Literature DB >> 27748430

Evaluation of Novel Targeted Therapies in Aggressive Biology Sarcoma Patients after progression from US FDA approved Therapies.

Vivek Subbiah1,2, Kenneth R Hess3, Muhammad Rizwan Khawaja1, Michael J Wagner1, Chad Tang4, Aung Naing1, Siqing Fu1, Filip Janku1, Sarina Piha-Paul1, Apostolia M Tsimberidou1, Cynthia E Herzog2, Joseph A Ludwig5, Shreyaskumar Patel5, Vinod Ravi5, Robert S Benjamin5, Funda Meric-Bernstam1, David S Hong1.   

Abstract

Prognosis of patients with advanced sarcoma after progression from FDA approved therapies remains grim. In this study, clinical outcomes of 100 patients with advanced sarcoma who received treatment on novel targeted therapy trials were evaluated. Outcomes of interest included best response, clinical benefit rate, progression-free survival (PFS) and overall survival (OS). Median patient age was 48 years (range 14-80). Patients had received a median of 2 prior lines of systemic treatment. Phase I treatments were anti-VEGF-based (n = 45), mTOR inhibitor-based (n = 15), and anti-VEGF + mTOR inhibitor-based (n = 17) or involved other targets (n = 23). Best responses included partial response (n = 4) and stable disease (n = 57). Clinical benefit rate was 36% (95% confidence interval 27-46%). Median OS was 9.6 months (95% Confidence Interval 8.1-14.2); median PFS was 3.5 months (95% Confidence Interval 2.4-4.7). RMH prognostic score of 2 or 3 was associated with lower median OS (log-rank p-value < 0.0001) and PFS (log-rank p-value 0.0081). Receiving cytotoxic chemotherapy as part of phase I trial was also associated with shorter median OS (log-rank p-value 0.039). Patients with advanced sarcoma treated on phase I clinical trials had a clinical benefit rate of 36% and RMH score predicted survival.

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Year:  2016        PMID: 27748430      PMCID: PMC5066200          DOI: 10.1038/srep35448

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Sarcoma accounts for only 0.9% of adult and 12% of childhood malignancies, with approximately 13,000 adult and 1,100 pediatric cases annually in the United States12. Sarcomas constitute a diverse class of molecularly distinct mesenchymal neoplasms of more than 50 subtypes3. Challenged by its rarity, heterogeneity, wide age range (straddling adult and pediatric oncology), complexity in chemotherapy and controversies, progress in systemic treatment for sarcoma has been relatively slow4. For the sake of simplicity, sarcomas can be grouped into two major categories either by location (e.g., bone vs. soft tissue sarcoma) or by presence or absence of genomic translocations that characterize one-third of sarcoma subtypes56. The era of ‘-omics’ has helped reveal the complex biology of several sarcoma subtypes in terms of signaling pathways and molecular aberrations, thereby offering novel approaches to treatment by targeting aberrant pathways7. Successful targeting of activating mutations in the KIT receptor tyrosine kinase with imatinib mesylate for gastrointestinal stromal tumor (GIST) illustrates how this approach can potentially change outcomes even for notoriously chemotherapy-resistant sarcoma subtypes89. Sarcomas, especially those associated with a known translocation or those expressing a specific receptor, may be amenable to this approach with potentially exciting results. Although many preclinical studies with novel agents for sarcoma have shown promising results, the translation to bedside has been difficult given the rarity and diversity among sarcoma subtypes101112. Conversely, clinical evaluation of investigational targeted agents for treatment of sarcoma may lead us to new pathways involved in sarcomagenesis111314. Phase I trials represent the most critical step in translation from bench to bedside15. Insulin-like growth factor type 1 receptor (IGF1R) inhibitors have demonstrated clear single-agent activity among patients with Ewing sarcoma in phase I trials16171819. Although more than 20 targeted agents - including monoclonal antibodies and small molecule inhibitors targeting IGF1R pathway with rationale for activity in sarcoma - were in various stages of development 5 years ago, the pharmaceutical industry lost enthusiasm for most of these agents because they were active in only rare subsets of sarcoma2021. Predictive biomarkers are needed to identify the patients most likely to benefit from such targeted agents22. In the current study, we report the presenting characteristics and the outcomes of patients with sarcoma who were enrolled in phase I trials, primarily involving inhibitors of angiogenesis and mammalian target of rapamycin (mTOR), at The University of Texas MD Anderson Cancer Center (MDACC) and explore putative associations between patient characteristics and survival outcomes. In addition, we sought to validate the Royal Marsden Hospital (RMH) prognostic score among sarcoma patients enrolled in phase I clinical trials, as this score can help in patient prognostication2324.

