Literature DB >> 21354785

A new, simple and objective prognostic score for phase I cancer patients.

L M Füssenich1, I M E Desar, M E W J Peters, S Teerenstra, W T A van der Graaf, J N H Timmer-Bonte, C M L van Herpen.   

Abstract

AIM: To ensure safety and optimise efficacy, careful patient selection for participation in oncologic phase I trials is warranted. Therefore, we did a validation study on existing phase I prognostic scores, and subsequently aimed to make an even more simple prognostic score. PATIENTS AND METHODS: We retrospectively analysed characteristics and clinical outcome of 122 patients who participated in eight different phase I studies in our centre. A literature search was performed for existing prognostic scores which were validated in our dataset. Additionally, a simple prognostic score able to predict overall survival (OS), progression free survival (PFS), 90-d mortality and duration of participation was developed.
RESULTS: In our population the median OS was 31 (range 4-241) weeks, median PFS was 10 (range 3-119) weeks. Thirteen patients (11%) died within 90-d and median participation duration was 11 (range 1-119) weeks. Two out of five existing prognostic scores could be validated in this dataset for OS. Based on multivariate analyses a new, objective and simple score, consisting of LDH, sodium and haemoglobin, was tested. High score (2-3 points) compared to low score (0-1) significantly predicted OS (HR 1.878, p = 0.003), PFS (HR 1.156, p = 0.038), participation duration (HR 1.858, p = 0.004) and 90-d mortality (OR 4.200, p = 0.022).
CONCLUSION: We propose a new prognostic model, using LDH, sodium and haemoglobin, helpful to predict OS, PFS, participation duration and 90-d mortality. Larger multicentre studies are needed to validate this score.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21354785     DOI: 10.1016/j.ejca.2010.12.028

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  11 in total

1.  Survival outcome and prognostic model of patients with colorectal cancer on phase 1 trials.

Authors:  Audrey E Kam; Gopichand Pendurti; Umang H Shah; Mohammad H Ghalib; Imran Chaudhary; Jennifer Chuy; Lakshmi Rajdev; Andreas Kaubisch; Santiago Aparo; Ioannis Mantzaris; Sanjay Goel
Journal:  Invest New Drugs       Date:  2018-10-12       Impact factor: 3.850

2.  Impact of preoperative hemoglobin and CRP levels on cancer-specific survival in patients undergoing radical cystectomy for transitional cell carcinoma of the bladder: results of a single-center study.

Authors:  T Grimm; A Buchner; B Schneevoigt; A Kretschmer; M Apfelbeck; M Grabbert; J F Jokisch; C G Stief; A Karl
Journal:  World J Urol       Date:  2015-09-16       Impact factor: 4.226

3.  Phase 1 clinical trials in end-stage cancer: patient understanding of trial premises and motives for participation.

Authors:  Tove Godskesen; Peter Nygren; Karin Nordin; Mats Hansson; Ulrik Kihlbom
Journal:  Support Care Cancer       Date:  2013-07-18       Impact factor: 3.603

4.  Pretreatment Blood Parameters Predict Efficacy from Immunotherapy Agents in Early Phase Clinical Trials.

Authors:  Carmen Criscitiello; Antonio Marra; Stefania Morganti; Paola Zagami; Giulia Viale; Angela Esposito; Giuseppe Curigliano
Journal:  Oncologist       Date:  2020-09-18

5.  Increased pretreatment levels of serum LDH and ALP as poor prognostic factors for nasopharyngeal carcinoma.

Authors:  Guo Li; Jin Gao; Ya-Lan Tao; Bing-Qing Xu; Zi-Wei Tu; Zhi-Gang Liu; Mu-Sheng Zeng; Yun-Fei Xia
Journal:  Chin J Cancer       Date:  2012-01-09

6.  The neutrophil-lymphocyte ratio and its utilisation for the management of cancer patients in early clinical trials.

Authors:  R Kumar; E Geuna; V Michalarea; M Guardascione; U Naumann; D Lorente; S B Kaye; J S de Bono
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

7.  Clinical Predictors of Early Trial Discontinuation for Patients Participating in Phase I Clinical Trials in Oncology.

Authors:  Joeri A J Douma; Laurien M Buffart; Ramy Sedhom; Mariette Labots; Willemien C Menke-van der Houven van Oordt; Mikkjal Skardhamar; Anthony De Felice; Esther Lee; Divya Dharmaraj; Nilofer S Azad; Michael A Carducci; Henk M W Verheul
Journal:  Cancers (Basel)       Date:  2021-05-11       Impact factor: 6.639

8.  Identifying Malignant Pleural Effusion by A Cancer Ratio (Serum LDH: Pleural Fluid ADA Ratio).

Authors:  Akash Verma; John Abisheganaden; R W Light
Journal:  Lung       Date:  2015-12-17       Impact factor: 2.584

9.  Pleural LDH as a prognostic marker in adenocarcinoma lung with malignant pleural effusion.

Authors:  Akash Verma; Chee Kiang Phua; Wen Yuan Sim; Reyes Elmer Algoso; Kuan Sen Tee; Sennen J W Lew; Albert Y H Lim; Soon Keng Goh; Dessmon Y H Tai; Ai Ching Kor; Benjamin Ho; John Abisheganaden
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

10.  Survival in Early Phase Immuno-Oncology Trials: Development and Validation of a Prognostic Index.

Authors:  Daphne Day; Christina Guo; Yada Kanjanapan; Ben Tran; Anna Spreafico; Anthony M Joshua; Lisa Wang; Albiruni R Abdul Razak; Natasha B Leighl; Aaron R Hansen; Marcus O Butler; Lillian L Siu; Jayesh Desai; Philippe L Bedard
Journal:  JNCI Cancer Spectr       Date:  2019-09-19
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