Tisotumab Vedotin as Second- or Third-Line Therapy for Recurrent Cervical Cancer.

BACKGROUND: Recurrent cervical cancer is a life-threatening disease, with limited treatment options available when disease progression occurs after first-line combination therapy. METHODS: We conducted a phase 3, multinational, open-label trial of tisotumab vedotin as second- or third-line therapy in patients with recurrent or metastatic cervical cancer. Patients were randomly assigned, in a 1:1 ratio, to receive tisotumab vedotin monotherapy (2.0 mg per kilogram of body weight every 3 weeks) or the investigator's choice of chemotherapy (topotecan, vinorelbine, gemcitabine, irinotecan, or pemetrexed). The primary end point was overall survival. RESULTS: A total of 502 patients underwent randomization (253 were assigned to the tisotumab vedotin group and 249 to the chemotherapy group); the groups were similar with respect to demographic and disease characteristics. The median overall survival was significantly longer in the tisotumab vedotin group than in the chemotherapy group (11.5 months [95% confidence interval {CI}, 9.8 to 14.9] vs. 9.5 months [95% CI, 7.9 to 10.7]), results that represented a 30% lower risk of death with tisotumab vedotin than with chemotherapy (hazard ratio, 0.70; 95% CI, 0.54 to 0.89; two-sided P = 0.004). The median progression-free survival was 4.2 months (95% CI, 4.0 to 4.4) with tisotumab vedotin and 2.9 months (95% CI, 2.6 to 3.1) with chemotherapy (hazard ratio, 0.67; 95% CI, 0.54 to 0.82; two-sided P<0.001). The confirmed objective response rate was 17.8% in the tisotumab vedotin group and 5.2% in the chemotherapy group (odds ratio, 4.0; 95% CI, 2.1 to 7.6; two-sided P<0.001). A total of 98.4% of patients in the tisotumab vedotin group and 99.2% in the chemotherapy group had at least one adverse event that occurred during the treatment period (defined as the period from day 1 of dose 1 until 30 days after the last dose); grade 3 or greater events occurred in 52.0% and 62.3%, respectively. A total of 14.8% of patients stopped tisotumab vedotin treatment because of toxic effects. CONCLUSIONS: In patients with recurrent cervical cancer, second- or third-line treatment with tisotumab vedotin resulted in significantly greater efficacy than chemotherapy. (Funded by Genmab and Seagen [acquired by Pfizer]; innovaTV 301 ClinicalTrials.gov number, NCT04697628.).

Survival with Cemiplimab in Recurrent Cervical Cancer.

BACKGROUND: Patients with recurrent cervical cancer have a poor prognosis. Cemiplimab, the fully human programmed cell death 1 (PD-1)-blocking antibody approved to treat lung and skin cancers, has been shown to have preliminary clinical activity in this population. METHODS: In this phase 3 trial, we enrolled patients who had disease progression after first-line platinum-containing chemotherapy, regardless of their programmed cell death ligand 1 (PD-L1) status. Women were randomly assigned (1:1) to receive cemiplimab (350 mg every 3 weeks) or the investigator's choice of single-agent chemotherapy. The primary end point was overall survival. Progression-free survival and safety were also assessed. RESULTS: A total of 608 women were enrolled (304 in each group). In the overall trial population, median overall survival was longer in the cemiplimab group than in the chemotherapy group (12.0 months vs. 8.5 months; hazard ratio for death, 0.69; 95% confidence interval [CI], 0.56 to 0.84; two-sided P<0.001). The overall survival benefit was consistent in both histologic subgroups (squamous-cell carcinoma and adenocarcinoma [including adenosquamous carcinoma]). Progression-free survival was also longer in the cemiplimab group than in the chemotherapy group in the overall population (hazard ratio for disease progression or death, 0.75; 95% CI, 0.63 to 0.89; two-sided P<0.001). In the overall population, an objective response occurred in 16.4% (95% CI, 12.5 to 21.1) of the patients in the cemiplimab group, as compared with 6.3% (95% CI, 3.8 to 9.6) in the chemotherapy group. An objective response occurred in 18% (95% CI, 11 to 28) of the cemiplimab-treated patients with PD-L1 expression greater than or equal to 1% and in 11% (95% CI, 4 to 25) of those with PD-L1 expression of less than 1%. Overall, grade 3 or higher adverse events occurred in 45.0% of the patients who received cemiplimab and in 53.4% of those who received chemotherapy. CONCLUSIONS: Survival was significantly longer with cemiplimab than with single-agent chemotherapy among patients with recurrent cervical cancer after first-line platinum-containing chemotherapy. (Funded by Regeneron Pharmaceuticals and Sanofi; EMPOWER-Cervical 1/GOG-3016/ENGOT-cx9 ClinicalTrials.gov number, NCT03257267.).