Patients and Methods

Data Collection and Pathology Review

We reviewed records of patients who were referred to the Phase I Clinical Trials Program at MDACC for refractory, relapsed, metastatic, or unresectable sarcoma. Patient characteristics and clinical outcomes were abstracted from transcribed notes in the electronic medical record system (ClinicStation, Houston, TX). Patient records were reviewed at the time of presentation to a phase I program. The type of investigational treatment regimens offered to patients varied throughout the study period given rapid protocol turnover. Outcomes of interest included objective response, stable or progressive disease, clinical benefit, and progression-free and overall survivals. Patients who had a biopsy at another institution had their histopathologic findings verified by an MD Anderson pathologist. When biopsies were performed at MD Anderson, additional studies including cytogenetics, immunohistochemistry, fluorescent in situ hybridization, and/or polymerase chain reaction (PCR) were obtained as indicated. For some patients, mutational analysis was performed during the latter course of phase I trials (from 2008 onwards) if additional samples were available; mutations of interest included those in KRAS, BRAF, C-KIT, EGFR, and P13KCA genes. All patients provided written informed consent before enrollment in phase I trials and all trials were approved and were carried out in accordance with the guidelines by the Institutional Review Board of MD Anderson Cancer Center, which also approved and granted waivers of informed consent for this retrospective study.

Patient Eligibility

Eligible patients with metastatic or unresectable sarcoma, for whom approved curative therapies had failed, were included in the study. All patients had evidence of measurable disease according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria, Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 2, and a life expectancy of at least 3 months. Premenopausal women were required to have negative results on a pregnancy test and patients with child-bearing potential were required to use contraception. A washout period of 4 weeks was required preceding initiation of treatment on phase I trial.

Treatment and Follow-up

Once enrolled on a phase I trial, patients were evaluated at 3- to 4-week intervals in accordance with each protocol’s cycle length. At each visit, history was updated and physical examination was performed along with a comprehensive metabolic and hematologic panel. Patients were assessed for onset of new symptoms and compliance with treatment. Computed tomography (CT) or positron emission - computed tomography (PET-CT) scans were obtained every 2 cycles of therapy, and responses were determined based on RECIST criteria based on the protocol.

Statistical Methods and End Points

Descriptive statistics were used to summarize the patients’ characteristics. Clinical benefit was defined as objective response or stable disease lasting 6 months or longer. The Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS) distributions and the log rank test was used to compare OS and PFS distributions between groups. Cox proportional hazards regression analysis was used to estimate the hazard ratio with 95% confidence intervals. OS was measured from date of presentation to the Phase I Clinical Trials Program until death from any cause or last follow-up. PFS was measured from date of study enrollment until disease progression or death (whichever came first) or last follow-up. A P-value of 0.05 or less was considered the criterion for statistical significance. Statistical analyses were performed using SAS 9.1 (SAS Institute, Cary, NC) and S-Plus software (version 7.0; Insightful Corp., Seattle, WA).

Results

Patient Characteristics

Table 1 describes the characteristics of the patients. One hundred patients (46 male, 54 female) with soft tissue sarcoma (n = 79) or bone sarcoma (n = 21) were included in the study. Median age of patients was 48 years (range 14–80). Patients received a median of 2 (range 0–10, interquartile range 1–4) prior lines of systemic therapies. Fifty-nine patients had received prior cytotoxic anthracyclines, 26 received topoisomerase inhibitors, 8 received platinum, 55 received antimetabolites, 63 received anti-mitotics, 63 received alkylating agents, and 15 patients had received other chemotherapy. Twenty-four patients had received agents targeting angiogenesis, 2 targeting HER2/neu, 1 EGFR, 1 CMET, 13 the PIK3CA/mTOR/AKT pathway, 5 C-KIT, and 15 patients had received other targeted agents. Five patients had received prior immunotherapy.
Table 1

Patient characteristics of sarcoma patients enrolled on phase I trials.

