PET Parameters are Useful in Predicting Endometrial Cancer Risk Classes and Prognosis

2020 ◽  
Author(s):  
Adnan Budak ◽  
Emrah Beyan ◽  
Abdurrahman Hamdi Inan ◽  
Ahkam Göksel Kanmaz ◽  
Onur Suleyman Aldemir ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
High Risk ◽  
Myometrial Invasion ◽  
Risk Groups ◽  
Total Sample ◽  
Tumor Stage ◽  
Low Risk ◽  
Tumor Diameter ◽  
Grade 3 ◽  
Fdg Pet Ct

Abstract Aim We investigate the role of preoperative PET parameters to determine risk classes and prognosis of endometrial cancer (EC). Methods We enrolled 81 patients with EC who underwent preoperative F-18 FDG PET/CT. PET parameters (SUVmax, SUVmean, MTV, TLG), grade, histology and size of the primary tumor, stage of the disease, the degree of myometrial invasion (MI), and the presence of lymphovascular invasion (LVI), cervical invasion (CI), distant metastasis (DM) and lymph node metastasis (LNM) were recorded. The relationship between PET parameters, clinicopathological risk factors and overall survival (OS) was evaluated. Results The present study included 81 patients with EC (mean age 60). Of the total sample, 21 patients were considered low risk (endometrioid histology, stage 1A, grade 1 or 2, tumor diameter < 4 cm, and LVI negative) and 60 were deemed high risk. All of the PET parameters were higher in the presence of a high-risk state, greater tumor size, deep MI, LVI and stage 1B-4B. MTV and TLG values were higher in the patients with non-endometrioid histology, CI, grade 3 and LNM. The optimum cut-off levels for differentiating between the high and low risk patients were: 11.1 for SUVmax (AUC = 0.757), 6 for SUVmean (AUC = 0.750), 6.6 for MTV(AUC = 0.838) and 56.2 for TLG(AUC = 0.835). MTV and TLG values were found as independent prognostic factors for OS, whereas SUVmax and SUVmean values were not predictive. Conclusions The PET parameters are useful in noninvasively differentiating between risk groups of EC. Furthermore, volumetric PET parameters can be predictive for OS of EC.

scholarly journals N6-methyladenosine Methylation Related Immune Biomarkers Correlates With Clinicopathological Characteristics and Prognosis in Clear Cell Renal Cell Carcinoma

2021 ◽  
Author(s):  
Hui Xiong ◽  
Weiting Kang ◽  
Qi Zhang
Keyword(s):  
High Risk ◽  
Immune Checkpoint ◽  
Risk Model ◽  
Risk Group ◽  
Risk Groups ◽  
Tumor Stage ◽  
Low Risk ◽  
Cell Renal Cell Carcinoma ◽  
Immune Genes ◽  
Immune Biomarkers

Abstract Background: This study aimed to explore N6-methyladenosine (m6A) methylation-related immune biomarkers and their clinical value in clear cell renal cell carcinoma (ccRCC).Methods: The RNA-seq data and clinical phenotype of ccRCC were downloaded from TCGA database. Immune-related genes list was downloaded from InnateDB database. Correlation analysis, survival analysis, univariate and multivariate Cox regression analysis were used to investigate the prognostic independent m6A-related immune genes, followed by prognosis risk model establishment. Patients were divided into high/low risk groups, followed by survival analysis, clinical factors, immune checkpoint genes and gene set variation analysis in high-risk vs. low-risk group. Results: Five prognostic independent m6A-related immune genes (PKHD1, IGF2BP3, RORA, FRK and MZF1) were identified. Low expression of PKHD1, RORA and FRK were associated with poor survival, while high expression of IGF2BP3 and MZF1 were associated with poor survival for ccRCC patients. Their expression showed correlations with multiple m6A genes. The risk model could stratify ccRCC patients into high/low risk group, and patients with high-risk were associated with short survival time. High-risk group had an high proportion of patients in tumor stage Ⅲ-Ⅳ and patients with pathologic T3-T4 tumors, lymph node metastasis (N1) and distant metastasis (M1). Ten immune checkpoint genes were differentially expressed in high/low risk groups, such as PD1 and CTLA-4. The risk group could be an independent prognostic factor (HR=1.69, 95% CI 1.07-2.68, P=0.0246). Conclusion: In this study, we developed a five genes risk model, which had independent prognostic value and associated with tumor stage, pathologic T/N/M and immune checkpoint expression in ccRCC.