Significance of HIV status in cervical cancer patients receiving curative chemoradiation therapy, definitive radiation alone, or palliative radiation in Botswana.

BACKGROUND: Cervical cancer associated with human papillomavirus has the highest cancer incidence and mortality for women in Botswana because of a high HIV prevalence and limited screening. This study investigates the significance of HIV on the overall survival (OS) of patients with locally advanced cervical cancer by various treatment categories (curative chemoradiation, definitive radiation [RT] alone, or palliative RT alone). METHODS: This study included patients diagnosed with cervical cancer between 2013 and 2020, prospectively enrolled in the Botswana Prospective Cancer Cohort. OS based on HIV status and completion of planned treatment regimen was estimated by the Kaplan-Meier method. Comparisons of 2-year OS by HIV status was performed by the log-rank test, univariate and multivariable Cox analyses adjusting for cancer stage, RT dose, number of chemotherapy cycles, and baseline hemoglobin levels. RESULTS: Of 1131 patients diagnosed with stage IB-IVB cervical cancer, 69.8% were women living with HIV (n = 789). For patients receiving curative chemoradiation, HIV status was not significantly associated with OS in unadjusted (p = .987) and adjusted (p = .578) analyses. For RT only treatment and definitive (high-dose) RT alone, HIV status was significantly associated with OS in unadjusted analysis (HR = 1.77, p = .002; HR = 1.95, p = .014), but not in adjusted analysis (p = .227, p = .73). For patients receiving palliative (low-dose) RT, HIV status was not associated with OS in unadjusted (p = .835) or adjusted analysis (p = .359). CONCLUSIONS: In Botswana, a resource-limited setting, HIV status had no significant effect on 2-year OS in patients with cervical cancer with well-managed HIV receiving chemoradiation, RT alone, or palliative RT. This demonstrates that patients living with HIV receiving antiretroviral treatment can receive clinically appropriate treatment with no evidence that HIV may lead to poorer outcomes.

Pembrolizumab for Persistent, Recurrent, or Metastatic Cervical Cancer.

BACKGROUND: Pembrolizumab has efficacy in programmed death ligand 1 (PD-L1)-positive metastatic or unresectable cervical cancer that has progressed during chemotherapy. We assessed the relative benefit of adding pembrolizumab to chemotherapy with or without bevacizumab. METHODS: In a double-blind, phase 3 trial, we randomly assigned patients with persistent, recurrent, or metastatic cervical cancer in a 1:1 ratio to receive pembrolizumab (200 mg) or placebo every 3 weeks for up to 35 cycles plus platinum-based chemotherapy and, per investigator discretion, bevacizumab. The dual primary end points were progression-free survival and overall survival, each tested sequentially in patients with a PD-L1 combined positive score of 1 or more, in the intention-to-treat population, and in patients with a PD-L1 combined positive score of 10 or more. The combined positive score is defined as the number of PD-L1-staining cells divided by the total number of viable tumor cells, multiplied by 100. All results are from the protocol-specified first interim analysis. RESULTS: In 548 patients with a PD-L1 combined positive score of 1 or more, median progression-free survival was 10.4 months in the pembrolizumab group and 8.2 months in the placebo group (hazard ratio for disease progression or death, 0.62; 95% confidence interval [CI], 0.50 to 0.77; P<0.001). In 617 patients in the intention-to-treat population, progression-free survival was 10.4 months and 8.2 months, respectively (hazard ratio, 0.65; 95% CI, 0.53 to 0.79; P<0.001). In 317 patients with a PD-L1 combined positive score of 10 or more, progression-free survival was 10.4 months and 8.1 months, respectively (hazard ratio, 0.58; 95% CI, 0.44 to 0.77; P<0.001). Overall survival at 24 months was 53.0% in the pembrolizumab group and 41.7% in the placebo group (hazard ratio for death, 0.64; 95% CI, 0.50 to 0.81; P<0.001), 50.4% and 40.4% (hazard ratio, 0.67; 95% CI, 0.54 to 0.84; P<0.001), and 54.4% and 44.6% (hazard ratio, 0.61; 95% CI, 0.44 to 0.84; P = 0.001), respectively. The most common grade 3 to 5 adverse events were anemia (30.3% in the pembrolizumab group and 26.9% in the placebo group) and neutropenia (12.4% and 9.7%, respectively). CONCLUSIONS: Progression-free and overall survival were significantly longer with pembrolizumab than with placebo among patients with persistent, recurrent, or metastatic cervical cancer who were also receiving chemotherapy with or without bevacizumab. (Funded by Merck Sharp and Dohme; KEYNOTE-826 ClinicalTrials.gov number, NCT03635567.).

