In vivo 6-thioguanine-resistant T cells from melanoma patients have public TCR and share TCR beta amino acid sequences with melanoma-reactive T cells

In vivo hypoxanthine-guanine phosphoribosyltransferase (HPRT)-deficient T cells (MT) from melanoma patients are enriched for T cells with in vivo clonal amplifications that traffic between blood and tumor tissues. Melanoma is thus a model cancer to test the hypothesis that in vivo MT from cancer patients can be used as immunological probes for immunogenic tumor antigens. MT were obtained by 6-thioguanine (TG) selection of lymphocytes from peripheral blood and tumor tissues, and wild-type T cells (WT) were obtained analogously without TG selection. cDNA sequences of the T cell receptor beta chains (TRB) were used as unambiguous biomarkers of in vivo clonality and as indicators of T cell specificity. Public TRB were identified in MT from the blood and tumor of different melanoma patients. Such public TRB were not found in normal control MT or WT. As an indicator of T cell specificity for melanoma, the >2600 MT and WT TRB, including the public TRB from melanoma patients, were compared to a literature-derived empirical database of >1270 TRB from melanoma-reactive T cells. Various degrees of similarity, ranging from 100% conservation to 3-amino acid motifs (3-mer), were found between both melanoma patient MT and WT TRBs and the empirical database. The frequency of 3-mer and 4-mer TRB matching to the empirical database was significantly higher in MT compared with WT in the tumor (p=0.0285 and p=0.006, respectively). In summary, in vivo MT from melanoma patients contain public TRB as well as T cells with specificity for characterized melanoma antigens. We conclude that in vivo MT merit study as novel probes for uncharacterized immunogenic antigens in melanoma and other malignancies.

GAMMA-BASED CLUSTERING VIA ORDERED MEANS WITH APPLICATION TO GENE-EXPRESSION ANALYSIS

Discrete mixture models provide a well-known basis for effective clustering algorithms, although technical challenges have limited their scope. In the context of gene-expression data analysis, a model is presented that mixes over a finite catalog of structures, each one representing equality and inequality constraints among latent expected values. Computations depend on the probability that independent gamma-distributed variables attain each of their possible orderings. Each ordering event is equivalent to an event in independent negative-binomial random variables, and this finding guides a dynamic-programming calculation. The structuring of mixture-model components according to constraints among latent means leads to strict concavity of the mixture log likelihood. In addition to its beneficial numerical properties, the clustering method shows promising results in an empirical study.

High-resolution human genome structure by single-molecule analysis

Variation in genome structure is an important source of human genetic polymorphism: It affects a large proportion of the genome and has a variety of phenotypic consequences relevant to health and disease. In spite of this, human genome structure variation is incompletely characterized due to a lack of approaches for discovering a broad range of structural variants in a global, comprehensive fashion. We addressed this gap with Optical Mapping, a high-throughput, high-resolution single-molecule system for studying genome structure. We used Optical Mapping to create genome-wide restriction maps of a complete hydatidiform mole and three lymphoblast-derived cell lines, and we validated the approach by demonstrating a strong concordance with existing methods. We also describe thousands of new variants with sizes ranging from kb to Mb.

Longitudinal assessment of colonic tumor fate in mice by computed tomography and optical colonoscopy

RATIONALE AND OBJECTIVES

The purpose of this study was to evaluate the relative merits of micro-computed tomograph colonography (mCTC) and optical colonoscopy (OC) for longitudinal studies of colonic tumors in mice.

MATERIALS AND METHODS

Colonic tumors in mice carrying the Min allele of Apc were followed over several weeks using mCTC and OC. A total of 146 colonic tumors were monitored: 62 in 32 untreated Min mice, 53 in 43 Min mice treated with 5-fluorouracil (5-FU), and 31 in 17 Min mice treated with piroxicam.

RESULTS

Colonic tumors in Min mice had three different spontaneous fates: 29 grew, 24 remained static, and 9 regressed. Treating Min mice with 5-FU increased the percentage of regressing tumors from 15% to 58%. The response was dependent in part on the initial size of the tumor. By contrast, treating Min mice with piroxicam did not alter colonic tumor fate.

CONCLUSIONS

mCTC and OC can be used to determine the spontaneous fates of colonic tumors in mice and to document their individual responses to treatment. The ability to follow individually annotated colonic tumors reduces the number of mice needed for testing.

