Disparities in Mantle Cell Lymphoma Outcomes in Hispanics: A Population Based Analysis in Texas and Florida

Abstract Introduction: Mantle cell lymphoma (MCL) is a rare, aggressive type of B-cell non-Hodgkin lymphoma (NHL) that accounts for approximately 7% of adult NHL's in the United States. (JCO PMID: 9704731)Although recent advancements in treatment have improved survival, prognosis remains poor. (Blood PMID: 30154113) There have been several recent studies demonstrating ethnic disparities in MCL, however, there is a paucity of survival outcome data in Hispanic (H) patients with MCL. (CLMLPMID: 31029647) The purpose of this study was to compare the demographics, treatment patterns, and survival outcomes of H and Non-Hispanic (NH) patients diagnosed with MCL, and to contrast Hispanic cohorts between Texas (TX) and Florida (FL). Methods: This is a retrospective cohort study of patients diagnosed with lymphoma (Hodgkin and Non-Hodgkin) from the Texas Cancer Registry (TCR) and the Florida Cancer Data System (FCDS) from 2006-2017. This particular analysis focuses on patients with diagnosis of MCL. Key variables included gender, race, ethnicity, birthplace, dates of diagnosis and death, primary payer at diagnosis, poverty index, stage at diagnosis, and type of treatment. The significance of variation in distribution of categorical outcomes with ethnicity [H, NH] was assessed with Fisher's Exact tests or Pearson's Chi-square as appropriate; age was assessed with T-test or Wilcoxon. Survival time was measured in years from date of primary diagnosis to date of death. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. All statistical testing was two-sided with a significance level of 0.05. Results: We identified a total 4619 (2078 TX, 2541 FL) patients with MCL. 669 (15%) were H and 3950 (85%) were NH. In TX, the median age of diagnosis was 65.6 years (y) in H and 68.3 y in NH (p < 0.001). In FL, the median age of diagnosis was 67.56 in H and 70.06 in NH (p < 0.001). There was a statistically significant difference in poverty index between the cohorts in both TX and FL. The majority of H (50%) in TX were in the 20-100% bracket while the majority of NH (36%) in TX were in the 10-19.9% bracket (p < 0.001). The majority of H (39%) in FL were in the 10-19.9% bracket, and the majority of NH (35%) were also in the 10-19.9% bracket (p < 0.001). Interestingly, there were only 30% of H in FL in the 20-100% bracket. There was a statistically significant difference in insurance status with the most frequent insurance being government-sponsored insurance for H in TX (48%), NH in TX (58%), H in FL (48%), and NH in FL (62%). Patients were without insurance at time of diagnosis in 14% of H in TX and 9% of H in FL, in contrast to 4% of NH in TX and 2% NH in FL. The most common stage at diagnosis in both cohorts in TX and FL was Stage III/IV with 68% H in TX vs 65% NH in TX (p = 0.746) and 69% H in FL vs 67% NH in FL (p = 0.316). The most frequent chemotherapy regimen included multiple agents for all cohorts, 43% H in TX vs 37% NH in TX (p = 0.063), and 48% H in FL vs 42% NH in FL (p = 0.695). Median survival time was 3.4 y H in TX, 3.5 y NH in TX, 4.1 y H in FL, and 4.3 y NH in FL. The survival probability at 2 years was 0.636, 0.640, 0.707, 0.675 for H in TX, NH in TX, H in FL, and NH in FL, respectively. The survival probability at 5 years was 0.371, 0.379, 0.445, 0.459 for H in TX, NH in TX, H in FL, and NH in FL, respectively. The survival probability at 10 years was 0.147, 0.118, 0.276, 0.245 for H in TX, NH in TX, H in FL, and NH in FL, respectively. There was no statistically significant difference in survival probability at 2, 5, or 10 years between H and NH in TX (p = 0.68) and FL (p = 0.72). Conclusions: Our study of patients diagnosed with MCL demonstrated statistically significant differences between H and NH patients in median age of diagnosis, poverty index, and insurance status at diagnosis. These disparities were observed in patients between the cancer registries in both states. Although there were no statistically significant differences in median survival time or survival probability at 2, 5, and 10 years among the H cohorts within each state, we observed intriguing data when the two states were compared. Strikingly, H in TX had much lower survival probability at 2, 5, and 10 years compared to H in FL. In addition, H in TX were noted to have a shorter median survival time compared to H in FL. These disparities may be a direct reflection of the significantly higher rates of poverty and lack of insurance among H in TX compared to H in FL. Figure 1 Figure 1. Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Astra Zeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Epizyme: Research Funding.

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Understanding Oncological Disparities in Mycosis Fungoides within Hispanic Enriched Communities

Blood ◽

10.1182/blood-2021-151891 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 5016-5016

Author(s):

Rodolfo Garza-Morales ◽

Carolina Velez-Mejia ◽

Qianqian Liu ◽

Joel E Michalek ◽

Adolfo Enrique Diaz Duque

Keyword(s):

