Use of Truquant BR radioimmunoassay for early detection of breast cancer recurrence in patients with stage II and stage III disease.

1997 ◽  
Vol 15 (6) ◽  
pp. 2322-2328 ◽  
Author(s):  
D W Chan ◽  
R A Beveridge ◽  
H Muss ◽  
H A Fritsche ◽  
G Hortobagyi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Predictive Value ◽  
Cox Regression ◽  
Recurrent Disease ◽  
Cancer Recurrence ◽  
Stage Ii ◽  
Stage Iii ◽  
Antigen Test ◽  
Cox Regression Analysis ◽  
Test Result

PURPOSE The Truquant BR radioimmunoassay (RIA) (Biomira Diagnostics Inc, Rexdale, Canada) uses the monoclonal antibody B27.29 to quantitate the MUC-1 gene product (CA 27.29 antigen) in serum. We evaluated CA 27.29 antigen in a controlled, prospective clinical trial for its ability to predict relapse in stage II and stage III breast cancer patients. PATIENTS AND METHODS Over a 2-year period, 166 patients who had completed therapy for stage II (80.1%) or III (19.9%) breast cancer and were clinically free of disease were serially tested for CA 27.29 antigen levels. The study was double-masked and cancer recurrence was documented based on clinical findings. Patients with two consecutive CA 27.29 antigen test results above the upper limit of normal were considered positive. RESULTS The Truquant BR RIA had a sensitivity of 57.7%, specificity of 97.9%, positive predictive value of 83.3%, and negative predictive value of 92.6%. The recurrence rate was 15.7%. A Cox regression analysis showed that the only variable to correlate with recurrent disease was the CA 27.29 antigen test result. Patients with a positive test result had increased odds of having a recurrence (odds ratio, 6.8; P < .00001). The test was effective in predicting recurrence in patients with both distant and locoregional disease. In a subgroup of patients with bone pain, CA 27.29 antigen level was found to identify reliably patients who would subsequently develop recurrent disease. CONCLUSION These data demonstrate that the Truquant BR RIA can be used as an aid to predict recurrent breast cancer in patients with stage II and III disease.

scholarly journals Validation of the 12-Gene Colon Cancer Recurrence Score in NSABP C-07 As a Predictor of Recurrence in Patients With Stage II and III Colon Cancer Treated With Fluorouracil and Leucovorin (FU/LV) and FU/LV Plus Oxaliplatin

2013 ◽  
Vol 31 (36) ◽  
pp. 4512-4519 ◽  
Author(s):  
Greg Yothers ◽  
Michael J. O'Connell ◽  
Mark Lee ◽  
Margarita Lopatin ◽  
Kim M. Clark-Langone ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Adjuvant Therapy ◽  
Cox Regression ◽  
Cancer Recurrence ◽  
Recurrence Score ◽  
Recurrence Risk ◽  
Stage Ii ◽  
Stage Iii ◽  
Treatment Benefit ◽  
Stage Ii Colon Cancer

Purpose Accurate assessments of recurrence risk and absolute treatment benefit are needed to inform colon cancer adjuvant therapy. The 12-gene Recurrence Score assay has been validated in patients with stage II colon cancer from the Cancer and Leukemia Group B 9581 and Quick and Simple and Reliable (QUASAR) trials. We conducted an independent, prospectively designed clinical validation study of Recurrence Score, with prespecified end points and analysis plan, in archival specimens from patients with stage II and III colon cancer randomly assigned to fluorouracil (FU) or FU plus oxaliplatin in National Surgical Adjuvant Breast and Bowel Project C-07. Methods Recurrence Score was assessed in 892 fixed, paraffin-embedded tumor specimens (randomly selected 50% of patients with tissue). Data were analyzed by Cox regression adjusting for stage and treatment. Results Continuous Recurrence Score predicted recurrence (hazard ratio for a 25-unit increase in score, 1.96; 95% CI, 1.50 to 2.55; P < .001), as well as disease-free and overall survival (both P < .001). Recurrence Score predicted recurrence risk (P = .001) after adjustment for stage, mismatch repair, nodes examined, grade, and treatment. Recurrence Score did not have significant interaction with stage (P = .90) or age (P = .76). Relative benefit of oxaliplatin was similar across the range of Recurrence Score (interaction P = .48); accordingly, absolute benefit of oxaliplatin increased with higher scores, most notably in patients with stage II and IIIA/B disease. Conclusion The 12-gene Recurrence Score predicts recurrence risk in stage II and stage III colon cancer and provides additional information beyond conventional clinical and pathologic factors. Incorporating Recurrence Score into the clinical context may better inform adjuvant therapy decisions in stage III as well as stage II colon cancer.

