Abstract
Background
Cutaneous lymphomas (CLs) are rare neoplastic skin disorders, primarily of T‐cell origin. Since the widespread rollout of SARS‐CoV‐2 vaccines, several cases of CLs and non‐neoplastic lymphoproliferative disorders (nn‐LPDs) temporally associated with vaccination have been reported, raising concerns about a potential immunologic link.
Objective
To systematically review the literature on cases of CLs and related nn‐LPDs occurring after COVID‐19 vaccination, focusing on clinical features, subtype distribution, latency to onset, and proposed pathophysiological mechanisms.
Methods
A systematic review was conducted according to PRISMA guidelines. Case reports and series describing new‐onset or relapsed CLs or nn‐LPDs temporally following SARS‐CoV‐2 vaccination were included. Demographic, clinical, histological, therapeutic and temporal data were extracted and analysed.
Results
Fifteen manuscripts encompassing 35 cases met the inclusion criteria. Eighteen (51.4%) were histologically confirmed CLs, most commonly lymphomatoid papulosis (n = 9), followed by Sézary syndrome (n = 3) and mycosis fungoides (n = 2). The remaining 17 cases (48.6%) were classified as nn‐LPDs, including cutaneous lymphoid hyperplasia, lymphomatoid reactions and CD4+ small/medium T‐cell lymphoproliferative disorders. CD30 positivity was noted in 76.2% of the cases with available immunophenotyping. Most patients (80%) received the BNT162b2 (Pfizer–BioNTech) vaccine. In the 17 new‐onset CLs, time to onset ranged from 3 to 42 days, with most cases clustering within 14 days.
Conclusions
Most of the cases were low‐grade T‐cell CLs and nn‐LPDs. Although a causal relationship cannot be established, the short latency observed in many new‐onset cases raises the possibility that some patients may have harboured an undiagnosed disease, with vaccination acting as a trigger for clinical manifestation or for raised awareness. These findings support indeed the need for continued pharmacovigilance among clinicians, especially in patients with prior or latent lymphoproliferative conditions. Nevertheless, these extremely rare and indolent events should not alter the overall favourable risk–benefit profile of COVID‐19 vaccination.
Keywords: CD30, lymphoma, skin, T cells, vaccination
1. Introduction
The rapid deployment of COVID‐19 vaccines has been a pivotal achievement in controlling the global pandemic, significantly reducing the severity of disease and mortality. However, as with any large‐scale medical intervention, widespread vaccination has led to the emergence of rare adverse events, necessitating further investigation. Among these, primary cutaneous lymphoid proliferations (PCLPs), which include cutaneous lymphomas (CLs) and non‐neoplastic lymphoproliferative disorders (nn‐LPDs)—a heterogeneous group of skin‐dominant lymphoproliferative disorders—have been reported in temporal association with vaccination, raising questions about the potential immunological mechanisms involved [1–4]. Regardless of their platform, all vaccines are designed to stimulate the immune system to confer protection against infectious diseases. While generally well tolerated, vaccination can lead to various unintended immune responses, including allergic, inflammatory and systemic adverse events.
Hypersensitivity reactions, including anaphylaxis and delayed cutaneous eruptions, have been reported following COVID‐19 vaccination, particularly with mRNA vaccines due to excipients, such as polyethylene glycol. Inflammatory and autoimmune manifestations have also emerged, with cases of myocarditis, immune thrombocytopenia, vasculitis and vaccine‐induced thrombotic thrombocytopenia associated with both mRNA and adenoviral vector‐based vaccines [5–8].
Additionally, vaccine‐driven cytokine release has been implicated in systemic symptoms, such as fever, myalgia and fatigue, while rare cases of multisystem inflammatory syndrome and de novo autoimmune conditions have also been documented [9, 10]. Within the dermatologic spectrum, a broad array of cutaneous adverse events has been observed postvaccination, ranging from localized erythema and induration at the injection site to widespread morbilliform eruptions, urticaria, livedo reticularis and erythema multiforme‐like presentations [11–13]. More severe reactions, including Stevens–Johnson syndrome, toxic epidermal necrolysis and autoimmune bullous dermatoses, have been described, albeit rarely [14–16]. Moreover, vaccination appears to influence pre‐existing dermatologic conditions, with exacerbations reported in psoriasis, atopic dermatitis, lichen planus and chronic urticaria [17–21].