Discovery and validation of colonic tumor-associated proteins via metabolic labeling and stable isotopic dilution

The unique biology of a neoplasm is reflected by its distinct molecular profile compared with normal tissue. To understand tumor development better, we have undertaken a quantitative proteomic search for abnormally expressed proteins in colonic tumors from Apc(Min/+) (Min) mice. By raising pairs of Min and wild-type mice on diets derived from natural-abundance or (15)N-labeled algae, we used metabolic labeling to compare protein levels in colonic tumor versus normal tissue. Because metabolic labeling allows internal control throughout sample preparation and analysis, technical error is minimized as compared with in vitro labeling. Several proteins displayed altered expression, and a subset was validated via stable isotopic dilution using synthetic peptide standards. We also compared gene and protein expression among tumor and nontumor tissue, revealing limited correlation. This divergence was especially pronounced for species showing biological change, highlighting the complementary perspectives provided by transcriptomics and proteomics. Our work demonstrates the power of metabolic labeling combined with stable isotopic dilution as an integrated strategy for the identification and validation of differentially expressed proteins using rodent models of human disease.

Statistical use of argonaute expression and RISC assembly in microRNA target identification

MicroRNAs (miRNAs) posttranscriptionally regulate targeted messenger RNAs (mRNAs) by inducing cleavage or otherwise repressing their translation. We address the problem of detecting m/miRNA targeting relationships in homo sapiens from microarray data by developing statistical models that are motivated by the biological mechanisms used by miRNAs. The focus of our modeling is the construction, activity, and mediation of RNA-induced silencing complexes (RISCs) competent for targeted mRNA cleavage. We demonstrate that regression models accommodating RISC abundance and controlling for other mediating factors fit the expression profiles of known target pairs substantially better than models based on m/miRNA expressions alone, and lead to verifications of computational target pair predictions that are more sensitive than those based on marginal expression levels. Because our models are fully independent of exogenous results from sequence-based computational methods, they are appropriate for use as either a primary or secondary source of information regarding m/miRNA target pair relationships, especially in conjunction with high-throughput expression studies.

MicroRNAs are a family of small RNAs that play important roles in the development, physiological function and stress responses of a wide variety of organisms, and if abnormally expressed are associated with multiple types of cancer in humans. Rather than being translated into proteins, members of the family of microRNAs operate by preventing the translation of messenger RNAs to which they have some degree of sequence complementarity. Although sequence-based bioinformatics techniques have yielded large numbers of predicted messenger- and microRNA targeting relationships, verifying these as bona fide has proven practically difficult. We have developed a novel statistical approach based on the system biology of microRNAs in humans to detect such targeting relationships using high-throughput RNA expression data. Because our approach is not based on information from external target pair predictions, it can play a fully independent role in verifying such predictions as well as be used to obtain de novo target pair predictions. Using two separate data studies, we show that our approach is capable of both reproducing previously observed target pairs and verifying putative target pairs predicted from sequence data, at rates substantially better than marginal comparisons of messenger- and microRNA expression levels.

Identification of in vivo 6-thioguanine-resistant T cells reactive to melanoma-associated antigens (40.15)

T cells from melanoma patients (MEL) can mediate in vitro anti-tumor and regulatory functions. We hypothesize that in vivo hypoxanthine-guanine phosphoribosyltransferase-deficient T cells (MT) from MEL are enriched for T cells undergoing repetitive in vivo cell division in response to melanoma. MT were selected with 6-thioguanine (TG) from MEL PBMC as clonal isolates or as mass cultures, and from tumor-bearing tissues as mass cultures. Wild-type T cells (WT) were obtained analogously, without TG selection. TCR beta chain (TCRB) cDNA sequence analysis identified significantly enriched T cell clonal amplifications in MT compared to WT: 3 of 6 PBMC clonal isolate assays (p ≤ 0.05); 6 of 6 PBMC mass cultures (p < 0.001); 5 of 5 tumor mass cultures (p < 0.005). Identical TCRB sequences were found within and between MEL, in PBMC and tumor, demonstrating trafficking of T cell clones and suggesting shared immunogenic melanoma antigens. Using peptide-MHC pentamers, a significant enrichment of melanoma-specific T cells in MT compared to WT was demonstrated in 3 of 5 tumor mass cultures (p < 0.001). Preliminary data from MT in a tumor suggest that some MT possess specific reactivity to melanoma peptide-pulsed targets in vitro. We conclude that MT from tumor sites are enriched for T cells responding in vivo to melanoma and provide candidate probes into the immunobiology of melanoma.