CharacteristicTotal (N = 100)Soft Tissue Sarcoma (N = 79)Bone Sarcoma (N = 21)
Sex
 Male463511
 Female544410
Age (years)
 Median (range)48 (14–80)49 (16–80)29 (14–70)
Ethnicity
 White765818
 Black13121
 Hispanic862
 Asian330
No. of metastatic sites
 <3624814
 ≥338317
LDH
 ≤ULN796118
 >ULN21183
Albumin
 ≥3.5 g/dL927121
 <3.5 g/dL880
No. of prior therapies
 <351429
 ≥3493712

Abbreviations: LDH, lactate dehydrogenase; ULN, upper limit of normal.

Sarcoma Subtypes

A wide variety of sarcoma subtypes were treated (Table 2). Chondrosarcoma was the most common subtype (n =  9) among bone sarcomas, followed by Ewing sarcoma (n = 8). Spindle cell sarcoma was the most common soft tissue sarcoma (n = 12), followed by leiomyosarcoma (n = 10). Other soft tissue sarcomas included one patient each with adrenal sarcomatoid carcinoma, alveolar rhabdomyosarcoma, chondroid syringoma, chordoma, endometrial stromal sarcoma, epithelioid sarcoma, lymphangiomyomatosis, myoepithelial carcinoma, and unclassified primitive small cell malignancy.
Table 2

Sarcoma subtypes among patients enrolled on phase I trials.

Bone Sarcoma (N = 21) 
 Chondrosarcoma9
 Ewing’s sarcoma8
 Osteosarcoma4
Soft Tissue Sarcoma (N = 79)
 Spindle cell sarcoma12
 Leiomyosarcoma10
 Synovia sarcoma7
 Clear cell sarcoma7
 Alveolar soft part sarcoma (ASPS)5
 Liposarcoma5
 Desmoplastic small round cell tumor5
 Malignant fibrous histiocytoma4
 PEComa3
 Hemangiopericytoma/fibrous sarcoma3
 Gastrointestinal stromal tumor (GIST)2
 Angiosarcoma2
 Unclassified high-grade sarcoma5
 Other subtypes (1 each) included adrenal sarcomatoid carcinoma, alveolar rhabdomyosarcoma, chondroid syringoma, chordoma, endometrial stromal sarcoma, epithelioid sarcoma, lymphangiomyomatosis, myoepithelial carcinoma, and unclassified primitive small cell malignancy9

Molecular Aberrations

Table 3 describes the chromosomal rearrangements observed by sarcoma subtype. Other molecular abnormalities included MET mutation (7 of 50 patients), HER2 amplification by fluorescence in situ hybridization (1 of 26 patients), K-RAS G12A mutation (1 of 67 patients), N-RAS Q61K mutation (1 of 45 patients), EGFR G719D mutation (1 of 55 patients), P53 mutation (7 of 36 patients), and C-KIT mutation (1 of 56 patients). No MET amplification (62 patients), PIK3CA mutation (81 patients), or BRAF mutation (71 patients) was detected.
Table 3

Chromosomal Rearrangements by Sarcoma Subtype.

RearrangementSarcoma SubtypeNo. of Patients
EWSR1:FLI1Ewing sarcoma8
EWSR1Clear cell sarcoma6
EWS:WT1Desmoplastic small round cell tumor3
SYT-SSXSynovial sarcoma4
ASPL-TFE3Alveolar soft part sarcoma (ASPS)2
KIAA-BRAFSpindle cell sarcoma1
12q15 amplificationLiposarcoma1

Phase I Therapies and Outcomes

Table 4 describes the phase I treatments received by the patients included in this study. Forty-five patients received anti–vascular endothelial growth factor (VEGF)-based therapy, 15 received mTOR inhibitor–based therapy, 17 received anti-VEGF plus mTOR inhibitor–based therapy, and 23 patients received therapies based on targeted agents. Chemotherapy was a component of the clinical trial treatment in 30 patients. Best responses to phase I treatment included partial response in 4 patients, stable disease in 57, and progression in 39 patients. Thirty-two patients had stable disease for 6 months or more. Clinical benefit rate was 36% (95% CI: 27–46%). The four patients with partial responses included one patient with alveolar soft part sarcoma treated with an anti-VEGF agent, one with malignant fibrous histiocytoma treated with a combination of inhibitors of VEGF and histone deacetylase (HDAC), one with chondrosarcoma treated with a TRAIL (TNF-related apoptosis-inducing ligand) agent, and one patient with lymphangiomyomatosis treated with a combination of VEGF and mTOR inhibitors. None of these 4 patients harbored any targetable mutation.
Table 4

Phase I treatments received by sarcoma patients.