Survival status and predictors of mortality among cervical cancer patients at oncologic centers in Addis Ababa, Ethiopia: a follow up study.

BACKGROUND: Cervical cancer (CC) ranks as the third most commonly diagnosed cancer and the fourth leading cause of cancer-related deaths among women globally. In Addis Ababa, there is a shortage of available evidence concerning the phenomenon of survival time and its predictors among women diagnosed with CC. Therefore, this study aimed to assess the survival status and predictors of mortality among CC patients at oncologic centers in Addis Ababa, Ethiopia. METHODS: A facility-based retrospective cohort study was conducted among records of women with cervical cancer enrolled from the 1st of January 2017 to the 30th of December 2022 among 252 cervical cancer patients. Data were collected using a pretested, structured data collection checklist by trained data collectors. The Kaplan-Meier survival curve was used to estimate the survival time of the respondents. The Cox multivariable regression model was carried out to identify predictors of CC. Variables with P-value < 0.05 in multivariable analysis were declared as statistically significant. RESULTS: The cumulative proportion of surviving at the end of the 10th and 20th month was 99.6% (95%CI: 97.02, 99.94) and 96.99% (95%CI: 93.41, 98.64), respectively. Similarly, it was 92.67% (95%CI: 87.65, 95.70), 85.9% (95%CI: 78.68, 90.94), 68.0% (95%CI: 57.14, 76.66) and 18.27% (8.38, 31.16) at the end of 30th, 40th, 50th and 60th monthly respectively. The overall median survival time was 54 months (95%CI: 52.6, 55.4). The incidence of death among a cohort of women with CC was 7.34 per 1000 person months. Being anemic (AHR: 4.77; 95%CI: 1.93, 11.77; P-value: 0.001), took a single cancer treatment (AHR: 1.92; 95%CI: 1.01, 3.64; P-value: 0.046) and HIV sero status positive (AHR: 2.05; 95%CI: 1.01, 4.19; P-value: 0.048) were statistically significant in multivariable cox proportional hazard model. CONCLUSION AND RECOMMENDATION: Anemia, treatment initiation and HIV-sero status were independent predictors of mortality among women admitted with CC. It is imperative to enhance early screening initiatives and treatment resources for CC, alongside fostering public awareness through collaboration with various media outlets concerning preventive measures, screening procedures, and treatment alternatives for CC.

[18F]FDG-PET/CT-based risk stratification in women with locally advanced uterine cervical cancer.

BACKGROUND: [18F]FDG-PET/CT is used for staging and treatment planning in patients with locally advanced cervical cancer (LACC). We studied if a PET-based prediction model could provide additional risk stratification beyond International Federation of Gynaecology and Obstetrics (FIGO) staging in our population with LACC to aid treatment decision making. METHODS: In total, 183 patients with LACC treated with chemoradiation between 2013 and 2018 were included. Patients were treated according to FIGO 2009 and retrospectively reclassified according to FIGO 2018 staging system. After validation of an existing PET-based prediction model, the predicted recurrent free survival (RFS), disease specific survival (DSS) and overall survival (OS) at 1, 3, and 5 years, based on metabolic tumor volume (MTV), maximum standardized uptake value (SUVmax) and highest level of [18F]FDG-positive node was calculated. Then the observed survival was compared to the predicted survival. An area under the curve (AUC) close to or higher than 0.7 was considered adequate for accurate prediction. The Youden (J) index defined survival chance cutoff values for low and high risk groups. RESULTS: All AUC values for the comparison between predicted and observed outcomes were > 0.7 except for 5-year RFS and for 5-year OS which were close to 0.7 (0.684 and 0.650 respectively). Cutoff values for low and high risk survival chance were 0.44 for the 3-year RFS and 0.47 for the 5-year OS. The FIGO 2009 system could not differentiate between the risk profiles. After reclassification according to FIGO 2018, all patients with stage IIIC2 and IVB fell in the high risk and almost all patients with stages IB2-IIIB and IVA in the low risk group. In patients with stage IIIC1 disease the FIGO stage cannot discriminate between the risk profiles. CONCLUSIONS: Low and high risk patients with LACC can be identified with the PET-based prediction model. In particular patients with stage IIIC1 need additional risk stratification besides the FIGO 2018 staging. The Kidd model could be a useful tool to aid treatment decision making in these patients. Our results also support the choice of [18F]FDG-PET/CT imaging in patients with LACC.

