Sentinel Lymph Node Metastasis Research Articles

Abstract PS03-06: Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: saving costs and time (the CONFIDENT-B trial)

Abstract Background Metastases in sentinel lymph nodes (SN) of breast cancer (BC) patients are strongly associated with a worse survival and consequently guide treatment. If metastases are absent upon pathologist’ assessment of the regular hematoxylin and eosin (HE)-slide, additional immunohistochemistry (IHC)-stains are performed to ensure that no metastases are missed. However, these stains come at high additional costs, which may exceed specimen reimbursement. Fortunately, digital pathology is becoming more common, thereby creating an avenue of opportunities for artificial intelligence (AI) assistance. Although the number of studies on (promising) AI-algorithms increases exponentially, studies on actual clinical implementation are lacking. In this single-center prospective trial, we investigated to which extent an artificial intelligence (AI)-assisted clinical workflow for the detection of SN-metastases reduces IHC-use, while maintaining current diagnostic safety standards. Methods We enrolled 190 SN-specimens of 182 patients with invasive or in situ BC from September 2022 to May 2023. SN-specimens were allocated bi-weekly to either the control-arm (n=90) or the intervention-arm (n=100). In the control-arm, SN-specimens were digitally assessed according to the current clinical workflow, while pathologists in the intervention-arm assessed the SN-specimen with the output the ‘Metastasis-Detection-App’ (Visiopharm©) available. In both groups, IHC was performed in all morphologically negative cases. Main outcome was the relative risk (RR) of IHC-use per detected case of SN-metastases. Case-mix adjustment was performed by log-binomial regression. Results Overall, 59 SN-specimens contained metastases (31.1%). AI-assistance resulted in a significantly lower risk of IHC-use per detected case of SN-metastases (adjusted RR: 0.680, 95% CI: 0.347-0.878). Besides preventing IHC-use, thereby reducing costs, AI-assisted pathologists also spent significantly less time on their assessment of the SN-specimen (3m:41s vs. 6m:04s, p = 0.028). Furthermore, the sensitivity of AI-assisted pathologists was up to 30% higher. The AI-assisted pathologists missed two cases of micro-metastases in the intervention arm, one of which was in retrospect highlighted by the algorithm, while in the other case the tumor cells were located in a heavily cauterized area of the HE-slide and therefore only visible on the (serial) IHC-slides. In the control arm, the algorithm in retrospect picked up all micro- and macro-metastases and nearly half of the isolated tumor cells (ITC). In addition, all participating pathologists stated that AI was easy to use, that they felt confident using AI, and that besides saving them time, AI made their work more enjoyable. Cost reductions on IHC by AI-assistance depend on laboratory policy (i.e. when and on how many levels IHC is performed), but, at a cost of €25,- per IHC-stain, range from €1.500 to €3.500 per 100 SN’s in a scenario where IHC is performed in all morphologically negative cases. In a scenario where IHC is only performed in patients in whom finding ITC has clinical consequences (i.e. patients who received neoadjuvant treatment), cost savings on IHC range from €7.500-€12.500 per 100 SNs, depending on laboratory policy. Conclusion AI-implementation for the detection of SN-metastases in BC-patients leads to a significant reduction of IHC-use and subsequent costs, while saving pathologists time and making their work more enjoyable. Importantly, AI-implementation during this trial was safe and patients were not at risk of an inferior diagnosis. By doing this trial alone, an estimated €3,000 on IHC-use was saved. Such tangible cost savings are crucial to build a viable business case for AI implementation in diagnostic pathology. Citation Format: Carmen van Dooijeweert, Rachel Flach, Natalie ter Hoeve, Celien Vreuls, Roel Goldschmeding, Jan-Erik Freund, Paul Pham, Tri Nguyen, Elsken Van der Wall, Geert Frederix, Nikolas Stathonikos, Paul Van Diest. Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: saving costs and time (the CONFIDENT-B trial) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS03-06.

Abstract PO4-07-07: The construction and clinical research value of the prediction model of sentinel lymph node metastasis based on indocyanine green fluorescence quantification in breast cancer

Abstract Objective: To establish a prediction model of sentinel lymph node metastasis by quantitative indocyanine green fluorescence analysis in breast cancer. Methods: From May 2023 to June 2023, 20 patients with breast cancer underwent modified radical mastectomy in the General Surgery Department of Jiangsu Provincial People's Hospital were chosen for research and analysis. Sentinel lymph node were taken from all the patients. The sentinel lymph nodes were located by using the double staining method of subcutaneous injection of Methylene blue and intravenous injection of indocyanine green. The postoperative pathology is used as the standard for evaluating the presence or absence of metastatic cancer in lymph nodes. At the same time, the transcutaneous fluorescence of sentinel lymph node was recorded and the peak time of fluorescence intensity curve was plotted. To establish a logistic diagnostic prediction model and fluorescence threshold, the sentinel lymph node was incised during operation and the fluorescence of sentinel lymph node was recorded again. The criteria for ICG positive determination are determined by the Youden index, which was used to judge the lymph nodes above the threshold in the Logistic diagnostic prediction model. Lymph nodes below the threshold determined in the Logistic diagnostic prediction model are the criteria for ICG negative determination. Cases with less than 3 sentinel lymph node were excluded. Results: 19 cases were ultimately selected. Methylene blue staining data was taking as the judgment standard of sentinel lymph node. Fluorescence imaging was 100% in 14 patients, 66.7% (2/3) in 1 patient, and 125%-150% (5/4-6/4) in 4 patients. Fluorescence quantification values below 2.91 are negative lymph nodes, and values above 4.69 are positive lymph nodes. Moreover, caution is required between 2.91 and 4.69. Combining with the fluorescence dynamic attenuation curve, the positive group has a plateau curve, while the negative group mostly has a decline curve. Combining fluorescence quantification with fluorescence dynamic attenuation curve, the diagnostic rate of positive lymph nodes has a lower false negative rate compared to simple fluorescence quantification and fluorescence dynamic attenuation curve. Conclusion: The quantitative difference value of indocyanine green fluorescence angiography can be used to predict the positive metastasis of sentinel lymph node in breast cancer, making it an attempt to exempt sentinel lymph node biopsy. Citation Format: Yang Wu, Wei Zhang, Jinhai Tang. The construction and clinical research value of the prediction model of sentinel lymph node metastasis based on indocyanine green fluorescence quantification in breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-07-07.

