Cell Cycle Checkpoints p16 and p21—Strong Predictors of Clinicopathologic Outcomes in High-Grade Osteosarcoma

骨肉瘤 医学 免疫组织化学 化疗 坏死 活检 内科学 疾病 肿瘤科 病理
作者
Elham Nasri,Dianne Torrence,Terrie Vasilopoulos,Jacquelyn A. Knapik,Joanne Lagmay,John D. Reith,Charles P. Gibbs
出处
期刊:The cancer journal [Lippincott Williams & Wilkins]
卷期号:30 (3): 133-139 被引量:2
标识
DOI:10.1097/ppo.0000000000000714
摘要

Osteosarcoma is the most common primary malignant neoplasm of bone. Despite recent advances in the management of the disease, the overall survival of patients has failed to improve in the past 30 years due to the biological and genetic complexities of the disease and the lack of reliable prognostic and predictive markers to guide the treatments. Histologic tumor necrosis in response to chemotherapy has served as the most reliable predictor of disease outcome for years. Patients with a good histologic response (greater than 90% tumor necrosis) to chemotherapy had better disease outcomes compared with patients with a poor histologic response (less than 90% tumor necrosis). With the changes in the intensity of chemotherapeutic regimens, the prognostic value of histologic measurement of tumor necrosis has been questioned in recent studies. Purpose In this study, we used a series of immunohistochemical measurements of 2 cell cycle regulators, p16 and p21, to evaluate their prognostic value, separately and in combination, for the disease outcomes. Method A total of 101 patients with high-grade osteosarcoma were included in this study. Clinicopathologic data were collected, and immunohistochemistry for p16 and p21 was performed and interpreted by 3 independent pathologists. Statistical analysis was performed to assess the strength of each of these markers relative to disease outcome. Results Our results indicate that more than 90% expression (high) of p16 by immunohistochemistry on the initial biopsy has a strong predictive value for good histologic response to chemotherapy. The patients are also more likely to survive the past 5 years and less likely to develop metastasis than patients with less than 90% p16 (low) expression. The results for p21, on the other hand, show a unique pattern of relationship to the clinicopathologic outcomes of the disease. Patients with less than 1% (low) or more than 50% (high) expression of p21 by immunohistochemistry show a higher chance of metastasis, poor necrotic response to chemotherapy, and an overall decreased survival rate when compared with p21 expression between 1% and 50% (moderate). Our results also showed that the expression of p16 and combined p16 and p21 demonstrates a stronger predictive relationship to 5-year survival than tumor histologic necrosis and p21 alone. Discussion The results of this study, once proven to be reproducible by a larger number of patients, will be valuable in the initial assessment and risk stratification of the patients for treatment and possibly the clinical trials.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
coco完成签到,获得积分10
1秒前
小黑完成签到,获得积分10
1秒前
小雯完成签到,获得积分10
1秒前
小鱼发布了新的文献求助10
1秒前
112233给112233的求助进行了留言
2秒前
mu完成签到,获得积分20
2秒前
qq发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
吴3L完成签到,获得积分10
4秒前
医路无悔完成签到 ,获得积分10
4秒前
4秒前
4秒前
Sooyaaa发布了新的文献求助10
5秒前
5秒前
5秒前
温柔一枪王小双完成签到,获得积分10
6秒前
shiny发布了新的文献求助10
6秒前
忧心的不言完成签到,获得积分10
6秒前
陈俊涛发布了新的文献求助10
6秒前
sheryl发布了新的文献求助10
6秒前
爆米花应助longL采纳,获得10
6秒前
6秒前
7秒前
科目三应助feeuoo采纳,获得10
7秒前
7秒前
7秒前
8秒前
yuan发布了新的文献求助10
8秒前
香蕉觅云应助Volcano采纳,获得30
8秒前
胡萝卜发布了新的文献求助10
9秒前
长情的嘉懿完成签到 ,获得积分10
10秒前
超级翠曼完成签到 ,获得积分10
10秒前
Yukii发布了新的文献求助10
11秒前
Maestro_S发布了新的文献求助10
11秒前
Orange应助碧蓝的灵安采纳,获得10
11秒前
积极早晨发布了新的文献求助10
12秒前
负责的高烽完成签到,获得积分10
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Social Psychology in the Real World 800
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7410669
求助须知:如何正确求助?哪些是违规求助? 9014716
关于积分的说明 19200020
捐赠科研通 7042577
什么是DOI,文献DOI怎么找? 3233176
关于科研通互助平台的介绍 2395481
邀请新用户注册赠送积分活动 2215239