The association between serum squamous cell carcinoma antigen and recurrence and survival of patients with cervical squamous cell carcinoma: A systematic review and meta-analysis

Tumor biomarkers for diagnosis, prognosis and targeted therapy

Tumor biomarkers, the substances which are produced by tumors or the body's responses to tumors during tumorigenesis and progression, have been demonstrated to possess critical and encouraging value in screening and early diagnosis, prognosis prediction, recurrence detection, and therapeutic efficacy monitoring of cancers. Over the past decades, continuous progress has been made in exploring and discovering novel, sensitive, specific, and accurate tumor biomarkers, which has significantly promoted personalized medicine and improved the outcomes of cancer patients, especially advances in molecular biology technologies developed for the detection of tumor biomarkers. Herein, we summarize the discovery and development of tumor biomarkers, including the history of tumor biomarkers, the conventional and innovative technologies used for biomarker discovery and detection, the classification of tumor biomarkers based on tissue origins, and the application of tumor biomarkers in clinical cancer management. In particular, we highlight the recent advancements in biomarker-based anticancer-targeted therapies which are emerging as breakthroughs and promising cancer therapeutic strategies. We also discuss limitations and challenges that need to be addressed and provide insights and perspectives to turn challenges into opportunities in this field. Collectively, the discovery and application of multiple tumor biomarkers emphasized in this review may provide guidance on improved precision medicine, broaden horizons in future research directions, and expedite the clinical classification of cancer patients according to their molecular biomarkers rather than organs of origin.

Accuracy of surveillance serum squamous cell carcinoma antigen for cervical cancer recurrence after definitive chemoradiation

OBJECTIVE

Recurrence remains a significant clinical problem for patients with cervical cancer, and early detection may improve outcomes. Serum squamous cell carcinoma antigen (SCCA) is a biomarker of prognosis and response to chemoradiotherapy. We hypothesized that elevated serum SCCA during surveillance is sensitive and specific for recurrence.

METHODS

Pre-treatment and follow-up serum SCCA from patients treated with definitive-intent radiotherapy were measured via enzyme-linked immunosorbent assay in a Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory and analyzed retrospectively. Follow-up SCCA was defined as the value closest to recurrence, or as last available for patients without recurrence. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of follow-up SCCA for recurrence was determined for the whole cohort (Cohort 1), for patients with elevated (Cohort 2), and normal pre-treatment SCCA (Cohort 3). Patterns of failure were also evaluated.

RESULTS

Of 227 patients in Cohort 1, 23% experienced recurrence, and 17% died of cervical cancer. Mean follow-up SCCA was 0.9 (±2.5) for patients with no recurrence and 6.0 (±18.7) for patients with recurrence (p=0.02). Sensitivity, specificity, PPV, and NPV of follow-up SCCA for recurrence in Cohort 1 were 38.5%, 97.1%, 80%, and 84.2%, and for patients in Cohort 2 were 54.5%, 95%, 78.3%, and 86.5%, respectively. Four of 86 patients in Cohort 3 had an elevated follow-up SCCA, two of these at the time of recurrence. Elevated pre-treatment SCCA and follow-up SCCA were associated with isolated pelvic recurrence.

CONCLUSIONS

Surveillance serum SCCA has high specificity and NPV for recurrence, and may be of limited utility in patients with normal pre-treatment SCCA.

Average log change rate of pretreatment squamous cell carcinoma antigen after concurrent chemoradiotherapy in stage IIIC1 cervical squamous cell carcinoma

We aimed to determine whether pretreatment squamous cell carcinoma antigen (SCC-Ag) levels and the average logarithmic change in SCC-Ag levels (Δ log SCC-Ag Δ time ) after concurrent chemoradiotherapy (CCRT) could predict treatment outcomes in patients with stage IIIC1 cervical squamous cell carcinoma (SCC). We analyzed 168 patients with stage IIIC1 cervical SCC who underwent primary CCRT and collected data on age, local extension, treatment details, hematological parameters, and tumor markers such as SCC-Ag and carcinoembryonic antigen 21-1 (Cyfra). Predictive performances of pretreatment SCC-Ag levels andΔ log SCC-Ag Δ time were assessed using receiver operating characteristic curves. Survival analysis was performed using the Cox regression model and Kaplan-Meier plots. The combination of pretreatment SCC-Ag levels andΔ log SCC-Ag Δ time showed higher area under the curve values than pretreatment SCC-Ag levels alone (area under the curve; 95% confidence interval [CI] 0.708 [0.581-0.836] vs. 0.666 [0.528-0.804], respectively). Pretreatment SCC-Ag (≥ 5 ng/ml and Cyfra levels (≥ 3.15 ng/ml) andΔ log SCC-Ag Δ time (≥ - 1.575) were significant predictors of disease-specific survival. The 5-year disease-specific survival rates significantly differed among the low-, intermediate-, and high-risk groups. Risk stratification using both pretreatment SCC-Ag levels andΔ log SCC-Ag Δ time may predict treatment outcomes of patients with stage IIIC1 SCC.

Contrast-enhanced ultrasound combined with elastic imaging for predicting the efficacy of concurrent chemoradiotherapy in cervical cancer: a feasibility study

Objective

Contrast-enhanced ultrasound (CEUS) and elastography are of great value in the diagnosis of cervical cancer (CC). However, there is limited research on the role of contrast-enhanced ultrasound combined with elastography in predicting concurrent chemoradiotherapy and disease progression for cervical cancer. The purpose of this study was to evaluate the feasibility of contrast-enhanced ultrasound combined with elastography and tumor prognosis.

Methods

MRI was performed on 98 patients with cervical cancer before and after treatment. Before, during, and 1 week after the treatment, contrast-enhanced ultrasound and elastography were conducted, and the alterations of ultrasound-related parameters at each time point of the treatment were compared. The correlation between contrast-enhanced ultrasound combined with elastic imaging and oncological outcome was assessed.

Results

There was no notable difference in overall clinical data between the complete remission (CR) group and the partial remission (PR) group (P>0.05). Before treatment, there were no statistically significant differences in elasticity score, time to peak (TTP), and peak intensity (PI) between the CR group and the PR group. However, there were no statistical differences in elastic strain ratio (SR) and area under the curve (AUC) before and after treatment between the CR group and the PR group, and there were also no statistical differences in the elastic strain ratio (SR) and area under the curve (AUC) of contrast-enhanced ultrasound parameters between the CR group and the PR group before and during treatment. There was a statistically significant difference after treatment (P<0.05).At present, the follow-up of patients is about 1 year, 7 patients were excluded due to loss to follow-up, and 91 patients were included in the follow-up study. Through the review of the cases and combined with MRI (version RECIST1.1) and serology and other related examinations, if the patient has a new lesion or the lesion is larger than before, the tumor marker Squamous cell carcinoma antigen (SCC-Ag) is significantly increased twice in a row, and the patient is divided into progressive disease (PD). Those who did not see significant changes were divided into stable disease (SD) group. The relationship between clinical characteristics, ultrasound parameters and disease progression in 91 patients was compared. There was no significant difference in age and clinical stage between the two groups (P>0.05), but there was a significant difference in the elevation of tumor marker squamous cell carcinoma antigen (SCC-Ag) between the two groups (P<0.05).With the growth of tumors, TTP decreased, elasticity score and PI increased, and the difference was statistically significant (P<0.05). The AUC of SCC-Ag was 0.655, the sensitivity was 85.3%, and the specificity was 45.6%.The AUC, sensitivity and specificity of ultrasound parameters combined with SCC-Ag predicted disease progression was 0.959, 91.2% and 94.8%.

Conclusions

Using contrast-enhanced ultrasound and elastography to predict the efficacy and disease progression of concurrent chemoradiotherapy is feasible. In addition, the combination of SCC-Ag with contrast-enhanced ultrasound and elastography can further enhance the efficiency of predicting disease progression.

Current analysis of the survival implications for minimally invasive surgery in the treatment of early-stage cervix cancer

Early-stage cervical cancer (ESCC) is managed with radical hysterectomy, a procedure that can be performed either via open surgery or minimally invasive surgery (MIS), the latter of which is accomplished via traditional laparoscopy or robotic-assisted surgery. Previously, MIS was routinely incorporated into the management of ESCC due to the approach's reduced operative morbidity and truncated hospital stay duration, but more recent clinical evidence has since impugned the efficacy of MIS because of the reportedly inferior disease-free survival and overall survival outcomes compared to open surgery. However, additional studies have documented equivalent outcomes among the various surgical modalities, suggesting further exploration of clinical factors as we endeavor to conclusively determine the standard of care for patients diagnosed with ESCC.

Analysis of influencing factors of serum SCCA elevation in 309 CAP patients with normal CEA,NSE and CYFRA21-1

Introduction

Squamous cell carcinoma antigen (SCCA) is one of the auxiliary diagnostic indicators of lung squamous cell carcinoma, and an increase in serum SCCA can predict the occurrence of lung squamous cell carcinoma. However, whether SCCA is also elevated in pneumonia patients without malignancy is still not clear. Therefore, we studied influencing factors of elevated serum SCCA in patients with community-acquired pneumonia.

Methods

We retrospectively enrolled 309 patients who were admitted to the Respiratory department with normal serum Carcinoembryonic antigen (CEA), Neuron specific enolase (NSE), and Cytokeratin 19 fragment (CYFRA21-1) level and were diagnosed with community-acquired pneumonia (CAP). The patients' serum SCCA level, body temperature, age, sex, white blood cell (WBC) count, hypersensitive C-reactive protein (Hs-CRP) level, and serum amyloid A (SAA) were recorded. Logistic regression models were used to analyze the risk factors of SCCA elevation. The dose-response relationship between temperature and risk of SCCA increase was analyzed using Restricted cubic splines (RCS).

