Abstract
Advanced stage leiomyosarcoma (LMS) is incurable with current systemic antitumor therapies. Therefore, there is clinical interest in exploring novel therapeutic regimens to treat LMS. We reviewed the medical records of 75 consecutive patients with histologically confirmed metastatic LMS, who had been referred to the Clinical Center for Targeted Therapy at MD Anderson Cancer Center. To lay the foundation for potential phase I trials for the treatment of advanced LMS, we analyzed tumor response and survival outcome data. The frequent hotspot gene aberrations that we observed were the TP53 mutation (65%) and RB1 loss/mutation (45%) detected by Sequenom or next‐generation sequencing. Among patients treated with gene aberration‐related phase I trial therapy, the median progression‐free survival was 5.8 months and the median overall survival was 15.9 months, significantly better than in patients without therapy (1.9 months, P = 0.001; and 8.7 months, P = 0.013, respectively). Independent risk factors that predicted shorter overall survival included hemoglobin <10 g/dL, body mass index <30 kg/m2, serum albumin <3.5 g/dL, and neutrophil above upper limit of normal. The median survivals were 19.9, 7.6, and 0.9 months for patients with 0, 1 or 2, and ≥3 of the above risk factors, respectively (P < 0.001). A prognostic scoring system that included four independent risk factors might predict survival in patients with metastatic LMS who were treated in a phase I trial. Gene aberration‐related therapies led to significantly better clinical benefits, supporting that further exploration with novel mechanism‐driven therapeutic regimens is warranted.
Keywords: gene aberration‐related therapy, leiomyosarcoma, overall survival, phase I clinical trial, prognostic scoring model
Introduction
Leiomyosarcoma (LMS) is a malignant mesenchymal tumor originating from smooth muscle tissues 1. LMS is relatively rare representing 10–20% of soft tissue sarcomas 2. It can appear at almost all anatomic sites such as the uterus 3, retroperitoneum 4, extremities 5, and blood vessels 6. Uterine LMS is the most common site‐specific group with an estimated incidence of 0.64 cases per 100,000 women 7. Pathologically, LMS possesses a typical histologic pattern of intersecting and sharply marginated fascicles of spindle cells with abundant eosinophilic cytoplasm and elongated and hyperchromatic nuclei 1, 2, 8.
Surgical resection of localized disease is a well‐established therapeutic strategy 9. In the event tumors have metastasized, hormonal therapy 10 and cytotoxic chemotherapeutic agents such as gemcitabine 11, docetaxel 12, 13, anthracyclines 14, 15, ifosfamide 16, temozolomide 17, trabectedin 18, 19, eribulin 20, 21, and many other cytotoxic agents provide modest antitumor activity 22. In contrast, novel targeted therapeutic agents have not widely used for the treatment of advanced LMS. In a randomized phase III study (the PALETTE trial) in 372 patients with advanced nonadipocytic soft tissue sarcoma, median progression‐free survival (PFS) and overall survival (OS) were 4.6 months and 12.5 months with pazopanib compared with 1.6 months and 10.7 months, respectively, with placebo 23, which has established pazopanib as a new treatment option for patients with metastatic nonadipocytic soft tissue sarcomas including LMS after previous chemotherapy. In a randomized phase II study of patients with advanced soft tissue sarcoma, treatment with doxorubicin plus olaratumab, a monoclonal antibody against the platelet‐derived growth factor receptor alpha, led to significantly greater median OS than doxorubicin plus placebo (26.5 months vs. 14.7 months, P < 0.001), associated with favorable objective responses and median PFS 24.
The aims of this study were to analyze patient demographics, molecular characteristics, and clinical outcomes in patients with metastatic LMS who had been referred to the Clinical Center for Targeted Therapy at The University of Texas MD Anderson Cancer Center, and to explore potential therapeutic regimens to treat advanced LMS, and risk factors to predict survival in these patients.
Materials and Methods
Patients
We retrospectively reviewed the medical records of 75 consecutive patients with histologically confirmed metastatic LMS who had been referred to the Clinical Center for Targeted Therapy at MD Anderson between 1 July 2005 and 30 September 2013. Of these, 54 patients had received phase I trial therapy. We reviewed patients’ demographics, medical history, clinical characteristics, laboratory results, gene aberrations, and status of phase I trial therapy. Trial conduct, data collection, and the subsequent analysis were performed in accordance with the guidelines of the MD Anderson Institutional Review Board.
