Next Article in Journal
Emerging Role of Hippo-YAP (Yes-Associated Protein)/TAZ (Transcriptional Coactivator with PDZ-Binding Motif) Pathway Dysregulation in Renal Cell Carcinoma Progression
Next Article in Special Issue
Clinical and Histologic Variants of CD8+ Cutaneous T-Cell Lymphomas
Previous Article in Journal
Prognostic Significance of EGFR, HER2, and c-Met Overexpression in Surgically Treated Patients with Adenocarcinoma of the Ampulla of Vater
Previous Article in Special Issue
Evaluation of Quality of Life and Treatment Satisfaction in Newly Diagnosed Cutaneous T-Cell Lymphoma Patients
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Assessing Health-Related Quality of Life in Mycosis Fungoides and Sézary Syndrome: Unmet Needs

by
Danielle Brazel
1,
Cecilia Larocca
2 and
Michi M. Shinohara
3,*
1
Department of Hematology/Oncology, Scripps Clinic/Scripps Green Hospital, La Jolla, CA 92037, USA
2
Brigham and Women’s Department of Dermatology, Dana Farber Cancer Center, Boston, MA 02215, USA
3
Department of Dermatology, University of Washington, 1959 Northeast Pacific Street BB-1353, Box 356524, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(15), 2757; https://doi.org/10.3390/cancers16152757
Submission received: 3 July 2024 / Revised: 30 July 2024 / Accepted: 30 July 2024 / Published: 3 August 2024
(This article belongs to the Special Issue Cutaneous Lymphoma)

Abstract

:

Simple Summary

Mycosis fungoides and Sézary syndrome can impair multiple dimensions of health-related quality of life due to physical symptoms including pruritus, treatment side effects, time and financial burdens associated with high healthcare utilization, and psychological distress. There are several areas of unmet needs around health-related quality of life in this population, and the optimal way to measure health-related quality of life isn’t yet clear.

Abstract

Mycosis fungoides (MF) and Sézary syndrome (SS) can impair multiple dimensions of health-related quality of life (HRQoL). Currently, there is no standardized assessment tool for measuring HRQoL in patients with MF/SS. Here, we describe the existing literature on multiple dimensions of HRQoL in MF/SS with a special focus on the gaps in the current knowledge and identify future directions necessary to assess the HRQoL of patients with this disease.

1. Introduction

Cutaneous T-cell lymphoma (CTCL) describes a heterogeneous group of non-Hodgkin lymphomas that primarily affect the skin, with mycosis fungoides (MFs) and Sézary syndrome (SS) being common subtypes. Other subtypes include CD30+ lymphoproliferative disorders such as primary cutaneous anaplastic large-cell lymphoma, lymphomatoid papulosis, and non-MF CTCLs such as adult T-cell leukemia/lymphoma, subcutaneous panniculitis like T-cell lymphoma, and primary cutaneous peripheral T-cell lymphoma. MF is a T-cell non-Hodgkin lymphoma characterized by skin lesions such as erythroderma, patches, plaques, or tumors. Skin lesions may be localized or widespread and include additional sites such as lymph nodes or viscera. SS is a distinctive erythrodermic T cell non-Hodgkin lymphoma with leukemic involvement by T cells with clonal receptor rearrangements. SS can present de novo with skin, blood, or nodal involvement or it may evolve from MF. MF and SS share many histologic and clinical features; however, patients with SS frequently are more symptomatic, have lower remission rates, and have shorter survival compared to MF patients. Many patients with MF/SS experience indolent disease, with a clinical course that can span decades [1].
Involvement of MF/SS can vary from localized patches/plaques in early stages to ulcerative tumors or erythroderma with or without extracutaneous involvement in more advanced stages [2,3,4]. Severity of disease is determined by staging, which describes lesion morphology and compartment(s) involved including skin (patch, plaque, tumor, erythroderma), blood, lymph nodes, or viscera. The staging of MF/SS is summarized in Table 1. Although the standard accepted staging criteria were established by Olsen et al., there is some subjectivity in the criteria. For example, one study found high divergence rates (25%) among experts when distinguishing between thin and thick plaques [5].
Treatment of MF/SS depends on the stage of disease. Early-stage disease can be treated with skin-directed therapy such as topical agents, phototherapy, and radiation [6]. Although skin-directed therapy is generally well-tolerated, it can be very time-consuming for patients, and can be associated with skin and hair changes in the treatment area. Generalized or advanced disease can be treated with retinoids, methotrexate, interferons, extracorporeal photopheresis, histone deacetylase inhibitors, alemtuzumab, single-agent chemotherapies or combination therapy of the above with or without skin-directed therapy. Relapsed or refractory disease can be managed with new agents such as mogamulizumab, brentuximab vedotin, or pembrolizumab. These agents have associated toxicity profiles, require regular clinic visits for monitoring, and can be expensive for the patient and/or healthcare system. Standard systemic treatments and their most common side effects are listed in Table 2 [7,8].

2. Quality of Life in MF/SS

Measuring patient well-being and overall health was incorporated in medical decision-making in the 1970s, particularly for survival decisions [9,10]. The Food and Drug Administration (FDA) has recognized that patient-reported outcomes, including those that relate to QoL, relief of tumor-related symptoms, and drug toxicity, should be considered in the approval process for oncology drugs [11]. Patient QoL is regularly taken into consideration for drug approval in the European Union.
MF/SS are largely incurable, though highly treatable conditions. Although many patients with MF/SS have a good prognosis, patients may live for decades experiencing significant symptoms and distress from either their disease or the associated treatments [12]. Treatment is predominantly palliative with a focus on symptom control, emphasizing the importance of measuring QOL in this patient population.
Currently, there is no standardized assessment tool of HRQoL in patients with MF/SS, and it is unclear how the combination of dermatologic symptoms and cancer diagnosis interplay. Using a patient-reported outcome measure (PROM) to assess HRQoL can help monitor the impact of disease, measure the benefit of treatment, and prioritize symptoms to focus on during clinical encounters. Here, we review the dermatologic and oncologic tools commonly used to assess HRQoL in patients with MF/SS, with a focus on highlighting the unmet needs in the existing literature on HRQoL in MF/SS.