The ability of SARS‐CoV‐2 vaccines—particularly mRNA‐based platforms—to elicit potent immune responses has raised discussion about how transient immune activation might interact with latent or indolent lymphoproliferative conditions, in susceptible individuals. CLs represent a heterogeneous group of extranodal non‐Hodgkin lymphomas, primarily comprising cutaneous T‐cell lymphomas (CTCLs), with cutaneous B‐cell lymphomas (CBCLs) accounting for a smaller fraction [22–24]. Among CTCLs, lymphomatoid papulosis (LyP) and primary cutaneous CD30+ lymphoproliferative disorders often follow an indolent clinical course. In contrast, others—such as Sézary syndrome (SS) and primary cutaneous γ/δ T‐cell lymphoma—are characterized by aggressive behaviour and poor prognosis [25–27]. Mycosis fungoides (MF), the most common CTCL subtype, spans a broad clinical spectrum, ranging from slowly progressive early stages to more advanced, treatment‐refractory forms [28–31].
The pathogenesis of CLs is multifactorial, involving chronic antigenic stimulation, genetic susceptibility and immune dysregulation within the skin‐homing T‐cell compartment [32–34]. In this context, vaccine‐induced immune activation may precipitate unmasking subclinical disease or exacerbate pre‐existing lymphoproliferative clones, particularly in immunologically predisposed individuals [35], through several nonmutually exclusive mechanisms. First, innate priming and type I interferon burst, as mRNA–lipid nanoparticles and other platform components, have the capacity of activating TLR7/8 and related sensors, inducing type I IFN and an early cytokine pulse (e.g., IL‐6 and TNF‐α) that amplifies antigen presentation and T‐cell costimulation. In predisposed individuals, this ‘danger signal’ could unmask subclinical clones by increasing their activation/survival signals.
Also, bystander T‐cell activation and homeostatic proliferation could act in the pathogenic mechanism, as the vaccine‐driven cytokine milieu (IL‐2, IL‐7 and IL‐15) supports bystander expansion of memory/effector skin‐tropic T cells (CLA+, CCR4/CCR10+). If a pre‐existing cutaneous clone is present, it may expand transiently, translating into new lesions or relapse without implying de novo oncogenesis.
Moreover, CD30 pathway and NF‐κB signalling in indolent CTCLs, as in CD30‐positive disorders (LyP/pcALCL spectrum), inflammatory cytokines and costimulatory inputs, can upmodulate CD30 and downstream pathways (NF‐κB, JAK/STAT), fostering short‐latency flares that typically recede as systemic activation wanes—consistent with a ‘trigger rather than initiator’ model.
Finally, trafficking and microenvironmental cues, as vaccination reshapes chemokine gradients and adhesion dynamics, potentially increase skin homing of activated T cells and amplify local cytokine cross‐talk with keratinocytes and dendritic cells; this favours temporary clinical expression of disease in patients with pre‐existing clonal T‐cell populations.
This review critically examines the current evidence linking COVID‐19 vaccination to the onset or relapse of PCLPs, with a focus on CTCLs, discusses proposed immunopathological mechanisms and explores implications for clinical surveillance and vaccine safety. Clarifying whether these associations reflect causal mechanisms or temporal coincidences is essential to support both informed patient management and continued public confidence in vaccination strategies.
2. Material and Methods
2.1. Search Strategy and Study Selection
This review followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines [36]. A comprehensive search was performed in PubMed/MEDLINE, Scopus and Web of Science databases using the following Boolean keyword combinations:
(“cutaneous lymphoma” OR “lymphoproliferative disorders”) AND (“COVID‐19 vaccination” OR “SARS‐CoV‐2 vaccination”). The last search was completed on 06 March 2026. No initial restrictions were applied regarding publication language, year, journal type or geographical origin. Filters were applied after full‐text screening.
Articles were selected by two reviewers independently, who screened titles and/or abstracts and then full texts against prespecified inclusion/exclusion criteria. Disagreements were resolved by discussion or, when needed, by a third reviewer. They elected articles if they reported: cases of new‐onset or CLs recurrences exacerbated by COVID‐19 vaccination; included definitive diagnoses based on histopathology; detailed patient demographics, vaccine type and clinical outcomes. We did not restrict by study design (case reports/series, observational studies, trials) with the exception of reviews and editorials.
Exclusion criteria were as follows: (1) review articles; (2) articles not written in English; (3) patients under 18 years; (4) lymphomas not primarily cutaneous; (5) cases lacking histopathological confirmation; and (6) duplicate reports.
2.2. Data Extraction and Synthesis
The following information was collected: first author, journal of publication, article title and year of publication. Data extracted included: (a) author, title, journal, year of publication; (b) patient demographics (age at clinical onset/relapse temporally associated with vaccination and gender); (c) type of lymphoma and subtype; (d) vaccine type and timing; (e) latency period (days to onset); (f) clinical manifestations; (g) therapeutic approach; and (h) outcomes (resolution, relapse, death and cause of death).