Molecular analysis
When available, efforts were made to provide adequate tissues for molecular analyses. Tumor DNA was extracted from microdissected paraffin‐embedded tumor specimens for gene aberration detections in a Clinical Laboratory Improvement Amendments (CLIA)‐certified Molecular Diagnostics Laboratory 25, 26. Genomic analysis for hotspot mutations was detected by Sequenom (an 11‐gene panel) or next‐generation sequencing (a 46‐gene, 50‐gene, or Foundation Medicine panel).
Treatment and evaluation
The decision of whether to allocate an eligible patient into a phase I trial depended on protocol availability and the preference of the treating physician. Tumor responses (CR = complete remission, PR = partial response, SD = stable disease, and PD = progressive disease) were evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST version 1.0 or 1.1) 27, 28, depending on individual protocols. PFS was calculated from initiation of phase I trial therapy to the first objective documentation of PD, the time of death, or the last date censored on 10 December 2015. OS was estimated from the date of the initial visit to the Clinical Center for Targeted Therapy to death or the last date censored on 10 December 2015.
Statistical analysis
Patient characteristics, including age, race, site of origin, Eastern Cooperative Oncology Group (ECOG) performance status score, lactate dehydrogenase (LDH), albumin, the number of metastatic sites, neutrophils, lymphocytes, hemoglobin, platelets, serum creatinine, total bilirubin, prior antiangiogenic therapy, prior systemic lines, number of protocols enrolled, and gene aberrations were summarized with use of frequency distributions and percentages. Gene aberration‐related therapy was defined when at least one drug in the regimen was known to inhibit the functional activity of at least one of the patient's gene aberration and/or its key downstream components, that is, an antiangiogenic therapy for TP53 mutation, or an mTOR inhibitor‐based therapy for PIK3CA mutation. Categorical variables were compared via chi‐square and Fisher's exact tests. Survivals (PFS and OS) were assessed by using the Kaplan–Meier curve by the log‐rank test. The multivariable Cox proportional hazards model was used for multivariate analysis. All tests were two sided and considered significant when P values were less than 0.05. Statistical analyses were performed by using SPSS version 23.0 software (SPSS, Chicago, IL).
Results
Patient characteristics and molecular aberrations
In 54 patients who received phase I trial therapy, the median age was 55 years. The median follow‐up was 10 months (range, 1–63 months). Most of these patients were Caucasian and had a good ECOG performance status of 1 or better. In half of these patients with LMS, the disease originated in the uterus. Overexpression of estrogen receptor and/or progesterone receptor detected by immunohistochemical analysis was found in 52% of patients (11/21). Detailed patient characteristics are summarized in Table 1. In patients for whom molecular profiling had been performed, the most frequent hotspot gene aberrations were observed in TP53 mutations (15/23, 65%), RB1 mutation/loss (9/20, 45%), and PTEN mutation/loss (5/22, 23%), as seen in Table 2.
Table 1.
Patient baseline demographics (n = 54)
Characteristics | N (%)a |
---|---|
Age (years) | |
Median (range) | 55 (31–76) |
Race | |
Caucasian | 37 (69%) |
African American | 11 (20%) |
Others | 6 (11%) |
Site of origin | |
Uterus | 27 (50%) |
Retroperitoneal | 13 (24%) |
Others | 14 (26%) |
ECOG performance status | |
0 | 12 (22%) |
1 | 40 (74%) |
2 | 2 (4%) |
Venous thromboembolism | |
Yes | 14 (26%) |
No | 40 (74%) |
Body mass index | |
≥30 kg/m2 | 20 (37%) |
<30 kg/m2 | 34 (63%) |
Prior antiangiogenic therapy | |
Yes | 27 (50%) |
No | 27 (50%) |
Prior systemic therapy | |
Median (range) | 3 (1–10) |
One prior line | 5 (10%) |
Two prior lines | 9 (13%) |
≥3 prior lines | 40 (77%) |
ECOG, Eastern Cooperative Oncology Group.
Unless otherwise specified.
Table 2.
Molecular alterations in phase I patients with metastatic leiomyosarcoma (n = 54)
Gene aberration | No. of patients screened | No. of positive patients | % |
---|---|---|---|
TP53 mutation | 23 | 15 | 65 |
ER/PR expression | 21 | 11 | 52 |
RB1 mutation/loss | 20 | 9 | 45 |
PTEN mutation/loss | 22 | 5 | 23 |
CDKN2A/B mutation | 21 | 3 | 14 |
STK11 mutation | 21 | 2 | 10 |
BRCA2 mutation germline | 16 | 1 | 6 |
PIK3CA mutation | 33 | 2 | 6 |
C‐KIT mutation | 30 | 1 | 3 |
KRAS mutation | 28 | 0 | 0 |
NRAS mutation | 25 | 0 | 0 |
B‐RAF mutation | 29 | 0 | 0 |
GNAQ mutation | 21 | 0 | 0 |
PR, partial response.
