Case Report
Copyright ©The Author(s) 2022.
World J Clin Cases. Feb 6, 2022; 10(4): 1263-1277
Published online Feb 6, 2022. doi: 10.12998/wjcc.v10.i4.1263
Table 1 Laboratory data at presentation
Admission bloods (normal range, units)
Results
BMI (kg/m2)18.8
Finger prick glucose (mmol/L)23.4
urinary glucose++++
Ketones (mmol/L)Negative
HbA1c [4%–6% (20–42 mmol/mol)]8.2%
C-peptide (1.0–7.1 ng/mL)0.22
Testosterone (0.1–1.1 ng/mL)0.18
Progesterone (0.00–0.20 ng/mL)< 1.0
Estradiol (10.00–28.00 pg/mL)< 10
FSH (26.70–133.40 IU/L)45.52
LH (5.20–62.0 IU/L)18.55
Prolactin (5.20–26.50 ng/mL)9.13
8 am ACTH (0.00-46.00 pg/mL)15.90
8 am cortisol (67.00-226.00 µg/L)113.00
ARR (≤ 150 pg/mL)2.53
TSH (15.00–65.00 mIU/L)0.98
TT3 (0.66–1.61ug/L)1.03
TT4 (54.40–118.50 ug/L)116.86
FT3 (1.0–7.1 ng/L)3.35
FT4 (1.0–7.1 ng/L)6.00
ATG (<4.00 IU/L)17.80
TPO (<9.00 IU/L)10.00
GADNegative
ICANegative
IAANegative
ZnT8Negative
IL-2 (0.00–4.10 pg/mL)0.04
IL-4 (0.10-3.20 pg/mL)0.01
IL-6 (0.00–5.00 pg/mL)0.00
IL-10 (0.00–5.90 pg/mL0.13
TNF-α (0.00–6.00 pg/mL)0.81
IFN-γ (0.00–6.00 pg/mL1.36
IL-17A (0.00–5.90 pg/mL)0.70
Table 2 High-resolution genotyping of human leukocyte antigen class I and II of patient with diabetes induced by immune checkpoint inhibitor
HLA type
A
B
C
DRB1
DQB1
DPB1
Alleles02:0135:0304:0104:0103:0102:01
24:0251:0514:0214:0303:0202:01
Table 3 Reported cases of diabetes induced by immune checkpoint inhibitors
Ref.
Sex/ Age (yr)
Primary diagnosis
Relevant history
Anti-PD-1/Anti-PD-L1 drug
Other chemo-therapies
Presentation
Other side effects
HbA1c
C peptide
Antibodies
Time with anti-PD-1 (w)
HLA
Araújo et al[6], 2017F/73NSCLCNNivolumabCarboplatin +pemetrexedDKAN7.20%0.06 ng/mlGAD+5High risk: DR3-DQ2/DR4-DQ8
Li et al[7], 2020M/73NSCLCNNivolumabSunitinibDKAN10.90%0.24 ng/mL-30Unavailable
Abdullah et al[8], 2019M/68MelanomaNNivolumabNoneDKANUnavailable0.1 ng/mL -4Unavailable
Kapke et al[9], 2017M/83Oral squamous cell carcinomaHypothyroidismNivolumabNoneDKANUnavailable0.32 ng/mL GAD+12High risk: DRB1*08, DRB1*11, DQB1*03, DQB1*04, DQA1*04, and DQA1*05.
Kapke et al[9], 2017F/63Urothelial carcinoma of the bladderHypothyroidismAtezolizumabGemcitabine + cisplatinDKANUnavailable0.02 ng/mL GAD+6High risk: DRB1*03, DRB1*04, DQB1*02, DQB1*03,DQA1*03, and DQA1*05.