3. Results
A total of 35 cases of cutaneous lymphoproliferative disorders temporally associated with COVID‐19 vaccination were identified across 32 publications, after removing 11 duplicates from an initial set of 43 articles. After title and abstract screening and full‐text assessment, 15 studies met the inclusion criteria and were included in the final analysis (Figure 1) [37–50, 67]. Of note, all eligible studies were case reports/series; no cohort or interventional study met criteria. The full database‐specific search strings and retrieval counts are provided in Appendix S1 (Supporting Information).
FIGURE 1.

Flow diagram of the study according to PRISMA.
3.1. Demographic Data and Clinical Profile
Among the 35 reported cases, 22 patients were male (62.8%), while 13 were female (37.2%). The median age at onset was 58 years, ranging from 18 to 80 years. Twenty‐four cases (68.6%) were classified as new‐onset disease temporally following vaccination, while the remaining 11 (31.4%) represented relapses of previously diagnosed lymphomas (Table 1).
TABLE 1.
Summary of published cutaneous lymphoproliferative disorders temporally associated with SARS‐CoV‐2 (COVID‐19) vaccination (n = 35).
| Cases | 35 | (%) |
| Gender | Males 62.8 | |
| Age: median (range) | 58 years (20–80) | |
| Non-neoplastic lymphoproliferative disorders | ||
| CLH | 6 (35.3) | |
| Lymphomatoid reactions | 5 (29.4) | |
| PCSM‐TCLPD ∗ | 5 (29.4) | |
| PCMZLPD | 1 (5.9) | |
| Cutaneous lymphomas | 18 (68.6%) | |
| LyP | 9 (50.0) | |
| SS | 3 (16.7) | |
| MF | 2 (11.2) | |
| Others | 4 (22.1) | |
| Vaccine types | ||
| Pfizer–BioNTech (mRNA) | 28 cases (80) | |
| Moderna (mRNA) | 3 cases (8.6) | |
| AstraZeneca | 4 cases (11.4) | |
Note: The table reports demographic characteristics, diagnostic categories/subtypes and vaccine platforms/types for the cases included in this review. CD30‐positive lymphoproliferative disorders include entities within the spectrum of primary cutaneous CD30‐positive T‐cell lymphoproliferative disorders (e.g., LyP and pcALCL) and CD30‐positive large‐cell transformation when specified. PCMZLPD = primary cutaneous marginal zone lymphoproliferative disorder.
Abbreviations: CLH = cutaneous lymphoid hyperplasia, MF = mycosis fungoides, mRNA = messenger RNA, pcALCL = primary cutaneous anaplastic large‐cell lymphoma, SS = Sézary syndrome.
∗The case originally reported as PC‐SMPTCL was reclassified as PCSM‐TCLPD according to current WHO–EORTC classification recommendations. LyP, lymphomatoid papulosis; PCSM‐TCLPD, primary cutaneous CD4+ small/medium T‐cell lymphoproliferative disorder.
3.2. Diagnostic Classification
Of the 35 cases included, 18 (51.4%) were classified as CLs and 17 (48.6%) as nn‐LPDs. Within the CL group, the most frequently reported entity was LyP (n = 9, 50.0%), followed by SS (n = 3, 16.7%) and MF (11.2%). The remaining four cases (22.1%) included one each of primary cutaneous γ/δ T‐cell lymphoma (PCGDTCL) and primary cutaneous anaplastic large‐cell lymphoma (pcALCL), and one case described as primary cutaneous CD30+ lymphoproliferative disorder (PCCD30‐LPD), which was not further subclassified. While the latter falls within the CD30+ spectrum, the lack of precise histological distinction between LyP and pcALCL warranted its temporary inclusion in the CL group.
Among cases with available immunophenotyping (n = 21), CD30 positivity was detected in 16 (76.2%) and clustered within indolent entities, predominantly LyP (and pcALCL where specified), whereas aggressive CTCLs (e.g., SS and pcGDTCL) were generally CD30‐negative or not reported. This distribution supports the association between indolent clinical course and CD30 expression in our dataset (see Table 2).
TABLE 2.
Published cases of cutaneous lymphoproliferative disorders temporally associated with SARS‐CoV‐2 (COVID‐19) vaccination.