Antitumor activity and survival
Protocol therapy
The 54 study patients had received 93 phase I treatments in 60 different types of phase I protocols conducted in the Clinical Center for Targeted Therapy at MD Anderson: 26 received one line only, 15 received two lines, and 13 received three lines. The 60 types of phase I protocols were classified as follows: targeted therapy as a single agent (n = 17), as a combination of two target agents (n = 17), as a single agent in combination with a chemotherapeutic agent (n = 13), as chemotherapy alone (n = 11), and as immunotherapy (n = 2). About 38% of protocols included an antiangiogenic agent.
Best tumor response
In 48 patients with measurable lesions, the initial phase I trials led to CR = 0, PR = 1, 2%, and SD = 22, 46%, which were similar to subsequent phase I therapy (n = 35): CR = 0, PR = 1, 3%, and SD=19, 54%. Patients treated with gene aberration‐related therapies achieved significantly higher DCR (12/13, 92%) than did those without (11/35, 31%; P < 0.001). Combination therapies yielded significantly higher disease control rates (DCRs) (DCR = CR/PR/SD: 19/31, 61%) than did therapies only including a single agent (4/17, 24%; P = 0.012). Antiangiogenic therapy led to CR/PR/SD (n = 24, 58%), compared favorably with non‐antiangiogenic therapy (n = 24, 33%; P = 0.082).
Progression‐free survival
The initial phase I trials led to a median PFS of 2.3 months (95% confident interval [CI], 1.6–3 months), similar to subsequent phase I trials (2.7 months [95% CI: 1.7–3.8]). Figure 1 showed that at their initial phase I trial therapy, patients treated with gene aberration‐related therapies (n = 13) yielded a significantly longer median PFS of 5.8 months (95% CI: 5.5–6.1) than those without (n = 41; 1.9 months [95% CI: 1.6–2.2]; P = 0.001). Combination therapies led to a significantly longer PFS (n = 34, 3.5 months [95% CI: 2.1–5]) than therapies only including a single agent (n = 20, 1.8 months [95% CI: 1–2.6]; P = 0.01). Antiangiogenic regimens yielded a median PFS of 3.7 months (95% CI: 3–4.5), significantly better than non‐antiangiogenic regimens (1.9 months [95% CI: 1.5–2.3]; P = 0.03). In patients who had received antiangiogenic therapy, those with the hotspot TP53 mutation (n = 10) had a median PFS of 5.8 months (95% CI: 3.3–8.3), which compared favorably with those without (n = 17, 2.1 months [95% CI: 0–4.2]; P = 0.053).
Figure 1.
Kaplan–Meier curves of progression‐free survival (PFS) in 54 patients with metastatic leiomyosarcoma who were treated in phase I clinical trials stratified by “gene aberration‐related” or “gene aberration‐unrelated” phase I trial therapies.
Overall survival
Patients who had received phase I therapy (n = 54) had a median OS of 10.4 months (95% CI: 6.9–13.9). Gene aberration‐related therapy during their initial phase I trial treatment (Fig. 2) yielded a significantly longer median OS (n = 13; 15.9 months [95% CI: unreached]) than gene aberration‐unrelated therapy (n = 41; 8.7 months [95% CI: 6–11.5]; P = 0.013). A multivariable Cox proportional hazards model showed that hemoglobin <10 g/dL (P = 0.015), body mass index (BMI) <30 kg/m2 (P = 0.019), albumin <3.5 g/dL (P = 0.001), and neutrophilia defined as neutrophils > upper limit of normal (P = 0.014) were independently predictive of poor OS (Table 3).
Figure 2.
Kaplan–Meier curves of overall survival (OS) in 54 patients with metastatic leiomyosarcoma under the treatment of phase I clinical trials stratified by “gene aberration‐related” or “gene aberration‐unrelated” phase I therapies.
Table 3.
