Pembrolizumab (pembro) plus axitinib (axi) versus sunitinib as first-line therapy for metastatic renal cell carcinoma (mRCC): Outcomes in the combined IMDC intermediate/poor risk and sarcomatoid subgroups of the phase 3 KEYNOTE-426 study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4500-4500 ◽  
Author(s):  
Brian I. Rini ◽  
Elizabeth R. Plimack ◽  
Viktor Stus ◽  
Rustem Gafanov ◽  
Robert Hawkins ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Risk Group ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
First Line ◽  
Poor Risk ◽  
First Line Therapy ◽  
Line Therapy

4500 Background: In KEYNOTE-426, pembro + axi significantly improved OS (HR 0.53, P < .0001), PFS (HR 0.69, P = .0001), and ORR (59.3% vs 35.7%, P < .0001) vs sunitinib and had manageable toxicity as first-line therapy for mRCC (NCT02853331). The pembro + axi benefit was observed across all IMDC risk groups and regardless of PD-L1 expression. We present data for the combined intermediate/poor risk group and for patients (pts) with sarcomatoid features. Methods: 861 eligible pts with clear-cell mRCC, no prior systemic therapy for mRCC, and KPS ≥70 were randomized 1:1 to pembro 200 mg IV Q3W for a maximum of 35 cycles plus axi 5 mg orally BID (N = 432) or sunitinib 50 mg orally QD (4-wk on/2-wk off) (N = 429). Primary endpoints were OS and PFS (RECIST v1.1 by blinded, independent central review [BICR]). ORR (RECIST v1.1 by BICR) was the key secondary endpoint. The intermediate/poor risk group was prespecified; the sarcomatoid group was exploratory. HRs and their 95% CIs were calculated with a Cox proportional hazards model. None of the analyses were multiplicity-controlled. Results: 592 (68.8%) of all randomized pts were of IMDC intermediate/poor risk — 294 in the pembro + axi arm, 298 in the sunitinib arm. Pembro + axi improved OS (HR 0.52, 95% CI 0.37-0.74; 12-mo rate 87.3% vs 71.3%), PFS (HR 0.67, 95% CI 0.53-0.85; median 12.6 vs 8.2 mo), and ORR (55.8% [95% CI 49.9-61.5] vs 29.5% [24.4-35.1]) in pts with intermediate/poor risk; CR rates were 4.8% (95% CI 2.6-7.9) vs 0.7% (0.1-2.4). Of the 578 pts with known status, 105 (18.2%) had sarcomatoid features — 51 in the pembro + axi arm, 54 in the sunitinib arm. Pembro + axi improved OS (HR 0.58, 95% CI 0.21-1.59; 12-mo rate 83.4% vs 79.5%), PFS (HR 0.54, 95% CI 0.29-1.00; median not reached vs 8.4 mo), and ORR (58.8% [95% CI 44.2-72.4] vs 31.5% [19.5-45.6]) in pts with sarcomatoid features; CR rates were 11.8% (95% CI 4.4-23.9) vs 0% (0.0-6.6). Conclusions: Pembro + axi provides benefit in the combined population of pts with IMDC intermediate or poor risk and in pts whose tumors had sarcomatoid features. The observed benefits were consistent with those seen in the total population. Clinical trial information: NCT02853331.

Correlation of survival with tumor histology, age, and prognostic risk group for previously untreated patients with advanced renal cell carcinoma (adv RCC) receiving temsirolimus (TEMSR) or interferon-alpha (IFN)

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 5033-5033 ◽  
Author(s):  
J. P. Dutcher ◽  
C. Szczylik ◽  
N. Tannir ◽  
P. Benedetto ◽  
P. Ruff ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Clear Cell ◽  
Progression Free Survival ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Tumor Histology ◽  
Poor Risk ◽  
Hazards Model

