Literature DB >> 24600236

Clinical impact of targeted therapies in patients with metastatic clear-cell renal cell carcinoma.

Virginie Nerich1, Marion Hugues2, Marie Justine Paillard3, Laëtitia Borowski2, Thierry Nai2, Ulrich Stein3, Thierry Nguyen Tan Hon3, Philippe Montcuquet3, Tristan Maurina3, Guillaume Mouillet3, François Kleinclauss4, Xavier Pivot5, Samuel Limat1, Antoine Thiery-Vuillemin5.   

Abstract

INTRODUCTION: The aim of this retrospective clinical study was to assess, in the context of the recent evolution of systemic therapies, the potential effect of targeted therapies on overall survival (OS) of patients with metastatic clear-cell renal cell carcinoma (mccRCC) in daily practice. PATIENTS AND METHODS: All consecutive patients with histologically confirmed mccRCC who received systemic therapy between January 2000 and December 2010 in two oncology treatment centers in our Franche-Comté region in eastern France were included in the analysis. The primary end point was OS. The analysis of prognostic factors was performed using a two-step approach: univariate then multivariate analysis with a stepwise Cox proportional hazards regression model.
RESULTS: For the entire cohort of 111 patients, the median OS was 17 months (95% confidence interval [CI]; 13-22 months) and the two-year OS was 39%. Three prognostic factors were independent predictors of long survival: prior nephrectomy (hazard ratio =0.38 [0.22-0.64], P<0.0001); systemic therapy by targeted therapy (hazard ratio =0.50 [0.31-0.80], P=0.005); and lack of liver metastasis (hazard ratio =0.43 [0.22-0.82], P=0.002). Median OS was 21 months [14-29 months] for patients who received at least one targeted therapy compared with 12 months [7-15 months] for patients who were treated only by immunotherapy agents (P=0.003).
CONCLUSION: Our results suggest that targeted therapies are associated with improved OS in comparison with cytokines, which is in line with other publications.

Entities:  

Keywords:  angiogenesis; immunotherapy; mTOR; metastatic renal cell carcinoma; survival; targeted therapy

Year:  2014        PMID: 24600236      PMCID: PMC3942215          DOI: 10.2147/OTT.S56370

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Renal cell cancer (RCC) represents 3% of all newly diagnosed cancers, with 11,080 cases, causing 3,840 deaths (2.6% of all cancers), in France in 2011.1 Among urologic cancers, it is the third most frequent after prostate and bladder cancers.2 Clear-cell carcinomas account for roughly 75%–80% of RCC and are associated with a worse prognosis than papillary or chromophobe histology.3,4 Other factors are associated with poor prognosis and may increase the risk of disease recurrence, ie, advanced tumor stage, positive regional node involvement, high Fuhrman nuclear grade, presence of tumor necrosis, presence of microvascular invasion, and poor performance status.5–8 Surgical resection of the primary renal tumor is the current standard treatment for localized or locally advanced RCC.5–9 Despite nephrectomy, recurrence of cancer with distant metastases occurs in approximately 20%–40% of patients.10 Approximately 25% of patients with RCCs present with metastatic disease at initial diagnosis.11 Even with metastases, nephrectomy may be part of standard treatment.11,12 Management of metastatic clear-cell renal cell carcinoma (mccRCC) has undergone a transformation in the last decade. Novel targeted therapies have considerably expanded the number of treatment options for this indication. Previously, systemic treatment was limited to cytokine therapies with interleukin-2 or interferon-α as mccRCC is largely resistant to chemotherapy.13 One exciting development in mccRCC research has been a better understanding of the molecular pathogenesis of clear-cell renal cell carcinoma. It involves inactivation of the von Hippel–Lindau (VHL) tumor suppressor gene. Normally, VHL encodes a protein that is a component of a ligase for the hypoxia-inducible factor. During VHL inactivation, hypoxia-inducible factor upregulates the transcription of multiple hypoxia-inducible genes, including those that promote angiogenesis and cellular proliferation.14,15 Tyrosine kinase receptors and their ligands have been shown to play an important role in tumor growth and angiogenesis. Inhibition of vascular endothelial growth factor (VEGF) signaling through the use of antibodies or VEGFR antagonists has demonstrated potent antitumor effects that might be used to circumvent resistance to classical anticancer agents.16 Besides, other non-VHL pathways may affect the development of RCC; for example, abnormal functioning of the mammalian target of rapamycin (mTOR) pathway.17 So far, seven targeted therapies (through inhibition of angiogenesis or the mTOR pathway) have been evaluated in randomized controlled Phase III clinical trials of patients with mccRCC and, subsequently, approved by regulatory authorities.18–24 These targeted agents have revolutionized the treatment of mccRCC and have largely surpassed immunotherapy as the first-line standard of care. This recent evolution of mccRCC systemic management justifies the aim of our study, which was to assess, in daily practice, the impact of targeted therapies on overall survival (OS) of patients with mccRCC in comparison with more classical immunotherapy. In order to do this, the prognostic factors of OS were sought using a two-step approach. The secondary aim of this study was to assess first-line systemic therapy time to treatment failure (TTF) and the impact of its duration on OS.

