Literature DB >> 12237932

The role of extreme phenotype selection studies in the identification of clinically relevant genotypes in cancer research.

Jose L Perez-Gracia1, Maria Gloria Ruiz-Ilundain, Ignacio Garcia-Ribas, Eva Maria Carrasco.   

Abstract

The investigation of genetic alterations that may be related to the prognosis of patients with malignant disease has become a frequently used strategy in recent years. Although some conclusions have been reached in certain studies, the complexity and the multifactorial nature of most neoplastic diseases makes it difficult to identify clinically relevant information, and the results of some studies have been of borderline significance or have been conflicting. In contrast, the identification and the study of patients or families with very characteristic phenotypes have yielded outstanding results in the identification of the genetic characteristics underlying such phenotypes. Although, in most cases, the individuals who are selected for these types of studies are characterized by a negative phenotype (i.e., individuals who are at increased risk for developing a specific disease), a few studies have been directed toward individuals with phenotypes that imply an unusually good prognosis (i.e., individuals who present with a decreased risk for developing specific diseases despite an important exposure to well-known risk factors). Therefore, it seems logical to develop this strategy further as a valid methodology for the study of other diseases, such as cancer. The study of individuals with phenotypes that imply an extremely good prognosis, such as long-term survivors of theoretically incurable malignancies or individuals who seem to be protected against a certain neoplastic disorder despite having a markedly increased risk for its development, may unveil genetic alterations that explain such characteristic phenotypes and may provide potentially useful therapeutic targets against these diseases. Copyright 2002 American Cancer Society.DOI 10.1002/cncr.10877

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Year:  2002        PMID: 12237932     DOI: 10.1002/cncr.10877

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  13 in total

Review 1.  Selection of extreme phenotypes: the role of clinical observation in translational research.

Authors:  José Luis Pérez-Gracia; Alfonso Gúrpide; María Gloria Ruiz-Ilundain; Carlos Alfaro Alegría; Ramon Colomer; Jesús García-Foncillas; Ignacio Melero Bermejo
Journal:  Clin Transl Oncol       Date:  2010-03       Impact factor: 3.405

2.  Determinants of Prostate Cancer Screening Intentions of Young Black Men Aged 18 to 40 Years.

Authors:  Motolani E Ogunsanya; Carolyn M Brown; Folakemi T Odedina; Jamie C Barner; Taiwo Adedipe
Journal:  J Racial Ethn Health Disparities       Date:  2016-11-18

3.  Selecting cases and controls for DNA sequencing studies using family histories of disease.

Authors:  Wonji Kim; Dandi Qiao; Michael H Cho; Soo Heon Kwak; Kyong Soo Park; Edwin K Silverman; Pak Sham; Sungho Won
Journal:  Stat Med       Date:  2017-02-21       Impact factor: 2.373

4.  Treatment and survival outcomes in young men diagnosed with prostate cancer: a Population-based Cohort Study.

Authors:  Daniel W Lin; Michael Porter; Bruce Montgomery
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

5.  The tissue microlocalisation and cellular expression of CD163, VEGF, HLA-DR, iNOS, and MRP 8/14 is correlated to clinical outcome in NSCLC.

Authors:  Chandra M Ohri; Aarti Shikotra; Ruth H Green; David A Waller; Peter Bradding
Journal:  PLoS One       Date:  2011-07-22       Impact factor: 3.240

6.  MiR-99b-5p expression and response to tyrosine kinase inhibitor treatment in clear cell renal cell carcinoma patients.

Authors:  Magdalena Lukamowicz-Rajska; Christiane Mittmann; Michael Prummer; Qing Zhong; Jens Bedke; Jörg Hennenlotter; Arnulf Stenzl; Axel Mischo; Svenja Bihr; Manuela Schmidinger; Ursula Vogl; Iris Blume; Christoph Karlo; Peter Schraml; Holger Moch
Journal:  Oncotarget       Date:  2016-11-29

7.  Knowledge of Prostate Cancer and Screening Among Young Multiethnic Black Men.

Authors:  Motolani E Ogunsanya; Carolyn M Brown; Folakemi T Odedina; Jamie C Barner; Taiwo B Adedipe; Brittany Corbell
Journal:  Am J Mens Health       Date:  2017-01-31

8.  Identification of TNF-alpha and MMP-9 as potential baseline predictive serum markers of sunitinib activity in patients with renal cell carcinoma using a human cytokine array.

Authors:  J L Perez-Gracia; C Prior; F Guillén-Grima; V Segura; A Gonzalez; A Panizo; I Melero; E Grande-Pulido; A Gurpide; I Gil-Bazo; A Calvo
Journal:  Br J Cancer       Date:  2009-11-10       Impact factor: 7.640

9.  Identification of tissue microRNAs predictive of sunitinib activity in patients with metastatic renal cell carcinoma.

Authors:  Celia Prior; Jose Luis Perez-Gracia; Jesus Garcia-Donas; Cristina Rodriguez-Antona; Elizabeth Guruceaga; Emilio Esteban; Cristina Suarez; Daniel Castellano; Aránzazu González del Alba; Maria Dolores Lozano; Joan Carles; Miguel Angel Climent; Jose Angel Arranz; Enrique Gallardo; Javier Puente; Joaquim Bellmunt; Alfonso Gurpide; Jose Maria Lopez-Picazo; Alvaro Gonzalez Hernandez; Begoña Mellado; Esther Martínez; Fernando Moreno; Albert Font; Alfonso Calvo
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

10.  Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco-induced lung cancer.

Authors:  Juan Pablo Fusco; Guillermo Pita; María José Pajares; Maria Pilar Andueza; Ana Patiño-García; Juan P de-Torres; Alfonso Gurpide; Javier Zulueta; Rosario Alonso; Nuria Alvarez; Ruben Pio; Ignacio Melero; Miguel F Sanmamed; Maria Rodriguez Ruiz; Ignacio Gil-Bazo; Jose María Lopez-Picazo; Ciro Casanova; Rebeca Baz Davila; Antonio Agudo; Maria Dolores Lozano; Alvaro Gonzalez; Nuria Sala; Eva Ardanaz; Javier Benitez; Luis Montuenga; Anna Gonzalez-Neira; Jose Luis Perez-Gracia
Journal:  Cancer Med       Date:  2018-05-15       Impact factor: 4.452

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