Results

Of the 309 patients, 143(46.3%) showed elevated SCCA levels. The logistic regression analysis revealed a significant influence of age and body temperature on elevated SCCA (P<0.05) levels. For every one-year increase in age, the probability of elevated SCCA decreased by 3% [OR=0.97,95%CI:0.95,0.99].For every 1°C increase in body temperature, the risk of elevated SCCA increased by 2.75 times [OR=3.75,95%CI:2.55,5.49].The patients were sorted into quartiles based on body temperature. Compared with patients in the Q1 of body temperature group, patients in the Q3 group were at 7.92 times higher risk [OR=7.92, 95%CI:3.27,19.16].and the risk of elevated SCCA was increased by 22.85 times in the Q4 group [OR=23.85,95%CI:8.38,67.89] after adjusting for age, gender, Hs-CRP, SAA, and WBC. RCS analysis showed there was a linear relationship between temperature index and risk of elevated SCCA.

Conclusion

In summary, for CAP patients with normal CEA,NSE and CYFRA21-1 level, age and body temperature are influencing factors of SCCA elevation. Higher body temperature has a strong association with the occurrence of SCCA elevation.

Optimal cisplatin cycles in locally advanced cervical carcinoma patients treated with concurrent chemoradiotherapy

PURPOSE

To analyze the effect of cisplatin cycles on the clinical outcomes of patients with locally advanced cervical cancer (LACC) treated with concurrent chemoradiotherapy (CCRT).

METHODS

This study included 749 patients with LACC treated with CCRT between January 2011 and December 2015. A receiver operating characteristic (ROC) curve was used to analyze the optimal cut-off of cisplatin cycles in predicting clinical outcomes. Clinicopathological features of the patients were compared using the Chi-square test. Prognosis was assessed using log-rank tests and Cox proportional hazard models. Toxicities were compared among different cisplatin cycle groups.

RESULTS

Based on the ROC curve, the optimal cut-off of the cisplatin cycles was 4.5 (sensitivity, 64.3%; specificity, 54.3%). The 3-year overall, disease-free, loco-regional relapse-free, and distant metastasis-free survival for patients with low-cycles (cisplatin cycles < 5) and high-cycles (≥ 5) were 81.5% and 89.0% (P < 0.001), 73.4% and 80.1% (P = 0.024), 83.0% and 90.8% (P = 0.005), and 84.9% and 86.8% (P = 0.271), respectively. In multivariate analysis, cisplatin cycles were an independent prognostic factor for overall survival. In the subgroup analysis of high-cycle patients, patients who received over five cisplatin cycles had similar overall, disease-free, loco-regional relapse-free, and distant metastasis-free survival to patients treated with five cycles. Acute and late toxicities were not different between the two groups.

CONCLUSION

Cisplatin cycles were associated with overall, disease-free, and loco-regional relapse-free survival in LACC patients who received CCRT. Five cycles appeared to be the optimal number of cisplatin cycles during CCRT.

Postoperative serum squamous cell carcinoma antigen and carcinoembryonic antigen predict overall survival in surgical patients with esophageal squamous cell carcinoma

Background

Tumor markers are routinely used in clinical practice. However, for resectable patients with esophageal squamous cell carcinoma (ESCC), they are applied infrequently as their prognostic significance is incompletely understood.

Methods

This historical cohort study included 2769 patients with resected ESCC from 2011 to 2018 in a high-risk area in northern China. Their clinical data were extracted from the Electronic Medical Record. Survival analysis of eight common tumor markers was performed with multivariable Cox proportional hazards regressions.

Results

With a median follow-up of 39.5 months, 901 deaths occurred. Among the eight target markers, elevated postoperative serum SCC (Squamous cell carcinoma antigen) and CEA (Carcinoembryonic antigen) predicted poor overall survival (SCC HRadjusted: 2.67, 95% CI: 1.70-4.17; CEA HRadjusted: 2.36, 95% CI: 1.14-4.86). In contrast, preoperative levels were not significantly associated with survival. Stratified analysis also demonstrated poorer survival in seropositive groups of postoperative SCC and CEA within each TNM stage. The above associations were generally robust using different quantiles of concentrations above the upper limit of the clinical normal range as alternative cutoffs. Regarding temporal trends of serum levels, SCC and CEA were similar. Their concentrations fell rapidly after surgery and thereafter remained relatively stable.

Conclusion

Postoperative serum SCC and CEA levels predict the overall survival of ESCC surgical patients. More importance should be attached to the use of these markers in clinical applications.

New mechanisms and biomarkers of lymph node metastasis in cervical cancer: reflections from plasma proteomics

OBJECTIVE

Lymph node metastasis (LNM) and lymphatic vasculature space infiltration (LVSI) in cervical cancer patients indicate a poor prognosis, but satisfactory methods for diagnosing these phenotypes are lacking. This study aimed to find new effective plasma biomarkers of LNM and LVSI as well as possible mechanisms underlying LNM and LVSI through data-independent acquisition (DIA) proteome sequencing.

METHODS

A total of 20 cervical cancer plasma samples, including 7 LNM-/LVSI-(NC), 4 LNM-/LVSI + (LVSI) and 9 LNM + /LVSI + (LNM) samples from a cohort, were subjected to DIA to identify differentially expressed proteins (DEPs) for LVSI and LNM. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for DEP functional annotation. Protein-protein interaction (PPI) and weighted gene coexpression network analysis (WGCNA) were used to detect new effective plasma biomarkers and possible mechanisms.

RESULTS

A total of 79 DEPs were identified in the cohort. GO and KEGG analyses showed that DEPs were mainly enriched in the complement and coagulation pathway, lipid and atherosclerosis pathway, HIF-1 signal transduction pathway and phagosome and autophagy. WGCNA showed that the enrichment of the green module differed greatly between groups. Six interesting core DEPs (SPARC, HPX, VCAM1, TFRC, ERN1 and APMAP) were confirmed to be potential plasma diagnostic markers for LVSI and LNM in cervical cancer patients.

CONCLUSION

Proteomic signatures developed in this study reflected the potential plasma diagnostic markers and new possible pathogenesis mechanisms in the LVSI and LNM of cervical cancer.

Prediction of Recurrent Cervical Cancer in 2-Year Follow-Up After Treatment Based on Quantitative and Qualitative Magnetic Resonance Imaging Parameters: A Preliminary Study

PURPOSE

This study investigated predictors of cervical cancer (CC) recurrence from native T1 mapping, conventional imaging, and clinicopathologic metrics.

PATIENTS AND METHODS

In total, 144 patients with histopathologically confirmed CC (90 with and 54 without surgical treatment) were enrolled in this prospective study. Native T1 relaxation time, conventional imaging, and clinicopathologic characteristics were acquired. The association of quantitative and qualitative parameters with post-treatment tumor recurrence was assessed using univariate and multivariate Cox proportional hazard regression analyses. Independent risk factors were combined into a model and individual prognostic index equation for predicting recurrence risk. The receiver operating characteristic (ROC) curve determined the optimal cutoff point.

RESULTS

In total, 12 of 90 (13.3%) surgically treated patients experienced tumor recurrence. Native T1 values (X1) [hazard ratio (HR) 1.008; 95% confidence interval (CI) 1.001-1.016], maximum tumor diameter (X2) (HR 1.065; 95% CI 1.020-1.113), and parametrial invasion (X3) (HR 3.930; 95% CI 1.013-15.251) were independent tumor recurrence risk factors. The individual prognostic index (PI) of the established recurrence risk model was PI = 0.008X1 + 0.063X2 + 1.369X3. The area under the ROC curve (AUC) of the Cox regression model was 0.923. A total of 20 of 54 (37.0%) non-surgical patients experienced tumor recurrence. Native T1 values (X1) (HR 1.012; 95% CI 1.007-1.016) and lymph node metastasis (X2) (HR 4.064; 95% CI 1.378-11.990) were independent tumor recurrence risk factors. The corresponding PI was calculated as follows: PI = 0.011X1 + 1.402X2; the Cox regression model AUC was 0.921.

CONCLUSIONS

Native T1 values combined with conventional imaging and clinicopathologic variables could facilitate the pretreatment prediction of CC recurrence.

A prognostic model using FIGO 2018 staging and MRI-derived tumor volume to predict long-term outcomes in patients with uterine cervical squamous cell carcinoma who received definitive radiotherapy

BACKGROUND

Uterine cervical carcinoma is a severe health threat worldwide, especially in China. The International Federation of Gynecology and Obstetrics (FIGO) has revised the staging system, emphasizing the strength of magnetic resonance imaging (MRI). We aimed to investigate long-term prognostic factors for FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma following definitive radiotherapy and establish a prognostic model using MRI-derived tumor volume.

METHODS

Patients were restaged according to the FIGO 2018 staging system and randomly grouped into training and validation cohorts (7:3 ratio). Optimal cutoff values of squamous cell carcinoma antigen (SCC-Ag) and tumor volume derived from MRI were generated for the training cohort. A nomogram was constructed based on overall survival (OS) predictors, which were selected using univariate and multivariate analyses. The performance of the nomogram was validated and compared with the FIGO 2018 staging system. Risk stratification cutoff points were generated, and survival curves of low-risk and high-risk groups were compared.

RESULTS

We enrolled 396 patients (training set, 277; validation set, 119). The SCC-Ag and MRI-derived tumor volume cutoff values were 11.5 ng/mL and 28.85 cm³, respectively. A nomogram was established based on significant prognostic factors, including SCC-Ag, poor differentiation, tumor volume, chemotherapy, and FIGO 2018 stage. Decision curve analysis indicated that the net benefits of our model were higher. The high-risk group had significantly shorter OS than the low-risk group in both the training (p < 0.0001) and validation sets (p = 0.00055).

CONCLUSIONS

Our nomogram predicted long-term outcomes of patients with FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma. This tool can assist gynecologic oncologists and patients in treatment planning and prognosis.

Unilateral ovarian recurrence 5 years after hysterectomy for microinvasive squamous cervical cancer stage IA1: a rare case report

BACKGROUND

Ovarian metastasis or recurrence of cervical microinvasive squamous cell carcinoma (SCC) is very rare. We report a case of unilateral ovarian recurrence 5 years after hysterectomy for the SCC stage IA1 without lymph vascular space invasion (LVSI).