Univariate and multivariate analyses of OS after phase I therapy (n = 54)
Factors | Category | Univariate | P | Multivariate | P |
---|---|---|---|---|---|
Median (months, 95% CI) | Hazard ratio (95% CI) | ||||
Age ≤55 years | Yes (n = 28) | 11.1 (5.38–16.9) | 0.918 | 0.53 (0.22–1.28) | 0.158 |
No (n = 26) | 9.1 (5.1–13.1) | ||||
Caucasian | Yes (n = 36) | 12.9 (7.7–18.1) | 0.513 | 0.59 (0.26–1.37) | 0.22 |
No (n = 18) | 6.9 (5.3–8.5) | ||||
Site of origin (uterine) | Yes (n = 27) | 10.1 (7.6–12.6) | 0.565 | 0.38 (0.14–1.08) | 0.068 |
No (n = 27) | 12.9 (3.6–22.1) | ||||
ECOG performance status | 0 (n = 12) | 8.7 (6.2–11.2) | 0.42 | 0.81 (0.29–2.27) | 0.684 |
≥1 (n = 42) | 10.2 (5.4–15) | ||||
Lactate dehydrogenase (≤618 IU/L) | Yes (n = 36) | 14.6 (8–21.1) | 0.07 | 2.16 (0.91–5.13) | 0.081 |
No (n = 18) | 5.7 (3–8.5) | ||||
Albumin (≥3.5 g/dL) | Yes (n = 51) | 11.1 (6.8–15.5) | <0.001 | 43.59 (4.73–401.72) | 0.001 |
No (n = 3) | 1.5 (0.6–2.4) | ||||
Number of metastatic sites | ≤ 2 (n = 28) | 10.1 (8.2–11.9) | 0.81 | 1.04 (0.44–2.41) | 0.937 |
>2 (n = 26) | 8.7 (1.9–15.6) | ||||
Liver metastasis | Yes (n = 26) | 12.9 (2.6–23.2) | 0.408 | 1.21 (0.52–2.82) | 0.658 |
No (n = 28) | 9.6 (6.7–12.4) | ||||
Hyperbilirubinemia | No (n = 54) | 10.1 (6.2–14) | NA | NA | NA |
Yes (n = 0) | NA | ||||
Creatinine (≤upper limit of normal) | Yes (n = 48) | 10.2 (5.5–14.9) | 0.122 | 2.68 (0.81–8.83) | 0.105 |
No (n = 6) | 8.4 (0–17.8) | ||||
Venous thromboembolism | Yes (n = 14) | 5.4 (4.4–6.3) | 0.11 | 2.43 (0.97–6.07) | 0.058 |
No (n = 40) | 12.9 (7.5–11.2) | ||||
Hemoglobin (≥10 g/dL) | Yes (n = 47) | 12.2 (7–17.5) | 0.015 | 5.62 (1.39–22.71) | 0.015 |
No (n = 7) | 5.4 (3.5–7.4) | ||||
Thrombocytopenia | No (n = 37) | 9.6 (7.1–12) | 0.999 | 0.61 (0.26–1.43) | 0.255 |
Yes (n = 17) | 11.1 (4.9–17.3) | ||||
Neutrophilia | No (n = 50) | 10.1 (5.3–14.9) | 0.705 | 0.09 (0.01–0.62) | 0.014 |
Yes (n = 4) | 4.7 (0–10.8) | ||||
Lymphocytosis | No (n = 36) | 12.9 (5–20.7) | 0.259 | 1.63 (0.71–3.76) | 0.251 |
Yes (n = 18) | 7.4 (6.2–8.6) | ||||
Body mass index (≥30 kg/m2) | Yes (n = 20) | 16.6 (4.7–28.5) | 0.038 | 3.33 (1.22–9.09) | 0.019 |
No (n = 34) | 7.5 (4.3–10.7) | ||||
Prior antiangiogenic therapy | Yes (n = 10) | 15.9 (11.4–20.3) | 0.548 | 0.5 (0.18–1.4) | 0.186 |
No (n = 44) | 8.7 (5.8–11.7) |
ECOG, Eastern Cooperative Oncology Group.
We determined whether the established prognostic scores were valid in this cohort of patients. The Royal Marsden Hospital Model was not able to categorize patients into distinct risk subgroups (P = 0.224). When the MD Anderson Model was used, decreased survival was not associated with increased risk factors. Therefore, we further analyzed whether we can develop a new prognostic score model by using four independent risk factors (anemia, BMI <30 kg/m2, hypoalbuminemia, and neutrophilia) for predicting the survival of patients with metastatic LMS who were referred to a phase I service. Assuming the relative risks associated with each of the independent significant risk factors were comparable, the relative risk of death could be assessed by summing the number of risk factors present at the initial phase I clinic visit. Three risk groups were categorized (Fig. 3): low‐risk group (score=0; median OS, 19.9 months [95% CI: 10.4–29.3]), intermediate‐risk group (score=1 or 2; 7.6 months [95% CI: 4.6–10.7]), and high‐risk group (score ≥3; 0.9 months [95% CI: NA]; P < 0.001).
Figure 3.
Kaplan–Meier curves of overall survival (OS) stratified by a prognostic scoring model (low‐risk [score = 0], intermediate‐risk [score = 1–2], and high‐risk [score ≥3] groups) in 54 patients with metastatic leiomyosarcoma who were treated in phase I clinical trials.
