EXPRESSION OF TUMOR ASSOCIATED ANTIGENS ON HUMAN COLON CARCINOMA CELLS (HUMAN COLON CANCER, MONOCLONAL ANTIBODY)

Human colon cancer cells, LS180 and 174T, exhibit monoclonal antibody (mAb) 1083-17-1A and 5E113 defined tumor associated antigens. By radioimmunoassay, LS180 cells expressed the highest amount of mAb1083 defined antigens among the cell lines tested. Another mAb, 5E113, competed with mAb1083 for binding to LS180 cells, suggesting that both mAbs might bind onto identical (or adjacent) epitopes. By Scatchard analysis, about one million copies of the epitopes were present on LS180 colon cancer cells. The affinity of mAb1083 binding to the cells was 2.97 x 10('10) M('-1); the Sipsian heteroclonality value of mAb1083 was 0.9, thus approximating a single clone of reactive antibody. The qualitative studies showed that the epitopes were probably not carbohydrate because of their sensitivity to proteinases and not to mixed glucosidases and neuraminidase. The tunicamycin homologue B(,2) inhibited the incoporation of ('3)H-labeled galactose but not uptake of ('35)S-labeled methionine, nor expression of monoclonal antibody defined antigens providing further evidence to exclude the possibility of carbohydrate epitopes. There was evidence that the epitope might be partially masked in its "native" conformation, since short exposure or low dose treatment with proteases increased mAbs binding. The best detergent for antigen extraction, as detected by dot blotting and competitive inhibition assays, was octylglucoside at 30 mM concentration. Three methods, immunoprecipitation, Western blotting and photoaffinity labeling, were used to determine the molecular nature of the antigens. These results demonstrated that the antibody bound both 43 K daltons (KD) and 22 KD proteins.^ An in vitro cell-mediated immune approach was also used to attempt identifying function for the antigens. The strategy was to use mAbs to block cytotoxic effector cell killing. However, instead of blocking, the mAb1083 and 5E113 showed strong antibody-dependent cell-mediated cytotoxicities (ADCCs) in the in vitro xenoimmune assay system. In addition, cytotoxic T lymphocytes (CTLs), natural killer cells, and K cell activity were found. Since even the F(ab')2 fragment of mAbs did not inhibit the cytolytic effect, the mAbs defined antigens may not be major target molecules for CTLs. In summary, two molecular species of tumor antigen(s) were identified by mAbs to be present on colon tumor cell lines, LS180 and LS174T. (Abstract shortened with permission of author.) ^

COMPARISON OF DNA TRANSFECTION AND MICROCELL-MEDIATED CHROMOSOME TRANSFER FOR DETECTING TRANSFORMING GENES IN HUMAN TUMOR CELL LINES

DNA mediated gene transfection is an important tool for moving and isolating genes from one cell type and putting them into a foreign genetic background. DNA transfection studies have been done routinely in many laboratories to identify and isolate transforming sequences in human tumors and tumor cell lines. A second technique, microcell-mediated chromosome transfer, allows the transfer of small numbers of intact human chromosome from one cell to another. This work was done to compare the efficiency of these two techniques in the transformation of NIH 3T3 mouse fibroblast cells.^ My intent in comparing these two techniques was to see if there was a difference in the transforming capability of DNA which has been purified of all associated protein and RNAs, and that of DNA which is introduced into a cell in its native form, the chromosome. If chromosomal sequences were capable of transforming the 3T3 cells in culture, the method could then be used as a way to isolate the relevant tumorigenic chromosomes from human tumors.^ The study shows, however, that even for those cell lines that contain transforming sequences identified by DNA-mediated gene transfer, those same sequences were unable to transform 3T3 cells when introduced to the cells by somatic fusion of human tumor microcells. I believe that the human transforming sequences in their original genetic conformation are not recognized by the mouse cell as genes which should be expressed; therefore, no noticeable transformation event was selected by this technique. ^