Survival Time ◽

Mycosis Fungoides ◽

Survival Probability ◽

Research Funding ◽

Private Insurance ◽

Statistical Testing ◽

Insurance Status ◽

Poverty Index ◽

Significant Difference ◽

Age Of Diagnosis

Abstract Introduction Cutaneous T cell lymphomas (CTCLs) are a heterogeneous group of extra-nodal non-Hodgkin's lymphomas that are characterized by a cutaneous infiltration of malignant monoclonal T lymphocytes (F1000Res. PMID 27540476). Among them, Mycosis Fungoides (MF) is the most predominant subtype, accounting for 50-65% of cases (An Bras Dermatol. PMID 30066762). Although most patients with MF are Non-Hispanic (NH), from the 1970s to 2010s there has been an increase in the percentage of HI patients (4% to 11%, respectively) (J Eur Acad Dermatol Venereol. PMID 32141115). Racial disparities in MF have been studied, but they are still poorly understood in Hispanic (HI) populations and further studies are needed to evaluate the role of ethnicity in MF outcomes. In this study, we focused on two communities, Texas (TX) and Florida (FL), which have a strong HI representation. According to the U.S 2020 Census, 39% of the population of TX and 26% of the population of FL are HI. Therefore, the purpose of this study is to compare demographics, treatment patterns, and survival outcomes of HI and NH patients diagnosed with MF, and to contrast HI cohorts between TX and FL. Methods This is a retrospective analysis of patients diagnosed and recorded in the Texas Cancer Registry and the Florida Cancer Data System from years (y) 2006-2017. Inclusion criteria was histopathologic proven MF. Patients were divided into HI and NH for comparison. Standard demographic, socioeconomic, clinical, and survival variables were reviewed. All statistical testing was determined using Fisher's Exact test, Pearson's Chi-square test, T-test or Wilcoxon test, as appropriate. Survival time was measured using the day of diagnosis to last date of follow up or death. Survival distribution were calculated based on Kaplan-Meier curves. All statistical testing was two-sided with a significance level of 5%. Results We identified a total 2566 (1373 TX, 1193 FL) patients with MF. 319 (12%) were HI and 2247 (88%) were NH. The median age of diagnosis in our TX population was 50 y in HI and 59 y in NH (p < 0.001). In FL, the median age of diagnosis was 57 y in HI and 65 y in NH (p <0.001). There was a statistically significant difference in poverty index between HI and NH in both TX and FL. The majority of HI (42%) in TX were in the 20-100% bracket while the majority of NH (28%) in TX were in the 10-19.9% bracket (p<0.001). In contrast, the majority of HI (36%) in FL were in the 10-19.9% bracket while the majority of NH (34%) in FL were also in the 10-19.9% bracket (p<0.001). In patient where insurance status was known, there was a statistically significant difference in insurance status with the most frequent insurance being private insurance for HI in TX (28%) and NH in TX (24%) (p<0.001). In FL, HI (39%) had private insurance whereas NH (30%) had government-sponsored insurance (p<0.001). The most common stage at diagnosis in both cohorts in TX and FL was Stage I with 56% HI in TX vs 56% NH in TX (p=0.526) and 54% HI in FL vs 44% NH in FL (p=0.052). In both cohorts, majority of HI (71%) in TX, and NH (72%) in TX (p=0.38), HI (73%) in FL and NH (81%) (p=0.156) did not undergo chemotherapy. In TX, median survival (MS) was 10.8 y for HI, and 9.7y for NH; whereas in FL, MS was not reached for HI, and for NH was 8.3y. The survival probability at 2 y was 0.921, 0.904, 0.875, 0.836 for HI in TX, NH in TX, HI in FL, and NH in FL, respectively. The survival probability at 5 y was 0.819, 0.775, 0.728, 0.665 for HI in TX, NH in TX, HI in FL, and NH in FL, respectively. The survival probability at 10 y was 0.714, 0.440, 0.512, 0.451 for HI in TX, NH in TX, HI in FL, and NH in FL, respectively. There was no statistically significant difference in overall survival (OS) probability between HI and NH in TX (p = 0.079) and FL (p = 0.28). Conclusions In this study, we evaluated ethnic disparities in MF, we chose to study TX and FL, two states that have a strong HI representation. In both populations, we found a statistically significant difference between HI and NH in poverty index and insurance status. Although there were no statistically significant differences in median survival time or survival probability at 2, 5, and 10 y among the HI and NH cohorts within each state, we observed that NH and HI in FL had a lower survival probability at 2, 5, and 10 y when compared to NH and HI in TX. Moreover, NH in TX had a much lower OS probability when compared to HI. These disparities may be a direct reflection of the significantly higher rates of poverty among HI in FL compared to HI in TX. Figure 1 Figure 1. Disclosures Diaz Duque: Incyte: Consultancy; Morphosys: Speakers Bureau; Astra Zeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Epizyme: Consultancy; ADCT: Consultancy.

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Demographic Differences in the Treatment and Mortality of Lymphoplasmacytic Lymphoma in Texas: Does Ethnicity Play Any Role?

Blood ◽

10.1182/blood-2020-138604 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 17-20

Author(s):

Michael E Auster ◽

Snegha Ananth ◽

Lakene Raissa Djoufack Djoumessi ◽

Qianqian Liu ◽

Joel E Michalek ◽

...