| Title | Authors | Year of publication | Gender | Age | New onset/relapse | Subtype | CD30 +/− or NR | Vaccine | Nr of doses | Time to onset | Clinical manifestation | Therapy | Resolution yes/no | Death? yes/no | Disease‐related death yes/no | CLs or nn‐LPDs |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary Cutaneous CD4 Small/Medium T‐Cell Lymphoproliferative Disorder Following COVID‐19 Vaccination—What Do We Know About Lymphoproliferative Disorders And Cutaneous Lymphomas After COVID‐19 Vaccination? A Report Of An Atypical Case And A Review Of The Literature | Francisco Javier De La Torre‐Gomar Et Al. [43] | 2024 | Male | 30 | New onset | PCSM‐TCLPD | — | BNT162b2®, Pfizer/BioNTech | 1 | 7 days | Nodules and papules | Triamcinolone acetonide intralesional 40 mg/mL | Yes | No | No | nn‐LPDs |
| Recurrence Of Primary Cutaneous CD30‐Positive Lymphoproliferative Disorder Following COVID‐19 Vaccination | Brumfiel Et Al. [48] | 2021 | Male | 79 | Relapse | PCCD30‐LPD | + | BNT162b2®, Pfizer/BioNTech | 1 | 2 days | Ulcerated tumour | Spontaneous regression | Yes | No | No | CLs |
| Recurrence Of Cutaneous T‐Cell Lymphoma Postviral Vector COVID‐19 Vaccination | Panou Et Al. [47] | 2022 | Male | 60 | Relapse | CD30LCT‐MF | + | Chadox1 Ncov‐19 | 1 | 28 days | Patches, alopecia, rash and nodules | Not available | Yes | No | No | CLs |
| Female | 73 | Relapse | Lyp Type‐A | + | Chadox1 Ncov‐19 | 1 | 10 days | Rash | PUVA | Yes | No | No | CLs | |||
| Lymphomatoid Papulosis (Lyp) After AZD1222 And Bnt162b2 COVID‐19 Vaccines | Koumaki Et Al. [40] | 2022 | Male | 60 | New onset | Lyp type‐D | + | Chadox1 Ncov‐19 | 1 | 7 days | Ulcerated nodule | Spontaneous regression | Yes | No | No | CLs |
| Female | 66 | New onset | Lyp type‐D | + | BNT162b2®, Pfizer/BioNTech | 1 | 10 days | Nodules | NB‐UVB firstly and then methotrexate | No | No | No | CLs | |||
| Cutaneous T‐Cell–Rich Lymphoid Infiltrates After SARS‐CoV‐2 Vaccination | Hooper Et Al. [39] | 2022 | Female | 70 | New onset | CLH | + | BNT162b2®, Pfizer/BioNTech | 1 | 22 days | Single papule | Surgical excision | Yes | No | No | nn‐LPDs |
| Male | 50 | New onset | CLH | + | BNT162b2®, Pfizer/BioNTech | 2 | 28 days | Single papule | Spontaneous regression | Yes | No | No | nn‐LPDs | |||
| Male | 50 | New onset | Lyp type‐A | + | BNT162b2®, Pfizer/BioNTech | 2 | 4 days | Papules | Methotrexate | No | No | No | CLs | |||
| Female | 20 | New onset | Lyp type‐A | + | BNT162b2®, Pfizer/BioNTech | 1 | 42 days | Papules | Methotrexate | No | No | No | CLs | |||
| SARS‐CoV‐2 mRNA Vaccine Injection Site Pseudolymphoma | Mintoff Et Al. [49] | 2021 | Female | 68 | New onset | CLH | NR | BNT162b2®, Pfizer/BioNTech | 2 | 7 days | Single nodule | Spontaneous regression | Not available | No | No | nn‐LPDs |
| Real‐World Data On Primary Cutaneous Lymphoproliferative Disorders Following SARS‐CoV‐2 Vaccination: A Multicentre Experience From Tertiary Referral Hospitals | Avallone Et Al. [45] | 2022 | Female | 47 | Relapse | CLH | NR | BNT162b2®, Pfizer/BioNTech | 2 | 10 days | Erythematous plaques | Topical corticosteroids | Yes | No | No | nn‐LPDs |
| Male | 67 | Relapse | Lyp type‐A | + | BNT162b2®, Pfizer/BioNTech | 4 | 15 days | Necrotic papules | Methotrexate | Yes | No | No | CLs | |||
| Male | 49 | Relapse | PCSM‐TCLPD | — | BNT162b2®, Pfizer/BioNTech | 4 | 15 days | Erythematous plaques | Spontaneous regression firstly and then mogamulizumab | Yes | No | No | nn‐LPDs | |||
| Male | 58 | Relapse | SS | — | BNT162b2®, Pfizer/BioNTech | 4 | 4 days | Erythroderma | Topical corticosteroids | Yes with mogamulizumab | No | No | CLs | |||
| Male | 61 | Relapse | MF | NR | BNT162b2®, Pfizer/BioNTech | 4 | 14 days | Erythroderma | Oral corticosteroids firstly and then PUVA | Yes with PUVA | No | No | CLs | |||
| Male | 61 | Relapse | SS | — | BNT162b2®, Pfizer/BioNTech | 4 | 15 days | Suberythroderma | Not available | Not available | No | No | CLs | |||
| Male | 55 | New onset | CLH | NR | BNT162b2®, Pfizer/BioNTech | 4 | 30 days | Erythematous plaques | Not available | Not available | No | No | nn‐LPDs | |||
| Male | 55 | New onset | CLH | NR | BNT162b2®, Pfizer/BioNTech | 2 | 7 days | Erythematous plaques | Not available | Not available | No | No | nn‐LPDs | |||
| Female | 80 | New onset | SS | — | BNT162b2®, Pfizer/BioNTech | 4 | 15 days | Erythroderma | Not available | Not available | No | No | CLs | |||
