双(4-硝基苯基)胂酸 | 7795-89-3

• 分子结构分类: 有机化合物 - 苯类化合物 - 苯和取代衍生物
• 中文名称: 双(4-硝基苯基)胂酸
• 英文名称: bis-(4-nitro-phenyl)-arsinic acid
• 英文别名: Bis-(4-nitro-phenyl)-arsinsaeure；Bis(4-nitrophenyl)arsinic acid
• CAS: 7795-89-3
• 化学式: C₁₂H₉AsN₂O₆
• 分子量: 352.135
• InChiKey: OFIWPVOLQSHYPD-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  0.48
• 重原子数：
  21
• 可旋转键数：
  2
• 环数：
  2.0
• sp3杂化的碳原子比例：
  0.0
• 拓扑面积：
  129
• 氢给体数：
  1
• 氢受体数：
  6

反应信息

• 作为反应物：
  描述：

  双(4-硝基苯基)胂酸 在 palladium on activated charcoal 作用下， 生成 bis-(4-amino-phenyl)-arsinic acid
  参考文献：
  名称：

  Markov model-based estimation of individual survival probability for medullary thyroid cancer patients

  摘要：

  The relatively benign, but occasionally rapidly fatal clinical course of medullary thyroid cancer (MTC) has raised the need for individual survival probability estimation. A retrospective study on 91 MTC clinical case histories with a mean follow-up of 6 years indicated prevalences of local, regional and distant residual tumor on primary care completion of 23%, 54% and 54%, respectively. Local, regional and distant relapses during follow-up occurred in 8%, 23% and 26% of the patients, with a cause-specific death in 26% of the cases. Prognostic factors statistically significantly influencing the cause-specific survival were selected by uni- and multivariate analysis. A Markov method-based model was developed for the estimation of individual time-dependent local, regional and distant relapse-free and cause-specific survival probability functions, with parameters numerically determined via a maximum likelihood procedure. These parameters include relative risk factors related to prognosticators, a residual or recurrent local/regional/distant tumor, and combinations of these entities. In multivariate studies, the patient s age and gender, the genetic basis of the dis-ease, lymph node involvement, the existence of a general symptom (diarrhoea) at presentation, and the dosage of external irradiation proved to be prognosticators. The cause-specific survival function of the study population indicated mean 5, 10 and 15-year survival probabilities of 69%, 62% and 58%. Conclusion: Survival probabilities can be predicted for extrastudy cases provided that the same laws and principles govern the clinical course of these cases and those comprising the study. For individual survival probability estimation, a Pascal program (MEDUPRED) was written and is available on the home page of the National Institute of Oncology, Budapest (www.oncol.hu).

  DOI：

  10.1007/bf03033717
• 作为产物：
  描述：

  4-硝基偶氮苯 在 trisodium arsenite 、 硫酸 、 亚硫酸 作用下， 生成 双(4-硝基苯基)胂酸
  参考文献：
  名称：

  DE250264

  摘要：

  公开号：

文献信息

• Takahashi, Yakugaku Zasshi/Journal of the Pharmaceutical Society of Japan, 1952, vol. 72, p. 533,536
  作者：Takahashi

  DOI：——

  日期：——
• DE250264
  申请人：——

  公开号：——

  公开（公告）日：——
• DE254345
  申请人：——

  公开号：——

  公开（公告）日：——
• Bart, Justus Liebigs Annalen der Chemie, 1922, vol. 429, p. 100
  作者：Bart

  DOI：——

  日期：——
• Markov model-based estimation of individual survival probability for medullary thyroid cancer patients
  作者：Olga Ésik、Gábor Tusnády、Lajos Trón、András Boér、Zoltán Szentirmay、István Szabolcs、Károly Rácz、Erzsébet Lengyel、Judit Székely、Miklós Kásler

  DOI：10.1007/bf03033717

  日期：2002.6

  The relatively benign, but occasionally rapidly fatal clinical course of medullary thyroid cancer (MTC) has raised the need for individual survival probability estimation. A retrospective study on 91 MTC clinical case histories with a mean follow-up of 6 years indicated prevalences of local, regional and distant residual tumor on primary care completion of 23%, 54% and 54%, respectively. Local, regional and distant relapses during follow-up occurred in 8%, 23% and 26% of the patients, with a cause-specific death in 26% of the cases. Prognostic factors statistically significantly influencing the cause-specific survival were selected by uni- and multivariate analysis. A Markov method-based model was developed for the estimation of individual time-dependent local, regional and distant relapse-free and cause-specific survival probability functions, with parameters numerically determined via a maximum likelihood procedure. These parameters include relative risk factors related to prognosticators, a residual or recurrent local/regional/distant tumor, and combinations of these entities. In multivariate studies, the patient s age and gender, the genetic basis of the dis-ease, lymph node involvement, the existence of a general symptom (diarrhoea) at presentation, and the dosage of external irradiation proved to be prognosticators. The cause-specific survival function of the study population indicated mean 5, 10 and 15-year survival probabilities of 69%, 62% and 58%. Conclusion: Survival probabilities can be predicted for extrastudy cases provided that the same laws and principles govern the clinical course of these cases and those comprising the study. For individual survival probability estimation, a Pascal program (MEDUPRED) was written and is available on the home page of the National Institute of Oncology, Budapest (www.oncol.hu).