GENETIC EVENTS PREDISPOSING TO WILMS' TUMOR

Wilms' tumor (WT) is a childhood embryonic tumor of the kidney. In some cases, WT has been associated with a chromosome deletion in the region 11p13. The majority of WT cases, however, have normal karyotypes with no discernable deletions or rearrangements of chromosome 11.^ To study the genetic events predisposing to the development of WT, I have used a number of gene markers specific for chromosome 11. Gene probes for human catalase and apolipoprotein A1 were localized to chromosome 11 by in situ hybridization. A number of other probes previously mapped to chromosome 11 were also used. Nine WT patients who were heterozygous for at least one 11p marker were shown to lose heterozygosity in their tumor DNA. Gene dosage experiments demonstrated that two chromosomes 11 were present although loss of heterozygosity had occurred in all but two cases. By using gene probes from the short and long arms of chromosome 11, I discerned that loss of heterozygosity was due to somatic recombination in four cases, chromosome deletion in two cases, and chromosome loss and reduplication or somatic recombination in these cases. Examination of DNAs from the parents of six of these patients indicated that the alleles that were lost in tumor tissues were alleles inherited from the mother. In sporadic WT cases one would expect the loss of alleles to be random. These data suggest that the loss of alleles resulting in the development of WT is not a random event, however, the significance of this is not known. ^

TUMOR PROGRESSION, METASTATIC POTENTIAL AND GENOMIC INSTABILITY

To investigate the hypothesis that increased malignant potential correlates with increased levels of genetic instability, the following parameters of instability were measured: (1) spontaneous mutation rates for ouabain resistance in murine cell lines of different malignant potentials, (2) the background prevalence of 6-thioguanine (6-TG) resistance in clone 4 (highly metastatic) and clone 19 (poorly metastatic) of the K1735 murine melanoma, (3) the prevalence of ouabain resistant variants in three murine cell lines and their variants after exposure to the mutagen MNNG, (4) the rate of generation of major karyotypic abnormalities in B16 F1 (poorly metastatic) and B16 F10 (highly metastatic) murine melanoma, and (5) analysis of the G-banded karyotypes of cloned B16 F1 and B16 F10 melanoma.^ No correlation of increased spontaneous mutation rates with increased malignant potential was found in repeated experiments with three murine cell lines and their variants of different malignant potential. The background prevalence of g-TG resistance was not significantly different for the poorly and highly metastatic clones of K1735 melanoma. The studies with MNNG-induced mutation showed no increased sensitivity of the highly metastatic variants of the three murine cell lines to mutagenesis. Neither did the rate of generation of major karyotypic abnormalities correlate with malignant potential. However, certain karyotypic differences were demonstrated after G-banding of the B16 F1 and F10 melanomas.^ One hypothesis which is consistent with these results is that the rate of generation of genetic abnormalities need not be strongly related to the degree of malignant potential. An increased prevalence of genetic changes may merely reflect the accumulation of abnormalities while their rate of production remains constant. The presence of specific nonrandom changes likely is the main determinant of malignant potential rather than the rate of production of random changes. ^

Differential effects of interferon-gamma and tumor necrosis factor-alpha on Toxoplasma gondii proliferation in organotypic rat brain slice cultures.

Organotypic slice culture explants of rat cortical tissue infected with Toxoplasma gondii tachyzoites were applied as an in vitro model to investigate host-pathogen interactions in cerebral toxoplasmosis. The kinetics of parasite proliferation and the effects of interferon-gamma (IFN-gamma) and tumor necrosis factor-alpha (TNF-alpha) in infected organotypic cultures were monitored by light microscopy, transmission electron microscopy (TEM), and quantitative polymerase chain reaction (PCR) assay. As assessed by the loss of the structural integrity of the glial fibrillary acidic protein-intermediate filament network, tachyzoites infected and proliferated mainly within astrocytes, whereas neurons and microglia remained largely unaffected. Toxoplasma gondii proliferation was severely inhibited by IFN-y. However, this inhibition was not linked to tachyzoite-to-bradyzoite stage conversion. In contrast, TNF-alpha treatment resulted in a dramatically enhanced proliferation rate of the parasite. The cellular integrity in IFN-gamma-treated organotypic slice cultures was severely impaired compared with untreated and TNF-alpha-treated cultures. Thus, on infection of organotypic neuronal cultures, IFN-gamma and TNF-alpha exhibit largely detrimental effects, which could contribute to either inhibition or acceleration of parasite proliferation during cerebral toxoplasmosis.

