Additional file 2: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Additional file 2: of Gene expression profiles in genome instability-based classes of colorectal cancer

Vincenza Barresi (1476067)
Giacomo Cinnirella (6101021)
Giovanna Valenti (330762)
Giorgia Spampinato (6101024)
NicolĂ˛ Musso (6101033)
Sergio Castorina (6101030)
Daniele Condorelli (1476064)

December 2018

Figure. S1 Top 30 differentially expressed genes between CRC groups and normal tissue (this number w...

Additional file 5: of Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

Jorge Martinez-Romero (6075746)
Santiago Bueno-Fortes (6075749)
Manuel MartĂn-Merino (6075752)
Ana Ramirez de Molina (369349)
Javier De Las Rivas (19407)

December 2018

Figure S1. Survival multivariate analysis of an independent set of 482 samples of CRC patients carri...

Additional file 2: Table S2. of Prognostic impact of programed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor infiltrating lymphocytes in colorectal cancer

Yaqi Li (2936265)
Lei Liang (326409)
Weixing Dai (1849669)
Guoxiang Cai (409145)
Ye Xu (29869)
Xinxiang Li (623576)
Qingguo Li (35908)
Sanjun Cai (122578)

August 2016

Univariate and multivariate Cox proportional hazards analysis of OS and DFS for patients with CRC in...

Additional file 7: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S7. Predictors of Colorectal Cancer, 2/3 algorithm. * p < 0.05 considered statistically signif...

Additional file 8: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S8. Sensitivity and specificity for Sept9 after age adjusted combinations of positivity algori...

Additional file 1: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S1. Association between variables in cohort. *Two-sided Fisher’s exact test, all numbers are p...

Additional file 4: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S4. Predictors of CRC in univariate regression, 1/3 algorithm. ¤ p-values for Sept9 2/3 algori...

Additional file 6: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S6. Effect modificators of Sept9 positivity in CRC. ¤ p-values for Sept9 2/3 algorithm similar...

Additional file 3: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S3. Positivity of subjects with NED stratified by plasma volume and age. * Two-sided Fisher’s ...

Additional file 1: of The role of mSEPT9 in screening, diagnosis, and recurrence monitoring of colorectal cancer

Jie Sun (74648)
Fei Fei (794241)
Mingqing Zhang (6523748)
Yuwei Li (1612018)
Xipeng Zhang (767297)
Siwei Zhu (400113)
Shiwu Zhang (85788)

May 2019

The clinical significances about CEA, CA19â9 and CA724. The clinical significances of CEA, CA19â...

Additional file 3: of Serum leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan: a novel colorectal cancer marker

Eiji Shinozaki (3626978)
Kazuhiro Tanabe (2924784)
Takashi Akiyoshi (4056697)
Tomohiro Tsuchida (4401178)
Yuko Miyazaki (4263388)
Nozomi Kojima (2924781)
Masahiro Igarashi (1480678)
Masashi Ueno (4056694)
Mitsukuni Suenaga (3626984)
Nobuyuki Mizunuma (3098073)
Kensei Yamaguchi (3626987)
Konosuke Nakayama (5091047)
Sadayo Iijima (2924775)
Toshiharu Yamaguchi (5091050)

April 2018

Figure S2. OPLS-DA analysis using 136 glycopeptides extracted by t-test. (a) A score plot for 80 CRC...

Additional file 2: of Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

Jorge Martinez-Romero (6075746)
Santiago Bueno-Fortes (6075749)
Manuel Martín-Merino (6075755)
Ana Ramirez de Molina (369349)
Javier De Las Rivas (19407)

December 2018

Table S2. Top-100 best survival marker genes for colorectal cancer (CRC) that are up-regulated when ...

Additional file 2: of Changes in gut microbiota and plasma inflammatory factors across the stages of colorectal tumorigenesis: a case-control study

Yongzhen Zhang (1616953)
Xin Yu (124814)
Enda Yu (509489)
Na Wang (193263)
Quancai Cai (5700539)
Qun Shuai (5700542)
Feihu Yan (5308388)
Lufang Jiang (3574781)
Hexing Wang (379773)
Jianxiang Liu (780520)
Yue Chen (73753)
Zhaoshen Li (292224)
Qingwu Jiang (227556)

August 2018

Table S1. The mean relative abundance, statistical parameter and trend analysis of CRC-associated mi...