Further survival analyses showed that patients who enrolled in their initial phase I trial before the end of 2010 (n = 24) had a median OS from their initial diagnoses of metastasis of 40 months (95% CI: 31.4–48.5) or from their initial phase I clinic visit of 6.9 months (95% CI: 4.7–9.1), significantly shorter than the median OS of those who did after 2010 (n = 30) who had a median OS from their initial diagnoses of metastasis of 65.4 months (95% CI: 36.1–94.7; P = 0.008) or from the their initial phase I clinic visit of 15.1 months (95% CI: 6.8–23.4; P = 0.036). Similarly, patients who died before the end of 2010 had a median OS from their initial diagnoses of metastasis of 40 months (95% CI: 32.9–47), which was significantly shorter than that of patients who died after 2010, who had a median OS from their initial diagnoses of metastasis of 52.4 months (95% CI: 25.5–79.2; P = 0.01). When the cut‐off time was shifted to the end of 2012, the difference was significantly increased from a median OS of 39 months (95% CI: 31.8–46.2) in patients who died before the cut‐off time to 81.4 months (95% CI: 55.8–107; P < 0.001).
Discussion
To the best of our knowledge, this retrospective study is the largest cohort review of patients with metastatic LMS who participated in phase I clinical trials. Several lessons can be learned from this study.
Potential benefit of using gene aberration‐related therapy for metastatic LMS
Development of LMS is characterized by the presence of complex and unbalanced karyotypes, resulting in genomic instability associated with multiple gene aberrations such as TP53, RB1, CDKN2A, IGFR, and PTEN 6, 29, 30, 31. These gene aberrations subsequently cause the activations of corresponding signaling pathways such as the RB1/cyclin D1, p53/MDM2, PI3K/AKT/mTOR, and IGFR/AKT pathways, which provided potential targets for future drug development 32, 33, 34, 35. The normal function of p53 protein inhibits angiogenesis during tumorigenesis, and enhanced angiogenesis occurs in tumors associated with TP53 mutation through overexpression of vascular endothelial growth factor 36. Therefore, it might be appropriate to contemplate antiangiogenic therapy as gene aberration‐related therapy for the treatment of TP53 mutant malignancies 25, 37, 38. We found that patients harboring the hotspot TP53 mutation showed significantly better survivals with antiangiogenic‐based phase I trial therapy than did those without the hotspot TP53 mutation. In this regard, patients who had received gene aberration‐related therapy achieved significantly greater antitumor activity, PFS, and OS than those who had not, suggesting that further investigation and classification of mutation profiling in LMS tumorigenesis may provide potential targets for drug development, which has started to change clinical practice for the treatment of metastatic LMS by using antiangiogenic‐based and/or gene aberration‐related therapeutic regimens (i.e., an mTOR inhibitor‐based therapy for a PIK3CA mutation or a PTEN aberration).
Survival improves over time associated with availability of therapeutic options
Overall survival improvement in patients with metastatic colon cancer over time was found to be associated with increased use of new therapeutic agents 39. Thus, we determined whether survival duration in patients with metastatic LMS improved over time, similar to the findings in colon cancer since therapeutic agents have been made available for the treatment of metastatic LMS as well as improved best supportive care. Regardless of the cut‐off date we used (the end of 2010 or 2012), we found that overall survival duration improved in patients with metastatic LMS who ran out of therapeutic options and required phase I trial therapy, this improvement occurred over time, either from the date of their initial diagnosis of metastasis or from the date of their initial phase I office visit, was associated with increased availability of systemic therapeutic options. Preliminary evidence of the association between increased therapeutic options and improved survival in this cohort of patients with metastatic LMS suggests that it is imperative to make available to these patients all therapeutic agents that have established clinical benefits in metastatic LMS. Furthermore, when these patients run out of all standards of care options, they should be referred to novel phase I trial therapies to obtain maximum survival and clinical benefits. Although this does not appear to be what our data suggest, we will advocate that phase I trial referral earlier than all conventional options exhausted, especially when patients do not need urgent cytoreduction therapy, might be appropriate when gene aberration‐related or novel phase I trials are available.