Patients and methods

Patients and treatment

From January 2000 to December 2010, all consecutive patients with histologically confirmed mccRCC who received systemic therapy in two main oncology treatment centers of our region (University Hospital and Polyclinique of Franche-Comté of Besançon) were included in the analysis. They were identified on the basis of BPC® software (University Hospital, Besançon, France), a computerized physician order entry system. This software is capable of tracking injectable and oral chemotherapy and targeted therapy prescriptions according to the tumor. Baseline demographics, clinical history, laboratory findings, and treatments were retrospectively collected according to the medical records and BPC software. Two cohorts of patients were defined according to their systemic therapies: “targeted therapy” cohort, including patients who received at least one targeted therapy, ie, antiangiogenic (sunitinib, bevacizumab, sorafenib) or mTOR inhibitor (everolimus, temsirolimus); “immunotherapy” cohort, including patients who were treated by immunotherapy, ie, interleukin-2 or interferon-α, without targeted therapy. Patients were classified according to Memorial Sloan-Kettering Cancer Center (MSKCC) prognostic risk as favorable risk group (zero risk factor), intermediate risk group (one or two risk factors), and poor risk group (three or more risk factors).25,26 The risk factors included: interval less than 1 year between the date of diagnosis to the start of systemic therapy; low performance status with Karnofsky performance status <80%; an elevated serum lactate dehydrogenase (1.5 times the upper limit of normal); a high corrected serum calcium level (greater than the upper limit of normal); and anemia (hemoglobin level at the lower limit of normal).

Setting

Besançon University Hospital is the referent regional center in cancerology for the Franche-Comté region in eastern France (1.2 million of habitants). In 2012, in our region, 6,437 patients with cancer (138 patients with RCC) had been treated by systemic therapy (chemotherapy and/or targeted therapy), ie, 3,793 patients in University hospital or in Polyclinique de Franche-Comté (89 patients with RCC).

Response assessments

Clinical benefit and toxicity of the systemic therapies were evaluated by the oncologist at each visit. Imaging assessments of treatment efficacy were performed according to the metastatic sites by bone scan, computerized tomography, magnetic resonance imaging, positron emission tomography, or ultrasonography.

Primary endpoint

The primary endpoint was OS, defined as the time from initiation of first-line systemic therapy to death from any cause or to last follow-up for survivors. Patients alive on August 31, 2012, were censored. Median OS with its 95% confidence interval (CI) and two-year OS were calculated using the Kaplan–Meier method. Several potential prognostic factors were studied to determine their impact on OS. They included: patient characteristics (age: <60 years versus ≥60 years, <65 years versus ≥65 years, <70 years versus ≥70 years; sex: male versus female) prior nephrectomy (yes versus no) metastases: at presentation (yes versus no); ≥ two metastatic sites (yes versus no); lung metastasis (yes versus no); bone metastasis (yes versus no); lymph node metastasis (yes versus no); liver metastasis (yes versus no); other metastasis (yes versus no) metastasectomy (yes versus no) systemic therapy (targeted therapy versus immunotherapy) The analyses of prognostic factors were performed using a two-step approach. Firstly, the association of potential prognostic factors with OS was examined by univariate analysis, using the logrank test. Quantitative and qualitative variables were transformed, whenever possible, into dichotomic variables using different successive cutoff points. Secondly, all variables with a P-value <0.15 in univariate analysis were entered in a stepwise Cox proportional hazards regression model. The results of univariate and multivariate analyses are presented with hazard ratio, 95% CI, and P-value. One potential prognostic factor, MSKCC risk group (and its risk factors), was not included in these analyses because data for more than 10% of patients was lacking. However, descriptive analyses of OS were performed.