scholarly journals Prognostic and Predictive Value of the Tumor-Stroma Ratio in STAGE II Colon Cancer

2020 ◽  
pp. 1-8
Author(s):  
Wilma E. Mesker ◽  
Armin Gerger ◽  
Austrian Breast and Colorectal Cancer Study Group (ABCSG) ◽  
Evelyne Bareck ◽  
Gabi W. van Pelt ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Adjuvant Chemotherapy ◽  
Predictive Value ◽  
Cox Regression ◽  
Tumor Stroma ◽  
Predictive Biomarker ◽  
Distant Recurrence ◽  
Stage Ii ◽  
Cox Regression Analysis ◽  
Stage Ii Colon Cancer

Background: Tumor-stroma ratio (TSR) is an independent prognosticator in colon cancer. Objective: We set out to investigate the predictive power, as well as to validate the prognostic power of TSR in stage II colon cancer patients. Better identification of patients who could benefit from adjuvant chemotherapy remains an important issue in stage II disease. Methods: TSR was microscopically determined on haematoxylin and eosin-stained primary tumor tissue slides of 212 patients who received either adjuvant chemotherapy or surveillance after curative resection in a prospective randomized clinical trial (ABCSG-91). Results: Stroma-high tumors were associated with significantly more cancer-related death ((CaDeath) HR 2.30, 95% CI 1.05−5.03; p=0.037) and significantly shorter distant recurrence-free survival ((DRFS) HR 2.32, 95% CI 1.10−4.87; p=0.027) compared to stroma-low tumors. Backward multivariate Cox-regression analysis demonstrated TSR as an independent prognosticator for DRFS (p=0.027) and CaDeath (p=0.031). TSR did not validate as a predictive biomarker; CaDeath (HR 0.87, 95% CI 0.18−4.17; p=0.87), DRFS (HR 0.76, 95% CI 0.17−3.36; p=0.71) and OS (HR 0.96, 95% CI 0.29−3.21; p=0.95) for the type of chemotherapy given in ABCSG-91. Conclusions: TSR, an easily applicable and inexpensive observer-based method, is an independent predictor of poor prognosis in stage II colon cancer. Predictive value for adjuvant 5-FU/leucovorin could not be demonstrated.

A multifactorial analysis of melanoma. IV. Prognostic factors in 200 melanoma patients with distant metastases (stage III).

1983 ◽  
Vol 1 (2) ◽  
pp. 126-134 ◽  
Author(s):  
C M Balch ◽  
S J Soong ◽  
T M Murad ◽  
J W Smith ◽  
W A Maddox ◽  
...  
Keyword(s):  
Survival Rate ◽  
Cox Regression ◽  
Primary Melanoma ◽  
Distant Metastases ◽  
Stage I ◽  
Stage Ii ◽  
Stage Iii ◽  
Cox Regression Analysis ◽  
Multifactorial Analysis ◽  
Melanoma Patients