Keyword(s):

Survival Time ◽

Median Survival ◽

Survival Probability ◽

Research Funding ◽

Statistical Testing ◽

P Value ◽

Hispanic Paradox ◽

Lymphoplasmacytic Lymphoma ◽

Poverty Index ◽

Significant Difference

BACKGROUND: Social determinants and demographics exert an overwhelming influence on the health of the individual and overall population health (J Am Geriatr Soc. PMID: 28369694).The Hispanic paradox has been well characterized, demonstrating that although Hispanic patients (HisP) have higher disability, depressive, metabolic, and inflammatory risk when compared to non-Hispanic (nHisP), they continue to live long lives (J Health Soc Behav. PMID: 31771347). The characterization of these differences in hematology has not been well documented. This study seeks to characterize Lymphoplasmacytic lymphoma (LPL). LPL is a rare lymphoma of B-cell origin demonstrating an incidence of 1000 to 1500 new cases per year in the United States (Hematol Oncol Clin North Am, PMID: 31229160). Epidemiological research is not well documented in this lymphoma subtype, especially regarding the HisP. Given that Texas has the second highest state with HisP in the country (US Census Bureau), we studied the demographics of this disease and specifically researched the demographics, treatment patterns and survival between HisP and nHisP in Texas. METHODS: This is a retrospective study of a cohort of patients diagnosed with lymphoma (Hodgkin and Non-Hodgkin) from the Texas Cancer Registry (TCR) database. Patient's included were those >18 years of age during 2006-2016 and this study focused on the LPL subset. Standard demographic variables collected include gender, race, ethnicity, birthplace, occupation, dates at diagnosis and death, primary payer at diagnosis, subtype of lymphoma, stage, type of treatment, poverty index, and vitality status among others. The significance of variation in the distribution of categorical outcomes with ethnicity (HisP, nHisP) was assessed with Fisher's Exact tests or Pearson's Chi-square tests as appropriate; age was assessed with T-tests or Wilcoxon tests as appropriate. Survival time was measured in years from date of primary diagnosis to date of death. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. All statistical testing was two-sided with a significance level of 5%. RESULTS AND DISCUSSION: Out of 490 patients diagnosed with LPL, 64 were HisP and 426 nHisP. Of this population, the HisP had a higher percentage of patients at the higher end of the poverty index (42.4% to 20% with p value <0.001) and higher rates of being uninsured or on Medicare (51.6 to 43.4% with p value <0.001). There were no statistically significant differences in the staging at the time of diagnosis between the two groups, mostly III/IV (HisP 65.6% to nHisP 62% P value 0.387). Treatment modalities differed slightly in that the nHisP populations were more likely to receive beam radiation than the HisP (3.4% to 0, P value 0.005) but overall chemotherapy differences were not statistically significant. The median survival time in years for HisP and nHisP was 6.8 and 7.6 respectively, and the overall survival probability was not significantly different with a P value of 0.59. The survival probabilities at 2, 5 and 10 years between HisP and nHisP were respectively, 0.657 with Confidence interval (CI)[0.545,0.792], 0.573 CI [0.455,0.722], 0.448 CI [0.32,0.627], compared to 0.766 CI [0.723,0.811], 0.620 CI [0.566,0.68], 0.129 CI [0.042,0.389]. CONCLUSION: In this study we show that in Texas, for those diagnosed with LPL, there is a statistically significant difference in the rates of poverty and insurance when comparing Hisp to nHisP. While this is true, there is no clear statistically significant difference in overall treatment or survival probability, which is consistent with the Hispanic paradox. Due to the rarity of this disease, the population size is limited which may skew the data. More research is needed in order to further characterize the differences between these two populations and determine what can be done to narrow these differences. Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Molecular Templates: Research Funding; AstraZeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Seattle Genetics: Speakers Bureau; Verastem: Speakers Bureau; AbbVie: Speakers Bureau.

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Population Based Analysis of Mantle Cell Lymphoma in Texas: Are Outcomes Any Different in Hispanics?

Blood ◽

10.1182/blood-2020-137737 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 18-19

Author(s):

Michael M. Song ◽

Abhishek Pandya ◽

K Tai Lucero ◽

James J Yoo ◽

Joel E Michalek ◽

...

Keyword(s):