Abstract PO3-17-09: Outcome after the introduction of personalized treatment for axilla in patients with clinically node-negative early breast cancer

Abstract Background : After the results of ACOSOG Z0011 and AMAROS trials were reported, axillary treatment has been promoted to de-escalation. For clinically negative cases of axillary lymph node metastasis (cN0), axillary dissection (Ax) has been the standard treatment when sentinel lymph node (SN) metastasis is positive. In our hospital, for patients with cN0, if SN macro metastasis is positive, Ax or irradiation (RT) is selected after sufficient explanation to the patients. Five years have passed since the introduction of treatment selection for the axilla, we examined treatment outcomes retrospectively. Methods : The subjects were 1376 patients who underwent SN biopsy for primary breast cancer with cN0 at our hospital from October 2004 to December 2018 (median observation period 79 months). Cases who underwent preoperative chemotherapy were excluded. We have introduced the treatment choice system since December 2015, and compared prognosis (local recurrence, distant recurrence and breast cancer specific death) before and after introduction using the log-rank test. Results : There were 947 cases before introduction of treatment choice system (pre group) and 429 cases after introduction (post group). The median observation period for each group was 91 months and 41 months. The maximum observation period post group was 67 months, then we compared the number of events in patients with observation period less than 67 months in pre group. There was no significant difference between two groups (Pre/Post) in terms of age (p=0.52), menopausal status (p=0.90), invasion of primary lesion (p=0.19), biology and SN metastasis status (p=0.41). There were 54 patients (12.6%) in pre group and 135 (14.3%) patients in post group had positive sentinel lymph nodes. In post group, 33 patient (61.1%) were macrometastasis of SN, 28 of whom underwent Ax and 5 underwent RT. Local recurrence was 4 cases (1.7%) in pre group, 9 cases (2.1%) in post group (p=0.84), distant recurrence was 13 cases (5.6%) and 5 cases (1.2%) (p=0.0002), and breast cancer specific death was 8 cases (0.8%) and 1 case (0.2%) (p=0.0003), respectively. Discussion : There was no significant difference in local recurrence rate within 67 months, but were poor prognosis in pre introduction group for distant metastasis and breast cancer specific survival. In the results of this study, there was no significant difference in local recurrence, but the prognosis for distant recurrence and breast cancer-specific death was poor in the before introduction group. The median observation period in the post introduction group was 47 months, and late recurrence of ER-positive breast cancer occurs later. It is necessary to continue the study by extending period and accumulation cases. Conclusion : For cN0 cases, if the case is suitable, we introduced the treatment choice system that allows omitting Ax by performing radiotherapy in SN macrometastasis positive patients. After introduction, there was no increase in the relapse rate after introduction in the short term. Appropriate case selection allowed the safety introduction of individualizes treatment for axilla. Citation Format: Mai Tomiguchi, Kaori Hidaka, Lisa Goto-Yamaguchi, Ayako Kajiwara, Kanako Nishikido, Toko Inao, Yutaka Yamamoto. Outcome after the introduction of personalized treatment for axilla in patients with clinically node-negative early breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-17-09.

Abstract PO1-19-03: The T-REX trial: a randomized international non-inferiority trial on Tailored Regional EXternal beam radiotherapy in clinically node-negative breast cancer patients with 1-2 sentinel node macrometastases

Abstract Background: Modern systemic treatment has reduced the incidence of regional recurrences and improved survival in breast cancer (BC). It is thus questionable whether regional radiotherapy (RT) is still indicated in patients with sentinel lymph node (SLN) macrometastases. Postoperative regional RT is associated with an increased risk of arm morbidity, pneumonitis, cardiac disease, and secondary cancer. Therefore, there is a need to individualize the indication for regional RT in relation to risk of recurrence. Trial design: In this multicenter, prospective randomized phase 3 trial, eligible patients have a clinically node-negative, estrogen receptor-positive, HER2-negative BC with 1-2 SLN macrometastases, and have not undergone completion axillary lymph node dissection. Participants are randomly assigned to receive regional RT (standard arm) or not (intervention arm). Regional RT includes the axillary levels I-III and the supraclavicular fossa. Internal mammary nodes are targeted in selected patients. After breast-conserving surgery (BCS), RT to the remaining breast is given in both groups while after mastectomy, chest-wall RT is only given in the standard arm. In the intervention arm, chest wall RT may be indicated in selected cases with extensive multifocality, according to national guidelines. RT quality assurance is an integral part of the trial. In addition, material from the primary tumor, SLN metastases and any recurrences is subjected to gene expression analysis to identify both prognostic markers for locoregional recurrence and predictive markers for the benefit of regional RT. After confirmation of eligibility and written informed consent, patients are randomized 1:1 between the treatment arms. Allocation is stratified by trial site and breast surgery (BCS vs. mastectomy). Participation in T-REX should not affect decisions on systemic adjuvant treatment. Eligibility criteria: Trial inclusion and exclusion criteria are given in Table 1. Specific aims: The main aim of the trial is to investigate if the omission of regional RT is non-inferior to routine regional RT in clinically node-negative BC patients with estrogen receptor-positive, HER2-negative T1-2 tumors with 1-2 SLN macrometastases not receiving axillary lymph node dissection. Secondary aims are to investigate whether refraining from regional RT reduces arm morbidity and late RT side effects, and improves short- and long-term health-related quality of life. In addition, the use of genomic classifiers for the prognostication of locoregional recurrences and the prediction of a benefit from regional RT will be investigated. Statistical methods: Primary outcome is recurrence free survival (RFS) at five years. Non-inferiority will be declared if the outcome in the intervention arm is not more than 4.5 percentage units below the standard arm, corresponding to a hazard ratio of 1.41 assuming 88% 5-year RFS with standard treatment. Secondary outcomes include locoregional recurrence, overall survival, patient-reported arm morbidity, and health-related quality of life. Accrual: The trial will include 1350 patients in Sweden, Norway and Finland from April 2023 to December 2028. First sites have been opened in April 2023. Contact information: Primary Investigator: Sara Alkner, Skåne University Hospital, Lund University, sara.alkner@med.lu.se. Responsible for the biobank: Per Karlsson, Sahlgrenska University Hospital, Gothenburg University, per.karlsson@oncology.gu.se. Inclusion and exclusion criteria Citation Format: Sara Alkner, Jana de Boniface, Dan Lundstedt, Ingvil Mjaaland, Lisa Rydén, Johan vikström, Pär-Ola Bendahl, Erik Holmberg, Helena Sackey, Elinore Wieslander, Per Karlsson. The T-REX trial: a randomized international non-inferiority trial on Tailored Regional EXternal beam radiotherapy in clinically node-negative breast cancer patients with 1-2 sentinel node macrometastases [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-19-03.

