Survival impact of centralization and clinical guidelines for soft tissue sarcoma (A prospective and exhaustive population-based cohort).

PURPOSE: The outcome of sarcoma has been suggested in retrospective and non-exhaustive studies to be better through management by a multidisciplinary team of experts and adherence to clinical practice guidelines (CPGs). The aim of this prospective and exhaustive population based study was to confirm the impact of adherence to CPGs on survival in patients with localized sarcoma. EXPERIMENTAL DESIGN: Between 2005 and 2007, all evaluable adult patients with a newly diagnosis of localized sarcoma located in Rhone Alpes region (n = 634), including 472 cases of soft-tissue sarcoma (STS), were enrolled. The prognostic impact of adherence to CPGs on progression-free survival (PFS) and overall survival (OS) was assessed by multivariate Cox model in this cohort. RESULTS: The median age was 61 years (range 16-92). The most common subtypes were liposarcoma (n = 133, 28%), unclassified sarcoma (n = 98, 20.7%) and leiomyosarcoma (n = 69, 14.6%). In the initial management phase, from diagnosis to adjuvant treatment, the adherence to CPGs for patients with localized STS was 36% overall, corresponding to 56%, 85%, 96% and 84% for initial surgery, radiation therapy, chemotherapy and follow-up, respectively. Adherence to CPGs for surgery was the strongest independent prognostic factor of PFS, along with age, gender, grade, and tumor size. For OS, multivariate analysis adherence to CPGs for surgery was a strong independent prognostic factor, with an important interaction with a management in the regional expert centers. CONCLUSIONS: This study demonstrates impact of CPGs and treatment within an expert center on survival for STS patients in a whole population-based cohort.

Transferability of health cost evaluation across locations in oncology: cluster and principal component analysis as an explorative tool.

BACKGROUND: The transferability of economic evaluation in health care is of increasing interest in today's globalized environment. Here, we propose a methodology for assessing the variability of data elements in cost evaluations in oncology. This method was tested in the context of the European Network of Excellence "Connective Tissues Cancers Network". METHODS: Using a database that was previously aimed at exploring sarcoma management practices in Rhône-Alpes (France) and Veneto (Italy), we developed a model to assess the transferability of health cost evaluation across different locations. A nested data structure with 60 final factors of variability (e.g., unit cost of chest radiograph) within 16 variability areas (e.g., unit cost of imaging) within 12 objects (e.g., diagnoses) was produced in Italy and France, separately. Distances between objects were measured by Euclidean distance, Mahalanobis distance, and city-block metric. A hierarchical structure using cluster analysis (CA) was constructed. The objects were also represented by their projections and area of variability through correlation studies using principal component analysis (PCA). Finally, a hierarchical clustering based on principal components was performed. RESULTS: CA suggested four clusters of objects: chemotherapy in France; follow-up with relapse in Italy; diagnosis, surgery, radiotherapy, chemotherapy, and follow-up without relapse in Italy; and diagnosis, surgery, and follow-up with or without relapse in France. The variability between clusters was high, suggesting a lower transferability of results. Also, PCA showed a high variability (i.e. lower transferability) for diagnosis between both countries with regard to the quantities and unit costs of biopsies. CONCLUSION: CA and PCA were found to be useful for assessing the variability of cost evaluations across countries. In future studies, regression methods could be applied after these methods to elucidate the determinants of the differences found in these analyses.

Territorial inequalities in management and conformity to clinical guidelines for sarcoma patients: an exhaustive population-based cohort analysis in the Rhône-Alpes region.

BACKGROUND: Sarcomas are rare cancers with great variability in clinical and histopathological presentation. The main objective of clinical practice guidelines (CPGs) is to standardize diagnosis and treatment. METHODS: From March 2005 to February 2007, all patients diagnosed with localized sarcoma in the Rhône-Alpes region were included in a cohort-based study, to evaluate the compliance of sarcoma management with French guidelines in routine practice and to identify predictive factors for compliance with CGPs. RESULTS: 634 (71 %) patients with localized sarcoma satisfying the inclusion criteria were included out of 891 newly diagnosed sarcomas. Taking into account initial diagnosis until follow-up, overall conformity to CPGs was only 40 % [95 % confidence interval (CI) = 36-44], ranging from 54 % for gastrointestinal stromal tumor to 36 % for soft tissue sarcoma and 42 % for bone sarcoma. In multivariate analysis, primary tumor type [relative risk (RR) = 4.42, 95 % CI = 2.79-6.99, p < 0.001], dedicated multidisciplinary staff before surgery (RR = 4.19, 95 % CI = 2.39-7.35, p < 0.001) and management in specialized hospitals (RR = 3.71, 95 % CI = 2.43-5.66, p < 0.001) were identified as unique independent risk factors for conformity to CPGs for overall treatment sequence. CONCLUSIONS: With only 40 % of total conformity to CPGs, the conclusions support the improvement of initial sarcoma management and its performance in specialized centres or within specialized dedicated networks.