| Male | 60 | New onset | Lyp type‐A | + | BNT162b2®, Pfizer/BioNTech | 2 | 30 days | Erythematous papules | Not available | Not available | No | No | nn‐LPDs | |||
| Female | 52 | New onset | PCSM‐TCLPD | — | BNT162b2®, Pfizer/BioNTech | 2 | 3 days | Erythematous nodule | Radiotherapy | Yes | No | No | nn‐LPDs | |||
| Female | 61 | New onset | Lyp type‐A | + | BNT162b2®, Pfizer/BioNTech | 2 | 10 days | Erythematous vesicles and pustules | Spontaneous regression | Yes | No | No | CLs | |||
| Male | 45 | New onset | PCSM‐TCLPD | — | BNT162b2®, Pfizer/BioNTech | 4 | 20 days | Single nodule | Surgical excision | Yes | No | No | nn‐LPDs | |||
| Indolent Cutaneous Lymphoma With Gamma/Delta Expression After COVID‐19 Vaccination | Hobayan and Chung [51] | 2023 | Male | 79 | New onset | PCGDTCL | — | Moderna COVID‐19 mRNA‐1273 | 2 | 3 days | Ulcerated plaque | Doxycycline firstly and then radiotherapy | Yes with radiotherapy | No | No | CLs |
| Primary Cutaneous Marginal Zone Lymphoproliferative Disorder Following COVID‐19 Vaccination | Stephan Et Al. [44] | 2024 | Male | 57 | New onset | PCMZLPD | NR | Moderna COVID‐19 mRNA‐1273 | 1 | 14 days | Single nodule | Radiotherapy | Yes | No | No | nn‐LPDs |
| Cutaneous Lymphoproliferative Disorders After COVID‐19 Vaccination: Clinical Presentation, Histopathology And Outcomes | Gordon Et Al. [38] | 2024 | Male | 18 | New onset | Lyp type‐C | + | BNT162b2®, Pfizer/BioNTech | 2 | 30 days | Papules and nodules | Methotrexate | Yes | No | No | CLs |
| Male | 35 | New onset | PC‐SMPTCL | — | BNT162b2®, Pfizer/BioNTech | 1 | 7 days | Nodule | Spontaneous regression | Yes | No | No | CLs | |||
| Two Cases Of Challenging Cutaneous Lymphoid Infiltrates Presenting In The Context Of COVID‐19 Vaccination: A Reactive Lymphomatoid Papulosis‐Like Eruption And A Bona Fide Lymphoma | Bresler Et Al. [50] | 2023 | Male | 53 | New onset | Lymphomatoid reaction, | + | Moderna COVID‐19 mRNA‐1273 | 1 | 7 days | Papules and nodules | Spontaneous regression | Yes | No | No | nn‐LPDs |
| Female | 62 | New onset | Lymphomatoid reaction, | + | BNT162b2®, Pfizer/BioNTech | 2 | Several | Macules | Spontaneous regression then relapse treated with chemotherapy | No | No | No | nn‐LPDs | |||
| Complete Remission Of Primary Cutaneous Follicle Centre Cell Lymphoma Associated With COVID‐19 Vaccine | Aouali Et Al. [37] | 2022 | Male | 63 | Relapse | PCBCL | — | Chadox1 Ncov‐19 | 1 | 60 days | Nodule | Spontaneous regression | Yes | Not available | Not available | CLs |
| Primary Cutaneous Anaplastic Large‐Cell Lymphoma With Marked Spontaneous Regression Of Organ Manifestation After SARS‐CoV‐2 Vaccination. | Gambichler Et Al. [42] | 2021 | Male | 57 | Relapse | pcALCL | + | BNT162b2®, Pfizer/BioNTech | 1 | 7 days | Nodules | Spontaneous regression | Yes | Not available | Not available | CLs |
| New Mycosis Fungoides‐Like Lymphomatoid Reaction Following COVID‐19 Vaccination: A Case Report. | Li and Lipson. [41] | 2022 | Female | 56 | New onset | Lymphomatoid reaction | NR | BNT162b2®, Pfizer/BioNTech | 1 | 2 days | Patches | Topical corticosteroids | Yes | Not available | Not available | nn‐LPDs |
| Rare Lymphomatoid Reactions Following SARS‐CoV‐2 Vaccination. | Lewitt Et Al. [46] | 2022 | Female | 54 | New onset | Lymphomatoid reaction and PLEVA | + | BNT162b2®, Pfizer/BioNTech | 1 | 7 days | Papules | Doxycycline | Yes | Not available | Not available | nn‐LPDs |
| Female | 78 | New onset | Lymphomatoid reaction | + | BNT162b2®, Pfizer/BioNTech | 2 | Few | Papule | Not available | Not available | Not available | Not available | nn‐LPDs | |||
Note: The table summarizes demographic data, clinical presentation, diagnostic category/subtype, vaccine type (and dose when reported), latency from vaccination to clinical onset/relapse, treatment and outcome. Latency was defined as the interval between vaccine administration and clinical onset/relapse as reported in the original article. When the onset date was not explicitly available, the closest clinically relevant time point provided by the authors (e.g., first clinical assessment or biopsy) was used and specified accordingly. NR, not reported. Percentages and ranges were calculated on available data. PCSM‐TCLPD, primary cutaneous small/medium T‐cell lymphoproliferative disorder; PCCD30‐LPD, primary cutaneous CD30‐positive lymphoproliferative disorder; CD30LCT‐MF, CD30‐positive large‐cell transformation of mycosis fungoides; LyP, lymphomatoid papulosis. PCMZLPD = primary cutaneous marginal zone lymphoproliferative disorder.
