Open Access
29.01.2021 | Original Scientific Report
Molecular Lymph Node Staging with One-Step Nucleic Acid Amplification and its Prognostic Value for Patients with Colon Cancer: The First Follow-up Study
verfasst von:
Benjamin Weixler, Sofia Teixeira da Cunha, René Warschkow, Nicolas Demartines, Ulrich Güller, Andreas Zettl, Alexander Vahrmeijer, Cornelis J. H. van de Velde, Carsten T. Viehl, Markus Zuber
Molecular lymph node workup with one-step nucleic acid amplification (OSNA) is a validated diagnostic adjunct in breast cancer and also appealing for colon cancer (CC) staging. This study, for the first time, evaluates the prognostic value of OSNA in CC.
Patients and methods
The retrospective study includes patients with stage I-III CC from three centres. Lymph nodes were investigated with haematoxylin and eosin (H&E) and with OSNA, applying a 250 copies/μL threshold of CK19 mRNA. Diagnostic value of H&E and OSNA was assessed by survival analysis, sensitivity, specificity and time-dependent receiver operating characteristic curves.
Results
Eighty-seven patients were included [mean follow-up 53.4 months (± 24.9)]. Disease recurrence occurred in 16.1% after 19.8 months (± 12.3). Staging with H&E independently predicted worse cancer-specific survival in multivariate analysis (HR = 10.77, 95% CI 1.07–108.7, p = 0.019) but not OSNA (HR = 3.08, 95% CI 0.26–36.07, p = 0.197). With cancer-specific death or recurrence as gold standard, H&E sensitivity was 46.7% (95% CI 21.3–73.4%) and specificity 84.7% (95% CI 74.3–92.1%). OSNA sensitivity and specificity were 60.0% (95% CI 32.3–83.7%) and 75.0% (95% CI 63.4–84.5%), respectively.
Conclusions
In patients with CC, OSNA does not add relevant prognostic value to conventional H&E contrasting findings in other cancers. Further studies should assess lower thresholds for OSNA (< 250 copies/μL).
Hinweise
The results of this study have been presented in part at the 106st Annual Congress of the Swiss Society of Surgery, Berne, May 15th–17th, 2019.
Benjamin Weixler MD and Sofia Teixeira da Cunha contributed equally to this article.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Introduction
In the last decades, improvements in surgical techniques as well as in pathological assessment and adjuvant therapy could significantly enhance 5-year survival rates of patients with colon cancer. Positive lymph node (LN) status (stage III) is still one of the most important prognostic factors determining the allocation of adjuvant chemotherapy [1]. Most interestingly, there exists no real gold standard for reliable identification of negative and positive LN [2]. The standard histopathological LN workup consists of a haematoxylin and eosin (H&E) staining of one to two sections of each retrieved LN. Such conventional histopathological workup carries the substantial risk of “understaging” due to undetected micro- or macrometastases (i.e. tissue allocation bias). A minimum of 12 analysed LN is therefore recommended by most national cancer organizations [3, 4]. However, the agreement to yield a minimum of 12 LN was proposed over two decades ago and up to date clear evidence to justify this threshold is still missing [5, 6]. Furthermore, determination of a certain number of LN cannot compensate for a missing “gold standard” and the inherent tissue allocation bias. Understaging may therefore substantially contribute to the high recurrence rate (20–25%) of patients with negative LN status [7]. It was demonstrated that multilevel LN sectioning combined with immunohistochemistry can improve the detection rate of small nodal tumour infiltrates (i.e. isolated tumour cells and micrometastases), though it is a costly and protracted process [8]. Considering the possible tissue allocation bias as well as the cost and time intensive multilevel sectioning, molecular methods like one-step nucleic acid amplification (OSNA) are appealing since they do not require microscopic examination, and are standardized and fast. For OSNA, cytokeratin 19 (CK19) mRNA is amplified based on reverse transcription-loop-mediated isothermal amplification [9]. CK19 is one of the most widely used immunohistochemical marker to identify epithelial cells and is highly suggestive for the presence of colon cancer metastases when detected in a respective LN [10‐12].
