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M Remmelink

Publications and source records attributed to M Remmelink.

36 records · Page 2Linked to original sources

Prognostic value of stem cell line identification for renal cell carcinomas.

OBJECTIVE: To investigate the prognostic value of nuclear DNA content (DNA ploidy level) in a series of 95 renal cell carcinomas (RCCs). STUDY DESIGN: Eight variables were used to characterize DNA ploidy levels. They included DNA index and seven others characterizing the presence of specific stem cell lines in each of the 95 RCCs under study. All these variables were determined by means of computer-assisted microscopy applied to Feulgen-stained nuclei. The actual information contributed by each of the eight variables was determined by means of univariate statistical analyses. RESULTS: The results showed that in the DNA ploidy-related eight variables, the presence of at least 4% aneuploid nuclei with > 5C DNA content was associated with the most significant prognostic value in RCCs with intermediate (T2, T3) invasion levels. CONCLUSION: The present study clearly showed that stem cell line characterization, and particularly the presence of highly aneuploid cells (with > 5C DNA content), is associated in RCCs with significant prognostic value. This kind of marker may help the identification of patients who will develop metastases after surgery and for whom adjuvant therapy might thus be indicated.

Adult↗

Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathology.

The aim of the present work is to show that decision tree induction algorithms are a useful tool for extracting reliable information from data series, with the objective of assisting pathologists in identifying specific diagnostic and prognostic markers in various types of tumor pathologies. In terms of accuracy, we show that the decision tree technique exceeds other more sophisticated techniques, such as multilayer neural networks. Furthermore, because of the case with which decision tree results can be interpreted (logical classification rules), new methodologies can be readily developed to further assist in analyzing complex data that mix heterogeneous features. In this paper, we illustrate such capabilities in the context of different complex diagnostic and/or prognostic problems in tumor pathology relating to bladder, astrocytomas, and adipose tissues.

Adult↗

Contribution of quantitative lectin histochemistry to characterizing well-differentiated, dedifferentiated and poorly differentiated liposarcomas.

OBJECTIVE: To find new diagnostic markers in the group of lipomatous tumors. STUDY DESIGN: The histochemical lectin staining pattern was characterized in a series of 45 lipomatous lesions, including 10 typical lipomas, 6 atypical lipomas, 8 well-differentiated, 6 myxoid, 5 dedifferentiated and 10 pleomorphic liposarcomas. Three lectins were used-peanut (Arachis hypogaea) agglutinin, which binds to terminal Gal(beta 1,3)GalNAc residues; wheat germ (Triticum vulgare) agglutinin (s-WGA, the succinylated form of WGA), which binds to ((1-4)-D-GlcNAc)n and Neu5NAc residues; and jack bean (Concanavalia ensiformis) agglutinin which binds to alpha-D-Man and alpha-D-Glc residues. Histochemical staining was quantitatively measured by means of a cell image processor. RESULTS: In the case of certain carbohydrate residues, typical lipomas closely resemble atypical lipomas, which in turn closely resemble well-differentiated liposarcomas; typical lipomas differ significantly from well-differentiated liposarcomas. This indicates that atypical lipomas, or at least some of them, could represent a biologic link between typical lipomas and well-differentiated liposarcomas. While well-differentiated and pleomorphic liposarcomas differed significantly from each other, the poorly differentiated component of dedifferentiated liposarcomas included histochemical lectin properties, which were common to both well-differentiated and pleomorphic liposarcomas. CONCLUSION: Some atypical lipomas exhibit glycohistochemical characteristics that are common to those of well-differentiated liposarcoma. The poorly differentiated component of dedifferentiated liposarcomas remains more differentiated in terms of glycohistochemical markers than do poorly differentiated pleomorphic liposarcomas.

Adult↗

Methodological aspects of using decision trees to characterise leiomyomatous tumors.