Abbreviations: CLH = cutaneous lymphoid hyperplasia, FM = folliculotropic mycosis fungoides, MF = mycosis fungoides, NR = not reported, pcALCL = primary cutaneous anaplastic large‐cell lymphoma, PCBCL = primary cutaneous B‐cell lymphoma, PC‐SMPTCL = primary cutaneous small/medium pleomorphic T‐cell lymphoma, PLEVA = pityriasis lichenoides et varioliformis acuta, SS = Sézary syndrome.
The 17 nn‐LPDs included 6 cases of cutaneous lymphoid hyperplasia (CLH), 5 cases of lymphomatoid reaction (including one MF‐like eruption), 5 cases of primary cutaneous CD4+ small/medium T‐cell lymphoproliferative disorder (PCSM‐TCLPD; 1 case reported as primary cutaneous small/medium pleomorphic T‐cell lymphoma—PC‐SMPTCL—was included within the PCSM‐TCLPD category, in line with the current WHO‐EORTC classification) and 1 case of primary cutaneous marginal zone lymphoproliferative disorder (PCMZLPD) (Table 1).
3.3. Vaccination Profile
The majority of patients (n = 28, 80.0%) had received the BNT162b2 mRNA vaccine (Pfizer–BioNTech), followed by ChAdOx1 nCoV‐19/AZD1222 (AstraZeneca) in 4 cases (11.4%) and mRNA‐1273 (Moderna) in 3 cases (8.6%) (Table 1). This distribution remained unchanged after reclassifying cases into CLs versus nn‐LPDs, as vaccine exposure was consistent across both neoplastic and non‐neoplastic groups.
3.4. Latency to Onset
In the subgroup of 17 new‐onset CLs, the time interval between vaccine administration and clinical onset ranged from 3 to 60 days. Most cases occurred within the first 2 weeks following vaccination. Figure 2 provides a graphical representation of time to onset by vaccine type.
FIGURE 2.

Latency from COVID‐19 vaccination to diagnosis of cutaneous lymphomas (CLs) in 18 reported cases. Each line represents the time interval (in days) between vaccine administration and clinical diagnosis. Solid lines indicate new‐onset CLs, while dashed lines denote relapse of previously diagnosed lymphomas. Line colours correspond to vaccine type: blue for BNT162b2 (Pfizer–BioNTech), orange for mRNA‐1273 (Moderna) and green for ChAdOx1 nCoV‐19/AZD1222 (AstraZeneca). The majority of diagnoses occurred within 14 days of vaccination.
4. Discussion
The accumulation of temporally associated reports between SARS‐CoV‐2 vaccination and the emergence of CLPDs raises the hypothesis of immune‐mediated triggering events in predisposed individuals. As detailed in Results/Table 2, most reported entities were of T‐cell origin, frequently CD30‐positive and often presented as indolent or self‐limited. Taken together with the group distribution shown in Table 2, this pattern supports the hypothesis that SARS‐CoV‐2 vaccination, particularly via mRNA platforms, may transiently amplify T‐cell activity—possibly unveiling latent lymphoproliferative conditions in immunologically susceptible hosts.
Such findings are consistent with models of vaccine‐associated immune hyperstimulation, wherein activation of effector and memory T cells may uncover previously undiagnosed or quiescent disorders. This effect may be enhanced by the potent activation of dendritic and antigen‐presenting cells induced by mRNA vaccines, promoting T‐cell responses in skin‐resident lymphocyte populations involved in CLs [52].