Secondary endpoints

The secondary endpoints were first-line systemic therapy TTF and the impact of its duration on OS. TTF was defined as the time from initiation of systemic therapy to the date of disease progression (ie, the date of the visit with the oncologist who confirmed the progression), start of a new line of systemic therapy treatment, or death by any cause. Patients remaining on treatment at the time of analysis were censored. TTF was analyzed using the Kaplan–Meier method.

Statistical analysis

Between our two cohorts, qualitative and quantitative variables were respectively compared by Fisher’s exact test or chi-square test and nonparametric Mann–Whitney test. Continuous variables were described by mean ± standard deviation and median (first quartile–third quartile), and qualitative variables by the size and percent rate. All tests were two-tailed and significant at an alpha threshold of 5% (P-value). Statistical analysis was performed with SAS® software version 9.3 (SAS Institute Inc, Cary, NC, USA).

Results

Patient population

From January 2000 to December 2010, a total of 111 patients with mccRCC received systemic therapy. Only 28 patients (25%), making up the “immunotherapy” cohort, were given immunotherapy, and the other 83 patients (75%) were included in the “targeted therapy” cohort. Patient characteristics at presentation and at metastatic diagnosis are presented in Table 1. The two cohorts were similar, except for the age of patients at metastatic diagnosis (mean age of 65±11 years for patients of the “targeted therapy” cohort compared with 59±11 years for patients of the “immunotherapy” cohort [P=0.02]). Approximately 80% of patients had undergone a prior nephrectomy, 20% were favorable MSKCC risk group, and 64% were metastatic at diagnosis. Among them, 66 patients (59%) had one metastatic site. The most common sites of metastases were the lungs (in 63% of patients), bone (in 26% of patients), lymph nodes (in 18% of patients), liver (in 15% of patients), and other sites (in 32% of patients).
Table 1

Demographic and baseline disease characteristics of patients at initial and metastatic diagnoses

Entire cohort n=111“Immunotherapy” cohort n=28“Targeted therapy” cohort n=83P-value
At presentation
Age, years0.07
Mean ± SD61±1257±1162±11
Median (range)61 (26–88)60 (36–73)63 (26–88)
 <60, n (%)46 (41)13 (46)33 (40)0.66
 <65, n (%)69 (62)20 (71)49 (59)0.27
 <70, n (%)83 (75)23 (82)60 (72)0.45
Sex, n (%)0.10
 Male76 (69)23 (82)53 (64)
 Female35 (31)5 (18)30 (36)
Prior nephrectomy, n (%)89 (80)22 (79)67 (81)0.79
Metastases, n (%)71 (64)18 (64)53 (64)1.00
At metastatic diagnosis
Age, years0.02
Mean ± SD63±1259±1165±11
Median (range)63 (27–88)61 (36–75)64 (27–88)
 <60, n (%)41 (37)13 (46)28 (34)0.26
 <65, n (%)61 (55)18 (64)43 (52)0.28
 <70, n (%)74 (66)22 (79)52 (63)0.17
MSKCC risk group, n (%)*0.77
 Favorable22 (23)4 (20)18 (24)
 Intermediate66 (70)16 (80)50 (68)
 Poor6 (7)0 (0)6 (8)
Interval less than 1 year between the date of diagnosis to the start of systemic therapy, n (%)75 (68)17 (61)58 (70)0.48
Karnofsky performance status <80%*, n (%)11 (12)3 (15)8 (11)0.70
LDH level >1.5 ULN*, n (%)1 (1)0 (0)1 (1)0.60
Corrected calcium level > ULN,* n (%)7 (8)0 (0)7 (10)0.34
Anemia, n (%)16 (17)2 (10)14 (19)0.51
Number of metastases, n (%)0.06
 Mean ± SD1.5±0.81.7±0.81.5±0.8
 Median (range)1 (1–5)2 (1–4)1 (1–5)
 ≥2 metastatic sites, n (%)45 (41)16 (57)29 (35)0.05
Lung metastasis, n (%)70 (63)21 (75)49 (59)0.18
Bone metastasis, n (%)29 (26)8 (29)21 (25)0.80
Lymph node metastasis, n (%)20 (18)4 (14)16 (19)0.78
Liver metastasis, n (%)17 (15)4 (14)13 (16)0.86
Other metastasis, n (%)35 (32)10 (36)25 (30)0.64
Metastasectomy, n (%)23 (21)5 (18)18 (22)0.79

Note:

Lack of data.

Abbreviations: LDH, lactate dehydrogenase; MSKCC, Memorial Sloan-Kettering Cancer Center; SD, standard deviation; ULN, upper limit of normal.

