Survival in the real world: A national analysis of patients treated for early-stage breast cancer.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 75-75
Author(s):  
Jeffrey Franks ◽  
Risha Gidwani ◽  
Ene Mercy Enogela ◽  
Nicole E. Caston ◽  
Courtney Williams ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Real World ◽  
Early Stage ◽  
Individual Treatment ◽  
Cancer Stage ◽  
The Real ◽  
Race Ethnicity ◽  
National Analysis ◽  
Concurrent Cancer

75 Background: Many patient population groups are not proportionally represented in clinical trials, including patients of color, at age extremes, or with comorbidities. It is unclear how treatment outcomes may differ for these patients compared to those well represented in trials. Methods: This retrospective cohort study included women diagnosed with early-stage (I-III) breast cancer (EBC) between 2005-2015 in the CancerLinQ Discovery electronic medical record-based dataset. Patients with comorbidities or concurrent cancer were considered unrepresented in clinical trials. Non-White patients and/or those aged <45 or ≥70 years were considered underrepresented. Patients who were White and aged 45-69 were considered well represented. Overall and EBC subtype-stratified Cox proportional hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) for five-year mortality by representation group. The overall model was adjusted for cancer stage, subtype, chemotherapy intensity, and year of EBC diagnosis. Stratified models were adjusted for cancer stage, individual treatment regimen (due to lack of chemotherapy intensity variation within subtype), and year of EBC diagnosis. Results: Of 11,770 patients, most were aged 45-69 (71%), White (72%), diagnosed with stage II (51%), or HR+HER2- EBC (56%). Unrepresented patients (7%) were categorized due to comorbidities (76%), concurrent cancer (22%), or both (2%). Underrepresented patients (45%) were categorized based on age (44%), race/ethnicity (39%), or both (17%). The remaining patients were well represented in trials (48%). In adjusted models, unrepresented patients had almost three times the hazard of death than well-represented patients (HR 2.71, 95% CI 2.08-3.52; Table). The hazard of death for underrepresented versus well-represented patients was similar (HR 1.19, 95% CI 0.98-1.45). Comparable results were seen in EBC subtype-specific models. Conclusions: Over half of patients in this study would be considered underrepresented or unrepresented in clinical trials due to age, comorbidity, or race/ethnicity. Patients considered unrepresented in trials experienced poorer survival compared to those well-represented. Trialists should ensure study participants reflect the real-world disease population to support evidence-based decision making for all individuals with cancer.[Table: see text]

Clinical trial representativeness and treatment intensity in a real-world sample of women with early-stage breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6584-6584
Author(s):  
Nicole E. Caston ◽  
Courtney Williams ◽  
Jeffrey Franks ◽  
Monica S. Aswani ◽  
Andres Azuero ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Real World ◽  
High Intensity ◽  
Early Stage ◽  
Early Stage Breast Cancer ◽  
Treatment Intensity ◽  
Evidence Based ◽  
Race Ethnicity

6584 Background: Early stage breast cancer (EBC) treatment is used in women of all ages, races, and health states. However, as clinical trials often do not represent real-world populations, the extent to which evidence-based treatments are prescribed to populations not well represented in these trials is not known. This study evaluated treatment intensity for patients traditionally well represented, underrepresented, and unrepresented in clinical trials. Methods: This retrospective cohort study used the nationwide de-identified electronic health record derived Flatiron Health database for patients diagnosed with EBC between 2011-2020. We categorized treatments as either high- (AC-TH [doxorubicin, cyclophosphamide followed by paclitaxel or docetaxel, trastuzumab]; ACT [paclitaxel or docetaxel, doxorubicin, cyclophosphamide]; TCH [paclitaxel or docetaxel, carboplatin, trastuzumab]; TCHP [paclitaxel or docetaxel, carboplatin, trastuzumab, pertuzumab]) or low-intensity (AC [doxorubicin, cyclophosphamide]; TC [paclitaxel or docetaxel, cyclophosphamide]; TH [paclitaxel or docetaxel, trastuzumab]). Unrepresented patients often have one or more comorbidities and/or prior cancer; underrepresented patients are typically Black, Indigenous, people of color, or of age extremes ( < 45, 70+); well represented patients are White and between the ages of 45-69. Odds ratios (OR), predicted proportions, and 95% confidence intervals (CI) from a two-level (patients nested in practice) hierarchical logistic regression model evaluated associations between receipt of high-intensity chemotherapy and patient characteristics of clinical trial representation (age, race/ethnicity, presence of comorbidity). Results: Our study included 970 patients with EBC with 13%, 45%, and 41% characterized as unrepresented, underrepresented, and well represented in clinical trials, respectively. In the adjusted model, those aged ≥ 70 vs 45-69 had lower odds of receiving a high-intensity treatment (OR 0.40, 95% CI 0.26-0.60), while those aged < 45 vs 45-69 had higher odds of receiving high-intensity treatment (OR 1.82, 95% CI 1.10-3.01). The predicted proportion of patients receiving a high-intensity treatment was 87% (95% CI: 80%-92%) for patients aged < 45, 79% (95% CI: 74%-84%) for patients aged 45-69, and 60% (95% CI: 50%-70%) for patients aged ≥ 70. Neither race/ethnicity nor comorbidity status were associated with odds of receiving high-intensity chemotherapy. Conclusions: Over half of the EBC population is not well represented in clinical trials. Age was associated with differential treatment intensity, despite a lack of evidence that these differences are appropriate. Widening clinical trial eligibility criteria is one way to better understand survival outcomes, identify potential toxicities, and ultimately make evidence-based treatment decisions using a more diverse sample.

