Literature DB >> 8494700

Squamous carcinoma of the head and neck: cured fraction and median survival time as functions of age, sex, histologic type, and node status.

J W Gamel1, A S Jones.   

Abstract

The multivariate lognormal survival model can be used to determine the relationship of prognostic covariates to two important parameters of malignancy. Cured fraction and median survival time among uncured patients. Analysis with this model revealed that cured fraction is primarily a function of histologic type and node status, while median survival time is primarily a function of age and node status. Patient sex was also related to likelihood of cure, but this association was of marginal significance. The symmetric impact of node status on both cured fraction and median survival time is consistent with known biologic principles. The strongly asymmetric relationships of histologic grade to cured fraction and age to survival time suggest, however, that likelihood of cure and survival time may not operate by identical biologic mechanisms.

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Year:  1993        PMID: 8494700      PMCID: PMC1968418          DOI: 10.1038/bjc.1993.196

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  15 in total

1.  Problems in classification and staging of cancer of the larynx.

Authors:  C M NORRIS
Journal:  Ann Otol Rhinol Laryngol       Date:  1963-03       Impact factor: 1.547

2.  [A laryngomicroscope for the early diagnosis and differential diagnosis of cancers in the larynx, pharynx and mouth].

Authors:  O KLEINSASSER
Journal:  Z Laryngol Rhinol Otol       Date:  1961-04

3.  Proportion cured and mean log survival time as functions of tumour size.

Authors:  J W Gamel; I W McLean; S H Rosenberg
Journal:  Stat Med       Date:  1990-08       Impact factor: 2.373

4.  Mathematical model of remission duration in acute myelogenous leukemia.

Authors:  B G Birkhead
Journal:  Cancer Treat Rep       Date:  1985-06

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Authors:  P J Cook; R Doll; S A Fellingham
Journal:  Int J Cancer       Date:  1969-01-15       Impact factor: 7.396

6.  Adjustment of long-term survival rates for deaths due to intercurrent disease.

Authors:  S J Cutler; L M Axtell; D Schottenfeld
Journal:  J Chronic Dis       Date:  1969-12

7.  A method of analysis of a certain class of experiments in carcinogenesis.

Authors:  M C Pike
Journal:  Biometrics       Date:  1966-03       Impact factor: 2.571

8.  Prognosis in laryngeal carcinoma: host factors.

Authors:  P M Stell
Journal:  Clin Otolaryngol Allied Sci       Date:  1990-04

9.  Is breast cancer a curable disease? A study of 14,731 women with breast cancer from the Cancer Registry of Norway.

Authors:  L E Rutqvist; A Wallgren; B Nilsson
Journal:  Cancer       Date:  1984-04-15       Impact factor: 6.860

10.  A mathematical model relating response durations to amount of subclinical resistant disease.

Authors:  W M Gregory; M A Richards; M L Slevin; R L Souhami
Journal:  Cancer Res       Date:  1991-02-15       Impact factor: 12.701

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  1 in total

1.  pEGFR-Tyr 845 expression as prognostic factors in oral squamous cell carcinoma: a tissue-microarray study with clinic-pathological correlations.

Authors:  Gabriella Aquino; Giuseppe Pannone; Angela Santoro; Giuseppina Liguori; Renato Franco; Rosario Serpico; Gianluca Florio; Alfredo De Rosa; Marilena Mattoni; Valentina Cozza; Gerardo Botti; Simona Losito; Francesco Longo; Stefania Staibano; Giovanni Cuda; Lorenzo Lo Muzio; Carolina Sbordone; Pantaleo Bufo; Anna Grimaldi; Michele Caraglia; Marina Di Domenico
Journal:  Cancer Biol Ther       Date:  2012-07-24       Impact factor: 4.742

  1 in total

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