3. Dermatologic-Specific Assessments of HRQoL

Chronic skin diseases can cause significant psychological and social distress [13] and HRQoL in dermatology patients is considered a significant cause of non-fatal disease burden [14]. The disability experienced by patients with psoriasis, for example, has been compared to that of other chronic conditions such as heart disease and diabetes [15].
HRQoL in adult dermatologic conditions is frequently assessed in studies using dermatology-specific PROMs such as the Dermatology Life Quality Index (DLQI) or Skindex (SkinDex-16 or SkinDex-29). Although both the DLQI and Skindex are validated for clinical use, Skindex-16 has been shown to be more sensitive for mild impairments in HRQoL [16]. The DLQI contains 10 questions on patients’ perception of skin diseases and impact on daily life over the past week. The Skindex-16 includes questions about symptoms (itching, burning, pain), emotional disturbances, and impact on social interactions and daily life.
Neither the DLQI nor Skindex include questions related to cancer diagnosis and treatment, such as fear of dying or caregiver burden. Among patients with MF, the majority (80%) worry about dying from the disease [12], which is not captured by the dermatologic-specific PROMs. In contrast to cancer patients, dermatology patients including those with MF do not feel they understand their disease [17,18]. Patients report poor insight into their condition, with some believing MF was caused by anxiety. Similarly, studies of patients with alopecia have reported distress associated with illness beliefs that may not represent the actual cause of their disease [19,20].

4. Cancer-Specific Assessments of HRQoL

HRQoL in cancer patients can be measured using multiple instruments, including the European Organisation for the Research and Treatment of Cancer (EORTC QLQ-C30) or the Functional Assessment of Cancer Therapy-General (FACT-G). The EORTC QLQ-C30 is a 30-question tool to analyze quality of life in all cancer patients. The core questionnaire asks about exertion, activities of daily living, and symptoms over the last week including pain, insomnia, nausea, vomiting, diarrhea, and constipation. There are also shorter EORTC questionnaires for palliative cancer patients to assess functional abilities. The EORTC has developed a library of 75 questionnaires looking at quality of life in cancer patients that are available in over 120 languages. FACT-G is the core measure of the Functional Assessment of Chronic Illness Therapy (FACIT) measurement system, and is a 27-item assessment measuring physical, social, emotional, and functional well-being.
These cancer assessments include questions about treatment side effects, emotional disturbances, social interactions, activities of daily living, and family support. Cancer-specific symptoms such as nausea and insomnia are included, but dermatologic symptoms are not.

5. MF/SS-Specific Assessments of HRQoL

There is currently only one published PROM that has been validated specifically for use in patients with MF/SS, the MF/SS-CTCL QoL [21]. The MF/SS-CTCL is an online only instrument developed in collaboration with the PatientsLikeMe Open Research Exchange. The MF/SS-CTCL QoL study relied on self-reported participant data, and the MF/SS-CTCL QoL score did not differ significantly by stage, suggesting a lower responsiveness when compared to other instruments.
Table 3 compares domains addressed by the dermatologic-specific and cancer-specific QOL questionnaires.

6. Impact on HRQoL in Patients with MF/SS: What Is Currently Known

MF/SS have been shown to impair multiple dimensions of HRQoL due to pruritus, physical disfigurement, treatment side effects, time and financial burdens associated with high healthcare utilization, and psychological distress [12,22,23]. The impact of MF/SS on HRQoL is thought to be at least in part related to disease stage, with greater impacts for patients with more advanced disease; however, even patients with early-stage disease can experience significant impairment [24,25,26].

6.1. Physical: Skin Symptoms and Pruritus

A large study on HRQoL of over 600 patients registered in the Mycosis Fungoides Foundation found that participants were most bothered by skin erythema (94%) and symptoms impacting choice of clothing (63%) [12]. The majority (>80%) were bothered by itching, scaling, or redness. Pruritus was more common than expected, impacting 88% of respondents. In total, 62% reported their disease made them feel unattractive and 50% reported their illness interfered with their sex life. Half (50%) reported their disease interfered with daily activities. CTCL patients expressed higher levels of anxiety and depression compared to healthy controls.
More recently, a survey of 372 CTCL patients (74% with early-stage disease) found a mean itch score in this cohort on a visual analog scale of 3.2 +/− 2.8, indicating moderate pruritus [27,28]. Higher itch scores were associated with worse HRQoL on Skindex-16 and FACT-G measurements, similar to findings in previous reports [27,29,30]. Patients with CTCL reported worse HRQoL as assessed by FACT-G compared to other patients with indolent and aggressive lymphomas [27,31]. The authors found that overall HRQoL as measured by Skindex-16 and FACT-G was worse in patients with more advanced stage disease [27].
A systematic review of 24 studies utilizing 18 questionnaires to assess dermatology-specific, cancer-specific, and general QOL highlighted that even patients with early-stage disease had mild-to-moderate impacts on QOL, though there were greater impairments with more advanced stage disease [32]. Again, pruritus was the most frequently reported and most impactful symptom. Both patients and caregivers reported effects of the disease on activities of daily life.
Current CTCL guidelines focus on treatment of malignancy and do not provide guidance on pruritus management or other symptomatic care for dermatologic manifestations [8].