The aim of the present work is to present the potential uses of a classification technique labeled the "decision tree" for tumor characterisation when faced with a large number of features. The decision tree technique enables multifeature logical classification rules to be produced by determining discriminatory values for each feature selected. In this report, we propose a methodology that used decision trees to compare and evaluate the information contributed by different types of features for tumor characterisation. This methodology is able to produce a set of hypotheses related to a diagnosis and or prognosis problem. For example, hypotheses can be producted (on the basis of a set of descriptive features) to explain why tumor cases belong to a given histopathological group. To illustrate our purpose, this methodology was applied to the difficult problem of leiomyomatous tumour diagnosis. The aim was to illustrate what kind of diagnostic information can be extracted from a sample data set including 23 smooth muscle tumors (14 benign leiomyomas and 9 malignant leiomyosarcomas) described by a large set of computer-assisted, microscope-generated features. Three groups of features were used relating to: (1) ploidy level determination (10 features), (2) quantitative chromatin pattern description (15 features), and (3) immunohistochemically related antigen specificities (6 features). All these features were quantified by digital cell image analysis. The results suggest that an objective distinction between leiomyomas and leiomyosarcomas can be established by means of simple logical rules depending on only a few features among which the immunohistochemically revealed antigen expression of desmin plays a preponderant part. One of the combinations of features proposed by the methodology is interesting for pathologists, because it includes two features describing the appearance of a nucleus in terms of chromatin distribution homogeneity and density, two features widely used by pathologists in tumor-grading systems.

Adolescent↗

Image cytometry analysis of Feulgen-stained nuclei in 72 lipomatous lesions including atypical lipomas and well-differentiated liposarcomas.

Well-differentiated lipomatous tumors constitute a histopathologic category whose nomenclature has been controversial, particularly with respect to the distinction between atypical lipomas of the extremities and well-differentiated liposarcomas of the retroperitoneum. To determine whether there were differences in image analytic parameters between these neoplasms, 72 lesions including 21 typical lipomas, 7 atypical lipomas, 16 retroperitoneal and 5 nonretroperitoneal well-differentiated, 9 dedifferentiated, and 14 pleomorphic liposarcomas were submitted to the computer-assisted microscopic analysis of Feulgen-stained nuclei. This methodology enabled four groups of variables to be calculated. These included: (1) quantitative chromatin pattern description (14 variables); (2) the measurement of proliferative activity (1 variable); (3) nuclear DNA content (DNA ploidy level, 5 variables); and (4) the measurement of cell density and topographical cell nuclei organization (2 variables). The results strongly suggest that atypical lipomas, whether superficial or deep, and well-differentiated liposarcomas, whether retroperitoneal or not, belong to the same category in terms of the variables analyzed.

Adult↗

The value of nuclear DNA and texture analysis by digital image processing in the diagnosis of lipomatous and leiomyomatous tumours.

The present study investigates whether the quantitative chromatin pattern description carried out by means of the digital cell image analysis of Feulgen-stained nuclei can contribute valuable diagnostic information on sarcomas. A series of 77 soft tissue tumours was consequently studied. This series included 9 benign lipomas versus 26 malignant liposarcomas and 26 benign leiomyomas versus 16 malignant leiomyosarcomas. Of the 26 liposarcomas, 14 were primary and 12 recurrent tumours. Of the 16 leiomyosarcomas, 13 were primary and three recurrent tumours. The results show that the combined use of principal-components analysis and the discriminant analyses of digital data obtained by means of the computer-assisted microscope analysis of Feulgen-stained nuclei made it possible to obtain a clear-cut distinction between the three histopathological groups relating to the lipoma/liposarcoma group of soft tumours. In contrast, while a clear-cut distinction could be made between the recurrent leiomyosarcomas and the primary leiomyosarcomas, such a distinction was not possible between the benign leiomyomas and the malignant primary leiomyosarcomas. This feature, along with previous ones obtained through DNA ploidy level determination, suggests to us that leiomyomas, or at least some of them, are in the process of malignant transformation. In other words, leiomyomas might be the pre-malignant counterpart of leiomyosarcomas, a feature that the present results do not suggest for lipomas versus liposarcomas.

Adult↗

The contribution of image cytometry and artificial intelligence-related methods of numerical data analysis for adipose tumor histopathologic classification.

