Objective: In this study, we aimed to reveal the prognostic importance
of glucose and C-reactive protein (CRP) together in cervical cancer, both of
which play a critical role in carcinogenesis. Methods: A total of 243
patients who fulfilled the inclusion criteria were included in our study. The
effect of fasting blood glucose (FBG) and C-reactive protein (CRP) on survival
was evaluated separately as a dichotomous variable by finding the optimal cutoff
value. Results: While 31.3% of the patients were in the early stage,
68.7% were in the locally advanced stage. The median follow-up time was 70.2
months (min: 0.57–max: 231). When the locally advanced stage and all stages were
included in the analysis, there was a statistically significant difference
between the 4 groups in both progression free survival (PFS) and overall survival
(OS) (p: 0.026, p: 0.005, p: 0.001 and p:
0.0001, respectively). The HgLc [High fasting blood glucose (FBG) (
When the 2018 GLOBOCAN data in terms of cervical cancer were examined, 569,847 new cases and 311,365 new deaths were reported worldwide. Cervical cancer ranks fourth among female cancers with an incidence rate of 6.6% and a mortality rate of 7.5% [1]. Pathologically, 75% of cervical cancers comprise squamous cell carcinoma (SCC), 25% comprise adenocarcinoma and very few comprise rare types. Surgical treatment is more prominent in early-stage cervical cancer and radiotherapy or chemoradiotherapy is given as adjuvant therapy according to pathological risk factors. Simultaneous chemoradiotherapy is the standard treatment approach in locally advanced cervical cancer [2]. When recurrence occurs, it has a poor prognosis in patients with cervical cancer, since there are not many treatment alternatives in clinical practice. Therefore, various methods and biochemical tumor markers have been continuously investigated to predict cancer recurrence and improve the disease prognosis. Some of these tumor markers are cancer antigen 125 (CA 125), cytokeratin 19 fragment antigen, sugar chain antigen and squamous cell carcinoma antigen (SCC Ag) [3]. However, these have not achieved the desired level of success in clinical practice.
Since human papillomavirus (HPV) triggers the inflammatory microenvironment in the pathogenesis of cervical cancer, it seems wise that inflammatory markers are the focus of attention in cervical cancer. As the relationship between inflammation, innate immunity and cancer has been widely accepted recently, scientists have focused on inflammatory markers. One of these is the acute phase reactant C-reactive protein (CRP), which plays a critical role in acute and chronic inflammation [4]. It is produced extensively in hepatocytes [4]. In addition to its role in the inflammatory response, CRP has been shown to be effective at an important stage in carcinogenesis, such as cell death, since with the inflammatory process, DNA damage occurs, angiogenesis is stimulated, apoptosis is inhibited, and cell proliferation and carcinogenesis occur [5]. Many proinflammatory cytokines such as IL-1, IL-6, tumor necrosis factor-alpha, interferon-gamma and tumor growth factor increase the CRP, which leads to survival, growth, mutation, proliferation, differentiation and migration in tumor cells [6,7]. It has been shown that the serum CRP increases in parallel with carcinogenesis as a reaction of innate immunity [4]. When we look at the literature, CRP has been investigated in various cancers both as a risk factor and as a prognostic factor. High serum CRP levels have been shown to cause a poor prognosis among myeloma [8], esophageal [9], hepatocellular [10], colorectal [11], renal, and lung [12] cancers. After the use of CRP in this way was revealed, its effect on gynecological malignancies was investigated and similar to the above studies, it was revealed that it negatively affects the survival in cancers of the endometrium [13], ovary [14] and the cervix [15,16] and is an independent prognostic risk factor.
It is known that factors associated with glucose metabolism also play a role in carcinogenesis. When the literature is examined, a relationship has been shown between the glucose level or the glycemic index and colorectal [17], breast, stomach [18], ovary [19,20], endometrium [19,20] and cervical cancer [21]. After the indisputable importance of CRP in cancer prognosis was revealed, the effects of CRP/albumin ratio [22] (also known as Glasgow Prognostic Score (GPS)) or LDH and CRP [23] on gynecological malignancies were investigated, and it was emphasized that they had a negative effect on the prognosis.
In this study, we aimed to reveal the prognostic importance of two biochemical markers, combined glucose and CRP, which play a critical role in carcinogenesis in cervical cancer.