A multifactorial analysis of 200 cutaneous melanoma patients with distant metastasis (stage III) was performed on 13 clinical and pathological factors using the Cox regression analysis. There were only three dominant prognostic variables that independently predicted the patient's clinical course: (1) number of metastatic sites (1 vs. 2 vs. greater than or equal to 3, p less than 0.00001), (2) remission duration (less than 12 mo vs. greater than or equal to 12 mo, p = 0.0186), and (3) the location of the metastases (visceral vs. nonvisceral vs. combined, p = 0.0192). Factors that were not significant in the multifactorial analysis included the patients' age and sex, the site of the primary melanoma, the sequence of metastases, and all histopathological features of the primary melanoma (thickness, level of invasion, ulceration, growth pattern, pigmentation, and lymphocyte infiltration). For a single metastatic site, the 1-yr survival rate was 36%, while it was only 13% for 2 sites, and 0% for greater than or equal to 3 sites (p less than 0.00001). The 1-yr survival for patients was 40% for nonvisceral sites (skin, subcutaneous, distant lymph nodes) compared to only 11% for visceral metastases and 8% for combined sites (p less than 0.00001). Pulmonary metastases were associated with a significantly higher survival rate than metastatic melanoma in any other visceral site. The most common first site of distant metastases (either alone or in combination) was skin (38%), lung (36%), liver (20%), and brain (20%). The skin, subcutaneous and distant lymph node group was the first site of metastases in 59% of patients. This finding emphasizes the importance of careful physical exams in routine metastatic evaluations. Only a minority (25%) of stage I patients progressed to stage III disease after a median interval of 2.8 years. In contrast, the majority (75%) of melanoma patients with nodal metastases (stage II) progressed to stage III disease after a median duration of only 11 mo. Of the patients who eventually developed stage III disease, 95% of those who initially presented with stage II disease progressed within 3 yr, while stage I patients who progressed to stage III did not reach a 95% cumulative incidence until 8 yr.

Clinical significance of circulating tumor cells (CTCs) in hormone receptor-positive (HR+) metastatic breast cancer (MBC) patients (pts) receiving letrozole (Let) or Let plus bevacizumab (Bev): CALGB 40503 (Alliance).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1049-1049
Author(s):  
Mark Jesus Mendoza Magbanua ◽  
Oleksandr Oleksandr Savenkov ◽  
Erik Asmus ◽  
Karla V. Ballman ◽  
Janet H Scott ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Predictive Value ◽  
Cox Regression ◽  
Multivariable Analysis ◽  
Metastatic Breast ◽  
Progression Free Survival ◽  
First Line ◽  
Cox Regression Analysis ◽  
First Line Therapy ◽  
Study Results

1049 Background: CALGB 40503 randomized HR+ MBC postmenopausal pts to Let alone or Let+Bev as first-line therapy. Adding Bev to Let prolonged progression-free survival (PFS) but not overall survival (OS) (Dickler JCO 2016). We performed a correlative study to assess prognostic and predictive value of CTCs in this population. Methods: Blood was collected prior to initiation of treatment. CTCs were enumerated using US FDA-cleared CellSearch assay; samples with ≥5 CTCs per 7.5 mLs of blood were considered CTC-positive (CTC+). Correlation of CTCs with PFS and OS was assessed using Cox regression analysis. Median follow-up was 39 months (mo). Results: Of 343 pts treated, 294 had CTC data and were included in this analysis. Original study results that showed improved PFS (HR = 0.75; 95% CI: 0.59-0.96) but not OS (HR = 0.87; 95% CI: 0.65-1.18) in pts receiving Let+Bev compared to Let were recapitulated in this subset. In multivariable analysis, CTC+ pts (31%) had significantly reduced PFS (HR = 1.49; 95% CI: 1.12-1.97) and OS (HR = 2.08; 95% CI: 1.49-2.93) compared to CTC- pts. Moreover, CTC+ pts who did not receive Bev had worse PFS (HR = 2.31; 95% CI: 1.54-3.47) and OS (HR = 2.64; 95% CI: 1.59-4.40) (Table). CTC+ pts who received Bev had numerically longer median PFS (18.0 vs. 7.0 mo) and OS (33.6 vs. 27.1 mo) compared to CTC+ pts with no Bev; however, tests for interaction between CTC status and Bev (yes vs. no) were not statistically significant for PFS (p=0.70) or OS (p=0.84). Conclusions: CTCs were highly prognostic in this study involving addition of Bev to first-line Let in postmenopausal HR+ MBC. Further research to determine the potential predictive value of CTCs in the setting of both metastatic disease and early breast cancer is warranted. Support: U10CA180821, U10CA180882; Genentech; https://acknowledgments.alliancefound.org ; NCT00601900. Survival in HR+ MBC pts receiving Let or Let+Bev stratified by CTC status. Clinical trial information: NCT00601900. [Table: see text]

Identification of biomarkers and functional modules from genomic data in stage-wise breast cancer