Lowe et al[10], 2016M/54 MelanomaNNivolumab +ipilimumabNoneDKAAutoimmune, thyroiditisUnavailable< 0.1 ng /mLGAD+19Unavailable
Rahman et al[11], 2020M/64Renal cell carcinomaT2DMAtezolizumabBevacizumabDKANUnavailableUnavailableGAD+12Unavailable
Mengíbar et al[12], 2019M/55Urothelial carcinoma of the bladderFamily history of T1DDurvalumabNoneDKAHypothyroidism8.40%0.02 ng/mLGAD+, IA2+3Unavailable
Kichloo et al[13], 2020F/77Colonic adenocarcinomaNPembrolizumabFOLFOX (leucovorin, fluorouracil, oxaliplatinDKAN8.80%Unavailable-44Unavailable
Delasos et al[14], 2020M/77Neuroendocrine tumorNNivolumabCarboplatin + etoposideDKAN8.30%Unavailable-28Unavailable
Hickmott et al[15], 2017M/57Urothelial cancerNAtezolizumabCisplatin + gemcitabineDKAN7.50%0.65 ng/mL-15High risk: DRB1*11, DRB1*04; DRB3*02; DRB4*01; DQB1*03, DQB1*03
Sothornwit et al[16], 2017F/52NSCLCNAtezolizumabNoneDKATransaminitis7.90%0.1 ng/mlGAD+24DRB1∗03, DRB1∗14, DQB1∗02, DQB1∗05 (DR3-DQ2/DR14-DQ5)
Changizzadeh et al[17], 2019M/44MelanomaNNivolumab + ipilimumabNoneDKAN6.50%Unavailable-12Unavailable
Gunawan et al[18], 2018M/52MelanomaNNivolumab + ipilimumabNonehyperglycemia KetonuriaHypophysitis, thyroiditis, adrenal inefficiency7.70%0.05 nmol/L (0.016 ng/ml)-3Unavailable
Gunjur et al[19], 2019F/77MelanomaNPembrolizumabNoneDKAThyroidits6.9% (normal range: <6.5%)0.07 ng/mlGAD+,IA2+3DRB1*04:16, DQB1*02:05 and DQA1*01:03
Atkins et al[20], 2018M/50Squamous cell carcinoma of the tonsilNAvelumab UtomilumabDKAN6.40%63 pmol/LGAD+4Unavailable
Marchand et al[21], 2019F/65MelanomaNNivolumab + ipilimumabNoneDKAHypereosinophilia7.30%<0.1 ng/mL -12DRB1*01:01 DQA1*01DQB1*03:01 DRB1*11:01 DQA1*05 DQB1*05:01
Tzoulis et al[22], 2018F/56NSCLCNNivolumabPemetrexed + cisplatinDKAN8.20%UndetectableGAD+7Unavailable
Porntharukchareon et al[23], 2020M/70NSCLCNPembrolizumab + ipilimumabNoneDKAIAD6.50%< 0.1 ng/ml -14Unavailable
Lee et al[24], 2020M/67NSCLCT2DMNivolumabCarboplatin + paclitaxelDKAThyroiditis7.60%<0.1 ng/mL GAD+2Unavailable
Leonardi et al[25], 2017M/66NSCLCNPembrolizumabNonehyperglycemia KetonuriaN7.6% (4.2%–5.8%)0.3 ng/mLGAD+12Unavailable
Wong et al[26], 2020F/55Squamous cell lung carcinoma.NAtezolizumabNonehyperglycemia KetonuriaNUnavailable0.6nmol/L (0.19 ng/ml) ZnT8+8Unavailable
Chokr et al[27], 2018F/61MelanomaNNivolumab + ipilimumab,NoneDKAN6.90%<0.1 ng/ml.-9Unavailable
Chan et al[28], 2017M/74MelanomaNNivolumab + ipilimumabNoneDKATransaminitisUnavailableUnavailable-14Unavailable