The data of patients with histopathologically diagnosed uterine cervical cancer,
who had presented to our clinic between January 2002 and December 2020, were
retrospectively collected from the electronic archive system of our hospital. The
study was evaluated by the Akdeniz University Faculty of Medicine Clinical
Research Ethics Committee and was approved with the decision numbered KAEK-110
dated 23 February 2021. Informed consent forms were obtained from all patients.
The inclusion criteria for the study were as follows: Patients over the age of
18, who had a histopathologically diagnosed cervical cancer of Stage IA-IVA
according to the 2018 FIGO (The International Federation of Gynecology and
Obstetrics) Staging [24] and with a definitive treatment. The exclusion criteria
from the study were: patients with Stage IVB cervical cancer, those who had a
second primary cancer together with cervical cancer, patients whose full
information was not available, those who had undergone fertility-sparing surgery,
those who had prior chemotherapy or radiotherapy treatment, patients with
diabetes mellitus, those with hematological and rheumatological diseases, those
who had received steroid treatment and patients with signs and symptoms of
infection. The histopathological diagnosis of all patients was established by the
experienced gynecopathologists of our hospital. After a detailed systemic and
gynecological examination of each patient, they were examined radiologically for
metastasis. The diagnoses were made, and the treatments of these patients were
arranged by the gynecological oncology specialists. Stage IA1 patients were
treated with conization or simple hysterectomy. Patients with early stages (FIGO
stage IA2, IB1, IB2, IIA) underwent radical hysterectomy
The biochemical tests of all patients were routinely performed before treatment.
Tests were performed on blood samples obtained from the forearm peripheral venous
vessels. For fasting blood glucose (FBG) (mg/dL) levels, blood samples were
obtained from the patients at 7:00–7:30 AM (to avoid circadian rhythm) after 8
hours of fasting, without taking caloric food. FBG measurements were made using
the glucose oxidase method. Patients with a FBG value of 126 mg/dL and above were
not included in the study. The CRP (mg/dL) test was performed in all patients
before treatment. The CRP serum levels were measured by a modified latex-enhanced
immunoturbidimetric assay using a CRP Latex kit (Olympus Life and Material
Science Europe) according to the manufacturer’s instructions. Serum levels of
0–0.5 mg/dL were defined as normal. The manufacturer claims an intraassay
variability between 1.64% and 3.34%. The ROC (receiver operating
characteristic) curve analysis was performed for optimal cut-off values of the
FBG and the CRP levels. While the optimal cut-off value for FBG was 94.5 mg/dL,
the value of 0.9585 mg/dL was found to be the optimal value for CRP. The FBG and
CRP levels were divided into four groups in two groups, and the effects of FBG
and CRP on survival were examined in detail. These groups were: (1) LgLc: Low FBG
(
In our study, variables such as age, body mass index (BMI), smoking status (pack year), stage (early stage, locally advanced), histology (SCC (squamous cell carcinoma), (non-SCC), grade (1–2 and 3), lymph node involvement (yes, no), deep stromal invasion (yes, no), parametrial involvement (yes, no), LVSI (Lymphovascular space invasion) status, surgical margin involvement (yes, no), treatment modality, recurrence (yes, no) and death (yes, no), were used. Cervical cytology, physical examination and pelvic examinations were performed every 3 months in the first 2 years after the treatment, and then every 6 months for the next 3 years and annually after 5 years. During the follow-up, pelvic examination, transvaginal or transabdominal ultrasonography were performed in all cases, and evaluation of serum tumor markers and radiological evaluations (CT and/or Pet CT) when recurrence was suspected. A diagnosis of recurrence was made by biopsies from the suspicious areas, clinically or radiologically. Progression free survival (PFS) was defined as the time from treatment initiation until appearance of recurrence or death. Overall survival (OS) was defined as the time from treatment initiation until last contact with the patient or death.
For the descriptive statistics, the mean, standard deviation, median, min-max
values and frequencies were used by looking at whether there was a normal
distribution or not. The statistical significance between categorical variables
was determined by the Chi-Square (
A total of 243 patients who fulfilled the inclusion criteria were included in
our study. While 31.3% of the patients were in the early stage, 68.7% were in
the locally advanced stage. The median follow-up time was 70.2 months (16 days to
17.6 years). Median FBG was 94 mg/dL (min–max; 67–125), while the median CRP
was 0.93 mg/dL (min–max; 0.01–14.50). In the ROC curve analysis for FBG (Table 1), the AUC (Area Under Curve) was 0.598 mg/dL (95% CI (Confidence Interval);
0.523–0.672), the optimal cut-off level was 94.5 mg/dL (p: 0.012), the
sensitivity was 60.5%, and the specificity was 56.1% (Fig. 1A). For CRP, the
AUC was 0.672 mg/dL (95% CI: 0.603–0.740), the optimal cut-off level was 0.9585
mg/dL (p: 0.001), the sensitivity was 68.6% and the specificity was
63.7% (Fig. 1B). According to the determined optimal cut-off values, FBG was
divided into two groups as

ROC curve analysis for optimal cutoff values of C-reactive protein and fasting blood glucose. (A) ROC curve analysis for optimal cutoff value of C-reactive protein. (B) ROC curve analysis for optimal cutoff value of Fastin blood glucose.
