Additional file 4: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Additional file 2: Figure S1. of An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer

Carlo Maley (3309672)
Konrad Koelble (3554393)
Rachael Natrajan (265328)
Athena Aktipis (3554390)
Yinyin Yuan (225403)

September 2015

Supplementary Figures and Tables. This file contains the following figures and tables: Validation of...

Additional file 2: of Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients

Ang Zheng (6701324)
Lin Zhang (8926)
Xinyue Song (4476121)
Yuying Wang (532738)
Minjie Wei (154099)
Feng Jin (303721)

May 2019

Table S1. Univariable and multivariable analysis of overall survival in breast cancer patients. Tabl...

Additional file 4: of The long-term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours

Arian Lundberg (6413765)
Linda LindstrĂśm (6413777)
Jingmei Li (254314)
J. Harrell (6413768)
Eva Darai-Ramqvist (24171)
Emmanouil Sifakis (6413771)
Theodoros Foukakis (837602)
Charles Perou (3530138)
Kamila Czene (77258)
Jonas Bergh (23551)
Nicholas Tobin (4848271)

March 2019

Figure S4. Survival analysis (KaplanâMeier estimates) with breast cancer-specific survival (BCSS) ...

Additional file 1: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Nathan Ungerleider (5598377)
Sonia Rao (5809130)
Ashkan Shahbandi (5809133)
Douglas Yee (312426)
Tianhua Niu (11988)
Wesley Frey (5809142)
James Jackson (39216)

October 2018

Table S1. Multivariate Cox proportional hazards model analysis for Fig.Â 1b-h. (PDF 401 kb

Additional file 2: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Nathan Ungerleider (5598377)
Sonia Rao (5809130)
Ashkan Shahbandi (5809133)
Douglas Yee (312426)
Tianhua Niu (11988)
Wesley Frey (5809142)
James Jackson (39216)

October 2018

Figure S1 Overall survival curves by PAM50 classification (for A-F) all patients from METABRIC cohor...

Additional file 2: of Germline breast cancer susceptibility gene mutations and breast cancer outcomes

Yong Wang (12837)
Jhih-Wei Jian (149485)
Chen-Fang Hung (3339318)
Hung-Pin Peng (123676)
Chi-Fan Yang (252960)
Hung-Chun Cheng (4996370)
An-Suei Yang (123675)

March 2018

Table S2. Effects of BRCA germline mutation and other prognostic factors (all covariates) on clinica...

Additional file 5: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The P-value of the Cox univariate regression analysis using different gene sets. (A) The P-values of...

Additional file 4: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The comparison of mutation rates for top mutated genes and 14 pathway genes. The mutation rates for ...

Additional file 4: Table S4A. of p53, cathepsin D, Bcl-2 are joint prognostic indicators of breast cancer metastatic spreading

Emanuela Guerra (118189)
Alessia Cimadamore (3479537)
Pasquale Simeone (563424)
Giovanna Vacca (3479543)
Rossano Lattanzio (118191)
Gerardo Botti (68589)
Valentina Gatta (139984)
Marco DâAurora (3479540)
Barbara Simionati (3479534)
Mauro Piantelli (118205)
Saverio Alberti (118206)

August 2016

p53 structure and main mutation sites. Table S4B. Ha-Ras structure and main mutation sites. Table S4...

Additional file 3: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The KaplanâMeier estimator using top 35 mutated genes. The KaplanâMeier curves using 35 mutated ...

Additional file 1: of Retrospective analysis of the impact of anthracycline dose reduction and chemotherapy delays on the outcomes of early breast cancer molecular subtypes

Sigita Liutkauskiene (5126411)
Saulius Grizas (5126405)
Kristina Jureniene (314956)
Jorune Suipyte (5126414)
Akvile Statnickaite (5126408)
Elona Juozaityte (63971)

April 2018

Table S1. Cox proportional hazards model on 5-year survival when impact of tumor size, molecular sub...

Additional file 2: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The KaplanâMeier estimator for an independent patient dataset. The survival curve base on 64 of 11...

Additional file 1: of Germline breast cancer susceptibility gene mutations and breast cancer outcomes

Yong Wang (12837)
Jhih-Wei Jian (149485)
Chen-Fang Hung (3339318)
Hung-Pin Peng (123676)
Chi-Fan Yang (252960)
Hung-Chun Cheng (4996370)
An-Suei Yang (123675)

March 2018

Figure S1. Kaplan-Meier estimates of disease-free survival (A), freedom from breast cancer recurrenc...