Thirty-five lipomatous tumors were quantitatively described using 47 variables generated by means of computer-assisted microscope analysis. Of these 47 quantitative variables, 27 were computed on Feulgen-stained specimens (25 on cytologic and 2 on histologic samples) and, of the remaining 20, 8 related to vimentin and S-100 protein immunostaining patterns and the other 12 to the glycohistochemical staining patterns of peanut agglutinin, succinylated wheat germ agglutinin, and concavalin A agglutinin. The 35 lipomatous tumors included 6 atypical lipomas and 8 well differentiated, 5 dedifferentiated, 6 myxoid, and 10 pleomorphic liposarcomas. The actual diagnostic value contributed by each of the 47 variables with respect to the 5 lipomatous tumor groups was determined by means of the decision tree technique, an artificial intelligence-related algorithm that forms part of the supervised learning algorithms. Of the 47 quantitative variables, the decision tree technique retained 8: i.e., 2 tissue architecture-, 2 DNA ploidy level-, 2 morphonuclear-, 1 lectin histochemical-, and 1 vimentin immunostain-related variables. The decision tree technique made use of these 8 variables to set up logical rules that make it possible to identify atypical lipomas from well differentiated liposarcomas, on the one hand, and dedifferentiated liposarcomas from those that are well differentiated and pleomorphic, on the other. Thus, the combination of an artificial intelligence algorithm analyzing quantitative variables generated by means of the computer-assisted microscope analysis of cytologic and histologic samples from lipomatous tumors can be considered an expert system contributing significant diagnostic information to conventional diagnosis.

Algorithms↗

Quantitative measurements of desmin and vimentin immunostains and cell density in leiomyomas and leiomyosarcomas.

The distinction between benign and malignant smooth muscle tumours relying on histological features such as the mitotic index and pleomorphism remains a generally acknowledged difficulty in modern pathology. A cell image processor was therefore used to quantitatively assess the desmin and vimentin immunostain in 39 smooth muscle tumours which included 26 benign (leiomyomas) and 13 malignant (leiomyosarcomas) cases. The 13 leiomyosarcomas were primary (non-recurrent and non-metastatic). Ploidy level and cell density were also assessed on each of these 39 tumours by means of the computer-assisted microscopic analysis of 5-microns thick Feulgen-stained histological sections. The results show that while neither the ploidy level determination nor the quantitative assessment of the vimentin immunostain made it possible to distinguish between leiomyomas and leiomyosarcomas, cell density determination and the quantitative assessment of the desmin immunostain enabled such a distinction to be made. Indeed, the leiomyomas exhibited a much higher level of desmin positivity than the leiomyosarcomas, as did diploid tumours as compared to the aneuploid (benign or malignant) ones. Furthermore, the leiomyoma group exhibited a significantly lower mean cell density value than the leiomyosarcoma group. The present study further confirms the lack of relationship between ploidy level and cytological malignancy in smooth muscle tumours.

Adolescent↗

Determination of DNA ploidy, nuclear size, and proliferative activity by means of the computer-assisted image analysis of Feulgen-stained nuclei in 68 soft tissue tumors of adults.

The diagnostic values of the ploidy level, the proliferative activity, and the nuclear size in a series of 68 soft tissue tumors of adults were determined by digital cell image analysis of Feulgen-stained nuclei from formalin-fixed, paraffin-embedded tissues. The DNA ploidy level was characterized by calculating the DNA index (DI) and the percentage of the diploid and polyploid cells, and by typing the DNA histogram. Proliferative activity assessments were a function of the determination of the proliferation index (PI), ie, the percentage of cells engaged in the S phase of the cell cycle (SPF value). The present series included 19 benign and 49 malignant soft tissue tumors. The results show that DNA aneuploidy, as assessed by both the DI and the DNA histogram type, cannot be used as a discriminatory parameter for distinguishing between benign and malignant soft tissue tumors. Indeed, some benign cases may be highly aneuploid, whereas some highly malignant soft tissue tumors may be definitely diploid. In contrast, the determination of the percentage of polyploid cell nuclei seems to be a useful parameter in distinguishing between benign and malignant cases. In fact, the benign soft tissue tumors showed a very significantly lower mean percentage value of polyploid cell nuclei than the malignant cases. The determination of the proliferative activity also discriminated significantly between the benign and the malignant cases, the former proliferating more slowly than the latter. Lastly, the determination of nuclear size made it possible to differentiate the primary malignant soft tissue tumors, whether recurrent or not, that were associated with metastasis from those free of metastasis.

Adult↗

Computer-assisted quantitative description of chromatin pattern in soft tissue tumors of the adult.

