Purpose

Discussions between oncologists and advanced cancer patients (ACPs) may touch on the complex issue of clinical trial participation. Numerous initiatives have sought to improve the quality of these potentially difficult conversations. However, we have limited data about what ACPs know about clinical research as they enter such discussions as, to date, such research has focused on the period following informed consent. This study examines ACPs' understanding of clinical research in the treatment period before consent.

Methods

We conducted in-depth interviews with adult ACPs with limited treatment options at four clinics in an academic medical center. So as not to influence patients' perspectives, interviewers probed patients' knowledge of clinical research only if the patient first brought up the topic. Interviews (40-60 min) were audio-recorded, transcribed, and analyzed thematically and via quantitative content analysis by an interdisciplinary team.

Results

Of 78 patients recruited, 56 (72%) spontaneously brought up the topic of clinical research during interview and are included in this analysis. Qualitative thematic analysis and quantitative content analysis revealed that patients' knowledge varied in terms of (1) accuracy and (2) specificity (level of detail). ACPs who spoke with high specificity were not always accurate, and ACPs with accurate knowledge included both high- and low-specificity speakers.

Conclusions

ACPs' knowledge of clinical research is variable. Patients who can discuss the technical details of their care may or may not understand the broader purpose and procedures of clinical trials. Understanding this variability is important for improving patient-provider communication about clinical research and supporting efforts to provide individualized care for ACPs.

Purpose

Patients with advanced cancer and oncologists deliberate about early-phase (EP) trials as they consider whether to pursue EP trial enrollment. We have limited information about those deliberations and how they may facilitate or impede trial initiation. This study describes these deliberations and their relationship to trial initiation.

Patients and methods

We collected longitudinal, ethnographic data on deliberations of patients with advanced cancer at two academic medical centers. We used constant comparative and framework analyses to characterize the deliberative process and its relationship to trial initiation.

Results

Of 96 patients with advanced cancer, 26% initiated EP enrollment and 19% joined a trial. Constant comparative analysis revealed two foci of deliberation. Setting the stage focused on patient and physician support for EP trial involvement, including patients' interest in research and oncologists' awareness of trials and assessment of patient fit. Securing a seat focused on eligibility for and entrance to a specific trial and involved trial availability, treatment history, disease progression, and enrollment timing. Patients enrolled in a trial only when both stages could be successfully navigated.

Conclusion

Ethnographic data revealed two foci of deliberation about EP trial enrollment among patients with advanced cancer. Physician support played a consequential role in both stages, but enrollment also reflected factors beyond the control of any specific individual. Insights from this study, combined with other recent studies of trial enrollment, advance our understanding of the complex process of EP trial accrual and may help identify strategies to improve rates of participation.

To determine whether inherited variations in immune function single-nucleotide polymorphisms (SNPs), genes or pathways affect glioblastoma risk, we analyzed data from recent genome-wide association studies in conjunction with predefined immune function genes and pathways. Gene and pathway analyses were conducted on two independent data sets using 6629 SNPs in 911 genes on 17 immune pathways from 525 glioblastoma cases and 602 controls from the University of California, San Francisco (UCSF) and a subset of 6029 SNPs in 893 genes from 531 cases and 1782 controls from MD Anderson (MDA). To further assess consistency of SNP-level associations, we also compared data from the UK (266 cases and 2482 controls) and the Mayo Clinic (114 cases and 111 controls). Although three correlated epidermal growth factor receptor (EGFR) SNPs were consistently associated with glioblastoma in all four data sets (Mantel-Haenzel P values = 1 × 10⁻⁵ to 4 × 10⁻³), independent replication is required as genome-wide significance was not attained. In gene-level analyses, eight immune function genes were significantly (minP < 0.05) associated with glioblastoma; the IL-2RA (CD25) cytokine gene had the smallest minP values in both UCSF (minP = 0.01) and MDA (minP = 0.001) data sets. The IL-2RA receptor is found on the surface of regulatory T cells potentially contributing to immunosuppression characteristic of the glioblastoma microenvironment. In pathway correlation analyses, cytokine signaling and adhesion-extravasation-migration pathways showed similar associations with glioblastoma risk in both MDA and UCSF data sets. Our findings represent the first systematic description of immune genes and pathways that characterize glioblastoma risk.

The risk of glioma has consistently been shown to be increased twofold in relatives of patients with primary brain tumors (PBT). A recent genome-wide linkage study of glioma families provided evidence for a disease locus on 17q12-21.32, with the possibility of four additional risk loci at 6p22.3, 12p13.33-12.1, 17q22-23.2, and 18q23. To identify the underlying genetic variants responsible for the linkage signals, we compared the genotype frequencies of 5,122 SNPs mapping to these five regions in 88 glioma cases with and 1,100 cases without a family history of PBT (discovery study). An additional series of 84 familial and 903 non-familial cases were used to replicate associations. In the discovery study, 12 SNPs showed significant associations with family history of PBT (P < 0.001). In the replication study, two of the 12 SNPs were confirmed: 12p13.33-12.1 PRMT8 rs17780102 (P = 0.031) and 17q12-21.32 SPOP rs650461 (P = 0.025). In the combined analysis of discovery and replication studies, the strongest associations were attained at four SNPs: 12p13.33-12.1 PRMT8 rs17780102 (P = 0.0001), SOX5 rs7305773 (P = 0.0001) and STKY1 rs2418087 (P = 0.0003), and 17q12-21.32 SPOP rs6504618 (P = 0.0006). Further, a significant gene-dosage effect was found for increased risk of family history of PBT with these four SNPs in the combined data set (P(trend) <1.0 × 10(-8)). The results support the linkage finding that some loci in the 12p13.33-12.1 and 17q12-q21.32 may contribute to gliomagenesis and suggest potential target genes underscoring linkage signals.

High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10(-9)) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10(-8)), with the alleles showing opposite effects on the risks of the two cancers.

We have observed hadronic final states produced in the decays of Z bosons. In order to study the parton structure of these events, we compare the distributions in sphericity, thurst, aplanarity, and number of jets to the predictions of several QCD-based models and to data from lower energies. The data and models agree within the present statistical precision. © 1989 The American Physical Society.

The Mark II detector has been upgraded in preparation for its role as the first detector to take data at the Stanford Linear Collider. The new detector components include the central drift chamber, the time-of-flight system, the coil, the endcap electromagnetic calorimeters and the beam energy and luminosity measuring devices. There have also been improvements in detector hermeticity. All of the major components were installed for a test run at the PEP storage ring (√s = 29 GeV) in 1985. This paper describes the upgraded detector, including its trigger and data acquisition systems, and gives performance figures for its components. Future improvements are also discussed. © 1989.

We have measured the mass of the Z boson to be 91.110.23 GeV/c2, and its width to be 1.61-0.43+0.60 GeV. If we constrain the visible width to its standard-model value, we find the partial width to invisible decay modes to be 0.620.23 GeV, corresponding to 3.81.4 neutrino species. © 1989 The American Physical Society.

The cross section of top quark-antiquark pair production in proton-proton collisions at [Formula: see text] is measured by the CMS experiment at the LHC, using data corresponding to an integrated luminosity of 2.2[Formula: see text]. The measurement is performed by analyzing events in which the final state includes one electron, one muon, and two or more jets, at least one of which is identified as originating from hadronization of a b quark. The measured cross section is [Formula: see text], in agreement with the expectation from the standard model.