Literature DB >> 26624896

Positive Surgical Margin, HPV Persistence, and Expression of Both TPX2 and PD-L1 Are Associated with Persistence/Recurrence of Cervical Intraepithelial Neoplasia after Cervical Conization.

Hui Zhang1,2, Tingguo Zhang3, Zongbing You4,5,6,7,8, Youzhong Zhang1.   

Abstract

OBJECTIVE: To determine the clinicopathologic and immunohistochemical predictors of the persistence/recurrence of cervical intraepithelial neoplasia (CIN) after cervical conization.
METHODS: Medical records of 502 patients who received cervical conization treatment of CIN between 2005 and 2012 were reviewed. The clinicopathologic parameters were analyzed using Cox hazard regression. Fifty patients with CIN persistence/recurrence were matched to 50 cases without CIN persistence/recurrence. These 100 cervical specimens were assessed for expression of insulin-like growth factor II messenger RNA (mRNA)-binding protein 3 (IMP3), targeting protein for xenopus kinesin-like protein 2 (TPX2), and programmed cell death-1 ligand-1 (PD-L1) using immunohistochemical staining.
RESULTS: Multivariate analysis found that the independent predictors of CIN persistence/recurrence were positive surgical margin (hazard ratio 5.777, 95% confidence interval 2.334-14.301, p < 0.001) and human papilloma virus persistence for 6 months (hazard ratio 20.685, 95% confidence interval 7.350-57.657, p < 0.001). Co-expression of TPX2 and PD-L1 was significantly higher in CIN persistence/recurrence group than the group without CIN persistence/recurrence (p = 0.013). The depth of glandular involvement (GI) was less than 3mm in about 86.8% (59/68) CIN2-3 lesions, However, No statistically significant associations between GI and persistence/recurrence were observed (P = 0.58).
CONCLUSION: Positive surgical margin, HPV persistence, and expression of both TPX2 and PD-L1 are associated with persistence/recurrence of cervical intraepithelial neoplasia after cervical conization.

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Year:  2015        PMID: 26624896      PMCID: PMC4666599          DOI: 10.1371/journal.pone.0142868

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Cervical conization is now a widespread method for diagnosing and treating cervical intraepithelial neoplasia (CIN). Cold knife conization (CKC) and loop electrosurgical excision procedure (LEEP) are the two most common available techniques. Although cervical conization is thought to be extremely effective, 5% to 25% of the cases are left with persistent or recurrent high-grade lesions [1-4]. The risk of developing cervical cancer after treatment of CIN is five times higher than that in the general population [5]. Previous studies have suggested that the increased risk of cervical cancer may be associated with incomplete follow-up [1,6]. About half of the treated patients fail to comply with the follow-up schedules in the first two years [7], which poses a challenge in the post-conization surveillance protocol. It has been suggested that positive margins, persistent human papilloma virus (HPV) infection, CIN grade, treatment type, glandular involvement, age and immunosuppression are the predictors for persistence/recurrence [1,8-12]. However, it is still difficult for the gynecologists to predict the outcome of each individual patient. Therefore, additional studies of molecular biomarkers besides the pathologic or demographic parameters may be of value for improving the outcome prediction. A previous study showed that expression of insulin-like growth factor II messenger RNA (mRNA)-binding protein 3 (IMP3) is associated with poor prognosis in cervical cancer [13]. Targeting protein for xenopus kinesin-like protein 2 (TPX2) has been demonstrated to be overexpressed in cervical cancer [14]. Since both IMP3 and TPX2 have been associated with growth of cervical cancer, we speculated that they might also be associated with growth of CIN. A recent meta-analysis indicated that expression of programmed cell death-1 ligand-1 (PD-L1, also called B7-H1) is associated with poor prognosis of many cancers [15]. PD-L1 acts on programmed cell death-1 (PD-1) to inhibit activated T cells, thus suppressing immune function. We speculated that high PD-L1 expression might favor HPV infection and growth of abnormal cervical epithelial cells, hence being associated with persistence/recurrence of CIN after cervical conization. Therefore, we assessed the expression of IMP3, TPX2, and PD-L1 using immunohistochemistry (IHC) and determined their potential value as molecular biomarkers for the persistent or recurrent CIN lesions after conization. We hypothesized that IMP3 and TPX2 (via mechanisms of driving cervical epithelial cells growth) and PD-L1 (via mechanisms of promoting HPV infection and abnormal cervical epithelial cells growth) might be associated with the risks of persistent/recurrent CIN. We also evaluated whether any clinical or histopathologic variables were able to identify the subclass of patients with a high risk of persistence / recurrence.