AUC | Confidence Interval (95%) | Cut off (mm) | p value | YI | Sensitivity | Specificity | ||
Lower | Upper | |||||||
FBG | 0.598 | 0.523 | 0.672 | 94.5 | 0.12 | 0.165 | 60.5% | 56.1% |
CRP | 0.672 | 0.603 | 0.740 | 0.9585 | 0.001 | 0.323 | 68.6% | 63.7% |
YI, Youden index; AUC, Area Under Curve; FBG, Fasting Blood Glucose; CRP, C-Reactive Protein. |
FBG (mg/dL) | CRP (mg/dL) | |||||||
n | p value | p value | ||||||
Age | 48 (28–84) | 51 (27–83) | 0.124 | 48 (28–84) | 51.5 (27–85) | 0.161 | ||
BMI | 23.08 (17.3–48.6) | 23.3 (17.3–42.8) | 0.514 | 23.5 (18.1–48.6) | 23.1 (17.3–42.8) | 0.809 | ||
Smoking (pack year) | 12 (0–45) | 12 (0–40) | 0.656 | 12 (0–45) | 12.5 (0–40) | 0.502 | ||
Stage | ||||||||
Early | 76 (31.3%) | 47 (19.3%) | 29 (11.9%) | 0.014 | 60 (24.7%) | 16 (6.6%) | 0.001 | |
Locally advance | 167 (68.7) | 75 (30.9%) | 92 (37.9%) | 67 (27.6%) | 100 (41.2%) | |||
Histology | ||||||||
Scc | 183 (75.3%) | 97 (39.9%) | 86 (35.4%) | 0.127 | 95 (39.1%) | 88 (36.2%) | 0.848 | |
Non Scc | 60 (24.7%) | 25 (10.3%) | 35 (14.4%) | 32 (13.2%) | 28 (11.5%) | |||
Grade | ||||||||
1–2 | 198 (81.5%) | 102 (42%) | 96 (39.5%) | 0.392 | 113 (46.5%) | 85 (35%) | 0.003 | |
3 | 45 (18.5%) | 20 (8.2%) | 25 (10.3%) | 14 (5.8%) | 31 (12.8%) | |||
Lymph node involvement | ||||||||
Yes | 27 (21.6) | 7 (5.6%) | 20 (16%) | 0.003 | 12 (9.6%) | 15 (12%) | 0.081 | |
No | 98 (78.4) | 59 (47.2%) | 39 (31.2%) | 64 (51.2%) | 34 (27.2%) | |||
Deep invasion | ||||||||
Yes | 31 (27.7%) | 14 (12.5%) | 17 (15.2%) | 0.170 | 19 (17%) | 12 (10.7%) | 0.755 | |
No | 81 (72.3%) | 50 (44.6%) | 31 (27.7%) | 54 (48.2%) | 27 (24.1%) | |||
LVSI | ||||||||
Yes | 87 (47.3%) | 42 (22.8%) | 45 (24.5%) | 0.388 | 41 (22.3%) | 46 (25%) | 0.032 | |
No | 97 (52.7%) | 53 (28.8%) | 44 (23.9%) | 61 (33.2%) | 36 (19.6%) | |||
Parametrial involvement | ||||||||
Yes | 15 (13.4%) | 6 (5.4%) | 9 (8%) | 0.246 | 8 (7.1%) | 7 (6.3%) | 0.457 | |
No | 97 (86.6%) | 58 (51.8%) | 39 (34.8%) | 65 (58%) | 32 (28.6%) | |||
Surgical margin | ||||||||
Yes | 6 (5.4%) | 3 (2.7%) | 3 (2.7%) | 1.000 | 3 (2.7%) | 3 (2.7%) | 0.418 | |
No | 106 (94.6%) | 60 (53.6%) | 46 (41.1%) | 70 (62.5%) | 36 (32.1%) | |||
Treatment | ||||||||
Surgery | 40 (16.5%) | 27 (11.1%) | 13 (5.3%) | 0.160 | 29 (11.9%) | 11 (4.5%) | 0.011 | |
Surgery + adj RT | 31 (12.8%) | 16 (6.6%) | 15 (6.2%) | 18 (7.4%) | 13 (5.3%) | |||
Surgery + adj CRT | 63 (25.9%) | 31 (12.8%) | 32 (13.2%) | 34 (14%) | 29 (11.9%) | |||
Pr. CRT | 103 (42.4%) | 45 (18.5%) | 58 (23.9%) | 45 (18.5%) | 58 (23.9%) | |||
Pr. CT | 6 (2.5%) | 3 (1.2%) | 3 (1.2%) | 1 (0.4%) | 5 (2.1%) | |||
Recurrence | ||||||||
Yes | 117 (48.1%) | 50 (20.6%) | 67 (27.6%) | 0.025 | 43 (17.7%) | 74 (30.5%) | 0.0001 | |
No | 126 (51.9%) | 72 (29.6%) | 54 (22.2%) | 84 (34.6%) | 42 (17.3%) | |||
Death | ||||||||