Up to date, only a few studies evaluated the clinical performance of OSNA in colon cancer. These studies compared OSNA with conventional pathological workup and immunohistochemistry techniques showing a high concordance level between the investigated methods [12‐16]. However, the prognostic value of OSNA and thus its suitability as a “gold standard” to distinguish between LN positive and LN negative patients with colon cancer is unknown as respective data are entirely missing. The purpose of the here presented study was to evaluate the prognostic value of OSNA in patients with stage I-III colon cancer.
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Patients and methods
For this retrospective study, patients with Union for International Cancer Control stage I, II and III colon cancer were identified from three centres—Cantonal Hospital Olten, Switzerland, Lausanne University Hospital, Switzerland, and Leiden University Medical Centre, Netherlands—that previously participated in three published cohort studies [13‐15], except the patients recruited at the Lausanne University Hospital. Medical ethical approval was obtained from the local ethical committees, and the obtainment of patient consent is mentioned both in detail in the three previous publications [13‐15]. The study was performed in accordance with the Declaration of Helsinki.
Included patients were over 18 years old with histological proven colon carcinoma, localized above the peritoneal fold, and submitted to in vivo (Olten [13], Lausanne) or submitted to ex vivo (Olten [14], Leiden [15]) sentinel LN mapping.
Recruitment occurred between January 2007 and December 2013. Follow-up data were retrieved from the patients’ medical files and treating general practitioners until October 2017.
Exclusion criteria were carcinoma in situ, stage IV colon cancer or preoperative neoadjuvant treatment.
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The study protocols of the previous cohort studies were in detail mentioned elsewhere [13‐15]. In brief, sentinel LN mapping with isosulfan blue (Cantonal Hospital Olten and Lausanne University Hospital) or indocyanine green (Leiden University Medical Centre) was performed during standard oncological colon resection. Forty (22 [13] and 18 [14]) patients from Cantonal Hospital Olten, 21 from Lausanne University Hospital and 26 from Leiden University Medical Centre [15] were included. All harvested LN over 3 mm in greatest dimension [13] or a short axis ≥ 10 mm [15] was cut into 4 slices labelled from a to d. Blocks a and c were stored for later OSNA analysis. Blocks b and d were fixed in neutral buffered formaldehyde, processed in paraffin blocks and allocated to conventional standard H&E staining, multilevel H&E staining and immunohistochemistry (IHC) for CK19 as described elsewhere [13, 15].
In 18 of 40 patients from Cantonal Hospital Olten—the second study [14] – the harvested LN was processed cutting a middle section of 1 mm dedicated to standard H&E. The remaining parts of the LN were investigated by OSNA. Since the main focus of the present study was to evaluate the prognostic value of OSNA analysis, all patients from the three centres were included, despite the slightly different LN processing protocol.
For OSNA analysis, a CK19 mRNA copy threshold of 250 copies/μL was used. A CK19 mRNA copy number of < 250 copies/μL was considered negative for metastatic LN involvement, and a copy number ≥ 250 copies /μL was considered positive.
This was defined by previous studies using the logarithmic midpoint between the maximum value of the CK19 mRNA copy number in LN from pN0 patients and minus 2 standard deviations (SD) [12] or minus 3 SD [17] value from the average of CK19 mRNA copy number in histopathologically positive LN.
These studies also defined the micrometastases threshold between 250 and 4999 CK 19 mRNA copies/ μL. LN with 5000 or more mRNA copies/ μL was considered macrometastases. [12, 17].
As currently no “gold standard” for the definition of “real” negative and positive LN exists, we used the event of cancer-related death and cancer-related recurrence as proof of real node positivity and patients without disease recurrence or cancer-related death during follow-up were indexed to real negative LN.
The 30-day mortality and overall mortality were documented as well as the cause of death. Tumour recurrences were defined by radiological, endoscopic or histological evidence.
