Nomogram for Predicting the Overall Survival and Cancer-Specific Survival of Patients with Occult Breast Cancer: A Population-Based Study

DOI: https://doi.org/10.21203/rs.3.rs-415600/v1

Abstract

Background: Occult breast cancer is a rare breast tumor, whose prognostic nomogram model has not been established. Thus, we aim to develop and validate a nomogram for evaluating the overall survival (OS) and cancer-specific survival (CSS) of patients with occult breast cancer.

Methods: Between 2004 and 2015, 704 eligible occult breast cancer patients were screened from the Surveillance, Epidemiology, and End Results (SEER) database using specific inclusion and exclusion criteria and then included in the surveillance. They were randomly divided into a training cohort (n = 494) and a validation cohort (N = 210). Univariate and multivariate Cox analyses were performed to explore independent prognostic factors and establish two survival-related nomograms. Area under the curve (AUC), consistency index (C index), internal and external validation calibration curve, decision curve analysis (DCA), Kaplan-Meier analysis, and subgroup analysis were used to evaluate the nomogram.

Results: A total of seven variables were considered to be independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS): age, chemotherapy, radiotherapy, Progesterone receptor (PR) status, N stage, number of lymph node examinations, and number of positive lymph nodes. In the training cohort, the OS nomogram-predicted AUC for three, five, and ten years were 0.792, 0.775, and 0.783, respectively, while those of the CSS nomogram were 0.807, 0.817, and 0.812, respectively. The calibration chart showed excellent agreement between the actual and the nomogram-predicted survival rates in both the training and validation cohorts. The C-index values ​​of the OS nomogram in the training and validation cohorts were 0.762 and 0.782, respectively, while those ​​of the CSS nomogram were 0.786 and 0.816, respectively. DCA and subgroup analysis proved the usefulness of nomograms.

Conclusion: The developed nomogram provided a comprehensive visual model of the risk of each prognostic factor. It can be conveniently used as a personalized prediction tool for the prognosis of occult breast cancer patients.

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Tables

Table 1. Patients’ detailed general information (n = 704)

 

Characteristic

 

Training Cohort         (n = 494)

 

 

Validation Cohort                 (n = 210)

 

 

N

%

N

%

Age(years)

25-54

55-74

>74

 

179

261

54

 

36.2

52.8

10.9

 

82

105

23

 

39.0

50.0

11.0

Race

White

Black

Other

Unknown

 

386

65

40

3

 

78.1

13.2

8.1

0.6

 

175

24

11

0

 

83.3

11.4

5.2

0

Laterality

Left

Right

Bilateral

Other

 

245

208

1

40

 

49.6

42.1

0.2

8.1

 

103

88

2

17

 

49.0

41.9

1.0

8.1

Marital status

Married

Not married b

Other

 

266

213

15

 

53.8

43.1

3.0

 

129

77

4

 

61.4

36.7

1.9

Grade

I and II

III and IV

Unknown

 

22

119

353

 

4.5

24.1

71.5

 

11

42

157

 

5.2

20.0

74.8

Nodal stage

N1

N2

N3

 

311

85

98

 

63.0

17.2

19.8

 

127

31

52

 

60.5

14.8

24.8

Estrogen receptor status

Positive

Negative

Others

 

252

193

49

 

51.0

39.1

9.9

 

106

83

21

 

50.5

39.5

10.0

Progesterone receptor status

Positive

Negative

Others

 

168

266

60

 

34.0

53.8

12.1

 

66

120

24

 

31.4

57.1

11.4

HER-2 status

Positive

Negative

Others

 

73

158

263

 

14.8

32.0

53.2

 

30

65

115

 

14.3

31.0

54.8

Surgery

Lumpectomy

Mastectomy

None

Unknown

 

65

148

274

7

 

13.2

30.0

55.5

1.4

 

21

74

113

2

 

10.0

35.2

53.8

1.0

Radiation

Yes

No

 

265

229

 

53.6

46.4

 

102

108

 

48.6

51.4

Chemotherapy

Yes

No/Unknown

 

397

97

 

80.4

19.6

 

161

49

 

76.7

23.3

No. of examined lymph nodes

0

1-3

4-9

10-

Unknown

 

 

12

72

62

271

77

 

 

2.4

14.6

12.6

54.9

15.6

 

 

6

28

26

123

27

 

 

2.9

13.3

12.4

58.6

12.9

No. of positive lymph nodes

0

1-3

4-9

10-

Unknown

 

 

13

240

76

53

112

 

