Marizomib for patients with newly diagnosed glioblastoma: a randomized phase 3 trial.

BACKGROUND: Standard treatment for patients with newly diagnosed glioblastoma includes surgery, radiotherapy (RT) and temozolomide (TMZ) chemotherapy (TMZ/RT→TMZ). The proteasome has long been considered a promising therapeutic target because of its role as a central biological hub in tumor cells. Marizomib is a novel pan-proteasome inhibitor that crosses the blood brain barrier. METHODS: EORTC 1709/CCTG CE.8 was a multicenter, randomized, controlled, open label phase 3 superiority trial. Key eligibility criteria included newly diagnosed glioblastoma, age > 18 years and Karnofsky performance status > 70. Patients were randomized in a 1:1 ratio. The primary objective was to compare overall survival (OS) in patients receiving marizomib in addition to TMZ/RT→TMZ with patients receiving only standard treatment in the whole population, and in the subgroup of patients with MGMT promoter-unmethylated tumors. RESULTS: The trial was opened at 82 institutions in Europe, Canada and the US. A total of 749 patients (99.9% of planned 750) were randomized. OS was not different between the standard and the marizomib arm (median 17 vs 16.5 months; HR=1.04; p=0.64). PFS was not statistically different either (median 6.0 vs. 6.3 months; HR=0.97; p=0.67). In patients with MGMT promoter-unmethylated tumors, OS was also not different between standard therapy and marizomib (median 14.5 vs 15.1 months, HR=1.13; p=0.27). More CTCAE grade 3/4 treatment-emergent adverse events were observed in the marizomib arm than in the standard arm. CONCLUSIONS: Adding marizomib to standard temozolomide-based radiochemotherapy resulted in more toxicity, but did not improve OS or PFS in patients with newly diagnosed glioblastoma.

A Rare Case of Non-Small Cell Lung Cancer Presenting as Exudative Retinal Detachment.

Teaching Point: Retinal detachment is a rare initial clinical manifestation of lung cancer with intraorbital metastases, early diagnosis on magnetic resonance imaging is important for therapeutic implications.

End-of-Life Care in the Last Three Months before Death in Older Patients with Cancer in Belgium: A Large Retrospective Cohort Study Using Data Linkage.

This study aims to describe end-of-life (EOL) care in older patients with cancer and investigate the association between geriatric assessment (GA) results and specialized palliative care (SPC) use. Older patients with a new cancer diagnosis (2009-2015) originally included in a previous multicentric study were selected if they died before the end of follow-up (2019). At the time of cancer diagnosis, patients underwent geriatric screening with Geriatric 8 (G8) followed by GA in case of a G8 score ≤14/17. These data were linked to the cancer registry and healthcare reimbursement data for follow-up. EOL care was assessed in the last three months before death, and associations were analyzed using logistic regression. A total of 3546 deceased older patients with cancer with a median age of 79 years at diagnosis were included. Breast, colon, and lung cancer were the most common diagnoses. In the last three months of life, 76.3% were hospitalized, 49.1% had an emergency department visit, and 43.5% received SPC. In total, 55.0% died in the hospital (38.5% in a non-palliative care unit and 16.4% in a palliative care unit). In multivariable analyses, functional and cognitive impairment at cancer diagnosis was associated with less SPC. Further research on optimizing EOL healthcare utilization and broadening access to SPC is needed.

Long-term health-care utilisation in older patients with cancer and the association with the Geriatric 8 screening tool: a retrospective analysis using linked clinical and population-based data in Belgium.