Statistical analysis
Statistical analysis was performed using the R environment (http://www.rproject.org). Two-sided p values < 0.05 were considered statistically significant. Continuous data were expressed as the mean ± standard deviation (SD). Confidence intervals (CIs) of binominal proportions were estimated as exact binomial 95% CI. After descriptive analysis of patient and tumour data for centre effects, the impact of detection of metastatic LN by H&E and OSNA on cancer specific survival (CSS), cancer-specific and recurrence-free survival (CSRFS) and disease-free survival (DFS) was assessed by Cox regression analysis with and without risk adjustment for patient and tumour data. Additionally, backward variable selection procedures from the full Cox regression model based on the Akaike's information criterion (AIC) were performed. The proportional hazard assumption was tested by scaled Schoenfeld residuals and by inspection of the hazard ratio (HR) plots. CI for hazard ratios (HR) were estimated with the Wald method. Significance tests were performed as likelihood ratio tests [18]. Then, sensitivity, specificity and diagnostic odds ratio for detection of metastatic LN by H&E and OSNA based on cancer-specific deaths or recurrence as the gold standard for true LN positivity were estimated. To further assess the diagnostic accuracy of H&E and OSNA and the potential influence of their cut-offs (≥ 250 copies /μL for OSNA and one positive LN for H&E), time-dependent receiver operating characteristic (ROC) curves were estimated from the censored survival data [19]. The area under the ROC curve (AUC) was computed using the nonparametric trapezoidal method [20]. Cut-off values were estimated by maximizing the Youden index.
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Results
Patient and tumour characteristics
A total of 87 patients with stage I-III colon cancer were included in this retrospective study. Patient and tumour characteristics did not differ relevantly between the three centres (Table 1).
Table 1
Patient and tumour characteristics comparing the three centres
Characteristic
Total (n = 87)
CHO (n = 40)
LUH (n = 21)
LUMC (n = 26)
p
n
%
n
%
n
%
n
%
Gender
Female
38
43.7
20
50.0
8
38.1
10
38.5
0.548A
Male
49
56.3
20
50.0
13
61.9
16
61.5
Age
Mean ± SD
71.1 ± 11.7
73.4 ± 10.3
71.4 ± 12.3
67.2 ± 12.7
0.168A
Range
38.5–94.4
47.5–92.8
48.1–94.4
38.5–87.8
Age group
< 60
13
14.9
4
10.0
3
14.3
6
23.1
0.78 B
60–69
25
28.7
10
25.0
7
33.3
8
30.8
70–79
27
31.0
14
35.0
6
28.6
7
26.9
> 79
22
25.3
12
30.0
5
23.8
5
19.2
Tumour localization
Ascending colon
40
46.0
14
35.0
11
52.4
15
57.7
0.483C
Transverse colon
9
10.3
5
12.5
2
9.5
2
7.7
Descending colon
10
11.5
4
10.0
2
9.5
4
15.4
Sigmoid colon
28
32.2
17
42.5
6
28.6
5
19.2
Staging UICC H&E
I
24
27.6
13
32.5
4
19.0
7
26.9
0.592A
II
39
44.8
19
47.5
10
47.6
10
38.5
III
24
27.6
8
20.0
7
33.3
9
34.6
Staging UICC OSNA
I
21
24.1
11
27.5
3
14.3
7
26.9
0.576A
II
38
43.7
16
40.0
9
42.9
13
50.0
III
28
32.2
13
32.5
9
42.9
6
23.1
T-stage
T1
7
8.0
3
7.5
2
9.5
2
7.7
0.636A
T2
20
23.0
11
27.5
3
14.3
6
23.1
T3
52
59.8
23
57.5
12
57.1
17
65.4
T4
8
9.2
3
7.5
4
19.0
1
