Lower-Limb Lymphedema after Sentinel Lymph Node Biopsy in Cervical Cancer Patients

Use of clinical variables for preoperative prediction of lymph node metastasis in endometrial cancer

OBJECTIVE

Endometrial cancer is the most common gynaecological cancer, and most patients are identified during early disease stages. Noninvasive evaluation of lymph node metastasis likely will improve the quality of clinical treatment, for example, by omitting unnecessary lymphadenectomy.

METHODS

The study population comprised 611 patients with endometrial cancer who underwent lymphadenectomy at four types of institutions, comprising seven hospitals in total. We systematically assessed the association of 18 preoperative clinical variables with postoperative lymph node metastasis. We then constructed statistical models for preoperative lymph node metastasis prediction and assessed their performance with a previously proposed system, in which the score was determined by counting the number of high-risk variables among the four predefined ones.

RESULTS

Of the preoperative 18 variables evaluated, 10 were significantly associated with postoperative lymph node metastasis. A logistic regression model achieved an area under the curve of 0.85 in predicting lymph node metastasis; this value is significantly higher than that from the previous system (area under the curve, 0.74). When we set the false-negative rate to ~1%, the new predictive model increased the rate of true negatives to 21%, compared with 6.8% from the previous one. We also provide a spreadsheet-based tool for further evaluation of its ability to predict lymph node metastasis in endometrial cancer.

CONCLUSIONS

Our new lymph node metastasis prediction method, which was based solely on preoperative clinical variables, performed significantly better than the previous method. Although additional evaluation is necessary for its clinical use, our noninvasive system may help improve the clinical treatment of endometrial cancer, complementing minimally invasive sentinel lymph node biopsy.

Preventing lower limb lymphedema after pelvic lymphadenectomy with progressive resistance exercise training: A randomized controlled trial

Objective

This study aimed to assess the efficacy of a self-designed progressive resistance exercise training program for preventing the development of lower limb lymphedema.

Methods

An open-label randomized controlled trial was conducted in patients who underwent radical surgery for cervical cancer treatment in our department between October 7, 2019, and October 7, 2021. The participants were randomly assigned to one of three groups: progressive resistance exercise training, graduated compression stocking, and control group.

Results

A total of 267 patients were enrolled (89 in each group). The incidence of lower limb lymphedema was 9.0% (n = 8) in the progressive resistance exercise training group, 28.1% (n = 25) in the graduated compression stocking group, and 42.7% (n = 38) in the control group. Over the 2-year follow-up period, the risk of lower limb lymphedema was significantly lower in the progressive resistance exercise training group than in the control group, with a hazard ratio (HR) (95% confidence interval [CI]) of 0.156 (0.073-0.335). The study was underpowered to demonstrate a statistically significant reduction in risk in the graduated compression stocking group, with an HR (95% CI) of 0.624 (0.376-1.033).

Conclusions

Progressive resistance exercise training is an effective strategy for preventing lower limb lymphedema after pelvic lymphadenectomy for cervical cancer. It imposes no additional economic burden and can be performed conveniently without the need for dedicated exercise facilities. This makes it particularly accessible to patients in developing countries, allowing them to exercise at their convenience.

Trial registration

ChiCTR1800014905.

Nano-tracers for sentinel lymph node detection: current trends in technique and application

Sentinel lymph node (SLN) detection and biopsy is a critical staging component for several cancers. Apart from established methods using dyes or radiolabeled colloids, newer techniques are emerging, like near-infrared fluorescent compounds, targeted molecular radiopharmaceuticals and magnetic nano-tracers. In the overview section of this review, we categorize SLN detection tracers based on their principle of use. We discuss the merits of existing tracers and provide a glimpse of in-development formulations. A subsequent clinical section explores the expanded role of SLN detection in management of various cancers, citing current medical guidelines and the leading conclusions of long-term clinical trials. The concluding section tries to provide a perspective of promising developments and the work required to bring them to clinical fruition.