Materials and Methods

Human Patient Data

We included all patients who underwent a CKC or LEEP procedure because of CIN at the Qilu Hospital of Shandong University from July 2005 to December 2012. Records were obtained retrospectively from the colposcopy computer database and the hospital’s patient database including information about patient’s age, parity, menopausal status, cone depth, punch biopsy histological grade, conization histological grade and margin status. All data were retrieved between February and May 2015. Using the name, admission number or the registration number of LEEP, we can identify the patients’ information in the archives. This study was approved by the Human Ethics Committee of the Qilu Hospital of Shandong University. A written informed consent regarding use of specimens for future research was obtained from all the patients. Colposcopy was performed prior to conization. The largest diameter of the loop was chosen to be 25 mm and it was ensured that the excision of the epithelium was about 3–5 mm beyond the borderline of the lesion. The specimens were examined for cone depth, histologic grade, orientation and surgical margins state. Margins were reported as positive if any grade of CIN existed at or near (≤1 mm) the resection surface. Post-conization follow-up included cervical Pap smear and Hybrid Capture II HPV DNA testing after 3, 6, and 12 months in the first-year, and then every 6–12 months. All women with abnormal cytology or/and consistent HPV infection for 1 year underwent a colposcopy-directed biopsy (CDB) and/or an endocervical curettage (ECC) if indicated. Any grade of CIN on the histological diagnosis or malignant transformation was considered as persistent/recurrent CIN lesion. Some patients were excluded from this study based on the following exclusion criteria: 1) incompliance with regular post-conization follow-up (regular follow-up for at least 1 year); 2) cervical biopsy diagnosis attained from other hospitals without consultation; 3) specimens obtained from other than conization (e.g., hysterectomy); 4) micro-invasive cervical cancer; and, 5) glandular abnormalities. Totally 502 patients were included, from which 50 patients were found having CIN recurrence/persistence and another 50 patients without CIN persistence/recurrence were identified to match them. Thus, a total of 100 paraffin-embedded conization specimens were obtained from the Department of Pathology at the Qilu Hospital of Shandong University. Initial histopathological diagnosis on the H&E sections was re-reviewed by 2 gynecologic pathologists. The number of quadrants involvement and depth of gland involvement (GI) were also assessed. The depth of gland involvement (GI) was measured by the distance between the basement membrane of the surface epithelium and the deepest site of gland involvement (GI).

Immunohistochemical (IHC) Staining

IHC staining was performed using the following antibodies from Abcam (Cambridge, MA, USA): mouse anti-TPX2 (Ab32795, 1:300 dilution), rabbit anti-IMP3 (Ab109521, 1:100 dilution), and mouse anti-PDL1 (Ab58810, 1:40 dilution). IHC was carried out with the avidin-biotin complex (ABC) using SP Kit (Vector Laboratories, Burlingame, CA, USA) according to the manufacturer’s instructions. Briefly, the reviewed sample was then submitted to consecutive cuts at 4 μm. Slides were dried at 60°C for 1 hour, de-paraffinized in xylene, re-hydrated through a graded ethanol series. Antigen retrieval was performed by boiling the tissues in 0.01M EDTA buffer at 95°C for 5 min. After blocking endogenous peroxidase activity, the slides were incubated with primary antibody overnight at 4°C refrigerator. Subsequently, secondary antibody was applied for 1 hour. Immunoreactive complexed were detected using diaminobenzidine chromogen. Finally, slides were counterstained with hemotoxylin, dehydrated in graded ethanol, cleared with xylene and mounted. The negative controls used the non-immune isotype serum instead of the primary antibodies, and the positive controls were the tissue sections that previously stained positive for the marker proteins. The IHC staining was evaluated based on the Allred scoring system [16]. The proportion scores were: 0, none; 1, less than one-hundredth; 2, one-hundredth to one-tenth; 3, one-tenth to one-third; 4, one-third to two-third; and 5, greater than two thirds. The intensity scores represented the estimated average staining intensity of positive tumor cells: 1, weak; 2, intermediate; and 3, strong. Ten high-power fields (x400 magnification) of each specimen were evaluated. The average intensity scores and proportion scores were added as the total Allred scores (range = 0 to 8).