3.6
Lymphatic invasion
L0
71
81.6
37
92.5
10
47.6
24
92.3
< 0.001A
L1
8
9.2
3
7.5
3
14.3
2
7.7
Lx
8
9.2
0
0.0
8
38.1
0
0.0
Vascular invasion
V0
71
81.6
35
87.5
12
57.1
24
92.3
< 0.001A
V1
10
11.5
5
12.5
3
14.3
2
7.7
Vx
6
6.9
0
0.0
6
28.6
0
0.0
Histological grade
Well (G1)
7
8.0
1
2.5
4
19.0
2
7.7
0.097A
Moderate (G2)
63
72.4
30
75.0
14
66.7
19
73.1
Poor (G3)
13
14.9
8
20.0
3
14.3
2
7.7
No information
4
4.6
1
2.5
0
0.0
3
11.5
Number of retrieved LN for routine H&E
Mean ± SD
23 ± 9.1
26 ± 9.3
20 ± 9
20.8 ± 7.5
0.013B
Range
9.0–60.0
11.0–60.0
9.0–40.0
10.0–33.0
< 12
7
8
1
2.5
2
9.5
4
15.4
0.162A
≥ 12
80
92
39
97.5
19
90.5
22
84.6
Range
0.0–11.0
0.0–11.0
0.0–9.0
0.0–10.0
Number of retrieved LN for OSNA
Mean ± SD
7.5 ± 6.6
12.0 ± 5.8
6.4 ± 5.3
1.3 ± 0.5
< 0.001A
Range
1.0–27.0
3.0–27.0
1.0–22.0
1.0–3.0
Adjuvant therapy
Yes
14
16.1
5
12.5
5
23.8
4
15.4
0.563B
No
73
83.9
35
87.5
16
76.3
22
84.6
Follow up (months)
Mean ± SD
53.4 ± 24.9
55.5 ± 23.6
64.0 ± 29.3
41.7 ± 18.2
< 0.001B
Range
0.1–109.5
0.8–97.8
4.2–109.5
0.1–64.4
Recurrence
Recurrence
14
16.1
6
15.0
4
19.0
4
15.4
0.931A
No Recurrence
73
83.9
34
85.0
17
81.0
22
84.6
Time to recurrence (months)
Mean ± SD
19.8 ± 12.3
28 ± 13.5
17.8 ± 10.5
10.5 ± 3.0
0.130C
Range
2.1–42.0
10.7–42.02
1–30.2
7.4–13.5
Recurrence localization
Local
1
1.1
1
2.5
0
0.0
0
0
0.965A
Distant
13
14.9
5
12.5
4
19.0
4
15.4
No Recurrence
73
83.9
34
85.0
17
81.0
22
84.6
Mortality in 30 days
Death
3
3.4
2
5.0
0
0.0
1
3.8
0.793C
Survival
84
96.6
38
95.0
21
100.0
25
96.2
Overall mortality
Death
28
32.2
12
30.0
8
38.1
8
30.8
0.800A
Survival
59
67.8
28
70.0
13
61.9
18
69.2
Cause of Death
Tumor progression
9
10.3
5
12.5
2
9.5
2
7.7
0.739A
Postoperative complications
3
3.4
2
5.0
0
0.0
1
3.8
Comorbidities
15
17.2
5
12.5
5
23.8
5
19.2
Survival
59
67.8
28
70.0
13
61.9
18
69.2
No information
1
1.1
0
0.0
1
4.8
0
0
CHO, Cantonal Hospital Olten; LUH, Lausanne University Hospital; LUMC, Leiden University Medical Center; SD, Standard deviation; UICC, Union for International Cancer Control; H&E, hematoxilin and eosin; OSNA, one-step nucleic acid amplification; Tx, no information regarding Tumour size; Lx, no information regarding lymphatic invasion; Vx, no information regarding vascular invasion
AChi-square test
BNo test
CKruskal–Wallis test
Follow-up and outcome
The mean follow-up time was 53.4 months (SD ± 24.9). A total of 14 patients (16.1%) developed disease recurrence, with a mean time to recurrence of 19.8 months (SD ± 12.3). Thirteen patients had distant metastases; one patient was diagnosed with a local recurrence. The overall mortality was 32.2% (28 patients) from which 10.3% (nine patients) died due to recurrent disease.
Survival analysis
In univariable analysis, detection of positive LN with H&E staining was associated with worse DFS (HR = 2.35, 95% CI 1.18–4.69, p = 0.019), CSS (HR = 10.44, 95% CI 2.18–49.94, p < 0.001) and CSRFS (HR = 6.67, 95% CI 2.30–19.31, p < 0.001). For OSNA, no impact on DFS (HR = 1.74, 95% CI 0.88–3.43, p = 0.123), worse CSS (HR = 7.69, 95% CI 1.65–35.76, p p = 0.004) and CSRFS (HR = 3.57, 95% CI 1.29–9.85, p = 0.015) were observed (Fig. 1 and Table 2).