Phase I TreatmentNo. of PatientsBone SarcomaSoft Tissue Sarcoma
Anti-VEGF based
 VEGF only10010
 VEGF + chemo716
 VEGF + immunomodulator808
 VEGF + targeted826
 VEGF + targeted+ chemo615
 VEGF + HDAC624
mTOR-inhibitor based
 mTOR alone202
 mTOR + chemo211
 mTOR + immunomodulator202
 mTOR + targeted523
 mTOR + HDAC110
 mTOR + chemo+ proteosome303
Anti-VEGF + mTOR-inhibitor based
 VEGF + mTOR725
 VEGF + mTOR + chemo918
 VEGF + mTOR + targeted110
Target based
 Targeted20614
 Targeted + chemo312

Abbreviations: chemo, chemotherapy; HDAC, histone deacetylase, mTOR, mechanistic target of rapamycin; VEGF, vascular endothelial growth factor.

Among the 100 patients in this study, 82 died after a median follow-up of 35 months. The median OS was 9.6 months (95% confidence interval: 8.1–14.2) (Fig. 1). Survival was 75% (95% CI: 67–84%) at 6 months, 44% (95% CI: 36–56%) at 1 year, 25% (95% CI: 18–36%) at 2 years, and 12% (95% CI: 6–22%) at 3 years. Eighty-three patients had disease progression on phase I treatment and 3 others died on study, for a total of 86 PFS events. Four patients came off trial by withdrawing consent, 3 due to toxicity, and 1 each for planned surgery and radiation therapy; 5 patients were continuing on phase I treatment. The median PFS was 3.5 months (95% confidence interval: 2.4–4.7) (Fig. 2). The PFS was 57% (95% CI: 48–68%) at 3 months, 36% (95% CI: 28–47%) at 6 months, 24% (95% CI: 17–35%) at 9 months, 19% (95% CI: 13–29%) at 1 year, 9% (95% CI: 4–20%) at 2 years, and 5% (95% CI: 1–16%) at 3 years. Table 5 presents the analyses of PFS and OS in various subsets of patients. Overall survival were better among patients with fewer than 3 metastatic sites, normal lactate dehydrogenase (LDH) values, and/or normal albumin values. The RMH prognostic score, a standardized system that includes these 3 parameters, was associated with PFS (log-rank p-value 0.0081) and OS (log-rank p-value < 0.0001). Patients who received cytotoxic chemotherapy as a component of their phase I trial treatment had shorter OS than those who did not receive cytotoxic chemotherapy (log-rank p-value 0.039).
Figure 1

Overall survival (A) and Progression-free survival (PFS) among sarcoma patients enrolled on phase I trials.

Figure 2

Overall survival (A) and Progression-free survival (PFS) among sarcoma patients enrolled on phase I trials with respect to Royal Marsden Hospital prognostic score.

Table 5

Survival Outcomes in Various Subsets of Sarcoma Patients.