BACKGROUND: Little evidence is available on the long-term health-care utilisation of older patients with cancer and whether this is associated with geriatric screening results. We aimed to evaluate long-term health-care utilisation among older patients after cancer diagnosis and the association with baseline Geriatric 8 (G8) screening results. METHODS: For this retrospective analysis, we included data from three cohort studies for patients (aged ≥70 years) with a new cancer diagnosis who underwent G8 screening between Oct 19, 2009 and Feb 27, 2015, and who survived more than 3 months after G8 screening. The clinical data were linked to cancer registry and health-care reimbursement data for long-term follow-up. The occurrence of outcomes (inpatient hospital admissions, emergency department visits, use of intensive care, contacts with general practitioner [GP], contacts with a specialist, use of home care, and nursing home admissions) was assessed in the 3 years after G8 screening. We assessed the association between outcomes and baseline G8 score (normal score [>14] or abnormal [≤14]) using adjusted rate ratios (aRRs) calculated from Poisson regression and using cumulative incidence calculated as a time-to-event analysis with the Kaplan-Meier method. FINDINGS: 7556 patients had a new cancer diagnosis, of whom 6391 patients (median age 77 years [IQR 74-82]) met inclusion criteria and were included. 4110 (64·3%) of 6391 patients had an abnormal baseline G8 score (≤14 of 17 points). In the first 3 months after G8 screening, health-care utilisation peaked and then decreased over time, with the exception of GP contacts and home care days, which remained high throughout the 3-year follow-up period. Compared with patients with a normal baseline G8 score, patients with an abnormal baseline G8 score had more hospital admissions (aRR 1·20 [95% CI 1·15-1·25]; p<0·0001), hospital days (1·66 [1·64-1·68]; p<0·0001), emergency department visits (1·42 [1·34-1·52]; p<0·0001), intensive care days (1·49 [1·39-1·60]; p<0·0001), general practitioner contacts (1·19 [1·17-1·20]; p<0·0001), home care days (1·59 [1·58-1·60]; p<0·0001), and nursing home admissions (16·7% vs 3·1%; p<0·0001) in the 3-year follow-up period. At 3 years, of the 2281 patients with a normal baseline G8 score, 1421 (62·3%) continued to live at home independently and 503 (22·0%) had died. Of the 4110 patients with an abnormal baseline G8 score, 1057 (25·7%) continued to live at home independently and 2191 (53·3%) had died. INTERPRETATION: An abnormal G8 score at cancer diagnosis was associated with increased health-care utilisation in the subsequent 3 years among patients who survived longer than 3 months. FUNDING: Stand up to Cancer, the Flemish Cancer Society.

Linking clinical and population-based data in older patients with cancer in Belgium: Feasibility and clinical outcomes.

INTRODUCTION: Geriatric screening and geriatric assessment (GS/GA) have proven their benefits in the care for older patients with cancer. However, less is known about the predictive value of GS/GA for outcomes. To research this, clinical data on GS/GA can be enriched with population-based data. In this article we describe the methods and feasibility of data linkage, and first clinical outcomes (GS/GA results and overall survival). MATERIALS AND METHODS: A large cohort study consisting of patients aged ≥70 years with a new cancer diagnosis was established using linked data from clinical and population-based databases. Clinical data were derived from a previous prospective study where older patients with cancer were screened with G8, followed by GA in case of an abnormal result (GS/GA study; 2009-2015). These data were linked to cancer registration data from the Belgian Cancer Registry (BCR), reimbursement data of the health insurance companies (InterMutualistic Agency, IMA), and hospital discharge data (Technical Cell, TCT). Cox regression analyses were conducted to evaluate the prognostic value of the G8 geriatric screening tool. RESULTS: Of the 8067 eligible patients with a new cancer diagnosis, linkage of data from the GS/GA study and data from the BCR was successful for 93.7%, resulting in a cohort of 7556 patients available for the current analysis. Further linkage with the IMA and TCT database resulted in a cohort of 7314 patients (96.8%). Based on G8 geriatric screening, 67.9% of the patients had a geriatric risk profile. Malnutrition and functional dependence were the most common GA-identified risk factors. An abnormal baseline G8 score (≤14/17) was associated with lower overall survival (adjusted HR [aHR] = 1.62 [1.50-1.75], p < 0.001). DISCUSSION: Linking clinical and population-based databases for older patients with cancer has shown to be feasible. The GS/GA results at cancer diagnosis demonstrate the vulnerability of this population and the G8 score showed prognostic value for overall survival. The established cohort of almost 8000 patients with long-term follow-up will serve as a basis in the future for detailed analyses on long-term outcomes beyond survival.