scholarly journals Survival in the Real World: A National Analysis of Patients Treated for Early-Stage Breast Cancer

2021 ◽  
pp. OP.21.00274
Author(s):  
Risha Gidwani ◽  
Jeffrey A. Franks ◽  
Ene M. Enogela ◽  
Nicole E. Caston ◽  
Courtney P. Williams ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Proportional Hazards ◽  
Early Stage ◽  
Patient Characteristics ◽  
Cox Proportional Hazards ◽  
Data Set ◽  
Cox Proportional Hazards Models ◽  
National Analysis ◽  
Study Participants

PURPOSE: Many patient population groups are not proportionally represented in clinical trials, including patients of color, at age extremes, or with comorbidities. It is therefore unclear how treatment outcomes may differ for these patients compared with those who are well-represented in trials. METHODS: This retrospective cohort study included women diagnosed with stage I-III breast cancer between 2005 and 2015 in the national CancerLinQ Discovery electronic medical record–based data set. Patients with comorbidities or concurrent cancer were considered unrepresented in clinical trials. Non-White patients and/or those age < 45 or ≥ 70 years were considered under-represented. Patients who were White, age 45-69 years, and without comorbidities were considered well-represented. Cox proportional hazards models were used to evaluate 5-year mortality by representation group and patient characteristics, adjusting for cancer stage, subtype, chemotherapy, and diagnosis year. RESULTS: Of 11,770 included patients, 48% were considered well-represented in trials, 45% under-represented, and 7% unrepresented. Compared with well-represented patients, unrepresented patients had almost three times the hazard of 5-year mortality (adjusted hazard ratio [aHR], 2.71; 95% CI, 2.08 to 3.52). There were no significant differences in the hazard of 5-year mortality for under-represented patients compared with well-represented patients (aHR, 1.19; 95% CI, 0.98 to 1.45). However, among under-represented patients, those age < 45 years had a lower hazard of 5-year mortality (aHR, 0.63; 95% CI, 0.48 to 0.84) and those age ≥ 70 years had a higher hazard of 5-year mortality (aHR, 2.21; 95% CI, 1.76 to 2.77) compared with those age 45-69 years. CONCLUSION: More than half of the patients were under-represented or unrepresented in clinical trials, because of age, comorbidity, or race. Some of these groups experienced poorer survival compared with those well-represented in trials. Trialists should ensure that study participants reflect the disease population to support evidence-based decision making for all individuals with cancer.

scholarly journals Challenges and Opportunities for Real-World Evidence in Metastatic Luminal Breast Cancer

Breast Care ◽  
2021 ◽  
pp. 1-7
Author(s):  
Diana Lüftner ◽  
Andreas D. Hartkopf ◽  
Michael P. Lux ◽  
Friedrich Overkamp ◽  
Hans Tesch ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Metastatic Breast Cancer ◽  
Real World ◽  
Real Life ◽  
Metastatic Breast ◽  
Molecular Structures ◽  
Luminal Breast Cancer ◽  
The Real

Background: The therapeutic armamentarium for patients with metastatic breast cancer is becoming more and more specific. Recommendations from clinical trials are not available for all treatment situations and patient subgroups, and it is therefore important to collect real-world data. Summary: To develop recommendations for up-to-date treatments and participation in clinical trials for patients with metastatic breast cancer, the Prospective Academic Translational Research PRAEGNANT Network was established to optimize the quality of oncological care in the advanced therapeutic setting. The main aim of PRAEGNANT is to systematically record medical care for patients with metastatic breast cancer in the real-life setting, including the outcome and side effects of different treatment strategies, to monitor quality-of-life changes during therapy, to identify patients eligible for participation in clinical studies, and to allow targeted therapies based on the molecular structures of breast carcinomas. Key Messages: This article describes the PRAEGNANT network and sheds light on the question of whether the various end points from clinical trials can be transferred to the real-world treatment situation.