Abstract PO5-20-01: SENTINOT2- Use of superparamagnetic iron oxide tracer to avoid unnecessary sentinel lymph node biopsies

Abstract Background/Purpose: The use of superparamagnetic nanoparticles of iron oxide tracers (Magtrace) and electromagnetometers (SentiMag) for the detection of sentinel lymph nodes (SLN) during breast cancer surgery has been demonstrated to be noninferior to traditional radioisotope (RI) and blue dye detection, with additional safety benefits. Previous work has shown that transcutaneous detection of SLN with Magtrace/Sentimag is possible for over 30 days. Because of the safety, efficacy, and long detection window of Magtrace, we aim to investigate the use of Magtrace to prevent unnecessary SLN biopsies (SLNB) in breast cancer surgery. SLNB are commonly performed during breast conserving surgeries (BCS) or mastectomy for patients with a preoperative diagnosis of ductal carcinoma in-situ (DCIS). Because metastasis is not expected in patients diagnosed with DCIS, SLNB may be unnecessary and potentially harmful. However, in 15-25% of cases, unexpected invasive carcinoma is found during the post-surgical histopathological analysis of the resected breast tissue. For these cases, if SLNB are forgone during the initial surgery, SLNB during a second (delayed) procedure is the usual standard of care to evaluate SLN for metastasis. However, potential changes to lymphatic drainage following the initial resection may affect tracer localization to SLN. Consequently, we aim to compare SLN detection rates during delayed SLNB with Magtrace administered prior to initial BCS or mastectomy and subsequent RI tracer administered prior to delayed SLNB. Methods: SENTINOT2 is an ongoing international trial with BCM as the sole US site. For eligible patients with a preoperative diagnosis of DCIS, Magtrace will be administered prior to BCS or mastectomy. If invasive carcinoma is found from the post-surgical histopathological analysis, patients will receive delayed SLNB within 4 weeks of their initial surgery. Prior to delayed SLNB, patients will be randomized into two groups differing in the order of modality used for SLN detection (Magtrace or RI). Subjects with the following conditions will be excluded from the study: hypersensitivity to Magtrace, iron overload disease, pregnancy, and lactation. The total expected accrual for this study is 538 subjects globally and 50 subjects at BCM. Results: Currently, 19 patients have been enrolled in SENTINOT2. The subject population is 11% Asian, 26% Black/African American, and 47% Caucasian with non-Hispanic ethnicity. 5% of subjects identified as Hispanic Caucasian and 11% of subjects declined to report their race or ethnicity. 79% of patients had mastectomies, while 21% had BCS. After post-surgical histopathological analysis, 21% (4/19) patients were determined to have invasive carcinoma and received delayed SLNB. 50% (2/4) of these patients were randomized to have Magtrace as their first SLN detection modality (Mag-RI) while the other 50% (2/4) had RI as their first SLN detection modality (RI-Mag). Table 1 shows comparable SLN detection rates between Magtrace and RI for patients who received delayed SLNB. Only 1/4 patients showed SLN metastasis. For this patient, the positive SLN was successfully detected by both modalities. Conclusion: Magtrace has shown potential in delayed SLN detection and the use of Magtrace has prevented 79% (15/19) of enrolled patients from receiving unnecessary SLNB. Table 1. Number of Lymph Nodes (LN) Detected by Magtrace/Radioisotope, Biopsied and Positive for Metastasis Citation Format: Mary Bajomo, Ivan Marin, Jessica Montalvan, Margarita Riojas-Barrett, Logan Healy, Elizabeth Bonefas, Stacey Carter, Alastair Thompson. SENTINOT2- Use of superparamagnetic iron oxide tracer to avoid unnecessary sentinel lymph node biopsies [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-20-01.

