Selecting patients with 'sufficient life expectancy' for Phase I oncology trials remains challenging. The Royal Marsden Hospital Score (RMS) previously identified high-risk patients as those with ≥ 2 ...of the following: albumin <35 g l(-1); LDH > upper limit of normal; >2 metastatic sites. This study developed an alternative prognostic model, and compared its performance with that of the RMS.
The primary end point was the 90-day mortality rate. The new model was developed from the same database as RMS, but it used Chi-squared Automatic Interaction Detection (CHAID). The ROC characteristics of both methods were then validated in an independent database of 324 patients enrolled in European Organization on Research and Treatment of Cancer Phase I trials of cytotoxic agents between 2000 and 2009.
The CHAID method identified high-risk patients as those with albumin <33 g l(-1) or ≥ 33 g l(-1), but platelet counts ≥ 400.000 mm(-3). In the validation data set, the rates of correctly classified patients were 0.79 vs 0.67 for the CHAID model and RMS, respectively. The negative predictive values (NPV) were similar for the CHAID model and RMS.
The CHAID model and RMS provided a similarly high level of NPV, but the CHAID model gave a better accuracy in the validation set. Both CHAID model and RMS may improve the screening process in phase I trials.
Abstract
Background
Systemic sclerosis (SSc) is a rare autoimmune connective tissue disease characterized by excessive extracellular matrix deposition and fibrosis that can affect the skin, blood ...vessels, and internal organs, including the heart. Primary heart involvement in SSc refers to the presence of cardiac fibrosis, inflammation, and dysfunction in the absence of pulmonary hypertension (PH). Although PH is usually considered the major risk factor for death in SSc patients, diastolic dysfunction has been proposed as an independent predictor of mortality, which may be more robust than PH.
Purpose
Early identification and management of heart complications in SSc patients are crucial to prevent further deterioration and improve treatment outcomes. However, myocardial damage caused by SSc is often poorly understood, and the long-term effects and prognosis remain unknown.
Methods
We conducted a cross-sectional study of 69 patients (p) with SSc diagnosis evaluated between February 2022 and February 2023. We analyzed the prevalence of left ventricular diastolic dysfunction (LVDD) as recommended by the 2016 ASE/EACVI guidelines. We compared the presence of risk factors associated with LVDD and its association with other echocardiographic findings.
Of the 69p, 24 (34.8%) had LVDD, 41 (59.4%) had normal diastolic function, and 4 (5.8%) had undetermined diastolic dysfunction. Older age (mean age 69.7 ± 11.2 vs 57 ± 12.8; p < 0.01), arterial hypertension (50% vs 22%; p = 0.02), higher body mass index (28.3 ± 8 vs 24.6 ± 4.5; p = 0.02), and higher NTproBNP levels (131 64-403 vs 97 45-163; p = 0.047) were significantly associated with LVDD. The absence of antitopoisomerase (scl70 0% vs 22.2%; p = 0.021) and the presence of anticentromere (CENP-A 81% vs 55.6%; p = 0.05) and (CENP-B 85.7% vs 55.6%; p = 0.02) antibodies were also significantly associated with LVDD. Additionally, classical parameters of ventricular function, such as left ventricular ejection fraction (LVEF 63.5 ± 4.2 vs 63.4 ± 3.7; p = 0.9) or tricuspid annular plane systolic excursion (TAPSE 20.6 ± 2.3mm vs 21.2 ± 2.4mm; p = 0.32), were not associated with LVDD. However, impairment of the right ventricular free wall strain (-23.8 ± 4 vs -27 ± 2.8; p = 0.017), and lower left atrial strain reservoir function (27.7 ± 10 vs 38.4 ± 12.7; p = 0.05) were significantly associated with LVDD.
Conclusion
LVDD is highly prevalent in patients with systemic sclerosis, particularly in elderly patients with a higher body mass index and those affected by arterial hypertension. These patientes have higher values of NTproBNP. Futhermore, antitopoisomerases antibodies are less likely to be expressed and anticetromere antibodies are more likely to be expressed . These findings highlight the importance of regular cardiovascular monitoring in SSc patients and the potential value of using new echocardiographic parameters to identify those at risk for LVDD.
