Pelvic Node Metastasis Research Articles

Safety and efficacy of a modified technique of laparoscopic radical hysterectomy for cervical cancer.

Objective to investigate the feasibility, safety, and short-term efficacy of laparoscopic radical hysterectomy without uterine lifter combined with self-locking nylon band. The clinical data of 152 patients who underwent a laparoscopic radical hysterectomy in the Department of gynecology and oncology of Changzhou maternal and child health hospital from January 2017 to June 2020 were analyzed retrospectively, including 97 patients who used uterine lifter (traditional laparoscopic radical hysterectomy) and 55 patients who underwent operation without uterine lifter but combining with self-locking nylon band (modified laparoscopic radical hysterectomy). The differences in operation time, intraoperative blood loss, the width of excised parauterine tissue, the length of the excised vaginal wall, postoperative pathology and short-term prognosis between the two groups were compared and analyzed. There were no significant differences between the two groups in operation time, intraoperative blood loss, the width of parauterine tissue, and the length of the vaginal wall (p > 0.05). There were no significant differences in the number of lymph nodes, pelvic lymph node metastasis rate and depth of cervical interstitial infiltration between the two groups (p > 0.05), the infiltration rate of lymphatic vascular space in the traditional group was higher than that in the improved group (p < 0.05). It is feasible and safe for laparoscopic radical hysterectomy without uterine lifter combining with a self-locking nylon band to seal the vaginal wall. The uterine lifter may lead to lymphatic vascular space infiltration of tumor cells.

Computed tomography texture analysis for the prediction of lateral pelvic lymph node metastasis of rectal cancer

BackgroundThis study aimed to investigate the usefulness of computed tomography (CT) texture analysis in the diagnosis of lateral pelvic lymph node (LPLN) metastasis of rectal cancer.MethodsThis was a retrospective cohort study of 45 patients with rectal cancer who underwent surgery with LPLN dissection at Tokushima University Hospital from January 2017 to December 2021. The texture analysis of the LPLNs was performed on preoperative CT images, and 18 parameters were calculated. The correlation between each parameter and pathological LPLN metastasis was evaluated. The texture parameters were compared between pathologically metastasis-positive LPLNs and metastasis-negative LPLNs.ResultsA total of 40 LPLNs were extracted from 25 patients by preoperative CT scans. No LPLNs could be identified in the remaining 19 patients. Eight of the 25 patients had pathologically positive LPLN metastasis. Extracted LPLNs were analyzed by the texture analysis. Pathologically metastasis-positive LPLNs had significantly lower mean Hounsfield unit, gray-level co-occurrence matrix (GLCM) energy, and GLCM Entropy_log2 values, and a significantly larger volume than pathologically metastasis-negative LPLNs. Multivariate analysis revealed that the independent predictive factors for LPLN metastasis were volume (a conventional parameter) (odds ratio 7.81, 95% confidence interval 1.42–43.1, p value 0.018) and GLCM Entropy_log2 (a texture parameter) (odds ratio 12.7, 95% confidence interval 1.28–126.0, p value 0.030). The combination of both parameters improved the diagnostic specificity while maintaining the sensitivity compared with each parameter alone.ConclusionCombining the CT texture analysis with conventional diagnostic imaging may increase the accuracy of the diagnosis of LPLN metastasis of rectal cancer.

Development and validation of a nomogram for predicting pelvic lymph node metastasis and prognosis in patients with cervical cancer.

ObjectiveCervical cancer (CC) is one of the main causes of death among gynecological malignancies. Patients with CC with lymph node metastasis (LNM) have poor prognoses. We investigated the risk factors and prognosis of LNM in patients with CC patients using data from the SEER database.MethodsWe collected the information of cervical cancer patients registered in SEER database from 2010 to 2015. The dataset was divided into a training set and a validation set at a 7:3 ratio. LASSO regression analysis was used to evaluate risk factors for LNM in patients with CC. Using the results, we established a nomogram prediction model. C-index, ROC curves, calibration curves, decision curve analysis, and clinical impact curves were used to evaluate the prediction performance of the model.ResultsWe included 14,356 patients with CC in the analysis. Among these, 3997 patients were diagnosed with LNM. A training set (10,050 cases) and a validation set (4306 cases) were used for the following analysis. We established nomogram LNM prediction models for the patients with T1-2-stage CC. The C-indices for the internal and external validations of the prediction models were 0.758 and 0.744, respectively. In addition, we established a prognostic nomogram for all CC patients with LNM, and the internal and external validation C-indices were 0.763 and 0.737.ConclusionWe constructed a quantitative and visual predictive nomogram that predicted prognosis of patients with LNM in CC to provide clinicians with a reference for diagnosis and treatment.