Abstract PO4-07-10: Validation of An Ultrasound-Based Scoring System of Axillary Metastasis in Breast Cancer

Abstract Introduction: Ultrasound is the imaging modality of choice in the evaluation of axillary involvement in breast cancer. Our group previously created a scoring method to predict axillary lymph node metastasis (ALNM) based on ultrasound characteristics. In this study we validated the model and tested it among different Memorial Sloan Kettering Breast Cancer Sentinel Lymph Node Metastasis Nomogram1 (MSK) subgroups. Methods: The ultrasound score (table 1) was previously developed using data collected at a single institution from 2019 – 2021 by allocating points based on the regression coefficients of variables found to significantly predict ALNM. Subsequent evaluation of the discrimination of this model found it was robust to different patient demographic and tumor characteristics based on receiver operating characteristic curve analysis2. In this study, we validated the test statistics of our score at an outside institution. We also pooled patients from both institutions and evaluated the score performance in different MSK subgroups by the likelihood for sentinel node metastasis based off of clinical and pathologic data without accounting for imaging findings. Results: Between 2019-2021, 140 patients with breast cancer were analyzed for validation of the axillary ultrasound scoring system and when combined with the dataset of patients from the index institution, 358 pooled patients were stratified by predicted ALNM positivity according to MSK. In the validation cohort, the NPV for low risk (0-1) scores was 87%, while the PPV for high-risk (5+) scores was 71%. Overall in the combined cohort, 241 (67%) patients had low risk (0-1) axillary ultrasound scores and 33 (9%) had high risk (5+) scores. In this combined cohort, NPV was 84% (203/241 low-risk score patients were node negative), while PPV for high-risk scores was 85% (28/33 high risk score patients were node positive). When analyzed according to level of MSK predicted ALNM rates, for patients with < 50% predicted ALNM positivity, the NPV of low-risk scores was 87-89% and the PPV for high-risk axillary scores was 100%. For patients with >50% predicted ALNM positivity, the NPV of low-risk scores was 66% and the PPV of high-risk scores was 82%. Conclusions: A scoring system to predict ALNM among biopsy proven breast cancer patients undergoing upfront surgery was successfully developed from a multivariate model based on axillary ultrasound characteristics. This model was validated at a separate institution. The scoring system shows advantageous negative and positive predictive values for axillary node metastasis, especially among patients with < 50% predicted nodal involvement based on the MSK nomogram. This data may help foster better communication about ALNM risk between radiologists and treating clinicians to inform treatment decisions. Table. Scoring System for Likelihood of ALNM based on Ultrasound Characteristics Citation Format: Spencer Van Decar, Elizabeth Carpenter, Alexandra Adams, Jason Shore, Iulian Dragusin, Erika Davis, Craig Tork, Robert Krell, Troy Graybeal, Katherine Clifton, Arianna Buckley, Guy Clifton. Validation of An Ultrasound-Based Scoring System of Axillary Metastasis in Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-07-10.

Retrospective Evaluation of the Preoperative Features of Breast Cancer and Sentinel Lymph Node Metastasis

Retrospective Evaluation of the Preoperative Features of Breast Cancer and Sentinel Lymph Node Metastasis

Endometrial cancer with positive sentinel lymph nodes: pathologic characteristics of metastases as predictors of extent of lymphatic dissemination and prognosis.

To assess predictors of extensive lymph node dissemination and non-vaginal recurrence in patients with endometrial cancer with positive sentinel lymph nodes (SLNs). Patients with endometrial cancer who underwent primary surgery with SLN mapping and had at least one positive node between October 2013 and May 2019 were included. Positive SLNs were reviewed, and cases were classified according to the location of the metastasis (extracapsular vs intracapsular), and the size of the largest SLN metastasis (isolated tumor cells, micrometastasis, macrometastasis). Associations were assessed based on fitting logistic regression models and Cox proportional hazards models. A total of 103 patients met the inclusion criteria: including 36 (34.9%) with isolated tumor cells, 27 (26.2%) with micrometastasis, and 40 (38.8%) with macrometastasis. Notably, 71.4% of patients exhibiting extracapsular SLN metastases had multiple positive SLNs (p=0.008). Extracapsular invasion (adjusted odds ratio (aOR) 5.81, 95% CI 1.4 to 23.6) and age (aOR=1.8, 95% CI 1.1 to 3.0) emerged as independent predictors of multiple positive SLNs. Among the 38 patients who underwent a backup pelvic lymphadenectomy, 18 (47.4%) presented with positive pelvic non-SLNs, a phenomenon more prevalent in patients with macrometastasis (p=0.004).Independent predictors of non-vaginal recurrence included SLN macrometastasis (adjusted hazard ratio (aHR) 3.3, 95% CI 1.3 to 8.3), non-endometrioid histology (aHR=3.7, 95% CI 1.5 to 9.3), and cervical stromal invasion (aHR=5.5, 95% CI 2.0 to 14.9). Among the 34 patients with isolated tumor cells and endometrioid histology, 3 (9%) experienced a recurrence, all of whom had not received any adjuvant chemotherapy or external beam radiotherapy. Patients with positive SLN macrometastasis are independently associated with extensive lymphatic dissemination and distant recurrences. The risk of multiple positive SLNs increases with the extracapsular location of the SLN metastasis and with age. Independent uterine pathologic predictors of non-vaginal recurrence are non-endometrioid histology and cervical stromal invasion.

A selective anatomically based lymph node sampling can replace a side specific pelvic lymphadenectomy in endometrial cancer with failed sentinel node mapping

AimTo evaluate the locations of metastatic pelvic sentinel nodes (SLN) and the proportion of SLNs outside and within defined typical anatomical positions along the upper paracervical lymphatic pathway (UPP). Patients and methodsConsecutive women with endometrial cancer (EC) of all risk groups underwent pelvic SLN-detection using cervically injected indocyanine green (ICG). A strict anatomically based algorithm and definitions of SLNs was adhered to. The positions of ICG-defined SLNs were intraoperatively depicted on an anatomical chart. All SLNs were examined using ultrastaging and immunohistochemistry. The proximal third of the obturator fossa and the interiliac area were defined as typical positions. The parauterine lymphovascular tissue (PULT) was separately removed. The proportions of metastatic SLNs, overall and isolated, typically, and atypically positioned were analyzed per woman. ResultsA median of two (range 1–12) SLN metastases along the UPP including the PULT were found in 162 women. 41 of 162 women (25.3 %) had isolated metastases in the obturator fossa harboring 49.1 % of all SLN metastases. Three women (1,9 %) had isolated PULT metastases. SLN metastases outside typical positions were identified in 28/162 women (17.3 %); isolated metastases were seen in seven women (4.3 %), so 95.7 % of pelvic node positive women had at least one metastatic SLN located at a typical position. ConclusionA selective removal of lymph nodes at typical proximal obturator and interiliac positions and the PULT can replace a full side specific pelvic LND when SLN mapping is unsuccessful. The obturator fossa is the predominant location for metastatic disease.