Fig. 1
Univariate Kaplan–Meier survival curves according to diagnostic method; cancer-specific survival by H&E staining (a) and OSNA (b), disease-free survival by H&E staining (c) and OSNA (d), recurrence-free survival by H&E staining (e) and OSNA (f)
Table 2
Univariable and multivariable Cox regression analyses
Cox regression for DFS
Cox regression for CSS
Cox regression for CSRFS
UnivariableA
MultivariableB
UnivariableA
MultivariableB
UnivariableA
MultivariableB
HR (95% CI)
pC
HR (95% CI)
pC
HR (95% CI)
pC
HR (95% CI)
pC
HR (95% CI)
pC
HR (95% CI)
pC
OSNA
Negative
Reference
0.123
Reference
0.873
Reference
0.004
Reference
0.197
Reference
0.015
Reference
0.727
Positive
1.74 (0.88–3.43)
0.93 (0.40–2.21)
7.69 (1.65–35.76)
3.08 (0.26–36.07)
3.57 (1.29–9.85)
1.25 (0.30–5.15)
H&E staining
Negative
Reference
0.019
Reference
0.064
Reference
< 0.001
Reference
0.019
Reference
< 0.001
Reference
0.017
Positive
2.35 (1.18–4.69)
2.56 (0.96–6.80)
10.44 (2.18–49.94)
10.77 (1.07–108.07)
6.67 (2.30–19.31)
5.96 (1.20–29.63)
Age
< 70 years
Reference
0.010
Reference
0.064
Reference
0.013
Reference
0.334
Reference
0.100
Reference
0.751
70 + years
2.66 (1.18–6.02)
2.19 (0.83–5.82)
7.92 (1.03–60.89)
2.84 (0.34–23.90)
2.48 (0.78–7.89)
1.23 (0.32–4.75)
Gender
Female
Reference
0.477
Reference
0.891
Reference
0.185
Reference
0.407
Reference
0.157
Reference
0.587
Male
1.29 (0.64–2.56)
1.05 (0.51–2.19)
2.68 (0.58–12.30)
2.21 (0.72–6.76)
2.19 (0.72–6.69)
1.42 (0.50–4.07)
Tumour localization
Ascending and Transverse Colon
Reference
0.033
Reference
0.080
Reference
0.277
Reference
0.469
Reference
0.027
Reference
0.078
Descending
3.65 (1.54–8.65)
3.28 (1.25–8.60)
2.56 (0.26–25.54)
5.20 (0.51–52.74)
5.36 (1.29–22.32)
7.28 (1.42–37.26)
Sigmoid
1.69 (0.78–3.66)
1.29 (0.51–3.26)
3.06 (0.76–12.35)
3.13 (0.50–19.61)
3.89 (1.17–12.95)
3.18 (0.70–14.36)
T-stage
T1 and T2
Reference
0.369
Reference
0.885
Reference
0.115
Reference
0.335
Reference
0.226
Reference
0.731
T3 and T4
1.41 (0.68–2.92)
1.06 (0.48–2.34)
4.08 (0.52–32.26)
2.73 (0.43–17.39)
2.08 (0.59–7.27)
1.27 (0.33–4.87)
Histological grade
G1 and G2
Reference
0.744
Reference
0.616
Reference
0.647
Reference
0.351
Reference
0.761
Reference
0.416
G3
0.86 (0.37–1.97)
0.77 (0.32–1.90)
1.46 (0.31–6.91)
2.99 (0.41–21.65)
1.22 (0.38–3.94)
1.91 (0.47–7.78)
Adjuvant therapy
No
Reference
0.315
Reference
0.795
Reference
0.583
Reference
0.013
Reference
0.059
Reference
0.715
Yes
1.56 (0.66–3.70)
0.88 (0.31–2.50)
0.58 (0.08–4.12)
0.09 (0.01–1.34)
3.07 (1.09–8.62)
0.79 (0.21–2.97)
DFS, disease-free survival; CSS, cancer-specific survival; CSRFS, cancer-specific and recurrence-free survival; HR, Hazard ratio with 95% confidence intervals CI, Wald type; OSNA, one-step nucleic acid amplification; H&E, haematoxylin and eosine
AUnivariate cox regression analysis
BMultivariable cox regression analysis
CLikelihood ratio tests
×
Multivariate analysis confirmed detection of positive LN by H&E staining as a significant predictor for worse CSS (HR = 10.77, 95% CI 1.07–108.07, p = 0.019) and CSRFS (HR = 5.96, 95% CI 1.20–29.63, p = 0.017). For DFS (HR = 2.56, 95% CI 0.96–6.80, p = 0.064), a tendency for worse survival was observed. In contrast, no impact of OSNA positivity on DFS (HR = 0.93, 95% CI 0.40–2.21,p = 0.873) CSS (HR = 3.08, 95% CI 0.26–36.07, p = 0.197) and CSRFS (HR = 1.25, 95% CI 0.30–5.15, p = 0.727) persisted after multivariable adjustment (Table 2). The backward variable selection procedures uniformly confirmed the detection of positive LN by H&E but not by OSNA as significant predictors for CSS, DFS, and CSRFS.
