Literature DB >> 28275321

Highlight report: Predicting late metastasis in breast cancer.

Seddik Hammad1, Gada S Osman2, Mohamed Ezzeldien3, Hassan Ahmed4, Ahmed M Kotb5.   

Abstract

Entities:  

Year:  2016        PMID: 28275321      PMCID: PMC5341014          DOI: 10.17179/excli2016-843

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


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Recently, Birte Hellwig and colleagues from the Department of Statistics, TU Dortmund University have published a study to predict late metastasis in breast cancer (Hellwig et al., 2016[8]). In breast cancer survival strongly depends on distant metastasis (Schmidt et al., 2008[17]). Although, the risk of metastasis decreases with time after surgery, metastatic events do still occur more than five years after diagnosis (Karrison et al., 1999[9]; Demicheli et al., 1996[2]; Saphner et al., 1996[16]). Prediction of these late metastatic events is of high relevance. On the one side, the patient's distress would be alleviated if a low probability of late metastatic recurrence could be predicted (Hellwig et al., 2016[8]). On the other hand, high-risk patients could be integrated into extended endocrine therapy studies. In the present study Hellwig et al. (2016[8]) used a sequential validation strategy to identify and validate genes that predict late metastasis: they identified a first set of late genes in a breast cancer cohort (n=409), which was confirmed in an independent validation cohort (n=169) and additionally confirmed in a second validation cohort (n=923). The careful sequential validation that also includes a check for sample annotation errors (Grinberg et al., 2015[5]) is certainly strength of the present study. The authors validated nine late-type genes, whereby the tumor angiogenesis modifier EPN3 was associated with increased and several ribosome-related genes with decreased risk of late breast cancer metastasis. In recent years numerous studies have been performed to predict prognosis of cancer (Hammad, 2013[6]; Hammad et al., 2013[7]; Marchan, 2014[13][12]; Lohr et al., 2015[11]). Often, prognostic factors are associated with proliferation (Schmidt et al., 2008[17], 2012[18]), immune cell infiltration (Lohr et al., 2013[10]; Godoy et al., 2014[4]), inflammation (Mattson et al., 2015[14]; Sicking et al., 2014[19]), tumor cell migration (Stock et al., 2015[21]; Stewart et al., 2012[20]), disturbed circadian control (Cadenas et al., 2014[1]; Ghallab, 2015[3]) or antioxidant status (Milicevic et al., 2014[15]). However, most previous studies did not differentiate, whether prognostic factors predict early or late metastasis. The present study of Hellwig and colleagues underlines that the vast majority of all prognostic genes in breast cancer predicts metastasis only up to approximately three years after surgery. Only a small minority of prognostic genes maintains its significance at later periods. The relevance of the present study is that these 'late genes' have so far not been used for routine diagnosis of breast cancer recurrence risk and may lead to an improvement of the accuracy of already existing systems.
  20 in total

1.  Dormancy of mammary carcinoma after mastectomy.

Authors:  T G Karrison; D J Ferguson; P Meier
Journal:  J Natl Cancer Inst       Date:  1999-01-06       Impact factor: 13.506

2.  Gelsolin Is Associated with Longer Metastasis-free Survival and Reduced Cell Migration in Estrogen Receptor-positive Breast Cancer.

Authors:  Anna-Maria Stock; Franziska Klee; Karolina Edlund; Marianna Grinberg; Seddik Hammad; Rosemarie Marchan; Cristina Cadenas; Bernd Niggemann; Kurt S Zänker; Jörg Rahnenführer; Marcus Schmidt; Jan G Hengstler; Frank Entschladen
Journal:  Anticancer Res       Date:  2015-10       Impact factor: 2.480

3.  Time distribution of the recurrence risk for breast cancer patients undergoing mastectomy: further support about the concept of tumor dormancy.

Authors:  R Demicheli; A Abbattista; R Miceli; P Valagussa; G Bonadonna
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

4.  The prognostic relevance of tumour-infiltrating plasma cells and immunoglobulin kappa C indicates an important role of the humoral immune response in non-small cell lung cancer.

Authors:  Miriam Lohr; Karolina Edlund; Johan Botling; Seddik Hammad; Birte Hellwig; Amnah Othman; Anders Berglund; Mats Lambe; Lars Holmberg; Simon Ekman; Michael Bergqvist; Fredrik Pontén; Cristina Cadenas; Rosemarie Marchan; Jan G Hengstler; Jörg Rahnenführer; Patrick Micke
Journal:  Cancer Lett       Date:  2013-01-28       Impact factor: 8.679

5.  The humoral immune system has a key prognostic impact in node-negative breast cancer.

Authors:  Marcus Schmidt; Daniel Böhm; Christian von Törne; Eric Steiner; Alexander Puhl; Henryk Pilch; Hans-Anton Lehr; Jan G Hengstler; Heinz Kölbl; Mathias Gehrmann
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

6.  Epsin Family Member 3 and Ribosome-Related Genes Are Associated with Late Metastasis in Estrogen Receptor-Positive Breast Cancer and Long-Term Survival in Non-Small Cell Lung Cancer Using a Genome-Wide Identification and Validation Strategy.

Authors:  Birte Hellwig; Katrin Madjar; Karolina Edlund; Rosemarie Marchan; Cristina Cadenas; Anne-Sophie Heimes; Katrin Almstedt; Antje Lebrecht; Isabel Sicking; Marco J Battista; Patrick Micke; Marcus Schmidt; Jan G Hengstler; Jörg Rahnenführer
Journal:  PLoS One       Date:  2016-12-07       Impact factor: 3.240

7.  Mutant p53 protein expression and antioxidant status deficiency in breast cancer.

Authors:  Zorka Milicevic; Jelena Kasapovic; Ljubica Gavrilovic; Zorka Milovanovic; Vladan Bajic; Biljana Spremo-Potparevic
Journal:  EXCLI J       Date:  2014-06-23       Impact factor: 4.068

8.  Loss of circadian clock gene expression is associated with tumor progression in breast cancer.

Authors:  Cristina Cadenas; Leonie van de Sandt; Karolina Edlund; Miriam Lohr; Birte Hellwig; Rosemarie Marchan; Marcus Schmidt; Jörg Rahnenführer; Henrik Oster; Jan G Hengstler
Journal:  Cell Cycle       Date:  2014       Impact factor: 4.534

9.  Highlight report: Role of the circadian clock system in breast cancer.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2015-04-14       Impact factor: 4.068

10.  Interaction of genetic variants towards increased cancer risk.

Authors:  Seddik Hammad
Journal:  EXCLI J       Date:  2013-07-09       Impact factor: 4.068

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  3 in total

1.  Highlight report: Limits of prognostication of non-small cell lung cancer.

Authors:  Alshaimaa Adawy
Journal:  EXCLI J       Date:  2017-05-31       Impact factor: 4.068

2.  Highlight report: Import of fatty acids by metastasizing tumor cells.

Authors:  Tim Brecklinghaus
Journal:  EXCLI J       Date:  2018-11-19       Impact factor: 4.068

3.  Highlight report: Intratumoral metabolomic heterogeneity of breast cancer.

Authors:  Regina Stoeber
Journal:  EXCLI J       Date:  2017-12-22       Impact factor: 4.068

  3 in total

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