Statistical Analysis

Statistical analysis was performed using SPSS version 20.0 for Windows (SPSS Inc., Chicago, IL. USA). Discrete variables were expressed as median (range), categorical variables as number (percentage).Analysis of quantitative data was undertaken using Mann-Whitney U test. Analysis of categorical data was undertaken using Chi-square test or Monto Carlo exact test. Hazard ratio (HR) with 95% confidence interval (CI) was calculated. Multivariate analysis was achieved using Cox hazard regression. The Kaplan-Meier method was used to estimate the time to CIN persistence/recurrence. The log-rank test was used to test for possible differences between different groups. All p values were 2-tailed and p ≤ 0.05 was considered statistically significant.

Results

A total of 502 patients were included in this study. The patients ranged from 21 to 71 years of age, with a mean age of 38.5 years. After a median follow-up of 33 months (range: 1–94 months), persistent/recurrent lesions were found in 50 patients (approximately 10%).One patient with CIN2 in LEEP specimen showed invasive cancer during follow-up one month later after LEEP. In order to better analyze variables potentially involved with CIN persistence/recurrence, the patients were divided into two groups according to their follow-up results (see Table 1). There were no significant variations in terms of age, parity, menopausal status, types of conization, punch biopsy, HPV infection, colposcopy, and histological results in conization specimens. On the other hand, patients who had a persistent/recurrent lesions had a higher rate of positive surgical margins (p<0.001) and a cone depth less than 18 mm (p = 0.049).
Table 1

Correlation between demography and histopathology with recurrence.

CKC, cold knife conization; LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus.

VariableNo recurrence (n = 452)Recurrence (n = 50)P value
Age (median and range) 39 (21–71) 38 (21–62) 0.844 a
Menopause 0.783 b
Yes 23 (5.1%) 3 (6%)
No 429 (94.9%) 47 (94%)
Parity (median and range) 1 (0–3) 1 (0–3) >0.99 a
Conization method 0.454 b
LEEP 148 (32.7%) 19 (38%)
CKC 304 (67.3%) 31 (62%)
Cone depth (mm) 0.049 b
≤18 162 (35.8%) 25 (50%)
>18 290 (64.2%) 25 (50%)
Punch biopsy 0.325 b
CIN1 29 (6.4%) 3 (6%)
CIN2 154 (34.1%) 12 (24%)
CIN3 269 (59.5%) 35 (70%)
High risk HPV 0.289 b
Yes 412(91.2%) 48 (96%)
No 40 (8.8%) 2(4%)
Colposcopy adequacy 0.227 b
Yes 354 (78.3%) 35 (70%)
No 98 (21.7%) 15 (30%)
Cone pathology 0.271 b
Normal 54 (11.9%) 3 (6%)
CIN1 67(14.8%) 6 (12%)
CIN2 105(23.2%) 9 (18%)
CIN3 226 (50%) 32 (64%)
Surgical margins <0.001 b
Negative 402 (97.1%) 38 (82.6%)
Positive 12 (2.9%) 8 (17.4%)
Follow-up (months, median, range) 34 (12–94) 12 (1–55)

Pearson Chi-square test.

Mann-Whitney U test.

Correlation between demography and histopathology with recurrence.

CKC, cold knife conization; LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus. Pearson Chi-square test. Mann-Whitney U test. In order to evaluate which variables could be considered as independent predictors for long-term recurrence after conization, we used the Cox proportional hazard model. We found that the independent predictors of CIN persistence/recurrence were positive surgical margin (HR 5.777, 95% CI 2.334–14.301, p < 0.001; Wald 14.386) and HPV persistence more than 6 months (HR 20.685, 95% CI 7.350–57.657, p < 0.001; Wald 33.131) (see Table 2).
Table 2

Multivariate analysis of factors for prediction of persistence/recurrence after CKC/LEEP.

LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus.

Multivariate analysis
VariablesWaldHR (95% CI) P value a
Age (>35 years) 0.145 0.866 (0.414–1.811) 0.703
Vaginal delivery (≥1) 0.143 0.816 (0.285–2.335) 0.705
Menopause 0.359 1.454 (0.428–4.941) 0.549
Conization method (LEEP) 0.069 1.105 (0.523–2.335) 0.793
Cone pathology (CIN3) 0.773 1.197 (0.801–1.788) 0.379
Cone depth (≤18 mm) 0.607 0.756 (0.374–1.528) 0.436
Glandular involvement 0.096 1.140 (0.496–2.621) 0.757
Surgical margins (positive) 14.386 5.777 (2.334–14.301) <0.001
HPV persistence (≥6 months) 33.131 20.586 (7.350–57.657) <0.001

COX regression

Multivariate analysis of factors for prediction of persistence/recurrence after CKC/LEEP.

LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus. COX regression In order to evaluate the long-term risk of recurrence based on the role of these two predictors, a Kaplan-Meier curve was plotted. We found that women with positive margins had worse outcomes than those with negative margins, and among the patients with negative margins, those with HPV persistence (≥ 6 months) after conization had worse outcomes than those without HPV at 6-months follow-up (Fig 1).
Fig 1

Persistence/recurrence-free rate of women after cervical conization.

The patients were divided into three groups according to surgical margin and HPV status.

Persistence/recurrence-free rate of women after cervical conization.

The patients were divided into three groups according to surgical margin and HPV status. We identified 50 cases with CIN persistence/recurrence and matched these cases with 50 patients without CIN persistence/recurrence (see the matched variables in Table 3). After propensity-score matching, we used SPSS to generate the matched pairs. All the nine matched variables had no significant differences between persistence/recurrence group and no persistence/recurrence. Punch biopsy and colposcopy adequacy were similar between the two groups.
Table 3

Characteristics of patients having LEEP/CKC (matched pairs).

CKC, cold knife conization; LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus.

VariableNo recurrence (n = 50)Recurrence (n = 50)P value
Age (median and range) 38 (25–54) 38 (21–62) 0.863 a
Menopause >0.99 b
Yes 3 (6%) 3 (6%)
No 47 (94%) 47 (94%)
Parity (median and range) 1 (0–3) 1 (0–3) 0.767 a
Conization method >0.99 b
LEEP 19 (38%) 19 (38%)
CKC 31 (62%) 31 (62%)
Cone depth (mm) >0.99 b
≤18 25 (50%) 25 (50%)
>18 25 (50%) 25 (50%)
Punch biopsy d 0.540 b
CIN1 5 (10%) 3 (6%)
CIN2 9 (18%) 12 (24%)
CIN3 36 (72%) 35 (70%)
Colposcopy adequacy d 0.617 b
Yes 38 (76%) 35 (70%)
No 12 (24%) 15(30%)
Cone pathology >0.99 c
Normal 3 (6%) 3 (6%)
CIN1 5 (10%) 6 (12%)
CIN2 9 (18%) 9 (18%)
CIN3 33 (66%) 32 (64%)
Surgical margins 0.524 c
Negative 41 (82%) 38 (76%)
Positive 4 (8%) 8 (16%)
Uncertain 5 (10%) 4 (8%)
Glandular involvement 0.668 b
Yes 33 (66%) 35 (75%)
No 17 (34%) 15 (25%)
HPV persistence(≥ 6 months) >0.99 b
Yes 46 (92%) 46 (92%)
No 4 (8%) 4 (8%)

Mann-Whitney U test.

Pearson Chi-square test.

Monte Carlo exact test.

not the matched factor.

Characteristics of patients having LEEP/CKC (matched pairs).

CKC, cold knife conization; LEEP, loop electrosurgical excision procedure; CIN, cervical intraepithelial neoplasia; HPV, human papilloma virus. Mann-Whitney U test. Pearson Chi-square test. Monte Carlo exact test. not the matched factor. The number of quadrants involvement and depth of gland involvement (GI) were studied on H&E sections of the 50 matched pairs. The results are shown in Table 4. According to the number of quadrants involvement, the patients were classified into the following two groups: 1–2 quadrants and 3–4 quadrants. Although the majority of CIN3 lesions involved more quadrants than CIN1-2 lesions (p = 0.027), no statistically significant association between more quadrants involvement and persistent/recurrent disease was observed (p = 0.398). The depth of GI was less than 3 mm in about 86.8% (59/68) CIN2-3 lesions, while it was 3–5 mm in 11.7% (8/68), and only one CIN3 case had GI of 7.5 mm. No gland involvement was found in 11 CIN1 lesions. The mean depth of CIN2 gland involvement was 0.8 mm (range: 0.2–5 mm), while that of CIN3 was 1 mm (range: 0.2–7.5mm). There was significant difference between the two groups (p = 0.039). However, no statistical significance was noted between the persistence/recurrence group and no persistence/recurrence group (p = 0.58).
Table 4

Number of quadrants involvement and depth of gland involvement in CIN.