The chromatin pattern in Feulgen-stained nuclei from soft tissue tumors was quantitatively described by means of computer-assisted microscope analysis. The morphonuclear parameters described densitometric, run length, and co-occurrence matrix features. The present series of cases, which relied upon archival (ie, formalin-fixed, paraffin-embedded), tissues, included 19 benign (9 lipomas and 10 leiomyomas) cases, and 49 malignant (31 primitive non-recurrent, 14 primitive locally recurrent, and 4 metastatic) cases. The 31 primitive nonrecurrent cases included 12 liposarcomas, 11 leiomyosarcomas, 4 rhabdomyosarcomas, and 4 malignant fibrohistiocytomas. The results show that the quantitative description of chromatin patterns in Feulgen-stained nuclei made it possible to distinguish between certain benign and malignant soft tissue tumors. However, this was true only when specific histopathologic groups were taken into consideration. Indeed, the lipomas were markedly different from the liposarcomas, whereas the leiomyomas closely resembled the leiomyosarcomas. The quantitative description of the chromatin patterns also made it possible to identify certain clinically aggressive soft tissue tumors. In this context, the authors observed that the chromatin pattern in the cell nuclei from the group of patients whose tumors had recurred less than 10 months after first surgery was significantly more heterogeneous and less condensed than in the cell nuclei from patients whose tumors had recurred more than 10 months after this surgery. In the same manner, the morphonuclear parameters under study made it possible to establish a more marked distinction between the primitive and recurrent soft tissue tumors that developed a metastasis between 3 and 48 months after the diagnosis, and those tumors free of metastasis until 38 months after the diagnosis. The former group exhibited cell nuclei with a chromatin pattern markedly more condensed and heterogeneous than in the case of the cell nuclei belonging to the latter group.

Adult↗

Ploidy level and proliferative activity measurements in a series of 407 thyroid tumors or other pathologic conditions.

This study describes the ploidy level and proliferation rate in a series of 74 multinodular goiters (MNGs), 17 cases of Hashimoto's disease, 33 cases of Basedow's disease, 113 adenomas, 139 primary carcinomas, and 31 cervical lymph node metastases from 376 patients. Both ploidy level and proliferation rate were assessed by digital cell image analyses of Feulgen-stained nuclei from formalin-fixed, paraffin-embedded tissues. The ploidy level of each sample was assessed using both its DNA index and its DNA histogram type. The proliferation index assessments corresponded to the determination of the proportion of cells in the S-phase fraction. The data reveal that the proportion of aneuploid cases increases according to the following sequence: simple MNGs and normomacrovesicular adenomas-->MNGs with adenomatous hyperplasia and microvesicular adenomas and Hürthle cell adenomas-->papillary and Hürthle cell carcinomas-->follicular and medullary carcinomas-->anaplastic carcinomas. This suggests the preneoplastic nature of the microvesicular adenomas and even of MNGs with adenomatous hyperplasia. The ploidy levels of 99% of the 407 cases of the thyroid tumor series could be described using six DNA histogram types: diploid, hyperdiploid, triploid, hypertriploid, tetraploid, and polymorphic. It was possible to assess the proliferation rate of 279 samples. The results show that a significantly higher proportion of malignant compared with benign thyroid tumors (35.5% v 10.5%, respectively) exhibited a proliferation index higher than 5%, and that, whether benign or malignant, the hypertriploid thyroid tumors proliferated significantly less than the nonhypertriploid thyroid tumors.

Cell Division↗

Characterization of nuclear DNA content, proliferation index, and nuclear size in a series of 181 meningiomas, including benign primary, recurrent, and malignant tumors.

The characterization of nuclear area, the proliferation index, and nuclear DNA content was carried out by means of digital cell image analysis, which makes it possible to compute morphometric and densitometric features on Feulgen-stained nuclei from archival, that is, formalin-fixed, paraffin-embedded materials. The 181 meningiomas studied included 173 classic (41 meningotheliomatous, 27 fibroblastic, 82 transitional, nine psammomatous, eight angiomatous and six hemangioblastic tumors) and eight malignant meningiomas (three hemangiopericytomas and five tumors that we labeled HFM, that is, tumors exhibiting evidence of histological features of malignancy). The results reveal a strong relationship between incomplete surgical resection and recurrence on the one hand and between the probability of recurrence and histopathological type on the other. Whereas neither nuclear area nor nuclear DNA content assessments were helpful in distinguishing the six classic and the two malignant meningioma subgroups, a statistically significant increase in proliferative activity was observed in the malignant meningiomas as compared with classic ones, excepting hemangioblastomas that proliferate at the same rate as the malignant meningiomas. Furthermore, the multiple meningiomas definitely proliferated more actively than the single ones, but a similar proliferative activity was observed in the nonrecurrent and recurrent meningiomas. Proliferation analyses might be therefore helpful for determining aggressive meningiomas and for planning adjuvant therapy in these cases.