Supported by a VA Merit Grant and gifts to the UWCCC.

Clonal expansions of 6-thioguanine resistant T lymphocytes in the blood and tumor of melanoma patients

The identification of specific lymphocyte populations that mediate tumor immune responses is required for elucidating the mechanisms underlying these responses and facilitating therapeutic interventions in humans with cancer. To this end, mutant hypoxanthine-guanine phosphoribosyltransferase (HPRT) deficient (HPRT-) T-cells were used as probes to detect T-cell clonal amplifications and trafficking in vivo in patients with advanced melanoma. Mutant T-cells from peripheral blood were obtained as clonal isolates or in mass cultures in the presence of 6-thioguanine (TG) selection and from tumor-bearing lymph nodes (LNs) or metastatic melanoma tissues by TG-selected mass cultures. Nonmutant (wild-type) cells were obtained from all sites by analogous means, but without TG selection. cDNA sequences of the T-cell receptor (TCR) beta chains (TCR-beta), determined directly (clonal isolates) or following insertion into plasmids (mass cultures), were used as unambiguous biomarkers of in vivo clonality of mature T-cell clones. Clonal amplifications, identified as repetitive TCR-beta V-region, complementarity determining region 3 (CDR3), and J-region gene sequences, were demonstrated at all sites studied, that is, peripheral blood, LNs, and metastatic tumors. Amplifications were significantly enriched among the mutant compared with the wild-type T-cell fractions. Importantly, T-cell trafficking was manifested by identical TCR-beta cDNA sequences, including the hypervariable CDR3 motifs, being found in both blood and tissues in individual patients. The findings described herein indicate that the mutant T-cell fractions from melanoma patients are enriched for proliferating T-cells that infiltrate the tumor, making them candidates for investigations of potentially protective immunological responses.

Differential control of Zap1-regulated genes in response to zinc deficiency in Saccharomyces cerevisiae

BACKGROUND

The Zap1 transcription factor is a central player in the response of yeast to changes in zinc status. We previously used transcriptome profiling with DNA microarrays to identify 46 potential Zap1 target genes in the yeast genome. In this new study, we used complementary methods to identify additional Zap1 target genes.

RESULTS

With alternative growth conditions for the microarray experiments and a more sensitive motif identification algorithm, we identified 31 new potential targets of Zap1 activation. Moreover, an analysis of the response of Zap1 target genes to a range of zinc concentrations and to zinc withdrawal over time demonstrated that these genes respond differently to zinc deficiency. Some genes are induced under mild zinc deficiency and act as a first line of defense against this stress. First-line defense genes serve to maintain zinc homeostasis by increasing zinc uptake, and by mobilizing and conserving intracellular zinc pools. Other genes respond only to severe zinc limitation and act as a second line of defense. These second-line defense genes allow cells to adapt to conditions of zinc deficiency and include genes involved in maintaining secretory pathway and cell wall function, and stress responses.

CONCLUSION

We have identified several new targets of Zap1-mediated regulation. Furthermore, our results indicate that through the differential regulation of its target genes, Zap1 prioritizes mechanisms of zinc homeostasis and adaptive responses to zinc deficiency.

Drosophila RNAi screen identifies host genes important for influenza virus replication

All viruses rely on host cell proteins and their associated mechanisms to complete the viral life cycle. Identifying the host molecules that participate in each step of virus replication could provide valuable new targets for antiviral therapy, but this goal may take several decades to achieve with conventional forward genetic screening methods and mammalian cell cultures. Here we describe a novel genome-wide RNA interference (RNAi) screen in Drosophila that can be used to identify host genes important for influenza virus replication. After modifying influenza virus to allow infection of Drosophila cells and detection of influenza virus gene expression, we tested an RNAi library against 13,071 genes (90% of the Drosophila genome), identifying over 100 for which suppression in Drosophila cells significantly inhibited or stimulated reporter gene (Renilla luciferase) expression from an influenza-virus-derived vector. The relevance of these findings to influenza virus infection of mammalian cells is illustrated for a subset of the Drosophila genes identified; that is, for three implicated Drosophila genes, the corresponding human homologues ATP6V0D1, COX6A1 and NXF1 are shown to have key functions in the replication of H5N1 and H1N1 influenza A viruses, but not vesicular stomatitis virus or vaccinia virus, in human HEK 293 cells. Thus, we have demonstrated the feasibility of using genome-wide RNAi screens in Drosophila to identify previously unrecognized host proteins that are required for influenza virus replication. This could accelerate the development of new classes of antiviral drugs for chemoprophylaxis and treatment, which are urgently needed given the obstacles to rapid development of an effective vaccine against pandemic influenza and the probable emergence of strains resistant to available drugs.