Follow-up and treatment

For the entire cohort of 111 patients, the mean follow-up time after treatment initiation was 23±19 months (median: 17 months [7–31 months]). The median of treatment lines also differs between the two cohorts: three (two to four) for patients of the “targeted therapy” cohort (first-line systemic therapy with antiangiogenic [80%], mTOR inhibitor [12%]) compared with one (one to two) for the “immunotherapy” cohort (first-line systemic therapy with immunotherapy [86%] or immunotherapy plus chemotherapy [3%]) (P<0.0001). Tables 2 and 3 present the systemic therapy according to the line-treatment for “immunotherapy” cohort and “targeted therapy” cohort, respectively.
Table 2

Systemic therapy according to the line-treatment for “immunotherapy” cohort

Metastatic line-treatmentNumber of patients (%)Systemic treatment
ImmunotherapyaImmunotherapy plus chemotherapybChemotherapyc
128 (100)24 (86)1 (3)3 (11)
212 (100)3 (25)/9 (75)
34 (100)//4 (100)
42 (100)//2 (100)

Notes:

Interleukin-2 plus interferon-α

interferon-α plus vinblastine

vinblastine or dacarbazine or FOLFOX or gemcitabine or fluorouracil.

Table 3

Systemic therapy according to the line-treatment for “targeted therapy” cohort

Metastatic line-treatmentNumber of patients (%)Systemic treatment
AntiangiogenicamTOR inhibitorbImmunotherapycChemotherapyd
183 (100)66 (80)10 (12)6 (7)1 (1)
269 (100)31 (45)37 (54)/1 (1)
347 (100)31 (66)14 (30)1 (2)1 (2)
423 (100)12 (52)7 (31)1 (4)3 (13)
57 (100)2 (28)//5 (72)
63 (100)/2 (67)1 (33)/
71 (100)///1 (100)

Notes:

Sunitinib or sorafenib or bevacizumab ± interferon-α

temsirolimus or everolimus

interleukin-2

vinblastine or cyclophosphamide or gemcitabine.

Abbreviation: mTOR, mammalian target of rapamycin.

Overall survival

Out of 111 patients of the entire cohort, a total of 91 patients died. Median OS was 17 months (95% CI: [13–22 months]) and the two-year OS was 39% (Figure 1A).
Figure 1

Kaplan–Meier estimates of overall survival.

Notes: (A) OS for the entire cohort. (B) OS according to the systemic therapy: “targeted therapy” (in red) versus “immunotherapy” (in blue). (C) OS according to prior nephrectomy: yes (in red) versus no (in blue). (D) OS according to the first-line systemic therapy time to treatment failure: <6 months (in blue) versus ≥6 months (in red).

Abbreviations: CI, confidence interval; OS, overall survival.

Univariate analysis indicated that seven potential prognostic factors were significantly associated with longer OS: prior nephrectomy (P<0.0001); lack of liver metastasis (P=0.0007); systemic therapy by targeted therapy (P=0.003); lack of metastasis at presentation (P=0.006); lack of lung metastasis (P=0.08); one metastatic site (P=0.02); and presence of lymph node metastasis (P=0.13) (Table 4). Median OS was 21 months (14–29 months) for patients of the “targeted therapy” cohort compared with 12 months (7–15 months) for patients of the “immunotherapy” cohort (hazard ratio =0.52 [0.33–0.81], P=0.003) (Figure 1B). Median OS was 21 months (16–29 months) for patients with prior nephrectomy compared with 8 months (4–12 months) for patients without prior nephrectomy (hazard ratio =0.32 [0.19–0.53], P<0.0001) (Figure 1C). All 40 patients without metastasis at presentation had undergone a prior nephrectomy. Median OS was estimated at 25 months (18–44 months). Patients with metastasis at presentation and who had undergone nephrectomy (n=49) had a median OS of 18 months (9–29 months) compared to patients without nephrectomy (n=22) who had a median OS of 8 months (4–12 months) (hazard ratio =0.43 [0.25–0.74], P=0.002).
Table 4