Zezza et al[29], 2019F/60MelanomaT2DMNivolumab + ipilimumabNoneDKAN7.60%UnavailableGAD+ICA+, IA2+2Unavailable
Zezza et al[29], 2019F/80MelanomaNNivolumab + ipilimumabNoneDKAThyroiditisUnavailableUnavailableGAD+3Unavailable
Shibayama et al[30], 2019F/79Merkel cell carcinomaNAvelumabNoneHyperglycemia Ketonuria N7.50%<0.1 ng/mL-20High risk: DRB1 *09:01:02 DRB1 *14:54:01 DQA1 *01:04 DQA1 *03:02 DQB1 *05:02:01 and DQB1 *03:03:02
Marchand et al[21], 2019M/65MelanomaNNivolumabNoneDKAHashimoto8.5% (74 mmol/mol)<0.1 ng/mL-34High risk: DRB1*04:01 DQA1*02 DQB1*02:02 DRB1*07:01 DQA1*03 DQB1*03:01
Okamoto et al[31], 2016F/55MelanomaNNivolumabAcarbazine, + nimustine, + cisplatin + tamoxifenHyperglycemia KetonuriaN7.00%1.0 ng/mL-48High risk: DRB1*04:05-DQB1*04:01
Godwin et al[32], 2017F/34NSCLCNNivolumabCarboplatin + pemetrexedDKAN7.1% (normal range 4.6–6.1%)<0.1 ng/mL GAD+, IA2+ ZnT8+3A30:01, 30:02 (A30) D09:CTZ, 09:CTZ (DR9)
Smith-Cohn et al[33], 2017F/66CholangiocarcinomaNPembrolizumabNoneHyperglycemiaN8.7% (4.2%–5.8%)UnavailableGAD+12Unavailable
Marchand et al[21], 2019M/83MelanomaNPembrolizumabNoneHyperglycemiaHashimoto’s disease9.40%1.0 ng/mL-12DRB1*01:01 DQA1*01 DQB1*05:01/ DRB1*16:01 DQA1*01 DQB1*05:02
Maamari et al[34], 2019-3F/47Cardiac angiosarcomaNPembrolizumabIfosfamide, gemcitabine, docetaxelDKAN6.40%0.1 ng/mL GAD+3Unavailable
Tassone et al[35], 2019-9M/42Pulmonary adenocarcinomaNNivolumabNoneDKANUnavailable0.2 ng/dL (2ng/ml)GAD+12DRB1*03:15-DQB1*02:06
Yilmas et al[36], 2020-8M/49Renal cell carcinomaNNivolumabNoneDKAN10.90%2.4 ng/mL-44Unavailable
Wen et al[37], 2020M/56Hepatocellular carcinomaNSintilimabNoneDKAN7.80%1.12 ng/mL-24DRB1*12:01 DRB1*12:02; DQB1 *05:03 DQB1 *03:01; DQA1 *01:04 DQA1 *06:01
Table 4 Characteristics of patients with diabetes induced by immune checkpoint inhibitors
Reported casesn (%)
Tumor types
Melanoma13/36 (36.1)
NSCLC8/36 (22.2)
Renal cell carcinoma2/36 (5.6)
Squamous cell carcinoma3/36 (8.3)
Other cancers10/36 (27.8)
ICBs
Anti PD-119/ 36 (52.7)
Nivolumab12
Pembrolizumab6
Sintilimab1
Anti PD-L18/ 36 (22.2)
Avelumab2
Atezolizumab5
Durvalumab1
Anti PD-1+CTLA-49/ 36 (25.0)
Nivolumab + ipilimumab8
Pembrolizumab + ipilimumab1
Demographic data
Sex (F/M)16/20
Average age (yr)58.8
Time of diagnosis after start of (w)14.6
Presentation
DKA29/36 (80.6)
Hyperglycemia Ketonuria8/36 (22.2)
HbA1c, % (avg)7.8 26/36
Relevant history
T2DM3/36 (8.3)
Hypothyroidism2/36 (5)
Family history of T1DM2/36 (5)
None29/36 (80.5)
Antibodies
GAD+18/36 (50)
IA-2+4/36 (10)
ZnT8+2/36 (5)
Negative12/36 (33.3)