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个性化医疗研究国际文献分析

已有 2236 次阅读 2013-9-3 10:54 |个人分类:信息分析|系统分类:科研笔记| 国际

 

       个性化医疗(Personalizedmedicine),又称精准医疗,是指以个人基因组信息为基础,结合蛋白质组,代谢组等相关内环境信息,为病人量身设计出最佳治疗方案,以期达到治疗效果最大化和副作用最小化的一门定制医疗模式。个性化医疗的终极目标是要全面地确定不同人群的遗传差异以及特定遗传功能(或遗传特征的组合)与疾病的细分或不同疾病治疗方案效果之间的关联。
       药物基因组学探讨基因变异对药物反应的影响。这个学科的根本目的是为病人提供最合适药物种类和最佳剂量的精准指导,从而提高药物的疗效和安全性。同时基因组学的研究也可以加快研发新的治疗途径和方法。
       肿瘤学是一种研究肿瘤(尤其是恶性肿瘤)的病因、预防、诊断、治疗以及基础研究的综合性、独立性医学二级学科。这种肿瘤学研究手段通过每位患者肿瘤样本的组织学检查去寻找病程相关的标记物和可能的治疗反应。因此,“个性化医疗”的实践比“个性化医疗”本身这个词的出现还要早。新的分子检测方法,通过对个人基因、蛋白、信号转导和癌症细胞突变的精密探测,更好地确定了患者的疾病进程,从而提出最有可能成功的治疗建议。
       癌症遗传学是医学遗传学的一个特定领域。他关注的是癌症的遗传风险。目前,有少数癌症易感综合征具有常染色体显性遗传方式,导致特定癌症风险的显著提高。据估计,家族癌症占所有癌症的约5-10%。然而,可能对于没有显著家族史的个人,影响力较小基因变异,也能提供更精确的癌症风险评估。
 

检索策略  personalized medicine OR "individualized medicine"[mesh]

检索时间  2013年9月3日10时

检索结果 PUBMED数据库检索到相关文献3507篇

分析平台  http://www.pubmedplus.cn/Pubmed/LoadStatistic

分析结果如下:

研究主题领域

01. individualized medicine     3507100.000%

02. neoplasms     128536.641%
03. prognosis     63117.993%
04. biological markers     61417.508%
05. genetic variation     52414.942%
06. pharmacogenetics     45112.860%
07. genomics     39711.320%
08. antineoplastic agents     38711.035%
09. treatment outcome     37710.750%
10. genotype     3439.780%
11. clinical trials as topic     3429.752%
12. tumor markers, biological     3078.754%
13. cardiovascular diseases     3008.554%
14. biomedical research     2968.440%
15. molecular targeted therapy     2637.499%
16. polymorphism, genetic     2477.043%
17. genetic testing     2446.958%
18. mutation     2396.815%
19. phenotype     2266.444%
21. breast neoplasms     1785.076%
22. genome, human     1765.019%
23. risk factors     1734.933%
24. drug discovery     1694.819%
25. risk assessment     1644.676%
26. lung neoplasms     1614.591%
27. evidence-based medicine     1484.220%
28. patient selection     1474.192%
29. pharmaceutical preparations     1454.135%
30. combined modality therapy     1434.078%
31. models, biological     1424.049%
32. sequence analysis, dna     1253.564%
33. predictive value of tests     1243.536%
35. gene expression profiling     1203.422%
36. translational medical research     1203.422%
37. antibodies, monoclonal     1143.251%
38. carcinoma, non-small-cell lung     1113.165%
40. practice guidelines as topic     1032.937%
41. genome-wide association study     1022.908%
42. algorithms     982.794%
43. drug delivery systems     962.737%
44. forecasting     942.680%
46. signal transduction     912.595%
47. time factors     832.367%
48. drug resistance, neoplasm     812.310%
49. reproducibility of results     802.281%

文献作者分布

 01. Roukos DH     200.570%

02. Terzic A     120.342%
03. Blobel B     110.314%
04. Waldman SA     110.314%
05. Ginsburg GS     110.314%
06. Patrinos GP     90.257%
07. Zhang L     90.257%
08. Schilsky RL     80.228%
09. Gurbel PA     80.228%
10. Zineh I     80.228%
11. Itoh K     80.228%
12. Tantry US     80.228%
13. Altman RB     80.228%
14. Printz C     80.228%
15. Leino-Kilpi H     70.200%
16. Khoury MJ     70.200%
17. Kroemer HK     70.200%
18. Rosell R     70.200%
19. Noguchi M     70.200%
20. Wang Y     70.200%
21. Roden DM     70.200%
22. Suhonen R     70.200%
23. Jain KK     70.200%
24. Lesko LJ     70.200%
25. Ashley EA     60.171%
26. McCabe ER     60.171%
27. Brunicardi FC     60.171%
28. Yamada A     60.171%
29. Herbst RS     50.143%
30. Burke W     50.143%
31. Sanoudou D     50.143%
32. Danesi R     50.143%
33. Ross JS     50.143%
34. Hidalgo M     50.143%
35. Eng C     50.143%
36. Topol EJ     50.143%
37. Abernethy AP     50.143%
38. Bianchi DW     40.114%
39. Bristow RG     40.114%
40. Demeure MJ     40.114%
41. Hayden MR     40.114%
42. Brauch H     40.114%
43. Baselga J     40.114%
44. Evans WE     40.114%
45. Agur Z     40.114%
46. Chen L     40.114%
47. Callaway E     40.114%
48. Chen C     40.114%
49. Gibbs RA     40.114%
50. Cohen N     40.114%