A new LMS prognostic scoring model predicts individual outcome
In phase I cancer patients, poor prognosis can be predicted by baseline risk factors, such as hypoalbuminemia, elevated LDH level, poor ECOG performance status, and the presence of more than two metastatic sites 40, 41. Accordingly, two prognostic scoring models were established for phase I cancer patients: the Royal Marsden Hospital prognostic scoring 40 and the MD Anderson prognostic scoring 41. However, in this cohort of phase I patients with metastatic LMS, we identified only one risk factor (hypoalbuminemia) in these models. Multivariate analysis of these patients revealed that four baseline parameters (anemia, BMI <30 kg/m2, hypoalbuminemia, and neutrophilia) predicted individual survival outcome. Therefore, it is appropriate to establish a new LMS prognostic score model to predict individual survival of phase I patients with metastatic LMS. With the use of the four identified risk factors mentioned above, we can subgroup phase I patients with metastatic LMS into low‐risk (score = 0), intermediate‐risk (score = 1 or 2), and high‐risk (score ≥3) groups. Since all these four risk factors are associated with the chronic inflammatory process, future drug development for the treatment of metastatic LMS might focus on therapeutic regimens modulating cross‐talk among inflammation, angiogenesis, immune response, and other biological pathways.
We recognize that the nature of this retrospective study raises concerns about bias in considering the clinical relevance and importance of our findings. Always inherent to retrospective methodology, the selection bias of patient referral to our phase I clinical trials program may limit the generalizability of our findings; thus, alternative theories may explain our findings. Small sample sizes limited the statistical validity and the actual conclusions could not be derived from our preliminary evidences. In this regard, conclusions from this retrospective study should be used for the purpose of hypothesis generation, which should be validated in larger prospective studies.
Conclusions
All established standard‐of‐care therapeutic agents are made available to all LMS patients, however, efforts should be made to delineate biological and molecular characteristics of LMS during tumorigenesis and development to ensure that effective therapeutic agents continue to be developed. Potential therapeutic targets and prognosis should be identified in individual patients, and when these patients exhaust all standard‐of‐care options, referring them to a phase I trial therapy might provide survival and clinical benefits to some patients.
Conflict of Interest
The authors report no conflicts of interest.
Acknowledgments
The authors thank the patients at The University of Texas MD Anderson Cancer Center for their participation in phase I clinical trials; the faculty and staff in the Departments of Investigational Cancer Therapeutics, Sarcoma Medical Oncology, and Gynecologic Oncology for their contributions to patient care; Le Hung, Ph.D., in the Department of Investigational Cancer Therapeutics for patient database searches; and Tamara K. Locke in the Department of Scientific Publications at MD Anderson for editing the manuscript. Z. W. is supported in part by the National Natural Sciences Foundation, China (81101778 and 81472206).
Cancer Medicine 2016, 5(12):3437–3444
References
- 1. Bathan, A. J. , Constantinidou A., Pollack S. M., and Jones R. L.. 2013. Diagnosis, prognosis, and management of leiomyosarcoma: recognition of anatomic variants. Curr. Opin. Oncol. 25:384–389. [DOI] [PubMed] [Google Scholar]
- 2. Serrano, C. , and George S.. 2013. Leiomyosarcoma. Hematol. Oncol. Clin. North Am. 27:957–974. [DOI] [PubMed] [Google Scholar]
- 3. Gockley, A. A. , Rauh‐Hain J. A., and del Carmen M. G.. 2014. Uterine leiomyosarcoma: a review article. Int. J. Gynecol. Cancer 24:1538–1542. [DOI] [PubMed] [Google Scholar]
- 4. Li, Q. , Zhuang R., Zhu J., et al. 2015. Prognostic factors in patients with recurrent or metastatic retroperitoneal leiomyosarcoma. Future Oncol. 11:1759–1766. [DOI] [PubMed] [Google Scholar]
- 5. Ipach, I. , von Weyhern C. H., Kopp H. G., Kunze B., and Kluba T.. 2011. Extremity leiomyosarcoma metastasizing to the large bowel as a pedunculated colon polyp. J. Clin. Oncol. 29:e799–e802. [DOI] [PubMed] [Google Scholar]