Neoadjuvant chemotherapy followed by surgery versus concurrent chemoradiotherapy in patients with stage IIB cervical squamous cell carcinoma: a retrospective cohort study.

PURPOSE: This study aims to compare treatment outcomes between neoadjuvant chemotherapy (NACT) followed by surgery and concurrent chemoradiotherapy (CCRT) in patients with stage IIB cervical squamous cell carcinoma (CSCC). MATERIALS AND METHODS: We conducted a retrospective cohort study involving patients with stage IIB CSCC treated at Guangxi Medical University Cancer Hospital between June 2012 and June 2019. We compared overall survival (OS), locoregional-free survival (LRFS), and distant metastasis-free survival (DMFS) between the NACT + surgery and CCRT groups. RESULTS: A total of 257 patients were enrolled: 165 underwent NACT + surgery and 92 received CCRT. Before propensity score matching, the NACT + surgery group exhibited lower 5-year OS (68.2% vs. 85.6%; hazard ratio [HR] = 2.50, 95% confidence interval [CI]: 1.26-4.96; P = 0.009), LRFS (85.2% vs. 96.9%; HR = 5.88, 95% CI: 1.33-25.94; P = 0.019), and DMFS (81.9% vs. 97.4%; HR = 6.65, 95% CI: 1.51-29.23; P = 0.012) compared to the CCRT group. After propensity score matching, OS, LRFS, and DMFS remained worse in the NACT + surgery group compared to the CCRT group. CONCLUSION: NACT followed by surgery is associated with decreased OS, LRFS, and DMFS compared to CCRT among patients with stage IIB CSCC.

Efficacy and safety of different chemotherapy regimens concurrent with radiotherapy in the treatment of locally advanced cervical cancer.

BACKGROUND: Evaluate the efficacy and safety of different chemotherapy regimens concurrent with radiotherapy in treating locally advanced cervical cancer (LACC). METHODS: Retrospective data was collected from LACC patients who were treated at our institution. These patients were categorized into three groups: the single-agent cisplatin (DDP) chemoradiotherapy group, the paclitaxel plus cisplatin (TP) chemoradiotherapy group, and the nanoparticle albumin-bound (nab-) paclitaxel combined with cisplatin (nPP) chemoradiotherapy group. The primary endpoints were overall survival (OS) and progression-free survival (PFS) and the secondary endpoints were objective response rate (ORR) and incidence of adverse events (AEs). RESULTS: A total of 124 patients were enrolled (32 in the DDP group, 41 in the TP group, and 51 in the nPP group). There were differences in OS (P = 0.041, HR 0.527, 95% CI 0.314-0.884) and PFS (P = 0.003, HR 0.517, 95% CI 0.343-0.779) between the three groups. Notably, the 2-year OS rate was significantly higher in the nPP group compared to the DDP group (92.2% vs. 85.4%, P = 0.012). The 2-year PFS rates showed a marked increase in the TP group (78.0% vs. 59.4%, P = 0.048) and the nPP group (88.2% vs. 59.4%, P = 0.001) relative to the DPP group, with multiple comparisons indicating that the 2-year PFS rate was significantly superior in the nPP group versus the DDP group (88.2% vs. 59.4%, P = 0.001). Moreover, the ORR was also significantly higher in the nPP group than in the DDP group (P = 0.013); and no statistically significant differences were found in the incidence of AEs among the groups (P > 0.05). CONCLUSIONS: In LACC treatment, the two cisplatin-based doublet chemotherapy regimens are associated with better outcomes, with the nab-paclitaxel plus cisplatin regimen showing better efficacy than the paclitaxel plus cisplatin regimen. Furthermore, the AEs associated with these regimens were deemed tolerable. These findings could provide a reference for the clinical treatment of LACC. However, further prospective studies are needed to verify it.

A novel prognostic biomarker in progression free survival for patients with cervical cancer, glucose to c-reactive protein ratio (GCR).

BACKGROUND: Cervical cancer is a tumor with high morbidity and mortality. The importance of inflammatory and metabolic parameters affecting progression-free survival (PFS) and overall survival (OS) has been investigated more intensively recently. We aimed to investigate the effect of glucose/c-reactive protein (CRP) ratio [GCR], which shows these two parameters together, on PFS in cervical cancer. METHODS: We retrospectively included 90 patients with adenocarcinoma and squamous cell carcinoma of the cervix. The effects of clinical variables, inflammatory and glycemic parameters on PFS and OS were analyzed by Kaplan-Meier method. The data were compared with the healthy control group of 90 individuals using the independent t test. The effect of parameters on mortality was analyzed using ROC curves and cut off values were determined. RESULTS: Glucose, CRP, CRP/lymphocyte ratio (CLR) and GCR were statistically significant in predicting mortality (p < 0.05). Disease stage, glucose, CRP, CLR and GCR were associated with overall survival. CRP, CLR and GCR were associated with progression-free survival (p < 0.05). In multivariate analysis, GCR was prognostic for PFS (p = 0.025). GCR was statistically significant while compared with the patient and healthy control group (p < 0.001). CONCLUSION: In cervical cancer, GCR rate was found to be prognostic independent of stage. Higher GCR rate was associated with longer PFS duration.