Yes | 86 (35.4%) | 34 (14.0%) | 52 (21.4%) | 0.014 | 27 (11.1%) | 59 (24.3%) | 0.0001 | |
No | 157 (64.6%) | 88 (36.2%) | 69 (28.4%) | 100 (41.2%) | 57 (23.5%) | |||
Follow up (month) | 70.2 (0.57–231) | |||||||
Median (min–max) | ||||||||
FBG, Fasting blood glucose; BMI, Body Mass Index; LVSI, Lymphovascular Space
Invasion; Scc, Squamous cell carcinoma; Adj RT, Adjuvant Radiotherapy; Adj CRT,
Adjuvant Chemoradiotherapy; Pr. CRT, Primery Chemoradiotherapy; Pr. CT, Primery
Chemotherapy. Note: Statistically significant p values are numbered in bold. |
In the Kaplan-Meier survival analysis, there was no difference for the four groups of FBG and CRP (1. LgLc, 2. LgHc, 3. HgLc, and 4. HgHc) with regard to PFS and OS at early stage (p: 0.494 and p: 0.641, respectively) (Fig. 2A,B). There was a statistically significant difference in both PFS and OS between the 4 groups at the locally advanced stage (p: 0.026 and p: 0.005, respectively) (Fig. 2C,D). However, in the post-hoc Bonferroni analysis performed between the four groups, there was a statistically significant difference between the LgLc - LgHc groups (p: 0.015), between the LgLc - HgLc groups (p: 0.008), and between the LgLc - HgHc groups (p: 0.003), for PFS. For OS, there was a statistically significant difference between the LgLc - LgHc groups and the LgLc - HgHc groups (p: 0.007 and p: 0.0001, respectively) (Supplementary Table 1). When all stages were included, there was a significant difference between the four groups in both PFS and OS (p: 0.001 and p: 0.0001, respectively) (Fig. 2E,F). In the post-hoc Bonferroni analysis, there was a statistically significant difference between the LgLc - LgHc groups (p: 0.0001), between the LgLc - HgLc groups (p: 0.015), between the LgLc - HgHc groups (p: 0.0001) and the HgLc - HgHc groups (p: 0.030) for PFS. For OS, there was a statistically significant difference between the LgLc - LgHc groups, the LgLc - HgHc groups and the HgLc - HgLc groups (p: 0.001, p: 0.0001 and p: 0.001, respectively) (Supplementary Table 1).

Kaplan Meıer’s survival analysis for combined FBG and CRP groups in cervical cancer according to stages. (A) Progression-free survival analysis of combined FBG and CRP groups in patients with early stage cervical cancer. (B) Overall survival analysis of combined FBG and CRP groups in patients with early stage cervical cancer. (C) Progression-free survival analysis of combined FBG and CRP groups in patients with locally advance stage cervical cancer. (D) Overall survival analysis of combined FBG and CRP groups in patients with locally advance stage cervical cancer. (E) Progression-free survival analysis of combined FBG and CRP groups in patients with all stage cervical cancer. (F) Overall survival analysis of combined FBG and CRP groups in patients with all stage cervical cancer.