Univariate analysis of potential prognostic factors of overall survival

Potential prognostic factorsNumber of patients
Median OS (months) with 95% CIHazard ratio with 95% CIP-value
DiedTotal
Sex0.25
 Male627616 (12–21)1.30 (0.83–2.05)
 Female293529 (12–38)
Prior nephrectomy<0.0001
 Yes698921 (16–29)0.32 (0.19–0.53)
 No22228 (4–12)
Age at metastatic diagnosis, years0.93
 <60354116 (11–29)0.98 (0.64–1.50)
 ≥60567017 (12–24)
 <65516116 (11–25)1.09 (0.72–1.66)0.68
 ≥65405017 (12–29)
 <70607417 (12–25)0.93 (0.60–1.45)0.76
 ≥70313717 (12–24)
Metastasis at presentation0.006
 Yes617112 (8–17)1.85 (1.19–2.89)
 No304025 (18–44)
≥2 metastatic sites at diagnosis0.02
 Yes404512 (7–20)1.63 (1.07–2.48)
 No516621 (14–29)
Lung metastasis0.08
 Yes577015 (10–20)1.47 (0.95–2.29)
 No344121 (13–38)
Bone metastasis0.76
 Yes252917 (8–38)0.93 (0.58–1.49)
 No668217 (13–21)
Lymph node metastasis0.13
 Yes152029 (7–44)0.65 (0.36–1.14)
 No769115 (12–20)
Liver metastasis0.0007
 Yes16177 (3–17)2.52 (1.45–4.39)
 No759421 (14–29)
Metastasectomy0.51
 Yes182321 (11–31)0.84 (0.50–1.41)
 No738816 (12–22)
Systemic therapy0.003
 Targeted therapy638321 (14–29)0.52 (0.33–0.81)
 Immunotherapy282812 (7–15)

Abbreviations: CI, confidence interval; OS, overall survival.

In multivariate analysis, three prognostic factors were independent predictors of long survival: prior nephrectomy (hazard ratio =0.38 [0.22–0.64], P<0.0001); systemic therapy by targeted therapy (hazard ratio =0.50 [0.31–0.80], P=0.005); and lack of liver metastasis (hazard ratio =0.43 [0.22–0.82], P=0.002) (Table 5).
Table 5

Multivariate analysis of prognostic factors of overall survival

Prognostic factorsHazard ratio with 95% CIP-value
Prior nephrectomy0.38 (0.22–0.64)0.0001
Targeted systemic therapy0.50 (0.31–0.80)0.005
Lack of liver metastasis0.43 (0.22–0.82)0.002
Presence of lymph node metastasis0.72 (0.39–1.35)0.25
Lack of lung metastasis0.93 (0.56–1.55)0.73
One metastatic site0.96 (0.56–1.63)0.87

Abbreviation: CI, confidence interval.

Patients within a favorable MSKCC risk group had a median OS of 21 months (14–31 months) (16 deaths among 22 patients) compared to 14 months (10–20 months) for patients within an intermediate or poor MSKKC risk group (61 deaths among 72 people), but this difference was not statistically significant (hazard ratio =0.71 [0.41–1.23], P=0.22). Interestingly, all patients of the “targeted therapy” cohort, whatever the MSKKCC risk group, had longer survival than patients of the “immunotherapy” cohort (respectively, 22 months versus 12 months for favorable MSKCC risk group [P=0.0009] and 15 months versus 10 months for intermediate and poor MSKKC risk groups [P=0.04]) (Table 6).
Table 6

Overall survival according to MSKCC risk group and systemic therapy

Number of patients
Median OS (months) with 95% CIHazard ratio with 95% CIP-value
DiedTotal
Entire cohort9111117 (13–22)//
MSKCC risk group: favorable
Systemic therapy0.0009
 Targeted therapy121822 (17–44)0.13 (0.03–0.53)
 Immunotherapy4412 (4–15)
MSKCC risk group: intermediate and poor
Systemic therapy0.04
 Targeted therapy455615 (10–24)0.55 (0.31–0.98)
 Immunotherapy161610 (4–16)

Abbreviations: CI, confidence interval; MSKCC, Memorial Sloan-Kettering Cancer Center; OS, overall survival.

First-line systemic therapy TTF

Median first-line systemic therapy TTF for the entire cohort of 111 patients was 7 months (95% CI; [4–9 months]) and the 1-year TTF was 32% (Figure 2A). A total of 105 patients had progressed. Median first-line systemic therapy TTF was 8 months (6–12 months) for patients of the “targeted therapy” cohort compared with 3 months (2–4 months) for patients of the “immunotherapy” cohort (hazard ratio =0.60 [0.39–0.94], P=0.02) (Figure 2B).
Figure 2

Kaplan–Meier estimates of first-line systemic therapy TTF.