Survival rates in Hispanic/Latinx subpopulations with cervical cancer associated with disparities in guideline-concordant care.

BACKGROUND: Failure to deliver guideline-concordant treatment may contribute to disparities among Hispanic/Latinx cervical cancer patients. This study investigated the association between survival rates in Hispanic/Latinx subpopulations and the provision of guideline-concordant care. METHODS: We analyzed patients with primary cervical cancer from 2004 to 2019 (National Cancer Database). We developed nine quality metrics based on FIGO staging (2009). Clinical and demographic covariates were analyzed using Chi-squared tests. Adjusted associations between receipt of guideline-concordant care and races and ethnicities were analyzed using multivariable marginal Poisson regression models. Adjusted Cox proportional hazard models were utilized to evaluate survival probability. RESULTS: A total of 95,589 patients were included. Hispanic/Latinx and Non-Hispanic Black (NHB) populations were less likely to receive guideline-concordant care in four and five out of nine quality metrics, respectively. Nonetheless, the Hispanic/Latinx group exhibited better survival outcomes in seven of nine quality metrics. Compared to Mexican patients, Cuban patients were 1.17 times as likely to receive timely initiation of treatment in early-stage disease (RR 1.17, 95% CI 1.04-1.37, p < 0.001). Puerto Rican and Dominican patients were, respectively, 1.16 (RR 1.16, 95% CI 1.07-1.27, p < 0.001) and 1.19 (RR 1.19, 95% 1.04-1.37, p > 0.01) times as likely to undergo timely initiation of treatment in early-stage disease. Patients of South or Central American (RR 1.18, 95% CI 1.10-1.27, p < 0.001) origin were more likely to undergo timely initiation of treatment in locally advanced disease. CONCLUSION: Significant differences in survival were identified among our cohort despite the receipt of guideline concordant care, with notably higher survival among Hispanic/Latinx populations.

Survival disparities in non-Hispanic Black and White cervical cancer patients vary by histology and are largely explained by modifiable factors.

PURPOSE: We investigated racial disparities in survival by histology in cervical cancer and examined the factors contributing to these disparities. METHODS: Non-Hispanic Black and non-Hispanic White (hereafter known as Black and White) patients with stage I-IV cervical carcinoma diagnosed between 2004 and 2017 in the National Cancer Database were studied. Survival differences were compared using Cox modeling to estimate hazard ratio (HR) or adjusted HR (AHR) and 95% confidence interval (CI). The contribution of demographic, socioeconomic and clinical factors to the Black vs White differences in survival was estimated after applying propensity score weighting in patients with squamous cell carcinoma (SCC) or adenocarcinoma (AC). RESULTS: This study included 10,111 Black and 43,252 White patients with cervical cancer. Black patients had worse survival than White cervical cancer patients (HR = 1.40, 95% CI = 1.35-1.45). Survival disparities between Black and White patients varied significantly by histology (HR = 1.20, 95% CI = 1.15-1.24 for SCC; HR = 2.32, 95% CI = 2.12-2.54 for AC, interaction p < 0.0001). After balancing the selected demographic, socioeconomic and clinical factors, survival in Black vs. White patients was no longer different in those with SCC (AHR = 1.01, 95% CI 0.97-1.06) or AC (AHR = 1.09, 95% CI = 0.96-1.24). In SCC, the largest contributors to survival disparities were neighborhood income and insurance. In AC, age was the most significant contributor followed by neighborhood income, insurance, and stage. Diagnosis of AC (but not SCC) at ≥65 years old was more common in Black vs. White patients (26% vs. 13%, respectively). CONCLUSIONS: Histology matters in survival disparities and diagnosis at ≥65 years old between Black and White cervical cancer patients. These disparities were largely explained by modifiable factors.

Fertility-sparing surgery vs standard surgery for early-stage cervical cancer: difference in 5-year life expectancy by tumor size.