In the Cox proportional hazard model analysis, it was found that both high FBG
(94.5 mg/dL) and high CRP (
Progression free survival | ||||||||||||
Early stage | Locally advance stage | All stage | ||||||||||
Univariate | p value | Multivariate | p value | Univariate | p value | Multivariate |
p value | Univariate | p value | Multivariate |
p value | |
HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | |||||||
FBG ( |
0.78 (0.26–2.34) | 0.662 | 1.53 (1.03–2.27) | 0.035 | 1.76 (1.14–2.71) | 0.010 | ||||||
CRP ( |
2.10 (0.70–6.30) | 0.182 | 1.45 (0.96–2.18) | 0.077 | 2.38 (1.63–3.47) | 0.0001 | ||||||
LgLc | 1 | 1 | 1 | 1 | 1 | |||||||
LgHc | 2.37 (0.59–9.52) | 0.222 | 2.29 (1.14–4.59) | 0.019 | 2.18 (1.07–4.45) | 0.031 | 3.26 (1.81–5.87) | 0.0001 | 1.89 (1.02–3.49) | 0.040 | ||
HgLc | 0.78 (0.19–3.14) | 0.733 | 2.57 (1.24–5.29) | 0.010 | 2.86 (1.37–6.1) | 0.005 | 2.12 (1.15–391) | 0.016 | 2.05 (1.10–3.82) | 0.023 | ||
HgHc | 1.50 (0.30–7.48) | 0.615 | 2.63 (1.34–5.14) | 0.005 | 2.26 (1.14–4.48) | 0.019 | 3.72 (2.11–6.55) | 0.0001 | 1.91 (1.05–3.46) | 0.032 | ||
Abbreviations: FBG, fasting blood glucose; CI, confidence interval; HR, hazard
ratio; LgLc, Low FBG ve Low CRP; LgHc, Low FBG ve High CRP; HgLc, High FBG ve Low
CRP; HgHc, High FBG ve High CRP. a: For progression free survival, age, grade (1–2 or 3) and histology (Scc or non Scc) were used in multivariate analysis at the local advance stage; b: Age, BMI, stage (early or locally advance), grade (1–2 or 3), histology (Scc or non Scc) were used in multivariate analysis for overal survival in all stages. Note: Statistically significant p values are numbered in bold. |
Overall survival | ||||||||||||
Early stage | Locally advance stage | All stage | ||||||||||
Univariate | p value | Multivariate | p value | Univariate | p value | Multivariate |
p value | Univariate | p value | Multivariate |
p value | |
HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | HR (95% CI) | |||||||
FBG ( |
0.77 (0.22–2.64) | 0.682 | 1.72 (1.07–2.76) | 0.024 | 1.72 (1.11–2.63) | 0.015 | ||||||
CRP ( |
1.44 (0.38–5.46) | 0.586 | 2.06 (1.22–3.47) | 0.006 | 2.92 (1.85–4.61) | 0.0001 | ||||||
LgLc | 1 | 1 | 1 | 1 | 1 | |||||||
LgHc | 0.72 (0.08–5.98) | 0.762 | 3.35 (1.26–8.86) | 0.015 | 2.65 (0.98–7.16) | 0.054 | 3.19 (1.54–6.50) | 0.002 | 1.66 (0.78–3.55) | 0.187 | ||
HgLc | 0.47 (0.09–2.35) | 0.363 | 2.99 (1.07–8.35) | 0.036 | 2.95 (1.04–8.40) | 0.042 | 1.82 (0.84–3.93) | 0.125 | 1.56 (0.71–3.40) | 0.262 | ||
HgHc | 1.59 (0.32–7.90) | 0.569 | 4.68 (1.83–11.98) | 0.001 | 3.63 (1.39–9.47) | 0.008 | 4.78 (2.43–9.41) | 0.0001 | 2.34 (1.14–4.78) | 0.019 | ||
Abbreviations: CI, confidence interval; FBG, fasting blood glucose; HR, hazard
ratio; LgLc, Low FBG ve Low CRP; LgHc, Low FBG ve High CRP; HgLc, High FBG ve Low
CRP; HgHc, High FBG ve High CRP. a: For overall survival, age, grade (1–2 or 3) and histology (Scc or non Scc) were used in multivariate analysis at the local advance stage; b: Age, BMI, stage (early or locally advance), grade (1–2 or 3), histology (Scc or non Scc) were used in multivariate analysis for overal survival in all stages. Note: Statistically significant p values are numbered in bold. |
In the univariate analysis carried out for OS in the locally advanced stage, it was found that the high FBG and high CRP levels had a negative effect on OS. The same effect was found when all stages were included in the analysis (Table 4). The HgHc group was found to have the worst effect on OS in the locally advanced stage (HR: 4.68 (95% CI; 1.83–11.98), p: 0.0001). In the multivariable analysis, the HgHc group also had the worst results for OS (HR: 3.63 (95% CI; 1.39–9.47), p: 0.008 (Table 4). When all stages were included in the analysis for OS, it was found that the LgHc and HgHc groups adversely affected the survival compared to the reference group in the univariate analysis (HR: 3.19 (95% CI; 1.54–6.50), p: 0.002 and HR: 4.78 (95% CI: 2.43–9.41), p: 0.0001, respectively). In the multivariate analysis performed for all stages (by adding age (continuous), BMI (continuous), stage (early or locally advanced), grade (1–2 or 3), histology (SCC or non-SCC) variables), only the HgHc group was found to be an independent prognostic risk factor (HR: 2.34 (95% CI; 1.14–4.78), p: 0.019).