Tissue metabolomics of hepatocellular carcinoma: Tumor energy metabolism and the role of transcriptomic classification

Hepatocellular carcinoma (HCC) is one of the commonest causes of death from cancer. A plethora of metabolomic investigations of HCC have yielded molecules in biofluids that are both up- and down-regulated but no real consensus has emerged regarding exploitable biomarkers for early detection of HCC. We report here a different approach, a combined transcriptomics and metabolomics study of energy metabolism in HCC. A panel of 31 pairs of HCC tumors and corresponding nontumor liver tissues from the same patients was investigated by gas chromatography-mass spectrometry (GCMS)-based metabolomics. HCC was characterized by ∼2-fold depletion of glucose, glycerol 3- and 2-phosphate, malate, alanine, myo-inositol, and linoleic acid. Data are consistent with a metabolic remodeling involving a 4-fold increase in glycolysis over mitochondrial oxidative phosphorylation. A second panel of 59 HCC that had been typed by transcriptomics and classified in G1 to G6 subgroups was also subjected to GCMS tissue metabolomics. No differences in glucose, lactate, alanine, glycerol 3-phosphate, malate, myo-inositol, or stearic acid tissue concentrations were found, suggesting that the Wnt/β-catenin pathway activated by CTNNB1 mutation in subgroups G5 and G6 did not exhibit specific metabolic remodeling. However, subgroup G1 had markedly reduced tissue concentrations of 1-stearoylglycerol, 1-palmitoylglycerol, and palmitic acid, suggesting that the high serum α-fetoprotein phenotype of G1, associated with the known overexpression of lipid catabolic enzymes, could be detected through metabolomics as increased lipid catabolism. Conclusion: Tissue metabolomics yielded precise biochemical information regarding HCC tumor metabolic remodeling from mitochondrial oxidation to aerobic glycolysis and the impact of molecular subtypes on this process.

Atlas-based Segmentation of Tumor-bearing Brain Images

In diagnostic neuroradiology as well as in radiation oncology and neurosurgery, there is an increasing demand for accurate segmentation of tumor-bearing brain images. Atlas-based segmentation is an appealing automatic technique thanks to its robustness and versatility. However, atlas-based segmentation of tumor-bearing brain images is challenging due to the confounding effects of the tumor in the patient image. In this article, we provide a brief background on brain tumor imaging and introduce the clinical perspective, before we categorize and review the state of the art in the current literature on atlas-based segmentation for tumor-bearing brain images. We also present selected methods and results from our own research in more detail. Finally, we conclude with a short summary and look at new developments in the field, including requirements for future routine clinical use.

Patient-Specific Semi-Supervised Learning for Postoperative Brain Tumor Segmentation

In contrast to preoperative brain tumor segmentation, the problem of postoperative brain tumor segmentation has been rarely approached so far. We present a fully-automatic segmentation method using multimodal magnetic resonance image data and patient-specific semi-supervised learning. The idea behind our semi-supervised approach is to effectively fuse information from both pre- and postoperative image data of the same patient to improve segmentation of the postoperative image. We pose image segmentation as a classification problem and solve it by adopting a semi-supervised decision forest. The method is evaluated on a cohort of 10 high-grade glioma patients, with segmentation performance and computation time comparable or superior to a state-of-the-art brain tumor segmentation method. Moreover, our results confirm that the inclusion of preoperative MR images lead to a better performance regarding postoperative brain tumor segmentation.

Interactive Segmentation of MR Images from Brain Tumor Patients

Medical doctors often do not trust the result of fully automatic segmentations because they have no possibility to make corrections if necessary. On the other hand, manual corrections can introduce a user bias. In this work, we propose to integrate the possibility for quick manual corrections into a fully automatic segmentation method for brain tumor images. This allows for necessary corrections while maintaining a high objectiveness. The underlying idea is similar to the well-known Grab-Cut algorithm, but here we combine decision forest classification with conditional random field regularization for interactive segmentation of 3D medical images. The approach has been evaluated by two different users on the BraTS2012 dataset. Accuracy and robustness improved compared to a fully automatic method and our interactive approach was ranked among the top performing methods. Time for computation including manual interaction was less than 10 minutes per patient, which makes it attractive for clinical use.