CASE PRESENTATION

A 49-year-old female patient suffered from a dull pain in the left lower abdomen for 3 months. And five years ago, she received a laparoscopic hysterectomy for the treatment of stage IA1 (without LVSI) SCC of the cervix. The level of squamous cell carcinoma antigen (SCC-Ag) in serum was significantly elevated (10.60 ng/mL). Pelvic magnetic resonance imaging (MRI) revealed a left ovarian solid tumor measuring 5.5 × 3.9 × 5.6 cm with heterogeneous enhancement. During laparotomy, the left ovarian tumor was measured about 5.0 × 4.5 × 3.0 cm and seemed densely adherent to the posterior peritoneal wall, including the left ureter. The tumor and pelvic lymph node were carefully removed. Postoperative anatomy revealed a solid mass with a greyish-white section. Postoperative pathology showed recurrent moderately differentiated ovarian SCC with negative pelvic lymph nodes. Immunohistochemistry showed that the tumor cells were positive for P16, P63, P40, and CK5/6 markers, and the positive rate of Ki67 was about 80%.

CONCLUSIONS

Ovary preservation is reasonable and appropriate in young patients with microinvasive SCC. Ovarian recurrence is rare, but gynecological oncologists should not overlook its possibility. The serum SCC-Ag is an important indicator for monitoring postoperative disease progression.

Relationships between squamous cell carcinoma antigen and cytokeratin 19 fragment values and renal function in oral cancer patients

Squamous cell carcinoma antigen (SCC-Ag) and cytokeratin 19 fragment (CYFRA) are used to screen and monitor oral cancer patients. However, recent studies have reported that tumour markers become elevated as renal function decreases, regardless of tumour progression. A retrospective study was performed of 423 oral cancer patients who underwent blood testing for these tumour markers and other blood analytes during a 10-year period. The values of SCC-Ag and CYFRA increased significantly with decreasing renal function (P < 0.01), and the values were abnormal at a median 2.6 ng/ml for SCC-Ag and 4.7 ng/ml for CYFRA in the group with estimated glomerular filtration rate (eGFR) values of< 30 ml/min/1.73 m². The factors that were related to the variation in tumour markers were albumin and creatinine. The cut-off values of eGFR were 59.7 ml/min/1.73 m² for SCC-Ag and 63.6 ml/min/1.73 m² for CYFRA, and the cut-off age when the tumour markers might rise due to the effect of renal function were 72 years for SCC-Ag and 73 years for CYFRA. In conclusion, decreased renal function should be taken into account when evaluating tumour markers in oral cancer. In addition, tumour markers are likely to be overestimated in patients over the age of 72-73 years.

SCC Antigen Concentrations in Fine-Needle Aspiration Samples to Detect Cervical Lymph Node Metastases: A Prospective Analysis

OBJECTIVE

To determine the diagnostic value of measuring squamous cell carcinoma antigen (SCC-Ag) and cancer antigen 15-3 (CA15-3) concentrations in fine-needle aspiration (FNA) samples for the detection of squamous cell carcinoma (SCC) metastases in cervical lymph nodes.

STUDY DESIGN

A prospective study with patients consecutively included between November 2018 and May 2021.

SETTING

A tertiary head and neck oncologic center.

METHODS

Out of 138 patients, SCC-Ag concentrations were analyzed in 168 FNA cervical lymph node samples and CA15-3 in 152 samples. Results were compared with FNA cytology (FNAC) or definitive histology to establish sensitivity and specificity rates.

RESULTS

For the detection of cervical SCC lymph node metastases, SCC-Ag measurement had an 89.4% sensitivity and 79.3% specificity at a cutoff concentration of 0.1 µg/L. Measurement of CA15-3 concentration in addition to SCC-Ag concentration did not lead to improved accuracy for the detection of SCC. In histology-confirmed cases, FNAC had an 80.0% sensitivity and 100% specificity, as opposed to 93.3% and 57.1%, respectively, for SCC-Ag.

CONCLUSION

Measurement of SCC-Ag concentration for detection of SCC lymph node metastases has a sensitivity at least comparable to FNAC and could be used as a relatively cheap screening tool in samples with nondiagnostic or indeterminate FNAC results or when multiple lymph nodes are sampled. However, SCC-Ag in FNA samples has a lower specificity than FNAC assessed by pathologists experienced in head and neck oncology. Addition of CA15-3 measurement did not lead to improved accuracy.

SCCA1/SERPINB3 promotes suppressive immune environment via STAT-dependent chemokine production, blunting the therapy-induced T cell responses

Radiotherapy is a commonly used cancer treatment; however, patients with high serum squamous cell carcinoma antigen (SCCA1/SERPINB3) are associated with resistance and poor prognosis. Despite being a strong clinical biomarker, the modulation of SERPINB3 in tumor immunity is poorly understood. We investigated the microenvironment of SERPINB3 high tumors through RNAseq of primary cervix tumors and found that SERPINB3 was positively correlated with CXCL1/8, S100A8/A9 and myeloid cell infiltration. Induction of SERPINB3 in vitro resulted in increased CXCL1/8 and S100A8/A9 production, and supernatants from SERPINB3-expressing cultures attracted monocytes and MDSCs. In murine tumors, the orthologue mSerpinB3a promoted MDSC, TAM, and M2 macrophage infiltration contributing to an immunosuppressive phenotype, which was further augmented upon radiation. Radiation-enhanced T cell response was muted in SERPINB3 tumors, whereas Treg expansion was observed. A STAT-dependent mechanism was implicated, whereby inhibiting STAT signaling with ruxolitinib abrogated suppressive chemokine production. Patients with elevated pre-treatment serum SCCA and high pSTAT3 had increased intratumoral CD11b+ myeloid cell compared to patients with low SCCA and pSTAT3 cohort that had overall improved cancer specific survival after radiotherapy. These findings provide a preclinical rationale for targeting STAT signaling in tumors with high SERPINB3 to counteract the immunosuppressive microenvironment and improve response to radiation.

Establishment and validation of a risk prediction model for high-grade cervical lesions

OBJECTIVE

To establish and validate a risk prediction model for cervical high-grade squamous intraepithelial lesions (HSIL).

METHODS

This retrospective study included patients who underwent cervical biopsies at the Cervical Disease Centre of Maternal and Child Hospital of Hubei Province between January 2021 and December 2021.

RESULTS

A total of 1630 patients were divided into the HSIL + cervical lesion group (n = 186) and the ≤ LSIL cervical lesions group (n = 1444). LSIL, ASC-H, HSIL and SCC, high-risk HPV, HPV16, HPV18/45, multiple HPV strains, acetowhite epithelium, atypical vessels, and mosaicity were independently associated with HSIL + lesions. These factors were used to establish a risk prediction model with a demonstrated area under the curve (AUC) of 0.851 and a C-index of 0.829. Calibration curve analysis showed that the model performed well, with a mean absolute error (MAE) of 0.005. The decision curve showed that the model created by combining the risk factors was more specific and sensitive than each predictive variable.

CONCLUSION

The model for predicting HSIL demonstrated promising predictive capability and might help identify patients requiring biopsy and treatment.

Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with Radical Hysterectomy by Machine Learning

Pretherapeutic serological parameters play a predictive role in pathologic risk factors (PRF), which correlate with treatment and prognosis in cervical cancer (CC). However, the method of pre-operative prediction to PRF is limited and the clinical availability of machine learning methods remains unknown in CC. Overall, 1260 early-stage CC patients treated with radical hysterectomy (RH) were randomly split into training and test cohorts. Six machine learning classifiers, including Gradient Boosting Machine, Support Vector Machine with Gaussian kernel, Random Forest, Conditional Random Forest, Naive Bayes, and Elastic Net, were used to derive diagnostic information from nine clinical factors and 75 parameters readily available from pretreatment peripheral blood tests. The best results were obtained by RF in deep stromal infiltration prediction with an accuracy of 70.8% and AUC of 0.767. The highest accuracy and AUC for predicting lymphatic metastasis with Cforest were 64.3% and 0.620, respectively. The highest accuracy of prediction for lymphavascular space invasion with EN was 59.7% and the AUC was 0.628. Blood markers, including D-dimer and uric acid, were associated with PRF. Machine learning methods can provide critical diagnostic prediction on PRF in CC before surgical intervention. The use of predictive algorithms may facilitate individualized treatment options through diagnostic stratification.

Identification and validation of serum tumor-markers based nomogram to predict the prognostic value of patients with cervical adenocarcinoma

Unlike cervical squamous cell carcinoma (CSCC), no uniform standard has been implemented to identify serum biomarkers for adenocarcinoma of the cervix (ADC). In the present study, we aimed to determine whether pretreatment serum tumor markers were of prognostic value in patients with ADC and constructed and validated the novel accurate nomogram for stratifying the risk groups. Patients with ADC who underwent curative hysterectomy or definitive radiotherapy from January 2011 to December 2016 were included. Significant factors independently predicting prognosis were selected by univariate multivariate Cox proportional hazard regression models and adopted for constructing the overall survival (OS) and progression-free survival (PFS) prediction nomograms. The receiver operating characteristic (ROC) curve and concordance index (C-index) with calibration curve was used to determine the accuracy of the nomogram in the prediction and determination of performance. We enrolled a total of 295 samples and randomized them as the training set (n = 207) or validation set (n = 88). Federation of Gynecology and Obstetrics Staging Guidelines (FIGO) stage, para-aortic lymph node (PALN), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), and HCG-β were assessed as the common factors independently predicting OS and PFS. For our constructed nomograms, its C-index values in OS and PFS prediction were 0.896 (95% CI, 0.879-0.913) and 0.895 (95% CI, 0.878-0.912) in training set, whereas 0.845 (95% CI:0.796-0.894) and 0.846 (95% CI:0.797-0.895) in validation set. ROC and calibration curves for our constructed nomograms predicted the excellent consistency of nomogram-predicted values with real measurements of 1-, 3-, and 5-year OS. We explored novel prognostic serum tumor markers of ADC and constructed effective nomograms comprising NSE, HCG-β, FIGO stage, PALN, and CEA, which could estimate OS and PFS for patients with ADC. These nomograms performed well in predicting patient prognosis, which was a potentially useful approach for stratifying ADC risk, thus contributing to clinical decision-making and individualized follow-up planning.