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Diagnostic accuracy of H&E and OSNA
Considering cancer-specific death or recurrence as the gold standard for true LN positivity, sensitivity was 46.7% (95% CI 21.3–73.4%) for H&E and 60.0% (95% CI 32.3–83.7%) for OSNA. Specificity was 84.7% (95% CI 74.3–92.1%) and 75.0% (95% CI 63.4–84.5%) for H&E and OSNA respectively. The diagnostic odds ratio of H&E was 485.2 (95% CI 146.1–1611.8) compared to 450 (95% CI 140.7–1439.2) for OSNA.
Limiting the analysis to patients with a minimum of 12 harvested LN, sensitivity of H&E and OSNA were identical (66.7%; 95% CI 22.3–95.7%), while specificity of H&E was 75% (95% CI 47.9–92.7) and of OSNA 68.8% (95% CI 41.3–86.1).
Time-dependent diagnostic accuracy of H&E and OSNA for survival prediction
Both H&E and OSNA had a low to moderate predictive value for DFS (AUC of 0.562 and 0.573), CSS (AUC of 0.740 and 0.600) and CSRFS (AUC of 0.661 and 0.630) (Fig. 2). According to the ROC curves in Fig. 2 the cut-off for H&E staining, set to a minimum of one positive LN, obtains the best diagnostic value. For OSNA, the ROC curves suggest the possibility of higher AUC with cut-off values lower than 250 mRNA copies/μL, which were not assessed in the present study (Table 3). The diagnostic value of H&E was higher compared to OSNA for CSS and CSRFS: the observed sensitivity (defined as the rate of death predicted and not survived) and specificity (defined as 1 minus the rate of patients with death predicted and survived) for H&E staining for 5-year DFS were 37.6% and 77.0%, for 5-year CSS 75.0% and 78.8%, and for 5-year CSRFS 57.7% and 78.0%. The observed sensitivity and specificity for OSNA for 5-year DFS were 38.8% and 72.8%, for 5-year CSS 51.2% and 70.4%, and for 5-year CSRFS 48.8% and 72.2%.
Fig. 2
Time-dependent receiver operating characteristic (ROC) curves for 5-year survival rates. Curves for prediction by H&E staining are depicted in panels a, c, e and curves for prediction by OSNA in panel b, d, f. Panels a and b depict the disease-free survival, panels c and d depict the cancer-specific survival, and panels e and f depict the cancer-specific and recurrence-free survival. The area under the curve (AUC) is a measure for the diagnostic accuracy of the predictions with values of 1 representing a perfect prediction and values of 0.5 presenting a prediction by random. On the x-axis the false positives (death predicted, survived) and on the y-axis the true positives (death predicted, died) are shown. The true and false positives are estimated for each possible cut-off value (number of positive lymph nodes for H&E and Units for OSNA)
Table 3
Lymph node positivity for different OSNA thresholds
OSNA threshold
(copies/μL)
H&E
OSNA
negative
OSNA
positive
250
Negative
580
21
250
Positive
10
39
1000
Negative
593
8
1000
Positive
11
38
10,000
Negative
598
3
10,000
Positive
18
31
OSNA, one-step nucleic acid amplification; H&E, haematoxylin and eosin
×
Discussion
This is the first study to evaluate the prognostic value of OSNA analysis in patients with colon cancer. According to the here presented results, OSNA offers no prognostic advantage compared to conventional LN staging with H&E. Interestingly, our previous studies identified OSNA as a promising diagnostic tool in colon cancer, showing high concordance rates with conventional histopathological workup with H&E, which were also confirmed by other authors in subsequent studies [13‐15, 21]. However, all these previous trials investigated the performance of OSNA for the histopathological staging of colon cancer LN compared to either staging with H&E or multilevel sectioning and staining with immunohistochemistry and did not elucidate its prognostic value. Assessing the prognostic value of a method for LN staging is challenging as a reasonable gold standard for the definition of LN negativity, and positivity still does not exist. As a worldwide standard, one to two sections of each retrieved LN are analysed with H&E. Yet this workup entails a big risk of missing small nodal tumour infiltrates (i.e. isolated tumour cells and micrometastases), and this method is therefore not suitable as a gold standard against which a new diagnostic method can be tested for comparison. To compare OSNA with standard H&E workup, we therefore defined a gold standard for the definition of LN negativity and positivity. Assuming correctly staged node negative patients will not develop disease recurrence, we set the event of disease recurrence or cancer-related death as the gold standard to distinguish between true node negative and positive disease. With this distinct definition of true LN negativity and positivity, the diagnostic accuracy of H&E as well as of OSNA was markedly impaired compared to our previous reports as well as to a recently published systematic review [22]. This phenomenon occurs most likely due to missed small nodal tumour infiltrates at initial staging, suggesting that understaging is a persistent problem regardless of the technique used. The understaging is a relevant problem in the histopathological assessment of colon cancer, which was mentioned by our group previously, showing that multilevel sectioning with immunohistochemistry leads to a relevant upstaging of 15.4–26% of otherwise negatively classified patients [8, 23]. However, the prognostic impact of small nodal tumour infiltrates is still a matter of debate.