Notes: (A) TTF for the entire cohort. (B) TTF according to the systemic therapy: “targeted therapy” (in red) versus “immunotherapy” (in blue).

Abbreviations: CI, confidence interval; TTF, time to treatment failure.

Figure 1D shows the impact of first-line systemic therapy TTF on OS. The patients with first-line systemic therapy TTF ≥6 months (n=60, ie, 51/83 and 9/28 patients treated with targeted therapy and immunotherapy, respectively) had a median OS of 31 months (21–40 months) compared with patients with first-line therapy TTF <6 months (n=51) with a median OS of only 7 months (6–10 months) (hazard ratio =0.30 [0.19–0.46], P<0.0001).

Discussion

Novel therapies for mccRCC bring both new hope and new challenges. To date, large controlled studies have shown significant benefit in PFS or OS with seven targeted therapies: the antiangiogenic monoclonal antibody bevacizumab associated with interferon; the oral tyrosine kinase inhibitors sunitinib, sorafenib, pazopanib, and axitinib; and the mTOR inhibitors temsirolimus and everolimus.27 Schemas, such as the one presented in Figure 3, may also be used to determine the level of evidence available for targeted agents and immunologic approach in varied clinical settings.
Figure 3

Absolute differences in progression-free survival and overall survival in pivotal trials where immunotherapy and targeted therapies for mRCC were compared.

Abbreviations: INF, interferon-α; mRCC, metastatic renal cell carcinoma; MSKCC, Memorial Sloan-Kettering Cancer Center; OS, overall survival; PFS, progression-free survival; vs, versus.

Questioning the impact of targeted agents in patients with metastatic RCC has led us to assess the effectiveness of these drugs in pragmatic use without patient selection. Thus, all patients with mccRCC, treated over a 10-year period in two main oncology treatment centers of the Franche-Comté region were included in this retrospective study. Our population reflects classical distribution of metastatic sites with the lung, bone, lymph nodes, and liver as the most common sites.28 In daily clinical practice, an absolute difference of 9 months in median OS was observed for patients treated with at least one targeted therapy (“targeted therapy” cohort) compared with patients treated with immunotherapy without targeted therapy (“immunotherapy” cohort) (21 months [14–29 months] versus 12 months [7–15 months], respectively, P=0.003). This benefit was confirmed in multivariate analysis. Adjusted for the prior nephrectomy and lack of liver metastasis, the risk of death was reduced by half (hazard ratio = 0.50 [0.31–0.80], P=0.005). Interestingly, it seems that all patients, regardless of their MSKCC risk group, obtained survival benefits from the use of targeted agents (22 months versus 12 months within the favorable MSKCC risk group [P=0.0009] and 15 months versus 10 months within the intermediate and poor MSKKC risk groups [P=0.04]). However, this benefit seems to be higher for patients within the favorable MSKCC risk group. The benefit of prior nephrectomy on survival was confirmed for metastatic RCC at presentation or not, with a median OS of 21 months (16–29 months) versus 8 months (4–12 months) (hazard ratio =0.32 [0.19 – 0.53], P<0.0001). In metastatic RCC, two randomized trials showed a survival benefit for cytoreductive nephrectomy in selected patients before interferon therapy compared with interferon therapy alone.11,12 The combined analysis of the two trials then revealed median OS of 13.6 months (9.7–17.4 months) versus 7.8 months (5.9–9.7 months) (P=0.002) for nephrectomy over nonsurgery, respectively.11 However, the real impact of cytoreductive nephrectomy in this setting with targeted therapies available will be fully explored through the randomized Phase III CARMENA trial. In our study, one metastatic site was an independent predictor of short survival: liver metastasis (hazard ratio =2.33 [1.22–4.45], P=0.002). The negative impact of liver metastases on survival outcomes of patients treated with currently approved molecularly targeted agents has already been observed on another cohort of 2,027 patients from the International mRCC Database Consortium.29 Furthermore, in both this International mRCC Database Consortium cohort and another from the Beuselinck et al study, bone metastases were found to have a negative impact on survival.29,30 In our study, bone metastases have not been related to OS. Median first-line systemic therapy progression-free survival (PFS) was 8 months for the “targeted therapy” cohort patients. This finding could appear lower than the results published in Phase III clinical trials, but, looking at other data, it compares favorably with the published 9.4 months of median PFS and 18.7 months of median OS from a global expanded-access of sunitinib to 4,577 patients.31 As previously described by Seidel et al and Halabi et al, our study shows an impact of first-line systemic therapy PFS on OS with a cutoff at 6 months of PFS.32,33 The results of the present study need to be viewed within the context of a retrospective analysis, small sample size, and lack of some data. Some factors, such as time effect, could not be taken into account. However, three previous larger studies (one national, two others multicentric) confirmed a positive impact of targeted therapies on the survival outcomes of patients with mccRCC.34–36 Moreover, recent reports have raised the question of a potential immunomodulation of targeted therapy, and immunotherapy remains an important target in this setting.37,38