Improving cervical cancer survival-A multifaceted strategy to sustain progress for this global problem

Cervical cancer is associated with profound socioeconomic and racial disparities in incidence, mortality, morbidity, and years of life lost. The last standard-of-care treatment innovation for locally advanced cervical cancer occurred in 1999, when cisplatin chemotherapy was added to pelvic radiation therapy (chemoradiation therapy). Chemoradiation therapy is associated with a 30%-50% failure rate, and there is currently no cure for recurrent or metastatic disease. The enormity of the worldwide clinical problem of cervical cancer morbidity and mortality as well as the egregiously unchanged mortality rate over the last several decades are recognized by the National Institutes of Health as urgent priorities. This is reflected within the Office of Research on Women's Health effort to advance National Institutes of Health research on the health of women, as highlighted in a recent symposium. In the current review, the authors address the state of the science and opportunities to improve cervical cancer survival with an emphasis on improving access, using technology in innovative and widely implementable ways, and improving current understanding of cervical cancer biology. LAY SUMMARY: Cervical cancer is associated with profound socioeconomic and racial disparities in incidence, mortality, morbidity, and years of life lost. In this review, the state of the science and opportunities to improve cervical cancer survival are presented with an emphasis on improving access, using technology in innovative and widely implementable ways, and improving current understanding of cervical cancer biology.

The Plasma DIA-Based Quantitative Proteomics Reveals the Pathogenic Pathways and New Biomarkers in Cervical Cancer and High Grade Squamous Intraepithelial Lesion

OBJECTIVE

The process of normal cervix changing into high grade squamous intraepithelial lesion (HSIL) and invasive cervical cancer is long and the mechanisms are still not completely clear. This study aimed to reveal the protein profiles related to HSIL and cervical cancer and find the diagnostic and prognostic molecular changes.

METHODS

Data-independent acquisition (DIA) analysis was performed to identify 20 healthy female volunteers, 20 HSIL and 20 cervical patients in a cohort to screen differentially expressed proteins (DEPs) for the HSIL and cervical cancer. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used for functional annotation of DEPs; the protein-protein interaction (PPI) and weighted gene co-expression network analysis (WGCNA) were performed for detection of key molecular modules and hub proteins. They were validated using the Enzyme-Linked Immunosorbent Assay (ELISA).

RESULTS

A total of 243 DEPs were identified in the study groups. GO and KEGG analysis showed that DEPs were mainly enriched in the complement and coagulation pathway, cholesterol metabolism pathway, the IL-17 signaling pathway as well as the viral protein interaction with cytokine and cytokine receptor pathway. Subsequently, the WGCNA analysis showed that the green module was highly correlated with the cervical cancer stage. Additionally, six interesting core DEPs were verified by ELISA, APOF and ORM1, showing nearly the same expression pattern with DIA. The area under the curve (AUC) of 0.978 was obtained by using ORM1 combined with APOF to predict CK and HSIL+CC, and in the diagnosis of HSIL and CC, the AUC can reach to 0.982. The high expression of ORM1 is related to lymph node metastasis and the clinical stage of cervical cancer patients as well as the poor prognosis.

CONCLUSION

DIA-ELSIA combined analysis screened and validated two previously unexplored but potentially useful biomarkers for early diagnosis of HSIL and cervical cancer, as well as possible new pathogenic pathways and therapeutic targets.

Artemin Promotes the Migration and Invasion of Cervical Cancer Cells through AKT/mTORC1 Signaling

Background. The neurotrophic factor Artemin (ARTN) is involved in tumor proliferation and metastasis. Nonetheless, ARTN’s significance in cervical cancer (CC) has not been studied. In our study, we propose to investigate the biological function of ARTN in CC as well as its particular regulatory mechanism. Methods. Immunohistochemistry (IHC) was used to examine the degree of ARTN protein expression in CC patient tissue. Real-time PCR and Western blotting were performed to reveal related genes’ levels in CC cells. The CCK-8 test, the colony formation assay, the wound-healing assay, and the transwell assay were utilized to determine the proliferation, migration, and invasion capabilities, respectively. To generate lung metastasis models, stable ARTN-expressing SiHa cells were injected into the caudal tail vein of mice. IHC was used to examine the protein levels in CC mice model tissues. Results. ARTN was overexpressed in CC tissues relative to normal cervical tissues and linked positively with lymph node metastases ( $P=0.012$ ) and recurrence ( $P=0.015$ ) in CC patients. In vitro, ARTN overexpression promoted the proliferation, invasion, and migration of CC cells. In contrast, the consequences of depleting endogenous ARTN were the opposite. Moreover, overexpression of ARTN increased lung metastasis of CC cells in vivo and shortened the lifespan of mice models. In addition, ARTN overexpression significantly enhanced AKT phosphorylation on Ser473 and mTOR phosphorylation on Ser2448 and promoted the epithelial-mesenchymal transition (EMT) cascade. In addition, rapamycin, a selective inhibitor of mTORC1, might rescue the EMT phenotype caused by ARTN. Conclusion. Our findings suggested that ARTN may enhance CC metastasis through the AKT/mTORC1 pathway. ARTN is anticipated to be a novel potential therapeutic target for the treatment of CC metastases.

INPP5A/HLA-G1/IL-10/MMP-21 Axis in Progression of Esophageal Squamous Cell Carcinoma

Background

Background: Type I inositol polyphosphate-5-phosphatase A (INPP5A) is involved in different cellular events, including cell proliferation. Since INPP5A, HLAG1, IL-10, and matrix metalloproteinases (MMP)-21 genes play fundamental roles in esophageal squamous cell carcinoma (ESCC) tumorigenesis, we aimed in this study to clarify the possible interplay of these genes and explore the potential of these chemistries as a predictor marker for diagnosis in ESCC disease.

Methods

Methods: Gene expression analysis of INPP5A, HLAG-1, IL-10, and MMP-21 was performed using relative comparative real-time PCR in 56 ESCCs compared to their margin normal tissues. Immunohistochemical staining was accomplished for INPP5A in ESCCs. Analysis of ROC curves and the AUC were applied to evaluate the diagnostic capability of the candidate genes.

Results

Results: High levels of HLA-G1, MMP-21, and IL-10 were detected in nearly 23.2%, 62.5%, and 53.5% of ESCCs compared to the normal tissues, respectively, whereas INPP5A underexpression was detected in 19.6% of ESCCs, which all tested genes indicated significant correlations with each other. The protein expression level of INPP5A in ESCC tissues was significantly lower than that of the non-tumor esophageal tissues (p = 0.001). Interestingly, the concomitant expression of the INPP5A/HLA-G1, INPP5A/MMP-21, INPP5A/IL-10, HLA-G1/MMP-21, HLA-G1/IL-10, and MMP-21/IL-10 was significantly correlated with several clinicopathological variables. INPP5A, HLA-G1, MMP-21, and IL-10 showed to be the most appropriate candidates to discriminate tumor/non-tumor groups due to the total AUCs of all combinations (>60%).

Conclusion

Conclusion: Our results represent a new regulatory axis containing INPP5A/HLAG-1/IL-10/MMP-21 markers in ESCC development and may provide novel insight into the mechanism of immune evasion mediated by the INPP5A/HLAG-1/IL-10/MMP-21 regulatory network in the disease.

Assessment of High-Risk Human Papillomavirus Infection Characteristics in Cervical Squamous Cell Carcinoma and Adenocarcinoma in China

Background

The characteristics of high-risk human papillomavirus (HR-HPV) infection in different pathological types of cervical cancer in China are unclear. The aim of this study was to evaluate HR-HPV genotypes and age stratification with cervical squamous cell carcinoma (SCC) and adenocarcinoma (ADC) in China.

Materials and Methods

Patients diagnosed with cervical cancer by histopathology in Fujian Maternity and Child Health Hospital from January 1, 2014, to December 31, 2017, were included in this study. The HR-HPV genotype was analyzed in cervical specimens. Logistic regression was used to calculate odds ratios (ORs). All tests of statistical significance were two-sided, and the P value<0.05.

Results

A total of 1,590,476 women were screened for cervical cancer, and 688 cervical cancers were detected, including 554 SCC and 93 ADC. The overall HR-HPV infection rate in SCC was higher than that in ADC (91.2% vs 81.7%, P=0.005). HPV-16 was the most prevalent genotype in SCC (70.0%) but was only 31.2% in ADC (P<0.001). However, the prevalence of HPV-18 in ADC was significantly higher than that in SCC (45.2% vs 7.0%; P<0.001). In SCC, the prevalence of HPV-16 was consistently much higher than that of HPV-18 regardless of age group. Among ADC, the prevalence of HPV-18 was higher than that of HPV-16 in women aged ≥45 years. Interestingly, in those aged <35 years, the highest prevalence was observed for HPV-16. HPV-18 infection has the highest risk of ADC (OR= 12.109; P< 0.001), and HPV-45 and HPV-51 were also found to be associated with the occurrence of ADC. However, HPV-16 infection greatly increased the risk of having histological SCC.

Conclusion

HPV-16 and HPV-18 infections are key risk factors for SCC and ADC. The use of HR-HPV genotyping tests in cervical cancer screening and vaccination against major HPV genotypes could reduce the incidence of cervical cancer.

Performance characteristics of the BRAHMS KRYPTOR automated squamous cell carcinoma antigen assay

BACKGROUND

Squamous cell carcinoma antigen (SCCA) is a glycoprotein biomarker for squamous cell carcinoma (SCC). SCCA elevations have also been noted in other conditions. The purpose of this study was to evaluate the analytical and clinical performance of an automated SCCA homogenous immunofluorescent assay (BRAHMS KRYPTOR).