Among the 35 cases included in this review, most (80%) followed administration of the BNT162b2 vaccine, with smaller proportions linked to ChAdOx1/AZD1222 (11.4%) and mRNA‐1273 (8.6%). These proportions likely reflect overall vaccine availability and administration trends rather than a direct difference in immunogenic potential. Countries with the highest number of published cases also tended to be those with the highest doses administered per 100 inhabitants, as shown by real‐time epidemiological data from global surveillance platforms [53] (see Results). Likewise, the predominance of mRNA vaccines among these reports mirrors the distribution of vaccine types globally: BNT162b2 and mRNA‐1273 were predominantly used in high‐income countries, where most case reports originated, whereas adenoviral vector vaccines, such as ChAdOx1, were more frequently employed in lower‐resource settings. This epidemiological context likely contributes to the association between mRNA vaccines and CTCLs.
Significantly, new‐onset presentations outnumbered reactivations (24/35 vs 11/35; see Results), yet the presence of relapses temporally following vaccination supports the idea of a ‘trigger rather than initiator’ paradigm for a subset of cases. Furthermore, most CTCLs reported were indolent subtypes, particularly LyP, which is associated with favourable prognosis and often presents as a self‐limiting condition. This pattern may reflect the lower immune threshold required to activate or exacerbate these conditions through mechanisms, such as T‐cell hyperactivation and dysregulation of specific cytokine signalling (e.g., IL‐6 and NF‐κB pathways), which are well‐known contributors to lymphoma pathogenesis [54–58].
Latency from vaccination to onset/relapse was short (3–42 days) with clustering in the first two weeks (Results), suggesting a recall‐type immunologic phenomenon, consistent with boosting pre‐existing clonal populations or memory T‐cell responses. [59].
Compared with population‐based CTCL subtype distributions, our case collection shows an apparent over‐representation of indolent entities, many belonging to the primary cutaneous CD30‐positive T‐cell lymphoproliferative disorders. While this could be explained by selective reporting and publication bias, it also raises a hypothesis‐generating possibility that SARS‐CoV‐2 vaccination might act as a trigger in predisposed individuals [34]. In the subset with available immunophenotyping (21/35), 76.2% (16/21) were CD30‐positive [38]. CD30 is a nonspecific activation marker that can be upregulated in T cells in response to viral infections or cytokine surges; and while in these cases it reflects a transient immune activation following immunization, its presence should not be interpreted as evidence of causality or selective involvement of CD30+ clones in postvaccination lymphoproliferative events [60–62].
Preclinical studies have shown that persistent CD30 signalling can activate oncogenic pathways, such as NF‐κB and influence T‐cell differentiation, lending biological plausibility to a transient vaccine‐related effect on CD30+ lymphoproliferative clones. Such mechanisms may transiently affect CD30+ lymphocyte populations, potentially contributing to the observed cases. The indolent nature and high treatment responsiveness of CD30+ disorders likely contribute to the favourable outcomes observed [62]; nevertheless, their over‐representation raises questions about a potentially selective antigen‐driven stimulation following vaccination.
Although causality remains unproven, it is biologically plausible that vaccine‐induced immune activation may interact with pre‐existing but clinically silent lymphoproliferative conditions. Host‐specific factors—whether genetic, epigenetic or related to immune memory—could influence the threshold for disease expression following immunological stimuli. Polymorphisms affecting T‐cell receptor signalling, NF‐κB regulation or cytokine homeostasis may predispose individuals to exaggerated immune responses. Additionally, prior exposure to latent viruses, such as EBV or CMV, may contribute to immune priming and a lowered activation threshold, while speculative, vaccine‐driven epigenetic modulation of immune cell behaviour could also play a role [63, 64].
Notably, vaccine‐associated lymphoproliferative responses are not exclusive to SARS‐CoV‐2 immunization. Similar reports following influenza and HPV vaccines suggest that transient immune stimulation can occasionally unmask subclinical or latent conditions [65]. This phenomenon, referred to as ‘immunologic unveiling’, describes the emergence of overt disease in predisposed individuals following nonspecific immune activation by external stimuli, such as infection or vaccination [66].
Similar mechanisms have been proposed to explain re‐exacerbations of inflammatory dermatoses—including psoriasis, hidradenitis suppurativa and lichen planus—which have been observed to flare or newly arise in temporal proximity to SARS‐CoV‐2 vaccination [18, 19, 67]. These cases further support the notion that systemic immune activation may transiently lower the threshold for disease expression in individuals with underlying immunologic susceptibility.
4.1. Study Strengths and Limitations
Study strengths include the detailed extraction of clinical, histopathological and temporal features, as well as the identification of recurring patterns, such as CD30 positivity, indolent course and short latency.