- 6. Roland, C. L. , Boland G. M., Demicco E. G., et al. 2015. Clinical Observations and Molecular Variables of Primary Vascular Leiomyosarcoma. JAMA Surg. 151:1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Amant, F. , Coosemans A., Debiec‐Rychter M., Timmerman D., and Vergote I.. 2009. Clinical management of uterine sarcomas. Lancet Oncol. 10:1188–1198. [DOI] [PubMed] [Google Scholar]
- 8. Matsuda, M. , Ichimura T., Kasai M., et al. 2014. Preoperative diagnosis of usual leiomyoma, atypical leiomyoma, and leiomyosarcoma. Sarcoma 2014:498682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Hyman, D. M. , Grisham R. N., and Hensley M. L.. 2014. Management of advanced uterine leiomyosarcoma. Curr. Opin. Oncol. 26:422–427. [DOI] [PubMed] [Google Scholar]
- 10. George, S. , Feng Y., Manola J., et al. 2014. Phase 2 trial of aromatase inhibition with letrozole in patients with uterine leiomyosarcomas expressing estrogen and/or progesterone receptors. Cancer 120:738–743. [DOI] [PubMed] [Google Scholar]
- 11. Pautier, P. , Floquet A., Penel N., et al. 2012. Randomized multicenter and stratified phase II study of gemcitabine alone versus gemcitabine and docetaxel in patients with metastatic or relapsed leiomyosarcomas: a Federation Nationale des Centres de Lutte Contre le Cancer (FNCLCC) French Sarcoma Group Study (TAXOGEM study). The Oncologist 17:1213–1220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hensley, M. L. , Maki R., Venkatraman E., et al. 2002. Gemcitabine and docetaxel in patients with unresectable leiomyosarcoma: results of a phase II trial. J. Clin. Oncol. 20:2824–2831. [DOI] [PubMed] [Google Scholar]
- 13. Hensley, M. L. , Miller A., O'Malley D. M., et al. 2015. Randomized phase III trial of gemcitabine plus docetaxel plus bevacizumab or placebo as first‐line treatment for metastatic uterine leiomyosarcoma: an NRG Oncology/Gynecologic Oncology Group study. J. Clin. Oncol. 33:1180–1185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Hensley, M. L. , Wathen J. K., Maki R. G., et al. 2013. Adjuvant therapy for high‐grade, uterus‐limited leiomyosarcoma: results of a phase 2 trial (SARC 005). Cancer 119:1555–1561. [DOI] [PubMed] [Google Scholar]
- 15. Sutton, G. , Blessing J., Hanjani P., and Kramer P.; Gynecologic Oncology Group . 2005. Phase II evaluation of liposomal doxorubicin (Doxil) in recurrent or advanced leiomyosarcoma of the uterus: a Gynecologic Oncology Group study. Gynecol. Oncol. 96:749–752. [DOI] [PubMed] [Google Scholar]
- 16. Pautier, P. , Floquet A., Gladieff L., et al. 2013. A randomized clinical trial of adjuvant chemotherapy with doxorubicin, ifosfamide, and cisplatin followed by radiotherapy versus radiotherapy alone in patients with localized uterine sarcomas (SARCGYN study). A study of the French Sarcoma Group. Ann. Oncol. 24:1099–1104. [DOI] [PubMed] [Google Scholar]
- 17. Garcia del Muro, X. , Lopez‐Pousa A., Martin J., et al. 2005. A phase II trial of temozolomide as a 6‐week, continuous, oral schedule in patients with advanced soft tissue sarcoma: a study by the Spanish Group for Research on Sarcomas. Cancer 104:1706–1712. [DOI] [PubMed] [Google Scholar]
- 18. Pautier, P. , Floquet A., Chevreau C., et al. 2015. Trabectedin in combination with doxorubicin for first‐line treatment of advanced uterine or soft‐tissue leiomyosarcoma (LMS‐02): a non‐randomised, multicentre, phase 2 trial. Lancet Oncol. 16:457–464. [DOI] [PubMed] [Google Scholar]
- 19. Demetri, G. D. , Chawla S. P., von Mehren M., et al. 2009. Efficacy and safety of trabectedin in patients with advanced or metastatic liposarcoma or leiomyosarcoma after failure of prior anthracyclines and ifosfamide: results of a randomized phase II study of two different schedules. J. Clin. Oncol. 27:4188–4196. [DOI] [PubMed] [Google Scholar]
- 20. Schoffski, P. , Ray‐Coquard I. L., Cioffi A., et al. 2011. Activity of eribulin mesylate in patients with soft‐tissue sarcoma: a phase 2 study in four independent histological subtypes. Lancet Oncol. 12:1045–1052. [DOI] [PubMed] [Google Scholar]
- 21. Schoffski, P. , Chawla S., Maki R. G., et al. 2016. Eribulin versus dacarbazine in previously treated patients with advanced liposarcoma or leiomyosarcoma: a randomised, open‐label, multicentre, phase 3 trial. Lancet 387:1629–1637. [DOI] [PubMed] [Google Scholar]
- 22. Gadducci, A. , and Guerrieri M. E.. 2015. Pharmacological treatment for uterine leiomyosarcomas. Expert Opin. Pharmacother. 16:335–346. [DOI] [PubMed] [Google Scholar]