研究机构分布

01. medical school     762.167%

02. university medical center     752.139%
03. university of california     411.169%
04. duke university     361.027%
05. harvard medical school     350.998%
06. mayo clinic     330.941%
07. national cancer institute     260.741%
08. stanford university     240.684%
09. university of chicago     240.684%
10. national institutes of health     240.684%
11. university of pittsburgh     210.599%
12. duke university medical center     190.542%
13. university of toronto     190.542%
14. massachusetts general hospital     190.542%
15. brigham and women's hospital     170.485%
17. dana-farber cancer institute     160.456%
19. imperial college london     150.428%
20. university of florida     150.428%
21. baylor college of medicine     140.399%
22. university of washington     140.399%
23. thomas jefferson university     130.371%
24. karolinska institutet     120.342%
26. the university of chicago     120.342%
27. mount sinai school of medicine     120.342%
28. food and drug administration     120.342%
30. vu university medical center     110.314%
31. university of british columbia     100.285%
32. university college london     90.257%
34. hospital clinic     90.257%
36. national university of singapore     80.228%
38. cleveland clinic     80.228%
40. cardiff university     70.200%
42. university of turku     60.171%
43. king's college london     60.171%
44. university hospital zurich     60.171%
45. ehealth competence center     60.171%
47. jain pharmabiotech     50.143%
49. peter maccallum cancer centre     50.143%
50. center for genomic medicine     50.143%

文献年代分布

  01. 2012     133338.010%

02. 2011     105730.140%
03. 2010     80422.926%
04. 2013     36410.379%
05. 2009     2276.473%
06. 2008     220.627%
07. 2006     30.086%
08. 2007     30.086%
09. 2003     10.029%
10. 2005     10.029%

文献期刊分布

01. Pharmacogenomics     832.367%

02. Nature     591.682%
03. J Clin Oncol     501.426%
04. Clin Pharmacol Ther     461.312%
05. Stud Health Technol Inform     381.084%
06. Clin Cancer Res     260.741%
07. Dtsch Med Wochenschr     260.741%
08. Nat Rev Clin Oncol     250.713%
09. JAMA     240.684%
10. Expert Rev Mol Diagn     230.656%
11. Lancet Oncol     220.627%
12. Curr Pharm Des     200.570%
13. Biomark Med     190.542%
14. PLoS One     190.542%
15. Nihon Rinsho     180.513%
16. Clin Transl Sci     180.513%
17. Methods Mol Biol     180.513%
18. J Natl Cancer Inst     170.485%
19. Sci Transl Med     160.456%
20. Conf Proc IEEE Eng Med Biol Soc     160.456%
21. Nat Rev Drug Discov     160.456%
22. Oncology (Williston Park)     160.456%
23. Nat Biotechnol     160.456%
24. Nat Med     160.456%
25. Expert Rev Anticancer Ther     160.456%
26. Mol Oncol     150.428%
27. Discov Med     150.428%
28. Future Oncol     150.428%
29. Clin Chem     130.371%
30. Cancer Discov     130.371%
31. Phys Med Biol     130.371%
32. Hastings Cent Rep     120.342%
33. Science     120.342%
34. Med Phys     120.342%
35. Onkologie     110.314%
36. Hum Mutat     110.314%
37. Cas Lek Cesk     110.314%
38. Semin Oncol     110.314%
39. Proc Natl Acad Sci U S A     110.314%
40. World J Surg     100.285%
41. IEEE Trans Inf Technol Biomed     100.285%
42. Genet Med     100.285%
43. Lakartidningen     100.285%
44. Lancet     100.285%
45. Cancer     90.257%
46. Eur Heart J     90.257%
47. Mol Genet Metab     90.257%
48. J Cardiovasc Transl Res     90.257%
49. Int J Pharm     90.257%
50. Br J Cancer     80.228%

相关疾病研究文献分布

01. cancer     93326.604%

02. tumor     3409.695%
03. tumors     1955.560%
04. lung cancer     1434.078%
05. breast cancer     1424.049%
06. cancers     1424.049%
07. carcinoma     982.794%
08. diabetes     952.709%
09. small cell lung cancer     872.481%
10. non small cell lung cancer     862.452%
11. colorectal cancer     681.939%
12. infection     581.654%
13. tumour     571.625%
14. nsclc     561.597%
15. depression     521.483%
16. cardiovascular disease     511.454%
17. asthma     481.369%
18. type 2 diabetes     441.255%
19. metastasis     431.226%
20. melanoma     411.169%
21. malignancies     401.141%
22. prostate cancer     401.141%
23. hypertension     391.112%
24. hepatitis     391.112%
25. tumours     391.112%
26. arthritis     381.084%
27. heart failure     330.941%
28. metastases     290.827%
29. obesity     280.798%
30. adenocarcinoma     280.798%
31. malignancy     270.770%
32. solid tumors     260.741%
33. ovarian cancer     250.713%
34. diabetes mellitus     240.684%
35. chronic hepatitis     200.570%
36. multiple myeloma     190.542%
37. metastatic colorectal cancer     180.513%
38. pancreatic cancer     180.513%
39. metastatic disease     180.513%
40. gastric cancer     170.485%
41. carcinogenesis     160.456%
42. cardiovascular diseases     160.456%
43. thinking     160.456%
44. addiction     160.456%
45. myocardial infarction     160.456%
46. breast cancers     140.399%
47. anaplastic lymphoma     140.399%
48. tumorigenesis     140.399%
50. acute coronary syndromes     110.314%

 



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