In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
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Question: Context: To provide optimal treatment of heterogeneous triple negative breast cancer (TNBC), we need biomarkers that can predict the chemotherapy response.', 'We retrospectively investigated BRCAness in 73 patients with breast cancer who had been treated with taxane- and/or anthracycline-based neoadjuvant chemotherapy (NAC). Using multiplex, ligation-dependent probe amplification on formalin-fixed core needle biopsy (CNB) specimens before NAC and surgical specimens after NAC. BRCAness status was assessed with the assessor unaware of the clinical information.', 'We obtained 45 CNB and 60 surgical specimens from the 73\xa0patients. Of the 45 CNB specimens, 17 had BRCAness (38.6% of all subtypes). Of the 23 TNBC CNB specimens, 14\xa0had BRCAness (61% of TNBC cases). The clinical response rates were significantly lower for BRCAness than for non-BRCAness tumors, both for all tumors (58.8% vs. 89.3%, P\xa0= .03) and for TNBC (50% vs. 100%, P\xa0= .02). All tumors that progressed with taxane therapy had BRCAness. Of the patients with TNBC, those with non-BRCAness cancer had pathologic complete responses significantly more often than did those with BRCAness tumors (77.8%\xa0vs. 14.3%, P\xa0= .007). After NAC, the clinical response rates were significant lower for BRCAness than for non-BRCAness tumors in all subtypes (P\xa0= .002) and in TNBC cases (P\xa0= .008). After a median follow-up of 26.4 months, 6 patients-all with BRCAness-had developed recurrence. Patients with BRCAness had shorter progression-free survival than did those with non- BRCAness (P\xa0=\xa0.049).\Question: Does bRCAness predict resistance to taxane-containing regimens in triple negative breast cancer during neoadjuvant chemotherapy?

Answer: Identifying BRCAness can help predict the response to taxane, and changing regimens for BRCAness TNBC might improve patient survival. A larger prospective study is needed to further clarify this issue.


Question: Context: Sleep disturbances have been thought to augment pain. Sleep deprivation has been proven to produce hyperalgesic effects. It is still unclear whether these changes are truly specific to pain and not related to general changes in somatosensory functions. The aim of the present study was to evaluate the effect of total sleep deprivation on thermal pain thresholds (heat, cold) and pain complaints. Thermal detection thresholds (warmth, cold) were included as covariates to determine the contribution of somatosensory functions to changes in pain processing.', 'Twenty healthy volunteers were randomly assigned either to two nights of total sleep deprivation or to two nights of undisturbed night sleep. Sleep deprivation nights were separated by two days with normal night sleep. Heat and cold pain thresholds as well as warmth and cold detection thresholds were measured by use of a peltier thermode in the evening before and the morning after each deprivation or control night. Pain complaints were examined by use of a questionnaire in parallel.', 'During treatment nights, sleep deprivation produced a significant overnight decrease in heat pain thresholds. Cold pain thresholds tended to decrease also during sleep deprivation, whereas the warmth and cold detection thresholds remained unaffected. Accordingly, no substantial contributions of the changes in thermal detection thresholds to the changes in thermal pain thresholds were determined by regression analyses. Pain complaints were not induced by sleep deprivation.\Question: Does sleep deprivation affect thermal pain thresholds but not somatosensory thresholds in healthy volunteers?

Answer: The present findings suggest that sleep deprivation produces hyperalgesic changes that cannot be explained by nonspecific alterations in somatosensory functions.


Question: Context: The study's aim was to assess the internal reliability for the nine domains of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) to evaluate homogeneity across clinical studies and whether sample characteristics predict coefficient heterogeneity.", 'A systematic literature review was undertaken. Internal reliability was assessed against Cronbach α coefficient >0.70. Reliability generalization was undertaken using fixed- and random-effects models. A weighted least squares regression model was applied to determine whether baseline sample characteristics (language, percentage of women, sample size, sample means and standard deviations, and cancer type) predicted variation in α coefficients.', 'A total of 33 studies were identified. Eight domains demonstrated good internal reliability (unweighted/weighted by sample variance). One domain, Cognitive Functioning, consistently performed poorly. In terms of moderating variables, none of the sample characteristic variables explained sample variance for the Physical or Role Functioning domains. For the other domains, language, percentage of women, and sample means and variances accounted for some of the heterogeneity observed.\Question: Are most domains of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 reliable?

Answer:
Most domains on the EORTC QLQ-C30 are reliable and may therefore be used to help inform decision-making processes, such as those involving individual patients.