Erythroderma: psoriasis or lymphoma? A diagnostic challenge and therapeutic pitfall

BACKGROUND

Psoriasis and lymphoma risk is widely debated, but few is known about misdiagnosis risk between erythrodermic psoriasis and lymphoma . In fact erythroderma might represent a clinical presentation of psoriasis, cutaneous T cell lymphomas and skin dissemination of systemic lymphomas.

METHODS

All patients referred to psoriasis outpatient service with a diagnosis of erythrodermic psoriasis were re-examined. Among them, all the patients with a subsequent lymphoma diagnosis were included. For each patient data concerning age, gender, age at erythroderma onset, age at lymphoma diagnosis, immune-suppressive therapy, type of lymphoma and relative stage, lymphoma treatment and outcome were obtained.

RESULTS

Twenty-five patients (15 females and 10 males) with a diagnosis of erythrodermic psoriasis were retrieved. Among them, 9 patients (5 males and 4 females) were affected by erythrodermic lymphoma, including 4 patients with Sèzary syndrome, 3 with mycosis fungoides, and 2 with peripheral T-cell lymphoma not otherwise specified. Prior to lymphoma diagnosis all the patients (9/9) received cyclosporine, two (2/9) of them methotrexate, one (1/9) azatioprine, and two (2/9) systemic corticosteroids. The prognosis of our patients was poor, due to immune-suppressive drugs administration in patients with undiagnosed lymphoma. The only exception was one (1/9) patient with Sèzary syndrome still alive with disease after 120 months of follow up.

CONCLUSIONS

In case of patients with erythroderma, multiple skin biopsies and specific peripheral blood studies like flow cytometry and T-cell receptor gene rearrangement analysis are required in order to avoid misdiagnosis risk between psoriasis and lymphoma.

Accelerated, untargeted metabolomics analysis of cutaneous T-cell lymphoma reveals metabolic shifts in plasma and tumor adjacent skins of xenograft mice

Cutaneous T-cell lymphoma (CTCL) is a heterogeneous group of skin-homing T-cell neoplasms. Clinical management is stage based but diagnosis and prognosis could be extremely challenging. The presented study aims to explore the metabolic profiling of CTCL by an accelerated untargeted metabolomics data analysis tool "Mummichog" to facilitate the discoveries of potential biomarkers for clinical early stage diagnosis, prognosis, and treatments in CTCL. Ultra high-performance liquid chromatography-quadrupole time-of-flight-based untargeted metabolomics were conducted on the skin and plasma of CTCL mice. It showed that the metabolism of skin changed greatly versus control samples in the development of CTCL. Increased l-glutamate and decreased adenosine monophosphate were the most essential metabolic features of CTCL tumor and tumor adjacent skins. Unique metabolism changes in tumor adjacent non-involved skin tissues (ANIT) occurred in the progress of carcinogenesis, including upregulated cytidine-5'-triphosphate, aberrant biosynthesis of prostaglandins, pyrimidine, mevalonate pathway, and tryptophan degradation. Sharply elevated 5-phospho-α-d-ribose 1-diphosphate (PRPP) marked the final state of tumor in CTCL. In the plasma, systematic shifts in corticosterone, sphingolipid, and ceramide metabolism were found. These uncovered aberrant metabolites and metabolic pathways suggested that the metabolic reprogramming of PRPP in tumor tissues may cause the disturbance of cytidine and uridine metabolic homeostasis in ANIT. Accumulative cytidine-5'-triphosphate in ANIT may exert positive feedback on the PRPP level and leads to CTCL further development. In addition, the accelerated data analysis tool "Mummichog" showed good practicability and can be widely used in high-resolution liquid chromatography mass spectrometry-based untargeted metabolomics.

High-frequency ultrasonography-New non-invasive method in assessment of skin lymphomas

BACKGROUND

Mycosis fingoides (MF) is the most common subtype of primary cutaneous T-cell lymphomas. Current evaluation of disease extent and severity is based on mSWAT scoring system, which seems to be relatively subjective. The aim of this subject was to present the usefulness of 20 MHz in objective 5-year long monitoring of response to therapy in MF patients.

MATERIALS AND METHODS

The 5-years long follow-up based on 19 skin USG images of patients diagnosed as early stages of MF was studied. The assessed USG parameter was the mean diameter of subepidermal low echogenic band (SLEB).

RESULTS

In every MF patient during exacerbation within lesional skin we could observe SLEB, which thinning or complete disappearance was detected after finishing the therapy. Lack of complete absence of SLEB was related to the lack of complete remission assessed by mSWAT.

CONCLUSION

We present for the first time the possibility of monitoring patients' clinical state on the base of non-invasive USG imaging. We recommend additional use of 20 MHz USG to reduce intra-observer variability and to assess residual disease. USG imaging can complement evaluation of skin lesions in MF and can support clinical judgement.

Approach to Cutaneous Lymphoid Infiltrates: When to Consider Lymphoma?

Cutaneous lymphoid infiltrates (CLIs) are common in routine dermatopathology. However, differentiating a reactive CLI from a malignant lymphocytic infiltrate is often a significant challenge since many inflammatory dermatoses can clinically and/or histopathologically mimic cutaneous lymphomas, coined pseudolymphomas. We conducted a literature review from 1966 to July 1, 2015, at PubMed.gov using the search terms: Cutaneous lymphoma, cutaneous pseudolymphoma, cutaneous lymphoid hyperplasia, simulants/mimics/imitators of cutaneous lymphomas, and cutaneous lymphoid infiltrates. The diagnostic approach to CLIs and the most common differential imitators of lymphoma is discussed herein based on six predominant morphologic and immunophenotypic, histopathologic patterns: (1) Superficial dermal T-cell infiltrates (2) superficial and deep dermal perivascular and/or nodular natural killer/T-cell infiltrates (3) pan-dermal diffuse T-cell infiltrates (4) panniculitic T-cell infiltrates (5) small cell predominant B-cell infiltrates, and (6) large-cell predominant B-cell infiltrates. Since no single histopathological feature is sufficient to discern between a benign and a malignant CLI, the overall balance of clinical, histopathological, immunophenotypic, and molecular features should be considered carefully to establish a diagnosis. Despite advances in ancillary studies such as immunohistochemistry and molecular clonality, these studies often display specificity and sensitivity limitations. Therefore, proper clinicopathological correlation still remains the gold standard for the precise diagnosis of CLIs.