Reproducibility of tumor volume measurement at microCT colonography in living mice

RATIONALE AND OBJECTIVES

We sought to demonstrate the viability of microcomputed tomographic colonography (muCTC) as a tool for monitoring tumorigenesis in mouse models of human colorectal cancer during prospective longitudinal studies. The precision and accuracy of volumetric measurements were determined to assess whether changes in tumor volume over time were readily detectable.

MATERIALS AND METHODS

All animal studies were conducted under the guidelines set forth by the Institutional Animal Care and Use Committee of the American Association for Assessment and Accreditation of Laboratory Animal Care. muCTC was performed on C57BL/6J (B6) mice carrying the Min allele of Apc, ultimately yielding 18 scans. Assessments of scan quality and tumor volume were both performed once per week over 8 weeks.

RESULTS

Scans with a good quality rating had a mean standard deviation in tumor volume measurement of 8%. By contrast, scans with a poor quality rating had a mean standard deviation in tumor volume measurement of 35%. Variables affecting muCTC scan quality in living mice included bowel preparation, motion artifact, and tumor morphology. Tumor volume measurements were highly correlated with tumor weight (r2 = 0.87).

CONCLUSIONS

The reproducibility of tumor volume measurement at muCTC in living mice makes prospective longitudinal evaluation of colonic tumor response feasible. For muCTC scans of good quality, a 16% change in tumor volume can be detected at the 95% confidence level.

Genome-wide expression profiling reveals EBV-associated inhibition of MHC class I expression in nasopharyngeal carcinoma

To identify the molecular mechanisms by which EBV-associated epithelial cancers are maintained, we measured the expression of essentially all human genes and all latent EBV genes in a collection of 31 laser-captured, microdissected nasopharyngeal carcinoma (NPC) tissue samples and 10 normal nasopharyngeal tissues. Global gene expression profiles clearly distinguished tumors from normal healthy epithelium. Expression levels of six viral genes (EBNA1, EBNA2, EBNA3A, EBNA3B, LMP1, and LMP2A) were correlated among themselves and strongly inversely correlated with the expression of a large subset of host genes. Among the human genes whose inhibition was most strongly correlated with increased EBV gene expression were multiple MHC class I HLA genes involved in regulating immune response via antigen presentation. The association between EBV gene expression and inhibition of MHC class I HLA expression implies that antigen display is either directly inhibited by EBV, facilitating immune evasion by tumor cells, and/or that tumor cells with inhibited presentation are selected for their ability to sustain higher levels of EBV to take maximum advantage of EBV oncogene-mediated tumor-promoting actions. Our data clearly reflect such tumor promotion, showing that deregulation of key proteins involved in apoptosis (BCL2-related protein A1 and Fas apoptotic inhibitory molecule), cell cycle checkpoints (AKIP, SCYL1, and NIN), and metastasis (matrix metalloproteinase 1) is closely correlated with the levels of EBV gene expression in NPC.

Spectroscopy of ultrathin epitaxial rutile TiO(2)(110) films grown on W(100)

Epitaxial ultrathin titanium dioxide films of 0.3 to approximately 7 nm thickness on a metal single crystal substrate have been investigated by high resolution vibrational and electron spectroscopies. The data complement previous morphological data provided by scanned probe microscopy and low energy electron diffraction to provide very complete characterization of this system. The thicker films display electronic structure consistent with a stoichiometric TiO(2) phase. The thinner films appear nonstoichiometric due to band bending and charge transfer from the metal substrate, while work function measurements also show a marked thickness dependence. The vibrational spectroscopy shows three clear phonon bands at 368, 438, and 829 cm(-1) (at 273 K), which confirms a rutile structure. The phonon band intensity scales linearly with film thickness and shift slightly to lower frequencies with increasing temperature, in accord with results for single crystals.