METHODS

Reference intervals were determined using 119 samples from healthy donors. To assess clinical performance, samples were collected from patients with cervical (n = 12), head and neck (n = 23), lung (n = 14), or cutaneous (n = 11) SCC in addition to hepatocellular carcinoma, psoriasis, or atopic dermatitis.

RESULTS

Upper 95th percentile sex-specific reference intervals were 2.00 μg/L for males and 1.67 μg/L for females. Intra- and inter-assay CVs were less than 5%. Comparison of the BRAHMS KRYPTOR to an ELISA SCCA immunoassay exhibited a correlation coefficient of 0.8809. The mean sensitivity for all SCC positive patients was 23.3%. With the exception of psoriasis (58.6%) specificity exceeded 95% for the non-SCC populations.

CONCLUSION

The BRAHMS KRYPTOR SCCA assay showed good analytical performance and acceptable overall clinical specificity. Consistent with previous studies, the sensitivity of SCCA for SCC was low. In the absence of other robust circulating markers, SCCA remains an imperfect yet useful tool in the evaluation of SCC.

Prognostic value of tumor measurement parameters and SCC-Ag changes in patients with locally-advanced cervical cancer

OBJECTIVE

To investigate the prognostic relevance of specific measurement parameters such as tumor diameter, tumor volume, tumor volume reduction rate (TVRR), and changes in the squamous cell carcinoma antigen (SCC-Ag) level in patients with locally-advanced cervical cancer (LACC) undergoing concurrent radiotherapy and chemotherapy.

METHODS

This was a retrospective study of 203 patients with stage IIA-IVA cervical squamous cell carcinoma who were newly diagnosed at our hospital between January 2011 and March 2015. Clinical data and pre-and post-treatment imaging information were collected and each parameter was calculated using 3DSlicer software. The pre/post-treatment tumor diameter (TD_pre/post), tumor volume (TV_pre/post), SCC-Ag (SCC_pre/post), and TVRR, SCC-Ag reduction rate (SCCRR) were analyzed and their prognostic relevance evaluated.

RESULTS

The median follow-up was 69 months. The 5-year overall survival (OS) and disease progression-free survival (PFS) rates were 69.5% and 64.5%, respectively. On univariate analysis, TD_pre/post, TV_pre/post, TVRR, SCC_pre/post and SCCRR showed significant association with OS and PFS (P < 0.05). On multivariate analysis, TD_pre [Hazard ratio (HR) = 0.373, P = 0.028], TD_post (HR = 0.376, P = 0.003) and SCC_post (HR = 0.374, P = 0.001) were independent predictors of OS. TVRR (HR = 2.998, P < 0.001), SCC_pre (HR = 0.563, P = 0.041), and SCC_post (HR = 0.253, P < 0.001) were independent predictors of PFS. Tumor measurement parameters showed a positive correlation with SCC-Ag (P < 0.05).

CONCLUSION

TD_pre/post, TV_pre/post, TVRR, SCC_pre/post, and SCCRR were prognostic factors in LACC. TD_pre/post and SCC_post showed the most significant prognostic value. TVRR and SCC_pre/post were closely related to disease progression. Further studies should investigate the correlation between measurement parameters of tumor and SCC-Ag.

Associations of whole-body 18F-FDG PET/CT parameters and SCC-Ag level with overall survival in patients with cervical cancer

OBJECTIVE

To explore the whole-body metabolic tumour volume (WBMTV), whole-body total lesion glycolysis (WBTLG) and tumour whole-body maximum standardised uptake value (WBSUVmax) of post-treatment 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) in predicting the overall survival (OS) in patients with cervical squamous cell carcinoma (SCC).

METHODS

The clinical data of 74 patients with cervical SCC who received 18F-FDG PET/CT were retrospectively analysed. WBMTV, WBTLG and WBSUVmax, as well as the serum SCC-Ag level, were measured. The Kaplan-Meier method and Cox regression were used to analyse the relationships of PET/CT parameters with OS.

RESULTS

The risk of death was 13.942-fold greater in the PET-positive group than in the PET-negative group (P < 0.001). In the PET-positive group, univariate analysis showed that OS was significantly correlated with WBMTV and WBTLG; it was not correlated with WBSUVmax, SCC-Ag, age, pathological stage or treatment after PET (P > 0.05). Patients with positive PET findings were divided into two groups according to the median of WBMTV or WBTLG; there was a significant difference in OS between the two groups. The risk of death in patients with positive PET imaging findings and high SCC-Ag level was 18.356-fold greater than in patients with negative PET imaging findings (P < 0.001).

CONCLUSIONS

WBMTV and WBTLG have important prognostic value in the prediction of OS in post-treatment patients with cervical SCC. OS was significantly decreased in patients who had both positive PET imaging findings and high SCC-Ag level.

Cervical Carcinoma: Oncobiology and Biomarkers

Cervical cancer is one of the most common types of carcinomas causing morbidity and mortality in women in all countries of the world. At the moment, the oncology, oncobiology, and oncomorphology of cervical cancer are characterized by the accumulation of new information; various molecular biological, genetic, and immunohistochemical methods of investigation of the mechanisms of cervical carcinogenesis are tested and applied; targeted antitumour drugs and diagnostic, prognostic, and predictive biomarkers are being searched for. Many issues of the etiopathogenesis of cervical cancer have not been sufficiently studied, and the role of many biomarkers characterizing various stages of cervical carcinogenesis remains unclear. Therefore, the target of this review is to systematize and understand several problems in the pathogenesis of cervical cancer and to evaluate the significance and role of biomarkers in cervical carcinogenesis.

High RPS27A Expression Predicts Poor Prognosis in Patients With HPV Type 16 Cervical Cancer

In recent years, the incidence and the mortality rate of cervical cancer have been gradually increasing, becoming one of the major causes of cancer-related death in women. In particular, patients with advanced and recurrent cervical cancers present a very poor prognosis. In addition, the vast majority of cervical cancer cases are caused by human papillomavirus (HPV) infection, of which HPV16 infection is the main cause and squamous cell carcinoma is the main presenting type. In this study, we performed screening of differentially expressed genes (DEGs) based on The Cancer Genome Atlas (TCGA) database and GSE6791, constructed a protein–protein interaction (PPI) network to screen 34 hub genes, filtered to the remaining 10 genes using the CytoHubba plug-in, and used survival analysis to determine that RPS27A was most associated with the prognosis of cervical cancer patients and has prognostic and predictive value for cervical cancer. The most significant biological functions and pathways of RPS27A enrichment were subsequently investigated with gene set enrichment analysis (GSEA), and integration of TCGA and GTEx database analyses revealed that RPS27A was significantly expressed in most cancer types. In this study, our analysis revealed that RPS27A can be used as a prognostic biomarker for HPV16 cervical cancer and has biological significance for the growth of cervical cancer cells.

Clinical value of serum biomarkers, squamous cell carcinoma antigen and apolipoprotein C-II in follow-up of patients with locally advanced cervical squamous cell carcinoma treated with radiation: A multicenter prospective cohort study

There are currently no reliable, established serum biomarkers to predict the prognosis of radiotherapy for advanced cervical cancer. We aimed to identify serum biomarkers for survival after radiotherapy for cervical cancer. In this multicenter prospective cohort study, the usefulness of pre- and posttreatment serum protein levels of potential biomarkers, including squamous cell carcinoma antigen (SCC-Ag), apolipoprotein C-II (ApoC-II), matrix metalloproteinase (MMP)1, and MMP2, were evaluated together with clinical factors in 145 cervical cancer patients in order to determine their suitability to predict survival. Progression-free survival (PFS) was the primary endpoint, and overall survival (OS), pelvic PFS (PPFS), and distant metastasis-free survival (DMFS) were the secondary endpoints. Blood samples were collected before and 1 month after radiotherapy to measure serum biomarker levels. ApoC-II was measured using a monoclonal antibody-based enzyme-linked immunosorbent assay, which was developed for this purpose. Kaplan-Meier method, log-rank test, and univariate and multivariate Cox proportional hazards models were used for statistical analyses. In multivariate analysis, larger tumor size was independently associated with shorter PFS, OS, PPFS, and DMFS, while longer overall treatment time was independently associated with shorter PPFS. Higher pretreatment SCC-Ag (P < 0.001) was associated with shorter DMFS. Higher posttreatment SCC-Ag (P = 0.017) was also associated with shorter DMFS. Pretreatment ApoC-II was associated with PPFS in univariate analysis (P = 0.048), but not in multivariate analysis. Patients with pretreatment ApoC-II levels ≤ 25.8 μg/ml had shorter PPFS than those with pretreatment ApoC-II levels > 25.8 μg/ml (P = 0.023, log-rank test). Pre- and posttreatment serum SCC-Ag and pretreatment serum ApoC-II levels may be important biomarkers to predict survival outcomes of patients with cervical cancer after radiotherapy. Pre- and posttreatment SCC-Ag and pretreatment ApoC-II might be useful in clinical settings for screening patients to improve treatment strategies in cervical cancer.

Predicting the risk of the distant recurrence of cervical cancer after concurrent chemoradiation: A validation study of the Korean Gynecologic Oncologic Group (KGOG)-1024 model

BACKGROUND

This study aimed to validate the performance of the Korean Gynecologic Oncologic Group (KGOG)-1024 risk model in predicting the risk of distant failure after chemoradiation in patients with locally advanced cervical cancer (LACC).

METHODS

In a retrospective cohort of 297 patients who received concurrent chemoradiation for advanced cervical cancer, individual risk was calculated using the KGOG-1024 risk model. The cohort was categorized into three risk groups (low-, intermediate-, and high-risk groups) according to the calculated risk. The means of the calculated and observed risks were compared within each group.

RESULTS

The study population was classified into low-, intermediate-, and high-risk groups according to the KGOG-1024 risk model (27.2%, 49.3%, and 23.5% of patients, respectively). The calculated and observed 5-year cumulative incidence rates were 12.4% vs. 16.4% in the low-risk group, 23.2% vs. 25.9% in the intermediate-risk group, and 50.7% vs. 36.3% in the high-risk group. Overall, the calculated and observed risk was 26.7% vs. 25.6%.