CIN, cervical intraepithelial neoplasia; QI, quadrants involvement; GI, gland involvement; NA, not applicable.

No recurrenceRecurrenceP valueCIN1CIN2CIN3P value
Number of QI 0.398 a 0.027 b
1–2 41 38 11 17 51
3–4 6 9 0 1 14
Total 47 47 11 18 65
Depth of GI (mm) 1 (0.3–5) 1 (0.2–7.5) 0.580 c NA 0.8 (0.2–5) 1 (0.2–7.5) 0.039 c
Cases 33 35 11 12 56

Pearson Chi-square test.

Monte Carlo exact test.

Mann-Whitney U test.

Number of quadrants involvement and depth of gland involvement in CIN.

CIN, cervical intraepithelial neoplasia; QI, quadrants involvement; GI, gland involvement; NA, not applicable. Pearson Chi-square test. Monte Carlo exact test. Mann-Whitney U test. Then IHC staining results are shown in Table 5. Representative pictures of IMP3, TPX2 and PDL1 staining are shown in Fig 2. For IMP3 staining, cytoplasmic staining in the layer of epithelial cell was scored as positive. The positive rate of IMP3 is 24% (12/50) in no CIN persistence/recurrence group and 22% (11/50) in CIN persistence/recurrence group. IMP3 expression was observed in none of the 6 normal conization specimens, 2 of 11 (18.2%) CIN1, and 21 of 83 (25.3%) high-grade lesion (CIN2 and CIN3) specimens. No significant differences in IMP3 expression were observed between the groups (Table 5).
Table 5

Allred score of immunohistochemical staining.

CIN, cervical intraepithelial neoplasia; TPX2, xenopus kinesin-like protein 2; IMP3,insulin-like growth factor II messenger RNA (mRNA)-binding protein 3; PD-L1,programmed cell death-1 ligand-1.

MarkerNo recurrence (n = 50)Recurrence (n = 50)P valueNormal/CIN1 (n = 17)CIN2-3 (n = 83)P value
TPX2
Intensity score 0.7 (0–2.2) 1.0 (0–2.2) 0.494 a 0.2 (0–1.0) 1.0 (0–2.2) 0.001 a
Proportion score 1.2 (0–5.0) 1.4 (0–4.0) 0.639 a 0.4 (0–2.5) 1.5 (0–5.0) 0.002 a
Total score 2.0 (0–7.2) 2.4 (0–6.1) 0.624 a 0.6 (0–3.5) 2.8 (0–7.2) 0.001 a
Positive staining 26 (52%) 33 (66%) 0.155 b 3 (17.6%) 56 (67.5%) <0.001 b
IMP3
Intensity score 0 (0–1.6) 0 (0–1.8) 0.798 a 0 (0–1.0) 0 (0–1.8) 0.089 a
Proportion score 0 (0–3.8) 0 (0–4.2) 0.822 a 0 (0–2.5) 0 (0–4.2) 0.137 a
Total score 0 (0–5.0) 0 (0–6.0) 0.865 a 0 (0–3.8) 0 (0–6.0) 0.124 a
Positive staining 12 (24%) 11 (22%) 0.812 b 2 (11.8%) 21 (25.3%) 0.372 b
PD-L1
Intensity score 0.6 (0–2) 1 (0–3) 0.339 a 0 (0–2) 1 (0–3) 0.072 a
Proportion score 1.8 (0–5) 2.2 (0–5) 0.449 a 0 (0–3) 2.8 (0–5) 0.008 a
Total score 2.5 (0–7) 3.2 (0–8) 0.380 a 0 (0–5) 3.8 (0–8) 0.016 a
Positive staining 23 (46%) 30 (60%) 0.161 b 5 (29.4%) 48 (57.8%) 0.032 b
TPX2+IMP3Positive staining 9 (18%) 9 (18%) >0.99 b 1 (5.9%) 17 (20.5%) 0.280 b
TPX2+PD-L1Positive staining 13 (26%) 25 (50%) 0.013 b 2 (11.8%) 36 (43.4%) 0.014 b
IMP3+PD-L1Positive staining 6 (12%) 7 (14%) 0.766b 0 (0) 13 (15.7%) 0.176b
TPX2+IMP3+PD-L1 Positive staining 4 (8%) 6 (12%) 0.505 b 0 (0) 10(12.0%) 0.287 b

Mann-Whitney U test.