BACKGROUND: Cervical cancer incidence among premenopausal women is rising, and fertility-sparing surgery serves as an important option for this young population. There is a lack of evidence on what tumor size cutoff should be used to define candidacy for fertility-sparing surgery. OBJECTIVE: We sought to describe how the association between fertility-sparing surgery (compared with standard surgery) and life expectancy varies by tumor size among patients with cervical cancers measuring ≤4 cm in largest diameter. Our secondary objective was to quantify the probability of undergoing adjuvant radiotherapy among patients who underwent fertility-sparing surgery as a function of tumor size. STUDY DESIGN: We identified patients in the National Cancer Database aged ≤45 years, diagnosed with stage I cervical cancer with tumors ≤4 cm between 2006 and 2018, who received no preoperative radiation or chemotherapy, and who underwent either fertility-sparing surgery (cone or trachelectomy, either simple or radical) or standard surgery (simple or radical hysterectomy) as their primary treatment. Propensity-score matching was performed to compare patients who underwent fertility-sparing surgery with those who underwent standard surgery. A flexible parametric model was employed to quantify the difference in life expectancy within 5 years of diagnosis (restricted mean survival time) based on tumor size among patients who underwent fertility-sparing and those who underwent standard surgery. In addition, among those who underwent fertility-sparing surgery, a logistic regression model was used to explore the relationship between tumor size and the probability of receiving adjuvant radiation. RESULTS: A total of 11,946 patients met the inclusion criteria of whom 904 (7.6%) underwent fertility-sparing surgery. After propensity-score matching, 897 patients who underwent fertility-sparing surgery were matched 1:1 with those who underwent standard surgery. Although the 5-year life expectancy was similar among patients who had fertility sparing surgery and those who had standard surgery regardless of tumor sizes, the estimates of life-expectancy differences associated with fertility-sparing surgery were more precise among patients with smaller tumors (1-cm tumor: restricted mean survival time difference, -0.10 months; 95% confidence interval, -0.67 to 0.47) than among those with larger tumors (4-cm tumor: restricted mean survival time difference, -0.11 months; 95% confidence interval, -3.79 to 3.57). The probability of receiving adjuvant radiation increased with tumor size, ranging from 5.6% (95% confidence interval, 3.9-7.9) for a 1-cm tumor to 37% (95% confidence interval, 24.3-51.8) for a 4-cm tumor. CONCLUSION: Within 5 years of diagnosis, young patients with stage I cancers measuring ≤4 cm had similar survival outcomes after either fertility-sparing surgery or standard surgery. However, because few patients with tumors >2 cm underwent fertility-sparing surgery, a clinically important survival difference could not be excluded in this population.

Prognostic prediction of oxidative stress related hematological biomarkers in locally advanced cervical cancer patients undergoing chemoradiotherapy.

OBJECTIVE: This investigation aimed to develop and validate a novel oxidative stress score for prognostic prediction in locally advanced cervical cancer (LACC) patients receiving chemoradiotherapy. METHODS: A total of 301 LACC patients were enrolled and randomly divided into a training and a validation set. The association between oxidative stress parameters and prognosis was analyzed for oxidative stress score (OSS) establishment. A Cox regression model was conducted for overall survival (OS) and progression-free survival (PFS). A nomogram prediction model was developed using independent prognostic factors from the training set and validated in the validation set. RESULTS: A novel OSS was established with four oxidative stress parameters, including albumin, total bilirubin, blood urea nitrogen, and lactate dehydrogenase. Multivariate regression analysis identified OSS as an independent prognostic factor for OS (p = 0.001) and PFS (p < 0.001). A predictive nomogram based on the OSS was established and validated. The C-indexes of the nomogram in the training set were 0.772 for OS and 0.781 for PFS, while in the validation set the C-indexes were 0.642 for OS and 0.621 for PFS. CONCLUSION: This study confirmed that preoperative OSS could serve as a useful independent prognostic factor in LACC patients who received CCRT.

RECIST 1.1 versus clinico-radiological response assessment for locally advanced cervical cancer: implications on interpreting survival outcomes of future trials.