Ra223 is a life-prolonging alpha-emitter bone targeted therapy for mCRPC patients with bone metastases. However, evidence on biomarkers that may help us in patient selection are lacking. Total ALP ...(tALP) appeared to be a potential marker of Ra223 effect in early studies (Sartor, Ann Oncol, 2017). Other bone-related markers, as bone-specific ALP (BALP), have demonstrated its prognostic value in mCRPC patients with bone metastases (Fizazi K, Eur Urol, 2015; Lara PN, J Natl Cancer Inst, 2014).
PRORADIUM (NCT022925702) is a prospective multicentre cohort study in mCRPC patients treated with Ra223. The primary aim was to assess the impact of baseline serum biomarkers of bone formation (BALP and C-terminal of type 1 collagen propeptide CICP) on overall survival (OS). Secondary aims include the correlation of progression-free survival (PFS), time to PSA progression (TTPP) and skeletal-related events free-survival (SRE-FS) with serum bone markers.
142 out of 168 pts enrolled in the study were included in this preliminary analysis. Median age was 74 yrs, 85.5% pts had ECOG 0-1, 52% pts completed 5-6 cycles of Ra223. Higher baseline levels of BALP and CICP were associated to number of metastases in bone-scan (p=0.007 and p=0.016, respectively) and baseline pain (p=0.014 and p=0.050, respectively). After a median follow-up of 18 months, 91 deaths were observed, with a median OS of 11.5 months (95%CI: 9.1-13.9). Patients with baseline BALP and CICP values above the median showed a trend to shorter TTPP (BALP: 2.8 vs 3.1 m, p=0.016; CICP: 2.8 vs 3.0 m, p=0.091) and PFS (BALP: 4.4 vs 5.1 m, p=0.070; CICP: 4.2 vs 5.5 m, p=0.281), respectively. The elevation of bone markers above the median was significantly associated with worse OS (BALP: 8.8 vs 17.9 m, p<0.001; CICP: 9.4 vs 16.8 m, p=0.001). There were not associations found with SRE-FS.
Our results suggest that baseline serum markers of bone formation may serve as biomarkers for prognosis in mCRPC patients treated with Ra233.
NCT022925702.
IBIMA and CNIO.
Bayer, CRIS Cancer Foundation, Grant from Instituto de Salud Carlos III (PI16/01565).
N. Romero Laorden: Honoraria (self), Travel / Accommodation / Expenses: Bayer, Astellas Pharma, Janssen-Cilag, Sanofi-Aventis, PharmaMar, MSD, Roche. R. Lozano Mejorada: Honoraria (self): Roche, Janssen-Cilag, Bayer; Research grant / Funding (institution): Bayer, Janssen-Cilag; Travel / Accommodation / Expenses: Roche, Janssen-Cilag, Astellas Pharma. E. Almagro Casado: Honoraria (self): MSD; Travel / Accommodation / Expenses: BMS. E. Gonzalez Billalabeitia: Travel / Accommodation / Expenses: BMS, Pfizer, Janssen-Cilag, Astellas Pharma, Sanofi. A. Montesa: Advisory / Consultancy: Janssen-Cilag, Pfizer, Sanofi, Astellas Pharma; Travel / Accommodation / Expenses: Pfizer. G.A. De Velasco Oria de Rueda: Honoraria (self), Advisory / Consultancy: Pfizer, Novartis, Ipsen, Astellas Pharma, BMS, Bayer, MSD, Roche. R. Morales Barrera: Honoraria (self): MSD, Sanofi, AstraZeneca, Janssen, Roche/Genentech; Advisory / Consultancy: MSD, Sanofi, AstraZeneca, Janssen, Roche/Genentech; Speaker Bureau / Expert testimony: MSD, Sanofi, AstraZeneca, Asofarma, Janssen; Research grant / Funding (institution): AB Science, Aragon Pharmaceuticals, INC, Astellas Pharma, AstraZeneca, Aveo Pharmaceuticals, Bayer, Blueprint Medicines Corporation, BN Immunotherapeutics, Boehringer Ingelheim