5033 Background: Temsirolimus is a novel mTOR inhibitor and has demonstrated significantly longer overall survival (OS, P=0.0069) and progression-free survival (PFS, P=0.0001) vs IFN for patients (pts) with previously untreated adv RCC with poor-risk features (Hudes et al. ASCO 2006). Planned and post-hoc analyses were performed to assess the influence of tumor histology (clear- cell vs other), age (<65 y vs =65 y), and prognostic-risk groups (intermediate vs poor; Motzer et al. JCO 20:289) on survival in pts treated with TEMSR or IFN. Methods: Pts received IFN 3 million units [MU] subcutaneously 3x weekly, escalating to 18 MU; TEMSR 25-mg intravenous infusion weekly; or TEMSR 15-mg infusion plus IFN 6 MU. Kaplan-Meier analysis and a Cox proportional hazards model were used to analyze OS and PFS for pt subsets. Histologies were reported by investigators. Results: The proportion of pts with different histologies was balanced across the 2 arms (81% clear-cell; 13% indeterminate, 6% non-clear-cell). Of those with additional subtype data, 75% were papillary. For pts with clear-cell tumors, median OS and PFS were longer for TEMSR vs IFN with hazard ratios (HR) of 0.82 and 0.76, respectively ( Table ). For pts with other tumor histologies, median OS and PFS also were longer for TEMSR vs IFN with HR of 0.49 and 0.38, respectively. Among pts <65 y, median OS and PFS were longer for TEMSR than for IFN (OS: TEMSR [n=145] 12.0 mo; IFN [n=142] 6.9 mo; HR=0.62 [95% CI, 0.47, 0.82]; PFS: TEMSR 5.6 mo; IFN 3.1 mo; HR=0.61 [0.47, 0.79]). There was no difference in OS or PFS for pts =65 y treated with TEMSR or IFN but TEMSR had a better side effect profile than IFN. OS and PFS for pts with intermediate- or poor-risk features will be reported. Conclusions: TEMSR benefits pts with clear-cell RCC and other histologies as well as younger and older pts. [Table: see text] No significant financial relationships to disclose.

Outcomes of second line treatment in patients with advanced and metastatic biliary cancers.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 420-420
Author(s):  
Gustavo Figueiredo Marcondes Westin ◽  
Samer Alsidawi ◽  
Chandrikha Chandrasekharan ◽  
Andrew M. Briggler ◽  
Brendon Huffman ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
P Value ◽  
Line Treatment ◽  
Second Line ◽  
First Line ◽  
Second Line Therapy ◽  
Line Therapy

420 Background: Advanced biliary cancers respond poorly to chemotherapy and have a dismal survival. Currently gemcitabine-cisplatin (GC) is the standard of care for patients with advanced disease. The efficacy of second line treatment options is not well-defined. We retrospectively evaluated outcomes of patients undergoing second line treatment for advanced biliary cancers at Mayo Clinic. Methods: After obtaining approval from the institutional board review (IRB), we identified 42 patients with advanced and metastatic biliary cancers that progressed after first line (GC) and received second line treatment from 2007-2014. All patients had adequate follow up data. JMP software was used for statistical analysis. Kaplan-Meier method and log-rank tests were used for survival analysis, and multivariate cox proportional hazards model was used to evaluate the prognostic effect of pertinent clinical variables. All tests were two sided and a P value of < 0.05 was considered significant. Results: The median age at diagnosis was 61.5 (range 26-87). The most common regimens used for second line settings were 5-FU-based (69%) followed by gemcitabine-based regimens (19%). The overall response rate (ORR) was 9.1%, while the disease control rate (DCR; stable disease and partial response) was 33%. The median overall survival (mOS) for the entire cohort from first line was 16.8 months (95% CI 12.7-21.7) and the progression-free survival (PFS) was 9.16 months (95% CI 7.3-14.7). From second line start the mOS was 10.4 months (95%; CI 7.3-23.7), and PFS was 2.8 months (95% CI 2.3-4.0). 73% of patients who received second line therapy were alive at 6 months and 50% at 12 months. 25 patients received third line treatment after progression. An univariate and multivariate analysis were performed including age, sex, stage at diagnosis, regimen used, CA19-9 and total body weight loss > 5%, but no significant prognostic factors were identified. Conclusions: Patients with biliary cancers who progress after first line treatment have poor prognosis, but may benefit from second line regimens. 5-FU based regimens were the most commonly used in the second line setting, and 73% of patients who received second line therapy were alive at 6 months.