How can the quality of medical data in pharmacovigilance, pharmacoepidemiology and clinical studies be guaranteed?

The development of medicinal products is subject to quality standards aimed at guaranteeing that database contents accurately reflect the source documents. Paradoxically, these standards hardly address the quality of the source data itself. The objective of this work was to propose recommendations to improve data quality in three fields (pharmacovigilance, pharmacoepidemiology and clinical studies). The analysis was focused on the data and on the critical stages presenting critical quality problems, for which the current guidelines are insufficiently detailed, unsuitable and/or poorly applied. Finally, recommendations have been proposed, mainly focused on the origin of the data and its transcription.

Personalized Medicine: how to Switch from the Concept to the Integration into the Clinical Development Plan to Obtain Marketing Authorization.

One of the challenges of the coming years is to personalize medicine in order to provide each patient with an individualized treatment plan. The three objectives of personalized medicine are to refine diagnosis, rationalize treatment and engage patients in a preventive approach. Personalization can be characterized by various descriptors whether related to the field, biology, imaging, type of lesion of the entity to be treated, comorbidity factors, coprescriptions or the environment As part of personalized medicine focused on biological markers including genetics or genomics, the integration of the clinical development plan to obtain marketing authorization may be segmented in 3 stages with a known descriptor identified before clinical development, a known descriptor discovered during clinical development or a known descriptor known after clinical development. For each stage, it is important to clearly define the technical optimization elements, to specify the expectations and objectives, to examine the methodological aspects of each clinical development phase and finally to consider the fast changing regulatory requirements in view of the few registered therapeutics complying with the definition of personalized medicine as well as the significant technological breakthroughs according to the screened and selected biomarkers. These considerations should be integrated in view of the time required for clinical development from early phase to MA, i.e. more than 10 years. Moreover, business models related to the economic environment should be taken into account when deciding whether or not to retain a biomarker allowing the selection of target populations in a general population.

Incidence of sarcoma histotypes and molecular subtypes in a prospective epidemiological study with central pathology review and molecular testing.

BACKGROUND: The exact overall incidence of sarcoma and sarcoma subtypes is not known. The objective of the present population-based study was to determine this incidence in a European region (Rhone-Alpes) of six million inhabitants, based on a central pathological review of the cases. METHODOLOGY/PRINCIPAL FINDINGS: From March 2005 to February 2007, pathology reports and tumor blocks were prospectively collected from the 158 pathologists of the Rhone-Alpes region. All diagnosed or suspected cases of sarcoma were collected, reviewed centrally, examined for molecular alterations and classified according to the 2002 World Health Organization classification. Of the 1287 patients screened during the study period, 748 met the criteria for inclusion in the study. The overall crude and world age-standardized incidence rates were respectively 6.2 and 4.8 per 100,000/year. Incidence rates for soft tissue, visceral and bone sarcomas were respectively 3.6, 2.0 and 0.6 per 100,000. The most frequent histological subtypes were gastrointestinal stromal tumor (18%; 1.1/100,000), unclassified sarcoma (16%; 1/100,000), liposarcoma (15%; 0.9/100,000) and leiomyosarcoma (11%; 0.7/100,000). CONCLUSIONS/SIGNIFICANCE: The observed incidence of sarcomas was higher than expected. This study is the first detailed investigation of the crude incidence of histological and molecular subtypes of sarcomas.

EGFR and HER3 mRNA expression levels predict distant metastases in locally advanced rectal cancer.

Aberrant activation of the HER signaling pathways plays a critical role in the invasive and metastatic potential of tumors. The aim of this study was to address whether, in rectal cancer, alterations of these pathways could have a value as prognostic factors to be used to identify patients who are at risk of distant metastases. Therefore, the mRNA expression of the four members of the HER family as well as the frequency of PTEN allelic loss and KRAS/BRAF mutations were determined in pretreatment biopsies from a series of 100 locally advanced rectal cancers and then their ability to predict distant metastases was evaluated. Over-expression of EGFR (p = 0.021), HER2 (p = 0.011) and HER3 (p = 0.020) was significantly associated with worse metastasis-free survival in univariate analysis. In multivariate analysis, both over-expression of EGFR (p = 0.028) and HER3 (p = 0.011) remained independent prognostic factors for distant metastasis. In conclusion, quantification of EGFR and HER3 mRNA expression in pretreatment biopsies may be useful to identify patients who are at risk of developing metastases.