Pearson Chi-square test.

Fig 2

Representive pictures of immunohistochemical staining of TPX2, IMP3, and PD-L1 in cervical tissues.

Negative controls used non-immune isotype serum instead of primary antibodies. Arrows indicate the positively stained cells. Scale bars, 50 μm; original magnification, x200.

Representive pictures of immunohistochemical staining of TPX2, IMP3, and PD-L1 in cervical tissues.

Negative controls used non-immune isotype serum instead of primary antibodies. Arrows indicate the positively stained cells. Scale bars, 50 μm; original magnification, x200.

Allred score of immunohistochemical staining.

CIN, cervical intraepithelial neoplasia; TPX2, xenopus kinesin-like protein 2; IMP3,insulin-like growth factor II messenger RNA (mRNA)-binding protein 3; PD-L1,programmed cell death-1 ligand-1. Mann-Whitney U test. Pearson Chi-square test. The expression of TPX2 protein was localized in the nuclei. The positive rates of TPX2 in CIN persistence/recurrence group and no persistence/recurrence group were 66% (33/50) and 52% (26/50), respectively. There was no significant difference between the two groups. However, the intensity and proportion scores and the total Allred score of TPX2 staining as well as the positive rate of TPX2 staining were significantly higher in pathological grade II and III than those in grade I and normal specimens (Table 5). For PD-L1 staining, expression of PD-L1 on the plasma membrane and/or in the cytoplasm of neoplastic cells was scored as positive. PD-L1 positivity was seen in 60% (30/50) of CIN persistence/recurrence group and 46% (23/50) of no CIN persistence/recurrence group (p = 0.161). However, PD-L1 positive rate was significantly higher in CIN2-3 group (57.8%) than that in CIN1/Normal group (29.4%) (p = 0.032). There were also significant differences in the proportion score and total Allred score of PD-L1 staining between these two groups (p = 0.008 and p = 0.016, respective, see Table 5). Further analysis found that co-expression of TPX2 and PD-L1 was significantly higher in CIN persistence/recurrence group than in no persistence/recurrence group (p = 0.013) and there was also significant difference in co-expression of TPX2 and PD-L1 between CIN1/Normal group and CIN2-3 group (p = 0.014, see Table 5).