Mantle Cell Lymphoma ◽

Combination Chemotherapy ◽

Survival Probability ◽

Research Funding ◽

Cell Lymphoma ◽

Poverty Index ◽

Recommended Treatment ◽

Significant Difference ◽

Mantle Cell ◽

Stage 1

Introduction: Mantle cell lymphoma (MCL) is a rare type of incurable B-cell lymphoma with an incidence rate of ~0.8/100,000 in the United States (US) (Blood, PMID: 30154113; CA Cancer J Clin, PMID: 27618563). Recent advances in understanding of MCL biology, development of new therapeutic modalities such as Bruton tyrosine kinsase inhibitors (BTKi), and advancement of treatment strategy incorporating chemotherapy and non-chemotherapy treatment modalities have improved survival (Am J Hematol, PMID: 30963600; Blood, PMID: 26059948; Blood, PMID: 28899853). However, prognosis for MCL remains poor overall (Blood, PMID: 30154113). Although variations in incidence in MCL by race has been reported in the literature (CA Cancer J Clin, PMID: 27618563), there is currently limited data available on differences in demographics, treatment patterns, and outcomes in Hispanic (H) MCL patients. Methods: In this retrospective cohort study, de-identified data was obtained from the Texas Cancer Registry (TCR) database for those diagnosed with MCL between 2006-2016. Standard demographic variables collected include gender, race, ethnicity, birthplace, dates at diagnosis and death, primary payer at diagnosis, stage, type of treatment, poverty index, and vitality status among others. The significance of variation in the distribution of outcomes with ethnicity [H, non-Hispanic (NH)] was assessed with Fisher's Exact test, Pearson's Chi-square test, T-test, or Wilcoxon test as appropriate. Survival time was measured in years from date of primary diagnosis to date of death. Patients not coded as dead were considered censored on survival time at the date last seen. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. All statistical testing was two-sided with a significance level of 0.05. Results: A total of 1852 (296 H, 1556 NH) patients were included in the final analysis. Median age at diagnosis were 65.5 (H) and 68.0 (NH). 72.6% of H and 72.7% of NH cohorts were male. Of the NH cohort, 92.5% were White, 5.3% Black, 1.5% Asian, 0.4% Native American and 0.1% with unknown race. There was a statistically significant difference between the cohorts in the poverty index. Most H (50.5%) were in the 20-100% bracket, while the majority of NH (36.2%) were in the 10-19.9%. The majority of the cohort were from metro areas (90.2% H and 82.6% NH) and non-border counties (72.6% H and 97.2% NH). There was a statistically significant difference in insurance status at diagnosis between the cohorts. Medicare was the most common type for both H (41.1%) and NH (50.2%), while 13.4% of H and 4.0% of NH were uninsured. The majority of H (66.2%) and NH (64.0%) were diagnosed with stages 3-4 MCL; for H, stage 1 10.5%, stage 2 6.1%, stages 3-4 66.2%; for NH, stage 1 10.4%, stage 2 6.6%, stages 3-4 64.0%. The most common treatment received was combination chemotherapy (43.2% H, 38.8% NH); for H, combination chemotherapy (CC) 43.2%, single agent chemotherapy (SAC) 7.4%, chemotherapy not otherwise specified (CNOS) 14.5%, died prior to recommended treatment (PRI) 1%, refused recommended treatment (REF) 0.7%, treatment recommended but not given (NG) 0.3%, treatment contraindicated (CI) 0.7%, no treatment (NT) 18.6% and unknown treatment status (UTS) 13.5%; for NH, CC 38.8%, SAC 10.5%, CNOS 14.5%, PRI 0.2%, REF 1.3%, NG 0.3%, CI 0.8%, NT 23.0% and UTS 10.4%. Regarding BMT/stem cell infusion, 3.1% H and 3.6 NH were confirmed to have received it; 2.5% H and 2.1% NH were confirmed to have received treatment involving radiation. Median survival was 3.7 years (y) and 3.8 y for H and NH respectively; the survival probability at 2 y was 0.65 (0.59-0.71) vs 0.65 (0.62-0.68), 5 y 0.40 (0.33-0.48) vs 0.41 (0.38-0.44) and 10 y 0.19 (0.12-0.30) vs 0.14 (0.09-0.21) for H and NH respectively. There was no statistically significant differences between the cohorts on stage of disease at diagnosis, types of treatment received or overall survival probability. Conclusions: In Texas residents diagnosed with mantle cell lymphoma between 2006-2016, there were statistically significant differences in the level of poverty and insurance coverage between H and NH cohorts but no differences in stage at diagnosis, type of treatment received, or survival. Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Molecular Templates: Research Funding; AstraZeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Seattle Genetics: Speakers Bureau; Verastem: Speakers Bureau; AbbVie: Speakers Bureau.

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Population-Based Analysis of Hispanic Vs Non-Hispanic Patients Diagnosed with Hodgkin Lymphoma in Texas and Florida

Blood ◽

10.1182/blood-2021-152695 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 4531-4531

Author(s):

Abhishek Pandya ◽

Munaf Al-Kadhimi ◽

Qianqian Liu ◽

Joel E Michalek ◽

Adolfo Enrique Diaz Duque

Keyword(s):