CONCLUSIONS

The KGOG-1024 risk assessment model accurately predicted distant recurrence after chemoradiation in patients with LACC, especially in the low- and intermediate-risk groups. The model may be helpful for identifying patients for future trials assessing the possible benefit of adjuvant systemic treatment after chemoradiation.

Prognostic and Predictive Clinical and Biological Factors in HPV Malignancies

Human papillomavirus (HPV) causes the majority of oropharyngeal, cervical, and anal cancers, among others. These HPV-associated cancers cause substantial morbidity and mortality despite ongoing vaccination efforts. Aside from the earliest stage tumors, chemoradiation is used to treat most HPV-associated cancers across disease sites. Response rates are variable, and opportunities to improve oncologic control and reduce toxicity remain. HPV malignancies share multiple commonalities in oncogenesis and tumor biology that may inform personalized methods of screening, diagnosis, treatment and surveillance. In this review we discuss the current literature and identify promising molecular targets, prognostic and predictive clinical factors and biomarkers in HPV-associated oropharyngeal, cervical and anal cancer.

Predictive value of preoperative serum squamous cell carcinoma antigen level for lymph node metastasis in early-stage cervical squamous cell carcinoma

To explore the predictive value of preoperative serum squamous cell carcinoma antigen (SCC-Ag) level for lymph node metastasis (LNM), particularly, in patients surgically treated for early-stage cervical squamous cell carcinoma.We enrolled 162 patients with cervical squamous cell carcinoma stages IB to IIA following the International Federation of Gynecology and Obstetrics (FIGO) 2009 classification. The patients had previously undergone radical surgery. Correlation of the SCC-Ag level with clinicopathological features and the predictive value of SCC-Ag for LNM were analyzed.High preoperative SCC-Ag level was correlated with FIGO stage (P = .001), tumor diameter >4 cm (P < .001), stromal infiltration (P < .001), LNM (P < .001) and lymphovascular space invasion (LVSI), (P = .045). However, it was not correlated with age, histological differentiation, parametrial involvement, and positive vaginal margin (P > .05). Univariate analysis revealed that FIGO stage (P = .015), tumor diameter (P = .044), stromal infiltration (χ2 = 10.436, P = .005), SCC-Ag ≧ 2.75 ng/mL (χ2 = 14.339, P < .001), LVSI (χ2 = 12.866, P  < .001), parametrial involvement (χ2 = 13.784, P < .001) were correlated with LNM, but not with age, histological differentiation, and positive vaginal margin. Moreover, multivariate analysis demonstrated that SCC-Ag ≧2.75 ng/mL (P = .011, OR = 3.287) and LVSI (P = .009, OR = 7.559) were independent factors affecting LNM. The area under the receiver operator characteristic curve of SCC-Ag was 0.703 (P < .001), while 2.75 ng/mL was the best cutoff value for predicting LNM. The sensitivity and specificity of diagnosis were 69.4% and 65.9%, respectively.High SCC-Ag level was revealed to be an independent risk factor for the prognosis of squamous carcinoma of the cervix before an operation. Besides, SCC-Ag (2.75 ng/mL) can be utilized as a potential marker to predict LNM in early stage cervical cancer before an operation.

Serum conversion pattern of SCC-Ag levels between pre- and post-chemoradiotherapy predicts recurrence and metastasis in cervical cancer: a multi-institutional analysis

The value of squamous-cell carcinoma antigen (SCC-Ag) as a tumor marker for cervical cancer is controversial because it is not elevated (> 2 ng/mL) in a quarter of patients at diagnosis. Two hundred ninety one IB-IVA cervical squamous cell-carcinoma patients who underwent definitive chemoradiotherapy (CRT) were included in four tertiary institutions. Serum conversion pattern between pre- and post-treatment SCC-Ag levels was categorized into the following three arms: (1) Consistent Seronegative arm (both ≤ 2 ng/mL); (2) Negative Conversion arm (from > 2 ng/mL to ≤ 2 ng/mL); and (3) Consistent Seropositive arm (both > 2 ng/mL). Median follow-up time was 40.3 months. For Consistent Seronegative (N = 67), Negative Conversion (N = 165), and Consistent Seropositive (N = 59) arms, the 3-year recurrence-free survival (RFS) rates were 79.4%, 62.0%, and 48.4% (P < 0.001) and the 3-year overall survival (OS) rates were 86.3%, 80.6%, and 58.7% (P = 0.001), respectively. The serum conversion pattern of SCC-Ag between pre- and post-treatment was the most significant and potent prognostic factor of RFS (P = 0.001) and OS (P = 0.007) on the multivariate analysis. Simply checking whether SCC-Ag level is above or below 2 ng/mL before and after definitive CRT can provide clinicians with a simple rule-of-thumb for prediction of disease outcome in cervical cancer patients.

Prognostic value of post-radiation serum squamous cell carcinoma antigen and primary tumor regression for cervical squamous cell carcinoma

OBJECTIVE

In this study, we determined the prognostic values of magnetic resonance imaging (MRI)-based primary tumor regression and serum squamous cell carcinoma antigen (SSCC-Ag) levels 4 weeks after definitive radiotherapy (RT) in cervical squamous cell carcinoma (CSCC) patients.

METHODS

This was a retrospective study involving 218 patients with histologically confirmed CSCC (stages IB-IVA). All the patients received definitive RT. Pre- and post-RT pelvic MRI and SSCC-Ag levels were measured. Locoregional control (LRC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were evaluated, and possible OS prognostic factors were analyzed.

RESULTS

The median follow-up time was 25.57 (1.73-58.93) months. Thirty-six and 68 patients died and experienced recurrence, respectively, and the primary tumors of 130 (59.6%) and 88 (40.4%) patients exhibited complete response (CR) and non-CR, respectively. The 3-year OS, DFS, LRC, and DMFS rates were significantly higher in the CR than in the non-CR patients (85.2% vs. 67.9%, 78.9% vs. 39.0%, 93.4% vs. 63.8%, and 83.4% vs. 54.5%, respectively; p< 0.05). The 3-year OS, DFS, LRC, and DMFS rates were significantly lower in the patients with high post-RT SSCC-Ag levels than in those with low post-RT SSCC-Ag levels (38.0% vs. 83.9%, 21.2% vs. 66.3%, 73.0% vs. 84.9%, and 26.5% vs. 79.0%, respectively; p<0.05). Multivariate analyses indicated that SSCC-Ag levels were an independent OS predictor (HR: 5.749, 95% CI: 2.598-12.723, p< 0.001).

CONCLUSION

Post-RT SSCC-Ag levels are OS independent prognostic factors in CSCC patients receiving RT. Timely and optimized treatment plans for CSCC patients after 4 weeks of RT are necessary when patients with persistent tumor and/or positive SSCC-Ag.

B7-H6 as a Diagnostic Biomarker for Cervical Squamous Cell Carcinoma

Background: B7-H6, a newly discovered member of the immunoglobulin superfamily, exerts antitumor effects by binding to NKP30 receptor on natural killer cells; it has important clinical implications. Cell surface ectodomain shedding of B7-H6 generates soluble B7-H6 (sB7-H6), which is highly expressed and serves as a valuable biomarker in multiple tumors, but the clinical significance and diagnostic value of B7-H6 in cervical squamous cell carcinoma (CSCC) remains unclear. Objective: To assess the expression and diagnostic value of B7-H6 in CSCC. Methods: In this study, 69 cervical specimens were analyzed for B7-H6 expression: 25 paired CSCC tissues were examined using quantitative real-time polymerase chain reaction, and 24 paraffin-embedded CSCC tissues and 20 normal tissues were analyzed immunohistochemically. Furthermore, plasma samples from 30 CSCC patients and 24 healthy controls were examined using ELISA. Results: B7-H6 mRNA and protein levels were significantly higher in CSCC tissues than in adjacent normal cervical tissues (p < 0.05). Immunohistochemical analysis revealed that high B7-H6 expression correlated with stromal invasion (p = 0.043), lymphovascular space involvement (p = 0.005), lymph node metastasis (p = 0.019), and International Federation of Gynecology and Obstetrics (FIGO) stage (p = 0.002). Moreover, ELISA results demonstrated that the sB7-H6 concentration in peripheral blood was higher in CSCC patients than in healthy controls (p < 0.0001). Notably, at the optimal cutoff point of 0.076 ng/mL, sB7-H6 showed 93.3% sensitivity and 62.5% specificity in the discrimination of CSCC patients from healthy controls. Conclusions: B7-H6 mRNA and protein levels are markedly increased in CSCC tissues and peripheral blood samples, and the B7-H6 level can be used as a biomarker for predicting the severity of CSCC disease and discriminating CSCC patients from healthy controls.

Postreatment squamous cell carcinoma antigen as a survival prognostic factor in patients with locally advanced cervical cancer. A Spanish multicenter study. The SEGO Spain-GOG group

OBJECTIVE

To evaluate the clinical value of postreatment plasmatic levels of the squamous cell carcinoma antigen (SCC-Ag) as a survival independent prognostic factor in patients with LACC.

METHODS

Retrospective, multicenter study including LACC patients (FIGO 2009 stages IB2, IIA2-IVA) managed at the Gynecology Oncological Units corresponding to eight reference hospitals in Spain between 2000 and 2016. Receiver operating characteristic (ROC) curve analysis was used to determine the cut-off values of postreatment SCC-Ag levels in prediction of survival. Survival curves were calculated by using the Kaplan-Meier method and were compared with the log-rank test. Cox models were used to analyze different factors in terms of their prognosis predictive value.