The study of clinicopathologic features of cervical squamous carcinoma with invasive micropapillary like pattern and phenotype.

Invasive micropapillary carcinoma has been reported in the adenocarcinoma of many organs including cervix, and many studies have proved it has more invasive biological behavior. This study, for the first time, reports cervical squamous carcinoma with invasive micropapillary like pattern and phenotype (IMLPP) and further investigates its clinicopathologic features. Cervical squamous carcinoma with IMLPP was selected by histological characteristics and immunohistochemical staining. All patients' clinical information and pathological parameters were collected. Based on histological characteristics and immunohistochemical staining results, 24 cases, out of 104 cases of cervical squamous carcinoma, were identified as having invasive micropapillary like pattern. The staining of all 24 cases with EMA and MUC-1 showed the feature of "reverse polarity like". Meanwhile, patient age at diagnosis (P=0.011), maximum invasion depth (P=0.001), maximum diameter (P=0.015), lymphvascular space invasion (P<0.001), pelvic lymph node metastasis (P<0.001), metastasis (P=0.020), death (P=0.025) and FIGO stages (P=0.001) were related to the existence of IMLPP, independently of the proportion of IMLPP to the whole tumor in size. Univariate and multivariate disease-free survival analyses (follow-up time >12 months) showed significant statistical difference between cervical squamous carcinoma with or without IMLPP (P=0.016, P=0.043). Results from our study suggested that IMLPP may be associated with aggressive biological behavior in cervical squamous carcinoma. Therefore, pathologists should pay attention to the existence of it, no matter its proportion with relation to the whole tumor, and bring it to the attention of clinicians.

Diagnostic value of integrated 18F-FDG PET/MRI for staging of endometrial carcinoma: comparison with PET/CT

PurposeTo explore the diagnostic value of integrated positron emission tomography/magnetic resonance imaging (PET/MRI) for the staging of endometrial carcinoma and to investigate the associations between quantitative parameters derived from PET/MRI and clinicopathological characteristics of endometrial carcinoma. MethodsAltogether, 57 patients with endometrial carcinoma who underwent PET/MRI and PET/computed tomography (PET/CT) preoperatively were included. Diagnostic performance of PET/MRI and PET/CT for staging was compared by three readers. Associations between PET/MRI quantitative parameters of primary tumor lesions and clinicopathological characteristics of endometrial carcinoma were analyzed. Histopathological results were used as the standard.ResultsThe overall accuracy of the International Federation of Gynecology and Obstetrics (FIGO) staging for PET/MRI and PET/CT was 86.0% and 77.2%, respectively. PET/MRI had higher accuracy in diagnosing myometrial invasion and cervical invasion and an equivalent accuracy in diagnosing pelvic lymph node metastasis against PET/CT, although without significance. All PET/MRI quantitative parameters were significantly different between stage I and stage III tumors. Only SUVmax/ADCmin were significantly different between stage I and II tumors. No parameters were significantly different between stage II and III tumors. The SUVmax/ADCmin in the receiving operating characteristic (ROC) curve had a higher area under the ROC curve for differentiating stage I tumors and other stages of endometrial carcinoma.ConclusionsPET/MRI had a higher accuracy for the staging of endometrial carcinoma, mainly for FIGO stage I tumors compared to PET/CT. PET/MRI quantitative parameters, especially SUVmax/ADCmin, were associated with tumor stage and other clinicopathological characteristics. Hence, PET/MRI may be a valuable imaging diagnostic tool for preoperative staging of endometrial carcinoma.

OP-22 - Efficacy and immune-related adverse events of ipilimumab and nivolumab combination therapy for a vaginal malignant melanoma

Vaginal malignant melanoma is a rare and aggressive tumor, and the standard treatment has not been established. Recently, immune checkpoint inhibitors via PD-1 and CTLA-4 have caused breakthroughs of standard therapy for cutaneous malignant melanoma. However, there are still limited reports of immune checkpoint inhibitors for vaginal malignant melanoma. 50-years-old woman, G1P1. She visited our hospital to evaluate abnormal genital bleeding for several months and vaginal tumors. Her pelvic examination and pelvic MRI showed a 4 cm blackish, polypoid tumor in the vagina. Histological examination of biopsy diagnosed malignant melanoma. Contrast-enhanced CT showed pelvic lymph node metastasis. Finally, she was diagnosed with vaginal malignant melanoma, cT1N1M0. The BRAF gene was wild type. She started ipilimumab (3 mg/kg, tri-weekly) plus nivolumab (1 mg/kg, tri-weekly) combination therapy. At the end of the 3rd course, autoimmune hepatitis (grade 4) and thyroiditis were observed. They were considered immune-related adverse events. Intravenous methylprednisolone pulse and Mycophenolate Mofetil slowly improved liver function. The 4 cm-sized vaginal tumor shrank to under 1 cm, and the enlarged lymph nodes disappeared. Currently, we are considering surgical intervention and/or maintenance chemotherapy with nivolumab alone. We experienced a combination therapy of ipilimumab + nivolumab for vaginal malignant melanoma. While the combination therapy was highly effective, severe immune-related adverse events were observed. There are also reports that cases with immune-related adverse events have a high response rate. It was considered necessary to accumulate experience of immune checkpoint inhibitors for vaginal malignant melanoma in the future.

Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T2-weighted imaging.

Pelvic lymph node metastasis (PLNM) is an important factor that affects the stage and prognosis of prostate cancer. Invasive extended pelvic lymph node dissection (ePLND) is the most effective method for clinically diagnosing PLNM. Accurate preoperative prediction of PLNM can reduce unnecessary ePLND. This study aims to investigate the clinical value of radiomics nomogram in predicting PLNM of prostate cancer based on T2-weighted imaging (T2WI). Magnetic resonance (MR) data of 71 patients with prostate cancer who underwent ePLND from January 2017 to June 2021 in Peking University First Hospital were collected retrospectively. All patients were assigned into a training set (January 2017 to December 2020, n=56, containing 186 lymph nodes) and a test set (January 2021 to June 2021, n=15, containing 45 lymph nodes) according to the examination time of multiparametric magnetic resonance imaging (mpMRI). Two radiologists matched the dissected lymph nodes on MRI images, and manually annotated the region of interest (ROI). Based on the outlined ROI, 3 metastatic lymph node prediction models were established: Model 1 (only image features of T2WI), Model 2 (radiomics features based on random forest), and Model 3 (combination of the image and radiomics features). A nomogram was also established. The clinicopathologic characteristics of the patients were obtained from the medical records, including age, the Gleason score, the level of prostate-specific antigen (PSA), and clinical and pathological T stage. The preoperative radiological features of the pelvic lymph nodes (LNs) include size of LNs (the short and long diameters) and volume of LNs. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy of the 3 models and decision curve analysis (DCA) was used to evaluate the clinical benefits of the models. No significant differences were found between the training set and test set regarding age, Gleason scores, PSA level, and clinical and pathological T stage (all P>0.05). The differences in volume, short diameter and long diameter between metastatic and non-metastatic LNs were statistically significant in both training set and test set (all P<0.05). In multivariate regression analysis, the short diameter and marginal status of LNs were included in Model 1. Eighteen omics features were selected to construct Model 2. The signal distribution of LNs and Rad score were the significant risk factors for predicting metastasis of pelvic LNs in Model 3. The C-index of nomogram based on Model 3 reached 0.964, and the calibration curve showed that the model had high calibration degree. In the test set, the area under the curves of Model 1, 2, and 3 were 0.78, 0.93, and 0.96 respectively, Model 2 and Model 3 showed significantly higher diagnostic efficiency than Model 1 (Model 1 vs Model 2, P=0.019; Model 1 vs Model 3, P=0.020). There was no significant difference in the area under the curve between Model 2 and Model 3 (P=0.649). The DCA results of the 3 models showed that all models obtained higher net benefits than the PLNM-all or PLNM-none protocol in different ranges of threshold probabilities and Model 3 had the highest clinical benefit. The radiomics nomogram based on T2WI shows a good predictive efficacy for preoperative PLNM in patients with prostate cancer, which could be served as an imaging biomarker to optimize decision-making and adjust adjuvant treatments.

The value of the SUV ratio between lymph node and bone marrow in predicting pelvic lymphatic metastasis of patients with locally advanced cervical cancer: an integrated PET/CT study.

PurposeThis study aimed to evaluate the value of the standardized uptake value (SUV) ratio between lymph nodes and bone marrow (BM) measured by Fluorine-18-fluorodeoxyglucose PET and computed tomography (18F-FDG PET/CT) for predicting pelvic lymph node (PLN) metastasis in patients with locally advanced cervical cancer (LACC).Materials and methodsA total of 62 patients with pathological stage Ib-IVa cervical cancer who underwent 18F-FDG PET/CT before treatment were reviewed retrospectively. We measured the metabolic and morphological parameters of lymph nodes and primary tumors, bone marrow SUV (SUVBM) and calculated the ratio of lymph nodes maximum SUV (SUVmax) to bone marrow SUV (SUVLN/BM) and the ratio of short-axis diameter to long-axis diameter (Ds/l) of lymph nodes. A receiver operating characteristic (ROC) curve was performed to evaluate the diagnostic efficacy of each parameter.ResultsThere were 180 lymph nodes with pathological evidence included in the study. Our results indicated that Ds/l, SUVmax of lymph nodes (SUVLN) and SUVLN/BM were independent risk factors for PLN metastasis in LACC (P < 0.05), and SUVLN/BM showed the best diagnostic performance by ROC curve analysis. The SUVBM in the anemia group was significantly higher than that in the nonanemia group (3.05 vs. 2.40, P < 0.05); furthermore, false-positive cases decreased when the SUVLN/BM was used as the diagnostic criterion instead of SUVLN, especially in the anemia group. ROC curve analysis showed that the area under the curve value of the combination of SUVLN/BM and Ds/l was 0.884 (P < 0.05), which was higher than Ds/l or SUVLN/BM alone.ConclusionsSUVLN/BM could improve the ability to predicting PLN metastasis in patients with LACC, and the diagnostic efficacy of the combination of SUVLN/BM and Ds/l might be better than that of a single parameter.