6.2. Psychosocial/Mental Health

Despite having a good prognosis relative to other hematologic malignancies, patients with MF/SS still report significant psychological distress associated with their cancer diagnosis and management. In Demierre’s 2006 study, almost all participants (94%) reported feeling worried about the seriousness of their disease and 80% were worried about dying from CTCL [12]. Patients with MF/SS can also experience insomnia or depression, further worsening QoL [33].
A qualitative study found the most common symptom in CTCL patients was frustration (44%) followed by worry about progress or spread (43%) [34]. Patients also reported a high degree of embarrassment and shame (28%).

7. Unmet Needs in Assessing HRQoL for Patients with MF/SS

7.1. Disease-Specific MF/SS HRQoL Assessment Tool

An optimal assessment tool for HRQoL in MF/SS needed, particularly for clinical use. As a disease that has overlapping features of both a cancer and a skin condition, no single existing tool captures the clinical, psychological, and social burden of this disease or has been validated in this specific patient population. The majority of existing tools used to measure HRQoL are designed for research purposes rather than every day clinical use [16]. An ideal MF/SS HRQoL assessment tool for the real-world clinical setting would need to incorporate all key domains important for patients with MF/SS, including dermatologic (skin symptoms) and oncologic domains (fear of dying), while remaining more concise and targeted than existing instruments to be incorporated in clinical workflow.

7.1.1. Instrument Responsiveness

Given that treatment is largely palliative, incorporating questionnaire results into the electronic medical record to be tracked over time may help with treatment-related decision-making and tailoring each encounter to the patient’s needs. This longitudinal measurement can better inform treatment risks and benefits discussions and overall goals of care. As such, an ideal instrument needs to be responsive, showing clinically meaningful changes along with clinical impact.
Existing instruments may not be sensitive enough to detect impact on HRQoL in early-stage disease. The literature has shown conflicting results on HRQoL in early-stage disease with some studies showing a significant negative impact [35] and others showing minimal impact [18]. Patients with no evidence of disease and those with active early-stage MF had similar Skindex-29 scores [35].

7.1.2. Relationship between HRQoL and Other Disease Outcomes

Studies found that the EuroQol Five Dimensions questionnaire identifies patients with diabetes at higher risk of diabetic complications and death. A larger review of 110 studies showed that HRQoL measures correlate with mortality in both the general population and in sub-populations with health conditions [36]. The most common diagnoses included were cardiovascular disease, kidney disease, and dialysis. The relationship between HRQoL and long-term mortality was consistent; however, the relationship between short-term quality of life correlated with mortality only in diseases with a limited life expectancy, such as terminal cancer [37,38,39,40]. Most studies used Cox proportional hazards models to assess multivariate relationships. With additional studies, it is possible that similar tools may be incorporated into prognostication for patients with MF/SS.
It is not known whether impacting aspects of HRQoL might impact other outcomes for patients with MF/SS. In patients with psoriasis, psychological distress has been associated with worse responses to PUVA and adding cognitive behavior therapy to psoriasis treatment subsequently improved outcomes [41]. Whether similar interventions could improve outcomes in patients with MF/SS has not yet been explored.

7.1.3. Side Effects and Prognosis

Although treatment-related toxicities can present challenges, in some instances, they may also predict patient response to therapy. Patients treated with immune-checkpoint inhibitors such as pembrolizumab who develop immune-related adverse effects may have a better response to treatment. Patients that required immunosuppressive treatment for diarrhea secondary to immune-checkpoint inhibitors had a statistically significant overall survival benefit [42]. Similarly, the development of a mogamulizumab-associated rash (MAR) correlates with longer progression-free survival in patients with MF or SS [43]. Through tracking of treatment side effects in an objective manner, the association between response and side effects can be further characterized. With a better understanding of the possible side effects, these can help predict overall clinical course and potentially be included in future prognostication models.

7.2. Health Disparities in Patients with MF/SS

7.2.1. Race

There is growing evidence for the interplay between health disparities and outcomes for patients with MF/SS [44,45,46]. Black/African American patients are twice as likely as white patients to develop CTCL [47]. In a retrospective study of 292 MF/SS patients, Black/African American patients had worse overall survival with an HR of 2.88 (95% CI 1.21–6.85) [48]. Erythroderma and ulceration were associated with poorer prognosis in Black/African Americans. Hypopigmentation was associated with survival in Black/African American patients but not in white patients. Nonwhite patients have worse QOL from itching even after adjusting for itch severity [49], and African American patients reported greater emotional impact as a result of their pruritus [46]. Although the etiology for these differences is not well understood, these findings suggest that patients with MF/SS may require different psychosocial support and supportive care depending on their race. A qualitative study found that due to initial misdiagnosis, Black/African American patients with MF/SS suffered from diagnostic and therapeutic delays, which may further exacerbate the psychological distress associated with diagnosis [50]. In a large analysis of 4495 cases of MF/SS from the US National Cancer Database, Black/African American race was associated with more advanced stage and decreased overall survival [51].

7.2.2. Gender

MF is more common in men than women but little is known about how gender influences prognosis. One review of the National Cancer Database (NCDB) found that MF was less common in women and that women were more likely to present with stage I disease [52]. Both 5- and 10-year overall survival rates were higher in women (76.9% and 63.6%, respectively) than for men (70.7%; 54.2%; p < 0.0001). There remained a survival benefit in female patients with MF after controlling for age and disease stage. Other studies have suggested that biological differences in female patients may serve a protective role in other forms of non-Hodgkin lymphoma [53].
Despite this suggestion of better outcomes, women with CTCL report worse HRQoL compared to men, even after controlling for disease stage [54,55]. This is consistent with prior literature in dermatology that found that when compared to men, women with psoriasis [56] and atopic dermatitis [57] reported a greater impairment in HRQoL. Newly diagnosed women and patients with alopecia are particularly impacted [55].