Prophylactic complex physiotherapy in gynecologic cancer survivors: patient-reported outcomes based on a lymphedema questionnaire

OBJECTIVE

Lower extremity lymphedema secondary to cancer treatment impacts quality of life for gynecological cancer survivors. Complex decongestive physiotherapy is applied when lymphedema is diagnosed, but prophylactic physiotherapy is not yet a standard of care. The aim of this study is to evaluate prophylactic complex physiotherapy in patients with gynecological cancer and its effects on patient-reported symptoms based on the Gynecologic Cancer Lymphedema Questionnaire.

METHODS

The data of patients diagnosed with gynecological cancers who underwent lymphadenectomy from July 2021 to June 2022 was evaluated. All patients were referred to the physiotherapy unit before adjuvant treatment. Patients who accepted prophylactic physiotherapy were informed and massage and exercise training were implemented, whereas patients who declined were solely informed. Bilateral lower extremity circumferences were measured at 1, 3, 6, and 12 months at the levels of 10 cm, 30 cm, and 50 cm above the heels. A translated form of the Gynecologic Cancer Lymphedema Questionnaire was administered to all patients at the last visit.

RESULTS

A total of 100 patients were included in the study. Patients were diagnosed with endometrial (50%), ovarian (32%), cervical (16%), and vulvar (2%) cancer. Overall, 70% underwent systematic pelvic±para-aortic lymphadenectomy whereas sentinel lymph node mapping was performed in 30%. Lymphedema was seen in 5% (n=3) of the prophylactic physiotherapy positive group and in 60% (n=24) of the physiotherapy negative group. The median score was 3 (range 1-5) in the physiotherapy positive group and 16 (range 9-20) in the physiotherapy negative group. In patients diagnosed with lymphedema in the physiotherapy negative group, systematic lymphadenectomy was performed in 91.7% (n=22) and a higher number of lymph nodes was extracted (median 45.5; p=0.002).

CONCLUSION

Prophylactic complex physiotherapy is associated with lower rates of lymphedema and better patient-reported symptom scores according to the Gynecologic Cancer Lymphedema Questionnaire.

Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer

PURPOSE

To develop machine learning models to predict para-aortic lymph node (PALN) involvement in patients with locally advanced cervical cancer (LACC) before chemoradiotherapy (CRT) using 18F-FDG PET/CT and MRI radiomics combined with clinical parameters.

METHODS

We retrospectively collected 178 patients (60% for training and 40% for testing) in 2 centers and 61 patients corresponding to 2 further external testing cohorts with LACC between 2010 to 2022 and who had undergone pretreatment analog or digital 18F-FDG PET/CT, pelvic MRI and surgical PALN staging. Only primary tumor volumes were delineated. Radiomics features were extracted using the Radiomics toolbox®. The ComBat harmonization method was applied to reduce the batch effect between centers. Different prediction models were trained using a neural network approach with either clinical, radiomics or combined models. They were then evaluated on the testing and external validation sets and compared.

RESULTS

In the training set (n = 102), the clinical model achieved a good prediction of the risk of PALN involvement with a C-statistic of 0.80 (95% CI 0.71, 0.87). However, it performed in the testing (n = 76) and external testing sets (n = 30 and n = 31) with C-statistics of only 0.57 to 0.67 (95% CI 0.36, 0.83). The ComBat-radiomic (GLDZM_HISDE_PET_FBN64 and Shape_maxDiameter2D3_PET_FBW0.25) and ComBat-combined (FIGO 2018 and same radiomics features) models achieved very high predictive ability in the training set and both models kept the same performance in the testing sets, with C-statistics from 0.88 to 0.96 (95% CI 0.76, 1.00) and 0.85 to 0.92 (95% CI 0.75, 0.99), respectively.

CONCLUSIONS

Radiomic features extracted from pre-CRT analog and digital 18F-FDG PET/CT outperform clinical parameters in the decision to perform a para-aortic node staging or an extended field irradiation to PALN. Prospective validation of our models should now be carried out.

A federated approach to identify women with early-stage cervical cancer at low risk of lymph node metastases

OBJECTIVE

Lymph node metastases (pN+) in presumed early-stage cervical cancer negatively impact prognosis. Using federated learning, we aimed to develop a tool to identify a group of women at low risk of pN+, to guide the shared decision-making process concerning the extent of lymph node dissection.