- 23. van der Graaf, W. T. , Blay J. Y., Chawla S. P., et al. 2012. Pazopanib for metastatic soft‐tissue sarcoma (PALETTE): a randomised, double‐blind, placebo‐controlled phase 3 trial. Lancet 379:1879–1886. [DOI] [PubMed] [Google Scholar]
- 24. Tap, W. D. , Jones R. L., Van Tine B. A., et al. 2016. Olaratumab and doxorubicin versus doxorubicin alone for treatment of soft‐tissue sarcoma: an open‐label phase 1b and randomised phase 2 trial. Lancet 388:488–497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Fu, S. , Hou M. M., Naing A., et al. 2015. Phase I study of pazopanib and vorinostat: a therapeutic approach for inhibiting mutant p53‐mediated angiogenesis and facilitating mutant p53 degradation. Ann. Oncol. 26:1012–1018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Hou, M. M. , Liu X., Wheler J., et al. 2014. Targeted PI3K/AKT/mTOR therapy for metastatic carcinomas of the cervix: a phase I clinical experience. Oncotarget 5:11168–11179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Therasse, P. , Arbuck S. G., Eisenhauer E. A., et al. 2000. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J. Natl Cancer Inst. 92:205–216. [DOI] [PubMed] [Google Scholar]
- 28. Eisenhauer, E. A. , Therasse P., Bogaerts J., et al. 2009. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur. J. Cancer 45:228–247. [DOI] [PubMed] [Google Scholar]
- 29. Yang, J. , Du X., Chen K., et al. 2009. Genetic aberrations in soft tissue leiomyosarcoma. Cancer Lett. 275:1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Lusby, K. , Savannah K. B., Demicco E. G., et al. 2013. Uterine leiomyosarcoma management, outcome, and associated molecular biomarkers: a single institution's experience. Ann. Surg. Oncol. 20:2364–2372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Davidson, B. , Abeler V. M., Forsund M., et al. 2014. Gene expression signatures of primary and metastatic uterine leiomyosarcoma. Hum. Pathol. 45:691–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Hernando, E. , Charytonowicz E., Dudas M. E., et al. 2007. The AKT‐mTOR pathway plays a critical role in the development of leiomyosarcomas. Nat. Med. 13:748–753. [DOI] [PubMed] [Google Scholar]
- 33. Meza‐Zepeda, L. A. , Kresse S. H., Barragan‐Polania A. H., et al. 2006. Array comparative genomic hybridization reveals distinct DNA copy number differences between gastrointestinal stromal tumors and leiomyosarcomas. Cancer Res. 66:8984–8993. [DOI] [PubMed] [Google Scholar]
- 34. Helman, L. J. , and Meltzer P.. 2003. Mechanisms of sarcoma development. Nat. Rev. Cancer 3:685–694. [DOI] [PubMed] [Google Scholar]
- 35. Guo, X. , Jo V. Y., Mills A. M., et al. 2015. Clinically Relevant Molecular Subtypes in Leiomyosarcoma. Clin. Cancer Res. 21:3501–3511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Pfister, N. T. , Fomin V., Regunath K., et al. 2015. Mutant p53 cooperates with the SWI/SNF chromatin remodeling complex to regulate VEGFR2 in breast cancer cells. Genes Dev. 29:1298–1315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Yuan, A. , Yu C. J., Luh K. T., Kuo S. H., Lee Y. C., and Yang P. C.. 2002. Aberrant p53 expression correlates with expression of vascular endothelial growth factor mRNA and interleukin‐8 mRNA and neoangiogenesis in non‐small‐cell lung cancer. J. Clin. Oncol. 20:900–910. [DOI] [PubMed] [Google Scholar]
- 38. Carmeliet, P. , Dor Y., Herbert J. M., et al. 1998. Role of HIF‐1alpha in hypoxia‐mediated apoptosis, cell proliferation and tumour angiogenesis. Nature 394:485–490. [DOI] [PubMed] [Google Scholar]
- 39. Grothey, A. , Sargent D., Goldberg R. M., and Schmoll H. J.. 2004. Survival of patients with advanced colorectal cancer improves with the availability of fluorouracil‐leucovorin, irinotecan, and oxaliplatin in the course of treatment. J. Clin. Oncol. 22:1209–1214. [DOI] [PubMed] [Google Scholar]
- 40. Arkenau, H. T. , Barriuso J., Olmos D., et al. 2009. Prospective validation of a prognostic score to improve patient selection for oncology phase I trials. J. Clin. Oncol. 27:2692–2696. [DOI] [PubMed] [Google Scholar]
- 41. Wheler, J. , Tsimberidou A. M., Hong D., et al. 2012. Survival of 1,181 patients in a phase I clinic: the MD Anderson Clinical Center for targeted therapy experience. Clin. Cancer Res. 18:2922–2929. [DOI] [PMC free article] [PubMed] [Google Scholar]