Top prognostic signatures in global breast cancer.

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis

Gang Chen
Mingwei Yu
Jianqiao Cao
Huishan Zhao
Yuanping Dai
Yizi Cong
Guangdong Qiao

January 2021

Breast cancer (BC) is a malignancy with high incidence among women in the world. This study aims to ...

Identification of a robust gene signature that predicts breast cancer outcome in independent data sets

Estep Anne LH
Chen Yunn-Yi
Hwang E Shelley
Moore Dan H
DeVries Sandy
Blaveri Ekaterina
Korkola James E
Chew Karen L
Jensen Ronald H
Waldman Frederic M

April 2007

Abstract Background Breast cancer is a heterogeneous disease, presenting with a wide range of histol...

Gene-Expression Signatures in Breast Cancer

Bernards, R.A.
Helmbold, P.
Haerting, J.
Kölbl, H.
Kopans, D.B.
Ransohoff, D.F.
Kunkler, I.H.
Vijver, M.J. van de
Veer, L.J. van 't
He, Y.D.

January 2003

The study by van de Vijver et al. is of considerable interest with respect to the biology of breast...

Top prognostic signatures in HER2+.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in Non-angiogenic overall.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in ER+/HER2 low proliferation.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in ER+/HER2− high proliferation.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.

Abraham, Gad
Kowalczyk, Adam
Loi, Sherene
Haviv, Izhak
Zobel, Justin

January 2010

Different microarray studies have compiled gene lists for predicting outcomes of a range of treatmen...

Top gene sets in breast cancer analysis.

Brian D. Bennett (136440)
Qing Xiong (136442)
Sayan Mukherjee (43870)
Terrence S. Furey (136444)

September 2012

Gene sets with the largest multi-task common weights in the breast cancer analysis, along with th...

Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context

Abraham, G
Kowalczyk, A
Loi, S
Haviv, I
Zobel, J

May 2010

BACKGROUND: Different microarray studies have compiled gene lists for predicting outcomes of a range...

Integrative Analysis of Survival-Associated Gene Sets in Breast Cancer

Varn, Frederick S
Ung, Matthew H
Lou, Shao Ke
Cheng, Chao

March 2015

Patient gene expression information has recently become a clinical feature used to evaluate breast c...

Predicting risk of breast cancer recurrence using gene-expression profiling.

Ignatiadis, Michalis
Desmedt, Christine

January 2007

The molecular profiling of breast tumors using the powerful microarray technology has uncovered the ...

Genome-wide screen identifies a novel prognostic signature for breast cancer survival.

Mao, Xuan Y
Lee, Matthew J
Zhu, Jeffrey
Zhu, Carissa
Law, Sindy M
Snijders, Antoine M

February 2017

Large genomic datasets in combination with clinical data can be used as an unbiased tool to identify...

A gene sets approach for identifying prognostic gene signatures for outcome prediction

Kim Yong Sung
Kim Seon-Young

April 2008

Abstract Background Gene expression profiling is a promising approach to better estimate patient pro...

Significance Analysis of Prognostic Signatures

Beck, Andrew H
Knoblauch, Nicholas W.
Hefti, Marco
Kaplan, Jennifer
Schnitt, Stuart Jay
Culhane, Aedin
Schroeder, Markus S.
Risch, Thomas
Quackenbush, John
Haibe-Kains, Benjamin

October 2016

A major goal in translational cancer research is to identify biological signatures driving cancer pr...

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis

Gang Chen
Mingwei Yu
Jianqiao Cao
Huishan Zhao
Yuanping Dai
Yizi Cong
Guangdong Qiao

January 2021

Breast cancer (BC) is a malignancy with high incidence among women in the world. This study aims to ...

Identification of a robust gene signature that predicts breast cancer outcome in independent data sets

Estep Anne LH
Chen Yunn-Yi
Hwang E Shelley
Moore Dan H
DeVries Sandy
Blaveri Ekaterina
Korkola James E
Chew Karen L
Jensen Ronald H
Waldman Frederic M

April 2007

Abstract Background Breast cancer is a heterogeneous disease, presenting with a wide range of histol...

Gene-Expression Signatures in Breast Cancer

Bernards, R.A.
Helmbold, P.
Haerting, J.
Kölbl, H.
Kopans, D.B.
Ransohoff, D.F.
Kunkler, I.H.
Vijver, M.J. van de
Veer, L.J. van 't
He, Y.D.