A pre-operative radiological score to predict lymph node metastasis in advanced epithelial ovarian cancer

BackgroundLymphadenectomy is part of cytoreductive surgery for patients with advanced epithelial ovarian cancer (AEOC) in case of abnormal lymph nodes before and during surgery. The aim of this study was to develop and validate a pre-operative radiological score to predict pelvic and/or para-aortic lymph node metastasis (LNM) in patients with AEOC undergoing cytoreductive surgery. MethodsWe conducted a multicentre retrospective study. The construction sample was composed of 53 patients operated within two referral centers. The validation sample was composed of 39 patients operated in a third referral center. The score was built with a logistic regression model with internal validation by bootstrap. ResultsTwo variables were associated with the prediction of pelvic and/or para-aortic LNM at computerized tomography (CT) and/or positron emission tomography (PET/CT): “para-aortic lymph node involvement” (adjusted diagnostic odds ratio) (aDOR) = 8.77 95CI [1.42–54.09], p = 0.02) and “colon involvement” (aDOR = 7.97 95CI [1.28–49.58], p = 0.03). Bootstrap procedure showed that the model was stable. The 2-points LNM pre-operative radiological score was derived from these 2 radiological variables and a high-risk group was identified for a score ≥ 1: the probability of pelvic and/or para-aortic LNM was 76%, the specificity was 85.7% 95CI [67.3–96.0] and the positive likelihood ratio was 3.6 95CI [1.4–9.7]. In the validation sample, a score ≥ 1 had a specificity of 78.3% and a LR+ of 1.2. ConclusionLNM pre-operative radiological score could help the surgeon's decision to perform pelvic and para-aortic lymphadenectomy in patients with AEOC undergoing cytoreductive surgery. Trial registrationThe research protocol was approved by the Ethics Committee for Research in Obstetrics and Gynecology (CEROG 2016-GYN 1003).

Cost-effectiveness of the implementation of [68Ga]Ga-PSMA-11 PET/CT at initial prostate cancer staging

BackgroundDespite its high specificity, PSMA PET/CT has a moderate to low sensitivity of 40–50% for pelvic lymph node detection, implicating that a negative PSMA PET/CT cannot rule out lymph node metastases. This study investigates a strategy of implementing PSMA PET/CT for initial prostate cancer staging and treatment planning compared to conventional diagnostics. In this PSMA PET/CT strategy, a bilateral extended pelvic lymph node dissection (ePLND) is only performed in case of a negative PSMA PET/CT; in case of a positive scan treatment planning is solely based on PSMA PET/CT results.MethodA decision table and lifetime state transition model were created. Quality-adjusted life years and health care costs were modelled over lifetime.ResultsThe PSMA PET/CT strategy of treatment planning based on initial staging with [68Ga]Ga-PSMA-11 PET/CT results in cost-savings of €674 and a small loss in quality of life (QoL), 0.011 QALY per patient. The positive effect of [68Ga]Ga-PSMA-11 PET/CT was caused by abandoning both an ePLND and unnecessary treatment in iM1 patients, saving costs and resulting in higher QoL. The negative effect was caused by lower QoL and high costs in the false palliative state, due to pN1lim patients (≤ 4 pelvic lymph node metastases) being falsely diagnosed as iN1ext (> 4 pelvic lymph node metastases). These patients received subsequently palliative treatment instead of potentially curative therapy.ConclusionInitial staging and treatment planning based on [68Ga]Ga-PSMA-11 PET/CT saves cost but results in small QALY loss due to the rate of false positive findings.

Effective dissecting range and prognostic significance of lateral pelvic lymph node dissection for middle-low rectal cancer patients with lateral pelvic lymph node metastasis: Results of a large multicenter lateral node collaborative group in China.