In this first study in the literature in which FBG and CRP, two biochemical
markers known to have an important role in cancer pathogenesis, were evaluated
together, and it was found that the combined high FBG (
Recently, the importance of glucose and CRP levels in gynecological cancers has
increased in the literature, and it has been observed that a large number of
articles have been published in the last two decades. After examining glucose and
CRP alone, they were evaluated together with different biochemical markers and it
has been attempted to find prognostic markers with practical and prognostic value
in cervical cancer for clinicians. For example, the combination of CRP and LDH
(Lactate Dehydrogenase) in cervical cancer [23], the effect of CRP and albumin
combination on gynecological cancers [22] and the prognostic value of glucose and
SCCA (squamous cell carcinoma antigen) together in cervical cancer [25] can lead
to a better prognosis prediction. In the light of the above studies, our thought
of predicting the prognosis of cervical cancer with the combination of FBG and
CRP may be a reasonable assumption, because we think that these two biochemical
markers, which are routinely requested in clinical practice every day and which
are ubiquitous and do not require advanced laboratory support, can help
clinicians in cervical cancer. However, although there are many studies stating
that glucose has a negative effect on the prognosis of cervical cancer, there are
also studies stating the opposite. For example, in diabetic patients with poor
glycemic control (hemoglobin A1c [HbA1c]
It is seen that different values are used for glucose in the literature. In our study, we found that when we took the FBG cut-off value of 94.5 mg/dL, it adversely affected the survival (both PFS and OS) in locally advanced stage, and this adverse effect continued when all stages were evaluated together. These results are similar to previously published results. When we evaluated FBG and CRP in combination, we found that high levels of both (HgHc group) caused approximately a five-fold worse prognosis, especially in OS, compared to the LgLc group. It has been clearly demonstrated that using glucose and CRP together rather than using them alone is a very good predictor of the prognostic risk factor in cervical cancer.
Today, human papillomavirus (HPV) infection is seen in almost all patients with
cervical cancer, and as a result of this chronic inflammation, inflammatory
mediators are thought to increase in cervical cells, creating a suitable
microenvironment for the proliferation, survival, transformation, invasion and
metastasis of malignant cells [35]. Different cytokines produced by the tumor
cause neutrophils to accumulate in the environment and increase the synthesis of
cytokines and cytotoxic mediators such as interleukin (IL)-1, IL-6, tumor
necrosis factor-
Considering the limitations of our study, a bias can naturally be seen in patient selection since the study had a retrospective design. In addition, the fact that it was a single-center study, and the relatively low number of patients were other limitations of our study. Another limitation is that there are no randomized controlled studies on this subject.
In conclusion, we proved that combined high serum FBG and CRP levels in cervical cancer, especially in locally advanced stage, negatively affect the PFS and OS and are independent prognostic risk factors affecting survival. For each cervical cancer patient, the pre-treatment serum FBG and CRP levels should be carefully evaluated together. The vital importance of strict preoperative glycemic control for these patients should be considered.
MSB and ÖB conceived and designed the study; MSB, ÖB and HAT performed the study; MSB, SD and TS analyzed the data; HAT, SD and TS contributed materials and evaluation; MSB wrote the paper.
All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Akdeniz University Faculty of Medicine Clinical Research (approval number: KAEK 110).
Thanks to all the peer reviewers for their opinions and suggestions.
This research received no external funding.
The authors declare no conflict of interest.