7.3. Disease Beliefs and Impact on HRQoL

Beliefs surrounding a patient’s illness have been shown to have a greater impact on psychological QOL compared to disease severity in rheumatoid arthritis patients [58]; however, there is very limited research on this in patients with MF/SS. One study of 20 patients found that although early-stage MF had little impact on QOL, poor understanding of the disease was correlated with negative emotional and cognitive effects [18]. Most patients reported they believe their disease was caused by stress, similar to perceptions of patients with atopic dermatitis [18,59].

7.4. Sexual Health and Impact on HRQoL

Questions about sexual health are included on the FACT-G questionnaire; however, there is little published regarding this dimension of HRQoL. One survey found that nearly half (47%) of patients with MF/SS report that their diagnosis has a negative impact on sexual intimacy [12]. Additional investigations are needed to confirm this finding, better understand the etiology, and identify ways to mitigate this negative impairment.

7.5. Impact on Caregivers and Families of Patients with CTCL

Family members of patients with MF/SS report emotional distress, physical burdens, and financial burdens associated with attending medical appointments, assisting with skin care, providing support for and advocating for their loved ones [60,61]. Family members report difficulty with communication while watching a loved one suffer [60]. Additional research is needed to confirm the biggest impacts on caregiver QOL to better address their concerns.

7.6. Financial Toxicity and Impact on Work

There is limited existing literature regarding the financial impact of MF/SS diagnosis and treatment. The majority of patients with MF/SS (61%) feel financially burdened by their illness, and 55% of patients felt fatigue or impaired sleep, which resulted in missed school or work [12]. Financial impacts associated with MF/SS diagnosis and treatment may impact the patient, the healthcare system/insurance, or both parties. Direct financial costs may be associated with prescriptions, over-the-counter supportive care treatments, and office copays. Indirect financial costs include transportation, childcare, absence from school or work and caregiver costs. Given the wide range in disease manifestations and in treatment modalities, more research is needed on the financial burden of MF/SS.

8. Conclusions

Patients with MF/SS have impaired HRQoL on both dermatologic and cancer-specific questionnaires. The dermatologic-specific HRQoL measures include symptoms such as itching and burning but do not inquire about family support, coping skills, or fear of dying. Cancer-specific assessments include family support and fear of dying but do not measure some of the most bothersome symptoms including pruritus, burning, and impact on clothing choice. Given that the majority of treatments for MF/SS are palliative and focused on alleviating symptoms, a concise MF/SS HRQoL questionnaire is an unmet need for this patient population, particularly for clinical use. Development and validation of an MF/SS-specific HRQoL assessment has the potential to monitor the impact of HRQoL on treatment response and help influence medical decision-making. By incorporating this instrument into the EMR, clinically meaningful changes in HRQoL can be tracked over time and addressed promptly. Ideally instruments should be responsive across all stages, including early-stage disease.
Additional research is needed to expand on HRQoL disparities, disease beliefs/patient education, sexual wellness, impact on social/caregivers, and financial toxicity.

Author Contributions

D.B. carried out clinical review and data interpretation, and drafted and reviewed all versions of the manuscript; C.L. carried out clinical review and editing, and reviewed all versions of the manuscript; M.M.S. conceptualized the study, carried out data interpretation and editing, provided oversight, and reviewed all versions of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

No funding was secured for this report.

Conflicts of Interest

The authors declare they have no competing interests.

Abbreviations

EORTC: European Organisation for Research and Treatment of Cancer; CTCL: cutaneous T-cell lymphoma; FACT-G: Functional Assessment of Cancer Therapy—General; HRQoL: health-related quality of life; MF: mycosis fungoides; NCDB: National Cancer Database; QOL: quality of life; PROM: patient-reported outcome measure; SS: Sezary syndrome