METHODS

Women with cervical cancer between 2005 and 2020 were identified retrospectively from population-based registries: the Danish Gynaecological Cancer Database, Swedish Quality Registry for Gynaecologic Cancer and Netherlands Cancer Registry. Inclusion criteria were: squamous cell carcinoma, adenocarcinoma or adenosquamous carcinoma; The International Federation of Gynecology and Obstetrics 2009 IA2, IB1 and IIA1; treatment with radical hysterectomy and pelvic lymph node assessment. We applied privacy-preserving federated logistic regression to identify risk factors of pN+. Significant factors were used to stratify the risk of pN+.

RESULTS

We included 3606 women (pN+ 11%). The most important risk factors of pN+ were lymphovascular space invasion (LVSI) (odds ratio [OR] 5.16, 95% confidence interval [CI], 4.59-5.79), tumour size 21-40 mm (OR 2.14, 95% CI, 1.89-2.43) and depth of invasion>10 mm (OR 1.81, 95% CI, 1.59-2.08). A group of 1469 women (41%)-with tumours without LVSI, tumour size ≤20 mm, and depth of invasion ≤10 mm-had a very low risk of pN+ (2.4%, 95% CI, 1.7-3.3%).

CONCLUSION

Early-stage cervical cancer without LVSI, a tumour size ≤20 mm and depth of invasion ≤10 mm, confers a low risk of pN+. Based on an international privacy-preserving analysis, we developed a useful tool to guide the shared decision-making process regarding lymph node dissection.

Health-related quality of life with pembrolizumab or placebo plus chemotherapy with or without bevacizumab for persistent, recurrent, or metastatic cervical cancer (KEYNOTE-826): a randomised, double-blind, placebo-controlled, phase 3 trial

BACKGROUND

In the KEYNOTE-826 study, the addition of the anti-PD-1 monoclonal antibody pembrolizumab to chemotherapy with or without bevacizumab improved overall survival and progression-free survival (primary endpoints) versus placebo plus chemotherapy with or without bevacizumab, with manageable toxicity, in patients with persistent, recurrent, or metastatic cervical cancer. In this Article, we report patient-reported outcomes (PROs) from KEYNOTE-826.

METHODS

KEYNOTE-826 is a multicentre, randomised, phase 3 trial in 151 cancer treatment centres in 19 countries. Eligible patients were aged 18 years or older with persistent, recurrent, or metastatic cervical cancer not previously treated with systemic chemotherapy (previous radiosensitising chemotherapy was allowed) and not amenable to curative treatment and had an Eastern Cooperative Oncology Group performance status of 0 or 1. Patients were randomly assigned (1:1) centrally by means of an interactive voice response system in a double-blind manner to receive either pembrolizumab 200 mg or placebo every 3 weeks intravenously for up to 35 cycles plus chemotherapy (paclitaxel 175 mg/m² plus cisplatin 50 mg/m² or carboplatin area under the curve 5 mg/mL per min, intravenously) with or without bevacizumab 15 mg/kg every 3 weeks intravenously. Randomisation (block size of 4) was stratified by metastatic disease at diagnosis, planned bevacizumab use, and PD-L1 combined positive score. Patients, investigators, and other study personnel involved in study treatment administration or clinical evaluation of patients were unaware of treatment group assignments. PRO instruments were the EORTC Quality-of-Life-Core 30 (QLQ-C30), the EORTC cervical cancer module (QLQ-CX24), and the EuroQol-5 dimension-5 level (EQ-5D-5L) visual analogue scale, each collected before treatment at cycles 1-14 and every other cycle thereafter. Primary endpoints were overall survival and progression-free survival per RECIST version 1.1 by investigator review. Change from baseline in QLQ-C30 global health status (GHS)-quality of life (QoL) was a prespecified secondary endpoint and was assessed in the PRO full analysis population (all patients who received at least one dose of study treatment and completed at least one post-baseline PRO assessment). Other PRO analyses were protocol-specified exploratory endpoints. The study is registered with ClinicalTrials.gov, NCT03635567, and is ongoing.

FINDINGS

Between Nov 20, 2018, and Jan 31, 2020, of 883 patients screened, 617 were randomly assigned (pembrolizumab group, n=308; placebo group, n=309). 587 (95%) of 617 patients received at least one dose of study treatment and completed at least one post-baseline PRO assessment and were therefore included in the PRO analyses (pembrolizumab group, n=290; placebo group, n=297). Median follow-up was 22·0 months (IQR 19·1-24·4). At week 30, QLQ-C30 completion was 199 (69%) of 290 patients in the pembrolizumab group and 168 (57%) of 297 patients in the placebo group; compliance was 199 (94%) of 211 and 168 (90%) of 186, respectively. The least squares mean change in QLQ-C30 GHS-QoL score from baseline to week 30 was -0·3 points (95% CI -3·1 to 2·6) in the pembrolizumab group and -1·3 points (-4·2 to 1·7) in the placebo group, with a between-group difference in least squares mean change of 1·0 point (95% CI -2·7 to 4·7). Median time to true deterioration in GHS-QoL was not reached (NR; 95% CI 13·4 months-NR) in the pembrolizumab group and 12·9 months (6·6-NR) in the placebo group (hazard ratio 0·84 [95% CI 0·65-1·09]). 122 (42%) of 290 patients in the pembrolizumab group versus 85 (29%) of 297 in the placebo group had improved GHS-QoL at any time during the study (p=0·0003).

INTERPRETATION

Addition of pembrolizumab to chemotherapy with or without bevacizumab did not negatively affect health-related quality of life. Along with the efficacy and safety results already reported from KEYNOTE-826, these data support the benefit of pembrolizumab and the value of immunotherapy in patients with recurrent, persistent, or metastatic cervical cancer.

FUNDING

Merck Sharp & Dohme.

Sentinel lymphatic mapping for gynecologic malignancies

PURPOSE OF REVIEW

To summarize the latest data in Gynecologic Oncology for the use of sentinel lymphatic mapping in vulvar, uterine, and cervical cancers.

RECENT FINDINGS

To decrease morbidity and improve detection of lymphatic metastasis, lymphatic mapping with sentinel lymph node biopsy is emerging as standard of care over conventional systemic lymphadenectomy in the surgical management of gynecologic malignancies.

SUMMARY

Sentinel lymph node mapping with biopsy is one of the most significant advances in cancer surgery. The presence of nodal metastasis is not only a prognostic factor for recurrence and survival in patients with gynecologic malignancies, but also guides assessment for adjuvant treatment. This review article discusses the most recent clinical updates in sentinel lymph node mapping, dissection, and management in vulvar cancer, endometrial cancer, and cervical cancer.

Biomarkers Associated with Lymph Nodal Metastasis in Endometrioid Endometrial Carcinoma

Simple Summary

In endometrial cancer, lymph node invasion assessed through surgical lymphadenectomy or sentinel lymph node biopsy is a determinant factor for the prognosis and planification of adjuvant treatment. Those surgical procedures are associated with short- and long-term complications. Recent advances in molecular characterization of endometrial cancer have provided important insights into the biological nature of tumors but have not improved the pre-operative prediction of LND. This study is a description of the transcriptomic landscape associated with lymph node metastases in endometroid endometrial carcinomas. A 54-genes expression signature was generated at analysis of the primary tumor. Differential gene expression was found between patients with and without lymph node metastasis, with an 87% accuracy. Our findings provide a basis for the development of a gene expression-based signature that can be used to pre-operatively select patients for whom surgical assessment of lymph node status is of little value, and, consequently, an unfavorable risk–benefit balance.

Abstract

Introduction. Lymph node metastasis is determinant in the prognosis and treatment of endometrioid endometrial cancer (EEC) but the risk–benefit balance of surgical lymph node staging remains controversial. Objective. Describe the pathways associated with lymph node metastases in EEC detected by whole RNA sequencing. Methods. RNA-sequencing was performed on a retrospective series of 30 non-metastatic EEC. N+ and N− patients were matched for tumoral size, tumoral grade and myometrial invasion. Results. Twenty-eight EECs were analyzable (16 N+ and 12 N−). Bioinformatics Unsupervised analysis revealed three patterns of expression, enriched in N+, mix of N+/N− and enriched in N−, respectively. The cluster with only N+ patient overexpressed extra cellular matrix, epithelial to mesenchymal and smooth muscle contraction pathways with respect to the N− profile. Differential expression analysis between N+ and N− was used to generate a 54-genes signature with an 87% accuracy. Conclusion. RNA-expression analysis provides a basis to develop a gene expression-based signature that could pre-operatively predict lymph node invasion.

Quality of Life Predictors in Patients With Melanoma: A Machine Learning Approach

Health related quality of life (HRQoL) is an important recognized health outcome for cancer treatments, but also disease course with slower recovery and increased morbidity. These issues are of implication in melanoma, which maintains a risk of disease progression for many years after diagnosis. This study aimed to explore and weigh factors in the perception of the quality of life and possible relationships with demographic–clinical characteristics in people with melanoma via a machine learning approach. In this observational study, patients with melanoma, without metastatic disease, were recruited from January 2020 to December 2021 with a follow-up of at least one year. Demographic variables and clinics were collected, and the 12-Item Short-Form Health Survey (SF-12) was adopted as the physical and mental aspects of the Health-Related Quality of Life (HRQoL) measure. All the variables were processed in a random forest model to weigh at each node of each tree of this machine learning regression model, their actual weight in SF-12 score. We included 203 melanoma patients, mean aged 59.25 ± 15.1 years: 56 (27%) affecting the upper limbs and 147 (73%) affecting the trunk. The model of 142 patients with no missing value, generating 92 trees (MSE = 0.45, R2 of 0.78), reported that the lesion site was the most influencing variable on HRQoL based on the decrease in Gini impurity in variable weighing at each node intersection in forest generation. In this scenario, we built two distinct models for lesion sites and demonstrated that the variable that most influenced the quality of life in upper limb melanoma was lymphedema, while BMI was in the trunk. Given these results, random forest regressions could play a crucial role in the clinical and rehabilitation approach. The machine-learning model for detecting the HRQoL predictor in melanoma patients indicates that the experienced lymphedema and BMI may influence the HRQoL perception. This study suggests that the prevention and treatment of lymphedema and bodyweight reduction might improve the quality of life in melanoma.

Long-Term Outcomes of Lymph Node Transfer in Secondary Lymphedema and Its Correlation with Flap Characteristics

BACKGROUND

This retrospective study aimed to assess the impact of certain flap characteristics on long-term outcomes following microsurgical treatment in Breast Cancer-Related Lymphedema (BCRL) patients.

METHODS

Sixty-four out of 65 BCRL patients, guided by the "Selected Lymph Node" ("SeLyN") technique, underwent Vascularized Lymph Node Transfer (VLNT) between 2012 and 2018. According to their surface size, flaps were divided into small (<25 cm², n = 32) and large (>25 cm², n = 32). Twelve large and six small flaps were combined with free abdominally based breast reconstruction procedures. Lymphedema stage, flap size, vascular pedicle and number of lymph nodes (LNs) were analyzed in correlation with long-term Volume Differential Reduction (VDR).

RESULTS

At 36-month follow-up, no major complication was recorded in 64 cases; one flap failure was excluded from the study. Mean flap size was 27.4 cm², mean LNs/flap 3.3 and mean VDR 55.7%. Small and large flaps had 2.8 vs. 3.8 LNs/flap (p = 0.001), resulting in 49.6% vs. 61.8% VDR (p = 0.032), respectively. Lymphedema stage and vascular pedicle (SIEA or SCIA/SCIP) had no significant impact on VDR.

CONCLUSION

In our series, larger flaps included a higher number of functional LNs, directly associated with better outcomes as quantified by improved VDR.

Progressive resistance exercise training to prevent lower-limb Lymphedema after Cervical Cancer Surgery: A Feasibility study

Objective

Radical hysterectomy with pelvic lymphadenectomy is the standard surgical treatment for early stage cervical cancer. One of the most common complications after this surgery is lower extremity lymphedema (LLL). Program of progressive resistance exercise training (PRET) is a possible way to prevent LLL for cervical cancer patients postoperatively. Before we start a randomized controlled trial to evaluate the preventive effect of PRET, we conducted this pilot study to assess the feasibility of PRET after cervical cancer surgery.

Methods

The primary purpose of the pilot study was the feasibility of PRET, as well as the satisfaction and adherence to the PRET assessed by a questionnaire. We conducted a single-arm prospective study involving cervical cancer patients who underwent radical hysterectomy with pelvic lymphadenectomy. Participants exercised twice a day for 24 weeks (two weeks of supervised in hospital and then 22 weeks of home-based training) after surgical treatment. All patients were followed up for 12 months. Information that included the limb volume, BMI, perceived difficulty level and adherence rate was collected.

Results

From February to April 2019, a total of 24 patients participated in the study. None of them dropped out. The adherence rate was more than 75% in majority of the patients, the perceived difficulty level of the PRET was high (for the first phase, the fourth phase and the fifth phase, more than half of the participants felt the intensity of the exercise appropriate), and no serious adverse events in the study were observed.

Conclusions

Exercise training was safe and feasible. The preliminary results offered us the possibility to further test the preventive effect of PRET in a full-scale randomized controlled trial.

Challenges in lower limb lymphoedema assessment based on limb volume change: Lessons learnt from the SENTIX prospective multicentre study

BACKGROUND

Lower limb lymphoedema (LLL) is the most disabling adverse effect of surgical staging of pelvic lymph nodes. However, the lack of standardisation of volumetric LLL assessment hinders direct comparison between the studies and makes LLL reporting unreliable. The aim of our study is to report outcomes from a prospective trial that have implications for LLL assessment standardisation.

METHODS

In the prospective international multicentre trial SENTIX, a group of 150 patients with stage IA1-IB2 cervical cancer treated by uterine surgery with bilateral sentinel lymph node biopsy was prospectively evaluated by objective LLL assessment, based on limb volume change (LVC) using circumferrential limb measurements and subjective patient-reported swelling. The assessments were conducted in six-month periods over 24 months post-surgery.

RESULTS

Patient LVC substantially fluctuated in both positive and negative directions, which were comparable in frequency up to ±14% change. Thirty-eight patients experienced persistent LVC increase >10% classified as LLL, with nine months median time to onset. Some 34.2% of cases experienced onset later than one year after the surgery. Thirty-three patients (22%) experienced transient oedema characterised as LVC >10%, which resolved without intervention between two consequent follow-up visits. No significant correlation between LVC >10% and a patient-reported swelling was observed.

CONCLUSIONS

Given that we observed comparable fluctuations of the the lower-limb volumes after surgical treatment of cervical cancer in both positive and negative direction up to ±14%, the diagnostic threshold for LLL diagnosis based on LVC should be increased to >15% LVC. The distinction of transient oedema from persistent LLL requires repeated measurements. Also, as one-third of LLL cases are diagnosed >1-year post-surgery, a sufficient follow-up duration needs to be ensured. Patient-reported swelling correlated poorly with LVC and should only be used as an adjunct to objective LLL assessment.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02494063.

Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?

Liu and colleagues performed a retrospective study to validate a computed tomography (CT) scan-based radiomic model to detect lymph node metastasis in cervical cancer. The proposed model incorporating the arterial and venous phase CT-scan features represented a non-invasive method exhibiting high sensitivity in the prediction of lymph node metastasis. It is well established that lymph node metastasis is one of the most significant prognostic factors in cervical cancer. For this reason, management of cervical cancer is strictly related to lymph node status, with international guidelines recommending definitive chemo-radiation in case of metastatic lymph node. More and more evidence supports the use of sentinel lymph node in early-stage cervical cancer but its frozen section analysis may result in false negative results; in locally-advanced stages staging para-aortic lymphadenectomy is proposed by many Authors to tailor chemoradiotherapy treatment, with potential intra-and post-operative related complications. The use of a validated radiomic model able to predict lymph node metastases in radiologically normal lymph nodes may represent an essential tool to possibly spare lympadenectomy related morbidity.