Incidence of falls and fall-related injuries and their predictive factors in frail older persons with cancer: a multicenter study.

BACKGROUND: Falls and fall-related injuries are a major public health problem. Data on falls in older persons with cancer is limited and robust data on falls within those with a frailty profile are missing. The aim of this study is to investigate the incidence and predictive factors for falls and fall-related injuries in frail older persons with cancer. METHODS: This study is a secondary data analysis from data previously collected in a large prospective multicenter observational cohort study in older persons with cancer in 22 Belgian hospitals (November 2012-February 2015). Patients ≥70 years with a malignant tumor and a frailty profile based on an abnormal G8 score were included upon treatment decision and evaluated with a Geriatric Assessment (GA). At follow-up, data on falls and fall-related injuries were documented. RESULTS: At baseline 2141 (37.2%) of 5759 included patients reported at least one fall in the past 12 months, 1427 patients (66.7%) sustained an injury. Fall-related data of 3681 patients were available at follow-up and at least one fall was reported by 769 patients (20.9%) at follow-up, of whom 289 (37.6%) fell more than once and a fall-related injury was reported by 484 patients (62.9%). Fear of falling was reported in 47.4% of the patients at baseline and in 55.6% of the patients at follow-up. In multivariable analysis, sex and falls history in the past 12 months were predictive factors for both falls and fall-related injuries at follow-up. Other predictive factors for falls, were risk for depression, cognitive impairment, dependency in activities of daily living, fear of falling, and use of professional home care. CONCLUSION: Given the high number of falls and fall-related injuries and high prevalence of fear of falling, multifactorial falls risk assessment and management programs should be integrated in the care of frail older persons with cancer. Further studies with long-term follow-up, subsequent impact on cancer treatment and interventions for fall prevention, and integration of other important topics like medication and circumstances of a fall, are warranted. TRIAL REGISTRATION: B322201215495.

Functional status in older patients with cancer and a frailty risk profile: A multicenter observational study.

INTRODUCTION: Functional status (FS) and frailty are significant concerns for older adults, especially those with cancer. Data on FS (Activities of Daily Living [ADL]; Instrumental Activities of Daily Living [IADL]) and its evolution during cancer treatment in older patients and a frailty risk profile are scarce. Therefore, this study examines FS and its evolution in older patients with cancer and a frailty risk profile and investigates characteristics associated with functional decline. MATERIAL AND METHODS: This secondary data-analysis, focusing on FS, uses data from a large prospective multicenter observational cohort study. Patients ≥70 years with a solid tumor and a frailty risk profile based on the G8 screening tool (score ≤ 14) were included. A geriatric assessment was performed including evaluation of FS based on ADL and IADL. At approximately three months of follow-up, FS was reassessed. Univariable and multivariable logistic regression analyses were used to identify predictive factors for functional decline in ADL and IADL. RESULTS: Data on ADL and IADL were available at baseline and follow-up in 3388 patients. At baseline 1886 (55.7%) patients were dependent for ADL, whereas 2085 (61.5%) patients were dependent at follow-up. Functional decline was observed in 23.6% of patients. For IADL 2218 (65.5%) patients were dependent for IADL, whereas 2591 (76.5%) patients were dependent at follow-up. Functional decline in IADL was observed in 41.0% of patients. In multivariable analysis, disease stage III or IV, comorbidities, falls history in the past twelve months, and FS measured by IADL were predictive factors for functional decline in both ADL and IADL. Other predictive factors for functional decline in ADL were polypharmacy, Eastern Cooperative Oncology Group-Performance Status (ECOG-PS) score 2-4, and cognitive impairment, and for functional decline in IADL were female sex, fatigue, and risk for depression. DISCUSSION: Functional impairments are frequent in older persons with cancer and a frailty risk profile, and several characteristics are identified that are significantly associated with functional decline. Therefore, FS is an essential part of the geriatric assessment which should be standard of care for this patient population. Next step is to proceed with directed interventions with the aim to limit the risk of functional decline as much as possible.