scholarly journals A novel nomogram to predict the overall survival in esthesinoeroblastoma

2020 ◽  
Author(s):  
Lijie Jiang ◽  
Tengjiao Lin ◽  
Yu Zhang ◽  
Wenxiang Gao ◽  
Jie Deng ◽  
...  
Keyword(s):  
Overall Survival ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Validation Cohort ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer Center ◽  
P Value ◽  
Training Cohort

Abstract Background Increasing evidence indicates that the pathology and the modified Kadish system have some influence on the prognosis of esthesioneuroblastoma (ENB). However, an accurate system to combine pathology with a modified Kadish system has not been established. Methods This study aimed to set up and evaluate a model to predict overall survival (OS) accurately in ENB, including clinical characteristics, treatment and pathological variables. We screened the information of patients with ENB between January 1, 1976, and December 30, 2016 from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) program as a training cohort. The validation cohort consisted of patients with ENB at Sun Yat-sen University Cancer Center and The First Affiliated Hospital of Sun Yat-sen University in the same period, and 87 patients were identified. The Pearson’s chi-squared test was used to assess significance of clinicopathological and demographic characteristics. We used the Cox proportional hazards model to examine univariate and multivariate analyses. The model coefficients were used to calculate the Hazard ratios (HR) with 95% confidence intervals (CI). Prognostic factors with a p- value < 0.05 in multivariate analysis were included in the nomogram. The concordance index (c-index) and calibration curve were used to evaluate the predictive power of the nomogram. Results The c-index of training cohort and validation cohort are 0.737 (95% CI, 0.709 to 0.765) and 0.791 (95% CI, 0.767 to 0.815) respectively. The calibration curves revealed a good agreement between the nomogram prediction and actual observation regarding the probability of 3-year and 5-year survival. We used a nomogram to calculate the 3-year and 5-year growth probability and stratified patients into three risk groups. Conclusions The nomogram provided the risk group information and identified mortality risk and can serve as a reference for designing a reasonable follow-up plan.

Sequential treatment of advanced or metastatic renal cell carcinoma (mRCC): What is effective? Data from the German RCC registry.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 499-499
Author(s):  
Lothar Mueller ◽  
Peter J. Goebell ◽  
A. Lueck ◽  
Friedrich Overkamp ◽  
Michele Vogt ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Current Treatment ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Sequential Treatment ◽  
Line Therapy ◽  
Systemic Treatments

499 Background: In addition to Bevacizumab+Interferon, current treatment options of mRCC imply two major intracellular modes of action and thus classes of therapies: the four approved tyrosine kinase inhibitors (TKI) Sunitinib, Sorafenib, Pazopanib, Axitinib and the two inhibitors of the mammalian target of rapamycin (mTOR) Temsirolimus, Everolimus (EVE). With their availability efficacy of sequential treatment has become a central question of clinical research. While clinical trials recruit highly selected patients (pts) and usually focus on a single line of therapy, collected data of clinical registries may represent all patients and all sequential therapies. Methods: Starting in 12/2007 the registry aims to enrol a total of 1500 patients from more than 120 oncology and urology outpatient centres collecting data on all systemic treatments, outcome, patient and tumour characteristics. Here, the effectiveness of two 1st – 2nd-line sequential treatments, TKI–TKI vs TKI–EVE, was investigated with a multivariate cox proportional hazards model considering potential confounding variables (age, comorbidity, body mass index (BMI), duration of 1st-line therapy, Motzer’s score and type of sequential treatment). Results: At the time of analysis, 481 pts had received sequential 1st- and 2nd-line treatment between 2007 and 2012. In total, 70% of pts received 1st-line TKI-treatment. 46% of these pts received the sequential treatment TKI–TKI, 25% received TKI–EVE. In the multivariate analysis, high BMI (HR 0.946, 95% CI 0.9018-0.9923, p<.05) and a long duration of 1st-line-therapy (HR 0.9967, 95% CI 0.9956-0.9979, p<.001) had a significant positive impact on OS, whereas high risk Motzer`s score (HR 8.9992, 95% CI 2.4231-33.4228, p<.01) had a significant negative impact on OS. However, the type of sequential treatment had no impact on OS (HR 1.0658, 95% CI0.6463-1.7576, p=0.802). Conclusions: The RCC Registry provides an overview of the current treatment reality in routine medical practice. TKI are the most frequently applied 1st-line treatments, followed by TKI or mTOR inhibitors. Our data show no difference concerning the effectiveness of the sequential treatment TKI–TKI vs TKI–EVE.