Adult↗

The differential expression of Galectin-1 and Galectin-3 in normal lymphoid tissue and non-Hodgkin's and Hodgkin's lymphomas.

The WHO classification of lymphomas was established on the basis of clinical, morphological, immunohistochemical and genetic criteria. However, each entity displays its own spectrum of clinical aggressiveness. Treatment success varies widely and is not predictable. Since galectins are involved in oncogenesis and the physiology of immune cells, we investigated whether galectin-1 and galectin-3 immunohistochemical expression could differ in 25 normal lymphoid tissues, 42 non-Hodgkins and 14 Hodgkins lymphomas. Immunohistochemical galectin expression was submitted to semi-quantitative and quantitative (computer-assisted microscopy) evaluations. This study is completed by an analysis (by means of quantitative RT-PCR) of galectin-3 mRNA expression in 3 normal lymph nodes, 3 follicular lymphomas (FLs) and 3 diffuse large B-cell lymphomas (DLBCLs). The data show that in normal lymphoid tissue, lymphocytes do not express galectin-1 and rarely express galectin-3. In contrast, galectin-3 was expressed in 8 of the 16 DLBCL cases and in 1 of the 8 FL cases. Furthermore, galectin-3 mRNA was expressed 3 times more in the DLBCLs than in the FLs. While the blood vessel walls of the lymphomas expressed galectin-1, the vessel walls of normal lymphoid tissues did not. This expression of galectin-1 in blood vessel walls was correlated with vascular density. The present study thus shows that DLBCL can be distinguished from normal lymphoid tissue and other lymphomas on the basis of galectin-3 expression.

Galectin 1↗

[Diagnostic and/or prognostic value of the nuclear level determination of desoxyribonucleic acid (DNA) in nervous system tumors].

The diagnostic and prognostic value of the DNA ploidy level (nuclear DNA content) was studied in a series of 847 tumours of the nervous system. This series included 93 nerve sheath tumours, 224 meningiomas, 389 neuro-epithelial tissue tumours, 46 primitive neuroectodermal tumours (retinoblastomas, medulloblastomas, neuroblastomas, etc.) and 95 brain metastases. The DNA ploidy level determination was carried out by means of the computer-assisted microscope analysis (digital cell image analysis) of Feulgen-stained nuclei. The results show that the DNA ploidy level does not contribute significant diagnostic information when tumours are analyzed individually. Indeed, some tumours which are definitely benign like certain schwannomas and meningiomas can exhibit very high levels of aneuploidy, while some highly malignant tumours like certain glioblastomas and neuroblastomas can be diploid. In contrast to its weak diagnostic value, the DNA ploidy level appears to be a powerful prognostic factor with respect to the supratentorial astrocytic tumours of the adult. Indeed, patients with hypertriploid astrocytic tumours exhibit a survival period which is significantly longer when compared to that of patients with non-hypertriploid astrocytic tumours. These hypertriploid astrocytic tumours could be involved in a process of biological degeneration when reference is made to their proliferation activity which is significantly weaker than that of non-hypertriploid tumours.

Aneuploidy↗

The combination of a decision tree technique with the computer-assisted microscope analysis of Feulgen-stained nuclei to assess aggressiveness in lipomatous and smooth muscle tumors.