AMTRA: a multicentered experience of a web-based monitoring and tailored toxicity management system for cancer patients.

BACKGROUND: Technology-based interventions are increasingly being introduced in routine clinical cancer care. There is a need for reliable systems to monitor treatment-related toxicity in a standardized manner. Such electronic tools bridge the gap in providing quality home-based monitoring. METHODS: From July 2017 to December 2017, we performed a multicentered, non-randomized prospective cohort analysis with patients who were receiving routine chemotherapy for various solid tumors, using a web-based patient-reported toxicity registration, management, and intervention system called AMTRA (ambulatory Monitoring of cancer Therapy using an interactive Application) linked to the homecare nursing organization Remedus®. Twelve common toxicities plus pain and two biometrics could be registered daily or more frequently as required. These were processed centrally to generate tailored advice for lesser symptoms or a phone call from a dedicated nurse in case of severe or prolonged toxicity. A compliance tool to monitor oral therapies was incorporated in the system. RESULTS: One hundred sixty-eight patients (92%) were enrolled, with 31,514 registrations analyzed. One hundred eight patients reported severe toxicity (> 1461 registrations), resulting in 102 clinical interventions ranging from self-management advice, supplemental consultations to hospitalizations. Compliance to oral chemotherapy was high using AMTRA with a median of 98.7% (95 confidence interval (CI) [93.5-100.0%]). Seventy-nine percent of patients stated that the availability of AMTRA self-reports was useful in communication with the care provider, while 75% felt more in control while managing their treatment. CONCLUSIONS: The application of an interactive PRO-system in routine symptom management of cancer patients allowed standardized documentation of toxicities and recorded a high compliance with oral treatment. It allows for rapid interaction for toxicities and cancer-related symptoms experienced at home.

Unplanned hospitalizations in older patients with cancer: Occurrence and predictive factors.

BACKGROUND: This study aims to investigate the occurrence of unplanned hospitalizations in older patients with cancer and to determine predictive factors. METHODS: A prospective Belgian multicentre (n = 22), observational cohort study was performed. Patients ≥70 years with a malignant tumor were included. Patients underwent G8 screening followed by geriatric assessment (GA) if abnormal at baseline and were followed for unplanned hospitalizations at approximately three months. Uni- and multivariable regression models were performed to determine predictive factors associated with unplanned hospitalizations in older patients with an abnormal G8. RESULTS: In total, 7763 patients were included in the current analysis of which 2409 (31%) patients with a normal G8 score and 5354 (69%) with an abnormal G8 score. Patients with an abnormal G8 were hospitalized more frequently than patients with a normal G8 (22.9% versus 12.4%; p < 0.0001). Reasons for unplanned hospitalizations were most frequently cancer related (25.7%) or cancer therapy related (28%). In multivariable analysis, predictive factors for unplanned hospitalizations in older patients with cancer and an abnormal G8 were female gender, absence of surgery, chemotherapy, ADL dependency, malnutrition and presence of comorbidities. CONCLUSION: Older patients with cancer and an abnormal G8 screening present a higher risk (23%) for unplanned hospitalizations. Predictive factors for these patients were identified and include not only patient and treatment related factors but also GA related factors.

The prognostic value of patient-reported Health-Related Quality of Life and Geriatric Assessment in predicting early death in 6769 older (≥70 years) patients with different cancer tumors.