However, the study is limited by its reliance on case reports and small series, which are prone to reporting and publication bias. Moreover, it cannot establish incidence or causality, and therefore over‐represent unusual, temporally striking or clinically indolent presentations while under‐representing common, equivocal or nonreportable events; as a result, signals, such as short‐latency clustering and CD30‐positive/indolent phenotypes, may appear exaggerated relative to their true frequency. The lack of a denominator (vaccinated population at risk) precludes any incidence estimation and inflates the salience of temporal co‐occurrence (‘base‐rate fallacy’), while ascertainment during periods of intense vaccination can further magnify temporal associations. Incomplete follow‐up, heterogeneous diagnostic criteria and lack of molecular data further constrain interpretability and tend to overestimate resolution as well as to underestimate relapses/progression, thus biasing outcomes towards benign trajectories. Under‐reporting of self‐limited or benign events may also skew the clinical spectrum observed. Furthermore, as already highlighted, geographic and vaccine uptake imbalances (predominance of countries with high mRNA use) may skew vaccine distributions towards mRNA platforms, reflecting availability rather than biology. Finally, the absence of molecular/immunogenetic profiling limits causal inference and may mask confounding (e.g., intercurrent infections, booster timing and prior clonal disease), so that any association detected here should be considered hypothesis‐generating rather than evidence of causation.
These limitations underline the intrinsic difficulty of drawing causal inferences in the context of rare diseases based solely on temporally associated reports. While a temporal link has been observed, there is currently no evidence to support a direct pathogenic role of SARS‐CoV‐2 vaccination in triggering CLs. Continued documentation and pharmacovigilance remain essential to better characterize the clinical presentation of these rare events.
5. Conclusion
While the benefits of SARS‐CoV‐2 vaccination remain overwhelmingly favourable, this review underscores the importance of maintaining vigilance for rare postvaccination events, including CLs and other nn‐LPDs.
In this contest, we aimed to characterize the onset or relapse of cutaneous lymphoproliferative conditions temporally associated with SARS‐CoV‐2 vaccination. Across 35 cases, we observed a predominance of T‐cell entities, frequent CD30 positivity among indolent phenotypes and a short latency from vaccination to clinical onset/relapse (3–42 days, often within 2 weeks), while the distribution of vaccine platforms mirrored real‐world availability. Taken together, these findings support a hypothesis‐generating signal of transient immune triggering in predisposed hosts, without evidence of causation. Given the case‐level design and reporting biases, incidence cannot be inferred. Clinically, the data support vigilance and careful documentation rather than vaccine hesitancy. Prospective registries with standardized capture of latency, subtype, immunophenotype/molecular data and outcomes are needed to validate these patterns and test mechanistic hypotheses.
Enhanced pharmacovigilance and integration of dermatologic and oncologic registries with vaccine safety databases may improve case recognition and clarify host‐specific vulnerabilities. These observations reinforce—not undermine—the overall safety of COVID‐19 vaccines and should encourage a nuanced, personalized approach to immunization in patients with underlying immunologic or lymphoproliferative conditions.
Funding
The authors have nothing to report.
Open access publishing facilitated by Universita di Bologna, as part of the Wiley ‐ CRUI‐CARE agreement.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting Information
Additional supporting information can be found online in the Supporting Information section.
Supporting information
Supporting Information Supplementary S1 provides the full database‐specific search strategies, the corresponding retrieval counts, and the supporting data used in this systematic review. These materials support the reproducibility and transparency of the literature search process.
Acknowledgements
The authors have nothing to report.
Mussi, Martina , Zengarini, Corrado , Corrà, Alberto , Brunetti, Tullio , Natale, Alessio , La Placa, Michelangelo , Piraccini, Bianca Maria , Guglielmo, Alba , Pileri, Alessandro , Cutaneous Lymphomas and Lymphoproliferative Disorders Associated With SARS‐CoV‐2 Vaccination: A Systematic Review, Journal of Skin Cancer, 2026, 4893577, 12 pages, 2026. 10.1155/jskc/4893577
Martina Mussi and Corrado Zengarini contributed equally and share first authorship.
Alba Guglielmo and Alessandro Pileri contributed equally and share last authorship.
Academic Editor: Richa Sharma
Contributor Information
Corrado Zengarini, Email: corrado.zengarini@studio.unibo.it.
Michelangelo La Placa, Email: michelangelo.laplaca@unibo.it.
Richa Sharma, Email: richsharma@wiley.com.
Data Availability Statement
Data are available upon request from the authors.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supporting Information Supplementary S1 provides the full database‐specific search strategies, the corresponding retrieval counts, and the supporting data used in this systematic review. These materials support the reproducibility and transparency of the literature search process.
Data Availability Statement
Data are available upon request from the authors.