Preoperative risk stratification using 18F-FDG PET/CT in women with endometrial cancer

2011 ◽  
Vol 50 (05) ◽  
pp. 204-213 ◽  
Author(s):  
H. J. Lee ◽  
C. M. Hong ◽  
B. I. Song ◽  
H. W. Kim ◽  
S. Kang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Fdg Pet ◽  
Figo Stage ◽  
Low Risk ◽  
Histologic Grade ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

SummaryThe aim of this study is to evaluate the usefulness of 18F-FDG PET/CT for preoperative stratification of high-risk and low-risk carcinomas in patients with endometrial cancer. Patients, methods: 60 women (mean age 53.8 ± 9.9 years) with endometrial cancer, who underwent 18F-FDG PET/CT for preoperative staging work-up, followed by primary cytoreductive surgery, were enrolled in this study. Maximum and mean standardized uptake values (SUVmax, SUVmean) of endometrial tumors were measured, and compared with the various clinicopathologic findings obtained after surgery. Tumour aggressiveness was classified as high-risk and low-risk carcinomas. Patients with stage I or II, endometrioid adenocarcinoma, histologic grade 1 or 2, invasion of less than half of the myometrium, maximum tumor size less than 2.0 cm, and absence of cervical invasion and lymphovascular space involvement (LVSI) were classified as the lowrisk carcinoma group. The remaining patients were classified as the high-risk carcinoma group. Results: In univariate analysis, SUVmax of the primary endometrial tumor was significantly higher in patients who were in a postmenopausal state (p = 0.047), large (> 2 cm) primary tumor (p <0.001), nonendometrioid subtype (p = 0.024), invasion of more than half of the myometrium (p = 0.020), or LVSI (p = 0.004). SUVmax differed significantly according to FIGO stage (p = 0.013) and histologic grade (p <0.001). In multivariate analysis, FIGO stage, histologic grade, LVSI, and maximum tumor size demonstrated a significant association with SUVmax (p <0.001; r = 0.843, r2 = 0.711). SUVmean showed similar results. Forty-one (68.3%) patients were diagnosed postoperatively as high-risk and 19 patients (31.7%) as low-risk carcinoma. Patients with high-risk carcinoma (12.1 ± 6.1) showed significantly higher SUVmax than patients with low-risk carcinoma (5.8 ± 2.8, p <0.001). The optimal SUVmax cut-off value of 8.7, determined by ROC analysis, revealed 75.6% sensitivity, 89.5% specificity, and 81.7% accuracy for risk stratification. Conclusion: High-risk endometrial cancer might be differentiated by means of higher SUVmax from low-risk endometrial cancer. 18F-FDG FDG PET/CT can be applied preoperatively for stratification of risk in patients with endometrial cancer.

External validation of two predictive scores of chemotherapy toxicities among older patients with solid cancer, from ELCAPA prospective cohort.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12050-12050
Author(s):  
Maxime Frelaut ◽  
Philippe Caillet ◽  
Stephane Culine ◽  
Elena Paillaud ◽  
Christophe Tournigand ◽  
...  
Keyword(s):  
High Risk ◽  
Prospective Cohort ◽  
Older Patients ◽  
Risk Groups ◽  
Low Risk ◽  
Solid Cancer ◽  
Cancer Type ◽  
Severe Toxicity ◽  
Increased Risk ◽  
Grade 3

