癌症与可变剪接

可变剪接在发育、分化和癌症等过程中发挥着非常重要的作用。近年来,越来越多的研究表明可变剪接与癌症有着密切的关系,许多癌症相关基因受可变剪接调控。由于癌症特异性的剪接变体具有明显的诊断价值,使得对癌症与可变剪接的研究成为热点。简要概述了癌症相关基因的可变剪接、可变剪接变体的鉴定方法、可变剪接与癌症治疗等研究进展。     

Targeted Bifunctional Proteins and Hybrid Nanoconstructs for Cancer Diagnostics and Therapies

In this review, the authors' works published within the past 5 years devoted to the development of bifunctional hybrid nanostructures based on the targeting polypeptides and nanoparticles of various origin (quantum dots, nanogold, nanodiamonds, upconversion nanoparticles, magnetic and polymer nanoparticles) as modules that ensure visualization and various damaging effects on cancer cells are surveyed and the prospects of their application in theranostics and precision medicine have been contemplated.     

Toward an Integrative Medicine: Merging Alternative Therapies with Biomedicine

Toward an Integrative Medicine: Merging Alternative Therapies with Biomedicine. Hans Baer. Lanham, MD: AltaMira Press, 2005. 203 pp.     

进展期胃癌靶向治疗的研究进展

胃癌是消化系统最常见的恶性肿瘤之一,全球每年胃癌新发病例数接近百万,严重影响着人类健康.近年来医学领域发展迅速,不管是胃癌的手术方式,还是放疗、化疗等治疗手段均获得了较大提高.但是由于缺乏有效早期诊断方法,大多数胃癌患者确诊时已进入疾病晚期,所以尽管医学技术不断发展,胃癌的死亡率依然居高不下.随着对胃癌分子机制的不断深入研究,一种直接作用于胃癌主要信号转导通路上某一特定靶点的新型治疗方式-分子靶向治疗逐渐成为当前肿瘤研究的热点.目前已有多种单克隆抗体及小分子靶向药物进入临床,用于人体多种肿瘤的治疗并呈现较好疗效.分子靶向治疗的出现为进展期肿瘤患者带来了新的希望.本文主要就进展期胃癌分子靶向治疗现状以及最新研究进展作一综述.     

Preventing and Controlling Cancer in North America: A Cross-Cultural Perspective; Evaluating Alternative Cancer Therapies: A Guide to the Science and Politics of an Emerging Medical Field

Preventing and Controlling Cancer in North America:. Cross-Cultural Perspective. Diane Weiner. ed. Westport, CT: Praeger Publishers, 1999. xvii. 245 pp.
Evaluating Alternative Cancer Therapies:. Guide to the Science and Politics of an Emerging Medical Field. David J. Hess. New Brunswick, NJ: Rutgers University Press, 1999. xxi. 260 pp.     

The Search for Breast Cancer Therapies – the Value of Genetically Engineered Mice

Transgenic Research -     

Combining Information from Cancer Registry and Medical Records Data to Improve Analyses of Adjuvant Cancer Therapies

Summary .  Cancer registry records contain valuable data on provision of adjuvant therapies for cancer patients. Previous studies, however, have shown that these therapies are underreported in registry systems. Hence direct use of the registry data may lead to invalid analysis results. We propose first to impute correct treatment status, borrowing information from an additional source such as medical records data collected in a validation sample, and then to analyze the multiply imputed data, as in Yucel and Zaslavsky (2005,  Journal of the American Statistical Association   100, 1123–1132). We extend their models to multiple therapies using multivariate probit models with random effects. Our model takes into account the associations among different therapies in both administration and probability of reporting, as well as the multilevel structure (patients clustered within hospitals) of registry data. We use Gibbs sampling to estimate model parameters and impute treatment status. The proposed methodology is applied to the data from the Quality of Cancer Care project, in which stage II or III colorectal cancer patients were eligible to receive adjuvant chemotherapy and radiation therapy.     