España, BMS, Clovis Oncology, Cougar Technology, Deciphera Pharmaceuticals LL; Travel / Accommodation / Expenses: MSD, Roche, Lilly, Clovis Oncology, Bayer, Janssen-Cilag, Astellas Pharma, AstraZeneca. D. Lorente: Honoraria (self): Janssen-Cilag, Bayer, Astellas Pharma, Sanofi; Advisory / Consultancy: Janssen-Cilag, Bayer, Sanofi; Travel / Accommodation / Expenses: Sanofi, Astellas, Janssen-Cilag, Celgene. E. Castro: Honoraria (self): Astellas Pharma, Janssen-Cilag, AstraZeneca, Bayer, Pfizer; Advisory / Consultancy: Bayer, Janssen-Cilag; Research grant / Funding (institution): Janssen-Cilag, AstraZeneca, Bayer, Genentech, Roche, Pfizer, Astellas Medivation, Tokai Pharmaceuticals; Travel / Accommodation / Expenses: Bayer, Janssen-Cilag, Roche, Astellas Pharma. D. Olmos Hidalgo: Honoraria (self): Janssen-Cilag, Bayer, Sanofi; Advisory / Consultancy: Bayer, Janssen-Cilag, AstraZeneca, Clovis Oncology; Research grant / Funding (institution): Bayer, Janssen, AstraZeneca, Roche/Genentech, Medivation/Pfizer, Astellas, Tokai, MSD, GSK; Travel / Accommodation / Expenses: Bayer, Janssen-Cilag, Ipsen. All other authors have declared no conflicts of interest.
Abiraterone (Abi), enzalutamide (Enz) and docetaxel (Doc) are all approved first-line (1L) treatment options for mCRPC. However, the optimal treatment sequence has not been established yet. In the ...present analysis, we explored the outcomes of pts treated with 1L Doc or Abi/Enz in the prospective PROREPAIR-B cohort study (NCT03075735).
We assessed the impact of 1L treatment options (Doc vs Abi/Enz) on progression-free survival to 1L therapy (PFS) and overall survival (OS). Uni- (UV) and multivariable (MV) Cox-regression models were used. MV model covariates included age (≥75 years), local therapy, Gleason Score, visceral metastases, metastases at diagnosis, phosphatase alkaline (ALP) (≥ULN), lactate dehydrogenase (LDH) (≥ULN), haemoglobin (Hb) (≤LNL), albumin (≤LNL) and ECOG performance status.
Of 419 pts enrolled in the study, 406 received 1L Doc (n=188) or Abi/Enz (n=218). Overall, pts receiving Doc were younger (p=0.002), had higher rates of visceral metastases (17.6% vs 8.7%, p=0.008), ALP (52.1% vs 40.4%, p=0.018), LDH (48.1% vs 31.2%, p<0.001), lower Hb (7.4% vs 2.8%, p=0.029) and albumin (11.3% vs 4.6%). The median follow-up was 40 months. PFS was longer in pts receiving 1L Abi/Enz vs Doc (10.8 vs 8.3 months, HR: 0.5, p<0.001). 123/188 pts treated with 1L-Doc received second-line (2L) Abi/Enz: 30 received other 2L and 35 had not started 2L. 111/216 pts treated with 1L-Abi/Enz received 2L Doc, 26 were started on other 2L and 79 had not initiated 2L. Choice of first-line agent was not associated with OS in the MV model. Similar results were found in the elderly population. Of 137 aged ≥ 75 years, 48 received Doc and 88 Abi/Enza as first-line therapy. PFS favoured 1L Abi/Enz vs Doc (9.6 vs 8.3m, HR: 0.52, p=0.001), whereas no difference was found in terms of OS (28.2 vs 24.8m, respectively, HR: 1.18, p=0.474).
Pts treated with 1L Doc had worse baseline prognostic features. Despite a longer PFS was observed in pts treated with 1L Abi/Enz vs Doc, no difference in OS was found between the treatment sequences. Similar results were observed in the elderly population. Biomarker-driven pts selection is needed to identify the optimal sequence.
NCT03075735.
Centro Nacional de Investigaciones Oncológicas (CNIO).