12050 Background: Severe chemotherapy toxicities are frequent among older patients, and may have a major impact on mortality, comorbidities, and quality of life. Two scores were developed to predict severe toxicities: Chemotherapy Risk Assessment Scale for High-age patients (CRASH) score, and Cancer and Aging Research Group Study (CARG) score. The main objective of the present study was to evaluate the predictive value of both scores on an external cohort. Secondary objective was to identify individual predictive factors of severe chemotherapy toxicities. Methods: The Elderly Cancer Patients (ELCAPA) survey consists in a prospective cohort including patients aged 70 years or older referred for a geriatric assessment (GA) before anticancer treatment, such as chemotherapy for solid cancer. CARG and CRASH score were retrospectively collected. Main endpoint was grade 3/4/5 toxicities for CARG-score, hematologic grade 4/5 and non-hematologic grade 3/4/5 toxicities for CRASH-score. Calibration and discrimination (Area Under ROC Curve, AUC) were evaluated. Results: From July 2010 to March 2017, 248 patients were included. Among them, 150 (61%) experienced severe toxicity as defined in CARG study, and 126 (51%) as defined in CRASH study. There was no increased risk of toxicity in intermediate and high risk groups of CARG-score compared to low risk group (OR = 0.3, IC95% [0.1 – 1.4], p= 0.1; and OR = 0.4, IC95%[0.1 – 1.7], p= 0.2 respectively, AUC-ROC = 0.55). Similarly, there was no more risk of severe toxicities in intermediate low, intermediate high, and high risk groups compared to low risk groups of CRASH combined score (respectively OR = 1, IC95% [0.3 – 3.6], p= 0.99; OR = 1, IC95% [0.3 – 3.4], p= 0.9; OR = 1.5, IC95% [0.3 – 8.1], p= 0.67; AUC-ROC = 0.52). A multivariate predictive model including cancer type, performance status (PS 0 vs. PS 1-2), number of severe comorbidities (Cumulative Illness Rating Scale for Geriatrics, CIRS-G, ≥1 grade 3 or 4 comorbidity), body mass index (BMI > 25 kg/m² protective vs. normal BMI), and Chemotox score (1 vs. 0) had an AUC of 0.78. Conclusions: Neither CARG nor CRASH score was predictive of severe chemotherapy toxicities in the ELCAPA cohort. There is a need to identify new predictors of chemotherapy toxicity in older patients with solid cancers.

scholarly journals An Immune-Related Long Noncoding RNA Signature as a Prognostic Biomarker for Human Endometrial Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ziwei Wang ◽  
Yan Liu ◽  
Jun Zhang ◽  
Rong Zhao ◽  
Xing Zhou ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
High Risk ◽  
Noncoding Rna ◽  
Prognostic Model ◽  
Risk Group ◽  
Risk Groups ◽  
Figo Stage ◽  
Low Risk ◽  
Pathological Grade ◽  
Immune Related Genes

Background. Endometrial cancer is among the most common malignant tumors threatening the health of women. Recently, immunity and long noncoding RNA (lncRNA) have been widely examined in oncology and shown to play important roles in oncology. Here, we searched for immune-related lncRNAs as prognostic biomarkers to predict the outcome of patients with endometrial cancer. Methods. RNA sequencing data for 575 endometrial cancer samples and immune-related genes were downloaded from The Cancer Genome Atlas (TCGA) database and gene set enrichment analysis (GSEA) gene sets, respectively. Immune-related lncRNAs showing a coexpression relationship with immune-related genes were obtained, and Cox regression analysis was performed to construct the prognostic model. Survival, independent prognostic, and clinical correlation analyses were performed to evaluate the prognostic model. Immune infiltration of endometrial cancer samples was also evaluated. Functional annotation of 12 immune-related lncRNAs was performed using GSEA software. Prognostic nomogram and survival analysis for independent prognostic risk factors were performed to evaluate the prognostic model and calculate the survival time based on the prognostic model. Results. Twelve immune-related lncRNAs (ELN-AS1, AC103563.7, PCAT19, AF131215.5, LINC01871, AC084117.1, NRAV, SCARNA9, AL049539.1, POC1B-AS1, AC108134.4, and AC019080.5) were obtained, and a prognostic model was constructed. The survival rate in the high-risk group was significantly lower than that in the low-risk group. Patient age, pathological grade, the International Federation of Gynecology and Obstetrics (FIGO) stage, and risk status were the risk factors. The 12 immune-related lncRNAs correlated with patient age, pathological grade, and FIGO stage. Principal component analysis and functional annotation showed that the high-risk and low-risk groups separated better, and the immune status of the high-risk and low-risk groups differed. Nomogram and receiver operating characteristic (ROC) curves effectively predicted the prognosis of endometrial cancer. Additionally, age, pathological grade, FIGO stage, and risk status were all related to patient survival. Conclusion. We identified 12 immune-related lncRNAs affecting the prognosis of endometrial cancer, which may be useful as therapeutic targets and molecular biomarkers.

scholarly journals Controversies in the Adjuvant Therapy of Endometrial Cancer

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
Sheng-Mou Hsiao ◽  
Lin-Hung Wei
Keyword(s):  
Risk Factors ◽  
Endometrial Cancer ◽  
High Risk ◽  
Adjuvant Therapy ◽  
Randomized Trials ◽  
Female Genital Tract ◽  
Myometrial Invasion ◽  
Cell Types ◽  
High Risk Factors ◽  
Grade 3