scholarly journals Real-world effectiveness of post-trastuzumab emtansine treatment in patients with HER2-positive, unresectable and/or metastatic breast cancer: a retrospective observational study (KBCSG-TR 1917)

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Takahiro Nakayama ◽  
Tetsuhiro Yoshinami ◽  
Hiroyuki Yasojima ◽  
Nobuyoshi Kittaka ◽  
Masato Takahashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Observational Study ◽  
Real World ◽  
Metastatic Breast ◽  
Trastuzumab Emtansine ◽  
Her2 Positive ◽  
The Real ◽  
Her2 Positive Breast Cancer ◽  
Positive Breast Cancer

Abstract Background Trastuzumab emtansine (T-DM1) is a second-line standard therapy for patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer. Evidence regarding post–T-DM1 treatments is currently lacking. We evaluated the effectiveness of post–T-DM1 drug therapy in patients with HER2-positive, unresectable and/or metastatic breast cancer. Methods In this multicenter, retrospective, observational study, real-world clinical data of female patients with HER2-positive breast cancer who had a history of T-DM1 treatment were consecutively collected from five sites in Japan. We investigated the effectiveness of post–T-DM1 therapy by evaluating the real-world progression-free survival (rwPFS), time to treatment failure (TTF), overall survival (OS), objective response rate (ORR), and clinical benefit rate (CBR). Tumor response was assessed by investigators according to Response Evaluation Criteria in Solid Tumors (RECIST version 1.1) guidelines. Subgroup and exploratory analyses according to background factors were also undertaken. Results Of the 205 patients who received T-DM1 treatment between 1 January 2014 and 31 December 2018, 128 were included in this study. Among the 128 patients analyzed, 105 (82%) patients received anti-HER2 therapy and 23 (18%) patients received regimens without anti-HER2 therapy. Median (95% confidence interval [CI]) rwPFS, TTF, and OS were 5.7 (4.8–6.9) months, 5.6 (4.6–6.4) months, and 22.8 (18.2–32.4) months, respectively. CBR and ORR (95% CI) were 48% (38.8–56.7) and 23% (15.1–31.4), respectively. Cox-regression analysis showed that an ECOG PS score of 0, a HER2 immunohistochemistry score of 3+, recurrent type, ≥12 month duration of T-DM1 therapy, and anti-HER2 therapy were independent variables for rwPFS. An exploratory subgroup analysis of regimens after T-DM1 showed that those with anti-HER2 therapy had a median rwPFS of 6.3 and those without anti-HER2 therapy had a median rwPFS of 4.8 months. Conclusions In the real-world setting in Japan, several post–T-DM1 regimens for patients with unresectable and/or metastatic HER2-positive breast cancer, including continuation of anti-HER2 therapy, showed some effectiveness; however, this effectiveness was insufficient. Novel therapeutic options are still needed for further improvement of PFS and OS in later treatment settings. Trial registration UMIN000038296; registered on 15 October 2019.

Real-World Evidence: A Comparison of the Australian Herceptin Program and Clinical Trials of Trastuzumab for HER2-Positive Metastatic Breast Cancer

2016 ◽  
Vol 34 (10) ◽  
pp. 1039-1050 ◽  
Author(s):  
Bonny Parkinson ◽  
Rosalie Viney ◽  
Marion Haas ◽  
Stephen Goodall ◽  
Preeyaporn Srasuebkul ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Metastatic Breast Cancer ◽  
Real World ◽  
Metastatic Breast ◽  
Her2 Positive ◽  
Real World Evidence

scholarly journals Valproic Acid-Like Compounds Enhance and Prolong the Radiotherapy Effect on Breast Cancer by Activating and Maintaining Anti-Tumor Immune Function

2021 ◽  
Vol 12 ◽  
Author(s):  
Zuchao Cai ◽  
David Lim ◽  
Guochao Liu ◽  
Chen Chen ◽  
Liya Jin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Valproic Acid ◽  
Tumor Recurrence ◽  
Early Stage ◽  
Low Cost ◽  
Inhibit Tumor Growth ◽  
Tnf Α ◽  
M1 Phenotype ◽  
Ifn Γ ◽  
Concurrent Cancer