Clinical outcomes of pancreas cancer patients with peritoneal spread: Results from the chord consortium.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19268-e19268
Author(s):  
Mehrnoosh Pauls ◽  
Abdulaziz AlJassim AlShareef ◽  
Winson Y. Cheung ◽  
Rachel Anne Goodwin ◽  
Brandon M. Meyers ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Advanced Pancreatic Cancer ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
First Line ◽  
The Impact ◽  
Line Chemotherapy

e19268 Background: Prior studies have demonstrated that clonal cells that give rise to pancreatic peritoneal metastases (PM) are geographically and genetically distinct from clonal cells, giving rise to lung and liver metastases. The objective of this study was to assess if there is a distinct difference in prognosis and therapeutic response among patients with pancreatic cancer with (PM compared to the lung/liver. Methods: Using a retrospective cohort design, medical records from adult patients diagnosed with metastatic adenocarcinoma of the pancreas at five Canadian academic cancer centers (2014 - 2019) were reviewed. Prognostic variables including age, Charlson comorbidity index, ECOG, cigarette smoking, nodal status, sites of metastases, and first line chemotherapy were collected. Cox proportional hazards model (MVA) was used to examine the association between peritoneal involvement and survival, adjusted for measured confounders. Analyses were completed using SAS, where alpha of 0.05 was defined as the level of significance. Results: A total of 1161 patients were included. Metastatic sites included peritoneum (n = 170, 14.6%), lung (n = 145, 12.5%) and liver (n = 563, 48.5%). Patients with PM received first-line FOLFIRINOX (FFX, n = 31), Gemcitabine + nab-paclitaxel (G/N, n = 20), Gemcitabine (G, n = 18), and no treatment (n = 97). In univariate analyses, worse ECOG PS was associated with PM (p = 0.002). The majority of patients died (89%), with a median overall survival (OS) of 3 vs 7 months for patients with PM and those without PM (p < 0.001), respectively. The median OS in patient whom receive first-line chemotherapy was 7 months in FFX group (95% CI 1.66-12.33), 6 months in G/N (95% CI 4.54-7.45) and 2 months in G group (95% CI 1.42-2.57). Patients had significantly better OS when treated with FFX or G/N compared to G alone (p = 0.002). Time to treatment failure was significantly shorter among patient treated with G alone compare to patients treated with FFX and G/N (P < 0.005). Conclusions: In the setting of combination chemotherapy for advanced pancreatic cancer, patients with PM continue to have a poor prognosis. This may be due to the impact of PM on PS and the inability to administer palliative chemotherapy. For eligible patients, FFX or G/N results in a higher OS than G monotherapy.

Prognostic factors for overall survival with sunitinib as first-line therapy in patients with metastatic renal cell carcinoma (mRCC)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 5042-5042
Author(s):  
S. Patil ◽  
R. A. Figlin ◽  
T. E. Hutson ◽  
M. D. Michaelson ◽  
S. Négrier ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Type I ◽  
First Line