Endometrial cancer is the most common malignancy of the female genital tract. Surgical treatment includes hysterectomy, bilateral salpingo-oophorectomy, and an appropriate staging procedure. Relapse of endometrial cancer may occur in patients with high risk factors, such as old age, grade 3 cancer, deep myometrial invasion, and papillary serous and clear cell types. In recent years, several randomized trials reported the results of adjuvant therapy for patients with high risk factors. Nonetheless, some controversies still exist. This paper presents and discusses the results of important randomized trials of adjuvant therapy for endometrial cancer with risk factors.

Combination of sentinel lymph node mapping and uterine frozen section examination to reduce side-specific lymphadenectomy rate in endometrial cancer: a Turkish Gynecologic Oncology Group study (TRSGO-SLN-002)

2020 ◽  
Vol 30 (7) ◽  
pp. 1005-1011
Author(s):  
Duygu Altin ◽  
Salih Taşkın ◽  
Ilker Kahramanoglu ◽  
Dogan Vatansever ◽  
Nedim Tokgozoglu ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Frozen Section ◽  
Myometrial Invasion ◽  
Pelvic Lymphadenectomy ◽  
Low Risk ◽  
Tumor Diameter ◽  
Diagnostic Efficacy ◽  
Frozen Section Examination

ObjectiveThis study aimed to find out whether side-specific pelvic lymphadenectomy can be omitted without compromising diagnostic efficacy according to “reflex frozen section” analysis of the uterus in case of sentinel lymph node (SLN) mapping failure.MethodsPatients who underwent surgery for endometrial cancer with an SLN algorithm were stratified as low-risk or high-risk according to the uterine features on the final pathology reports. Two models for low-risk patients were defined to omit side-specific pelvic lymphadenectomy: strategy A included patients with endometrioid histology, grade 1–2, and <50% myometrial invasion irrespective of the tumor diameter; strategy B included all factors of strategy A with the addition of tumor diameter ≤2 cm. Theoretical side-specific pelvic lymphadenectomy rates were calculated for the two strategies, assuming side-specific pelvic lymphadenectomy was omitted if low-risk features were present on reflex uterine frozen examination, and compared with the standard National Comprehensive Cancer Network (NCCN) SLN algorithm.Results372 endometrial cancer patients were analyzed. 230 patients (61.8%) had endometrioid grade 1 or 2 tumors with <50% myometrial invasion (strategy A), and in 123 (53.4%) of these patients the tumor diameter was ≤2 cm (strategy B); 8 (3.5%) of the 230 cases had lymphatic metastasis. None of them were detected by side-specific pelvic lymphadenectomy and metastases were limited to SLNs in 7 patients. At least one pelvic side was not mapped in 107 (28.8%) cases in the entire cohort, and all of these cases would require a side-specific pelvic lymphadenectomy based on the NCCN SLN algorithm. This rate could have been significantly decreased to 11.8% and 19.4% by applying reflex frozen section examination of the uterus using strategy A and strategy B, respectively.ConclusionReflex frozen section examination of the uterus can be a feasible option to decide whether side-specific pelvic lymphadenectomy is necessary for all the patients who failed to map with an SLN algorithm. If low-risk factors are found on frozen section examination, side-specific pelvic lymphadenectomy can be omitted without compromising diagnostic efficacy for lymphatic spread.

A Critical Overview of Systematic Reviews of Chemotherapy for Advanced and Locally Advanced Pancreatic Cancer using both AMSTAR2 and ROBIS as Quality Assessment Tools

2020 ◽  
Vol 15 ◽  
Author(s):  
Amit Dang ◽  
Surendar Chidirala ◽  
Prashanth Veeranki ◽  
BN Vallish
Keyword(s):  
Pancreatic Cancer ◽  
High Risk ◽  
Systematic Reviews ◽  
Locally Advanced ◽  
Advanced Pancreatic Cancer ◽  
Risk Of Bias ◽  
Low Risk ◽  
Locally Advanced Pancreatic Cancer ◽  
Grade 3 ◽  
Critical Overview