Policies and Programs to Facilitate Access to Targeted Cancer Therapies in Thailand

Background

Increasing access to clinically beneficial targeted cancer medicines is a challenge in every country due to their high cost. We describe the interplay of innovative policies and programs involving multiple stakeholders to facilitate access to these medicines in Thailand, as well as the utilization of selected targeted therapies over time.

Methods

We selected two medicines on the 2013 Thai national list of essential medicines (NLEM) [letrozole and imatinib] and three unlisted medicines for the same indications [trastuzumab, nilotinib and dasatinib]. We created timelines of access policies and programs for these products based on scientific and grey literature. Using IMS Health sales data, we described the trajectories of sales volumes of the study medicines between January 2001 and December 2012. We compared estimated average numbers of patients treated before and after the implementation of policies and programs for each product.

Results

Different stakeholders implemented multiple interventions to increase access to the study medicines for different patient populations. During 2007–2009, the Thai Government created a special NLEM category with different coverage requirements for payers and issued compulsory licenses; payers negotiated prices with manufacturers and engaged in pooled procurement; pharmaceutical companies expanded patient assistance programs and lowered prices in different ways. Compared to before the interventions, estimated numbers of patients treated with each medicine increased significantly afterwards: for letrozole from 645 (95% CI 366–923) to 3683 (95% CI 2,748–4,618); for imatinib from 103 (95% CI 72–174) to 350 (95% CI 307–398); and for trastuzumab from 68 (95% CI 45–118) to 412 (95% CI 344–563).

Conclusions

Government, payers, and manufacturers implemented multi-pronged approaches to facilitate access to targeted cancer therapies for the Thai population, which differed by medicine. Routine monitoring is needed to assess clinical and economic impacts of these strategies in the health system.     

A Continuum Mechanics Model of Enzyme-Based Tissue Degradation in Cancer Therapies

We propose a mathematical model to describe enzyme-based tissue degradation in cancer therapies. The proposed model combines the poroelastic theory of mixtures with the transport of enzymes or drugs in the extracellular space. The effect of the matrix-degrading enzymes on the tissue composition and its mechanical response are accounted for. Numerical simulations in 1D, 2D and axisymmetric (3D) configurations show how an injection of matrix-degrading enzymes alters the porosity of a biological tissue. We eventually exhibit numerically the main consequences of a matrix-degrading enzyme pretreatment in the framework of chemotherapy: the removal of the diffusive hindrance to the penetration of therapeutic molecules in tumors and the reduction of interstitial fluid pressure which improves transcapillary transport. Both effects are consistent with previous biological observations.     

Complementary and Alternative Medicine Use among Women with Breast Cancer

The legacy of 19th-century social theories applied to the study of non-mainstream treatment use continues to affect contemporary research into complementary and alternative medicine (CAM). Quantitatively based studies of CAM use have been hindered by the lack of an adequate lexicon, inaccurate characterizations of the people who use CAM, and underestimates of the prevalence of usage. Results from a qualitative prospective cohort study challenge previous stereotypes by indicating that CAM usage does not increase dramatically with the initial diagnosis of cancer and that younger women are more likely to use CAM than older women. Qualitative research methods are uniquely appropriate for obtaining accurate information about health practices that, despite growing acceptance in some areas of society, are still viewed as outside of the mainstream.     

Expression Analysis of Platinum Sensitive and Resistant Epithelial Ovarian Cancer Patient Samples Reveals New Candidates for Targeted Therapies

Ovarian cancer has the highest mortality rate of all gynecologic malignancies. Identification of new biomarkers is highly needed due to its late diagnosis and high recurrence rate. The objective of this study was to identify mechanisms of therapy resistance and potential biomarkers by analyzing mRNA and protein expression from samples derived from patients with platinum-sensitive and -resistant ovarian cancer (total cohort n?=?53). The data revealed new candidates for targeted therapies, such as GREB1 and ROR2. We showed that the development of platinum resistance correlated with upregulation of ROR2, whereas GREB1 was downregulated. Moreover, we demonstrated that high levels of ROR2 in platinum-resistant samples were associated with upregulation of Wnt5a, STAT3 and NF-kB levels, suggesting that a crosstalk between the non-canonical Wnt5a-ROR2 and STAT3/NF-kB signaling pathways. Upregulation of ROR2, Wnt5a, STAT3 and NF-kB was further detected in a platinum-resistant cell-line model. The results of the present study provided insight into molecular mechanisms associated with platinum resistance that could be further investigated to improve treatment strategies in this clinically challenging gynecological cancer.     