Additional file 1: of Prognostic relevance of caspase 8 -652 6N InsDel and Asp302His polymorphisms for breast cancer

J. Kuhlmann (3576038)
A. Bankfalvi (3576035)
K. Schmid (2449798)
R. Callies (3576032)
R. Kimmig (3576041)
P. Wimberger (3576029)
W. Siffert (3576047)
H. Bachmann (3576044)

August 2016

Multivariate analysis including Estrogen and Her2 receptor status. This additional file comprises 3 ...

Additional file 4: of Impact of pre-diagnostic triglycerides and HDL-cholesterol on breast cancer recurrence and survival by breast cancer subtypes

Trygve LofterĂ¸d (5396534)
Elin Mortensen (5396498)
Hawa Nalwoga (845585)
Tom Wilsgaard (321883)
Hanne Frydenberg (3542120)
Terje Risberg (25586)
Anne Eggen (4100746)
Anne McTiernan (3542132)
Sura Aziz (655431)
Erik Wist (3542126)
Andreas Stensvold (3528713)
Jon Reitan (5396495)
Lars Akslen (4406518)
Inger Thune (315574)

June 2018

Table S2. Multivariable adjusted Cox proportional hazard ratios (HRs) for overall mortality and brea...

Additional file 2: Figure S1. of An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer

Carlo Maley (3309672)
Konrad Koelble (3554393)
Rachael Natrajan (265328)
Athena Aktipis (3554390)
Yinyin Yuan (225403)

September 2015

Supplementary Figures and Tables. This file contains the following figures and tables: Validation of...

Additional file 2: of Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients

Ang Zheng (6701324)
Lin Zhang (8926)
Xinyue Song (4476121)
Yuying Wang (532738)
Minjie Wei (154099)
Feng Jin (303721)

May 2019

Table S1. Univariable and multivariable analysis of overall survival in breast cancer patients. Tabl...

Additional file 4: of The long-term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours

Arian Lundberg (6413765)
Linda LindstrĂśm (6413777)
Jingmei Li (254314)
J. Harrell (6413768)
Eva Darai-Ramqvist (24171)
Emmanouil Sifakis (6413771)
Theodoros Foukakis (837602)
Charles Perou (3530138)
Kamila Czene (77258)
Jonas Bergh (23551)
Nicholas Tobin (4848271)

March 2019

Figure S4. Survival analysis (KaplanâMeier estimates) with breast cancer-specific survival (BCSS) ...

Additional file 1: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Nathan Ungerleider (5598377)
Sonia Rao (5809130)
Ashkan Shahbandi (5809133)
Douglas Yee (312426)
Tianhua Niu (11988)
Wesley Frey (5809142)
James Jackson (39216)

October 2018

Table S1. Multivariate Cox proportional hazards model analysis for Fig.Â 1b-h. (PDF 401 kb

Additional file 2: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Nathan Ungerleider (5598377)
Sonia Rao (5809130)
Ashkan Shahbandi (5809133)
Douglas Yee (312426)
Tianhua Niu (11988)
Wesley Frey (5809142)
James Jackson (39216)

October 2018

Figure S1 Overall survival curves by PAM50 classification (for A-F) all patients from METABRIC cohor...

Additional file 2: of Germline breast cancer susceptibility gene mutations and breast cancer outcomes

Yong Wang (12837)
Jhih-Wei Jian (149485)
Chen-Fang Hung (3339318)
Hung-Pin Peng (123676)
Chi-Fan Yang (252960)
Hung-Chun Cheng (4996370)
An-Suei Yang (123675)

March 2018

Table S2. Effects of BRCA germline mutation and other prognostic factors (all covariates) on clinica...

Additional file 5: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The P-value of the Cox univariate regression analysis using different gene sets. (A) The P-values of...

Additional file 4: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The comparison of mutation rates for top mutated genes and 14 pathway genes. The mutation rates for ...