BackgroundLateral pelvic lymph node (LPN) metastasis causes increased lateral local recurrence and poor prognosis. We aimed to investigate the prognostic significance and effective range of dissection for the LPN dissection (LPND) in rectal cancer patients with LPN metastasis.Materials and methodsThrough this large, multicenter retrospective cohort study, we evaluated the therapeutic effect of LPND. From January 2012 to December 2019, 387 rectal cancer patients with clinical evidence of LPN metastasis who underwent total mesorectal excision with LPND were included in the study. According to pathological findings, they were divided into negative (n = 296) and positive (n = 91) LPN groups. Primary endpoints were 3-year overall survival (OS), recurrence-free survival (RFS), and local recurrence-free survival (LRFS).ResultsThe OS, RFS, and LRFS in the positive group were significantly worse than those in the negative group; However, LPN metastases were not independent prognostic risk factors for LRFS (hazard ratio [HR]: 2.42; 95% confidence interval [CI], 0.77–7.64; P=0.132). Among patients with pathological LPN metastases, LPN metastases to the common and external iliac arteries were independent prognostic risk factors both for OS (HR: 4.74; 95% CI, 1.74–12.90; P=0.002) and RFS (HR: 2.70; 95% CI, 1.16–6.29; P=0.021). No significant difference was observed in the 3-year OS (72.3% vs. 70.2%, P=0.775) and RFS rates (60.9% vs. 52.6%, P=0.408) between patients with metastases to the obturator or internal iliac arteries and patients at N2b stage.ConclusionsLPND may be effective in controlling local recurrence in patients with LPN metastasis but not systemic metastases. Patients with LPN metastasis limited to the internal iliac and obturator regions achieve a long-term survival benefit from LPND, and their prognoses may be comparable to those at the N2b stage. Further metastasis to the external iliac or common iliac region should be considered systemic disease, and LPND should be avoided.Clinical Trial Registration ClinicalTrials.gov, identifier NCT04850027.

Significance of the Number and the Location of Metastatic Lymph Nodes in Locally Recurrent or Persistent Cervical Cancer Patients Treated with Salvage Hysterectomy plus Lymphadenectomy.

We retrospectively investigated the significance of metastatic lymph nodes in patients with locally recurrent or persistent cervical cancer in a previously irradiated field and subsequently had salvage hysterectomy. Clinical data were obtained from a chart review, and the prognostic impact of the presence, number (1–2 versus ≥3), and location (pelvic versus pelvic plus para-aortic) of lymph node metastasis was investigated by comparing recurrence and survival. In total, 50 patients were included in this study, of which 21 (42.0%) showed pathological evidence of lymph node metastasis (node-positive group). Both the univariate and multivariate analyses showed that lymph node metastasis was an independent prognostic factor for postoperative recurrence (hazard ratio (HR) 5.36; 95% CI 1.41–6.66; p = 0.0020). The predominant sites of recurrence after salvage surgery were the visceral organs and lymph nodes in the node-negative and node-positive groups, respectively. Patients with ≥3 node metastases showed similar survival to those with 1–2 node metastases. Patients with pelvic node metastasis showed similar survival to those with pelvic and para-aortic node metastases. The presence, not number or location, of lymph node metastasis was an independent poor prognostic factor for post-operative recurrence in patients who developed locally recurrent or persistent cervical cancer treated with salvage hysterectomy plus lymphadenectomy.

Development and External Validation of a Preoperative Nomogram for Predicting Lateral Pelvic Lymph Node Metastasis in Patients With Advanced Lower Rectal Cancer.

BackgroundThe preoperative prediction of lateral pelvic lymph node (LPLN) metastasis is crucial in determining further treatment strategies for advanced lower rectal cancer patients. In this study, we established a nomogram model to preoperatively predict LPLN metastasis and then externally validated the accuracy of this model.MethodsA total of 287 rectal cancer patients who underwent LPLN dissection were included in this study. Among them, 200 patients from the Peking University First Hospital were included in the development set, and 87 patients from the First Affiliated Hospital of Xi’an Jiaotong University were included in the independent external validation set. Multivariate logistic regression analysis was used to develop the nomogram. The performance of the nomogram was assessed based on its calibration, discrimination, and clinical utility.ResultsFive factors (differentiation grade, extramural vascular invasion, distance of the tumor from the anal verge, perirectal lymph node status, and largest short-axis diameter of LPLN) were identified and included in the nomogram. The nomogram developed based on the analysis showed robust discrimination with an area under the receiver operating characteristic curve (AUC) of 0.878 (95% CI, 0.824–0.932). The validation set showed good discrimination with an AUC of 0.863 (95% CI, 0.779–0.948). Decision curve analysis showed that the nomogram was clinically useful.ConclusionsThe present study proposed a clinical-imaging nomogram with a combination of clinicopathological risk factors and imaging features. After external verification, the predictive power of the nomogram model was satisfactory, and it is expected to be a convenient, visual, and personalized clinical tool for assessing the risk of LPLN metastasis in advanced lower rectal cancer patients.

