| Literature DB >> 19308694 |
Albrecht Reichle1, Thomas Vogt.
Abstract
Tumor-related activities that seem to be operationally induced by the division of function, such as inflammation, neoangiogenesis, Warburg effect, immune response, extracellular matrix remodeling, cell proliferation rate, apoptosis, coagulation effects, present itself from a systems perspective as an enhancement of complexity. We hypothesized, that tumor systems-directed therapies might have the capability to use aggregated action effects, as adjustable sizes to therapeutically modulate the tumor systems' stability, homeostasis, and robustness. We performed a retrospective analysis of recently published data on 224 patients with advanced and heavily pre-treated (10% to 63%) vascular sarcoma, melanoma, renal clear cell, cholangiocellular, carcinoma, hormone-refractory prostate cancer, and multivisceral Langerhans' cell histiocytosis enrolled in nine multi-center phase II trials (11 centers). Each patient received a multi-targeted systems-directed therapy that consisted of metronomic low-dose chemotherapy, a COX-2 inhibitor, combined with one or two transcription modulators, pioglitazone +/- dexamethasone or IFN-alpha. These treatment schedules may attenuate the metastatic potential, tumor-associated inflammation, may exert site-specific activities, and induce long-term disease stabilization followed by prolonged objective response (3% to 48%) despite poor monoactivity of the respective drugs. Progression-free survival data are comparable with those of reductionist-designed standard first-line therapies. The differential response patterns indicate the therapies' systems biological activity. Understanding systems biology as adjustable size may break through the barrier of complex tumor-stroma-interactions in a therapeutically relevant way: Comparatively high efficacy at moderate toxicity. Structured systems-directed therapies in metastatic cancer may get a source for detecting the topology of tumor-associated complex aggregated action effects as adjustable sizes available for targeted biomodulatory therapies.Entities:
Year: 2008 PMID: 19308694 PMCID: PMC2654356 DOI: 10.1007/s12307-008-0012-5
Source DB: PubMed Journal: Cancer Microenviron ISSN: 1875-2284
Combined targeting of (nuclear) transcription factors
| Tumor type | Metronomic Chemotherapy | No. of patients | Receptor agonist/antagonist | Publications | |||
|---|---|---|---|---|---|---|---|
| PPAR α/γ agonista | PPARδ antagonistb | Glucocorticoidc | IFN-αd | ||||
| Kaposi sarcoma | Trofosfamide | 1 | + | + | − | − | Arch Dermatol, 2004 |
| Angiosarcomas | Trofosfamide | 6 | + | + | − | − | Cancer, 2003 |
| Sarcomas I | Trofosfamide | 21 | + | + | − | − | Cancer, 2004 |
| Melanoma I | Trofosfamide | 19 | + | + | − | − | Cancer, 2004 |
| Melanoma II Arm A | 35 | − | − | − | − | Melanoma Research, 2007 | |
| Arm B | 32 | + | + | − | − | ||
| Langerhans’ cell histiocytosis | Trofosfamide | 2 | + | + | − | − | Br. J.Haematol, 2005 |
| Renal clear cell carcinoma I | Capecitabine | 18 | + | + | − | − | Biomarker Insights, 2006 |
| Renal clear cell carinoma II | Capecitabine | 33 | + | + | − | + | Biomarker Insights, 2006 |
| Hormone-refractory prostate cancer | Capecitabine | 36 | + | + | + | − | Lancet Oncology, 2006 ASCO abstract, 2007 |
| Cholangiocellular carcinoma | Capecitabine | 21 | + | + | − | − | Tumor Microenvironment Prague, 2004 (Medimond) |
PPAR peroxisome proliferator-activated receptor
aPioglitazone
bSelective COX-2 inhibitor
cdexamethasone
dinterferon-α
Combined targeting of angiogenesis and inflammation: efficacy
| Tumor type | Response | |||
|---|---|---|---|---|
| No. of patients | Partial response % | Complete response % | cCR % | |
| Sarcomas I | 21 | 19 | 16 | 5 |
| Angiosarcomas | 6 | 17 | 33 | 17 |
| Melanoma I | 19 | 10 | 5 | 0 |
| Melanoma II Arm B | 35 | 9 | 3 | 3 |
| Langerhans’ cell histiocytosis | 2 | – | 100 | 100 |
| Renal clear cell carcinoma I (no IFN-a) | 18 | 0 | 0 | 0 |
| Renal clear cell carinoma II (plus IFN-a) | 33 | 35 | 13 | 6 |
| Hormone-refractory prostate cancer | 36 | 28 | 6 | 6 |
| Cholangiocellular carcinoma | 21 | 24 | 5 | 5 |
Progression-free/overall survival with combined angiostatic plus anti-inflammatory therapy
| Trial | Treatment | Median Progression-free/overall survival (months) | |||
|---|---|---|---|---|---|
| Angiostatic | Anti-inflammatory | % pretreated patients | Trial | Historical control (first- line) | |
| RCCC I | Capecitabine | Pio/Rofe | 39 | 4.7/16.2 | |
| RCCC II | Capecitabine | Pio/Eto/IFN-α | 21 | 11.5/25.6 | 11.0/n.a.(for sunitinib) |
| HRPC | Capecitabine | Pio/Eto/Dexa | 39 | 3.6/14.4 | n. a./17.5 (for taxotere) |
| Melanoma II | |||||
| Arm A | Trofosfamide | – | 63 | 1.2/8.2 | n.a./5.6 (for DTIC) |
| Arm B | Trofosfamide | Pio/Rofe | 60 | 2.0/18.8 | |
| Cholangiocellular carcinoma | Capecitabine | Pio/Rofe | 10 | 2.0/8.0 | PR plus stable disease 20–73% |
Pio pioglitazone, Rofe rofecoxib, Eto etoricoxib, RCCC renal clear cell carcinoma, HRPC hormone refractory prostate cancer, n.a. not available
Tumor-associated inflammation in metastatic cancer
| Trial | Frequency of CRP elevation >10 mg/L (%) | CRP >30% response (% patients) | Significance of CRP response during 2 to 6 weeks on treatment | Improvement of ECOG status % patients | Progression-free survival and overall survival |
|---|---|---|---|---|---|
| RenaI clear cell carcinoma I | 72 | 69 | p = 0.32 | 22 | Significant improvement of PFS and OS in RCCC II (non randomized) |
| Renal clear cell carcinoma II | 100 | 100 | p = 0.0005 | 24 | |
| Hormone-refractory prostate cancer* | 28 | 11 | p = 0.67 | 30 | |
| Melanoma I | 81 | 88 | p = 0.004 | 19 | |
| Melanoma II | |||||
| Arm A | 87 | 6 | p = 0.52 | 0 | Significant improvement of overall survival (CRP responder) |
| Arm B (randomized) | 100 | 69 | p = 0.0007 | 27 | |
| Sarcoma | 79 | 74 | p = 0.006 | 28 | |
| Angiosarcoma * | 100 | 100 | – | – | |
| Langerhans’ cell histiocytosis | 100 | 100 | – | 100 |
*Resolution of paraneoplastic syndromes: lupus erythematodes, hypoglycaemia
Toxicities WHO Grade 3 (no Grade 4 toxicities) within all seven trials (n = 224 patients)
| Toxicity | No. of patients (%) | Trial | Toxicity related to the following drug |
|---|---|---|---|
| Cushing syndrome | 1 (0.4) | HRPC | Dexamethasone |
| Depression | 1 (0.4) | RCCC | Interferon-alpha |
| Hand-Foot-Syndrome | 5 (2.2) | CCC, HRPC | Capecitabine |
| Hematotoxicity | 14 (6.2) | All trials | Metronomic chemotherapy |
| Edema | 5 (2.2) | All trials | COX-2 inhibitor |
| Nausea/Vomiting | 3 (1.3) | All trials | – |
CCC=cholangiocellular carcinoma, RCCC=renal clear cell carcinoma, HRPC=hormone refractory prostate cancer
Combined targeting of angiogenesis and inflammation: patients with progressive disease
| Tumor type | No. of patients | Targeted (nuclear) transcription factors | Progressive disease No. of patients (%) |
|---|---|---|---|
| Sarcomas I | 21 | PPAR α/γ, PPAR δ | 4 (19) |
| Angiosarcoma | 6 | PPAR α/γ, PPAR δ | 0 |
| Melanoma I | 19 | PPAR α/γ, PPAR δ | 4 (21) |
| Melanoma II Arm B | 35 | PPAR α/γ, PPAR δ | 6 (17) |
| Langerhans’ cell histiocytosis | 2 | PPAR α/γ, PPAR δ | 0 |
| Renal clear cell carcinoma I | 18 | PPAR α/γ, PPAR δ | 9 (50) |
| Renal clear cell carcinoma II | 33 | PPAR α/γ PPAR δ via IFN-α receptor | 2 (7) |
| Hormone-refractory prostate cancer | 36 | PPAR α/γ, PPAR δ glucocorticoid receptor | 5 (14) |
| Cholangiocellular carcinoma | 21 | PPAR α/γ, PPAR δ | 0 |
Receptor ligands: PPAR α/γ agonist, PPARδ antagonist (COX-2 inhibitor), dexamethasone, interferon-alpha
PPAR peroxisome proliferator-activated receptor
Fig. 1The differential response patterns within our clinical trials indicate the therapies’ systems biological activity. Understanding systems biology as adjustable size may break through the barrier of complex tumor–stroma-interactions in a therapeutically relevant way: Comparatively high efficacy at moderate toxicity. Structured systems-directed therapies in metastatic cancer may get a source for detecting tumor-associated complex aggregated action effects as adjustable sizes available for targeted biomodulatory therapies