 NMedian PFS (Months)HR (95% CI)Median OS (Months)HR (95% CI)
Sex
 Female544.30.68 (0.44–1.04)10.20.73 (0.47–1.13)
 Male463.1Reference8.6Reference
Age
 <40 years 3.70.96 (0.62–1.49)9.50.98 (0.63–1.53)
 ≥41 years 3.5Reference9.8Reference
Sarcoma subtype
 Soft tissue794.30.80 (0.47–1.35)10.40.90 (0.53–1.52)
 Bone212.9Reference7.9Reference
Translocation
 Present253.61.0 (0.61–1.63)8.41.21 (0.74–1.98)
 Absent753.5Reference9.8Reference
MET mutation
 Present75.00.99 (0.44–2.23)14.21.15 (0.51–2.62)
 Absent433.2Reference9.1Reference
P53 mutation
 Present76.40.79 (0.32–1.96)14.70.89 (0.36–2.18)
 Absent294.3Reference11.81.13 (0.46–2.78)
Phase I treatment
 Anti-VEGF624.00.95 (0.61–1.47)9.51.31 (0.83–2.08)
 No anti-VEGF383.2Reference9.8Reference
 mTOR inhibitor324.90.86 (0.54–1.36)10.20.69 (0.42–1.12)
 No mTOR inhibitor683.2Reference9.4Reference
 Target inhibitor383.20.98 (0.63–1.52)9.61.0 (0.65–1.58)
 No target inhibitor623.7Reference9.5Reference
 Chemotherapy302.91.32 (0.83–2.10)7.91.63 (1.02–2.60)
 No chemotherapy704.4Reference13.0Reference
Prior lines of treatment
 2 or less514.10.94 (0.62–1.45)11.80.86 (0.56–1.33)
 3 or more493.2Reference8.6Reference
No. of metastatic sites
 2 or less623.10.91 (0.58–1.41)12.10.58 (0.37–0.91)
 3 or more384.3Reference7.9Reference
LDH
 Normal794.40.55 (0.33–0.91)12.10.46 (0.28–0.78)
 High212.3Reference7.9Reference
Albumin
 Normal924.00.28 (0.13–0.60)11.80.20 (0.09–0.44)
 Low81.6Reference3.9Reference
RMH prognostic score
 0444.90.33 (0.16–0.67)19.10.10 (0.05–0.23)
 1463.50.46 (0.23–0.93)8.50.21 (0.10–0.44)
 2–3101.9Reference3.3Reference

Abbreviations: LDH, lactate dehydrogenase; mTOR, mechanistic target of rapamycin; RMH, Royal Marsden Hospital; VEGF, vascular endothelial growth factor.

Discussion

This study summarizes the clinical outcomes of patients with refractory sarcomas in phase I clinical studies after progression from standard US FDA approved therapies. As we continue to decipher the unique molecular characteristics of these subtypes, phase I trials provide an opportunity to target these molecular characteristics to potentially induce responses. Improvement in treatment of GIST represents an excellent example. Before 2000, cases of GIST were often treated using regimens similar to those for leiomyosarcoma and were highly resistant to cytotoxic chemotherapy2526. Identification of activation of the KIT oncogene in patients with GIST led to interest in its role in pathogenesis and the possibility of targeting this oncogenic driver2728. A phase I study of imatinib, a known inhibitor of the KIT receptor tyrosine kinase, demonstrated an objective response rate of approximately 70%29. However, the success in treatment of GIST has not been reproducible in all subtypes of sarcoma. For instance, despite a better understanding of the molecular pathogenesis of Ewing sarcoma, systemic chemotherapy remains the mainstay of treatment. The EWS-FLI1 fusion protein, the hallmark of Ewing sarcoma, positively regulates expression of IGF1R, which is necessary for fibroblast transformation303132. However, early phase clinical trials of IGF1R inhibitors demonstrated response rates of 10–15%333435 and highlighted the need for markers to identify patients most likely to respond. Review of literature shows that a similar analysis among sarcoma patients enrolled in phase 1 clinical trials was conducted at the Royal Marsden hospital36. The median progression-free survival was 2.1 months (95% CI, 1.7–2.5), and median overall survival was 7.6 months (95% CI, 4.8–10.4)36. Another study from Europe reported the pooled analysis of 178 patients from the European database and reported similar results37. The similarities and differences are outlined in Table 6. Our current study closely mirrored the European database study.
Table 6

Similarities and differences among the three major Phase 1 trial experiences with advanced sarcoma patients on Phase 1 trials.