The present study describes a computer-assisted methodology whose purpose is to reduce the degree of subjectivity in the diagnosis of soft tissue tumors. This methodology associates three complementary techniques, namely digital cell image analysis, the discretisation of numerical data and a Decision Tree technique (DT). The first technique relies on the use of the digital cell image analysis of Feulgen-stained nuclei, a technique which makes possible a quantitative and thus objective description of nuclei with the help of 24 numerical parameters (15 morphonuclear and 9 DNA content- (ploidy level and proliferation activity) related). The second technique transforms each numerical parameter into an ordinal one with a small number of values (2 to 4) so that only the relevant physical significance of the parameters is retained. The Decision Tree technique generates classification rules on the basis of the discretised parameters quoted above. This methodology was applied to 53 human soft tissue tumors which included 26 lipomatous tumors (13 malignant liposarcomas and 13 benign lipomas) and 27 smooth muscle tumors (11 malignant leiomyosarcomas and 16 benign leiomyomas). The results show that a distinction between benign (lipoma) and malignant (liposarcoma) lipomatous tumors can easily be made by means of simple logical rules depending on only four discretised cytological parameters (two ploidy- and two morphonuclear-related). In contrast, no stable or predictive characterisation can be obtained with respect to the difference between leiomyosarcomas and the leiomyomas. Hence, while lipomas and liposarcomas appeared to be two completely distinct biological entities, leiomyomas and leiomyosarcomas seem to involve a continuous biological process.

Cell Nucleus↗

Nuclear DNA content, proliferation index and nuclear size determination in normal and tumoral adrenal tissues, pheochromocytomas and metastases.

The diagnostic values of nuclear size, proliferation index and ploidy level were investigated in a series of 58 samples from adrenal glands, including 9 samples from normal adrenal glands, 18 adenomas, 3 carcinomas, 16 pheochromocytomas and 12 metastases. Nuclear assessments were computed on Feulgen-stained nuclei by means of a cell image processor. Ploidy level was assessed by means of both the DNA index and DNA histogram type. The results show that nuclear size and proliferation index do not allow any discrimination between these various histopathologic subgroups. The measurement of ploidy level made it possible to obtain helpful information about these various histopathologic groups. Indeed, all the normal cases (except one from a malignant kidney tissue) and all adenomas (except one) were diploid, while most (but not all) of the remaining cases, including carcinomas, pheochromocytomas and metastases, were aneuploid. Furthermore, with this measurement we were able to show that some tendencies appear across these histopathologic groups. Indeed, the metastases contained a high proportion of aneuploid cases, whereas pheochromocytomas were frequently tetraploid. The results also show that the assessment of ploidy level by means of the DNA histogram type is more accurate than with measurement of the DNA index.

Adrenal Gland Neoplasms↗

In vitro characterisation of soft tissue tumor chemosensitivity.

BACKGROUND: The benefit of performing chemotherapy on soft tissue sarcomas remains controversial. The present study deals with the in vitro characterisation of the influence of 3 antitumoral agents on the growth of 8 sarcoma cell lines. MATERIALS AND METHODS: Cell growth was monitored by means of the MTT colorimetric assay, which was further validated by a direct cell counting method. The three drugs tested included doxorubicin (ADR), cisplatin (DDP) and dacarbazine (DTIC). ADR was tested at 10(-5) M, 10(-6) M and 10(-7) M; DDP at 10(-5) M, 10(-6) M and 10(-7) M; and DTIC at 10(-3) M, 10(-4) M and 10(-5) M. A combination of the three drugs was also tested in order to ascertain whether a synergistic effect on cell growth inhibition could be obtained. A potential antineoplastic agent-induced influence on cell growth was determined 3 days after the addition of the diverse drug(s) to the culture media. The cell concentration was specifically adapted to each cell line. The 8 cell lines included 3 leiomyosarcomas, 1 malignant mixed Müllerian tumour, 3 rhabdomyosarcomas and 1 fibrosarcoma. RESULTS: The results show that of the three drugs tested, ADR was the most efficient in terms of the level of cell growth inhibition obtained and the number of cell lines whose growth was significantly inhibited. Of the three drugs, the least active was DDP. A significant synergistic effect was observed when the three drugs were added together to the culture medium. This synergistic effect was evident at the lowest doses tested for each drug. Whatever the histopathological type, the 8 cell lines exhibited a wide range of response to chemotherapy. CONCLUSIONS: The present study shows that the inhibition induced by 10(-7) M ADR, 10(-7) M DDP and 10(-5) M DTIC on sarcoma cell line growth is significantly more efficient than if each agent is tested individually. The in vitro methodology used here fits in with clinical reality because it enables sarcoma cell heterogeneity to be taken into account.

Antineoplastic Agents↗