RESULTS

The study included 447 patients with a median follow-up time of 53 months (IQR 26-101) and median pre- and postreatment SCC-Ag levels of 3.4 ng/ml (IQR 1.2-11) and 0.8 ng/ml (IQR 0.5-1.2), respectively. The cut-off level of pretreatment SCC-Ag was 11.75 ng/ml (sensibility 37.5%; specificity 80.5%) and that of postreatment SCC-Ag was 1.24 ng/ml (sensibility 34.6%; specificity 83.1%). In a multivariate Cox regression analysis, factors that were independent predictors of OS were: FIGO stage (HR 2.12; 95%CI 1.18-3.8; p = 0.011), paraaortic lymph node involvement (HR 3.56; 95%CI 2.04-6.2; p < 0.0001), postreatment SCC-Ag level ≥ 1.2 ng/ml (HR 1.95; 95%CI 1.11-3.44; p = 0.02) and incomplete response to treatment (HR 4.5; 95%CI 2.5-8.11; p < 0.0001).

CONCLUSION

Postreatment plasmatic SCC-Ag level ≥ 1.2 ng/ml was an independent risk factor for the survival of patients with LACC. Further factors influencing survival included: paraaortic lymph node involvement, advanced disease and poor response to concomitant chemoradiotherapy.

Pretreatment Neutrophil-to-Lymphocyte Ratio Combined with Platelet-to-Lymphocyte Ratio as a Predictor of Survival Outcomes after Definitive Concurrent Chemoradiotherapy for Cervical Cancer

The aim of the study was to evaluate pretreatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as prognostic factors for predicting clinical outcomes after definitive concurrent chemoradiotherapy (CCRT) for cervical cancer. The cases were divided into two groups based on the values of NLR and PLR: High NLR-PLR (high value in both NLR and PLR) and Low NLR-PLR (low value in either NLR or PLR). The relationships between survival outcomes and the pretreatment NLR-PLR were investigated. Of the 148 patients enrolled in the study, 30 patients died during the median follow-up of 75 months. Based on receiver operating curves, NLR and PLR cut-off values for survival analysis were 2.34 and 148.89. The 10-year overall survival and disease-free survival rates for high NLR-PLR vs. low NLR-PLR were 63.6% vs. 86.2% (p = 0.001) and 63.3% vs. 77.5% (p = 0.026), respectively. Based on a multivariate analysis, independent predictors of overall survival were high NLR-PLR (hazard ratio [HR], 2.435; 95% confidence interval [CI], 1.106-5.361; p = 0.027) and stage (HR 2.659; 95% CI, 1.146-6.613; p = 0.024). Increases in both NLR and PLR are associated with poor survival. Elevation in both NLR and PLR before initiation of CCRT may be a useful biomarker for predicting clinical outcomes.

Significance of serum CA125 level in surgically resected cervical adenocarcinoma with adverse features

OBJECTIVE

Unlike cervical squamous cell carcinoma, there are no consensus criteria for serum tumor markers in cervical adenocarcinoma. This study aimed to identify the prognostic value of preoperative carbohydrate antigen 125 (CA125) levels in cervical adenocarcinoma patients with adverse pathologic features.

METHODS

A total of 105 patients who underwent radical hysterectomy followed by adjuvant radiotherapy (RT) or concurrent chemoradiation therapy were included. Locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and overall survival (OS) were evaluated using the Cox proportional hazard regression model.

RESULTS

Using a cutoff value of 50 U/mL, 83 and 22 patients had low- and high-CA125, respectively. Patients with high-CA125 had a larger tumor size, more frequent parametrial extension, and more frequent lymph node metastasis than those with low-CA125. During a median follow-up of 59.3 (interquartile range, 32.7-97.8) months, patients with high-CA125 showed inferior 5-year LRFS, DMFS, and OS rates compared to those with low-CA125 (38.5% vs. 70.0%; 37.0% vs. 69.4%; 43.6% vs. 78.1%, respectively, all p<0.05). In multivariable analysis, the high-CA125 remained significant prognostic factor for LRFS, DMFS, and OS (all p<0.05). Furthermore, 12 patients with high-CA125 at recurrence exhibited lower 5-year OS rates than 21 patients with low-CA125 at recurrence (0.0% vs. 51.3%, p=0.003).

CONCLUSION

In this retrospective analysis, the serum CA125 level at diagnosis and recurrence was related to the extent of disease and prognosis of cervical adenocarcinoma with adverse pathologic features. A CA125 level of ≥50 U/mL may be a prognostic surrogate marker for cervical adenocarcinoma in patients with the presence of adverse factors.

Analysis of related risk factors of lung metastasis after laparoscopic radical hysterectomy of cervical cancer

To explore the risk factors of lung metastasis in patients after laparoscopic radical hysterectomy (LRH) of cervical cancer (CC).The clinical data of CC patients with clinical stage of IA1-IIA2 diagnosed in our hospital from April 2007 to October 2015 were collected. According to the situation of metastasis, the patients were divided into lung metastasis (n = 73) and non-lung metastasis group (n = 2076). The clinical data were compared between 2 groups, and logistic stepwise regression model was used to analyze the risk factors of lung metastasis in patients with CC after LRH.The incidence of lung metastasis after LRH of CC was 3.39%, and 67.13% of patients with lung metastases had no obvious clinical symptoms. 15.06% patients had lung metastasis in the first year, 38.35% in the second year, 43.83% in the third year and later. The postoperative lung metastasis of CC was related to tumor diameter (P < .001), pathological type (P < .001), interstitial invasion depth (P < .001), pelvic lymph node metastasis (PLNM, P < .001), vascular tumor thrombus (P = .011), tumor uterine invasion (P = .002), and abnormal preoperative tumor markers (P = .015). However, it was not related to age, clinical stage, tumor growth pattern, tumor differentiation, and para-aortic lymph node metastasis (P > .05). Logistic regression analysis revealed non-squamous cell carcinoma (P = .022), tumor diameter ≥4 cm (P = .008), interstitial invasion depth >2/3 (P = .003), PLNM (P = .007), and tumor uterine invasion (P = .037) is an independent risk factor for lung metastasis after LRH of CC.Non-squamous cell carcinoma, tumor diameter ≥4 cm, tumor interstitial invasion depth >2/3, PLNM, and tumor uterine invasion are independent risk factors for lung metastasis after LRH of CC.

Effect of the Number of Removed Lymph Nodes on Survival in Patients with FIGO Stage IB-IIA Cervical Squamous Cell Carcinoma following Open Radical Hysterectomy with Pelvic Lymphadenectomy: A Retrospective Cohort Study

Objective

To determine whether the number of removed lymph nodes (RLN) is associated with survival in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IB-IIA cervical squamous cell carcinoma (CSCC).

Methods

We reviewed the medical records of FIGO stage IB-IIA CSCC patients who underwent standardized radical hysterectomy with pelvic lymphadenectomy (RHPL) in our center between 2006 and 2014. The X-tile software was performed to calculate the optimal grouping of cutoff points for RLN. The impact of RLN on progression-free survival (PFS) and overall survival (OS) was analyzed using Cox regression analysis.

Results

Among 3,127 patients, the mean number of RLN was 22, and positive lymph node (LN) was found in 668 (21.4%) patients. X-tile plots identified “21” and “16” as the optimal cutoff value of RLN to divide the patients into two groups in terms of PFS and OS separately. In all patients, the number of RLN was not associated with PFS (P=0.182) or OS (P=0.193). Moreover, in both LN positive and negative patients, the number of RLN was not associated with either PFS (P=0.212 and P=0.540, respectively) or OS (P=0.173 and P=0.497, respectively). Cox regression analysis showed that the number of RLN was not an independent prognostic factor for PFS or OS.

Conclusion

If standardized RHPL was performed, the number of RLN was not an independent prognostic factor for survival of patients with FIGO stage IB-IIA CSCC.

Could Adjuvant Chemotherapy Improve Prognosis for Cervical Cancer Patients with Elevated Pretreatment Serum Squamous-Cell Carcinoma Antigen?

Objective

The aim of this study was to explore whether adjuvant chemotherapy could improve prognosis for cervical cancer patients with elevated pretreatment serum squamous-cell carcinoma antigen (SCC-Ag).

Methods

Propensity-score matching and inverse probability of treatment weighting (IPTW) were used to ensure balanced groups for patients with (arm A) and without adjuvant chemotherapy (arm B). All patients were treated between January 2012 and December 2014 at a single center. Study outcomes were disease-free survival (DFS) and overall survival (OS).

Results

In total, 81 patients were included in this study. By propensity-score matching, 35 patients were included in each group (arm A and arm B). Median follow-up was 60 months in arm A and 66 months in arm B. Overall, 85.7% of patients in arm A and 71.4% of those in arm B received adjuvant radiotherapy. DFS and OS curves were similar between arms A and B (P=0.971 and 0.633, respectively). With IPTW, arm A was not associated with prognosis in terms of DFS (HR 0.946, 95% CI 0.237–3.784; P=0.938) or OS (HR 1.020, 95%CI 0.357–2.913; P=0.970).

Conclusion

For patients with elevated pretreatment SCC-Ag, adjuvant chemotherapy was not found to improve prognosis. Also, a considerable proportion of these patients had postoperative indications for adjuvant radiotherapy. For these cervical cancer patients with elevated pretreatment SCC-Ag, the choice of radical hysterectomy and adjuvant chemotherapy should be prudent.

Paclitaxel Plus Platinum Neoadjuvant Chemotherapy Followed by Surgery Versus Primary Surgery in Locally Advanced Cervical Cancer-A Propensity Score Matching Analysis

Objective

To compare the efficacy and safety of neoadjuvant chemotherapy followed by surgery (NACTS) and primary surgery (PS) in locally advanced cervical cancer (LACC).

Methods

LACC (stage IB2/IIA2, FIGO 2009) patients who accepted NACTS or PS in the Cancer Hospital of the Chinese Academy of Medical Sciences from 2007 to 2017 were enrolled, and a database was established. A 1:1 ratio propensity score matching (PSM) was performed for the NACTS group and PS group according to pretreatment characteristics. After PSM, the clinicopathological features and prognosis between the matched groups were compared.