OBJECTIVES: We aimed to determine the prognostic value of baseline Health-Related Quality Of Life (HRQOL) and geriatric assessment (GA) to predict three-month mortality in older patients with cancer undergoing treatment. METHODS: Logistic regressions analysed HRQOL, as measured with the EORTC Global Health Status (GHS) scale, and geriatric information prognostic for early mortality controlling for oncology variables. The assessment was established with the odds ratio (OR), 95% confidence interval (CI) and level of significance set at p < 0.05. Discriminative power was evaluated with area under the curve (AUC). RESULTS: In total, 6769 patients were included in the study, of whom 1259 (18.60%) died at three months. Our model showed higher odds of early death for patients with lower HRQOL (GHS, OR 0.98, 95% CI 0.98-0.99; p < 0.001), a geriatric risk profile (G8 Screening Tool, 1.94, 1.14-3.29; p = 0.014), cognitive decline (Mini Mental State Examination, 1.41, 1.15-1.72; p = 0.001), being at risk for malnutrition (Mini Nutritional Assessment-Short Form, 1.54, 1.21-1.98; p = 0.001), fatigue (Visual Analogue Scale for Fatigue, 1.45, 1.16-1.82; p = 0.012) and comorbidities (Charlson Comorbidity index, 1.23, 1.02-1.49; p = 0.033). Additionally, older age, poor ECOG PS and being male increased the odds of early death, although the magnitude differed depending on tumor site and stage, and treatment (all p < 0.05). Predictive accuracy increased with 3.7% when including HRQOL and GA in the model. CONCLUSION: The results suggest that, in addition to traditional clinical measures, HRQOL and GA provide additional prognostic information for early death, but the odds differ by patient and tumor characteristics.

Health related quality of life in older patients with solid tumors and prognostic factors for decline.

OBJECTIVES: This study aims to investigate health-related quality of life (HRQOL) at baseline and at follow-up in older patients with cancer and to determine prognostic factors for HRQOL decline. METHODS: A prospective Belgian multicentre (n = 22) study was performed. Patients ≥70 years with a malignant tumor and abnormal G8 (≤14/17) screening tool were included. Patients underwent geriatric assessment (GA) and HRQOL evaluation with follow up at three months. Uni- and multivariate regression models were performed to determine factors associated (p < .05) with baseline HRQOL and HRQOL decline at follow-up. RESULTS: Results reflect data collected from 3673 patients. A multivariate analysis showed that younger patients, and those with poor Eastern Cooperative Oncology Group - Performance Status (ECOG-PS), specific tumor types (gastrointestinal, gynaecological and thorax) and higher stage had lower baseline HRQOL. In addition worse functional status and presence of pain, fatigue, depression and malnutrition were associated with lower baseline HRQOL. During treatment (n = 2972), improvement in HRQOL was observed in 1037 patients (35%) and a decline in 838 patients (28.2%). In multivariate analysis, stage and presence of baseline comorbidities, pain, fatigue or malnutrition were associated with HRQOL evolution. CONCLUSION: Baseline HRQOL in older patients with cancer and an abnormal G8 depends on tumor and age related parameters. During follow-up, HRQOL improved in one third of patients, indicating that they may benefit from cancer treatment while one quarter demonstrated a HRQOL decline for which prognostic factors were identified.

ABCG2 Polymorphism rs2231142 and hypothyroidism in metastatic renal cell carcinoma patients treated with sunitinib.

BACKGROUND AND AIM: Vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs) cause significant adverse events including thyroid dysfunction, mainly hypothyroidism, in a considerable proportion of patients. In a series of metastatic renal cell carcinoma (mRCC) patients treated with sunitinib, we aimed to study the correlation between hypothyroidism and single nucleotide polymorphisms (SNPs) in genes involved in sunitinib pharmacokinetics and pharmacodynamics. PATIENTS AND METHODS: We included 79 mRCC patients who started sunitinib between November 2005 and March 2016. Serum thyroid function markers were collected at start and during sunitinib therapy. Germ-line DNA genotyping for 16 SNPs in 8 candidate genes was performed. Endpoints were time to increase in thyroid stimulating hormone (TSH) and time to decrease in T4 or free T4 (FT4) on day 1 and day 28 of each sunitinib cycle. RESULTS: Patients with the ABCG2 rs2231142 CC-genotype had a significantly longer time-to-TSH-increase on day 1 (11 vs. 5 cycles; p = 0.0011), and time-to-T4/FT4-decrease on day 1 (not reached vs. 10 cycles; p = 0.013) and day 28 (28 vs. 7 cycles; p = 0.03) compared to CA-carriers. Patients with the CYP3A5 rs776746 GG-genotype had a significantly longer time-to-TSH-increase at day 1 compared to GA-patients: 11 vs. 5 cycles (p = 0.0071). Significant associations were also found between PDGFRA rs35597368 and rs1800812 and time-to-TSH-increase at day 28. CONCLUSION: Polymorphism rs2231142 in the efflux pump ABCG2 is associated with hypothyroidism in mRCC patients treated with sunitinib.

