Literature DB >> 19705243

Factors correlated with peritoneal carcinomatosis and survival in patients with gastric cancer treated at a single institution in Brazil.

Marcello F Fanelli1, Milton J B Silva, Tadeu F de Paiva, Ludmilla T D Chinen, Andréa P G Guimarães, Daniel L Gimenes, Edilson D Pinheiro, José A Rinck, Ulisses R Nicolau, Solange M Sanches, Celso A L Melo, Aldo L A Dettino, Marcelo R S Cruz, Leila Maria M P de Melo, Maria N C Formiga, Vladmir C C de Lima.   

Abstract

BACKGROUND: Gastric cancer is the second leading cause of death due to cancer worldwide and is particularly prevalent in Brazil. Promising new therapeutic agents have already shown activity in some gastrointestinal malignancies and their role in gastric cancer will need to be evaluated. Determining the prognostic factors of survival for patients with gastric cancer can help in identifying patients with a worse prognosis after treatment with the current chemotherapeutic regimens.
METHODS: A retrospective chart review of 186 patients diagnosed with gastric cancer and treated at a single institution in Brazil from January 1994 to December 2004 was carried out. Univariate and multivariate analyses were performed to identify patient- and tumor-related characteristics associated with peritoneal metastasis at diagnosis and with overall survival.
RESULTS: Of the 186 patients, 76 were alive at the time of this analysis. The median survival for all patients was 30.1 months. Two independent factors associated with the presence of peritoneal metastasis at diagnosis were identified by multivariate analysis: signet-ring cell type (odds ratio [OR], 10.8; 95% confidence interval [CI], 3.1 to 37.5), and visceral metastasis (OR, 51.8; 95% CI, 12.4 to 215.4). The prognostic factors for poor survival were tumor stage T3 or T4 (hazard ratio [HR], 1.87; 95% CI, 1.09 to 3.22) and visceral metastasis (HR, 4.98; 95% CI, 3.02 to 8.20).
CONCLUSION: Two factors correlated with peritoneal metastasis and two prognostic factors for survival were identified. These findings may contribute to clinical decision-making, treatment tailoring, and the design of future trials.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19705243     DOI: 10.1007/s10147-008-0870-3

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  35 in total

1.  Analysis of survival factors in patients with advanced-stage gastric adenocarcinoma.

Authors:  Süleyman Alici; Serap Kaya; Mustafa Izmirli; Ilyas Tuncer; Ekrem Doğan; Hanefi Ozbek; Hayriye Sayarlioglu
Journal:  Med Sci Monit       Date:  2006-05

2.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

3.  Clinicopathologic characteristics and prognostic factors in 10 783 patients with gastric cancer.

Authors:  Jin-Pok Kim; Joo-Ho Lee; Soo-Jin Kim; Hang-Jong Yu; Han-Kwang Yang
Journal:  Gastric Cancer       Date:  1998-03       Impact factor: 7.370

4.  Prognostic model to predict survival following first-line chemotherapy in patients with metastatic gastric adenocarcinoma.

Authors:  J Lee; T Lim; J E Uhm; K W Park; S H Park; S C Lee; J O Park; Y S Park; H Y Lim; T S Sohn; J H Noh; J S Heo; C K Park; S Kim; W K Kang
Journal:  Ann Oncol       Date:  2007-02-13       Impact factor: 32.976

5.  The natural history of gastric cancer and prognostic factors influencing survival.

Authors:  A Y Bedikian; T T Chen; N Khankhanian; L K Heilbrun; C M McBride; M J McMurtrey; G P Bodey
Journal:  J Clin Oncol       Date:  1984-04       Impact factor: 44.544

6.  Changing state of gastric cancer in Japan. Histologic perspective of the past 76 years.

Authors:  T Nagata; M Ikeda; F Nakayama
Journal:  Am J Surg       Date:  1983-02       Impact factor: 2.565

7.  A predictive model for aggressive non-Hodgkin's lymphoma.

Authors: 
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

8.  Prognostic index score and clinical prediction model of local regional recurrence after mastectomy in breast cancer patients.

Authors:  Skye Hongiun Cheng; Cheng-Fang Horng; Jennifer L Clarke; Mei-Hua Tsou; Stella Y Tsai; Chii-Ming Chen; James J Jian; Mei-Chin Liu; Mike West; Andrew T Huang; Leonard R Prosnitz
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-02-10       Impact factor: 7.038

Review 9.  Prognostic factors for gastric cancer influencing clinical practice.

Authors:  J D Harrison; J W Fielding
Journal:  World J Surg       Date:  1995 Jul-Aug       Impact factor: 3.352

10.  Prognostic factors for survival of patients with advanced gastric cancer treated with cisplatin-based chemotherapy.

Authors:  Jong Gwang Kim; Baek-Yeol Ryoo; Yeon Hee Park; Bong-Seog Kim; Tae-You Kim; Young-Hyuck Im; Yoon-Koo Kang
Journal:  Cancer Chemother Pharmacol       Date:  2007-04-12       Impact factor: 3.333

View more
  1 in total

Review 1.  Integration of Genomic Biology Into Therapeutic Strategies of Gastric Cancer Peritoneal Metastasis.

Authors:  Yong Xiang Gwee; Daryl Kai Ann Chia; Jimmy So; Wim Ceelen; Wei Peng Yong; Patrick Tan; Chin-Ann Johnny Ong; Raghav Sundar
Journal:  J Clin Oncol       Date:  2022-06-01       Impact factor: 50.717

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.