Discussion

CIN treatment reduces the risk of cervical cancer by 95%, however, the chance of developing cervical cancer in women with CIN is still five times of the general population [5]. It has been suggested that an important reason of persistently increased cancer rate is due to a high rate of default from follow-up [2]. Macgregor JE et al. found that half of those who developed cervical cancer after previous treatment of CIN missed follow-up screening [17]. Identification of the clinicopathologic and/or immunohistochemical predictors of CIN persistence/recurrence may improve follow-up of the high-risk population. Our findings demonstrate that positive surgical margin is an important predictor for CIN persistence/recurrence after conization, which is consistent with the previous studies [9,11]. In our cohort, CIN persistence/recurrence occurred in 40% of patients with positive surgical margins, which is similar to the previous reports [9,11]. However, only 4.3% patients had positive surgical margins in our cohort, which is lower than the previously reported rates [9,11]. One reason is that some repeat conizations because of positive margin are excluded; another reason is the larger cone size which reduces the possibility of residual lesions. A recent study showed that a cone depth more than 18–20 mm could avoid residual lesions with a 95% probability [18]. In our cohort, approximately 62.7% of the cones had a depth more than 18 mm. We found CIN persistence/recurrence in 9.5% of the patients with negative surgical margins. In these patients, the CIN persistence/recurrence rate is significantly higher in HPV persistence group than that HPV-negative group (27.2% vs 1.8%, p < 0.001). Multivariate analysis showed that HPV persistence for 6 months after conization is another significant risk factor for CIN persistence/recurrence. A systematic literature review found that HPV testing has a high sensitivity in the prediction of treatment failure [3]. In our cohort, approximately 92% CIN persistence/recurrence after conization occurred in women with persistent HPV infections. Approximately 34.8% HPV tests were positive after 6 months of conization, which is higher than the rate (21%) in a previous study [19], but a recent study shows that post-conization persistence 1 year of hrHPV is detected in 21.2% patients[8]. The exact reasons for the discrepancy are not clear, which may be due to multiple factors including personal hygiene, sexual partners, and the HPV test methods. The number of quadrant involvement was not found to be a predictor for CIN persistence/recurrence in our cohort, which echoes a previous finding by Suttha Hamontri et al [20]. Few studies examined the correlation between the depth of gland involvement and CIN persistence/recurrence. Our data indicated that there was no statistically significant association between them. Nonetheless, we found that the depth of GI was less than 3 mm in most of CIN2-3 lesions and the depth increased from CIN2 to CIN3, which is consistent with a previous study [21]. Whether this finding could be helpful for surgeons to choose surgical scale should be studied further in the future researches. Further study on Immunohistochemical Predictors of Persistent/Recurrent lesion was carried out after analyzing Clinicopathologic factors. As is known to all, CIN is a premalignant lesion, caused by persistent hrHPV infection. We chose to assess expression of TPX2 as it is related to cellular proliferation, IMP3 as it is involved in cellular invasion, and PD-L1 as it is an immune checkpoint inhibitor that inhibits immune response. TPX2 is a microtubule-associated protein, and TPX2 overexpression drives carcinogenesis in various malignancies [22]. TPX2 has also been suggested as an early biomarker for malignant transformation of cervical squamous epithelial tissue [14]. IMP3 is an oncofetal protein, which could promote cell adhesion, migration and metastasis in many malignancies [23]. PD-L1 is a cell surface glycoprotein and a member of B7 family of T cell coregulatory molecules, which acts on PD-1 to inhibit T cells [24]. Taku Okazaki et al demonstrated a strong correlation between PD-L1 expression on the tumor cells and a negative prognosis for human cancer patients because PD-1‒PD-L-dependent immune-inhibition is exploited by the tumors to evade the host immune system [15]. We speculate that HPV and CIN neoplastic cells may also activate PD-1-PD-L1 immunosuppression to avoid host immune attacks on the viruses and the abnormal cells. We found that the positive rates of TPX2, IMP3 and PD-L1 expression was 59%, 23% and 53%, respectively. The positive rate of TPX2 expression was similar to the finding of a previous study [22]. The positive rates of IMP3 and PD-L1 were slightly higher than the rates reported in the previous studies [13,25]. It is likely that the main reason is the differences of score systems applied in each study. We did not find any significant differences between CIN persistence/recurrence group and the group without CIN persistence/recurrence, in terms of expression of IMP3, TPX2, and PD-L1. However, we did find that the levels of expression of TPX2 and PD-L1 were significantly higher in the CIN2-3 group than CIN1/normal group, suggesting that these two markers are associated with high grade CIN lesions. In addition, CIN persistence/recurrence group had significantly more cases with co-expression of TPX2 and PD-L1 than the group without CIN persistence/recurrence, suggesting that co-expression of TPX2 and PD-L1 may be a potential predictor for CIN persistence/recurrence. In summary, the present study found that positive surgical margin, HPV persistence for 6 months after conization, and co-expression of TPX2 and PD-L1 expression are associated with CIN persistence/recurrence after cervical conization. These findings suggest that large cone resection and tests for HPV, TPX2, and PD-L1 may be useful in the clinical treatment and follow-up of patients with CIN.

Relevant data underlying the findings described in manuscript.

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  25 in total

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Authors:  Haiping Chang; Jingzhi Wang; Yuan Tian; Jie Xu; Xiaojuan Gou; Jianxin Cheng
Journal:  Oncol Rep       Date:  2012-02-01       Impact factor: 3.906

4.  Risk factors for cervical intraepithelial neoplasia recurrence after conization: a 10-year study.

Authors:  Maurizio Serati; Gabriele Siesto; Simona Carollo; Giorgio Formenti; Cristina Riva; Antonella Cromi; Fabio Ghezzi
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2012-07-06       Impact factor: 2.435

5.  p53 protein accumulation detected by five different antibodies: relationship to prognosis and heat shock protein 70 in breast cancer.

Authors:  R M Elledge; G M Clark; S A Fuqua; Y Y Yu; D C Allred
Journal:  Cancer Res       Date:  1994-07-15       Impact factor: 12.701

Review 6.  TPX2: of spindle assembly, DNA damage response, and cancer.