Sentinel lymph node biopsy experience in squamous cell carcinoma of the oral mucosa сT1–2N0M0

Introduction. Head and neck cancer is the 7th most common malignancy worldwide; squamous cell carcinoma of the oral mucosa are almost a third of tumors of that localization. Metastatic lesions of the neck lymph nodes are an unfavorable prognostic factor for malignant tumors of that location since it is associated with a 50 % decrease in overall survival. In this regard, the detection of metastases to the neck lymph nodes is an important component of high-quality oncological care for patients with that pathology.Aim. To evaluate the efficiency of sentinel lymph node biopsy in squamous cell carcinoma of cavity of mouth mucosa cT1–2N0М0.Materials and methods. 72 patients were included in trial at the age from 21 to 74 (mean 57.3) with confirmed squamous cell carcinoma of cavity of mouth mucosa cT1–2N0М0. No evidence of regional metastasis, by preoperative examination, including ultrasound, computed tomography with intravenous contrast was observed. All patients received radioisotope research to determine localization of sentinel lymph nodes, and then biopsy of that nodes was performed. Before obtaining information about the status of the sentinel lymph node, radical neck dissection was not performed. Pathology report with immunohistochemical investigation was performed by pathologist of A. F. Tsyb Medical Radiological Research Center – branch of the National Medical Research Radiological Center, Ministry of Health of Russia.Results. When assessing efficiency of sentinel lymph node method, true positives results (detection of metastasis in sentinel lymph node) were achieved in 3 (4.17 %) out of 72 cases. Follow up time was from 1 to 69 months. Among those cases, where metastasis in sentinel lymph nodes were not detected, relapse in regional lymph nodes was developed in 3 (4.35 %) out of 69 cases. Radical neck dissection was performed in cases with metastasis in sentinel lymph nodes. The specificity of method was 95 %, the predictive value of a negative result was 0.04.Conclusion. Sentinel lymph neck node biopsy is an effective method of subclinical locoregional metastases detection in cancer of oral mucosa cT1–2N0M0. In our study of sentinel lymph neck node biopsy, oncological outcomes were comparable to radical neck dissection, with fewer postoperative complications.

Omitting Axillary Dissection in Breast Cancer with Sentinel-Node Metastases

BackgroundTrials evaluating the omission of completion axillary-lymph-node dissection in patients with clinically node-negative breast cancer and sentinel-lymph-node metastases have been compromised by limited statistical power, uncertain nodal radiotherapy target volumes, and a scarcity of data on relevant clinical subgroups.MethodsWe conducted a noninferiority trial in which patients with clinically node-negative primary T1 to T3 breast cancer (tumor size, T1, ≤20 mm; T2, 21 to 50 mm; and T3, >50 mm in the largest dimension) with one or two sentinel-node macrometastases (metastasis size, >2 mm in the largest dimension) were randomly assigned in a 1:1 ratio to completion axillary-lymph-node dissection or its omission (sentinel-node biopsy only). Adjuvant treatment and radiation therapy were used in accordance with national guidelines. The primary end point was overall survival. We report here the per-protocol and modified intention-to-treat analyses of the prespecified secondary end point of recurrence-free survival. To show noninferiority of sentinel-node biopsy only, the upper boundary of the confidence interval for the hazard ratio for recurrence or death had to be below 1.44.ResultsBetween January 2015 and December 2021, a total of 2766 patients were enrolled across five countries. The per-protocol population included 2540 patients, of whom 1335 were assigned to undergo sentinel-node biopsy only and 1205 to undergo completion axillary-lymph-node dissection (dissection group). Radiation therapy including nodal target volumes was administered to 1192 of 1326 patients (89.9%) in the sentinel-node biopsy–only group and to 1058 of 1197 (88.4%) in the dissection group. The median follow-up was 46.8 months (range, 1.5 to 94.5). Overall, 191 patients had recurrence or died. The estimated 5-year recurrence-free survival was 89.7% (95% confidence interval [CI], 87.5 to 91.9) in the sentinel-node biopsy–only group and 88.7% (95% CI, 86.3 to 91.1) in the dissection group, with a country-adjusted hazard ratio for recurrence or death of 0.89 (95% CI, 0.66 to 1.19), which was significantly (P<0.001) below the prespecified noninferiority margin.ConclusionsThe omission of completion axillary-lymph-node dissection was noninferior to the more extensive surgery in patients with clinically node-negative breast cancer who had sentinel-node macrometastases, most of whom received nodal radiation therapy. (Funded by the Swedish Research Council and others; SENOMAC ClinicalTrials.gov number, NCT02240472.)

De-escalation of axillary treatment in the event of a positive sentinel lymph node biopsy in cT1-2 N0 breast cancer treated with mastectomy: nationwide registry study (BOOG 2013-07).