2020 ◽  
Vol 15 ◽  
Author(s):  
Athira K ◽  
Vrinda C ◽  
Sunil Kumar P V ◽  
Gopakumar G
Keyword(s):  
Breast Cancer ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Predictive Biomarkers ◽  
Stage I ◽  
Stage Ii ◽  
Stage Iii ◽  
Functional Modules ◽  
Incidence And Mortality ◽  
Multiple Stages

Background: Breast cancer is the most common cancer in women across the world, with high incidence and mortality rates. Being a heterogeneous disease, gene expression profiling based analysis plays a significant role in understanding breast cancer. Since expression patterns of patients belonging to the same stage of breast cancer vary considerably, an integrated stage-wise analysis involving multiple samples is expected to give more comprehensive results and understanding of breast cancer. Objective: The objective of this study is to detect functionally significant modules from gene co-expression network of cancerous tissues and to extract prognostic genes related to multiple stages of breast cancer. Methods: To achieve this, a multiplex framework is modelled to map the multiple stages of breast cancer, which is followed by a modularity optimization method to identify functional modules from it. These functional modules are found to enrich many Gene Ontology terms significantly that are associated with cancer. Result and Discussion: predictive biomarkers are identified based on differential expression analysis of multiple stages of breast cancer. Conclusion: Our analysis identified 13 stage-I specific genes, 12 stage-II specific genes, and 42 stage-III specific genes that are significantly regulated and could be promising targets of breast cancer therapy. That apart, we could identify 29, 18 and 26 lncRNAs specific to stage I, stage II and stage III respectively.

Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Poor Prognostic Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

scholarly journals Identification and development of an independent immune-related genes prognostic model for breast cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lin Chen ◽  
Yuxiang Dong ◽  
Yitong Pan ◽  
Yuhan Zhang ◽  
Ping Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Validation Dataset ◽  
Immune Gene ◽  
Cox Regression Analysis ◽  
Immune Genes ◽  
Immune Related Genes

Abstract Background Breast cancer is one of the main malignant tumors that threaten the lives of women, which has received more and more clinical attention worldwide. There are increasing evidences showing that the immune micro-environment of breast cancer (BC) seriously affects the clinical outcome. This study aims to explore the role of tumor immune genes in the prognosis of BC patients and construct an immune-related genes prognostic index. Methods The list of 2498 immune genes was obtained from ImmPort database. In addition, gene expression data and clinical characteristics data of BC patients were also obtained from the TCGA database. The prognostic correlation of the differential genes was analyzed through Survival package. Cox regression analysis was performed to analyze the prognostic effect of immune genes. According to the regression coefficients of prognostic immune genes in regression analysis, an immune risk scores model was established. Gene set enrichment analysis (GSEA) was performed to probe the biological correlation of immune gene scores. P < 0.05 was considered to be statistically significant. Results In total, 556 immune genes were differentially expressed between normal tissues and BC tissues (p < 0. 05). According to the univariate cox regression analysis, a total of 66 immune genes were statistically significant for survival risk, of which 30 were associated with overall survival (P < 0.05). Finally, a 15 immune genes risk scores model was established. All patients were divided into high- and low-groups. KM survival analysis revealed that high immune risk scores represented worse survival (p < 0.001). ROC curve indicated that the immune genes risk scores model had a good reliability in predicting prognosis (5-year OS, AUC = 0.752). The established risk model showed splendid AUC value in the validation dataset (3-year over survival (OS) AUC = 0.685, 5-year OS AUC = 0.717, P = 0.00048). Moreover, the immune risk signature was proved to be an independent prognostic factor for BC patients. Finally, it was found that 15 immune genes and risk scores had significant clinical correlations, and were involved in a variety of carcinogenic pathways. Conclusion In conclusion, our study provides a new perspective for the expression of immune genes in BC. The constructed model has potential value for the prognostic prediction of BC patients and may provide some references for the clinical precision immunotherapy of patients.

scholarly journals CXCR6-CXCL16 Axis Promotes Breast Cancer by Inducing Oncogenic Signaling

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3568
Author(s):  
Hina Mir ◽  
Neeraj Kapur ◽  
Dominique N. Gales ◽  
Praveen K. Sharma ◽  
Gabriela Oprea-Ilies ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Actin Polymerization ◽  
Biological Significance ◽  
Stage Ii ◽  
Stage Iii ◽  
Soluble Form ◽  
Migration And Invasion ◽  
Antibody Microarray ◽  
Terminal Fragment ◽  
Significant Difference