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The previous studies focused on a dichotomic scale for LN positivity defining the threshold at 250 CK19 mRNA copies per µL, which corresponds to micrometastases, making sure that macro- and micrometastases and not isolated tumour cells are scored as metastatic LN involvement [10, 12‐15, 17]. Since the present study is a retrospective analysis, the same threshold was considered.
The time-dependent ROC curves suggested the possibility of higher AUC with cut-off values lower than 250 mRNA copies/μL. This could be explained by the presence of isolated tumour cells. However, the previous studies did not characterize the CK 19 mRNA threshold corresponding to isolated tumour cells.
The amount of CK19 mRNA correlates with the size of the LN metastases making it feasible to calculate the total tumor load (TTL) of a specimen [21, 24]. These studies showed that the TTL correlates with the number of metastatic LN.
However, Aldecoa et al. observed that high-grade (G3) tumours or tumours with vascular invasion (V1) presented lower levels of TTL making it not a reliable prognostic tool for these specific pathologic features [24].
The multivariate cox analysis confirmed that a positive LN status with H&E (UICC stage III) was a predictor of worse CSS, as previously described in the literature [25, 26]. On the other hand, detection of positive LN with OSNA did not demonstrate to predict a worse CSS. This lack of significance may be due to the fact that fewer LN per patient were analysed with OSNA as only a part of a sentinel LN was used for OSNA analysis. In the case of H&E, all LNs were always examined by means of H&E, which is why there might be a higher chance of predicting recurrences. However, non-sentinel LN was only assessed with one to two H&E-stained sections, according to the worldwide standard. It would be necessary to fully analyse all LN of each patient by means of H&E and OSNA. This is technically not possible, as LN needed for H&E cannot be processed for OSNA and vice versa. However, by investigating the sentinel LN we set our focus on those LN having the highest probability of harbouring metastases. Nevertheless, we cannot ensure both LN fragments to harbour a metastasis, meaning that the metastasis could be found only in the fragment assigned to H&E analysis and not in the OSNA fragment and vice-versa.
The Kaplan–Meier survival analysis showed that a positive LN status with conventional H&E was predictive for worse CSS, DFS and CSRFS, in contrast to an OSNA-positive LN status.
We would like to acknowledge the limitations of the present study. Our sample size is relatively small which may result in reduced statistical power. Nevertheless, for the time being it is the largest published cohort of patients in the literature and the first study investigating the prognostic impact of OSNA in patients with colon cancer so far and includes patients from three different centres. As a cohort study, the presence of confounders is a possibility but the patients' characteristics of all considered study centres were homogenous, making a selection bias unlikely.
The present study is the first evaluating the prognostic value of OSNA in patients with colon cancer so far and includes patients from three different centres. OSNA failed to outperform conventional H&E workup regarding its prognostic value. Despite its relevance in other fields (breast cancer), the results of the here presented study do not support the adoption of OSNA alone in the routine staging of patients with colon cancer. Further studies should assess lower thresholds for OSNA (< 250 copies/μL), in order to detect isolated tumour cells increasing the prognostic value of this molecular detection method.
Compliance with ethical standards
Conflict of interest
The authors disclaim no conflict of interest.
Informed consent
Informed consent was obtained from all individual participants included in the study.
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