Results

Of 802 cases in the database, 639 met the inclusion criteria, with 428 received paclitaxel plus platinum NACTS, and 211 received PS. After PSM, the two groups had comparable pretreatment characteristics, with 190 cases in each group. In the NACTS group, the operation parameters were similar to the PS group except for the longer operation time (median 255 min vs. 239 min, P = 0.007); pathological intermediate-risk factors including tumor diameter (P < 0.001) and LVSI(+) (P < 0.001) were significantly decreased; fewer patients were with ≥2 intermediate-risk factors (10.5 vs. 53.2%, P < 0.001) so that the rate of adjuvant radiotherapy was reduced (54.2 vs. 70.0%, P = 0.002). DFS and OS were similar between the NACTS group and PS group (P > 0.05). However, for patients with tumor diameter ≥5 cm or SCC ≥5 ng/ml, DFS of the NACTS group was significantly prolonged (P = 0.016, P = 0.007).

Conclusion

Paclitaxel plus platinum neoadjuvant chemotherapy can reduce adjuvant radiotherapy by decreasing pathological risk factors. Patients with tumor diameter ≥5 cm or SCC ≥5 ng/ml may obtain survival benefits.

A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma

OBJECTIVES

To develop and validate a radiomics model for preoperative identification of lymph node metastasis (LNM) in patients with early-stage cervical squamous cell carcinoma (CSCC).

METHODS

Total of 190 eligible patients were randomly divided into training (n = 100) and validation (n = 90) cohorts. Handcrafted features and deep-learning features were extracted from T2W fat suppression images. The minimum redundancy maximum relevance algorithm and LASSO regression with 10-fold cross-validation were used for key features selection. A radiomics model that incorporated the handcrafted-signature, deep-signature, and squamous cell carcinoma antigen (SCC-Ag) levels was developed by logistic regression. The model performance was assessed and validated with respect to its calibration, discrimination, and clinical usefulness.

RESULTS

Three handcrafted features and three deep-learning features were selected and used to build handcrafted- and deep-signature. The model, which incorporated the handcrafted-signature, deep-signature, and SCC-Ag, showed satisfactory calibration and discrimination in the training cohort (AUC: 0.852, 95% CI: 0.761-0.943) and the validation cohort (AUC: 0.815, 95% CI: 0.711-0.919). Decision curve analysis indicated the clinical usefulness of the radiomics model. The radiomics model yielded greater AUCs than either the radiomics signature (AUC = 0.806 and 0.779, respectively) or the SCC-Ag (AUC = 0.735 and 0.688, respectively) alone in both the training and validation cohorts.

CONCLUSION

The presented radiomics model can be used for preoperative identification of LNM in patients with early-stage CSCC. Its performance outperforms that of SCC-Ag level analysis alone.

ADVANCES IN KNOWLEDGE

A radiomics model incorporated radiomics signature and SCC-Ag levels demonstrated good performance in identifying LNM in patients with early-stage CSCC.

The Adler grade by Doppler ultrasound is associated with clinical pathology of cervical cancer: Implication for clinical management

OBJECTIVE

To analyze the relationship of Adler grade by transvaginal color Doppler flow imaging (TV-CDFI) and the clinical pathological parameters of patients with cervical cancer, and to identify the value of Adler grade in the diagnosis and treatment of cervical cancer.

METHODS

Patients with cervical cancer diagnosed pathologically in our hospital from January 1, 2019 to December 31, 2019 were included, All patients underwent TV-CDFI examination, and the images were divided into 0 to III grades according to the Adler grades, and the correlations between the Adler classification and clinical pathological parameters (clinical stage, mass size, pathological type, squamous cell carcinoma subtype, CA125, CA199) were analyzed.

RESULTS

A total of 162 patients with cervical cancer were included. With the increase of Adler severity, the clinical stage of cervical cancer increased accordingly. the cancer size differed significantly in patients with different Adler grade (p = 0.004); There were significant differences in the level of CA125, CA199 between the squamous cell carcinoma and adenocarcinoma (all p<0.05). the Adler grade was positively related with the clinical stage, pathological type and squamous cell carcinoma subtypes of cervical cancer (all p<0.05), no correlations were found among the Adler grade and the cancer size, CA125, CA199 (all p>0.05). The area under ROC curve of the cervical squamous cell carcinoma predicted by Adler grade based on FIGO results and pathological results was 0.811and 0.762 respectively (all p<0.05).

CONCLUSIONS

Adler grades are closely associated with the clinical pathology of cervical cancer, which may be a convenient and effective approach for the assisting assessment of cervical cancer.

Clinical value of serum squamous cell carcinoma antigen levels in predicting chemosensitivity, lymph node metastasis, and prognosis in patients with cervical squamous cell carcinoma

Background

Our aim was to investigate the value of serum squamous cell carcinoma (SCC) antigen levels in predicting chemosensitivity, lymph node metastasis, as well as prognosis in patients with cervical squamous cell carcinoma who received neoadjuvant chemotherapy (NACT).

Methods

This retrospective study enrolled 103 patients with cervical squamous cell carcinoma and then compared the SCC antigen levels between patients who underwent NACT followed by radical surgery (NACT group) and those who underwent radical surgery alone (conventional group), and a correlation analysis between SCC antigen levels and chemosensitivity, lymph node metastasis, or survival time was conducted.

Results

The SCC antigen levels changed after NACT and were associated with chemosensitivity. Moreover, the optimal cut-off value of the percentage decrease in SCC antigen level after the first chemotherapy (FSCC (%)) was 42.0%, which could be used for assessment of chemosensitivity. The rate of positive lymph nodes in patients with pretreatment SCC antigen levels ≥3.9 ng/mL was significantly decreased after NACT. The overall survival (OS) of NACT group was significantly longer than that of conventional group when the pretreatment SCC antigen levels were ≥ 4.55 ng/mL. The OS and progression-free survival rates of patients with SCC antigen levels < 2.7 ng/mL were longer than those ≥2.7 ng/mL after the first chemotherapy.

Conclusions

The 42.0% of FSCC (%) after NACT is a reliable indicator of chemosensitivity. Pretreatment and posttreatment SCC antigen levels can be used in evaluating the lymph node metastases and prognosis of patients with cervical squamous cell carcinoma.

Can serial evaluation of serum SCC-Ag-level predict tumor recurrence and patient survival in squamous-cell carcinoma of uterine cervix treated with definitive chemoradiotherapy? A multi-institutional analysis

BACKGROUND

Tumor marker screening may be useful to evaluate tumor response and detect tumor recurrence. However, usefulness and cut-off value of squamous-cell carcinoma antigen (SCC-Ag) for recurrence and survival has not yet established in cervical cancer.

METHODS

From January 2010 to October 2016, 304 patients with cervical squamous-cell carcinomas with FIGO stage IB-IVA who underwent curative chemoradiotherapy followed by brachytherapy at four institutions were included in this study. Serum SCC-Ag level was measured before treatment, re-measured after completion of treatment, and again at the time of relapse during follow-up. SCC-Ag levels at each measurement point were analyzed using receiver operating characteristic (ROC) curve. Their associations with recurrence-free survival (RFS) and overall survival (OS) were analyzed.

RESULTS

During a median follow-up time of 36.5 months, there were 66 (21.7%) recurrences and 76 (25.0%) deaths. The ROC curve showed optimal Youden indices were 4, 1.5, and 4 ng/mL at pretreatment, treatment, and recurrence, respectively. In patients with SCC-Ag ≥ 4 ng/mL, not SCC-Ag < 4 ng/mL before treatment, post-treatment SCC-Ag level (≥ 1.5 ng/mL vs. < 1.5 ng/mL) showed significant differences in 3-year RFS (65.5% vs. 45.0%, p < 0.001) and OS (78.5% vs. 55.4%, p < 0.001). In 66 recurrent patients, patients with SCC-Ag ≥ 4 ng/mL at recurrence showed a significantly lower OS rate than others (59.5% vs. 33.0%, p = 0.041).

CONCLUSIONS

SCC-Ag level after treatment and at recurrence was useful for predicting recurrence and survival only when its pretreatment value was high (≥ 4 ng/mL).

The kinetic profile and clinical implication of SCC-Ag in squamous cervical cancer patients undergoing radical hysterectomy using the Simoa assay: a prospective observational study

Background

To study the kinetic profile and clinicopathological implications of squamous cell carcinoma antigen (SCC-Ag) in cervical cancer patients who underwent surgery by a self-developed SCC-Ag single molecule assay (Simoa) prototype immunoassay.

Methods

Participants were prospectively enrolled between 04/2016 and 06/2017. Consecutive serum samples were collected at five points: day 0 (the day before surgery), postoperative day 4, weeks 2–4, months 2–4 and months 5–7. In total, 92 patients and 352 samples were included. The kinetic change in SCC-Ag levels and their associations with clinicopathological characteristics were studied.

Results

Simoa SCC-Ag was validated by comparison with the Architect assay. SCC-Ag levels measured by the Simoa assay were highly correlated with the Architect assay’s levels (Pearson’s correlation coefficient = 0.979, Passing-Bablok regression slope 0.894 (0.847 to 0.949), intercept − 0.009 (− 0.047 to 0.027)). The median values for each time-point detected by the Simoa assay were 2.49, 0.66, 0.61, 0.72, and 0.71 ng/mL, respectively. The SCC-Ag levels decreased dramatically after surgery and then stabilized and fluctuated to some extent within 6 months. Patients with certain risk factors had significantly higher SCC-Ag values than their negative counterparts before surgery and at earlier time points after surgery, while no difference existed at the end of observation. Furthermore, although patients with positive lymph nodes had sustained higher SCC-Ag levels compared to those with negative lymph nodes, similar kinetic patterns of SCC-Ag levels were observed after surgery. Patients who received postoperative treatment had significantly higher SCC-Ag values than those with surgery only at diagnosis, while no difference existed after treatment.

Conclusions

The Simoa SCC-Ag prototype was established for clinical settings. The SCC-Ag levels were higher in patients with risk factors, whereas the kinetic trend of SCC-Ag might be mainly affected by postoperative adjuvant therapy. These data indicate that the SCC-Ag level might be a good predictor for the status of cervical cancer, including disease aggressiveness and treatment response.