Precise mechanisms underlying breast cancer (BrCa) metastasis are undefined, which becomes a challenge for effective treatments. Chemokine signaling instigates the trafficking of cancer cells in addition to leukocytes. This study aimed to ascertain the clinical and biological significance of the CXCR6/CXCL16 signaling axis in the pathobiology of BrCa. Our data show a higher expression of CXCR6 in BrCa cell lines and tissues. Stage-III BrCa tissues express significantly higher CXCR6 compared to stage-II tissues. The ligand, CXCL16, could remain tethered to the cell surface, and, after proteolytic shedding of the ectodomain, the N-terminal fragment is released, converting it to its oncogenic, soluble form. Like CXCR6, N-terminal CXCL16 and ADAM-10 were significantly higher in stage-III than stage-II, but no significant difference was observed in the C-terminal fragment of CXCL16. Further, stimulation of the CXCR6/CXCL16 axis activated Src, FAK, ERK1/2, and PI3K signaling pathways, as per antibody microarray analysis, which also underlie CXCL16-induced F-actin polymerization. The CXCR6/CXCL16 axis induces cytoskeleton rearrangement facilitating migration and invasion and supports BrCa cell survival by activating the PI3K/Akt pathway. This study highlights the significance of the CXCR6/CXCL16 axis and ADAM10 as potential therapeutic targets for advanced-stage BrCa.

scholarly journals The Investigation of Associations between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344, EGFR rs2227983 Polymorphisms and Breast Cancer Phenotype and Prognosis

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1419
Author(s):  
Justina Bekampytė ◽  
Agnė Bartnykaitė ◽  
Aistė Savukaitytė ◽  
Rasa Ugenskienė ◽  
Erika Korobeinikova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Cancer Prognosis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cox Regression Analysis ◽  
Pcr Rflp ◽  
Oncological Diseases ◽  
Cancer Phenotype

Breast cancer is one of the most common oncological diseases among women worldwide. Cell cycle and apoptosis—related genes TP53, BBC3, CCND1 and EGFR play an important role in the pathogenesis of breast cancer. However, the roles of single nucleotide polymorphisms (SNPs) in these genes have not been fully defined. Therefore, this study aimed to analyze the association between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344 and EGFR rs2227983 polymorphisms and breast cancer phenotype and prognosis. For the purpose of the analysis, 171 Lithuanian women were enrolled. Genomic DNA was extracted from peripheral blood; PCR-RFLP was used for SNPs analysis. The results showed that BBC3 rs2032809 was associated with age at the time of diagnosis, disease progression, metastasis and death. CCND1 rs9344 was associated with tumor size, however an association resulted in loss of significance after Bonferroni correction. In survival analysis, significant associations were observed between BBC3 rs2032809 and OS, PFS and MFS. EGFR rs2227983 also showed some associations with OS and PFS (univariate Cox regression analysis). However, the results were in loss of significance (multivariate Cox regression analysis). In conclusion, BBC3 rs2032809 polymorphism was associated with breast cancer phenotype and prognosis. Therefore, it could be applied as potential markers for breast cancer prognosis.

Differing from diseased stage in melanoma, the olfactory receptor gene OR56A4 is expressed

2021 ◽  
Author(s):  
Bronte Morse ◽  
Kobi Decker
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Olfactory Receptor ◽  
Receptor Gene ◽  
Stage I ◽  
Stage Ii ◽  
Stage Iii ◽  
Olfactory Receptor Gene ◽  
Breast Cancer Patients ◽  
Receptor Family

We have compared the global profiles of 100 tumors in Stage I, II and III with two independently releasedmicroarray datasets in order to understand their transcriptional behaviors accompanying a progression in breastcancer (1, 2). The olfactive receptor, family 56, subfamily A, member 4 OR56A4, was discovered to have beenone of the genes with the most varied expression when comparing initial tumors in stage I, stage II, and stageIII of breast cancer patients. In the stage III tumors, OR56A4 expression in comparison to the stage I tumorswas lower.

Sign in / Sign up

Export Citation Format

Share Document