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Table 3 Microarray study characteristics

From: Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort

Study

Institution

Outcome

Microarray platform

Evaluated genes

Number of samplesa

Total time at risk, years

Median time at risk, years

Number deaths/recurrences

Blenkiron, et al. [22]

Nottingham City Hospital (Nottingham, UK)

All-cause mortality

Illumina (San Diego, CA, USA)

PGC, FRS3, C6orf49, TRFP, BYSL, USP49, CCND3

128

1,198.0

11.1

45

Chin, et al. [23]

University of California at San Francisco

All-cause mortality

Affymetrix U133A (Santa Clara, CA, USA)

PGC, FRS3, C6orf49, TRFP, BYSL, CCND3

129

822.6

6.0

45

Miller, et al. [24]

Uppsala, Sweden

All-cause mortality

Affymetrix U133A

PGC, FRS3, C6orf49, BYSL, CCND3

234

1,927.5

10.2

54

Sørlie, et al. [25]

Stanford University (Stanford, CA, USA)

All-cause mortality

cDNA

BYSL, USP49, CCND3

76

227.6

2.5

30

Sotiriou, et al. [26]

John Radcliffe (Oxford, UK)

Disease recurrence

Affymetrix U133A

PGC, FRS3, TRFP, BYSL, CCND3

94

709.9

7.3

24b

van de Vijver, et al. [27]

The Netherlands Cancer Institute (Amsterdam)

All-cause mortality

Agilent Technologies, Inc. (Santa Clara, CA, USA)

PGC, FRS3, C6orf49, BYSL, USP49, CCND3

295

2,319.8

7.2

79

Wang, et al. [28]

Erasmus (Rotterdam, The Netherlands)

Disease recurrence

Affymetrix U133A

PGC, C6orf49, FRS3, USP49, BYSL, CCND3

285

1,843.1

7.2

107b

Total

    

1,241

9,048.4

7.4

384

  1. aWith endpoint data. bDisease recurrence.