BACKGROUND: Unique metastatic patterns cited in the literature often arise from anecdotal clinical observations and autopsy reports. The authors analyzed clinical data from a large number of patients with histologically confirmed, distant-stage adenocarcinoma to evaluate metastatic patterns. METHODS: Tumor registry data were collected between 1994-1996 on 11 primary tumor sites and 15 metastatic sites from 4399 patients. The primary and metastatic sites were cross-tabulated in various ways to identify patterns, and the authors developed algorithms by using multinomial logistic regression analysis to predict the locations of primary tumors based on metastatic patterns. RESULTS: Three primary tumors had single, dominant metastatic sites: ovary to abdominal cavity (91%), prostate to bone (90%), and pancreas to liver (85%). The liver was the dominant metastatic site for gastrointestinal (GI) primary tumors (71% of patients), whereas bone and lung metastases were noted most frequently in non-GI primary tumors (43% and 29%, respectively). In a study of combinations of liver, abdominal cavity, and bone metastases, 86% of prostate primary tumors had only bone metastases, 80% of ovarian primary tumors had only abdominal cavity metastases, and 74% of pancreas primary tumors had only liver metastases. A single organ was the dominant source of metastases in 7 sites: axillary lymph node from the breast (97%), intestinal lymph node from the colon (84%), thoracic lymph node from the lung (66%), brain from the lung (64%), mediastinal lymph node from the lung (62%), supraclavicular lymph node from the breast (51%), and adrenal gland from the lung (51%). CONCLUSIONS: The algorithms that the authors developed achieved a cross-validated accuracy of 64% and an accuracy of 64% on an 1851-patient independent test set, compared with 9% accuracy when a random classifier was used. Copyright 2006 American Cancer Society.
BACKGROUND: Unique metastatic patterns cited in the literature often arise from anecdotal clinical observations and autopsy reports. The authors analyzed clinical data from a large number of patients with histologically confirmed, distant-stage adenocarcinoma to evaluate metastatic patterns. METHODS:Tumor registry data were collected between 1994-1996 on 11 primary tumor sites and 15 metastatic sites from 4399 patients. The primary and metastatic sites were cross-tabulated in various ways to identify patterns, and the authors developed algorithms by using multinomial logistic regression analysis to predict the locations of primary tumors based on metastatic patterns. RESULTS: Three primary tumors had single, dominant metastatic sites: ovary to abdominal cavity (91%), prostate to bone (90%), and pancreas to liver (85%). The liver was the dominant metastatic site for gastrointestinal (GI) primary tumors (71% of patients), whereas bone and lung metastases were noted most frequently in non-GI primary tumors (43% and 29%, respectively). In a study of combinations of liver, abdominal cavity, and bone metastases, 86% of prostate primary tumors had only bone metastases, 80% of ovarian primary tumors had only abdominal cavity metastases, and 74% of pancreas primary tumors had only liver metastases. A single organ was the dominant source of metastases in 7 sites: axillary lymph node from the breast (97%), intestinal lymph node from the colon (84%), thoracic lymph node from the lung (66%), brain from the lung (64%), mediastinal lymph node from the lung (62%), supraclavicular lymph node from the breast (51%), and adrenal gland from the lung (51%). CONCLUSIONS: The algorithms that the authors developed achieved a cross-validated accuracy of 64% and an accuracy of 64% on an 1851-patient independent test set, compared with 9% accuracy when a random classifier was used. Copyright 2006 American Cancer Society.
Authors: Véronique Ouellet; Kerstin Tiedemann; Anna Mourskaia; Jenna E Fong; Danh Tran-Thanh; Eitan Amir; Mark Clemons; Bernard Perbal; Svetlana V Komarova; Peter M Siegel Journal: Am J Pathol Date: 2011-05 Impact factor: 4.307
Authors: Avi Schroeder; Daniel A Heller; Monte M Winslow; James E Dahlman; George W Pratt; Robert Langer; Tyler Jacks; Daniel G Anderson Journal: Nat Rev Cancer Date: 2011-12-23 Impact factor: 60.716
Authors: Sébastien Tabariès; Fanny Dupuy; Zhifeng Dong; Anie Monast; Matthew G Annis; Jonathan Spicer; Lorenzo E Ferri; Atilla Omeroglu; Mark Basik; Eitan Amir; Mark Clemons; Peter M Siegel Journal: Mol Cell Biol Date: 2012-05-29 Impact factor: 4.272
Authors: Sadia Tasleem; Jarlath C Bolger; Michael E Kelly; Michael R Boland; Dermot Bowden; Karl J Sweeney; Carmel Malone Journal: Ir J Med Sci Date: 2018-02-01 Impact factor: 1.568