Survival Time ◽

Hodgkin Lymphoma ◽

Median Survival ◽

Survival Probability ◽

Research Funding ◽

Poverty Index ◽

Survival Probabilities ◽

Kaplan Meier ◽

Significant Difference ◽

Race Ethnicity

Abstract Introduction: Classical Hodgkin lymphoma (cHL) accounts for about 90% of cases of HL. (Medicine PMID 26107683) Within cHL, there are 4 main histologic subtypes; the incidence of cHL varies based on age, race/ethnicity, geography, socioeconomic factors, Epstein Barr virus status, and the prevalence of HIV/AIDS. (Adv HematologyPMID 21197477) Considerable disparities exist in the incidence and survival rates between Hispanic (H) and non-Hispanic (NH) populations with cHL. (Ann Oncol PMID 22241896) Between 2013-2017, the incidence rate of cHL in Florida (FL) was 457 per 100,00, and in Texas (TX), it was 408 per 100,000. (North American Association of Central Cancer Registries, 2020) Our study aims to determine demographics, treatment outcomes, and survival outcomes of H and NH patients diagnosed with cHL in TX and FL. Methods: This is a retrospective study of a cohort of patients diagnosed with lymphoma (Hodgkin and Non-Hodgkin) from the Texas Cancer Registry (TCR) and the Florida Cancer Data System (FCDS) between 2006-2017. The third edition of the International Classification of Diseases for Oncology (ICD-O-3) was used to identify patient with cHL. Variables include gender, race, ethnicity, birthplace, occupation, dates at diagnosis and death, primary payer at diagnosis, subtype of lymphoma, stage, type of treatment, poverty index, and vitality status. The significance of variation in the distribution of categorical outcomes with ethnicity (H, NH) was assessed with Fisher's Exact tests or Pearson's Chi-square tests as appropriate; age was assessed with T-tests or Wilcoxon tests as appropriate. Survival time was measured in years from date of primary diagnosis to the date of death. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. At risk tables were computed based on the Kaplan-Meier estimate of the survival curve. All statistical testing was two-sided with a significance level of 5%. Corrections for multiple testing were not applied. Results: There were 6152 (1266 H, 4886 NH) patients in FL and 6241(1736 H, 4505 NH) patients in TX identified with cHL. In FL, the median age at diagnosis was 44.8 years (y) for H vs 48.3y for NH (p < 0.001) while in TX, there was no statistically significant difference (45.8y H, 44.9y NH, p = 0.102). In FL, there was no statistically significant difference among females (44% H, 46% NH, p = 0.136) and males (56% H, 53% NH, p = 0.136) while there was one in TX among females (43% H, 45% NH, p = 0.048) and males (58% H, 55% NH, p = 0.048). In FL, the majority of H (40.5%) and NH (36.6%) were in the 10-19.9% poverty index (p<0.001). In TX, the majority of H (51.2%) were in the 20-100% poverty index while the majority of NH (32.2%) were in the 10-19.9% index (p<0.001). In FL, 10.7% H and 6.4% NH were without insurance at time of diagnosis (p<0.001) while in TX, 23.8% H and 11.7% NH were in that position (p<0.001). The most common stage of diagnosis was stage III/IV with 37.8% H vs 34.2% NH in FL (p<0.001) and 44.1% H vs 34.6% NH in TX (p<0001). In FL, median survival time was 10.6y H vs 11.4y NH, while in TX, it was 10.3y H vs 10.4y NH. In FL, the survival probabilities at years 2, 5, and 10 were 0.858, 0.774, and 0.550 for H vs 0.808, 0.696, and 0.545 for NH, respectively. In TX, the survival probabilities at years 2, 5, and 10 were 0.758, 0.674, and 0.522 for H vs 0.828, 0.743, and 0.579 for NH, respectively. The survival probability at years 2, 5, and 10 were higher for H compared to NH in FL (p = 0.0018), however the survival probability at years 2, 5, and 10 were lower for H compared to NH in TX (p < 0.0001). Conclusion: Our study of patients diagnosed with cHL demonstrated several statistically significant differences among H and NH patients in both states. Importantly, H patients in TX had a statistically significant lower survival probability at 2, 5, and 10y compared to NH patients. A reason for this could be the more significant number of uninsured H as compared to NH patients. Conversely, H patients in FL had a statistically significant higher survival probability at 2 and 5y compared to NH patients, partly explained by the lower median age of diagnosis of H patients compared to NH patients. There is a need for further analysis that could help explain the disparities among the different ethnicities. Figure 1 Figure 1. Disclosures Diaz Duque: Astra Zeneca: Research Funding; Epizyme: Consultancy; Morphosys: Speakers Bureau; Incyte: Consultancy; ADCT: Consultancy; Hutchinson Pharmaceuticals: Research Funding.

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Does Hispanic Origin Affect the Repartition and Outcome of Marginal Zone Lymphoma?

Blood ◽

10.1182/blood-2020-136220 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 12-12

Author(s):

Lakene Raissa Djoufack Djoumessi ◽

Snegha Ananth ◽

Michael E Auster ◽

Joel E Michalek ◽

Qianqian Liu ◽

...

Keyword(s):

Overall Survival ◽

Median Survival ◽

Survival Probability ◽

Research Funding ◽

Marginal Zone ◽

Marginal Zone Lymphoma ◽

Age At Diagnosis ◽

Poverty Index ◽

Hispanic Origin ◽

Significant Difference

BACKGROUND Marginal zone lymphoma (MZL) is a rare indolent lymphoma that represents about 7% of all Non-Hodgkin's lymphoma (NHL). MZL is divided into 3 subtypes with different repartition based on primary anatomical site: 60% extra-nodal (EMZL), 32% nodal (NMZL), and 9% Splenic (SMZL) (CA Cancer J Clin, PMID: 27618563). While asymptomatic MZL is often left untreated, there are no clear guidelines regarding the first-line treatment of each subtype (Future Oncol, PMID: 29260925). Although the survival rate of MZL is superior to other NHL with a 5-year survival of 83-91%, cancer remains a leading cause of death among Hispanics (CA Cancer J Clin, PMID: 7618563; Natl Vital Stat Rep, PMID: 32501203). Our study aimed at establishing the impact of Hispanic origin on the repartition and outcomes of MZL. METHODS: Data from the Texas Cancer Registry were utilized including adult patients diagnosed with NHL between 2006-2016. The third edition of the International Classification of Diseases for Oncology (ICD-O-3) was used to select patients diagnosed with MZL and all patient information was de-identified. Standard demographic information and outcomes were obtained and summarized in tables. The significance of variance of categorical outcomes by ethnicity was calculated using Fisher's Exact test or T-test (statistical significance of 5%). Survival time was calculated from the date of primary diagnosis to date of death. Kaplan-Meier curves were used for survival distributions and the significance of variation in median survival with ethnicity was assessed with log-rank testing. RESULTS AND DISCUSSION Of the 43166 total cases of NHL, 3529 (8.2%) were MZL, of which 82%(n=2867) were Non-Hispanics (NH) and 18%(n=662) were Hispanics (H). When comparing the number of cases among each subtype of MZL in H vs NH, there were 408 vs 1570 cases of EMZL, 174 vs 1022 cases of NMZL, and 38 vs 275cases of SMZL respectively. The median age at diagnosis was 63.2 for H and 66.7 for NH. Younger age at diagnosis was noted in H compared to NH for EMZL (60.4 vs 65, p<0.001) and NMZL (64.4 vs 66.7, p=0.004). There was no statistical difference between genders. About 51.6% of H was in the 20-100% poverty index bracket compared to 20.1% in NH (p< 0.0001). The most prevalent insurance type was Medicare in both groups (H: 37%, NH: 47.2%) and the uninsured rate was higher in H (12.4 vs 3.2 p<0.02). Most individuals regardless of their ethnicity lived in the metro area (87%), non-border area (85%). EMZL was more prevalent in H (61% vs 54%, p=0.001) whereas NMZL (26,2% vs 35,6%, p=0.0005) and SMZL (5.7% vs 9.5% p=0.002) where more prevalent in NH. Regarding systemic treatment, there was no statistically significant difference between the two groups irrespective of MZL subtype; patients were treated with single or multiple agent chemotherapy as it follows: NMZL 34% H vs 27% NH, EMZL 16% H vs 15.5 NH, SMZL 24% H vs 25% NH. Beam radiation was more frequent in H for both EMZL (20% vs 14.6% p=0.031) and NMZL (3.4% vs 0.2%, p=0.02). Median survival in years was very similar in H vs NH (EMZL: 9 vs 9.3; NMZL: 7.6 vs 7.6; SMZL: 7.3 vs 8.3). Furthermore, there was no statistically significant difference in the overall survival probability for the 10-year follow up period (EMZL: p=0.46, NMZL: p=0.69; and SMZL: p=0.74). Demographics and results are summarized in Table 1. CONCLUSION Despite differences in demographics, poverty index, insurance coverage, and prevalence of each subtype of MZL in H compared to NH, there was no statistically significant difference in overall survival probability. These findings also suggest that the complex correlation between MZL biology, ethnicity and oncologic care can serve as the equalizer of disparities that lead to long term balanced outcomes. More in depth studies are needed to further clarify. Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Molecular Templates: Research Funding; AstraZeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Seattle Genetics: Speakers Bureau; Verastem: Speakers Bureau; AbbVie: Speakers Bureau.