OBJECTIVE: To investigate differences in standard clinico-radiological evaluation versus Response Evaluation Criteria In Solid Tumors (RECIST) 1.1 for reporting survival outcomes in patients with locally advanced cervical cancer treated with chemoradiation and brachytherapy. METHODS: Between November 2017 and March 2020, patients recruited in cervical cancer trials were identified. MRI at diagnosis and at least one follow-up imaging was mandatory. Disease-free survival and progression-free survival were determined using standard evaluation (clinical examination and symptom-directed imaging) and RECIST 1.1. Agreement between criteria was estimated using κ value. Sensitivity analysis was done to test the sensitivity, specificity, and accuracy of RECIST 1.1 in detecting response to treatment. RESULTS: Sixty-nine eligible patients had at least one target lesion. Thirty-three patients (47.8%) had pathological lymph nodes. Of these 33 patients, RECIST 1.1 classified only 18% (6/33) as 'target nodal lesions' and the remaining nodes as 'non-target'. There were 6 (8.7%) and 8 (11.6%) patients with disease events using RECIST 1.1 and standard evaluation, respectively. The disease-free survival at 12, 18, and 24 months using RECIST 1.1 was 94.2%, 91.2%, 91.2%, and with standard evaluation was 94.2%, 89.7%, and 88.2%, respectively (p=0.58). Whereas, progression-free survival at 12, 18, and 24 months using RECIST 1.1 and standard evaluation were same (94.2%, 91.2%, and 91.2%, respectively). The κ value was 0.84, showing strong agreement in assessing disease-free survival, although an absolute difference of 3% between endpoint assessment methodologies. RECIST 1.1 had a sensitivity of 75% (95% CI 34.91% to 96.81%), specificity of 100% (95% CI 94.13% to 100%), and accuracy of 97.1% (95% CI 89.92% to 99.65%). CONCLUSIONS: The study showed 1.5% and 3% difference in disease-free survival at 18 and 24 months and no difference in progression-free survival between RECIST 1.1 and standard evaluation in a patient cohort with low event rate.

Expression patterns of mismatch repair proteins in cervical cancer uncover independent prognostic value of MSH-2.

OBJECTIVE: Although early-detected cervical cancer is associated with good survival, the prognosis for late-stage disease is poor and treatment options are sparse. Mismatch repair deficiency (MMR-D) has surfaced as a predictor of prognosis and response to immune checkpoint inhibitor(s) in several cancer types, but its value in cervical cancer remains unclear. This study aimed to define the prevalence of MMR-D in cervical cancer and assess the prognostic value of MMR protein expression. METHODS: Expression of the MMR proteins MLH-1, PMS-2, MSH-2, and MSH-6 was investigated by immunohistochemical staining in a prospectively collected cervical cancer cohort (n=508) with corresponding clinicopathological and follow-up data. Sections were scored as either loss or intact expression to define MMR-D, and by a staining index, based on staining intensity and area, evaluating the prognostic potential. RNA and whole exome sequencing data were available for 72 and 75 of the patients and were used for gene set enrichment and mutational analyses, respectively. RESULTS: Five (1%) tumors were MMR-deficient, three of which were of neuroendocrine histology. MMR status did not predict survival (HR 1.93, p=0.17). MSH-2 low (n=48) was associated with poor survival (HR 1.94, p=0.02), also when adjusting for tumor stage, tumor type, and patient age (HR 2.06, p=0.013). MSH-2 low tumors had higher tumor mutational burden (p=0.003) and higher frequency of (frameshift) mutations in the double-strand break repair gene RAD50 (p<0.01). CONCLUSION: MMR-D is rare in cervical cancer, yet low MSH-2 expression is an independent predictor of poor survival.

Nomogram based on MRI and clinical features to predict progression-free survival in patients with stage IIIC1r cervical squamous cell carcinoma: A two-center study.

PURPOSE: To develop a nomogram based on MRI and clinical features to predict progression-free survival (PFS) of 2018 FIGO stage ⅢC1r cervical squamous cell carcinoma (CSCC). METHODS: 144 consecutive patients with stage ⅢC1r CSCC from two independent institutions were stratified into training cohort (from Institution 1, n=100) and independent validation cohort (from Institution 2, n=44). Univariate and multivariate Cox regression analyses of MRI and clinical features before treatment were performed to determine independent risk factors for PFS in training cohort. Nomogram was developed based on them. Concordance index (C-index), calibration curves, and receiver operating characteristic (ROC) analyses were performed to assess and validate the nomogram. RESULTS: In training cohort, 2009 FIGO stage, maximum length of the primary tumor, short diameter and roundness index of the maximum metastatic lymph node were independent risk factors of PFS in patients with stage IIIC1r CSCC (all P-values < 0.05). Nomogram based on them to predict 1- and 3-year PFS achieved C-indexes of 0.835 (95% confidence interval (CI): 0.809-0.862) and 0.789 (95%CI: 0.683-0.895) in the training and validation cohorts, respectively. Areas under ROC curves for the nomogram to predict 1- and 3-year PFS were 0.891 (95%CI: 0.829-0.954), 0.921 (95%CI: 0.861-0.981) in training cohort, and 0.902 (95%CI: 0.803-0.999), 0.885 (95%CI: 0.778-0.992) in validation cohort, respectively. Calibration curves indicated the nomogram predictions were in good agreement with actual observations. CONCLUSIONS: The nomogram based on MRI and clinical features has high accuracy and stability in predicting PFS of patients with stage IIIC1r CSCC.