5042 Background: Sunitinib demonstrated superior progression-free survival (PFS; the primary endpoint) over interferon-alfa (IFN-α) as first-line mRCC therapy (NEJM 2007;356:115). Median overall survival (OS) with sunitinib compared to IFN-α was: 26.4 vs. 21.8 months (HR=0.821; P=0.051 by unstratified log-rank test; Proc ASCO 2008;26, May 20 suppl; abstr 5024). An analysis of prognostic factors for OS was performed on data from this trial. Methods: 750 treatment-naïve mRCC patients were randomized 1:1 to receive sunitinib or IFN-α. By Cox proportional hazards model, selected pretreatment variables were evaluated univariately and in a multivariate model for each treatment arm. Multivariate models for each treatment arm were based on a stepwise algorithm with a type I error of 0.25 for entry and 0.15 for elimination. Further elimination was applied to identify variables significant at P<0.05. Results: In multivariate analysis of sunitinib patients, factors associated with longer OS include: interval from diagnosis to treatment ≥1 yr, ECOG PS of 0, lower corrected calcium, absence of bone metastases, lower lactic dehydrogenase (LDH), and higher hemoglobin (Hgb) ( table ). For the IFN-α treatment arm, male gender, absence of bone or lymph node metastases, lower LDH, higher Hgb, lower corrected calcium, higher neutrophil count, and interval from diagnosis to treatment ≥1 yr were associated with longer OS. Conclusions: For patients in the sunitinib treatment arm, prognostic factors identified were similar to the factors previously identified in the MSKCC risk groups (J Clin Oncol 2002;20:289). Additional prognostic factors were identified for the IFN-α arm. Further studies are warranted to independently validate these findings as well as to identify tumor-specific prognostic factors. [Table: see text] [Table: see text]

Association of morphologic response with progression free survival in patients with metastatic colorectal cancer treated with bevacizumab-based chemotherapy: HGCSG0802.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 743-743
Author(s):  
Satoshi Yuki ◽  
Hiroshi Nakatsumi ◽  
Hideyuki Hayashi ◽  
Hiraku Fukushima ◽  
Takashi Kato ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Progression Free Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
First Line ◽  
Free Survival ◽  
Contrast Enhanced Ct ◽  
Morphologic Response

743 Background: It was reported that an optimal morphologic response to preoperative chemotherapy was associated with better overall survival (OS) in patients (pts) with colorectal liver metastases (CLM). We investigated association of morphologic response with progression free survival (PFS) in pts with unresectable CLM from HGCSG0802 observational cohort study in pts with mCRC treated with first-line bevacizumab (BV)-based chemotherapy. Methods: The objective of HGCSG0802 was to evaluate PFS, OS, time to treatment failure (TTF), response rate (RR), safety, etc. The key eligibility criteria were evaluable lesions, older than 20 years old, ECOG PS 0-2. Pts with CLM underwent contrast-enhanced CT at the start and every 8-weeks of BV-based chemotherapy. In this analysis, three blinded, independent radiologists evaluated images for morphologic response, based on metastases changing from heterogeneous masses with ill-defined margins into homogeneous hypoattenuating lesions with sharp borders. Association of morphologic response and pts characteristics, RR, and PFS were evaluated. PFS was analyzed with Kaplan-Meier method, log-rank test, and Cox proportional hazards model. Results: Of 108 pts (the full analysis set), 73 pts with CLM were evaluable for morphologic criteria. Eighteen pts (24.7%) had optimal morphologic response (OR), 31 (42.5%) had incomplete (IR), and 24 (32.9%) had no response (NR). The pts characteristics between those with OR, IR and NR were generally balanced. The median TTF was 7.2 months in NR versus 7.2 months in IR versus 6.8 months in OR (HR (OR/NR) = 0.91, HR (OR/IR) = 0.90; p = 0.93). RR was 77.8% in OR versus 64.5% in IR and 58.3% in NR (p = 0.528). The median PFS was 8.3 months in NR versus 8.5 months in IR versus 9.1 months in OR (HR (OR/NR) = 0.72, HR (OR/IR) = 1.04; p = 0.420). Conclusions: In this analysis, morphologic response might not be a prognostic marker in first-line BV-based chemotherapy in pts with CLM.

Treatment-free survival (TFS) after discontinuation of first-line nivolumab (NIVO) plus ipilimumab (IPI) or sunitinib (SUN) in intention-to-treat (ITT) and IMDC favorable-risk patients (pts) with advanced renal cell carcinoma (aRCC) from CheckMate 214.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 564-564 ◽  
Author(s):  
David F. McDermott ◽  
Brian I. Rini ◽  
Robert J. Motzer ◽  
Nizar M. Tannir ◽  
Bernard Escudier ◽  
...  
Keyword(s):  
Risk Groups ◽  
First Line ◽  
Free Survival ◽  
Intention To Treat ◽  
Poor Risk ◽  
First Line Therapy ◽  
Line Therapy ◽  
Kaplan Meier ◽  
Risk Patients ◽  
Clinical Trial Information