Fibroblast Growth Factor Receptor-2 Polymorphism rs2981582 is Correlated With Progression-free Survival and Overall Survival in Patients With Metastatic Clear-cell Renal Cell Carcinoma Treated With Sunitinib.

BACKGROUND: There are no validated markers that predict response or resistance in patients with metastatic clear-cell renal cell carcinoma (mccRCC) treated with vascular endothelial growth factor receptor tyrosine kinase inhibitors such as sunitinib and pazopanib. Recently, single nucleotide polymorphism (SNP) rs2981582 in Fibroblast Growth Factor Receptor 2 (FGFR2) was found to be associated with clinical outcome in patients with mccRCC treated with pazopanib and sunitinib. We aimed to validate these findings in patients treated with sunitinib. MATERIALS AND METHODS: Germline DNA was collected in patients with mccRCC starting first-line systemic therapy with sunitinib. SNP rs2981582 in FGFR2 C>T was genotyped. Association of the genotype with response rate, tumor shrinkage, median progression-free survival (mPFS), and median overall survival (mOS) was studied. RESULTS: We collected clinical data from 154 patients with available germline DNA. Baseline prognostic markers were well-balanced between both subgroups. Patients with the TT genotype had a poorer outcome compared with patients with the CT/CC genotype. The median shrinkage of selected tumor target lesions during treatment with sunitinib was -16% versus -31% (P = .002), mPFS was 8 versus 15 months (P = .0007), and mOS was 22 versus 33 months (P = .04), respectively. On multivariate analysis, rs2981582 remained an independent predictor of PFS (hazard ratio, 2.858; 95% confidence interval, 1.659-4.923; P < .0001) and OS (hazard ratio, 1.795; 95% confidence interval, 1.003-3.212; P = .049). CONCLUSION: Polymorphism rs2981582 in FGFR2 is correlated to PFS and OS in patients with mccRCC treated with sunitinib. Prospective validation of the impact of this SNP is warranted.

Phase II study of dual phosphoinositol-3-kinase (PI3K) and mammalian target of rapamycin (mTOR) inhibitor BEZ235 in patients with locally advanced or metastatic transitional cell carcinoma.

OBJECTIVE: To assess, in a multicentre phase II trial, the safety and efficacy of BEZ235, an oral pan-class I phosphoinositol-3-kinase (PI3K) and mammalian target of rapamycin (mTOR) complex1/2 inhibitor, in locally advanced or metastatic transitional cell carcinoma (TCC) after failure of platinum-based therapy. PATIENTS AND METHODS: Patients with locally advanced or metastatic TCC progressing after platinum therapy were prospectively stratified by PI3K/Akt/mTOR pathway alterations, defined as PTEN loss and PIK3CA mutation. All patients received BEZ235 until progressive disease or unacceptable toxicity. The primary endpoint was the progression-free survival (PFS) rate at 16 weeks. This study was, however, closed prematurely because BEZ235 was withdrawn from further development. RESULTS: A total of 20 patients (18 without and two with PI3K/Akt/mTOR alterations) were enrolled and received BEZ235. One partial response (5%) and two cases of stable disease (10%) were observed, all in patients without PI3K/mTOR pathway alterations. The PFS rate at 8 and 16 weeks was 15 and 10%, respectively; the median (range) PFS was 62 (38-588) days (95% confidence interval [CI] 53-110); and the median (range) overall survival was 127 (41-734) days (95% CI 58-309). Among the 90% of patients who experienced drug-related adverse events of any grade, 50% experienced grade 3-4 adverse events, including stomatitis (15%), fatigue (5%), nausea (5%), diarrhoea (5%), renal failure (5%), cutaneous rash (5%), hepatotoxicity (5%) and hypertension (5%). CONCLUSION: BEZ235 showed modest clinical activity and an unfavourable toxicity profile in patients with advanced and pretreated TCC; however, a minority of patients experienced a clinical benefit, suggesting that a complete blockade of the PI3K/mTOR axis could improve outcome in some specific patients. Furthermore, this study showed that molecular stratification of patients for personalized medicine before treatment is feasible.