Fundamental differences in cell cycle deregulation in human papillomavirus-positive and human papillomavirus-negative head/neck and cervical cancers

Human papillomaviruses (HPV) are associated with nearly all cervical cancers, 20% to 30% of head and neck cancers (HNC), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, cervical cancers, and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. This analysis revealed that HPV(+) HNCs and cervical cancers differed in their patterns of gene expression yet shared many changes compared with HPV(-) HNCs. Some of these shared changes were predicted, but many others were not. Notably, HPV(+) HNCs and cervical cancers were found to be up-regulated in their expression of a distinct and larger subset of cell cycle genes than that observed in HPV(-) HNC. Moreover, HPV(+) cancers overexpressed testis-specific genes that are normally expressed only in meiotic cells. Many, although not all, of the hallmark differences between HPV(+) HNC and HPV(-) HNC were a direct consequence of HPV and in particular the viral E6 and E7 oncogenes. This included a novel association of HPV oncogenes with testis-specific gene expression. These findings in primary human tumors provide novel biomarkers for early detection of HPV(+) and HPV(-) cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV(+) cancers.

Genes involved in DNA repair and nitrosamine metabolism and those located on chromosome 14q32 are dysregulated in nasopharyngeal carcinoma

Polymorphisms in nitrosamine metabolism, DNA repair, and immune response genes have been associated with nasopharyngeal carcinoma (NPC). Studies have suggested chromosomal regions involved in NPC. To shed light on NPC etiology, we evaluated host gene expression patterns in 31 NPC and 10 normal nasopharyngeal tissue specimens using the Affymetrix Human Genome U133 Plus 2.0 Array. We focused on genes in five a priori biological pathways and chromosomal locations. Rates of differential expression within these prespecified lists and overall were tested using a bootstrap method. Differential expression was observed for 7.6% of probe sets overall. Elevations in rate of differential expression were observed within the DNA repair (13.7%; P = 0.01) and nitrosamine metabolism (17.5%; P = 0.04) pathways. Differentially expressed probe sets within the DNA repair pathway were consistently overexpressed (93%), with strong effects observed for PRKDC, PCNA, and CHEK1. Differentially expressed probe sets within the nitrosamine metabolism pathway were consistently underexpressed (100%), with strong effects observed for NQ01, CYP2B6, and CYP2E1. No significant evidence of increases in rate of differential expression was seen within the immune/inflammatory pathway. A significant elevation in rate of differential expression was noted for chromosome 4p15.1-4q12 (13.0%; P = 0.04); both overexpression and underexpression were evident (38% and 62%, respectively). An elevation in the rate of differential expression on chromosome 14q32 was observed (11.3%; P = 0.06) with a consistent pattern of gene underexpression (100%; P < 0.0001). These effects were similar when excluding late-stage tumors. Our results suggest that nitrosamine activation and DNA repair are important in NPC. The consistent down-regulation of expression on chromosome 14q32 suggests loss of heterozygosity in this region.

Structure of adsorbed organometallic rhodium: model single atom catalysts

We have determined the structure of a complex rhodium carbonyl chloride [Rh(CO)2Cl] molecule adsorbed on the TiO2(110) surface by the normal incidence x-ray standing wave technique. The data show that the technique is applicable to reducible oxide systems and that the dominant adsorbed species is undissociated with Rh binding atop bridging oxygen and to the Cl found close to the fivefold coordinated Ti ions in the surface. A minority geminal dicarbonyl species, where Rh-Cl bond scission has occurred, is found bridging the bridging oxygen ions forming a high-symmetry site.

A statistical test of the hypothesis that polyclonal intestinal tumors arise by random collision of initiated clones

The random collision hypothesis is a mathematical idealization of intestinal tumor formation that can account for the polyclonal origin of tumors without requiring a mechanistic description of clonal interaction. Using data from recent polyclonality studies in mice, we develop a statistical procedure to test the random collision hypothesis. Elements from stochastic geometry and approximations due to Armitage (1949, Biometrika 36, 257-266) support a statistical model of tumor count data. Bayesian analysis yields the posterior distribution of the number of heterotypic tumors, from which p-values are computed to test random collision.