 MDACC Phase 1 unitRoyal Marsden Hospital Phase 1 unit36European Phase 1 database37
Number of patients100133178
Median no. of systemic therapies2 (0–10)3 (0–6)2 (0–9)
Age range48 (14–80)48.0 (12.5–81.9)51 (19–79)
Male/Female ratio46/5471/6296/82
Best Responses4 PR1 CR, 2PR.6 PR
PFSmedian PFS 3.5 months (95% CI: 2.4–4.7) 3 month and 6 month PFS, 57% and 36%Median PFS 2.1 months (95% CI, 1.7–2.5)3-month and 6-month PFS rates were 33.5% and 16.9%
Median OS9.6 months (95% CI: 8.1–14.2)7.6 months (95% CI, 4.8–10.4).9.8 months (39.4 weeks) (95% CI 27.4–51.4)
Major tumor typesSpindle cell Sarcoma 12 (12%), Leiomyosarcoma 10 (10%)Leiomyosarcoma 16 (12%), GIST 15 (11.3%), Liposarcoma 15 (11.3%)Leiomyosarcoma 34 (27.2%), Liposarcoma 16 (12.8%)
Major drug typesanti-VEGF–based (n = 45), mTOR inhibitor–based (n = 15), and anti-VEGF + mTOR inhibitor–based (n = 17)Antiangiogenic 43 (32.3%), IGF1-R/PI3K/mTOR/AKT pathway 30 (22.6%)Cytotoxic 43 (19.8%), Targeted or cytotoxic+ targeted 174 (80.2%)
Our study involved a diverse range of sarcoma subtypes in patients enrolled in a wide variety of phase I trials at MD Anderson Cancer Center. Neither demographic features, translocation status, nor mutations in TP53 or MET genes predicted outcome. The choice of therapy whether one used VEGF inhibitor, mTOR inhibitor, or other targeted agents similarly failed to significantly affect outcome. Paradoxically, the use of cytotoxic chemotherapy as part of phase I treatment was associated with shorter survival. This unexpected outcome may be due to the heavily pretreated nature of our phase I population. As most of these patients had progressed on chemotherapy before referral to phase I program, reduced survival in chemotherapy-treated group may reflect acquired drug resistance by patientstumors that predestined phase I agents to fail. Conversely, the use of biologically targeted therapies may have offered patients a novel mechanism of action not previously encountered as part of their standard-of-care regimens. It is noteworthy that chemotherapy was used in combination with inhibitor(s) of VEGF, mTOR, and/or other targets as part of phase I trials. We closely analyzed patients with an objective response to identify any distinguishing feature. Although 3 of the 4 patients with objective response received VEGF inhibitor, there was no difference in outcome of patients treated with VEGF inhibitor in the overall sample. The initial report of the RMH prognostic score included only a few patients with sarcoma23. Although we previously validated use of the RMH score among patients with other cancers2438, it was unclear whether the RMH score would be a valid tool for sarcoma patients. We sought to validate the RMH prognostic score among patients with sarcoma and found it to be a significant predictor of outcome. This study has a few limitations that should be considered while interpreting its findings. First, the retrospective study design may have led to selection bias. Second, patients included were treated on phase I trials at a single institution, making the study susceptible to referral bias. Third, treatment involved inhibitors of VEGF and/or mTOR in more than three-quarters of the patients and no patients were enrolled on immunotherapy trials. While phase 1 trials are designed to evaluate toxicity not efficacy, the results shown here in should be viewed as preliminary. This is a retrospective study of sarcoma patients in several “all comer Phase 1” trials so we may not be able to derive any conclusions. Although efficacy activity is not the end point or primary objective in any Phase 1 trial, the primary motivation for patient’s participation and the treating physicians enrollment in phase I trials is the anticipation or optimism of some response/efficacy or therapeutic benefit373940. Fourth, the survival for different sarcoma subtypes may be different. However, given the very low numbers we have to pool them together for this analysis for some meaningful analysis. In spite of aforementioned limitations, this study is valuable as it rigorously evaluated the largest experience in the USA with investigational cancer therapeutics among sarcoma patients as the rest of the studies have been mainly from Europe. In conclusion, this retrospective analysis of 100 sarcoma patients treated on phase I trials predominantly involving inhibitors of VEGF and/or mTOR demonstrated a clinical benefit rate of 36%. Higher RMH score and treatment with cytotoxic chemotherapy as part of phase I trial were associated with shorter OS.

Additional Information

How to cite this article: Subbiah, V. et al. Evaluation of Novel Targeted Therapies in Aggressive Biology Sarcoma Patients after progression from US FDA approved Therapies. Sci. Rep. 6, 35448; doi: 10.1038/srep35448 (2016).
  38 in total

Review 1.  Phase 1 clinical trials for sarcomas: the cutting edge.

Authors:  Vivek Subbiah; Razelle Kurzrock
Journal:  Curr Opin Oncol       Date:  2011-07       Impact factor: 3.645

2.  A phase I study of weekly R1507, a human monoclonal antibody insulin-like growth factor-I receptor antagonist, in patients with advanced solid tumors.