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Improvement in the prognosis of breast cancer from 1965 to 1984.

Journal of Clinical Oncology ◽

10.1200/jco.1998.16.3.1030 ◽

1998 ◽

Vol 16 (3) ◽

pp. 1030-1035 ◽

Cited By ~ 17

Author(s):

M J Edwards ◽

J W Gamel ◽

E J Feuer

Keyword(s):

Breast Cancer ◽

Survival Time ◽

Median Survival ◽

Median Survival Time ◽

Parametric Analysis ◽

Parametric Models ◽

Node Negative ◽

Node Positive ◽

Significant Difference ◽

Node Positive Disease

PURPOSE The prognosis of breast cancer has improved over the past three decades. It is uncertain, however, whether this improvement results from an increase in the cure rate, extension of the life span of uncured patients, or some combination. METHODS From the Connecticut Tumor Registry, we obtained data on 25,091 patients with localized (node-negative) and regionally metastatic (node-positive) breast cancer who were diagnosed over the two decades between 1965 and 1984, with follow-up through 1993. The data for these patients were analyzed using a variety of parametric models to quantitate likelihood of cure and median survival time among uncured patients. These models incorporate the assumption that time to death from breast cancer follows a specific distribution. RESULTS For patients with node-negative disease, parametric analysis revealed no significant difference in cured-fraction or median survival time over the two decades studied. For patients with node-positive disease, however, a significant increase in median survival time (P < .001) was found during the second decade (1970 to 1979). There was also a trend toward a higher cured-fraction over time, but this was not statistically significant. CONCLUSION This study confirms that patients with node-positive disease had an improved prognosis over the two decades studied. Parametric analysis suggests that this improvement reflects primarily an increase in the median survival time for uncured patients, although there is a trend toward an increase in the likelihood of cure.

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Evaluation of chemotherapy response between Paclitaxel-Cisplatin, Paclitaxel -Gemcitabine and Gemcitabine - Cisplatin among non - resectable lung cancer patients, A retrospective study in tertiary care hospital.

Journal of Bangladesh College of Physicians and Surgeons ◽

10.3329/jbcps.v38i4.48977 ◽

2020 ◽

Vol 38 (4) ◽

pp. 172-175

Author(s):

Md Harun Or Rashid ◽

Quadrat E Elahi ◽

Md Ashraful Alam ◽

Fatima Sarker

Keyword(s):

Lung Cancer ◽

Survival Rate ◽

Survival Time ◽

Cancer Patients ◽

Median Survival ◽

Median Survival Time ◽

Chemotherapy Response ◽

Care Hospital ◽

Lung Cancer Patients ◽

Significant Difference

Background: To compare the survival rate of paclitaxel plus cisplatin (PC arm), paclitaxel plus gemcitabine (PG arm) and gemcitabine plus cisplatin (GC arm) in chemotherapy patients with non resectable lung cancer. Methods: This was a retrospective observational study to evaluate chemotherapy response among non resectable lung cancer patients with their survival at cancer center CMH, Dhaka since 01 July 2013 to 31 March 2015. One hundred fifty-four (154) non resectable lung cancer patients were randomly divided into three groups, 50 patients in PC arm, 51 patients in PG arm and 53 patients in GC arm. In PC arm paclitaxel 175 mg/m2 (day 1) with cisplatin 75mg/m2 (day 1), in PG arm Paclitaxel 175 mg/m2 (day 1) with gemcitabine 1000 mg/m2 (days 1 and 8) and in GC arm gemcitabine 1000 mg/m2 (days 1 and 8) with cisplatin 100mg/m2 (day 1). Results: Patients characteristics were similar between the three groups. The overall response rate was 40% in the PC arm,43.1% in the PG arm, 43.4% in the GC arm. The median survival time in PC arm was 8.5 months, in PG arm was 8.8 months, in GC arm was 9.2 months. The major side effect was myelosuppression which accounts 71% patients. The average treatment costs were 57% and 30% lower in PC arm as compared with GC and PG arm respectively. Conclusion: The median survival time, disease free survival time and 1-year survival rate in PC, PG, GC arms without significant difference. Treatment were well tolerable; quality of life parameter was mostly similar but paclitaxel with cisplatin was most cost effective than others chemotherapy regimen. J Bangladesh Coll Phys Surg 2020; 38(4): 172-175

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Clinical and Interphase-FISH Studies of Deletion of Derivative Chromosome 9 in Patients with Chronic Myelogenous Leukemia.