Fracture Risk and Adjuvant Therapies in Young Breast Cancer Patients: A Population-Based Study

Background

Breast cancer survivors have an increased risk of bone fracture. But the risk among young patients with adjuvant therapies remains unknown. This population-based study is aimed to assess the incidence and risk of fracture among young (age of 20 to 39 years) breast cancer patients who received adjuvant therapies.

Methods

From January 2001 to December 2007, 5,146 newly diagnosed breast cancer patients were enrolled from the National Health Insurance Research Database (NHIRD) in Taiwan. Patients were observed for a maximum of 6 years to determine the incidence of newly onset fracture. Kaplan Meier and Cox regression analyses were used to evaluate the risk of fracture in young breast cancer patients who received adjuvant treatments.

Results

Of the total 5,146 young (age of 20 to 39 years) breast cancer patients, the Cox multivariate proportional hazards analysis showed that AIs, radiotherapy, and monoclonal antibodies were significantly associated with a high risk of fracture. Moreover, patients who received AIs for more than 180 days had a high hazard ratio (HR) of 1.77 (95% CI = 0.68–4.57), and patients who received more than four radiotherapy visits had a high HR of 2.54 (95% CI = 1.07–6.06). Under the site-specific analysis, young breast cancer patients who received AIs had the highest risk of hip fracture (HR = 8.520, 95% CI = 1.711–42.432, p < 0.04), whereas patients who received radiotherapy had the highest risk of vertebral fracture (HR = 5.512, 95% CI = 1.847–16.451, p < 0.01).

Conclusion

Young breast cancer patients who are receiving AIs, radiotherapy or monoclonal antibody need to be more careful for preventing fracture events. Breast cancer treatment plans are suggested to incorporate fracture prevention interventions.     

Most Trial Eligibility Criteria and Patient Baseline Characteristics Do Not Modify Treatment Effect in Trials Using Targeted Therapies for Rheumatoid Arthritis: A Meta-Epidemiological Study

Objective

To determine if variations in trial eligibility criteria and patient baseline characteristics could be considered effect modifiers of the treatment response when testing targeted therapies (biological agents and targeted synthetic disease modifying antirheumatic drugs (DMARDs)) for rheumatoid arthritis (RA).

Methods

We conducted a meta-epidemiological study of all trials evaluating a targeted therapy approved by regulatory authorities for treating RA. The database search was completed on December 11^th 2013. Eligible trials reported ACR20 data at months 3–6 and used an add-on design. Odds ratios (ORs) were calculated from the response rates and compared among the trial eligibility criteria/patient baseline characteristics of interest. Comparisons are presented as the Ratio of Odds Ratios (ROR).

Results

Sixty-two trials (19,923 RA patients) were included in the primary analyses using ACR20 response. Overall, targeted therapies constituted an effective treatment (OR 3.96 95% confidence interval (CI) 3.41 to 4.60). The majority of the trial eligibility criteria and patient baseline characteristics did not modify treatment effect. The added benefit of targeted therapies was lower in trials including "DMARD-naïve" patients compared with trials including "DMARD inadequate responders" (ROR = 0.45, 95%CI 0.31 to 0.66) and trials including "targeted therapy inadequate responders" (0.50, 95%CI 0.29 to 0.87), test for interaction: p = 0.0002. Longer mean disease duration was associated with a higher likelihood of responding to treatment (β = 1.05, 95%CI 1.00 to 1.11 OR’s per year; p = 0.03). Analyses conducted using DAS28-remission as the outcome supported the above-mentioned findings.

Conclusion

Our results suggest that a highly selective inclusion is not associated with greater treatment effect, as might otherwise be expected. The added benefit of a targeted therapy was lower in trials including patients who were DMARD-naïve and trials including patients with shorter disease durations.