Inadequate sustained immune activation and tumor recurrence are major limitations of radiotherapy (RT), sustained and targeted activation of the tumor microenvironment can overcome this obstacle. Here, by two models of a primary rat breast cancer and cell co-culture, we demonstrated that valproic acid (VPA) and its derivative (HPTA) are effective immune activators for RT to inhibit tumor growth by inducing myeloid-derived macrophages and polarizing them toward the M1 phenotype, thus elevate the expression of cytokines such as IL-12, IL-6, IFN-γ and TNF-α during the early stage of the combination treatment. Meanwhile, activated CD8+ T cells increased, angiogenesis of tumors is inhibited, and the vasculature becomes sparse. Furthermore, it was suggested that VPA/HPTA can enhance the effects of RT via macrophage-mediated and macrophage-CD8+ T cell-mediated anti-tumor immunity. The combination of VPA/HPTA and RT treatment slowed the growth of tumors and prolong the anti-tumor effect by continuously maintaining the activated immune response. These are promising findings for the development of new effective, low-cost concurrent cancer therapy.

Axillary Radiotherapy in Conservative Surgery for Early-Stage Breast Cancer (Stage I and II)

2016 ◽  
Vol 94 (6) ◽  
pp. 331-338
Author(s):  
Alejandra García Novoa ◽  
Benigno Acea Nebril ◽  
Inma Díaz ◽  
Sergio Builes Ramírez ◽  
Cristina Varela ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Stage ◽  
Conservative Surgery ◽  
Stage I ◽  
Early Stage Breast Cancer ◽  
Cancer Stage ◽  
Axillary Radiotherapy

scholarly journals SAT-418 Finding the Needles in the Haystack: Harnessing the Electronic Health Record to Find Thyroid Immune Related Adverse Events

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Zoe Quandt ◽  
Laura Trupin ◽  
Michael Evans ◽  
Gabriela Schmajuk ◽  
Mark Stuart Anderson ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Adverse Events ◽  
Electronic Health Record ◽  
Real World ◽  
Immune Checkpoint ◽  
Thyroid Disease ◽  
Thyroid Dysfunction ◽  
Health Record ◽  
The Real ◽  
New Onset

Abstract Background: Immune checkpoint inhibitors (CPIs) are being used to effectively treat a growing number of cancers but can cause immune related adverse events (irAE). Thyroid dysfunction is the most common endocrine irAE. A meta-analysis of clinical trials estimated that following CPI exposure, 6.6% will become hypothyroid and 2.9% will have hyperthyroidism1. It is unclear if this reflects the real-world incidence of these irAEs. We used electronic health record (EHR) data to identify patients who developed thyroid dysfunction after CPI to estimate the real-world incidence of these irAEs. Methods: Data were derived from the EHR of a large U.S. academic center. We identified subjects treated with CPIs between 2012 and 2018 and excluded those with thyroid cancer or pre-existing thyroid disease. Thyroid dysfunction was identified as either a TSH &gt; 10, an abnormal free T4 or a prescription for thyroid hormone replacement or anti-thyroid medication. Those with thyroid dysfunction were then categorized as having pre-existing disease or a new-onset thyroid irAE based on the timing of CPI initiation. Logistic regression was used to evaluate the association of thyroid irAE with age, gender, CPI and type of cancer. Results: In total, 1146 individuals without pre-existing thyroid disease that received CPIs were assessed. Pembrolizumab was the most common treatment (45%), followed by nivolumab (20%). Less than 10% of subjects received atezolizumab, durvalumab, ipilimumab monotherapy, combined ipilimumab/nivolumab, or other combinations of CPIs. Melanoma was the most common cancer treated (32%), followed by non-small cell lung cancer (13%). The prevalence of any other cancer was &lt; 10% each. Overall, 19% developed thyroid irAEs. After adjustment for gender and age, the type of cancer was significantly associated with new onset thyroid dysfunction (p=0.01). The rates of thyroid irAEs ranged from 10% in glioblastoma to 40% in renal cell cancer. Although there was no significant association between irAEs and specific CPIs in the overall analysis, thyroid irAEs were more common in subjects who received combined ipilimumab/ nivolumab (31%) compared to pembrolizumab (18%, p=0.03), nivolumab (18%, p&lt;0.01) and ipilimumab (15%, p=0.02). Conclusion: Thyroid irAEs are much more common in real world practice than in clinical trials and there is emerging evidence that certain cancer types incur a higher risk of thyroid irAEs even after adjustment for CPI exposure. Clinicians and patients should be educated about these risks. Future work should focus on exploring the reasons underlying the differing rates of thyroid irAEs among different cancers including effect on cancer outcomes. 1Barroso-Sousa et al. Incidence of Endocrine Dysfunction Following the Use of Different Immune Checkpoint Inhibitor Regimens. JAMA Oncol. 2017; 02215: 1–10.

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