Authors:  Razelle Kurzrock; Amita Patnaik; Joseph Aisner; Terri Warren; Stephen Leong; Robert Benjamin; S Gail Eckhardt; Joseph E Eid; Gerard Greig; Kai Habben; Cinara D McCarthy; Lia Gore
Journal:  Clin Cancer Res       Date:  2010-04-06       Impact factor: 12.531

3.  R1507, a monoclonal antibody to the insulin-like growth factor 1 receptor, in patients with recurrent or refractory Ewing sarcoma family of tumors: results of a phase II Sarcoma Alliance for Research through Collaboration study.

Authors:  Alberto S Pappo; Shreyaskumar R Patel; John Crowley; Denise K Reinke; Klaus-Peter Kuenkele; Sant P Chawla; Guy C Toner; Robert G Maki; Paul A Meyers; Rashmi Chugh; Kristen N Ganjoo; Scott M Schuetze; Heribert Juergens; Michael G Leahy; Birgit Geoerger; Robert S Benjamin; Lee J Helman; Laurence H Baker
Journal:  J Clin Oncol       Date:  2011-10-24       Impact factor: 44.544

4.  Preliminary efficacy of the anti-insulin-like growth factor type 1 receptor antibody figitumumab in patients with refractory Ewing sarcoma.

Authors:  Heribert Juergens; Najat C Daw; Birgit Geoerger; Stefano Ferrari; Milena Villarroel; Isabelle Aerts; Jeremy Whelan; Uta Dirksen; Mary L Hixon; Donghua Yin; Tao Wang; Stephanie Green; Luisa Paccagnella; Antonio Gualberto
Journal:  J Clin Oncol       Date:  2011-10-24       Impact factor: 44.544

Review 5.  Ewing's sarcoma: standard and experimental treatment options.

Authors:  Vivek Subbiah; Pete Anderson; Alexander J Lazar; Emily Burdett; Kevin Raymond; Joseph A Ludwig
Journal:  Curr Treat Options Oncol       Date:  2009-06-17

Review 6.  Prospects and pitfalls of personalizing therapies for sarcomas: from children, adolescents, and young adults to the elderly.

Authors:  Vivek Subbiah
Journal:  Curr Oncol Rep       Date:  2014-09       Impact factor: 5.075

7.  Childhood cancer.

Authors:  R W Miller; J L Young; B Novakovic
Journal:  Cancer       Date:  1995-01-01       Impact factor: 6.860

8.  Outcome of patients with sarcoma and other mesenchymal tumours participating in phase I trials: a subset analysis of a European Phase I database.

Authors:  P A Cassier; V Polivka; I Judson; J-C Soria; N Penel; S Marsoni; J Verweij; J H Schellens; R Morales-Barrera; P Schöffski; E E Voest; C Gomez-Roca; T R J Evans; R Plummer; E Gallerani; S B Kaye; D Olmos
Journal:  Ann Oncol       Date:  2014-03-07       Impact factor: 32.976

9.  IGF1 is a common target gene of Ewing's sarcoma fusion proteins in mesenchymal progenitor cells.

Authors:  Luisa Cironi; Nicolò Riggi; Paolo Provero; Natalie Wolf; Mario-Luca Suvà; Domizio Suvà; Vincent Kindler; Ivan Stamenkovic
Journal:  PLoS One       Date:  2008-07-09       Impact factor: 3.240

10.  Targeted therapy by combined inhibition of the RAF and mTOR kinases in malignant spindle cell neoplasm harboring the KIAA1549-BRAF fusion protein.

Authors:  Vivek Subbiah; Shannon N Westin; Kai Wang; Dejka Araujo; Wei-Lien Wang; Vincent A Miller; Jeffrey S Ross; Phillip J Stephens; Gary A Palmer; Siraj M Ali
Journal:  J Hematol Oncol       Date:  2014-01-14       Impact factor: 17.388

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  8 in total

Review 1.  The Role of Next-Generation Sequencing in Sarcomas: Evolution From Light Microscope to Molecular Microscope.