Background: We performed a critical overview of published systematic reviews (SRs) of chemotherapy for advanced and locally advanced pancreatic cancer, and evaluated their quality using AMSTAR2 and ROBIS tools. Materials and Methods: PubMed and Cochrane Central Library were searched for SRs on 13th June 2020. SRs with metaanalysis which included only randomized controlled trials and that had assessed chemotherapy as one of the treatment arms were included. The outcome measures, which were looked into, were progression-free survival (PFS), overall survival (OS), and adverse events (AEs) of grade 3 or above. Two reviewers independently assessed all the SRs with both ROBIS and AMSTAR2. Results: Out of the 1,879 identified records, 26 SRs were included for the overview. Most SRs had concluded that gemcitabine-based combination regimes, prolonged OS and PFS, but increased the incidence of grade 3-4 toxicities, when compared to gemcitabine monotherapy, but survival benefits were not consistent when gemcitabine was combined with molecular targeted agents. As per ROBIS, 24/26 SRs had high risk of bias, with only 1/26 SR having low risk of bias. As per AMSTAR2, 25/26 SRs had critically low, and 1/26 SR had low, confidence in the results. The study which scored ‘low’ risk of bias in ROBIS scored ‘low confidence in results’ in AMSTAR2. The inter-rater reliability for scoring the overall confidence in the SRs with AMSTAR2 and the overall domain in ROBIS was substantial; ROBIS: kappa=0.785, SEM=0.207, p<0.001; AMSTAR2: kappa=0.649, SEM=0.323, p<0.001. Conclusion: Gemcitabine-based combination regimens can prolong OS and PFS but also worsen AEs when compared to gemcitabine monotherapy. The included SRs have an overall low methodological quality and high risk of bias as per AMSTAR2 and ROBIS respectively.

Short-term risk stratification using CADILLAC risk score in patients with ST elevation myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Satou ◽  
H Kitahara ◽  
K Ishikawa ◽  
T Nakayama ◽  
Y Fujimoto ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Adverse Events ◽  
Risk Score ◽  
Risk Group ◽  
Risk Groups ◽  
Low Risk ◽  
Short Term ◽  
Recurrent Myocardial Infarction ◽  
St Elevation

Abstract Background The recent reperfusion therapy for ST-elevation myocardial infarction (STEMI) has made the length of hospital stay shorter without adverse events. CADILLAC risk score is reportedly one of the risk scores predicting the long-term prognosis in STEMI patients. Purpose To invenstigate the usefulness of CADILLAC risk score for predicting short-term outcomes in STEMI patients. Methods Consecutive patients admitted to our university hospital and our medical center with STEMI (excluding shock, arrest case) who underwent primary PCI between January 2012 and April 2018 (n=387) were enrolled in this study. The patients were classified into 3 groups according to the CADILLAC risk score: low risk (n=176), intermediate risk (n=87), and high risk (n=124). Data on adverse events within 30 days after hospitalization, including in-hospital death, sustained ventricular arrhythmia, recurrent myocardial infarction, heart failure requiring intravenous treatment, stroke, or clinical hemorrhage, were collected. Results In the low risk group, adverse events within 30 days were significantly less observed, compared to the intermediate and high risk groups (n=13, 7.4% vs. n=13, 14.9% vs. n=58, 46.8%, p&lt;0.001). In particular, all adverse events occurred within 3 days in the low risk group, although adverse events, such as heart failure (n=4), recurrent myocardial infarction (n=1), stroke (n=1), and gastrointestinal bleeding (n=1), were substantially observed after day 4 of hospitalization in the intermediate and high risk groups. Conclusions In STEMI patients with low CADILLAC risk score, better short-term prognosis was observed compared to the intermediate and high risk groups, and all adverse events occurred within 3 days of hospitalization, suggesting that discharge at day 4 might be safe in this study population. CADILLAC risk score may help stratify patient risk for short-term prognosis and adjust management of STEMI patients. Initial event occurrence timing Funding Acknowledgement Type of funding source: None

scholarly journals A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Qian Yan ◽  
Wenjiang Zheng ◽  
Boqing Wang ◽  
Baoqian Ye ◽  
Huiyan Luo ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
High Risk ◽  
Risk Score ◽  
Immune Cells ◽  
Prognostic Model ◽  
Risk Groups ◽  
Low Risk ◽  
Prognostic Performance ◽  
Immune Related Genes