Authors:  Gernot Neumayer; Camille Belzil; Oliver J Gruss; Minh Dang Nguyen
Journal:  Cell Mol Life Sci       Date:  2014-02-21       Impact factor: 9.261

7.  IMP3 expression is associated with poor survival in cervical squamous cell carcinoma.

Authors:  Qingzhu Wei; Jinhai Yan; Bo Fu; Jianghuan Liu; Ling Zhong; Qiao Yang; Tong Zhao
Journal:  Hum Pathol       Date:  2014-07-30       Impact factor: 3.466

8.  Risk factors for human papillomavirus persistence among women undergoing cold-knife conization for treatment of high-grade cervical intraepithelial neoplasia.

Authors:  Eralp Baser; Emre Ozgu; Selcuk Erkilinc; Cihan Togrul; Mete Caglar; Tayfun Gungor
Journal:  Int J Gynaecol Obstet       Date:  2014-03-12       Impact factor: 3.561

9.  Screening for cervical intraepithelial neoplasia in north east Scotland shows fall in incidence and mortality from invasive cancer with concomitant rise in preinvasive disease.

Authors:  J E Macgregor; M K Campbell; E M Mann; K Y Swanson
Journal:  BMJ       Date:  1994-05-28

Review 10.  Insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs): post-transcriptional drivers of cancer progression?

Authors:  Jessica L Bell; Kristin Wächter; Britta Mühleck; Nikolaos Pazaitis; Marcel Köhn; Marcell Lederer; Stefan Hüttelmaier
Journal:  Cell Mol Life Sci       Date:  2012-10-16       Impact factor: 9.261

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  7 in total

1.  Clinical and Immunologic Biomarkers for Histologic Regression of High-Grade Cervical Dysplasia and Clearance of HPV16 and HPV18 after Immunotherapy.

Authors:  Matthew P Morrow; Kimberly A Kraynyak; Cornelia L Trimble; Mark L Bagarazzi; Albert J Sylvester; Michael Dallas; Dawson Knoblock; Jean D Boyer; Jian Yan; Russell Vang; Amir S Khan; Laurent Humeau; Niranjan Y Sardesai; J Joseph Kim; Stanley Plotkin; David B Weiner
Journal:  Clin Cancer Res       Date:  2017-10-30       Impact factor: 12.531

2.  Posttranscriptional Control of PD-L1 Expression by 17β-Estradiol via PI3K/Akt Signaling Pathway in ERα-Positive Cancer Cell Lines.

Authors:  Lingyun Yang; Feng Huang; Jiandong Mei; Xun Wang; Qiuyang Zhang; Hongjing Wang; Mingrong Xi; Zongbing You
Journal:  Int J Gynecol Cancer       Date:  2017-02       Impact factor: 3.437

3.  Programmed death-ligand 1 (PD-L1) is expressed in a significant number of the uterine cervical carcinomas.

Authors:  Opal L Reddy; Peter I Shintaku; Neda A Moatamed
Journal:  Diagn Pathol       Date:  2017-06-17       Impact factor: 2.644

4.  Programmed death-1 (PD-1) expression in cervical intraepithelial neoplasia and its relationship with recurrence after conization.

Authors:  Hyeyoon Chang; Jin Hwa Hong; Jae Kwan Lee; Hyun Woong Cho; Yung Taek Ouh; Kyung Jin Min; Kyeong A So
Journal:  J Gynecol Oncol       Date:  2018-01-29       Impact factor: 4.401

Review 5.  The Controversial Role of PD-1 and Its Ligands in Gynecological Malignancies.

Authors:  Oliviero Marinelli; Daniela Annibali; Cristina Aguzzi; Sandra Tuyaerts; Frédéric Amant; Maria Beatrice Morelli; Giorgio Santoni; Consuelo Amantini; Federica Maggi; Massimo Nabissi
Journal:  Front Oncol       Date:  2019-10-15       Impact factor: 6.244

6.  Ten hub genes associated with progression and prognosis of pancreatic carcinoma identified by co-expression analysis.

Authors:  Zhou Zhou; Yian Cheng; Yinan Jiang; Shi Liu; Meng Zhang; Jing Liu; Qiu Zhao
Journal:  Int J Biol Sci       Date:  2018-01-12       Impact factor: 6.580

7.  Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women.

Authors:  Giorgio Bogani; Ciro Pinelli; Valentina Chiappa; Fabio Martinelli; Salvatore Lopez; Antonino Ditto; Francesco Raspagliesi
Journal:  J Gynecol Oncol       Date:  2020-09       Impact factor: 4.401

  7 in total

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