Conclusion

Despite limits in our study, but in line with other publications, our results suggest that targeted therapies are associated with improved overall survival in comparison with cytokines. In the context of rational decision making in health care, a major challenge is to provide cost-effectiveness data that are relevant to daily practice and which may be used to optimize the use of healthcare resources. A pharmacoeconomic study, commonly used to evaluate the health benefit of new treatments, would allow a more precise evaluation of targeted therapy effectiveness in the clear-cell renal cell carcinoma setting and on a larger scale.
  31 in total

1.  Nephrectomy followed by interferon alfa-2b compared with interferon alfa-2b alone for metastatic renal-cell cancer.

Authors:  R C Flanigan; S E Salmon; B A Blumenstein; S I Bearman; V Roy; P C McGrath; J R Caton; N Munshi; E D Crawford
Journal:  N Engl J Med       Date:  2001-12-06       Impact factor: 91.245

Review 2.  Safety profile of new anticancer drugs.

Authors:  Laura Mansi; Antoine Thiery-Vuillemin; Thierry Nguyen; Fernando Bazan; Fabien Calcagno; Julien Rocquain; Martin Demarchi; Cristian Villanueva; Tristan Maurina; Xavier Pivot
Journal:  Expert Opin Drug Saf       Date:  2010-03       Impact factor: 4.250

3.  Hypoxia-inducible factor determines sensitivity to inhibitors of mTOR in kidney cancer.

Authors:  George V Thomas; Chris Tran; Ingo K Mellinghoff; Derek S Welsbie; Emily Chan; Barbara Fueger; Johannes Czernin; Charles L Sawyers
Journal:  Nat Med       Date:  2005-12-11       Impact factor: 53.440

4.  Epidemiologic trends in renal cell carcinoma in the cytokine and post-cytokine eras: a registry analysis of 28,252 patients.

Authors:  Derek Shek; Benjamin Tomlinson; Monica Brown; Ann Brunson; Chong-Xian Pan; Primo N Lara
Journal:  Clin Genitourin Cancer       Date:  2012-02-28       Impact factor: 2.872

5.  Sorafenib in advanced clear-cell renal-cell carcinoma.

Authors:  Bernard Escudier; Tim Eisen; Walter M Stadler; Cezary Szczylik; Stéphane Oudard; Michael Siebels; Sylvie Negrier; Christine Chevreau; Ewa Solska; Apurva A Desai; Frédéric Rolland; Tomasz Demkow; Thomas E Hutson; Martin Gore; Scott Freeman; Brian Schwartz; Minghua Shan; Ronit Simantov; Ronald M Bukowski
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

6.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

7.  Radical nephrectomy plus interferon-alfa-based immunotherapy compared with interferon alfa alone in metastatic renal-cell carcinoma: a randomised trial.

Authors:  G H Mickisch; A Garin; H van Poppel; L de Prijck; R Sylvester
Journal:  Lancet       Date:  2001-09-22       Impact factor: 79.321

8.  [Renal cell carcinoma management and therapies in 2010].

Authors:  B Albouy; M Gross Goupil; B Escudier; C Massard
Journal:  Bull Cancer       Date:  2010       Impact factor: 1.276

Review 9.  Surveillance after radical or partial nephrectomy for localized renal cell carcinoma and management of recurrent disease.

Authors:  Nicolette K Janzen; Hyung L Kim; Robert A Figlin; Arie S Belldegrun
Journal:  Urol Clin North Am       Date:  2003-11       Impact factor: 2.241

10.  Effect of papillary and chromophobe cell type on disease-free survival after nephrectomy for renal cell carcinoma.

Authors:  Stephen D W Beck; Manish I Patel; Mark E Snyder; Michael W Kattan; Robert J Motzer; Victor E Reuter; Paul Russo
Journal:  Ann Surg Oncol       Date:  2004-01       Impact factor: 5.344

View more
  15 in total

1.  N6-methyladenosine-modified TRAF1 promotes sunitinib resistance by regulating apoptosis and angiogenesis in a METTL14-dependent manner in renal cell carcinoma.