Diagnostic Value of Multimodal Magnetic Resonance Imaging in Discriminating Between Metastatic and Non-Metastatic Pelvic Lymph Nodes in Cervical Cancer.

BackgroundThe status of pelvic lymph node (PLN) metastasis affects treatment and prognosis plans in patients with cervical cancer. However, it is hard to be diagnosed in clinical practice.PurposeThe present study aimed to evaluate the diagnostic value of multimodal magnetic resonance imaging (MRI) in discriminating between metastatic and non-metastatic pelvic lymph nodes (PLNs) in cervical cancer.MethodsThis retrospective study analyzed MRIs of 209 PLNs in 25 women with pathologically proven cervical cancer. All PLNs had been assessed by pre-treatment multimodal MRIs, and their status was finally confirmed by histopathology. In conventional MRI, lymph node characteristics were compared between metastatic and non-metastatic PLNs. Signal intensity, time–intensity curve (TIC) patterns minimal and mean apparent diffusion coefficients (ADC) were compared between them in DWI. In DCE-MRI, quantitative (Ktrans, Kep and Ve) analyses were performed on DCE-MRI sequences, and their predictive values were analyzed by ROC curves.ResultsOf 209 PLNs, 22 (10.53%) were metastases and 187 (89.47%) were non-metastases at histopathologic examination. Considering a comparison of lymph node characteristics, the short axis size, the long axis size, and the boundary differed significantly between the two groups (P<0.05).The differences in ADCmin, TIC types, Ktrans and Ve between metastatic and non-metastatic PLNs were significant as well (P<0.05). The good diagnostic performance of multimodal MRI was shown in discriminating between metastatic and non-metastatic PLNs, with the sensitivity of 85.0% (17/20), specificity of 97.3% (184/189), and accuracy of 96.2% (201/209). ROC analyses showed that the diagnostic accuracy of ADCmin, Ktrans and Ve for discriminating between metastatic and non-metastatic PLNs in cervical cancer was 83.7%, 91.4%, and 92.4% with the cut-off values of 0.72 × 10−3mm2/s, 0.52 min−1, and 0.53 min−1, respectively.ConclusionMultimodal MRI showed good diagnostic performance in determining PLN status in cervical cancer.

Preoperative Prediction Value of Pelvic Lymph Node Metastasis of Endometrial Cancer: Combining of ADC Value and Radiomics Features of the Primary Lesion and Clinical Parameters

Objective To investigate the value of apparent diffusion coefficient (ADC) value of endometrial cancer (EC) primary lesion and magnetic resonance imaging (MRI) three-dimensional (3D) radiomics features combined with clinical parameters for preoperative prediction of pelvic lymph node metastasis (PLNM). Methods A total of 136 patients with EC confirmed by postoperative pathology were retrospectively reviewed and analyzed. Patients were randomly divided into training set (n = 95) and test set (n = 41) at a ratio of 7 : 3. Radiomics features based on T2WI, DWI, and contrast-enhanced T1WI (CE-T1WI) sequence were extracted and screened, and then radiomics score (Rads-score) was calculated. Clinical parameters and ADC value of EC primary lesion were measured and collected, and their correlation with PLNM was analyzed. Receiver operating characteristic (ROC) curve was plotted to assess the diagnostic efficacy of the model. A nomogram for PLNM was created based on the multivariate logistic regression model. Results The ADC value of the EC primary lesion showed inverse correlation with PLNM, while CA125 and Rads-score were positively associated with PLNM. A predictive model was proposed based on ADC value, Rads-score, CA125, and MR-reported pelvic lymph node status (PLNS) for PLNM in EC. The area under the curve (AUC) of the model is 0.940; the sensitivity and specificity (87.1% and 90.6%) of the model were significantly higher than that of the MRI morphological signs. Conclusion A combination of ADC value, MRI 3D radiomics features of the EC primary lesion, and clinical parameters generated a prediction model for PLNM in EC and had a good diagnostic performance; it was a useful supplement to MR-reported PLNS based on MRI morphological signs.

Preoperative prediction of pelvic lymph nodes metastasis in prostate cancer using an ADC-based radiomics model: comparison with clinical nomograms and PI-RADS assessment.

To develop and test radiomics models based on manually corrected or automatically gained masks on ADC maps for pelvic lymph node metastasis (PLNM) prediction in patients with prostate cancer (PCa). A primary cohort of 474 patients with PCa who underwent prostate mpMRI were retrospectively enrolled for PLNM prediction between January 2017 and January 2020. They were then randomly split into training/validation (n = 332) and test (n = 142) groups for model development and internal testing. Four radiomics models were developed using four masks (manually corrected/automatic prostate gland and PCa lesion segmentation) based on the ADC maps using the primary cohort. Another cohort of 128 patients who underwent radical prostatectomy (RP) with extended pelvic lymph node dissection (ePLND) for PCa was used as the testing cohort between February 2020 and October 2021. The performance of the models was evaluated in terms of discrimination and clinical usefulness using the area under the curve (AUC) and decision curve analysis (DCA). The optimal radiomics model was further compared with Memorial Sloan Kettering Cancer Center (MSKCC) and Briganti 2017 nomograms, and PI-RADS assessment. 17 (13.28%) Patients with PLNM were included in the testing cohort. The radiomics model based on the mask of automatically segmented prostate obtained the highest AUC among the four radiomics models (0.73 vs. 0.63 vs. 0.70 vs. 0.56). Briganti 2017, MSKCC nomograms, and PI-RADS assessment-yielded AUCs of 0.69, 0.71, and 0.70, respectively, and no significant differences were found compared with the optimal radiomics model (P = 0.605-0.955). The radiomics model based on the mask of automatically segmented prostate offers a non-invasive method to predict PLNM for patients with PCa. It shows comparable accuracy to the current MKSCC and Briganti nomograms.

Recurrent advanced rectal malignant melanoma that discontinued anti‐PD‐1 antibody after complete response and was refractory to rechallenge

We report a case of 70-year-old woman with rectal malignant melanoma that recurred in the pelvic lymph node one year after surgery. Nivolumab was initiated and she achieved complete response after one year, but she discontinued nivolumab at her instance. At a follow-up 21 months after the discontinuation of nivolumab, a pelvic lymph node metastasis recurrence and a lung metastasis discovered. Nivolumab rechallenge was initiated, but it was not successful.

Abstract 769: Genomic and transcriptomic characterization of benign and malignant struma ovarii

Abstract Background: Struma Ovarii (SO) is a rare ovarian teratoma characterized by the presence of thyroid tissue in &amp;gt;50% of the tumor. The majority of SO are benign; however, malignant transformation occurs in up to 5% of the cases. The molecular foundations of benign and malignant SO are grossly unknown. Therefore, the goal of this study was to perform the first comprehensive genomic and transcriptomic analysis of the benign and malignant SO. Material and Method: We performed whole-exome sequencing (WES) and targeted RNA-sequencing (seq) on the DNA and RNA extracted from formalin-fixed paraffin-embedded SO tumor tissue samples. WES library was prepared using Agilent’s SureSelect XT HS2 kit, with 4 samples failing the quality assessment (QA). Variants were called from GATK processed WES data and annotated using VEP (with ClinVar and COSMIC databases). The targeted RNA-Seq library was prepared using the TruSight RNA Pan-Cancer Panel kit covering 1385 cancer genes, with all samples passing QA. The clinical characteristics of the study cohort were summarized by percentages for categorical variables and medians with 25-75% interquartile ranges for continuous variables. Results: The study included 31 tissue samples - 21 benign and 10 malignant, including 6 cases of papillary thyroid cancer (PTC), 3 of follicular variant of PTC, and 1 of follicular thyroid cancer. Patients with benign SO were characterized by the median age at diagnosis of 39 years [33-54], tumor size of 3.1 cm [2.5-5.8], while the patients with malignant SO presented at age of 45 [28-54], tumor size of 6 cm [0.85-14] and metastatic disease in 30% (3/10) - 2 patients with peritoneal metastases and 1 patient with pelvic lymph node metastases. The E1A Binding Protein P300, EP300 (6/27), and Isocitrate dehydrogenase, IDH2 (5/27) were the topmost mutated genes in the SO samples. Malignant SO samples were characterized with the presence of pathogenic variants of KRAS (pQ61L and pG12V), NRAS (pQ61R), TP53 (splice site) mutations, and Nuclear Receptor Binding SET Domain Protein 1 (NSD1) fusion as the most common molecular drivers. Among benign SO samples, the most common driver was Thyroglobulin (TG) fusion with either Guanine Nucleotide binding protein (GNAS) or Rac Family Small GTPase 1 (RAC1). Differential expression analysis showed that the member of tumor suppressor family - tumor protein 63 (TP63) was the most downregulated (Log2FC = -3), while Double-sex and Mab-3 Related Transcription Factor 1 (DMRT1), implicated in the development of germ cell tumors, was the most upregulated gene in malignant SO samples over benign (Log2FC = 2.1; padj&amp;lt;0.05). Conclusions: In contrast to cancer arising from the thyroid gland, characterized by BRAFV600E as the most common mutation, malignant SO belongs to RAS-like tumors. The downregulation of tumor suppressors and upregulation of DMRT1 might be implicated in the malignant transformation of SO. Citation Format: Shilpa Thakur, Darryl Nousome, Kshama Aswath, Stephanie Cardenas, Sonam Kumari, Ruth Adewale, Maria Merino, Esra Dikoglu, Padmasree Veeraraghavan, Sriram Gubbi, Joanna Klubo-Gwiezdzinska. Genomic and transcriptomic characterization of benign and malignant struma ovarii [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 769.