Authors:  Roman Groisberg; Jason Roszik; Anthony Conley; Shreyaskumar R Patel; Vivek Subbiah
Journal:  Curr Oncol Rep       Date:  2017-10-13       Impact factor: 5.075

2.  Pregnancy-Associated Plasma Protein-A (PAPP-A) in Ewing Sarcoma: Role in Tumor Growth and Immune Evasion.

Authors:  Sabine Heitzeneder; Elena Sotillo; Jack F Shern; Sivasish Sindiri; Peng Xu; Robert Jones; Michael Pollak; Pernille R Noer; Julie Lorette; Ladan Fazli; Anya Alag; Paul Meltzer; Ching Lau; Cheryl A Conover; Claus Oxvig; Poul H Sorensen; John M Maris; Javed Khan; Crystal L Mackall
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

3.  Characteristics and outcomes of patients with advanced sarcoma enrolled in early phase immunotherapy trials.

Authors:  Roman Groisberg; David S Hong; Amini Behrang; Kenneth Hess; Filip Janku; Sarina Piha-Paul; Aung Naing; Siqing Fu; Robert Benjamin; Shreyaskumar Patel; Neeta Somaiah; Anthony Conley; Funda Meric-Bernstam; Vivek Subbiah
Journal:  J Immunother Cancer       Date:  2017-12-19       Impact factor: 13.751

4.  Clinical genomic profiling to identify actionable alterations for investigational therapies in patients with diverse sarcomas.

Authors:  Roman Groisberg; David S Hong; Vijaykumar Holla; Filip Janku; Sarina Piha-Paul; Vinod Ravi; Robert Benjamin; Shreyas Kumar Patel; Neeta Somaiah; Anthony Conley; Siraj M Ali; Alexa B Schrock; Jeffrey S Ross; Philip J Stephens; Vincent A Miller; Shiraj Sen; Cynthia Herzog; Funda Meric-Bernstam; Vivek Subbiah
Journal:  Oncotarget       Date:  2017-06-13

5.  Outcomes of patients with sarcoma enrolled in clinical trials of pazopanib combined with histone deacetylase, mTOR, Her2, or MEK inhibitors.

Authors:  Vikas Dembla; Roman Groisberg; Ken Hess; Siqing Fu; Jennifer Wheler; David S Hong; Filip Janku; Ralph Zinner; Sarina Anne Piha-Paul; Vinod Ravi; Robert S Benjamin; Shreyaskumar Patel; Neeta Somaiah; Cynthia E Herzog; Daniel D Karp; Jason Roszik; Funda Meric-Bernstam; Vivek Subbiah
Journal:  Sci Rep       Date:  2017-11-21       Impact factor: 4.379

6.  Safety and efficacy of Pazopanib in advanced soft tissue sarcoma: PALETTE (EORTC 62072) subgroup analyses.

Authors:  Axel Le Cesne; Sebastian Bauer; George D Demetri; Guangyang Han; Luca Dezzani; Qasim Ahmad; Jean-Yves Blay; Ian Judson; Patrick Schöffski; Massimo Aglietta; Peter Hohenberger; Hans Gelderblom
Journal:  BMC Cancer       Date:  2019-08-13       Impact factor: 4.430

7.  Validation of prognostic scoring systems for patients with metastatic renal cell carcinoma enrolled in phase I clinical trials.

Authors:  Andrew W Hahn; Omar Alhalabi; Pavlos Msaouel; Funda Meric-Bernstam; Aung Naing; Eric Jonasch; Sarina Piha-Paul; David Hong; Shubham Pant; Timothy Yap; Erick Campbell; Hung Le; Nizar M Tannir; Jason Roszik; Vivek Subbiah
Journal:  ESMO Open       Date:  2020-11

8.  IGF-1R/mTOR Targeted Therapy for Ewing Sarcoma: A Meta-Analysis of Five IGF-1R-Related Trials Matched to Proteomic and Radiologic Predictive Biomarkers.

Authors:  Hesham M Amin; Ajaykumar C Morani; Najat C Daw; Salah-Eddine Lamhamedi-Cherradi; Vivek Subbiah; Brian A Menegaz; Deeksha Vishwamitra; Ghazaleh Eskandari; Bhawana George; Robert S Benjamin; Shreyaskumar Patel; Juhee Song; Alexander J Lazar; Wei-Lien Wang; Razelle Kurzrock; Alberto Pappo; Peter M Anderson; Gary K Schwartz; Dejka Araujo; Branko Cuglievan; Ravin Ratan; David McCall; Sana Mohiuddin; John A Livingston; Eric R Molina; Aung Naing; Joseph A Ludwig
Journal:  Cancers (Basel)       Date:  2020-07-02       Impact factor: 6.639

  8 in total

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