Blood ◽

10.1182/blood.v106.11.4482.4482 ◽

2005 ◽

Vol 106 (11) ◽

pp. 4482-4482

Author(s):

Wei Wu ◽

Yong-quan Xue ◽

Ya-fang Wu ◽

Jin-lan Pan ◽

Juan Shen

Keyword(s):

Survival Time ◽

Median Survival ◽

Median Survival Time ◽

Chromosome 9 ◽

Myelogenous Leukemia ◽

Derivative Chromosome ◽

Interphase Fish ◽

Significant Difference ◽

Cytogenetical Analysis ◽

Variant Ph Translocation

Abstract Objective: To determine the frequency of the deletion of derivative 9 [der(9)] among chronic myeloid leukemia (CML) patients with classic Ph translocation and variant Ph translocation, and to assess the association between this deletion and clinical prognosis. Methods: Cytogenetical analysis of bone marrow cells was performed by direct method and /or 24h culture method. RHG banding was used for karyotype analysis. Dual-color and dual-fusion DNA probe was used to perform interphase-FISH to investigate the deletion of der(9) in Ph+ CML patients and all patients were followed up. Result: Cytogenetical studies showed typical Ph translocation in 76/105 and variant Ph translocation in 29/105. Interphase-FISH studies showed deletion of der(9) in 12 cases(15.8%) of 76 patients with classic Ph translocation and in 4 cases (13.7%) of 29 patients with variant translocation. The frequency of deletion was similar in classic and variant translocations (P>0.9). This result is contrary to previous reports which suggested that deletions are much more common in variant Ph translocation than in classic Ph translocation. When the deletion was seen in a patient, it was present in all the Ph+ metaphases and nuclei. Three patients with heterogeneous cell populations mixed with cells with single 5′-ABL or 3′-BCR deletion and with both 5′-ABL and 3′-BCR deletion. It may suggest clone evolution in the progression of deletion. Complete clinical information was available in 54 patients. There were no significant difference in peripheral leukocyte count, platelet count, hemoglobin and percentage of peripheral blood blast cells between patients with and without der(9)deletion. However, the results of following up showed that the median survival time of patients with der(9) deletion was significantly shorter than those without der(9) deletion (34 months vs 76 months; P<0.05, log-rank Test). Conclusion: A deletion of der(9) is seen in about 1/6 Ph+ CML patients in china, with which Ph+ CML patients have shorter median survival time than those without it, indicating that it is a poor prognostic index. For evolution the prognosis of CML patients more precisely, it is best to perform cytogenetical analysis and FISH analysis for der(9) deletion simultaneously at diagnosis.

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Impact of rituximab on outcome of autologous transplantation for mantle cell lymphoma

Journal of Clinical Oncology ◽

10.1200/jco.2006.24.18_suppl.7555 ◽

2006 ◽

Vol 24 (18_suppl) ◽

pp. 7555-7555 ◽

Cited By ~ 2

Author(s):

A. Naing ◽

J. Palmer ◽

N. Tsai ◽

N. Kogut ◽

L. Popplewell ◽

...

Keyword(s):

Mantle Cell Lymphoma ◽

Median Survival ◽

Relapse Rate ◽

Survival Probability ◽

Cell Lymphoma ◽

Disease Stage ◽

Bulky Disease ◽

Mantle Cell ◽

The Impact ◽

Disease Free

7555 Background: Currently, Mantle Cell Lymphoma (MCL) is an incurable disease. Patients treated with chemotherapy alone experience only transient responses, with no long-term improvement in disease-free/overall survival. While autologous hematopoietic stem cell transplantation (ASCT) in MCL patients has demonstrated prolonged survival, relapse remains the major issue. We evaluate the impact of rituximab (Rituxan, Rtx) on relapse and survival following ASCT. Method: A case-series of 83 MCL patients treated with ASCT at City of Hope (from 02/1991 to 04/2005) were examined; a total of 52 patients received Rtx (with-Rtx) as part of their induction/salvage treatment (pre-ASCT) and/or maintenance therapy (post-ASCT), 31 patients did not receive Rtx (no-Rtx) at any point pre-/post-ASCT. An assessment of baseline patient and disease characteristics (gender, age, KPS, % of pts with bone marrow involvement at diagnosis, disease stage/status at ASCT, % of pts with bulky disease B-symptoms at ASCT, and # of regimens administered prior to ASCT) showed no significant differences among the two groups. Result: To date, 23 patients have relapsed/progressed post-ASCT; 61% of the patients in the no-Rtx group remain disease free at last contact, while 79% in the with-Rtx group remain disease free. The median survival in the no-Rtx group is 77.63 months; the median survival time point for the with-Rtx group has not been reached due to shorter follow-up period. The 2-yr relapse rate for the with-Rtx/no-Rtx groups among 1st CR/PR patients were 19% (95% CI: 10–33%) and 26% (95% CI: 14–43%) (p > 0.05) respectively and the 2-yr relapse rate for the with-Rtx/no-Rtx groups among the beyond 1st CR pts were 33% and 40% respectively (p > 0.05). The survival endpoint showed similar results. The 2-yr survival probability for the with-Rtx/no-Rtx groups among the 1st CR/PR patients were 91% (95% CI: 76–97%) and 82% (95% CI: 64–91%) (p > 0.05) respectively and the 2-yr survival probability for the with-Rtx/no-Rtx groups among the patients beyond 1st CR/PR were 59% and 63% respectively (p > 0.05). Conclusion: Using Rtx as induction/salvage and/or maintenance before and after ASCT therapy may not be associated with decreased relapse and improved survival. Nevertheless, our data indicate that outcome is better when ASCT is carried out at 1st CR/PR. No significant financial relationships to disclose.