January 2003

The study by van de Vijver et al. is of considerable interest with respect to the biology of breast...

Top prognostic signatures in HER2+.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in Non-angiogenic overall.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in ER+/HER2 low proliferation.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Top prognostic signatures in ER+/HER2− high proliferation.

Andrew H. Beck (254596)
Nicholas W. Knoblauch (276487)
Marco M. Hefti (276488)
Jennifer Kaplan (276489)
Stuart J. Schnitt (276490)
Aedin C. Culhane (276491)
Markus S. Schroeder (276492)
Thomas Risch (183849)
John Quackenbush (1213)
Benjamin Haibe-Kains (183845)

January 2013

Gene sets in the analysis come from the Broad institute's MSigDB. These gene sets can be further ...

Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.

Abraham, Gad
Kowalczyk, Adam
Loi, Sherene
Haviv, Izhak
Zobel, Justin

January 2010

Different microarray studies have compiled gene lists for predicting outcomes of a range of treatmen...

Top gene sets in breast cancer analysis.

Brian D. Bennett (136440)
Qing Xiong (136442)
Sayan Mukherjee (43870)
Terrence S. Furey (136444)

September 2012

Gene sets with the largest multi-task common weights in the breast cancer analysis, along with th...

Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context

Abraham, G
Kowalczyk, A
Loi, S
Haviv, I
Zobel, J

May 2010

BACKGROUND: Different microarray studies have compiled gene lists for predicting outcomes of a range...

Integrative Analysis of Survival-Associated Gene Sets in Breast Cancer

Varn, Frederick S
Ung, Matthew H
Lou, Shao Ke
Cheng, Chao

March 2015

Patient gene expression information has recently become a clinical feature used to evaluate breast c...

Predicting risk of breast cancer recurrence using gene-expression profiling.

Ignatiadis, Michalis
Desmedt, Christine

January 2007

The molecular profiling of breast tumors using the powerful microarray technology has uncovered the ...

Genome-wide screen identifies a novel prognostic signature for breast cancer survival.

Mao, Xuan Y
Lee, Matthew J
Zhu, Jeffrey
Zhu, Carissa
Law, Sindy M
Snijders, Antoine M

February 2017

Large genomic datasets in combination with clinical data can be used as an unbiased tool to identify...

A gene sets approach for identifying prognostic gene signatures for outcome prediction

Kim Yong Sung
Kim Seon-Young

April 2008

Abstract Background Gene expression profiling is a promising approach to better estimate patient pro...

Significance Analysis of Prognostic Signatures

Beck, Andrew H
Knoblauch, Nicholas W.
Hefti, Marco
Kaplan, Jennifer
Schnitt, Stuart Jay
Culhane, Aedin
Schroeder, Markus S.
Risch, Thomas
Quackenbush, John
Haibe-Kains, Benjamin

October 2016

A major goal in translational cancer research is to identify biological signatures driving cancer pr...

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis

Gang Chen
Mingwei Yu
Jianqiao Cao
Huishan Zhao
Yuanping Dai
Yizi Cong
Guangdong Qiao

January 2021

Breast cancer (BC) is a malignancy with high incidence among women in the world. This study aims to ...

Identification of a robust gene signature that predicts breast cancer outcome in independent data sets

Estep Anne LH
Chen Yunn-Yi
Hwang E Shelley
Moore Dan H
DeVries Sandy
Blaveri Ekaterina
Korkola James E
Chew Karen L
Jensen Ronald H
Waldman Frederic M

April 2007

Abstract Background Breast cancer is a heterogeneous disease, presenting with a wide range of histol...

Gene-Expression Signatures in Breast Cancer

Bernards, R.A.
Helmbold, P.
Haerting, J.
Kölbl, H.
Kopans, D.B.
Ransohoff, D.F.
Kunkler, I.H.
Vijver, M.J. van de
Veer, L.J. van 't
He, Y.D.

January 2003

The study by van de Vijver et al. is of considerable interest with respect to the biology of breast...

Top prognostic signatures in global breast cancer.

Abstract

Extracted data

Top prognostic signatures in global breast cancer.

Abstract

Extracted data

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