Prognostic value of systemic inflammatory response markers in cervical cancer

We investigated the association between preoperative ratios of inflammatory markers and the prognosis in patients with invasive cervical cancer (CC). In this single-centre study, we retrospectively enrolled 163 CC patients who underwent radical hysterectomy between February 2008 and October 2018. Among the evaluated ratios, a high neutrophil-to-lymphocyte ratio (N/L) was significantly associated with deep stromal invasion and tumour size larger than 2 cm, whereas a high M/L was significantly related to advanced-stage CC (IB3–IIIC2), lymphatic metastasis (total) and pelvic lymph node metastasis (p= .002, p= .046 and p= .046, respectively). The neutrophil count plus monocyte-to-lymphocyte ratio (NM/L) and platelet-to-lymphocyte ratio (P/L) were significantly higher in patients with deep stromal invasion, advanced stage and tumour size larger than 2 cm (p=.01, p=.044 and p=.007; p=.004, p=.005 and p=.003, respectively). In the multivariate analysis, high NM/L (>168) was associated with a statistically significant hazard ratio of 3.04 (95% CI: (1.38–6.72); p=.006) for recurrence and 9.05 (95% CI: (2.10–38.99); p=.003) for death. Both stage and NM/L are independent prognostic factors that are significantly associated with recurrence and overall survival in CC. Impact Statement What is already known on this subject? Previous studies suggested that there is a relationship between inflammation and the formation, development and progression of cancer. However, the relationship between cervical cancer (CC) and inflammatory blood parameters is incompletely understood. What do the results of this study add? This study investigated the relationship between systemic blood inflammatory ratios and clinicopathological patient characteristics and disease outcomes in CC. What are the implications of these findings for clinical practice and/or further research? According to this study, systemic blood inflammatory ratios may help predict the prognosis and survival of patients with CC.

Retrospective analysis of risk factors for bone metastasis in newly diagnosed prostate cancer patients.

The aim of the study was to analyze the clinical data of newly diagnosed prostate cancer (PCa) patients with bone metastasis and to explore the relevant risk factors. The clinical data of 251 patients with PCa, who were initially diagnosed in our hospital from February 2015 to October 2021, were retrospectively analyzed. According to the whole-body bone scan results, patients were divided into the bone metastasis group (n = 66) and the non-bone metastasis group (n = 185). The patient's age, total prostate-specific antigen (TPSA), free PSA (fPSA), prostate volume, alkaline phosphatase (ALP), Gleason score, erythrocyte sedimentation rate (ESR), and pelvic lymph node metastasis were collected. Univariate correlation and multivariate regression analyses, together with receiver operating characteristic curve, were used to analyze PCa bone metastasis-related factors. The incidence of bone metastasis in newly diagnosed PCa was about 26.29% (66/251). Among them, the incidence of pelvic metastasis was the highest, at 78.78% (52/251), and multiple bone metastases were significantly higher than single bone metastasis (80.31% vs. 19.69%). Univariate correlation analysis indicated that age, Gleason score, ESR, TPSA, ALP, fPSA/PSA, capsular infiltration, and pelvic lymph node metastasis (p < 0.05) were highly correlated with PCa bone metastasis. Multivariate Logistic regression analysis showed that TPSA (95% CI: 0.977-1.284, p = 0.007), ALP (95% CI: 1.008-1.080, p = 0.016), Gleasons core (95% CI: 2.110-82.349, p = 0.006), ESR (95% CI: 1.062-1.104, p = 0.003), and pelvic lymph node metastasis (95% CI: 1.537--33.239, p = 0.012) were independent risk factors for bone metastasis of PCa. The cut-off values for TPSA, ALP, Gleason score, and ESR were 33.78 ng/ml, 73.65 U/L, 7.5, and 23.5 mm/h, respectively. Additionally, the respective sensitivities for TPSA, ALP, Gleason score, and ESR were 81.8%, 75.8%, 68.2% and 77.3%, and the respective specificities was 90.3%, 98.9%, 98.4%, and 74.6%. TPSA, ALP, Gleason score, ESR and pelvic lymph node metastasis are independent risk factors for bone metastasis of PCa.