Abstract Background Hepatocellular carcinoma (HCC) is a disease with a high incidence and a poor prognosis. Growing amounts of evidence have shown that the immune system plays a critical role in the biological processes of HCC such as progression, recurrence, and metastasis, and some have discussed using it as a weapon against a variety of cancers. However, the impact of immune-related genes (IRGs) on the prognosis of HCC remains unclear. Methods Based on The Cancer Gene Atlas (TCGA) and Immunology Database and Analysis Portal (ImmPort) datasets, we integrated the ribonucleic acid (RNA) sequencing profiles of 424 HCC patients with IRGs to calculate immune-related differentially expressed genes (DEGs). Survival analysis was used to establish a prognostic model of survival- and immune-related DEGs. Based on genomic and clinicopathological data, we constructed a nomogram to predict the prognosis of HCC patients. Gene set enrichment analysis further clarified the signalling pathways of the high-risk and low-risk groups constructed based on the IRGs in HCC. Next, we evaluated the correlation between the risk score and the infiltration of immune cells, and finally, we validated the prognostic performance of this model in the GSE14520 dataset. Results A total of 100 immune-related DEGs were significantly associated with the clinical outcomes of patients with HCC. We performed univariate and multivariate least absolute shrinkage and selection operator (Lasso) regression analyses on these genes to construct a prognostic model of seven IRGs (Fatty Acid Binding Protein 6 (FABP6), Microtubule-Associated Protein Tau (MAPT), Baculoviral IAP Repeat Containing 5 (BIRC5), Plexin-A1 (PLXNA1), Secreted Phosphoprotein 1 (SPP1), Stanniocalcin 2 (STC2) and Chondroitin Sulfate Proteoglycan 5 (CSPG5)), which showed better prognostic performance than the tumour/node/metastasis (TNM) staging system. Moreover, we constructed a regulatory network related to transcription factors (TFs) that further unravelled the regulatory mechanisms of these genes. According to the median value of the risk score, the entire TCGA cohort was divided into high-risk and low-risk groups, and the low-risk group had a better overall survival (OS) rate. To predict the OS rate of HCC, we established a gene- and clinical factor-related nomogram. The receiver operating characteristic (ROC) curve, concordance index (C-index) and calibration curve showed that this model had moderate accuracy. The correlation analysis between the risk score and the infiltration of six common types of immune cells showed that the model could reflect the state of the immune microenvironment in HCC tumours. Conclusion Our IRG prognostic model was shown to have value in the monitoring, treatment, and prognostic assessment of HCC patients and could be used as a survival prediction tool in the near future.

scholarly journals CanAssist Breast Impacting Clinical Treatment Decisions in Early-Stage HR+ Breast Cancer Patients: Indian Scenario

2019 ◽  
Author(s):  
Satish Sankaran ◽  
Jyoti Bajpai Dikshit ◽  
Chandra Prakash SV ◽  
SE Mallikarjuna ◽  
SP Somashekhar ◽  
...  
Keyword(s):  
High Risk ◽  
Early Stage ◽  
Risk Groups ◽  
Treatment Decisions ◽  
Low Risk ◽  
Not Given ◽  
Breast Cancer Patients ◽  
Number Of Patients ◽  
Risk Of Cancer ◽  
The Impact

AbstractCanAssist Breast (CAB) has thus far been validated on a retrospective cohort of 1123 patients who are mostly Indians. Distant metastasis–free survival (DMFS) of more than 95% was observed with significant separation (P < 0.0001) between low-risk and high-risk groups. In this study, we demonstrate the usefulness of CAB in guiding physicians to assess risk of cancer recurrence and to make informed treatment decisions for patients. Of more than 500 patients who have undergone CAB test, detailed analysis of 455 patients who were treated based on CAB-based risk predictions by more than 140 doctors across India is presented here. Majority of patients tested had node negative, T2, and grade 2 disease. Age and luminal subtypes did not affect the performance of CAB. On comparison with Adjuvant! Online (AOL), CAB categorized twice the number of patients into low risk indicating potential of overtreatment by AOL-based risk categorization. We assessed the impact of CAB testing on treatment decisions for 254 patients and observed that 92% low-risk patients were not given chemotherapy. Overall, we observed that 88% patients were either given or not given chemotherapy based on whether they were stratified as high risk or low risk for distant recurrence respectively. Based on these results, we conclude that CAB has been accepted by physicians to make treatment planning and provides a cost-effective alternative to other similar multigene prognostic tests currently available.

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