Patient outcome in the Belgian medical need program on bevacizumab for recurrent glioblastoma.

Bevacizumab (BEV) has demonstrated anti-tumor activity in patients with recurrent glioblastoma (rGB). Given the unmet need for active therapeutic options in rGB patients, a medical need program was initiated by the Belgian competent authorities. Between November 2010 and February 2013, a total of 313 patients with rGB initiated treatment with BEV administered at a dose of 10 mg/kg every 2 weeks. All patients had failed prior treatment with at least radiation therapy and temozolomide and the majority of patients (70 %) were treated with corticosteroids at baseline. Patients received a median of 6 BEV administrations (range 1-53). Overall, BEV was well tolerated. During BEV treatment the WHO-Performance Score (WHO-PS) improved in 59 patients (19 %) and stabilized for at least 6 weeks in an additional 139 (44 %) patients. Corticosteroid treatment could be stopped in 16 % or reduced in dose in 32 % of patients. The best objective tumor response rate using RANO criteria (investigator's assessment) was 3.5 % CR, 22 % PR, 38 % SD and 37 % PD. The median and 6-month PFS were 13 weeks (95 % CI 12.7-14) and 27.3 % (95 % CI 22.3-32.5), median and 6-month OS rates were 26 weeks (23-29) and 52 % (46.4-58.6), respectively. WHO-PS (0-1 vs. 2-3) and baseline steroid use were significantly correlated with PFS and OS. Our observations support the use of BEV as a monotherapy for patients with rGB who have no alternative treatment options. Optimal benefit from BEV treatment is likely to be obtained when treatment is initiated before the performance status deteriorates to two or less.

Prospective randomized study comparing docetaxel, estramustine, and prednisone with docetaxel and prednisone in metastatic hormone-refractory prostate cancer.

PURPOSE: To assess the efficacy and toxicity of the addition of estramustine to docetaxel (D) for the treatment of metastatic hormone-refractory prostate cancer. PATIENTS AND METHODS: One hundred fifty patients were randomly assigned to D alone (35 mg/m(2) on days 2 and 9, every 3 weeks) or D in combination with estramustine (D/E; 280 mg orally three times a day on days 1 to 5 and 8 to 12, every 3 weeks). All patients received prednisone (10 mg/d). The primary end point was prostate-specific antigen (PSA) response rate, which was defined as a decrease in PSA > or = 50% from baseline. The study was powered to test the hypothesis that D/E would improve the PSA response rate by 25%. RESULTS: The PSA response rate was not statistically different between the two groups. PSA of less than 4 ng/mL occurred in 29 (41%) of 71 patients receiving D/E and in 17 (25%) of 69 patients receiving D (P = .05). No significant differences were found for median time to PSA progression (D/E, 6.9 months; D, 7.3 months) or median overall survival time (D/E, 19.3 months; D, 21 months). More patients had at least one grade 3 or 4 toxicity with D/E (45%) compared with D (21%; P = .005), mainly as a result of grade 3 or 4 GI toxicity (P = .05). Serious adverse events were more frequent with D/E (n = 20) than with D (n = 9; P = .04). CONCLUSION: The addition of estramustine to weekly D does not provide any clinically relevant advantage. Both regimens are well tolerated, although the toxicity profile favors D without estramustine.