PubMed HealthSearch

PubMed · 1649581

[Phase III study--current status and problems].

Abstract

Phase III studies are the last step in evaluation of the new drugs or treatment modalities, and have one of the following purposes: 1) to determine the effect of a treatment relative to the natural history of the disease; 2) to determine whether a new treatment is more effective than a standard therapy; 3) to determine whether a new treatment is as effective as a standard therapy but is associated with less toxicity. In general, a phase III study is performed in a disease-oriented prospective randomized setting. The design of phase III study is described in this paper. In designing a trial, we must decide the endpoints which are appropriate for comparison of each treatment. The endpoints for phase III study include tumor shrinkage, disease-free survival, overall survival, toxicity and quality of life. In a phase III study, it is very important to determine how many patients should be studied (sample size). The sample size that will be needed for each endpoint depends on the expected difference between the standard and the experimental arms. Once the required number of patients is determined, the investigator must verify that there will be enough patients available to complete the trial. The most common cause of an uninterpretable result in these trials is the accrual of too few patients to make a definitive statement.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S Negoro, M Fukuoka. 1991. [Phase III study--current status and problems].. https://pubmed.ncbi.nlm.nih.gov/1649581/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Deep generative neural network for accurate drug response imputation.

Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. Particularly, transcriptome context, especially tumor microenvironment, has been shown playing a significant role in shaping the actual treatment outcome. In this study, we develop a deep variational autoencoder (VAE) model to compress thousands of genes into latent vectors in a low-dimensional space. We then demonstrate that these encoded vectors could accurately impute drug response, outperform standard signature-gene based approaches, and appropriately control the overfitting problem. We apply rigorous quality assessment and validation, including assessing the impact of cell line lineage, cross-validation, cross-panel evaluation, and application in independent clinical data sets, to warrant the accuracy of the imputed drug response in both cell lines and cancer samples. Specifically, the expression-regulated component (EReX) of the observed drug response achieves high correlation across panels. Using the well-trained models, we impute drug response of The Cancer Genome Atlas data and investigate the features and signatures associated with the imputed drug response, including cell line origins, somatic mutations and tumor mutation burdens, tumor microenvironment, and confounding factors. In summary, our deep learning method and the results are useful for the study of signatures and markers of drug response.

Antineoplastic Agents

Aphidicolin selectively kills neuroblastoma cells in vitro.

Aphidicolin is a tetracyclic diterpene antibiotic which is known to inhibit the growth of eucaryotic cells by reversible binding to DNA polymerase alpha without significant effect on cell viability in most common human cell lines. We observed that aphidicolin at a concentration of 5 x 10(-7) M kills all cells of four human neuroblastoma cell lines. In contrast, viability of normal human embryonal cells and of human continuous cell lines including HeLa, H9, A549 and Caco-2 was influenced only moderately by aphidicolin. In addition, neuroblastoma cells were killed after treatment with 5 x 10(-7) M aphidicolin in cocultures with normal embryonal cells which continued to proliferate after removal of aphidicolin. These results show that aphidicolin provides an agent which selectively kills neuroblastoma cells in vitro.

Antineoplastic Agents

Relationship of cellular glutathione to the cytotoxicity and resistance of seven platinum compounds.

The role of glutathione (GSH) in the effectiveness of and resistance to 7 platinum compounds [5 Pt(II) and 2 Pt(IV) drugs] was evaluated in a 8.6-fold cisplatin (CDDP)-resistant human small cell lung cancer cell line (GLC4/CDDP), the parent GLC4 line, a 3.7-fold CDDP-resistant human embryonal carcinoma cell line (Tera-CP), and the parent Tera line (NTera2/D1). Resistance factors for both CDDP-resistant cell lines were determined after continuous incubation (4 days) with CDDP. Continuous incubation with the other studied platinum drugs revealed complete cross-resistance for carboplatin (CBDCA) and zeniplatin but less for enloplatin (ENLO) and iproplatin in both models. Tetraplatin and lobaplatin showed, respectively, partial and complete cross-resistance in GLC4/CDDP but no cross-resistance in Tera-CP. GSH level, but not glutathione S-transferase activity, of the 4 cell lines correlated with platinum drug concentrations inhibiting cell survival by 50% after continuous incubation (r = 0.86, P < 0.05). GSH depletion by DL-buthionine-S,R-sulfoximine (BSO) increased sensitivity, as measured after a 4-h exposure to the drugs, of GLC4/CDDP for CDDP 2.0-fold, for CBDCA 1.7-fold, for zeniplatin 1.7-fold, and almost to the level of the sensitive GLC4 for ENLO, whereas no effect was observed for lobaplatin and the Pt(IV) compounds iproplatin and tetraplatin. BSO-modulating effect was higher in the sensitive GLC4 line for most compounds; therefore reduction of resistance could be achieved only for CDDP and ENLO. In contrast to GLC4, no modulation occurred in Tera. In Tera-CP BSO increased sensitivity for CDDP 1.5-fold, for CBDCA 1.9-fold, and for zeniplatin 1.2-fold; no effect was observed for ENLO, lobaplatin, and the Pt(IV) compounds. Reduction of CDDP resistance by BSO was known to occur with identical cellular platinum levels and higher Pt-DNA binding in GLC4/CDDP. However, pretreatment with BSO followed by 4 h ENLO incubation increased cellular platinum levels in both GLC4 and GLC4/CDDP while Pt-DNA binding remained unchanged. In conclusion, GSH reflected sensitivity to platinum-containing drugs. However, since the involvement of GSH differed between the models and the various platinum drugs, the effect of modulation with BSO was unpredictable.

Antineoplastic Agents