Epidemiological evaluation of concordance between initial diagnosis and central pathology review in a comprehensive and prospective series of sarcoma patients in the Rhone-Alpes region.

BACKGROUND: Sarcomas are rare malignant tumors. Accurate initial histological diagnosis is essential for adequate management. We prospectively assessed the medical management of all patients diagnosed with sarcoma in a European region over a one-year period to identify the quantity of first diagnosis compared to central expert review (CER). METHODS: Histological data of all patients diagnosed with sarcoma in Rhone-Alpes between March 2005 and Feb 2006 were collected. Primary diagnoses were systematically compared with second opinion from regional and national experts. RESULTS: Of 448 patients included, 366 (82%) matched the inclusion criteria and were analyzed. Of these, 199 (54%) had full concordance between primary diagnosis and second opinion (the first pathologist and the expert reached identical conclusions), 97 (27%) had partial concordance (identical diagnosis of conjonctive tumor but different grade or subtype), and 70 (19%) had complete discordance (different histological type or invalidation of the diagnosis of sarcoma). The major discrepancies were related to histological grade (n = 68, 19%), histological type (n = 39, 11%), subtype (n = 17, 5%), and grade plus subtype or grade plus histological type (n = 43, 12%). CONCLUSIONS: Over 45% of first histological diagnoses were modified at second reading, possibly resulting in different treatment decisions. Systematic second expert opinion improves the quality of diagnosis and possibly the management of patients.

Reverse transcription-quantitative polymerase chain reaction: description of a RIN-based algorithm for accurate data normalization.

BACKGROUND: Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is the gold standard technique for mRNA quantification, but appropriate normalization is required to obtain reliable data. Normalization to accurately quantitated RNA has been proposed as the most reliable method for in vivo biopsies. However, this approach does not correct differences in RNA integrity. RESULTS: In this study, we evaluated the effect of RNA degradation on the quantification of the relative expression of nine genes (18S, ACTB, ATUB, B2M, GAPDH, HPRT, POLR2L, PSMB6 and RPLP0) that cover a wide expression spectrum. Our results show that RNA degradation could introduce up to 100% error in gene expression measurements when RT-qPCR data were normalized to total RNA. To achieve greater resolution of small differences in transcript levels in degraded samples, we improved this normalization method by developing a corrective algorithm that compensates for the loss of RNA integrity. This approach allowed us to achieve higher accuracy, since the average error for quantitative measurements was reduced to 8%. Finally, we applied our normalization strategy to the quantification of EGFR, HER2 and HER3 in 104 rectal cancer biopsies. Taken together, our data show that normalization of gene expression measurements by taking into account also RNA degradation allows much more reliable sample comparison. CONCLUSION: We developed a new normalization method of RT-qPCR data that compensates for loss of RNA integrity and therefore allows accurate gene expression quantification in human biopsies.

Validation of an appropriate reference gene for normalization of reverse transcription-quantitative polymerase chain reaction data from rectal cancer biopsies.

Gene expression quantification using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) requires data normalization using an invariable reference gene. Here we assessed the stability of 15 housekeeping genes in 31 tumor and normal rectal samples to validate a reliable reference gene for rectal cancer studies. Our data show that 18S and 28S RNA are stably expressed in all samples. Moreover, when used for normalization, 18S, but not 28S, greatly reduced unspecific variations of gene expression due to RNA degradation. These results demonstrate that 18S is an appropriate reference gene for normalization of RT-qPCR data from rectal cancer samples.

Cyclin D1 gene G870A polymorphism predicts response to neoadjuvant radiotherapy and prognosis in rectal cancer.

PURPOSE: To investigate whether CCND1 genetic variations associated with a constitutive nuclear protein may influence either the pathologic response to preoperative RT or the prognosis in a series of rectal cancer patients. METHODS AND MATERIALS: Seventy rectal cancer patients treated by neoadjuvant radiotherapy were included in the study. CCND1 exon 5 mutations were screened, and the G870A polymorphism was assessed for correlation with clinical variables, tumor response, and patient outcome. RESULTS: No exon 5 mutation was found. Concerning the G870A polymorphism, the A/A variant was significantly associated with radiosensitivity (p = 0.022). Moreover, patients harboring the A allele were correlated with a lower risk of local failure (p = 0.017). Also, combination of the G870A polymorphism with the post-therapeutic lymph node status allowed the elaboration of a prognostic index, which accurately distinguished subgroups of patients with predictable recurrence-free (p = 0.003) and overall (p = 0.044) survival. CONCLUSIONS: Although CCND1 exon 5 mutations are rare in rectal cancer, G870A polymorphism is a frequent variation that may predict radiosensitivity and prognosis.