On estimating the polyclonal fraction in lineage-marker studies of tumor origin

Insight into the biology of tumor formation is provided by studies which demonstrate through the use of cell-lineage markers that some tumors have a polyclonal origin. Novelli et al. (1996) proposed to use the proportion of heterotypic tumors among the tumors that are either heterotypic or pure and of the minority marker type as a lower bound on the marginal fraction of polyclonal tumors. Generally, Novelli's ratio does not provide a valid lower bound for the marginal polyclonal fraction, as we demonstrate by analyzing relevant conditional probabilities. Estimation of the polyclonal fraction requires modeling assumptions on the distribution of the number of involved clones. Using three elementary models, we develop maximum likelihood estimation of the polyclonal fraction. We establish robustness of our estimates to misspecification of the clone-marking process, though the estimates are sensitive to assumptions about polyclonal mechanisms. On data from several published studies, our estimates of the polyclonal fraction are substantially smaller than Novelli's ratio.

From gene mutations to tumours--stem cells in gastrointestinal carcinogenesis

Stem cells share many properties with malignant cells, such as the ability to self-renew and proliferate. Cancer is believed to be a disease of stem cells. The gastrointestinal tract has high cancer prevalence partly because of rapid epithelial cell turnover and exposure to dietary toxins. The molecular pathways of carcinogenesis differ according to the tissue. Work on hereditary cancer syndromes including familial adenomatous polyposis (FAP) has led to advances in our understanding of the events that occur in tumour development from a gastrointestinal stem cell. The initial mutation involved in the adenoma-carcinoma sequence is in the 'gatekeeper' tumour-suppressor gene adenomatous polyposis coli (APC). Somatic hits in this gene are non-random in FAP, with the type of mutation selected for by the position of the germline mutation. In the stomach, a metaplasia-dysplasia sequence occurs and is often related to Helicobacter pylori infection. Clonal expansion of mutated cells occurs by niche succession. Further expansion of the aberrant clone then occurs by the longitudinal division of crypts into two daughter units--crypt fission. Two theories seek to explain the early development of adenomas--the 'top down' and 'bottom up' hypotheses. Initial studies suggested that colorectal tumours were monoclonal; however, later work on chimeric mice and a sex chromosome mixoploid patient with FAP suggested that up to 76% of early adenomas were polyclonal. Introduction of a homozygous resistance allele has reduced tumour multiplicity in the mouse and has been used to rule out random collision of polyps as the cause of these observations. It is likely that short-range interaction between adjacent initiated crypts is responsible for polyclonality.

Lack of association between EBV and breast carcinoma

Multiple conflicting findings have been presented which indicate that EBV may be found in anywhere from 0% to 51% of breast carcinomas. When EBV has been found causally associated with other human cancers, its DNA and one or more of its viral products have been detected in most tumor cells of a given biopsy. To test whether EBV has such an association with breast cancer, we measured the number of viral DNA molecules per cell in matched normal and tumor biopsies from 45 patients using real-time quantitative PCR. In no case could EBV DNA consistently be detected, with either of two different probes, at levels above 0.1 molecules per cell in two sections of the tumor samples. These levels of detection match those detected in EBV-negative cell lines and therefore likely represent noise in the assays. Equally importantly, the distribution of these low signals was the same between tumors and their matched normal controls. We conclude that EBV does not contribute to the development of breast cancers as it does to epithelial cancers such as nasopharyngeal and gastric carcinomas or to Burkitt's and Hodgkin's lymphomas.

Genetic determination of susceptibility to estrogen-induced mammary cancer in the ACI rat: mapping of Emca1 and Emca2 to chromosomes 5 and 18

Hormonal, genetic, and environmental factors play major roles in the complex etiology of breast cancer. When treated continuously with 17beta-estradiol (E2), the ACI rat exhibits a genetically conferred propensity to develop mammary cancer. The susceptibility of the ACI rat to E2-induced mammary cancer appears to segregate as an incompletely dominant trait in crosses to the resistant Copenhagen (COP) strain. In both (ACI x COP)F(2) and (COP x ACI)F(2) populations, we find strong evidence for a major genetic determinant of susceptibility to E2-induced mammary cancer on distal rat chromosome 5. Our data are most consistent with a model in which the ACI allele of this locus, termed Emca1 (estrogen-induced mammary cancer 1), acts in an incompletely dominant manner to increase both tumor incidence and tumor multiplicity as well as to reduce tumor latency in these populations. We also find evidence suggestive of a second locus, Emca2, on chromosome 18 in the (ACI x COP)F(2) population. The ACI allele of Emca2 acts in a dominant manner to increase incidence and decrease latency. Together, Emca1 and Emca2 act independently to modify susceptibility to E2-induced mammary cancer.