A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.

An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and genes encoding drug targets across multiple genotoxic environments. Guided by the strongest signal, we evaluate thousands of TSG-drug combinations in HeLa cells, resulting in networks of conserved synthetic lethal interactions. Analysis of these networks reveals that interaction stability across environments and shared gene function increase the likelihood of observing an interaction in human cancer cells. Using these rules, we prioritize ∼10(5) human TSG-drug combinations for future follow-up. We validate interactions based on cell and/or patient survival, including topoisomerases with RAD17 and checkpoint kinases with BLM.

Impact of CD44 genetic variants on clinicopathological characteristics of uterine cervical cancer patients.

CD44 genetic variants have been found to be related to various cancers. However, to date, no study has demonstrated the involvement of CD44 polymorphisms in uterine cervical cancer in Taiwanese women. Therefore, we conducted a retrospective study, consecutively recruiting 113 patients with invasive cancer, 92 patients with high-grade cervical intraepithelial neoplasias, and 302 control women to assess the relationships among CD44 polymorphisms, cervical carcinogenesis, and patient survival. Real-time polymerase chain reaction was used to determine the genotypic distributions of six polymorphisms: rs1425802, rs187115, rs713330, rs11821102, rs10836347, and rs13347. The results revealed that women with the mutant homozygous genotype CC exhibited a higher risk of invasive cancer compared to those with the wild homozygous genotype TT [p=0.035; hazard ratio (HR)=10.29, 95% confidence interval (95% CI)=1.18-89.40] and TT/TC [p=0.032; HR=10.66, 95% CI=1.23-92.11] in the CD44 polymorphism rs713330. No significant association was found between CD44 genetic variants and clinicopathological parameters. Among the clinicopathological parameters, only positive pelvic lymph node metastasis (p=0.002; HR=8.57, 95% CI=2.14-34.38) and the AG/GG genotype compared to AA (p=0.014; HR=3.30, 95% CI=1.28-8.49) in CD44 polymorphism rs187115 predicted a higher risk of poor five-year survival, according to multivariate analysis. In conclusion, an important and novel finding revealed that Taiwanese women with the AG/GG genotype in CD44 polymorphism rs187115 exhibited a higher risk of poor five-year survival.

Competing risk nomogram and risk classification system for evaluating overall and cancer-specific survival in neuroendocrine carcinoma of the cervix: a population-based retrospective study.

OBJECTIVE: Neuroendocrine carcinoma of the cervix (NECC) is a rare malignancy with poor clinical prognosis due to limited therapeutic options. This study aimed to establish a risk-stratification score and nomogram models to predict prognosis in NECC patients. METHODS: Data on individuals diagnosed with NECC between 2000 and 2019 were retrieved from the Surveillance Epidemiology and End Results (SEER) database and then randomly classified into training and validation cohorts (7:3). Univariate and multivariate Cox regression analyses evaluated independent indicators of prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis further assisted in confirming candidate variables. Based on these factors, cancer-specific survival (CSS) and overall survival (OS) nomograms that predict survival over 1, 3, and 5 years were constructed. The receiver operating characteristic (ROC) curve, the concordance index (C-index), and the calibration curve estimated the precision and discriminability of the competing risk nomogram for both cohorts. Finally, we assessed the clinical value of the nomograms using decision curve analysis (DCA). RESULTS: Data from 2348 patients were obtained from the SEER database. Age, tumor stage, T stage, N stage, chemotherapy, radiotherapy, and surgery predicted OS. Additionally, histological type was another standalone indicator of CSS prognosis. For predicting CSS, the C-index was 0.751 (95% CI 0.731 ~ 0.770) and 0.740 (95% CI 0.710 ~ 0.770) for the training and validation cohorts, respectively. Furthermore, the C-index in OS prediction was 0.757 (95% CI 0.738 ~ 0.776) and 0.747 (95% CI 0.718 ~ 0.776) for both cohorts. The proposed model had an excellent discriminative ability. Good accuracy and discriminability were also demonstrated using the AUC and calibration curves. Additionally, DCA demonstrated the high clinical potential of the nomograms for CSS and OS prediction. We constructed a corresponding risk classification system using nomogram scores. For the whole cohort, the median CSS times for the low-, moderate-, and high-risk groups were 59.3, 19.5, and 7.4 months, respectively. CONCLUSION: New competing risk nomograms and a risk classification system were successfully developed to predict the 1-, 3-, and 5-year CSS and OS of NECC patients. The models are internally accurate and reliable and may guide clinicians toward better clinical decisions and the development of personalized treatment plans.