Parentage analysis with genetic markers in natural populations. I. The expected proportion of offspring with unambiguous paternity.

Recent studies indicate that polymorphic genetic markers are potentially helpful in resolving genealogical relationships among individuals in a natural population. Genetic data provide opportunities for paternity exclusion when genotypic incompatibilities are observed among individuals, and the present investigation examines the resolving power of genetic markers in unambiguous positive determination of paternity. Under the assumption that the mother for each offspring in a population is unambiguously known, an analytical expression for the fraction of males excluded from paternity is derived for the case where males and females may be derived from two different gene pools. This theoretical formulation can also be used to predict the fraction of births for each of which all but one male can be excluded from paternity. We show that even when the average probability of exclusion approaches unity, a substantial fraction of births yield equivocal mother-father-offspring determinations. The number of loci needed to increase the frequency of unambiguous determinations to a high level is beyond the scope of current electrophoretic studies in most species. Applications of this theory to electrophoretic data on Chamaelirium luteum (L.) shows that in 2255 offspring derived from 273 males and 70 females, only 57 triplets could be unequivocally determined with eight polymorphic protein loci, even though the average combined exclusionary power of these loci was 73%. The distribution of potentially compatible male parents, based on multilocus genotypes, was reasonably well predicted from the allele frequency data available for these loci. We demonstrate that genetic paternity analysis in natural populations cannot be reliably based on exclusionary principles alone. In order to measure the reproductive contributions of individuals in natural populations, more elaborate likelihood principles must be deployed.

TYPE I INSULIN-LIKE GROWTH FACTOR RECEPTOR TYROSINE KINASE AS A MOLECULAR TARGET IN MANTLE CELL LYMPHOMA

Mantle cell lymphoma (MCL) is an aggressive B-cell lymphoid malignancy representing 5-10% of all non-Hodgkin’s lymphomas. It is distinguished by the t(11;14)(q13;q32) chromosomal translocation that juxtaposes the proto-oncogene CCND1, which encodes cyclin D1 at 11q13 to the IgH gene at 14q32. MCL patients represent about 6% of all new cases of Non-Hodgkin’s lymphomas per year or about 3,500 new cases per year. MCL occurs more frequently in older adults – the average age at diagnosis is the mid-60s with a male-to-female ratio of 2-3:1. It is typically characterized by the proliferation of neoplastic B-lymphocytes in the mantle zone of the lymph node follicle that have a prominent inclination to disseminate to other lymphoid tissues, bone marrow, peripheral blood and other organs. MCL patients have a poor prognosis because they develop resistance/relapse to current non-specific therapeutic regimens. It is of note that the exact molecular mechanisms underlying the pathogenesis of MCL are not completely known. It is reasonable to anticipate that better characterization of these mechanisms could lead to the development of specific and likely more effective therapeutics to treat this aggressive disease. The type I insulin-like growth factor receptor (IGF-IR) is thought to be a key player in several different solid malignancies such as those of the prostate, breast, lung, ovary, skin and soft tissue. In addition, recent studies in our lab showed evidence to support a pathogenic role of IGF-IR in some types of T-cell lymphomas and chronic myeloid leukemia. Constitutively active IGF-IR induces its oncogenic effects through the inhibition of apoptosis and induction of transformation, metastasis, and angiogenesis. Previous studies have shown that signaling through IGF-IR leads to the vi activation of multiple signaling transduction pathways mediated by the receptor-associated tyrosine kinase domain. These pathways include PI3K/Akt, MAP kinase, and Jak/Stat. In the present study, we tested the possible role of IGF-IR in MCL. Our results demonstrate that IGF-IR is over-expressed in mantle cell lymphoma cell lines compared with normal peripheral blood B- lymphocytes. Furthermore, inhibition of IGF-IR by the cyclolignan picropodophyllin (PPP) decreased cell viability and cell proliferation in addition to induction of apoptosis and G2/M cell cycle arrest. Screening of downstream oncogenes and apoptotic proteins that are involved in both IGF-IR and MCL signaling after treatment with PPP or IGF-IR siRNA showed significant alterations that are consistent with the cellular changes observed after PPP treatment. Therefore, our findings suggest that IGF-IR signaling contributes to the survival of MCL and thus may prove to be a legitimate therapeutic target in the future.