References

  1. Willemze, R. Cutaneous T-cell lymphoma: Epidemiology, etiology, and classification. Leuk. Lymphoma 2003, 44 (Suppl. 3), S49–S54. [Google Scholar] [CrossRef]
  2. Olsen, E.A.; Whittaker, S.; Kim, Y.H.; Duvic, M.; Prince, H.M.; Lessin, S.R.; Wood, G.S.; Willemze, R.; Demierre, M.F.; Pimpinelli, N.; et al. Clinical end points and response criteria in mycosis fungoides and Sézary syndrome: A consensus statement of the International Society for Cutaneous Lymphomas, the United States Cutaneous Lymphoma Consortium, and the Cutaneous Lymphoma Task Force of the European Organisation for Research and Treatment of Cancer. J. Clin. Oncol. 2011, 29, 2598–2607. [Google Scholar] [CrossRef] [PubMed]
  3. Olsen, E.A.; Whittaker, S.; Willemze, R.; Pinter-Brown, L.; Foss, F.; Geskin, L.; Schwartz, L.; Horwitz, S.; Guitart, J.; Zic, J.; et al. Primary cutaneous lymphoma: Recommendations for clinical trial design and staging update from the ISCL, USCLC, and EORTC. Blood 2022, 140, 419–437. [Google Scholar] [CrossRef]
  4. Willemze, R.; Cerroni, L.; Kempf, W.; Berti, E.; Facchetti, F.; Swerdlow, S.H.; Jaffe, E.S. The 2018 update of the WHO-EORTC classification for primary cutaneous lymphomas. Blood 2019, 133, 1703–1714. [Google Scholar] [CrossRef] [PubMed]
  5. Quaglino, P.; Scarisbrick, J.; Roccuzzo, G.; Abeldano, A.; Battistella, M.; McCormack, C.; Cowan, R.; Cozzio, A.; Cury-Martins, J.; Enz, P.; et al. Identifying unmet needs and challenges in the definition of a plaque in mycosis fungoides: An EORTC-CLTG/ISCL survey. J. Eur. Acad. Dermatol. Venereol. 2023, 37, 680–688. [Google Scholar] [CrossRef]
  6. Tarabadkar, E.S.; Shinohara, M.M. Skin Directed Therapy in Cutaneous T-Cell Lymphoma. Front. Oncol. 2019, 9, 260. [Google Scholar] [CrossRef] [PubMed]
  7. Khan, N.; Noor, S.J.; Horwitz, S. How we treat mycosis fungoides and Sézary syndrome. Clin. Adv. Hematol. Oncol. 2021, 19, 573–581. [Google Scholar]
  8. NCCN Clinical Practice Guidelines for T-Cell Lymphoma. Available online: https://www.nccn.org/professionals/physician_gls/pdf/t-cell.pdf (accessed on 1 June 2024).
  9. Fayers, P.M.; Machin, D. Quality of Life: The Assessment, Analysis and Reporting of Patient-Reported Outcomes, 3rd ed.; Wiley Blackwell: Chichester, UK, 2015. [Google Scholar]
  10. Pennacchini, M.; Bertolaso, M.; Elvira, M.M.; De Marinis, M.G. A brief history of the Quality of Life: Its use in medicine and in philosophy. Clin. Ter. 2011, 162, e99–e103. [Google Scholar] [PubMed]
  11. FDA Guidance for Industry. Available online: https://www.fda.gov/media/77832/download (accessed on 1 June 2024).
  12. Demierre, M.F.; Gan, S.; Jones, J.; Miller, D.R. Significant impact of cutaneous T-cell lymphoma on patients’ quality of life: Results of a 2005 National Cutaneous Lymphoma Foundation Survey. Cancer 2006, 107, 2504–2511. [Google Scholar] [CrossRef]
  13. Hong, J.; Koo, B.; Koo, J. The psychosocial and occupational impact of chronic skin disease. Dermatol. Ther. 2008, 21, 54–59. [Google Scholar] [CrossRef]
  14. Hay, R.J.; Johns, N.E.; Williams, H.C.; Bolliger, I.W.; Dellavalle, R.P.; Margolis, D.J.; Marks, R.; Naldi, L.; Weinstock, M.A.; Wulf, S.K.; et al. The global burden of skin disease in 2010: An analysis of the prevalence and impact of skin conditions. J. Investig. Dermatol. 2014, 134, 1527–1534. [Google Scholar] [CrossRef]
  15. Choi, J.; Koo, J.Y. Quality of life issues in psoriasis. J. Am. Acad. Dermatol. 2003, 49 (Suppl. 2), S57–S61. [Google Scholar] [CrossRef]
  16. Szabó, Á.; Brodszky, V.; Rencz, F. A comparative study on the measurement properties of Dermatology Life Quality Index (DLQI), DLQI-Relevant and Skindex-16. Br. J. Dermatol. 2022, 186, 485–495. [Google Scholar] [CrossRef] [PubMed]
  17. Hopman, P.; Rijken, M. Illness perceptions of cancer patients: Relationships with illness characteristics and coping. Psychooncology 2015, 24, 11–18. [Google Scholar] [CrossRef] [PubMed]
  18. Segal, O.; Trumper, N.; Pavlotsky, F.; Goldzweig, G.; Barzilai, A. Illness perception, coping, and quality of life in early-stage Mycosis fungoides. An. Bras. Dermatol. 2021, 96, 27–33. [Google Scholar] [CrossRef]
  19. Cartwright, T.; Endean, N.; Porter, A. Illness perceptions, coping and quality of life in patients with alopecia. Br. J. Dermatol. 2009, 160, 1034–1039. [Google Scholar] [CrossRef]
  20. Chiang, Y.Z.; Bundy, C.; Griffiths, C.E.; Paus, R.; Harries, M.J. The role of beliefs: Lessons from a pilot study on illness perception, psychological distress and quality of life in patients with primary cicatricial alopecia. Br. J. Dermatol. 2015, 172, 130–137. [Google Scholar] [CrossRef]