564 Background: TFS characterizes the antitumor activity of immuno-oncology agents after treatment discontinuation. In CheckMate 214, pts with IMDC intermediate/poor-risk aRCC who discontinued first-line NIVO+IPI experienced significantly longer TFS than those who discontinued SUN (McDermott et al, ESMO 2018). Here, we continue the analysis of TFS from CheckMate 214 in ITT and IMDC favorable-risk pts. Methods: Pts with previously untreated, predominantly clear cell aRCC were randomized 1:1 to intravenous NIVO 3 mg/kg + IPI 1 mg/kg every 3 weeks for 4 doses followed by NIVO 3 mg/kg every 2 weeks, or oral SUN 50 mg daily for 4 weeks on, 2 weeks off (6-week cycles). TFS was defined as the time from protocol therapy cessation to the start of subsequent systemic anticancer therapy or death, whichever occurred first. TFS in pts who discontinued NIVO+IPI or SUN was compared using Kaplan–Meier methods and log-rank tests. This analysis was conducted for all ITT (NIVO+IPI, 550; SUN, 546) and IMDC favorable-risk (NIVO+IPI, 125; SUN, 124) pts in CheckMate 214. Results: Among 463 NIVO+IPI and 477 SUN ITT pts who discontinued protocol therapy, the median TFS was 3.0 months with NIVO+IPI vs 1.3 months with SUN (HR [95% CI]; 0.54 [0.46–0.62]; P<0.0001); the TFS rates 2 years post-discontinuation were 21% vs 7%, respectively. In IMDC favorable-risk pts, 111 and 94 pts discontinued from NIVO+IPI and SUN, respectively. TFS in IMDC favorable-risk pts was also significantly longer with NIVO+IPI vs SUN (median, 6.3 vs 1.1 months; HR [95% CI]; 0.47 [0.34–0.65]; P<0.0001). The TFS rates 2 years post-discontinuation in favorable-risk pts were 29% for NIVO+IPI vs 13% for SUN. Conclusions: Similar to the TFS benefit seen in intermediate/poor-risk pts with aRCC, first-line therapy with NIVO+IPI resulted in reduced need for second-line therapy in ITT and IMDC favorable-risk pts compared with SUN. The durable TFS benefit across risk groups despite discontinuation of therapy provides further evidence of the encouraging benefit-risk profile of NIVO+IPI over SUN in pts with previously untreated aRCC. Clinical trial information: NCT02231749.

Development and validation of a pediatric disease risk index for allogeneic hematopoietic cell transplantation.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 7503-7503
Author(s):  
Muna Qayed ◽  
Carrie L Kitko ◽  
Kwang Woo Ahn ◽  
Mariam H Johnson ◽  
Kirk R. Schultz ◽  
...  
Keyword(s):  
High Risk ◽  
Hematopoietic Cell Transplantation ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Disease Risk ◽  
Risk Index ◽  
Risk Groups ◽  
The United States ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model

7503 Background: Characteristics such as disease, disease status and cytogenetic abnormalities impact relapse and survival after transplantation for acute myeloid (AML) and acute lymphoblastic (ALL) leukemia. In adults, these attributes were used to derive the disease risk index for survival. Thus, the current analysis sought to develop and validate a pediatric disease risk index (p-DRI). Methods: Eligible were patients aged <18 years with AML (n=1135) and ALL (n=1228) transplanted between 2008 and 2017 in the United States. Separate analyses were performed for AML and ALL. Patients were randomly assigned (1:1) to a training and validation cohort. Cox proportional hazards model with stepwise selection was used to select significant variables (2-sided p<0.05). The primary outcome was leukemia-free survival (LFS; relapse or death were events). Based on the magnitude of log(HR), a weighted score was assigned to each characteristic that met the level of significance and risk groups were created. Results: Four risk groups were identified for AML and three risk groups for ALL (Table). The 5-year probabilities of LFS for AML were 81% (68-91), 56% (51-61), 44% (39-49) and 21% (15-28) for good, intermediate, high and very high-risk groups, respectively. The 5-year probabilities of LFS for ALL were 68% (63-72), 50% (45-54) and 15% (3-34) for good, intermediate, high risk groups, respectively. Conclusions: This validated p-DRI successfully stratified children with AML and ALL for prognostication undergoing allogeneic transplantation. [Table: see text]