Additional file 4: of STAT3 exacerbates survival of cancer stem-like tumorspheres in EGFR-positive colorectal cancers: RNAseq analysis and therapeutic screening

Chun-Chia Cheng (505698)
Po-Nien Liao (5581313)
Ai-Sheng Ho (4336036)
Ken-Hong Lim (4336030)
Jungshan Chang (4336027)
Ying-Wen Su (222745)
Caleb Chen (5581316)
Ya-Wen Chiang (447547)
Bi-Ling Yang (703959)
Huan-Chau Lin (4336033)
Yu-Cheng Chang (487238)
Chun-Chao Chang (382443)
Yi-Fang Chang (555723)

August 2018

Figure S3. Higher levels of PDGFA are associated with overall survival in patients with CRC in the d...

Additional file 1: of Reconsideration of the optimal minimum lymph node count for young colon cancer patients: a population-based study

Xu Guan (827163)
Yuliuming Wang (5331425)
Hanqing Hu (5331422)
Zhixun Zhao (827165)
Zheng Jiang (282949)
Zheng Liu (28397)
Yinggang Chen (492235)
Guiyu Wang (492234)
Xishan Wang (282956)

June 2018

Table S1. Univariate and multivariate analysis for CC patients aged <â40. (DOCX 18Â kb

Additional file 2: of Gene expression profiles in genome instability-based classes of colorectal cancer

Vincenza Barresi (1476067)
Giacomo Cinnirella (6101021)
Giovanna Valenti (330762)
Giorgia Spampinato (6101024)
NicolĂ˛ Musso (6101033)
Sergio Castorina (6101030)
Daniele Condorelli (1476064)

December 2018

Figure. S1 Top 30 differentially expressed genes between CRC groups and normal tissue (this number w...

Additional file 5: of Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

Jorge Martinez-Romero (6075746)
Santiago Bueno-Fortes (6075749)
Manuel MartĂn-Merino (6075752)
Ana Ramirez de Molina (369349)
Javier De Las Rivas (19407)

December 2018

Figure S1. Survival multivariate analysis of an independent set of 482 samples of CRC patients carri...

Additional file 2: Table S2. of Prognostic impact of programed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor infiltrating lymphocytes in colorectal cancer

Yaqi Li (2936265)
Lei Liang (326409)
Weixing Dai (1849669)
Guoxiang Cai (409145)
Ye Xu (29869)
Xinxiang Li (623576)
Qingguo Li (35908)
Sanjun Cai (122578)

August 2016

Univariate and multivariate Cox proportional hazards analysis of OS and DFS for patients with CRC in...

Additional file 7: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S7. Predictors of Colorectal Cancer, 2/3 algorithm. * p < 0.05 considered statistically signif...

Additional file 8: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S8. Sensitivity and specificity for Sept9 after age adjusted combinations of positivity algori...

Additional file 1: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S1. Association between variables in cohort. *Two-sided Fisher’s exact test, all numbers are p...

Additional file 4: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S4. Predictors of CRC in univariate regression, 1/3 algorithm. ¤ p-values for Sept9 2/3 algori...

Additional file 6: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S6. Effect modificators of Sept9 positivity in CRC. ¤ p-values for Sept9 2/3 algorithm similar...

Additional file 3: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Mai-Britt Ørntoft (3453626)
Hans Nielsen (3453629)
Torben Ørntoft (3453632)
Claus Andersen (3453623)

October 2015

Table S3. Positivity of subjects with NED stratified by plasma volume and age. * Two-sided Fisher’s ...

Additional file 1: of The role of mSEPT9 in screening, diagnosis, and recurrence monitoring of colorectal cancer

Jie Sun (74648)
Fei Fei (794241)
Mingqing Zhang (6523748)
Yuwei Li (1612018)
Xipeng Zhang (767297)
Siwei Zhu (400113)
Shiwu Zhang (85788)

May 2019

The clinical significances about CEA, CA19â9 and CA724. The clinical significances of CEA, CA19â...