 

2.6

48.6

15.4

10.7

22.7

 

 

3

108

29

32

38

 

 

1.4

51.4

13.8

15.2

18.1

 

Table 2. Survival analyses of overall survival for occult breast cancer patients in training cohort

Variables

 

Univariate

 

multivariate

 

 

P

HR(95%CI)

P

Age(years)

25-54

55-74

>74

<.001

 

Reference

1.564(.934-2.620)

3.392 (1.837-6.260)

<.001

 

.089

<.001

Race

White

Black

Other

Unknown

.480

 

 

 

 

 

Laterality

Left

Right

Bilateral

Other

.069

 

 

 

 

Marital status

Married

Not married b

Other

.049

 

Reference

1.186 (.775-1.816)

1.971 (.552-7.035)

.484

 

.432

.296

Grade

I and II

III and IV

Unknown

.322

 

 

 

 

Nodal stage

N1

N2

N3

<.001

 

Reference

1.054(.373-2.976)

2.444 (1.235-4.839)

.023

 

.921

.010

Estrogen receptor status

Positive

Negative

Others

<.001

 

0.660 (0.381-1.143)

Reference

2.434 (0.300-19.772)

.210

.138

 

.405

Progesterone receptor status

Positive

Negative

Others

.002

 

0.359 (0.182-0.709)

Reference

0.295 (.039-2.239)

.008

.003

 

.238

HER-2 status

Positive

Negative

Others

.248

 

 

 

 

Surgery

Lumpectomy

Mastectomy

None

Unknown

.234

 

 

 

 

Radiation

Yes

No

.003

 

0.525 (0.327-0.841)

Reference

.007

.007

 

Chemotherapy

Yes

No/Unknown

<.001

 

0.519(0.318-0.848)

Reference

.009

.009

No. of examined lymph nodes

0

1-3

4-9

10-

Unknown

<.001

 

 

Reference

2.709(0.649-11.307)

1.276(0.260-6.269)

0.760 (0.185-3.116)

0.947(0.332-2.702)

.018

 

 

.172

.764

.703

.918

No. of positive lymph nodes

0

1-3

4-9

10-

Unknown

<.001

 

 

Reference

2319.823(0-7.402e+40)

8129.127(0-2.601e+41)

6231.362(0-1.990e+41)

7272.320(0-2.329e+41)

.090

 

 

.860

.838

.843

.840

 

Table 3. Survival analyses of cancer-specific survival for occult breast cancer patients in training cohort

Variables

 

Univariate

 

multivariate

 

 

P

HR(95%CI)

P

Age(years)

25-54

55-74

>74

<.001

 

Reference

1.194(0.680-2.097)

2.519 (1.260-5.037)

.021

 

.537

.009

Race

White

Black

Other

Unknown

.400

 

 

 

 

 

Laterality

Left

Right

Bilateral

Other

.093

 

 

 

 

Marital status

Married

Not married b

Other

.092

 

 

 

Grade

I and II

III and IV

Unknown

.356

 

 

 

 

Nodal stage

N1

N2

N3

<.001

 

Reference

1.589(0.477-5.290)

3.118 (1.490-6.522)

.010

 

.451

.003

Estrogen receptor status

Positive

Negative

Others

<.001

 

0.572 (0.291-1.122)

Reference

4.206e+03(0-3.401e+44)

.263

.104

 

.862

Progesterone receptor status

Positive

Negative

Others

.008

 

0.428 (0.193-0.951)

Reference

0 (0-1.616e+39)

.263

.104

 

.862

HER-2 status

Positive

Negative

Others

.404

 

 

 

 

Surgery

Lumpectomy

Mastectomy

None

Unknown

.267

 

 

 

 

Radiation

Yes

No

.013

 

0.445 (0.256-0.773)

Reference

.004

.004

 

Chemotherapy

Yes

No/Unknown

.009

 

0.642(0.356-1.157)

Reference

.140

.140

No. of examined lymph nodes

0

1-3

4-9

10-

Unknown

<.001

 

Reference

2.994(0.600-14.926)

2.177(0.383-12.363)

0.505(0.100-2.548)

1.152(0.381-3.482)

.006

 

.181

.380

.408

.802

No. of positive lymph nodes

0

1-3

4-9

10-

Unknown

<.001

 

Reference

2.246e+03(0-3.193e+48)

8.235e+03(0-1.175e+49)

1.395e+04(0-1.985e+49)

9.836e+03(0-1.403e+49)

.026

 

.884

.865

.857

.862