  21. McCaffrey, S.; Black, R.A.; Nagao, M.; Sepassi, M.; Sharma, G.; Thornton, S.; Kim, Y.H.; Braverman, J. Measurement of Quality of Life in Patients with Mycosis Fungoides/Sézary Syndrome Cutaneous T-Cell Lymphoma: Development of an Electronic Instrument. J. Med. Internet Res. 2019, 21, e11302. [Google Scholar] [CrossRef]
  22. Sampogna, F.; Frontani, M.; Baliva, G.; Lombardo, G.A.; Alvetreti, G.; Di Pietro, C.; Tabolli, S.; Russo, G.; Abeni, D. Quality of life and psychological distress in patients with cutaneous lymphoma. Br. J. Dermatol. 2009, 160, 815–822. [Google Scholar] [CrossRef]
  23. Jonak, C.; Porkert, S.; Oerlemans, S.; Papadavid, E.; Molloy, K.; Lehner-Baumgartner, E.; Cozzio, A.; Efficace, F.; Scarisbrick, J. Health-related Quality of Life in Cutaneous Lymphomas: Past, Present and Future. Acta Derm. Venereol. 2019, 99, 640–646. [Google Scholar] [CrossRef]
  24. Demierre, M.F.; Tien, A.; Miller, D. Health-related quality-of-life assessment in patients with cutaneous T-cell lymphoma. Arch. Dermatol. 2005, 141, 325–330. [Google Scholar] [CrossRef]
  25. Demierre, M.F.; Kim, Y.H.; Zackheim, H.S. Prognosis, clinical outcomes and quality of life issues in cutaneous T-cell lymphoma. Hematol. Oncol. Clin. N. Am. 2003, 17, 1485–1507. [Google Scholar] [CrossRef]
  26. Zackheim, H.S.; Koh, H.K.; Weinstock, M.A. Assessing clinical outcomes in cutaneous T-cell lymphoma. Hematol. Oncol. Clin. N. Am. 1995, 9, 1021–1029. [Google Scholar] [CrossRef]
  27. Shinohara, M.M.; Mahurin, H.M.; Tarabadkar, E.; Hippe, D.S.; Lachance, K.; Kim, E.J.; Loggers, E.T. Health-related quality of life in cutaneous T-cell lymphoma: A cross-sectional survey study. Skin Health Dis. 2021, 1, e45. [Google Scholar] [CrossRef] [PubMed]
  28. Reich, A.; Chatzigeorkidis, E.; Zeidler, C.; Osada, N.; Furue, M.; Takamori, K.; Ebata, T.; Augustin, M.; Szepietowski, J.C.; Ständer, S. Tailoring the Cut-off Values of the Visual Analogue Scale and Numeric Rating Scale in Itch Assessment. Acta Derm. Venereol. 2017, 97, 759–760. [Google Scholar] [CrossRef]
  29. Herbosa, C.M.; Semenov, Y.R.; Rosenberg, A.R.; Mehta-Shah, N.; Musiek, A.C. Clinical severity measures and quality-of-life burden in patients with mycosis fungoides and Sézary syndrome: Comparison of generic and dermatology-specific instruments. J. Eur. Acad. Dermatol. Venereol. 2020, 34, 995–1003. [Google Scholar] [CrossRef] [PubMed]
  30. Wright, A.; Wijeratne, A.; Hung, T.; Gao, W.; Whittaker, S.; Morris, S.; Scarisbrick, J.; Beynon, T. Prevalence and severity of pruritus and quality of life in patients with cutaneous T-cell lymphoma. J. Pain. Symptom Manag. 2013, 45, 114–119. [Google Scholar] [CrossRef]
  31. Beaven, A.W.; Samsa, G.; Zimmerman, S.; Smith, S.K. Quality of Life is Similar between Long-term Survivors of Indolent and Aggressive Non-Hodgkin Lymphoma. Cancer Investig. 2016, 34, 279–285. [Google Scholar] [CrossRef]
  32. Ottevanger, R.; van Beugen, S.; Evers, A.W.M.; Willemze, R.; Vermeer, M.H.; Quint, K.D. Quality of life in patients with Mycosis Fungoides and Sézary Syndrome: A systematic review of the literature. J. Eur. Acad. Dermatol. Venereol. 2021, 35, 2377–2387. [Google Scholar] [CrossRef]
  33. Erturk, I.E.; Arican, O.; Omurlu, I.K.; Sut, N. Effect of the pruritus on the quality of life: A preliminary study. Ann. Dermatol. 2012, 24, 406–412. [Google Scholar] [CrossRef]
  34. Martinez, X.U.; Chowdhury, A.; Stiller, T.; Palmer, J.; Loscalzo, M.; Barrios, E.; Abdulla, F.R.; Zain, J.; Rosen, S.T.; Querfeld, C. The impact of gender, age, race/ethnicity, and stage on quality of life in a spectrum of cutaneous lymphomas. Support. Care Cancer 2021, 29, 6669–6679. [Google Scholar] [CrossRef] [PubMed]
  35. Shalabi, D.; Kartan, S.; O’Donnell, M.; Zaya, R.; Zhan, T.; Shi, W.; Alpdogan, O.; Porcu, P.; Nikbakht, N. Skindex-29 scores indicate poor quality of life in early stage mycosis fungoides. J. Dermatol. Sci. 2020, 98, 98–101. [Google Scholar] [CrossRef] [PubMed]
  36. Nevarez-Flores, A.G.; Chappell, K.J.; Morgan, V.A.; Neil, A.L. Health-Related Quality of Life Scores and Values as Predictors of Mortality: A Scoping Review. J. Gen. Intern. Med. 2023, 38, 3389–3405. [Google Scholar] [CrossRef] [PubMed]
  37. Grande, G.E.; Farquhar, M.C.; Barclay, S.I.; Todd, C.J. Quality of life measures (EORTC QLQ-C30 and SF-36) as predictors of survival in palliative colorectal and lung cancer patients. Palliat. Support. Care 2009, 7, 289–297. [Google Scholar] [CrossRef]
  38. Domingo-Salvany, A.; Lamarca, R.; Ferrer, M.; Garcia-Aymerich, J.; Alonso, J.; Félez, M.; Khalaf, A.; Marrades, R.M.; Monsó, E.; Serra-Batlles, J.; et al. Health-related quality of life and mortality in male patients with chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2002, 166, 680–685. [Google Scholar] [CrossRef]