Trials have demonstrated the safety of omitting completion axillary lymph node dissection in patients with cT1-2 N0 breast cancer operated with breast-conserving surgery who have limited metastatic burden in the sentinel lymph node. The aim of this registry study was to provide insight into the oncological safety of omitting completion axillary treatment in patients operated with mastectomy who have limited-volume sentinel lymph node metastasis. Women diagnosed in 2013-2014 with unilateral cT1-2 N0 breast cancer treated with mastectomy, with one to three sentinel lymph node metastases (pN1mi-pN1a), were identified from the Netherlands Cancer Registry, and classified by axillary treatment: no completion axillary treatment, completion axillary lymph node dissection, regional radiotherapy, or completion axillary lymph node dissection followed by regional radiotherapy. The primary endpoint was 5-year regional recurrence rate. Secondary endpoints included recurrence-free interval and overall survival, among others. In total, 1090 patients were included (no completion axillary treatment, 219 (20.1%); completion axillary lymph node dissection, 437 (40.1%); regional radiotherapy, 327 (30.0%); completion axillary lymph node dissection and regional radiotherapy, 107 (9.8%)). Patients in the group without completion axillary treatment had more favourable tumour characteristics and were older. The overall 5-year regional recurrence rate was 1.3%, and did not differ significantly between the groups. The recurrence-free interval was also comparable among groups. The group of patients who did not undergo completion axillary treatment had statistically significantly worse 5-year overall survival, owing to a higher percentage of non-cancer deaths. In this registry study of patients with cT1-2 N0 breast cancer treated with mastectomy, with low-volume sentinel lymph node metastasis, the 5-year regional recurrence rate was low and comparable between patients with and without completion axillary treatment.

A Convolution Neural Network for rapid and accurate staging of Breast Cancer based on Mammography

IntroductionBreast cancer (BC) has been one of the main reasons for women’s deaths in the recent decade. This study hypothesizes that the deep features resulting from mammography staging can be used to determine tumor staging and lymph nodes of the sentinel lymph node (SLN) before surgery in BC patients. MethodsA retrospective study of female BC patients being treated. Pathological variables were collected from medical records, including age, tumor location, staging based on the American Joint Committee on Cancer (AJCC), pathological type, human epidermal growth factor receptor 2 (HER2) status, Progesterone Receptor (PR) status, and Estrogen Receptor (ER) status. The contrast enhancement technique with Contrast-Limited Adaptive Histogram Equalization (CLAHE) was applied to the studied data using MATLAB software. The images were first changed from color to gray in the preprocessing process, and then the images were changed from gray to color again. The regions of interest (ROI) of the primary tumor were isolated from other areas of breast tissue by two expert radiologists. Therefore, a proposed convolution neural network (CNN) model was applied. ResultsIn this study, 390 patients' information was used to analyze the data. In total, out of 390 patients, 300 had metastatic SLN involvement, and 390 had a tumor size greater than 1 mm. Performance evaluation of the proposed CNN staging was AUC 0.919 (95% CI: 0.852,0.971) for the training group and AUC 0.877 (95% CI: 0.805,0.949) for the validation group. ConclusionsThis study proposes a deep learning model based on CNN based on mammographic images, which has a suitable function for determining tumor staging and SLN metastasis.

Classification of breast edema on T2-weighted imaging for predicting sentinel lymph node metastasis and biological behavior in breast cancer

Classification of breast edema on T2-weighted imaging for predicting sentinel lymph node metastasis and biological behavior in breast cancer

Development and validation of a novel model to predict recurrence-free survival and melanoma-specific survival after sentinel lymph node biopsy in patients with melanoma: an international, retrospective, multicentre analysis

The introduction of adjuvant systemic treatment for patients with high-risk melanomas necessitates accurate staging of disease. However, inconsistencies in outcomes exist between disease stages as defined by the American Joint Committee on Cancer (8th edition). We aimed to develop a tool to predict patient-specific outcomes in people with melanoma rather than grouping patients according to disease stage. Patients older than 13 years with confirmed primary melanoma who underwent sentinel lymph node biopsy (SLNB) between Oct 29, 1997, and Nov 11, 2013, at four European melanoma centres (based in Berlin, Germany; Amsterdam and Rotterdam, the Netherlands; and Warsaw, Poland) were included in the development cohort. Potential predictors of recurrence-free and melanoma-specific survival assessed were sex, age, presence of ulceration, primary tumour location, histological subtype, Breslow thickness, sentinel node status, number of sentinel nodes removed, maximum diameter of the largest sentinel node metastasis, and Dewar classification. A prognostic model and nomogram were developed to predict 5-year recurrence-free survival on a continuous scale in patients with stage pT1b or higher melanomas. This model was also calibrated to predict melanoma-specific survival. Model performance was assessed by discrimination (area under the time-dependent receiver operating characteristics curve [AUC]) and calibration. External validation was done in a cohort of patients with primary melanomas who underwent SLNB between Jan 30, 1997, and Dec 12, 2013, at the Melanoma Institute Australia (Sydney, NSW, Australia). The development cohort consisted of 4071 patients, of whom 2075 (51%) were female and 1996 (49%) were male. 889 (22%) had sentinel node-positive disease and 3182 (78%) had sentinel node-negative disease. The validation cohort comprised 4822 patients, of whom 1965 (41%) were female and 2857 (59%) were male. 891 (18%) had sentinel node-positive disease and 3931 (82%) had sentinel node-negative disease. Median follow-up was 4·8 years (IQR 2·3-7·8) in the development cohort and 5·0 years (2·2-8·9) in the validation cohort. In the development cohort, 5-year recurrence-free survival was 73·5% (95% CI 72·0-75·1) and 5-year melanoma-specific survival was 86·5% (85·3-87·8). In the validation cohort, the corresponding estimates were 66·1% (64·6-67·7) and 83·3% (82·0-84·6), respectively. The final model contained six prognostic factors: sentinel node status, Breslow thickness, presence of ulceration, age at SLNB, primary tumour location, and maximum diameter of the largest sentinel node metastasis. In the development cohort, for the model's prediction of recurrence-free survival, the AUC was 0·80 (95% CI 0·78-0·81); for prediction of melanoma-specific survival, the AUC was 0·81 (0·79-0·84). External validation showed good calibration for both outcomes, with AUCs of 0·73 (0·71-0·75) and 0·76 (0·74-0·78), respectively. Our prediction model and nomogram accurately predicted patient-specific risk probabilities for 5-year recurrence-free and melanoma-specific survival. These tools could have important implications for clinical decision making when considering adjuvant treatments in patients with high-risk melanomas. Erasmus Medical Centre Cancer Institute.