Comorbidities and Overall Survival In Myelodysplastic Syndromes (MDS): Development of a Prognostic Model Incorporating IPSS and Age with ACE-27 Comorbidity Index

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 605-605 ◽  
Author(s):  
Kiran Naqvi ◽  
Maria E Suarez-Almazor ◽  
Sagar Sardesai ◽  
Jeong Oh ◽  
Carlos Vigil ◽  
...  
Keyword(s):  
Median Survival ◽  
Prognostic Model ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Risk Group ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Kaplan Meier ◽  
Comorbidity Scores

Abstract Abstract 605 Background: Cancer patients often experience comorbidities that may affect their therapeutic options, prognosis, and outcome. Limited studies have evaluated the characteristics and impact of comorbidities in MDS. The aim of this study was to determine the effect of comorbidities on the survival of patients with MDS. Methods: We reviewed the medical records of 600 consecutive MDS patients who presented to MD Anderson Cancer Center from 01–2002 to 06–2004. The Adult Comorbidity Evaluation-27 (ACE-27), a validated 27-item comorbidity index for cancer patients, was used to assess the severity of comorbid conditions. Data on demographic characteristics, International Prognostic Scoring System (IPSS), stem cell transplant (SCT) and outcomes (leukemic transformation and survival) was collected. Kaplan-Meier methods and log-rank tests were used to assess survival. Multivariate analysis was performed using the Cox Proportional Hazards Model. A prognostic model incorporating baseline comorbidities with age and IPSS was developed to predict survival. A score point for each significant factor (age, IPSS and ACE-27 comorbidity score) was obtained by dividing respective coefficients from the multivariate model by 0.3 and rounding to the nearest integer. Results: Of the 600 patients included in this study, 400 (65.7%) were male, and 518 (87.1%) were white; median age at presentation was 66.6 years (range 17.3 – 93.5); median duration of follow-up was 14.8 months (range 0–88). The ACE-27 comorbidity scores were as follows: none, 137 patients (28.8%); mild, 254 (42.3%); moderate, 127 (21.2%); and severe, 82 (13.7%). Four hundred and fifty six (76.0%) patients died, 123 (20.5%) suffered leukemic transformation and 51 (8.5%) patients underwent SCT. Overall median survival using the Kaplan-Meier method was 18.6 months. Median survival according to ACE-27 scores was: 31.8, 16.8, 15.2 and 9.7 months for none, mild, moderate and severe comorbidity scores respectively (p < 0.0001). The adjusted hazards ratios from the multivariate Cox Proportional Hazards Model were 1.3, 1.6 and 2.3 for mild, moderate and severe comorbidity scores when adjusted for age and IPSS (p < 0.0001). A final prognostic model incorporating comorbidity score with age and IPSS was developed. A risk score was derived based on the regression coefficients from the final multivariate model. The score points assigned were: Age > 65 years=2; IPSS of Intermediate-2= 2 and High= 3; ACE-27 score of mild or moderate= 1 and Severe= 3. Based upon their risk scores, patients were categorized into 3 groups: low (0 - 1), intermediate (2 - 4) and high (5 – 8). Almost 50% of the patients in our study were noted to be in the intermediate category with a median survival of 23 months. The model confirmed a better survival in patients in low risk group of 43 months versus 9 months in the high risk group (p < 0.001). Conclusion: Comorbidities had a significant impact on the survival of patients with myelodysplastic syndrome. Patients with higher ACE-27 comorbidity scores had a shorter survival than those with no comorbidity, independent of their age and the IPSS risk group. A comprehensive assessment of comorbidity is therefore needed to determine the prognosis in patients with MDS. Our newly developed prognostic model helps predict survival in such patients based on their comorbidities. Disclosures: No relevant conflicts of interest to declare.

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