  39. Esteban, C.; Quintana, J.M.; Aburto, M.; Moraza, J.; Egurrola, M.; España, P.P.; Pérez-Izquierdo, J.; Capelastegui, A. Predictors of mortality in patients with stable COPD. J. Gen. Intern. Med. 2008, 23, 1829–1834. [Google Scholar] [CrossRef]
  40. González-Vélez, A.E.; Forjaz, M.J.; Giraldez-García, C.; Martín-García, S.; Martínez-Martín, P.; Ageing, S.R.G.o.Q.o.L.a. Quality of life by proxy and mortality in institutionalized older adults with dementia. Geriatr. Gerontol. Int. 2015, 15, 38–44. [Google Scholar] [CrossRef]
  41. Fortune, D.G.; Richards, H.L.; Kirby, B.; Bowcock, S.; Main, C.J.; Griffiths, C.E. A cognitive-behavioural symptom management programme as an adjunct in psoriasis therapy. Br. J. Dermatol. 2002, 146, 458–465. [Google Scholar] [CrossRef]
  42. Wang, Y.; Abu-Sbeih, H.; Mao, E.; Ali, N.; Ali, F.S.; Qiao, W.; Lum, P.; Raju, G.; Shuttlesworth, G.; Stroehlein, J.; et al. Immune-checkpoint inhibitor-induced diarrhea and colitis in patients with advanced malignancies: Retrospective review at MD Anderson. J. Immunother. Cancer 2018, 6, 37. [Google Scholar] [CrossRef]
  43. Hu, B.; Atrash, S.; Cohen, L.; Barta, S.K.; Zhang, Y.; Sokol, L.; Ayers, A.; Malpica Castillo, L.E.; Hwang, S.R.; Bennani, N.N.; et al. Mogamulizumab-Associated Rash (MAR) Correlates with Longer Progression Free Survival in Cutaneous T Cell Lymphoma (CTCL). Blood 2022, 140 (Suppl. 1), 1488–1490. [Google Scholar] [CrossRef]
  44. Huang, A.H.; Kwatra, S.G.; Khanna, R.; Semenov, Y.R.; Okoye, G.A.; Sweren, R.J. Racial Disparities in the Clinical Presentation and Prognosis of Patients with Mycosis Fungoides. J. Natl. Med. Assoc. 2019, 111, 633–639. [Google Scholar] [CrossRef] [PubMed]
  45. Nath, S.K.; Yu, J.B.; Wilson, L.D. Poorer prognosis of African-American patients with mycosis fungoides: An analysis of the SEER dataset, 1988 to 2008. Clin. Lymphoma Myeloma Leuk. 2014, 14, 419–423. [Google Scholar] [CrossRef] [PubMed]
  46. Shaw, F.M.; Luk, K.M.H.; Chen, K.H.; Wrenn, G.; Chen, S.C. Racial disparities in the impact of chronic pruritus: A cross-sectional study on quality of life and resource utilization in United States veterans. J. Am. Acad. Dermatol. 2017, 77, 63–69. [Google Scholar] [CrossRef]
  47. Weinstock, M.A.; Horm, J.W. Mycosis fungoides in the United States. Increasing incidence and descriptive epidemiology. JAMA 1988, 260, 42–46. [Google Scholar] [CrossRef] [PubMed]
  48. Gandham, A.R.; Geller, S.; Dusza, S.W.; Kupper, T.S.; Myskowski, P.L. Racial Disparities in Mycosis Fungoides/Sézary Syndrome-A Single-Center Observational Study of 292 Patients. Clin. Lymphoma Myeloma Leuk. 2024, 24, e174–e180. [Google Scholar] [CrossRef]
  49. Carr, C.W.; Veledar, E.; Chen, S.C. Factors mediating the impact of chronic pruritus on quality of life. JAMA Dermatol. 2014, 150, 613–620. [Google Scholar] [CrossRef]
  50. Abraham, J.; Wei, G.; Desai, S.R.; Chen, P.L.; Seminario-Vidal, L. Perspectives on and Quality of Life in Skin of Color Patients With Mycosis Fungoides/Sézary Syndrome: A Qualitative Analysis. Cureus 2023, 15, e34054. [Google Scholar] [CrossRef] [PubMed]
  51. Su, C.; Nguyen, K.A.; Bai, H.X.; Cao, Y.; Tao, Y.; Xiao, R.; Karakousis, G.; Zhang, P.J.; Zhang, G. Racial disparity in mycosis fungoides: An analysis of 4495 cases from the US National Cancer Database. J. Am. Acad. Dermatol. 2017, 77, 497–502.e2. [Google Scholar] [CrossRef]
  52. Behbahani, S.; Yeh, C.J.; Fernandez, J.M.; Chen, S.T. Gender differences in clinical presentation, treatment, and outcomes in mycosis fungoides. J. Am. Acad. Dermatol. 2022, 86, 174–177. [Google Scholar] [CrossRef]
  53. Horesh, N.; Horowitz, N.A. Does gender matter in non-hodgkin lymphoma? Differences in epidemiology, clinical behavior, and therapy. Rambam Maimonides Med. J. 2014, 5, e0038. [Google Scholar] [CrossRef]
  54. Chalaka, C.W.; Mahurin, H.M.; Tarabadkar, E.; Hippe, D.S.; Loggers, E.T.; Shinohara, M.M. Gender disparities in health-related quality of life (HRQoL) in patients with cutaneous T-cell lymphoma. Int. J. Women’s Dermatol. 2023, 9, e085. [Google Scholar] [CrossRef] [PubMed]
  55. Molloy, K.; Jonak, C.; Woei-A-Jin, F.J.S.H.; Guenova, E.; Busschots, A.M.; Bervoets, A.; Hauben, E.; Knobler, R.; Porkert, S.; Fassnacht, C.; et al. Characteristics associated with significantly worse quality of life in mycosis fungoides/Sézary syndrome from the Prospective Cutaneous Lymphoma International Prognostic Index (PROCLIPI) study. Br. J. Dermatol. 2020, 182, 770–779. [Google Scholar] [CrossRef] [PubMed]
  56. Jung, S.; Lee, S.M.; Suh, D.; Shin, H.T.; Suh, D.C. The association of socioeconomic and clinical characteristics with health-related quality of life in patients with psoriasis: A cross-sectional study. Health Qual. Life Outcomes 2018, 16, 180. [Google Scholar] [CrossRef] [PubMed]