Authors:  Yuanlei Chen; Zeyi Lu; Chao Qi; Chenhao Yu; Yang Li; Wang Huan; Ruyue Wang; Wenqin Luo; Danyang Shen; Lifeng Ding; Liangliang Ren; Haiyun Xie; Dingwei Xue; Mingchao Wang; Kangxin Ni; Liqun Xia; Jun Qian; Gonghui Li
Journal:  Mol Cancer       Date:  2022-05-10       Impact factor: 41.444

2.  Identification of miR-18a-5p as an oncogene and prognostic biomarker in RCC.

Authors:  Liang Zhou; Zuwei Li; Xiang Pan; Yulin Lai; Jing Quan; Liwen Zhao; Jinling Xu; Weijie Xu; Xin Guan; Hang Li; Shangqi Yang; Yaoting Gui; Yongqing Lai
Journal:  Am J Transl Res       Date:  2018-06-15       Impact factor: 4.060

3.  MicroRNA-138 suppresses cell proliferation and invasion of renal cell carcinoma by directly targeting SOX9.

Authors:  Bo Hu; Jianbo Wang; Xunbo Jin
Journal:  Oncol Lett       Date:  2017-10-10       Impact factor: 2.967

4.  Global and Targeted miRNA Expression Profiling in Clear Cell Renal Cell Carcinoma Tissues Potentially Links miR-155-5p and miR-210-3p to both Tumorigenesis and Recurrence.

Authors:  Jinhua Zhang; Yuanqing Ye; David W Chang; Shu-Hong Lin; Maosheng Huang; Nizar M Tannir; Surena Matin; Jose A Karam; Christopher G Wood; Zhi-Nan Chen; Xifeng Wu
Journal:  Am J Pathol       Date:  2018-09-08       Impact factor: 4.307

Review 5.  Resistance to Systemic Therapies in Clear Cell Renal Cell Carcinoma: Mechanisms and Management Strategies.

Authors:  Peter Makhov; Shreyas Joshi; Pooja Ghatalia; Alexander Kutikov; Robert G Uzzo; Vladimir M Kolenko
Journal:  Mol Cancer Ther       Date:  2018-07       Impact factor: 6.261

Review 6.  A challenging frontier - the genomics and therapeutics of nonclear cell renal cell carcinoma.

Authors:  Hiren V Patel; Arnav Srivastava; Ramaprasad Srinivasan; Eric A Singer
Journal:  Curr Opin Oncol       Date:  2021-05-01       Impact factor: 3.645

7.  Factors Associated With Palliative Intervention Utilization for Metastatic Renal Cell Carcinoma.

Authors:  Hiren V Patel; Sinae Kim; Arnav Srivastava; Brian M Shinder; Joshua Sterling; Biren Saraiya; Tina M Mayer; Saum Ghodoussipour; Thomas L Jang; Eric A Singer
Journal:  Clin Genitourin Cancer       Date:  2022-01-07       Impact factor: 3.121

8.  Oncometabolite L-2-hydroxyglurate directly induces vasculogenic mimicry through PHLDB2 in renal cell carcinoma.

Authors:  Huan Wang; Liya Wang; Qiming Zheng; Zeyi Lu; Yuanlei Chen; Danyang Shen; Dingwei Xue; Minxiao Jiang; Lifeng Ding; Jie Zhang; Haiyang Wu; Liqun Xia; Jun Qian; Gonghui Li; Jieyang Lu
Journal:  Int J Cancer       Date:  2021-01-15       Impact factor: 7.396

9.  Metabolic Understanding of the Genetic Dysregulation in the Tumor Microenvironment of Kidney Renal Clear Cell Carcinoma.

Authors:  Junwei Xie; Lingang Cui; Shaokang Pan; Dongwei Liu; Fengxun Liu; Zhangsuo Liu
Journal:  Dis Markers       Date:  2022-01-20       Impact factor: 3.434

10.  A Mitochondrial Dysfunction and Oxidative Stress Pathway-Based Prognostic Signature for Clear Cell Renal Cell Carcinoma.

Authors:  Yue Wu; Xi Zhang; Xian Wei; Huan Feng; Bintao Hu; Zhiyao Deng; Bo Liu; Yang Luan; Yajun Ruan; Xiaming Liu; Zhuo Liu; Jihong Liu; Tao Wang
Journal:  Oxid Med Cell Longev       Date:  2021-11-24       Impact factor: 6.543

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.