Distress in hospitalized cancer patients: Associations with personality traits, clinical and psychosocial characteristics.

OBJECTIVE: To improve allocation of psychosocial care and to provide patient-oriented support offers, identification of determinants of elevated distress is needed. So far, there is a lack of evidence investigating the interplay between individual disposition and current clinical and psychosocial determinants of distress in the inpatient setting. METHODS: In this cross-sectional study, we investigated 879 inpatients with different cancer sites treated in a German Comprehensive Cancer Center. Assessment of determinants of elevated distress included sociodemographic, clinical and psychosocial characteristics as well as dimensions of personality. Multiple linear regression was applied to identify determinants of psychosocial distress. RESULTS: Mean age of the patients was M = 61.9 (SD = 11.8), 48.1% were women. In the multiple linear regression model younger age (ß = -0.061, p = 0.033), higher neuroticism (ß = 0.178, p = <0.001), having metastases (ß = 0.091, p = 0.002), being in a worse physical condition (ß = 0.380, p = <0.001), depressive symptoms (ß = 0.270, p = <0.001), not feeling well informed about psychological support (ß = 0.054, p = 0.046) and previous uptake of psychological treatment (ß = 0.067, p = 0.020) showed significant associations with higher psychosocial distress. The adjusted R2 of the overall model was 0.464. CONCLUSION: Controlling for sociodemographic characteristics and dispositional vulnerability, that is neuroticism, current clinical and psychosocial characteristics were still associated with hospitalized patients' psychosocial distress. Psycho-oncologists should address both, the more transient emotional responses, such as depressive symptoms, as well as more enduring patient characteristics, like neuroticism.

Factors associated with the decline of psychological support in hospitalized patients with cancer.

OBJECTIVE: Many distressed cancer patients do not want or, finally, do not use psychological support. This study aimed at identifying factors associated with the decline of psychological support during hospital stay. METHODS: This cross-sectional study included inpatients with different cancer diagnoses. Distress was assessed using the short form of the Questionnaire on Stress in Cancer Patients-Revised (QSC-R10) and the Distress Thermometer (DT). Multivariable logistic regression was used to identify factors associated with decline. RESULTS: Of 925 patients, 71.6% (n = 662) declined psychological support. Male sex (OR = 2.54, 95% CI = 1.69-3.80), low psychosocial distress (OR = 3.76, CI = 2.50-5.67), not feeling depressed (OR = 1.93, CI = 1.24-2.99), perceived overload (OR = 3.37, CI = 2.19-5.20), no previous psychological treatment (OR = 1.88, CI = 1.25-2.83), and feeling well informed about psychological support (OR = 1.66, CI = 1.11-2.46) were associated with decline. Among the patients who indicated clinical distress (46.2%), 53.9% declined psychological support. Male sex (OR = 2.96, CI = 1.71-5.12), not feeling depressed (OR = 1.87, CI = 1.12-3.14), perceived overload (OR = 5.37, CI = 3.07-9.37), agreeableness (OR = 0.70, CI = 0.51-0.95), and feeling well informed about psychological support (OR = 1.81, CI = 1.07-3.07) were uniquely associated with decline in this subgroup. CONCLUSIONS: Decline of psychological support is primarily due to psychological factors. Feeling well informed about support emerged as a relevant factor associated with decline. Thus, design of informational material and education about available psychological services seem crucial.

Neurofibromin specific antibody differentiates malignant peripheral nerve sheath tumors (MPNST) from other spindle cell neoplasms.