Current Resources

Reviews include: The Managed Care Answer Book for Mental Health Professionals. ( 1997) Gayle McCracken Tuttle and Dianne Rush Woods. Bristol, P A: Brunner/Mazel, Inc. Reviewed by Patricia Newlin Somebody Else's Children: and the Struggle to Save America's Troubled Families. (1996) John Hubner and Jill Wolfson. New York: Three Rivers Press. Reviewed by John Nasuti Assessing the Long-Term Effects of Foster Care-A Research Synthesis. (1996) Thomas P. McDonald, Reva I. Allen, Alex Westerfield, and Irving Piliavin. Washington, D.C.: CWLA Press. Reviewed by Anthony N. Ma/uccio

Current Resources

Reviews of: The Book of David: How Preserving Families Can Cost Children's Lives. Richard J. Gelles. New York: Basic Books. Reviewed by Marianne Berry Children in Families at Risk: Maintaining the Connections. Edited by Lee Combrinck-Graham. New York: TheGuilford Press. Reviewed by Lois Wright Fantily-Centered Behavior Scale and User's Manual. Reva I. Allen, Christopher G. Peter, & Beverlyn F. Cay Brown. The University of Kansas. Reviewed by Miriam J. Landsman

Modified 3+3 design for phase I clinical trials

Phase I clinical trial is mainly designed to determine the maximum tolerated dose (MTD) of a new drug. Optimization of phase I trial design is crucial to minimize the number of enrolled patients exposed to unsafe dose levels and to provide reliable information to the later phases of clinical trials. Although it has been criticized about its inefficient MTD estimation, nowadays the traditional 3+3 method remains dominant in practice due to its simplicity and conservative estimation. There are many new designs that have been proven to generate more credible MTD estimation, such as the Continual Reassessment Method (CRM). Despite its accepted better performance, the CRM design is still not widely used in real trials. There are several factors that contribute to the difficulties of CRM adaption in practice. First, CRM is not widely accepted by the regulatory agencies such as FDA in terms of safety. It is considered to be less conservative and tend to expose more patients above the MTD level than the traditional design. Second, CRM is relatively complex and not intuitive for the clinicians to fully understand. Third, the CRM method take much more time and need statistical experts and computer programs throughout the trial. The current situation is that the clinicians still tend to follow the trial process that they are comfortable with. This situation is not likely to change in the near future. Based on this situation, we have the motivation to improve the accuracy of MTD selection while follow the procedure of the traditional design to maintain simplicity. We found that in 3+3 method, the dose transition and the MTD determination are relatively independent. Thus we proposed to separate the two stages. The dose transition rule remained the same as 3+3 method. After getting the toxicity information from the dose transition stage, we combined the isotonic transformation to ensure the monotonic increasing order before selecting the optimal MTD. To compare the operating characteristics of the proposed isotonic method and the other designs, we carried out 10,000 simulation trials under different dose setting scenarios to compare the design characteristics of the isotonic modified method with standard 3+3 method, CRM, biased coin design (BC) and k-in-a-row design (KIAW). The isotonic modified method improved MTD estimation of the standard 3+3 in 39 out of 40 scenarios. The improvement is much greater when the target is 0.3 other than 0.25. The modified design is also competitive when comparing with other selected methods. A CRM method performed better in general but was not as stable as the isotonic method throughout the different dose settings. The results demonstrated that our proposed isotonic modified method is not only easily conducted using the same procedure as 3+3 but also outperforms the conventional 3+3 design. It can also be applied to determine MTD for any given TTL. These features make the isotonic modified method of practical value in phase I clinical trials.^