  57. Holm, J.G.; Agner, T.; Clausen, M.L.; Thomsen, S.F. Quality of life and disease severity in patients with atopic dermatitis. J. Eur. Acad. Dermatol. Venereol. 2016, 30, 1760–1767. [Google Scholar] [CrossRef] [PubMed]
  58. Groarke, A.; Curtis, R.; Coughlan, R.; Gsel, A. The impact of illness representations and disease activity on adjustment in women with rheumatoid arthritis: A longitudinal study. Psychol. Health 2005, 20, 597–613. [Google Scholar] [CrossRef]
  59. Wittkowski, A.; Richards, H.L.; Griffiths, C.E.; Main, C.J. Illness perception in individuals with atopic dermatitis. Psychol. Health Med. 2007, 12, 433–444. [Google Scholar] [CrossRef] [PubMed]
  60. Selman, L.E.; Beynon, T.; Radcliffe, E.; Whittaker, S.; Orlowska, D.; Child, F.; Harding, R. ‘We’re all carrying a burden that we’re not sharing’: A qualitative study of the impact of cutaneous T-cell lymphoma on the family. Br. J. Dermatol. 2015, 172, 1581–1592. [Google Scholar] [CrossRef]
  61. Basra, M.K.; Finlay, A.Y. The family impact of skin diseases: The Greater Patient concept. Br. J. Dermatol. 2007, 156, 929–937. [Google Scholar] [CrossRef]
Table 1. Staging criteria for MF/SS.
Table 1. Staging criteria for MF/SS.
Clinical StageT (Skin)N (Node)M (Visceral)B (Blood Involvement)
IA
Limited skin involvement
T1
Patches, papules, and/or plaques on <10% BSA
N0M0B0-1
IB
Skin-only disease
T2
Patches, papules, and/or plaques covering ≥ 10% BSA
N0M0B0-1
IIAT1-2N1-2M0B0-1
IIB
Tumor-stage disease
T3
At least 1 tumor ≥ 1 cm in diameter
N0-2M0B0-1
IIIA
Erythrodermic disease
T4
Confluence of erythema ≥ 80% BSA
N0-2M0B0
≤5% atypical lymphocytes in peripheral blood
IIIB
Erythrodermic disease
T4
Confluence of erythema ≥ 80% BSA
N0-2M0B1
Low tumor burden
>5% atypical lymphocytes in peripheral blood
IVA1T1-4N0-2M0B2
High tumor burden
IVA2T1-4N3M0B0-2
IVBT1-4N0-3M1B0-2
Large cell transformation
Adapted from Olsen et al. 2011 and 2022 [2,3]. BSA: body surface area; cm: centimeter.
Table 2. Common MF/SS treatments and adverse effects.
Table 2. Common MF/SS treatments and adverse effects.
Systemic TreatmentMechanism of ActionAdverse Effects
AlemtuzumabAnti-CD52 monoclonal antibodyInjection site reactions, cytopenias
BexaroteneRetinoidHypertriglyceridemia, hypothyroidism, rash, headache, neutropenia
Brentuximab vedotinAnti-CD30 monoclonal antibodyNeuropathy, nausea, fatigue, diarrhea
Extracorporeal photopheresisRadiation-induced apoptosisAnemia, hypotension, thrombocytopenia
GemcitabineNucleoside analogNausea, vomiting, flu-like symptoms
InterferonCytokine-induced signalingFlu-like symptoms
Liposomal doxorubicinTargeted stabilization of topoisomerase II within cancer cellsLymphopenia, hand–foot syndrome
MethotrexateInhibits dihydrofolate reductaseCytopenias, liver disease
MogamulizumabAnti-CCR4Infusion-related reactions, diarrhea, fatigue, mogamulizumab-associated rash
PembrolizumabAnti-PD-1Dermatitis, colitis, hypothyroidism
PralatrexateFolate analogMucositis, fatigue, nausea, fluid retention
RomidepsinHDAC inhibitorDysguesia, nausea, fatigue, thrombocytopenia, anemia
VorinostatHDAC inhibitorDiarrhea, fatigue, nausea, deep venous thrombosis
Table 3. Domains addressed by select QOL questionnaires in CTCL.
Table 3. Domains addressed by select QOL questionnaires in CTCL.
DomainSkinDexFACT-GMF/SS-CTCL QOL
Nausea X
Pain X
Treatment side effects XX
Feel ill X
Spend time in bed X
Feel close to friends/interactions with others XX
Sexual health X
Feel sad or nervous XX
Coping with my illness XX
Losing hope XX
Worry about dying X
Able to work/affect daily activity XX
Sleeping well X
ItchingX
Burning/stingingX
Able to enjoy activities X
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Brazel, D.; Larocca, C.; Shinohara, M.M. Assessing Health-Related Quality of Life in Mycosis Fungoides and Sézary Syndrome: Unmet Needs. Cancers 2024, 16, 2757. https://doi.org/10.3390/cancers16152757

AMA Style

Brazel D, Larocca C, Shinohara MM. Assessing Health-Related Quality of Life in Mycosis Fungoides and Sézary Syndrome: Unmet Needs. Cancers. 2024; 16(15):2757. https://doi.org/10.3390/cancers16152757

Chicago/Turabian Style

Brazel, Danielle, Cecilia Larocca, and Michi M. Shinohara. 2024. "Assessing Health-Related Quality of Life in Mycosis Fungoides and Sézary Syndrome: Unmet Needs" Cancers 16, no. 15: 2757. https://doi.org/10.3390/cancers16152757

APA Style

Brazel, D., Larocca, C., & Shinohara, M. M. (2024). Assessing Health-Related Quality of Life in Mycosis Fungoides and Sézary Syndrome: Unmet Needs. Cancers, 16(15), 2757. https://doi.org/10.3390/cancers16152757

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop