Specific growth rate versus doubling time for quantitative characterization of tumor growth rate

MDCT evaluation of the growth kinetics of serous and benign mucinous cystic neoplasms of the pancreas

We assessed the growth kinetics of pathologically proven benign neoplastic cystic lesions of the pancreas. The volume and longest axial diameter (LAD) of 20 pathologically proven pancreatic cystic lesions (12 mucinous cystic neoplasms (MCN) and 8 serous cystadenomas (SCN)) on 2 multidetector computed tomography scans, obtained before resection, were measured. Reciprocal of doubling time, doubling time and growth rate based on volume and LAD were calculated. A P value <0.05 was considered significant. For all cysts, growth kinetics based on volume were: reciprocal of doubling time (mean = 3.03, median=1.0), doubling time (mean = 644, median = 388 days) and growth rate (mean = 74.7, median = 5.7 ml/year). Results based on LAD were: reciprocal of doubling time (mean = 3.09, median = 1.3), doubling time (mean = 752, median = 273 days) and growth rate (mean = 24.5, median = 5.6 mm/year). These variables were not statistically different between MCNs and SCNs (P > 0.05 in all instances). Reciprocal of doubling time based on volume and LAD were comparable (P > 0.05). We concluded that the mean reciprocal of doubling time was 3.03 and 3.09 using volume and LAD, respectively. This may aid in designing follow-up guidelines for pancreatic cysts.

Objective assessment of tumour response to therapy based on tumour growth kinetics

Background:

Current standards for assessment of tumour response to therapy (a) categorise therapeutic efficacy values, inappropriate for patient-specific and deterministic studies, (b) neglect the natural growth characteristics of tumours, (c) are based on tumour shrinkage, inappropriate for cytostatic therapies, and (d) do not accommodate integration of functional/biological means of therapeutic efficacy assessed with, for example, positron emission tomography or magnetic resonance imaging, with data from anatomical changes in tumour.

Methods:

A quantity for tumour response was formulated assuming that an effective treatment may decrease the cell proliferation rate (cytostatic) and/or increase the cell loss rate (cytotoxic) of the tumour. Tumour response values were analysed for 11 non-Hodgkin's lymphoma patients treated with ¹³¹I-labelled anti-B1 antibody and 12 prostate cancer patients treated with a nutritional supplement.

Results:

Tumour response was found to be equal to the logarithm of the ratio of post-treatment tumour volume to the volume of corresponding untreated tumour. Neglecting the natural growth characteristics of tumours results in underestimation of treatment effectiveness based on currently used methods. The model also facilitates the integration of data from tumour volume changes, with data from functional imaging.

Conclusion:

Tumour response to therapy can be assessed with a continuous dimensionless quantity for both cytotoxic and cytostatic treatments.

ErbB2 enhances mammary tumorigenesis, oncogene-independent recurrence and metastasis in a model of IGF-IR-mediated mammary tumorigenesis

Background

The type I insulin-like growth factor receptor (IGF-IR) and ErbB2 (Her-2) are receptor tyrosine kinases implicated in human breast cancer. Both proteins are currently the subject of targeted therapeutics that are used in the treatment of breast cancer or which are in clinical trials. The focus of this study was to utilize our inducible model of IGF-IR overexpression to explore the interaction of these two potent oncogenes.

Results

ErbB2 was overexpressed in our RM11A cell line, a murine tumor cell line that overexpresses human IGF-IR in an inducible manner. ErbB2 conferred an accelerated tumor onset and increased tumor incidence after injection of RM11A cells into the mammary glands of syngeneic wild type mice. This was associated with increased proliferation immediately after tumor cell colonization of the mammary gland; however, this effect was lost after tumor establishment. ErbB2 overexpression also impaired the regression of established RM11A tumors following IGF-IR downregulation and enhanced their metastatic potential.

Conclusion

This study has revealed that even in the presence of vast IGF-IR overexpression, a modest increase in ErbB2 can augment tumor establishment in vivo, mediate resistance to IGF-IR downregulation and facilitate metastasis. This supports the growing evidence suggesting a possible advantage of using IGF-IR and ErbB2-directed therapies concurrently in the treatment of breast cancer.

Evaluation of a Schiff base copper complex compound as potent anticancer molecule with multiple targets of action

Copper is a biologically relevant metal as it is associated with various biomolecules related to essential physiological activities. Anticancer compounds with copper as a metal center is hypothesized to be less toxic and more potent. In the present study we have tested the efficacy of a family of Schiff base copper complexes of which the best compound was [Cu(Pyimpy)Cl(2)] where Pyimpy is a tridentate ligand containing two pyridine and one imine nitrogen donor. [Cu(Pyimpy)Cl(2)], represented as CuP1, was checked for its anticancer potential. The IC(50) value of CuP1 was found to be 4.29±0.42, 6.34±0.58 and 5.32±0.38 μM in MCF-7, PC3 and HEK 293 cells respectively. It was found to cause in vitro DNA fragmentation in comet assays and acridine orange staining of MCF 7 cells. CuP1 was further tested on rat breast tumor models and was found to inhibit tumor growth. It caused apoptosis within the tumor by the up regulation of caspase pathway and inhibition of the Akt, matrix metalloproteinase 9 and α-methyl acyl CoA racemase. Antioxidant enzymes which in general results in drug resistant condition in tumor tissues were significantly inhibited by this copper compound (P<0.05). Further, CuP1 did not show any prominent systemic toxicity. These results indicate that CuP1 can be a potential anticancer agent and further investigation will reveal more about its mode of action.

Oscillations in growth of multicellular tumour spheroids: a revisited quantitative analysis

OBJECTIVES

Multicellular tumour spheroids (MTS) provide an important tool for study of the microscopic properties of solid tumours and their responses to therapy. Thus, observation of large-scale volume oscillations in MTS, reported several years ago by two independent groups (1,2), in our opinion represent a remarkable discovery, particularly if this could promote careful investigation of the possible occurrence of volume oscillations of tumours 'in vivo'.

MATERIALS AND METHODS

Because of high background noise, quantitative analysis of properties of observed oscillations has not been possible in previous studies. Such an analysis can be now performed, thanks to a recently proposed approach, based on formalism of phenomenological universalities (PUN).

RESULTS

Results have provided unambiguous confirmation of the existence of MTS volume oscillations, and quantitative evaluation of their properties, for two tumour cell lines. Proof is based not only on quality of fitting of the experimental datasets, but also on determination of well-defined values of frequency and amplitude of the oscillations for each line investigated, which would not be consistent with random fluctuation.

CONCLUSIONS

Biological mechanisms, which can be directly responsible for observed oscillations, are proposed, which relates also to recent work on related topics. Further investigations, both at experimental and at modelling levels, are also suggested. Finally, from a methodological point of view, results obtained represent further confirmation of applicability and usefulness of the PUN approach.

Modeling progression in radiation-induced lung adenocarcinomas

Quantitative multistage carcinogenesis models are used in radiobiology to estimate cancer risks and latency periods (time from exposure to clinical cancer). Steps such as initiation, promotion and transformation have been modeled in detail. However, progression, a later step during which malignant cells can develop into clinical symptomatic cancer, has often been approximated simply as a fixed lag time. This approach discounts important stochastic mechanisms in progression and evidence on the high prevalence of dormant tumors. Modeling progression more accurately is therefore important for risk assessment. Unlike models of earlier steps, progression models can readily utilize not only experimental and epidemiological data but also clinical data such as the results of modern screening and imaging. Here, a stochastic progression model is presented. We describe, with minimal parameterization: the initial growth or extinction of a malignant clone after formation of a malignant cell; the likely dormancy caused, for example, by nutrient and oxygen deprivation; and possible escape from dormancy resulting in a clinical cancer. It is shown, using cohort simulations with parameters appropriate for lung adenocarcinomas, that incorporating such processes can dramatically lengthen predicted latency periods. Such long latency periods together with data on timing of radiation-induced cancers suggest that radiation may influence progression itself.

Anti-melanoma efficacy of internal radionuclide therapy in relation to melanin target distribution

Targeted internal radionuclide therapy (TRT) could be an efficient, specific way to treat disseminated melanoma. Based on a previous pharmacomodulation study, we selected a quinoxaline-derived molecule (ICF01012) for its melanin specificity and kinetic properties suitable for TRT. Here, we determined the efficacy of [(131)I]ICF01012 radiotherapy in vitro and in vivo in relation to melanogenesis using human melanoma models. [(125)I]ICF01012 uptake was first assessed in relation to melanin content. We found that melanin distribution in different models was representative of pathology seen in human tumours: melanin content was high in the extracellular space of SKMel3 tumours, and accumulated primarily in melanophages in M4Beu tumours. Targeted [(131)I]ICF01012 radiotherapy had a strong anti-tumoural efficacy in pigmented versus unpigmented tumours, regardless of target distribution and content. This study supports the use of melanin targeting with (131)I-labelled iodoquinoxaline for effective treatment of melanoma.

Stochastic population dynamic effects for lung cancer progression

The multistage paradigm is widely used in quantitative analyses of radiation-influenced carcinogenesis. Steps such as initiation, promotion and transformation have been investigated in detail. However, progression, a later step during which malignant cells produced in the earlier steps can develop into clinical cancer, has received less attention in computational radiobiology; it has often been approximated deterministically as a fixed, comparatively short, lag time. This approach overlooks important mechanisms in progression, including stochastic extinction, possible radiation effects on tumor growth, immune suppression and angiogenic bottlenecks. Here we analyze tumor progression in background and in radiation-induced lung cancers, emphasizing tumor latent times and the stochastic extinction of malignant lesions. A Monte Carlo cell population dynamics formalism is developed by supplementing the standard two-stage clonal expansion (TSCE) model with a stochastic birth-death model for proliferation of malignant cells. Simulation results for small cell lung cancers and lung adenocarcinomas show that the effects of stochastic malignant cell extinction broaden progression time distributions drastically. We suggest that fully stochastic cancer progression models incorporating malignant cell kinetics, dormancy (a phase in which tumors remain asymptomatic), escape from dormancy, and invasiveness, with radiation able to act directly on each phase, need to be considered for a better assessment of radiation-induced lung cancer risks.

Targeted radionuclide therapy of melanoma: anti-tumoural efficacy studies of a new 131I labelled potential agent

In recent years, there has been dramatic worldwide increase in incidence of malignant melanoma. Although localised disease is often curable by surgical excision, metastatic melanoma is inherently resistant to most treatments. In this context, targeted radionuclide therapy could be an efficient alternative. After pharmacomodulation study, we selected a quinoxaline derivative molecule (ICF01012) for its high, specific and long-lasting uptake in melanoma with rapid clearance from nontarget organs providing suitable dosimetry parameters for targeted radiotherapy. Aim of this study was to investigate, in vivo, efficacy of [(131)I]ICF01012 on nonmetastatic B16F0, metastatic B16Bl6 or human M4Beu melanoma tumours. First, colocalisation of ICF01012 with melanin by SIMS imaging was observed. Second, we showed that treatment drastically inhibited growth of B16F0, B16Bl6 and M4beu tumours whereas [(131)I]NaI or unlabelled ICF01012 treatment was without significant effect. Histological analysis and measure of PCNA proliferation marker expression showed that residual B16 tumour cells exhibit a significant loss of aggressiveness after treatment. This effect is associated with a lengthening of the treated-mice survival time. Moreover, with B16Bl6 model, 55% of the untreated mice had lung metastases whereas no metastasis was counted on treated group. Our data demonstrated a strong anti-tumoural effect of [(131)I]ICF01012 for radionuclide therapy on murine and human in vivo pigmented melanoma models, whatever their dissemination profiles and their melanin content be. Further studies will attempt to optimise therapy protocol by increasing the balance between the anti-tumoural effect and the safety on non-target organs.

Quantitative analysis of tumor growth rate and changes in tumor marker level: specific growth rate versus doubling time

BACKGROUND

Doubling time (DT) of tumor volume has been widely used to estimate the growth rate of tumors. However, DT gives incorrect estimates of the average growth rate of tumors when the uncertainty of growth rate is considerable. Specific growth rate (SGR) is less affected by uncertainties and is a more relevant parameter. Optimized imaging techniques and prolonged interval between observations can reduce the uncertainty of growth rate estimation. DT is also used for defining changes in tumor marker level. The aim of this study was to compare DT and SGR as measures of growth rate when the uncertainty is negligible.

METHODS

Mathematical analysis and computer simulations were carried out assuming no uncertainty of growth rate estimation. Data from two previously published clinical studies were assessed by both variables.

RESULTS

Due to the non-linear relationship between DT and SGR, using these variables does not give similar results. The variation of DT is not uniformly indicating variations of the growth rate. DT largely overestimates the difference in growth rate of slowly growing tumors and underestimates the difference in growth rate of rapidly growing tumors. On the other hand, SGR uniformly indicates the difference between growth rates throughout all ranges. Quantitative analysis of clinical observations can lead to contradictory results depending on the variable used for growth rate.

CONCLUSION

The growth rate of tumor volume should be expressed by SGR, or percentage increase per unit time, regardless of the level of the uncertainty of growth rate estimation. This conclusion is also valid for changes in tumor marker level, whether it is correlated with the growth rate of tumor volume or not.

EGFRvIII and c-Met pathway inhibitors synergize against PTEN-null/EGFRvIII+ glioblastoma xenografts

Receptor tyrosine kinase (RTK) systems, such as hepatocyte growth factor (HGF) and its receptor c-Met, and epidermal growth factor receptor (EGFR), are responsible for the malignant progression of multiple solid tumors. Recent research shows that these RTK systems comodulate overlapping and dynamically adaptable oncogenic downstream signaling pathways. This study investigates how EGFRvIII, a constitutively active EGFR deletion mutant, alters tumor growth and signaling responses to RTK inhibition in PTEN-null/HGF(+)/c-Met(+) glioma xenografts. We show that a neutralizing anti-HGF monoclonal antibody (L2G7) potently inhibits tumor growth and the activation of Akt and mitogen-activated protein kinase (MAPK) in PTEN-null/HGF(+)/c-Met(+)/EGFRvIII(-) U87 glioma xenografts (U87wt). Isogenic EGFRvIII(+) U87 xenografts (U87-EGFRvIII), which grew five times more rapidly than U87-wt xenografts, were unresponsive to EGFRvIII inhibition by erlotinib and were only minimally responsive to anti-HGF monoclonal antibodies. EGFRvIII expression diminished the magnitude of Akt inhibition and completely prevented MAPK inhibition by L2G7. Despite the lack of response to L2G7 or erlotinib as single agents, their combination synergized to produce substantial antitumor effects (inhibited tumor cell proliferation, enhanced apoptosis, arrested tumor growth, prolonged animal survival), against subcutaneous and orthotopic U87-EGFRvIII xenografts. The dramatic response to combining HGF:c-Met and EGFRvIII pathway inhibitors in U87-EGFRvIII xenografts occurred in the absence of Akt and MAPK inhibition. These findings show that combining c-Met and EGFRvIII pathway inhibitors can generate potent antitumor effects in PTEN-null tumors. They also provide insights into how EGFRvIII and c-Met may alter signaling networks and reveal the potential limitations of certain biochemical biomarkers to predict the efficacy of RTK inhibition in genetically diverse cancers.

Phase II study of the proteasome inhibitor bortezomib (PS-341, Velcade) in chemotherapy-naïve patients with advanced stage non-small cell lung cancer (NSCLC)

The primary objective of this study was to determine the objective response rate of bortezomib as a first-line therapy in patients advanced stage NSCLC. Advanced/metastatic NSCLC patients with measurable disease, adequate organ function, ECOG performance status of 0-2, and no prior chemotherapy for metastatic disease were eligible. Patients received intravenously bolus bortezomib 1.3mg/m(2)/day on days 1, 4, 8 and 11 every 21 days for a maximum of 8 cycles, or until disease progression, or unacceptable toxicity. Tumor response was evaluated after every 2 cycles of therapy. This single-arm phase II study employed the Simon's two-stage design. The study was terminated in the first stage after 14 patients enrolled at 4 institutions. No objective response was observed. Three patients (21%) had stable disease and received 8, 6 and 4 cycles of treatment; the duration of stable disease was 11.5, 4.2 and 3.4 months, respectively. Median time to progression was 1.3 months (95% CI, 0.6-3.0 months); median overall survival (OS) was 9.9 months (95% CI, 2.2-27.0 months). Twelve patients received at least one dose of bortezomib. There were no grade 4 toxicities or treatment related deaths. Grade 3 toxicities included fatigue (N=1, 8%), deep vein thrombosis (N=1, 8%) and thrombocytopenia (N=1, 8%). Although well tolerated, bortezomib monotherapy is not active in this cohort of chemotherapy-naïve, metastatic NSCLC.

Akt-dependent proapoptotic effects of dietary restriction on late-stage management of a phosphatase and tensin homologue/tuberous sclerosis complex 2-deficient mouse astrocytoma

PURPOSE

Malignant astrocytomas exhibit constitutive Akt phosphorylation due to reduced phosphatase and tensin homologue (PTEN) tumor suppressor expression or to increased growth factor receptor tyrosine kinase activation. Many astrocytomas are also tuberous sclerosis complex 2 (TSC2) protein deficient and exhibit constitutive mammalian target of rapamycin (mTOR) activity. Astrocytomas harboring PTEN/Akt/TSC2 pathway mutations are dependent on glycolysis to satisfy their bioenergetic requirements. Therapies that disrupt energy homeostasis can potentially manage astrocytoma growth and progression. Although dietary restriction (DR) reduces glycolysis and manages early-stage astrocytoma growth, no prior studies have identified the mechanisms involved or determined if DR can also manage late-stage tumor growth.

EXPERIMENTAL DESIGN

The effects of a late-onset intermittent DR feeding paradigm were examined in adult C57BL/6J mice bearing the syngeneic CT-2A malignant astrocytoma grown orthotopically or subcutaneously.

RESULTS

In contrast to contralateral normal brain, CT-2A was PTEN/TSC2 protein deficient; exhibited constitutive Akt, mTOR, and BAD phosphorylation; and overexpressed insulin-like growth factor-I (IGF-I), IGF-I receptor, hypoxia-inducible transcription factor-1alpha (HIF-1alpha), type 1 glucose transporter protein (GLUT1), and pyruvate kinase. DR initiated 10 to 14 days after tumor implantation (late onset) reduced CT-2A growth, delayed malignant progression, and significantly extended survival. DR suppressed phosphorylation of Akt and BAD while reducing expression of IGF-I, HIF-1alpha, and GLUT1. DR also enhanced procaspase-9/procaspase-3 cleavage but had no effect mTOR phosphorylation.

CONCLUSIONS

Our findings indicate that IGF-I/Akt signaling is associated with the antiapoptotic and glycolytic phenotype of the CT-2A astrocytoma and that DR targets this pathway. Moreover, PTEN/TSC2 deficiency may impair adaptation to the DR-induced disruption of energy homeostasis, thus enhancing apoptosis. Our findings highlight the efficacy of late-onset DR in managing astrocytoma growth and suggest that DR may be an effective broad-spectrum inhibitor of Akt signaling in PTEN/TSC2-deficient astrocytomas.

Determinants of renal volume in autosomal-dominant polycystic kidney disease

The Consortium of Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) recently showed that renal enlargement in autosomal-dominant polycystic kidney disease mimicked exponential growth. We determined the effects of cyst initiation rate, total number, and growth rate on the time-dependent change of total cyst volume (TCV). Mathematical models with equations integrating cyst surface area, volume, and an invariant growth rate constant were used to compute the time-dependent change in volume of solitary and multiple cysts. Multiple expanding cysts increased TCV in an exponential-like pattern even when individual cysts formed at different rates or exhibited different but constant growth rates. TCV depended on the rate of cyst initiation and on the total number of cysts; however, the compounding effect of exponential-like growth was the most powerful determinant of long-term cyst expansion. Extrapolation of TCV data plots for individual subjects back to an age of 18 predicted TCV values within an established range. We conclude that cysts started early in life were the main contributor to eventual TCV while their growth rate primarily determined renal size; although the rate of formation and the ultimate number of cysts also contributed. The good fit between the exponential models and the extrapolated CRISP data indicates that the TCV growth rate is a defining trait for individual patients and may be used as a prognostic marker.