Malignant peripheral nerve sheath tumors (MPNST) derive from the Schwann cell or perineurial cell lineage and occur either sporadically or in association with the tumor syndrome neurofibromatosis type 1 (NF1). MPNST often pose a diagnostic challenge due to their frequent lack of pathognomonic morphological or immunohistochemical features. Mutations in the NF1 tumor suppressor gene are found in all NF1-associated and many sporadic MPNST. The presence of NF1 mutation may have the potential to differentiate MPNST from several morphologically similar neoplasms; however, mutation detection is hampered by the size of the gene and the lack of mutational hot spots. Here we describe a newly developed monoclonal antibody binding to the C-terminus of neurofibromin (clone NFC) which was selected for optimal performance in routinely processed formalin-fixed and paraffin-embedded tissue. NFC immunohistochemistry revealed loss of neurofibromin in 22/25 (88 %) of NF1-associated and 26/61 (43 %) of sporadic MPNST. There was a strong association of neurofibromin loss with deletions affecting the NF1 gene (P < 0.01). In a series of 256 soft tissue tumors of different histotypes NFC staining showed loss of neurofibromin in 2/8 myxofibrosarcomas, 2/12 (16 %) pleomorphic liposarcomas, 1/16 (6 %) leiomyosarcomas, and 4/28 (14 %) unclassified undifferentiated pleomorphic sarcomas. However, loss of neurofibromin was not observed in 22 synovial sarcomas, 27 schwannomas, 23 solitary fibrous tumors, 14 low-grade fibromyxoid sarcomas, 50 dedifferentiated liposarcomas, 27 myxoid liposarcomas, 13 angiosarcomas, 9 extraskeletal myxoid chondrosarcomas, and 7 epitheloid sarcomas. Immunohistochemistry using antibody NFC may substantially facilitate sarcoma research and diagnostics.

Assessment of BRAF V600E mutation status by immunohistochemistry with a mutation-specific monoclonal antibody.

Activating mutations of the serine threonine kinase v-RAF murine sarcoma viral oncogene homolog B1 (BRAF) are frequent in benign and malignant human tumors and are emerging as an important biomarker. Over 95% of BRAF mutations are of the V600E type and specific small molecular inhibitors are currently under pre-clinical or clinical investigation. BRAF mutation status is determined by DNA-based methods, most commonly by sequencing. Here we describe the development of a monoclonal BRAF V600E mutation-specific antibody that can differentiate BRAF V600E and wild type protein in routinely processed formalin-fixed and paraffin-embedded tissue. A total of 47 intracerebral melanoma metastases and 21 primary papillary thyroid carcinomas were evaluated by direct sequencing of BRAF and by immunohistochemistry using the BRAF V600E mutation-specific antibody clone VE1. Correlation of VE1 immunohistochemistry and BRAF sequencing revealed a perfect match for both papillary thyroid carcinomas and melanoma metastases. The staining intensity in BRAF V600E mutated tumor samples ranged from weak to strong. The generally homogenous VE1 staining patterns argue against a clonal heterogeneity of the tumors investigated. Caution is essential when only poorly preserved tissue is available for VE1 immunohistochemical analysis or when tissues with only little total BRAF protein are analyzed. Immunohistochemistry using antibody VE1 may substantially facilitate molecular analysis of BRAF V600E status for diagnostic, prognostic, and predictive purposes.

Characterization of R132H mutation-specific IDH1 antibody binding in brain tumors.

Heterozygous point mutations of isocitrate dehydrogenase (IDH)1 codon 132 are frequent in grade II and III gliomas. Recently, we reported an antibody specific for the IDH1R132H mutation. Here we investigate the capability of this antibody to differentiate wild type and mutated IDH1 protein in central nervous system (CNS) tumors by Western blot and immunohistochemistry. Results of protein analysis are correlated to sequencing data. In Western blot, anti-IDH1R132H mouse monoclonal antibody mIDH1R132H detected a specific band only in mutated tumors. Immunohistochemistry of 345 primary brain tumors demonstrated a strong cytoplasmic and weaker nuclear staining in 122 cases. Correlation with direct sequencing of 186 cases resulted in consensus of 177 cases. Genetic retesting of cases with conflicting findings resulted in a match of 186/186 cases, with all discrepancies resolving in favor of immunohistochemistry. Intriguing is the ability of mIDH1R132H to detect single infiltrating tumor cells. The very high frequency and the distribution of this mutation among specific brain tumor entities allow the highly sensitive and specific discrimination of various tumors by immunohistochemistry, such as anaplastic astrocytoma from primary glioblastoma or diffuse astrocytoma World Health Organization (WHO) grade II from pilocytic astrocytoma or ependymoma. Noteworthy is the discrimination of the infiltrating edge of tumors with IDH1 mutation from reactive gliosis.