Unrestricted grant from Fundación Cris Contra el Cancer; three investigator awards from the Prostate Cancer Foundation (C.C.P. 2013, D.O. 2014, and E.C. 2017); and three grants from Fondo de Investigación Sanitaria, Instituto de Salud Carlos III (No. PI13/01287 and PI16/01565 to D.O. and No. PI15/01471 to P.L.). During the conduct of this study, E.C., D.O., P.N., and L.M-P. were supported by grants from Ministerio de Economía, Industria y Competitividad (No. JCI-2014-19129 E.C., No. RYC-2015-18625 D.O., No. SVP-2013-067937 P.N., No. SVP-2014-068895 L.M.); D.O. was also funded by a Return fellowship from Fundación Científica de la Asociación Española Contra el Cancer, 2012-2015; N.R.L. and R.L., by grants from Instituto de Salud Carlos III (No. CM14-00200 to N.R.L. and No. CM17-00221 R.L.); and Y.C., by a grant from Ministerio de Educación, Cultura y Deportes (No. FPU15/05126). C.C.P. was supported by a congressional-designated medical research program award (No. CMRP-PC131820).
C. Cattrini: Travel / Accommodation / Expenses: Novartis, Ipsen. N. Romero Laorden: Honoraria (self): MSD, Sanofi-Aventis, Astellas, Janssen-Cilag; Travel / Accommodation / Expenses: Bayer, Janssen-Cilag, Roche, PharmaMar; Research grant / Funding (institution): Bayer, Astellas, Janssen, Sanofi. E. Castro: Honoraria (self): Astellas Pharma, Janssen-Cilag, AstraZeneca, Bayer, Pfizer; Advisory / Consultancy: Bayer, Janssen-Cilag; Research grant / Funding (institution): Janssen-Cilag, AstraZeneca, Bayer; Travel / Accommodation / Expenses: Bayer, Janssen-Cilag, Roche, Astellas Pharma. I. García-Carbonero: Advisory / Consultancy: Janssen Oncology, Astellas Pharma, Bayer, Sanofi; Travel / Accommodation / Expenses: Astellas Pharma, Janssen, Sanofi, Bayer. J.M. Piulats: Advisory / Consultancy: Janssen Oncology, Astellas Pharma, VCN Biosciences, Clovis Oncology, Roche, Genentech, Bristol-Myers Squibb, Merck Sharp & Dohme; Research grant / Funding (institution): Bristol-Myers Squibb, AstraZeneca, MedImmune, Merck Sharp & Dohme, Pfizer, EMD Serono, Incyte, Janssen Oncology; Travel / Accommodation / Expenses: Janssen Oncology, Roche, Bristol-Myers Squibb. J. Puente: Advisory / Consultancy: Pfizer, Astellas Pharma, Janssen-Cilag, Merck Sharp & Dohme, Bayer, Roche, Bristol-Myers Squibb, AstraZeneca, Boehringer Ingelheim, Clovis Oncology, Ipsen, Eisai, EUSA Pharma, Sanofi; Speaker Bureau / Expert testimony: Pierre Fabre, Celgene, Kiowa, Novartis, Lilly; Research grant / Funding (institution): Astellas Pharma, Pfizer; Research grant / Funding (institution): Pfizer, Roche, Janssen-Cilag. B. P. Valderrama: Honoraria (self): Pierre Fabre, Astellas Pharma, Novartis, Bristol-Myers Squibb, Ipsen; Advisory / Consultancy: Astellas Pharma, Novartis, Pfizer, Pierre Fabre, Bayer, Sanofi, Bristol-Myers Squibb, Roche, Ipsen; Travel / Accommodation / Expenses: Janssen-Cilag, Bristol-Myers Squibb. E. Gonzalez Billalabeitia: Travel / Accommodation / Expenses: Bristol-Myers Squibb, Pfizer, Janssen-Cilag, Astellas Pharma, Sanofi. R. Morales Barrera: Honoraria (self): MSD, Sanofi, AstraZeneca, Asofarma, Johnson and Johnson, Roche/Genentech; Advisory / Consultancy: MSD, Sanofi, AstraZeneca, Asofarma, Johnson and Johnson, Roche/Genentech; Speaker Bureau / Expert testimony: MSD. Sanofi, AstraZeneca, Asofarma, Johnson and Johnson; Research grant / Funding (institution): AB Science, Aragon Pharmaceuticals, Arog Pharmaceuticals, INC, Astellas Pharma., AstraZeneca AB, Aveo Pharmaceuticals INC, Bayer AG, Blueprint Medicines Corporation, BN Immunotherapeutics INC, Boehringer Ingelheim España, S.A., Bristol-Myers Squibb Intern; Travel / Accommodation / Expenses: MSD, Roche/Genentech, Lilly, Clovis Oncology, Bayer, Johnson and Johnson, Astellas Pharma, AstraZeneca. R. Lozano Mejorada: Honoraria (self): Roche, Janssen-Cilag, Bayer; Research grant / Funding (institution): Bayer, Janssen-Cilag; Travel / Accommodation / Expenses: Roche, Janssen-Cilag, Astellas Pharma. R. Luque: Honoraria (self), Travel / Accommodation / Expenses: Janssen-Cilag, Sanofi Aventis, Astellas Medivation, Roche, Novartis, Pfizer, Bristol-Myers Squibb, EUSA Pharma. E. Martinez Ortega: Honoraria (self), Travel / Accommodation / Expenses: Sanofi Aventis, Roche, Pfizer Bristol Mayers Squibb, EUSA Pharma and IPSEN. J.A. Arranz Arija: Honoraria (self): Novartis MSD Oncology Janssen-Cilag EUSA Pharma Astellas Pharma Bristol-Myers Squibb; Advisory / Consultancy: Pfizer Astellas Pharma Janssen-Cilag Novartis Bayer Ipsen MSD Oncology Bristol-Myers Squibb EUSA Pharma; Research grant / Funding (institution): Novartis Pierre Fabre Bristol-Myers Squibb; Travel / Accommodation / Expenses: Bristol-Myers Squibb Janssen-Cilag MSD Oncology Pfizer. E. Gallardo Diaz: Honoraria (self): Astellas Pharma, Roche, Bristol-Myers Squibb, Novartis; Advisory / Consultancy: Pfizer, Bayer Schering Pharma, Janssen Oncology, Astellas Pharma, Roche, Bristol-Myers Squibb, Sanofi, Ipsen, Eisai, Rovi, Daiichi Sankyo, EUSA Pharma; Speaker Bureau / Expert testimony: Rovi, LEO Pharma, Menarini, Bristol-Myers Squibb, Ipsen, Astellas Pharma, Roche, Daiichi Sankyo; Travel / Accommodation / Expenses: Pfizer, Astellas Pharma, Pierre Fabre, Bayer Schering Pharma, Bristol-Myers Squibb, Eisai, Janssen, Roche. E. Almagro Casado: Speaker Bureau / Expert testimony: MSD; Travel / Accommodation / Expenses: Bristol-Myers Squibb. M.J. Mendez Vidal: Advisory / Consultancy: Janssen-Cilag, Pfizer, Astellas Pharma, Sanofi, Bayer, Bristol-Myers Squibb, Novartis, Roche; Travel / Accommodation / Expenses: Janssen-Cilag, Pfizer, Astellas Pharma, Bristol-Myers Squibb. D. Olmos Hidalgo: Speaker Bureau / Expert testimony: Astellas, Bayer, Janssen, Sanofi; Advisory / Consultancy: Astellas, AstraZeneca, Bayer, Genentech, Janssen, Clovis; Research grant / Funding (institution): Astellas, AstraZeneca, Bayer, Genentech/Roche, Janssen (Incl.Aragon), Medivation/Pfizer, Tokai, MSD, GSK; Travel / Accommodation / Expenses: Bayer, Janssen-Cilag, Ipsen. D. Lorente: Honoraria (self): Janssen-Cilag, Bayer, Astellas Pharma, Sanofi; Advisory / Consultancy: Janssen-Cilag, Bayer, Sanofi; Travel / Accommodation / Expenses: Sanofi, Astellas, Janssen-Cilag, Celgene. All other authors have declared no conflicts of interest.
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