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Ethnic Disparities in Hodgkin's Lymphoma (HL): A Large-Scale Population Based Analysis of Hispanics with HL in Texas

Blood ◽

10.1182/blood-2020-137230 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 29-30

Author(s):

Sushanth Kakarla ◽

Gerardo Manuel Rosas ◽

Sarah Allison Smith ◽

Brian Warnecke ◽

Joel E Michalek ◽

...

Keyword(s):

Overall Survival ◽

Survival Time ◽

Survival Probability ◽

Research Funding ◽

Private Insurance ◽

Statistical Testing ◽

Statistical Computing ◽

P Value ◽

Poverty Index ◽

Kaplan Meier

BACKGROUND: It is estimated that 8480 persons in USA will be diagnosed with Hodgkin Lymphoma (HL) in 2020 accounting to approximately 0.5% of all new cancer diagnoses. The advent of new treatment options has improved the outcomes of this disease and 5-year relative survival rate is 87.4% currently. However, studies have shown that outcomes of HL have been worse in Hispanics (Annals of Oncology, PMID: 22241896) especially in late stage disease and HI experience up to a 35% higher risk of HL specific mortality than whites (AACR,PMID: 26826029). There is an unmet need in the field and dossiers on underrepresented ethnic minorities need to be carefully considered, compared to existing data. Our study aims to compare survival outcomes in Hispanics (HI) vs Non-Hispanics (NH) with HL and to our knowledge this is the largest cohort of patients from an area that represents a large proportion of HI population in the USA. METHODS: This is a retrospective study that examines HL patients obtained from Texas Cancer Registry (TCR) database between 2006-2016 and identified by the International Classification of Diseases for Oncology Third Edition (ICD-O-3) code list. All patient data was provided to us de-identified. Standard demographic variables collected include gender, race, ethnicity, dates at diagnosis and death, primary payer at diagnosis, subtype of lymphoma, stage, treatment modality, poverty index among others. Categorical outcomes were summarized with frequencies and percentages while age (years), the only continuously distributed outcome was summarized with the mean and standard deviation. The significance of variation in the distribution of categorical outcomes with ethnicity (HI vs NH) was assessed with Fisher's Exact tests or Pearson's Chi-square tests as appropriate; age was assessed with T-tests or Wilcoxon tests as appropriate. Survival time (years) was measured from date of primary diagnosis to death. Patients not coded as dead were considered censored on survival time at the date last seen. Survival distributions were described with Kaplan-Meier curves and significance of variation in median survival with ethnicity was assessed with log rank testing. At risk tables were computed based on the Kaplan-Meier estimate of the survival curve. All statistical testing was two-sided with a significance level of 5%. Corrections for multiple testing were not applied. The R language [R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria] was used throughout. RESULTS: We identified 6353 patients with HL, of which 1843 were HI (29%), 4510 NH (71%). Median age of diagnosis in HI was 41.3 vs 42.3 in NH (p = 0.084). Males were more frequently affected, 56.5% in HI vs 54.8 in NH (p = 0.213). Most frequent poverty index bracket for HI was between 20-100% vs 10-19.9% for NH (p < 0.001). Most frequent payment model amongst both groups was private insurance with 28.1% in HI vs 45.1% in NH (p < 0.001). Metro/non-border most frequent locality amongst both groups (p value n/a) with Harris county accounting to 15.7% of HL in HI vs 16.5% of HL in NH. Bexar county accounted for 12.5% of HL in HI vs 5.2% of HL in NH. Most common stage at diagnosis in both groups was III/IV with 43% in HI vs 33.7% in NH (p < 0.001). In both groups most frequent chemotherapy included multiple agents, 57.1% in HI vs 48.8% in NH (p < 0.001). Majority in both groups neither got any radiation, 77% in HI vs 76.5% in NH (p = 0.208) nor hematologic transplant, 92% in HI vs 88.6% in NH (p = 0.01). We found the median overall survival time in HI was 10.5 years vs 10.8 years in NH; the overall survival probability for HI vs NH at 2 years was 0.8 [CI 0.771-0.811] vs 0.85 [CI 0.83-0.853], at 5 years was 0.72 [CI 0.694-0.743] vs 0.77 [CI 0.753-0.782] and at 10 years was 0.60 [CI 0.544-0.646] vs 0.65 [CI 0.615-0.679]. CONCLUSION: Our study demonstrates that amongst the population of Texas, HI patients with HL have a statistically significant worse overall survival probability (p value < 0.0001) when compared to NH patients with HL. It is of paramount importance that outcomes for all racial and ethnic groups continue to improve but very little is known about the basis for these differences. This warrants a deeper investigation into the biological and non-biological determinants for these differences. Figure Disclosures Diaz Duque: ADCT Therapeutics: Research Funding; Molecular Templates: Research Funding; AstraZeneca: Research Funding; Hutchinson Pharmaceuticals: Research Funding; Seattle Genetics: Speakers Bureau; Verastem: Speakers Bureau; AbbVie: Speakers Bureau.

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