Multimodal ultrasound imaging: a method to improve the accuracy of sentinel lymph node diagnosis in breast cancer.

This study assessed the utility of multimodal ultrasound in enhancing the accuracy of breast cancer sentinel lymph node (SLN) assessment and compared it with single-modality ultrasound. Preoperative examinations, including two-dimensional ultrasound (2D US), intradermal contrast-enhanced ultrasound (CEUS), intravenous CEUS, shear-wave elastography (SWE), and surface localization, were conducted on 86 SLNs from breast cancer patients. The diagnostic performance of single and multimodal approaches for detecting metastatic SLNs was compared to postoperative pathological results. Among the 86 SLNs, 29 were pathologically diagnosed as metastatic, and 57 as non-metastatic. Single-modality ultrasounds had AUC values of 0.826 (intradermal CEUS), 0.705 (intravenous CEUS), 0.678 (2D US), and 0.677 (SWE), respectively. Intradermal CEUS significantly outperformed the other methods (p<0.05), while the remaining three methods had no statistically significant differences (p>0.05). Multimodal ultrasound, combining intradermal CEUS, intravenous CEUS, 2D US, and SWE, achieved an AUC of 0.893, with 86.21% sensitivity and 84.21% specificity. The DeLong test confirmed that multimodal ultrasound was significantly better than the four single-modal ultrasound methods (p<0.05). Decision curve analysis and clinical impact curves demonstrated the superior performance of multimodal ultrasound in identifying high-risk SLN patients. Multimodal ultrasound improves breast cancer SLN identification and diagnostic accuracy.

Abstract 5526: Activation of platelet-activating factor (PAF) in high-risk melanoma patients with nodal metastasis

Abstract Background: Platelet-activating factor (PAF) is one of the lipid mediators in ultraviolet-induced immunosuppression signaling. Sentinel lymph nodes (SLNs) are the first organs to receive lymphatic drainage via afferent lymphatic channels leading directly from the primary melanoma. In patients with nodal metastasis, it has been shown that the SLN has a profoundly immunotolerant microenvironment. We sought to determine whether lymphatic fluid signals, including PAF, may be involved in modulating the SLN immune microenvironment to favor melanoma metastasis. Hypothesis: Upregulation of PAF can bind to its receptor on monocytes and activate downstream immunosuppressive chemokines, resulting in an immunosuppressed environment in SLNs that permits nodal metastasis and melanoma progression. Methods: Lymphatic fluids, plasma samples, and SLN samples were collected from patients undergoing surgical excision of melanoma with SLN biopsy under an IRB-approved protocol. Metabolic analyses were performed on lymphatic fluids from high- versus low-risk patients by two-dimensional liquid chromatography system coupled with mass spectrometry (2D LC-MS). Single cell sequencing was done on single cell suspensions from SLN samples. Protein array was used to compare the cytokine and chemokine levels in plasma samples from high- versus low-risk melanoma patients. We compared two groups: low-risk (no SLN metastasis) and high-risk (with SLN metastasis). Results: Lymphatic fluid PAF levels were 3-fold greater in high-risk melanoma patients compared with low-risk patients (p=0.0039). Macrophages were identified as the cell type with greatest PTAFR (platelet-activating factor receptor) expression by single cell sequencing. CCL17 levels in plasma samples from high-risk patients were significantly lower than in low-risk patients (p&amp;lt;0.05). These results suggest that increased PAF in lymphatic fluid may bind to PTAFR in SLN macrophages, inhibit chemokines (such as CCL17), and result in an immunosuppressive SLN environment to favor nodal metastasis and melanoma progression. Conclusion: Lymphatic fluid PAF signaling may contribute to an immunotolerant microenvironment in the SLN that allows nodal metastasis and melanoma progression through downregulation of CCL17. Further studies will investigate whether this pathway can be exploited to therapeutic advantage. Citation Format: Austin McMasters, Julia Chariker, Jae Yeon Hwang, Xinmin Yin, Xipeng Ma, Raobo Xu, Xiang Zhang, Juw Won Park, Kelly M. McMasters, Hongying Hao. Activation of platelet-activating factor (PAF) in high-risk melanoma patients with nodal metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5526.

Carbon nanoparticles versus patent blue dye for detection of sentinel lymph node in patients with early breast cancer

Background Sentinel lymph nodes biopsy (SLNB) has replaced axillary lymph node dissection (ALND) in a considerable percentage of patients with early-stage breast cancer which was a great advance in preventing many surgical complications and enhancing their health welfare. Although there are different sentinel lymph nodes (SLNs) tracers with different identification rates, there is no agreement about the idealistic method. Aim The study was designed to compare carbon nanoparticles and patent blue v dye regarding SLNs detection rate, number of SLNs, time of detection, metastatic SLNs, cost, and safety in patients with early breast cancer and clinically node-negative axilla. Patients and methods A total of 40 patients with axillary lymph node-negative early-stage breast cancer patients were divided into two groups and subjected to carbon nanoparticles and patent blue V dye in group A and group B, respectively. Patients who were pregnant or lactating had node-positive axilla (N1-3) or metastatic breast cancer (M1) or had neoadjuvant chemotherapy were excluded. Results The mean age was 48.3±9.5 and 47 ±8.9, while the mean BMI of 33.3±4.8 and 32.834±4.862, the SLN detection rates were 95% and 90% in groups A and B, respectively. A total of 128 sentinel lymph nodes (SLNs) were removed from patients in the two groups (65 with Carbon Nanoparticles and 63 with patent blue dye). The mean number of SLNs was 3.4±0.7 (range, 2–5) and 3.5±1.2 (range, 2–7), mean time of SLNs detection was 13.5±4.5 (range, 7–22) and 12.7± 3.6 (range, 7–18 min) between group A and B, respectively. Conclusion There is no significant difference between carbon nanoparticles and patent blue dye regarding axillary SLNs in early breast cancer regarding identification rate, number of SLNs, time of detection, metastatic SLNs, cost, and safety with slight preference to carbon nanoparticles regarding postoperative skin staining and Egyptian market availability.

Abstract 3780: From diagnostic labs to rapid near-patient testing: Bridging across RT-qPCR platforms of a clinicopathological and gene expression model for cutaneous melanoma patients

Abstract Background: Gene expression signatures are becoming increasingly common in clinical settings, for diagnosis, risk stratification, and treatment response prediction. However, deployment in clinical practice often entails a molecular platform different from the one used for development. Transporting molecular signatures across platforms (“bridging”) cannot be achieved directly, due to differences in scales and distributions in gene expression and requires bespoke methods. Here, we focused on the bridging of a clinicopathological and gene expression model (CP-GEP) across two reverse transcription-quantitative polymerase chain reaction (RT-qPCR) platforms: a single-plex SYBR Green qPCR, and a multiplex TaqMan probe-based qPCR (Idylla TM platform). CP-GEP is a regression model, combining eight genes (plus two housekeeping genes) and two clinicopathologic variables (age and Breslow thickness), able to stratify patients with melanoma into two groups based on their risk of sentinel lymph node metastasis. Methods: For the bridging, we selected 150 samples of primary melanoma patients who underwent a sentinel lymph node biopsy from a cohort of stage I-III melanoma patients. We measured the expression of the eight genes on both qPCR platforms and quantified them as ∆Ct. Within a bootstrapping scheme (500 repeats), for each gene, we learned a mapping (“bridging function”) between ∆Ct spaces, using all eight genes as regressors. Exploiting the linearity of per-gene bridging functions, we reparametrized the CP-GEP model so that we could directly use it in the target platform. We assessed the performance of the bridging, in terms of Percent Agreement (PA), defined as the percentage of the concordant binary outputs between the original and the bridged models; both in the bootstrapped samples and in 15 samples from an independent cohort. Results: In the bootstrapped samples, we obtained a PA of 100%, in the intervals for which we had pre-defined acceptance criteria, based on the distance from the cut point; and we had a mean PA of 89.2% [95% CI, 85.23%, 94.6%] when we considered all samples. In the external validation, we achieved a PA of 100%; all performance metrics were identical. The continuous scores of the original and bridged models were in excellent agreement, with an R2 equal to 0.95 both in the bridging and external validation cohorts. Conclusions: We showed that a model, combining gene expression and clinicopathologic variables, originally developed on a single-plex SYBR Green RT-qPCR, often used in diagnostic labs, could be robustly reparametrized to be compatible with a multiplex TaqMan probe-based qPCR (Idylla TM platform), more suitable for point-of-care-diagnostics. The ability to transfer models across different molecular platforms can greatly accelerate the translation of fundamental research to clinical practice. Citation Format: Lara Pozza, Sena Zumrutcu, Lizanne Bosman, Ashley van der Spek, Melanie Moreau, Dennie Tempel, Jvalini Dwarkasing, Domenico Bellomo. From diagnostic labs to rapid near-patient testing: Bridging across RT-qPCR platforms of a clinicopathological and gene expression model for cutaneous melanoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3780.

Survival associated with the use of one-step nucleic acid amplification (OSNA) to detect sentinel lymph node metastasis in cervical cancer

IntroductionSentinel lymph node (SLN) biopsy is part of surgical treatment of apparent early-stage cervical cancer. SLN is routinely analyzed by ultrastaging and immunohistochemistry. The aim of this study was to assess the survival of patients undergoing SLN analyzed by one-step nucleic acid amplification (OSNA) compared with ultrastaging. MethodsSingle-center, retrospective, cohort study. Patients undergoing primary surgery and SLN mapping ( ±pelvic lymphadenectomy) for apparent early-stage cervical cancer between May 2017 and January 2021 were included. SLN was analyzed exclusively with OSNA or with ultrastaging. Patients with bilateral SLN mapping failure, with SLN analyzed alternatively/serially with OSNA and ultrastaging, and undergoing neo-adjuvant therapy were excluded. Baseline clinic-pathological differences between the two groups were balanced with propensity-match analysis. ResultsOne-hundred and fifty-seven patients were included, 50 (31.8%) in the OSNA group and 107 (68.2%) in the ultrastaging group. Median follow up time was 41 months (95%CI:37.9–42.2). 5-year DFS in patients undergoing OSNA versus ultrastaging was 87.0% versus 91.0% (p = 0.809) and 5-year overall survival was 97.9% versus 98.6% (p = 0.631), respectively. No difference in the incidence of lymph node recurrence between the two groups was noted (OSNA 20.0% versus ultrastaging 18.2%, p = 0.931). In the group of negative SLN, no 5-year DFS difference was noted between the two groups (p = 0.692). No 5-year DFS and OS difference was noted after propensity-match analysis (87.6% versus 87.0%, p = 0.726 and 97.4% versus 97.9%, p = 0.998, respectively). ConclusionThe use of OSNA as method to exclusively process SLN in cervical cancer was not associated with worse DFS compared to ultrastaging. Incidence of lymph node recurrence in the two groups was not different.