Additional file 4: Table S4A. of p53, cathepsin D, Bcl-2 are joint prognostic indicators of breast cancer metastatic spreading

Emanuela Guerra (118189)
Alessia Cimadamore (3479537)
Pasquale Simeone (563424)
Giovanna Vacca (3479543)
Rossano Lattanzio (118191)
Gerardo Botti (68589)
Valentina Gatta (139984)
Marco DâAurora (3479540)
Barbara Simionati (3479534)
Mauro Piantelli (118205)
Saverio Alberti (118206)

August 2016

p53 structure and main mutation sites. Table S4B. Ha-Ras structure and main mutation sites. Table S4...

Additional file 3: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The KaplanâMeier estimator using top 35 mutated genes. The KaplanâMeier curves using 35 mutated ...

Additional file 1: of Retrospective analysis of the impact of anthracycline dose reduction and chemotherapy delays on the outcomes of early breast cancer molecular subtypes

Sigita Liutkauskiene (5126411)
Saulius Grizas (5126405)
Kristina Jureniene (314956)
Jorune Suipyte (5126414)
Akvile Statnickaite (5126408)
Elona Juozaityte (63971)

April 2018

Table S1. Cox proportional hazards model on 5-year survival when impact of tumor size, molecular sub...

Additional file 2: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang (119570)
William Yang (3523358)
Dan Li (106345)
Jack Yang (1972336)
Renchu Guan (633863)
Mary Yang (4724700)

November 2018

The KaplanâMeier estimator for an independent patient dataset. The survival curve base on 64 of 11...

Additional file 1: of Germline breast cancer susceptibility gene mutations and breast cancer outcomes

Yong Wang (12837)
Jhih-Wei Jian (149485)
Chen-Fang Hung (3339318)
Hung-Pin Peng (123676)
Chi-Fan Yang (252960)
Hung-Chun Cheng (4996370)
An-Suei Yang (123675)

March 2018

Figure S1. Kaplan-Meier estimates of disease-free survival (A), freedom from breast cancer recurrenc...

Additional file 1: of Prognostic relevance of caspase 8 -652 6N InsDel and Asp302His polymorphisms for breast cancer

J. Kuhlmann (3576038)
A. Bankfalvi (3576035)
K. Schmid (2449798)
R. Callies (3576032)
R. Kimmig (3576041)
P. Wimberger (3576029)
W. Siffert (3576047)
H. Bachmann (3576044)

August 2016

Multivariate analysis including Estrogen and Her2 receptor status. This additional file comprises 3 ...

Additional file 4: of Impact of pre-diagnostic triglycerides and HDL-cholesterol on breast cancer recurrence and survival by breast cancer subtypes

Trygve LofterĂ¸d (5396534)
Elin Mortensen (5396498)
Hawa Nalwoga (845585)
Tom Wilsgaard (321883)
Hanne Frydenberg (3542120)
Terje Risberg (25586)
Anne Eggen (4100746)
Anne McTiernan (3542132)
Sura Aziz (655431)
Erik Wist (3542126)
Andreas Stensvold (3528713)
Jon Reitan (5396495)
Lars Akslen (4406518)
Inger Thune (315574)

June 2018

Table S2. Multivariable adjusted Cox proportional hazard ratios (HRs) for overall mortality and brea...

Additional file 2: Figure S1. of An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer

Carlo Maley (3309672)
Konrad Koelble (3554393)
Rachael Natrajan (265328)
Athena Aktipis (3554390)
Yinyin Yuan (225403)

September 2015

Supplementary Figures and Tables. This file contains the following figures and tables: Validation of...

Additional file 2: of Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients

Ang Zheng (6701324)
Lin Zhang (8926)
Xinyue Song (4476121)
Yuying Wang (532738)
Minjie Wei (154099)
Feng Jin (303721)

May 2019

Table S1. Univariable and multivariable analysis of overall survival in breast cancer patients. Tabl...

Additional file 4: of The long-term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours

Arian Lundberg (6413765)
Linda LindstrĂśm (6413777)
Jingmei Li (254314)
J. Harrell (6413768)
Eva Darai-Ramqvist (24171)
Emmanouil Sifakis (6413771)
Theodoros Foukakis (837602)
Charles Perou (3530138)
Kamila Czene (77258)
Jonas Bergh (23551)
Nicholas Tobin (4848271)

March 2019

Figure S4. Survival analysis (KaplanâMeier estimates) with breast cancer-specific survival (BCSS) ...

Additional file 4: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Abstract

Extracted data

Additional file 4: of Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment

Abstract

Extracted data

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