Additional file 3: of Serum leucine-rich alpha-2-glycoprotein-1 with fucosylated triantennary N-glycan: a novel colorectal cancer marker

Eiji Shinozaki (3626978)
Kazuhiro Tanabe (2924784)
Takashi Akiyoshi (4056697)
Tomohiro Tsuchida (4401178)
Yuko Miyazaki (4263388)
Nozomi Kojima (2924781)
Masahiro Igarashi (1480678)
Masashi Ueno (4056694)
Mitsukuni Suenaga (3626984)
Nobuyuki Mizunuma (3098073)
Kensei Yamaguchi (3626987)
Konosuke Nakayama (5091047)
Sadayo Iijima (2924775)
Toshiharu Yamaguchi (5091050)

April 2018

Figure S2. OPLS-DA analysis using 136 glycopeptides extracted by t-test. (a) A score plot for 80 CRC...

Additional file 2: of Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

Jorge Martinez-Romero (6075746)
Santiago Bueno-Fortes (6075749)
Manuel Martín-Merino (6075755)
Ana Ramirez de Molina (369349)
Javier De Las Rivas (19407)

December 2018

Table S2. Top-100 best survival marker genes for colorectal cancer (CRC) that are up-regulated when ...

Additional file 2: of Changes in gut microbiota and plasma inflammatory factors across the stages of colorectal tumorigenesis: a case-control study

Yongzhen Zhang (1616953)
Xin Yu (124814)
Enda Yu (509489)
Na Wang (193263)
Quancai Cai (5700539)
Qun Shuai (5700542)
Feihu Yan (5308388)
Lufang Jiang (3574781)
Hexing Wang (379773)
Jianxiang Liu (780520)
Yue Chen (73753)
Zhaoshen Li (292224)
Qingwu Jiang (227556)

August 2018

Table S1. The mean relative abundance, statistical parameter and trend analysis of CRC-associated mi...

Additional file 4: of STAT3 exacerbates survival of cancer stem-like tumorspheres in EGFR-positive colorectal cancers: RNAseq analysis and therapeutic screening

Chun-Chia Cheng (505698)
Po-Nien Liao (5581313)
Ai-Sheng Ho (4336036)
Ken-Hong Lim (4336030)
Jungshan Chang (4336027)
Ying-Wen Su (222745)
Caleb Chen (5581316)
Ya-Wen Chiang (447547)
Bi-Ling Yang (703959)
Huan-Chau Lin (4336033)
Yu-Cheng Chang (487238)
Chun-Chao Chang (382443)
Yi-Fang Chang (555723)

August 2018

Figure S3. Higher levels of PDGFA are associated with overall survival in patients with CRC in the d...

Additional file 1: of Reconsideration of the optimal minimum lymph node count for young colon cancer patients: a population-based study

Xu Guan (827163)
Yuliuming Wang (5331425)
Hanqing Hu (5331422)
Zhixun Zhao (827165)
Zheng Jiang (282949)
Zheng Liu (28397)
Yinggang Chen (492235)
Guiyu Wang (492234)
Xishan Wang (282956)

June 2018

Table S1. Univariate and multivariate analysis for CC patients aged <â40. (DOCX 18Â kb

Additional file 2: of Gene expression profiles in genome instability-based classes of colorectal cancer

Vincenza Barresi (1476067)
Giacomo Cinnirella (6101021)
Giovanna Valenti (330762)
Giorgia Spampinato (6101024)
NicolĂ˛ Musso (6101033)
Sergio Castorina (6101030)
Daniele Condorelli (1476064)

December 2018

Figure. S1 Top 30 differentially expressed genes between CRC groups and normal tissue (this number w...

Additional file 5: of Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

Jorge Martinez-Romero (6075746)
Santiago Bueno-Fortes (6075749)
Manuel MartĂn-Merino (6075752)
Ana Ramirez de Molina (369349)
Javier De Las Rivas (19407)

December 2018

Figure S1. Survival multivariate analysis of an independent set of 482 samples of CRC patients carri...

Additional file 2: Table S2. of Prognostic impact of programed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor infiltrating lymphocytes in colorectal cancer

Yaqi Li (2936265)
Lei Liang (326409)
Weixing Dai (1849669)
Guoxiang Cai (409145)
Ye Xu (29869)
Xinxiang Li (623576)
Qingguo Li (35908)
Sanjun Cai (122578)

August 2016

Univariate and multivariate Cox proportional hazards analysis of OS and DFS for patients with CRC in...

Additional file 2: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Abstract

Extracted data

Additional file 2: of Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

Abstract

Extracted data

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