarcoma-associated cancer predisposition syndrome gene. The frequency of a pathogenic or likely pathogenic cancer-susceptibility gene variant was 128 of 1062 individuals (12.1%) in the control group and 2527 of 27 173 individuals (9.3%) in the ExAC group. A higher than expected frequency of pathogenic or likely pathogenic variants was observed in genes not previously linked to osteosarcoma (eg, CDKN2A, MEN1, VHL, POT1, APC, MSH2, and ATRX) and in the Li-Fraumeni syndrome-associated gene, TP53. CONCLUSIONS AND RELEVANCE: In this study, approximately one-fourth of patients with osteosarcoma unselected for family history had a highly penetrant germline mutation requiring additional follow-up analysis and possible genetic counseling with cascade testing.