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©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
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 |
GAD | Negative |
ICA | Negative |
IAA | Negative |
ZnT8 | Negative |
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/mL | 0.13 |
TNF-α (0.00–6.00 pg/mL) | 0.81 |
IFN-γ (0.00–6.00 pg/mL | 1.36 |
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 |
Alleles | 02:01 | 35:03 | 04:01 | 04:01 | 03:01 | 02:01 |
24:02 | 51:05 | 14:02 | 14:03 | 03:02 | 02:01 |
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], 2017 | F/73 | NSCLC | N | Nivolumab | Carboplatin +pemetrexed | DKA | N | 7.20% | 0.06 ng/ml | GAD+ | 5 | High risk: DR3-DQ2/DR4-DQ8 |
Li et al[7], 2020 | M/73 | NSCLC | N | Nivolumab | Sunitinib | DKA | N | 10.90% | 0.24 ng/mL | - | 30 | Unavailable |
Abdullah et al[8], 2019 | M/68 | Melanoma | N | Nivolumab | None | DKA | N | Unavailable | 0.1 ng/mL | - | 4 | Unavailable |
Kapke et al[9], 2017 | M/83 | Oral squamous cell carcinoma | Hypothyroidism | Nivolumab | None | DKA | N | Unavailable | 0.32 ng/mL | GAD+ | 12 | High risk: DRB1*08, DRB1*11, DQB1*03, DQB1*04, DQA1*04, and DQA1*05. |
Kapke et al[9], 2017 | F/63 | Urothelial carcinoma of the bladder | Hypothyroidism | Atezolizumab | Gemcitabine + cisplatin | DKA | N | Unavailable | 0.02 ng/mL | GAD+ | 6 | High risk: DRB1*03, DRB1*04, DQB1*02, DQB1*03,DQA1*03, and DQA1*05. |
Lowe et al[10], 2016 | M/54 | Melanoma | N | Nivolumab +ipilimumab | None | DKA | Autoimmune, thyroiditis | Unavailable | < 0.1 ng /mL | GAD+ | 19 | Unavailable |
Rahman et al[11], 2020 | M/64 | Renal cell carcinoma | T2DM | Atezolizumab | Bevacizumab | DKA | N | Unavailable | Unavailable | GAD+ | 12 | Unavailable |
Mengíbar et al[12], 2019 | M/55 | Urothelial carcinoma of the bladder | Family history of T1D | Durvalumab | None | DKA | Hypothyroidism | 8.40% | 0.02 ng/mL | GAD+, IA2+ | 3 | Unavailable |
Kichloo et al[13], 2020 | F/77 | Colonic adenocarcinoma | N | Pembrolizumab | FOLFOX (leucovorin, fluorouracil, oxaliplatin | DKA | N | 8.80% | Unavailable | - | 44 | Unavailable |
Delasos et al[14], 2020 | M/77 | Neuroendocrine tumor | N | Nivolumab | Carboplatin + etoposide | DKA | N | 8.30% | Unavailable | - | 28 | Unavailable |
Hickmott et al[15], 2017 | M/57 | Urothelial cancer | N | Atezolizumab | Cisplatin + gemcitabine | DKA | N | 7.50% | 0.65 ng/mL | - | 15 | High risk: DRB1*11, DRB1*04; DRB3*02; DRB4*01; DQB1*03, DQB1*03 |
Sothornwit et al[16], 2017 | F/52 | NSCLC | N | Atezolizumab | None | DKA | Transaminitis | 7.90% | 0.1 ng/ml | GAD+ | 24 | DRB1∗03, DRB1∗14, DQB1∗02, DQB1∗05 (DR3-DQ2/DR14-DQ5) |
Changizzadeh et al[17], 2019 | M/44 | Melanoma | N | Nivolumab + ipilimumab | None | DKA | N | 6.50% | Unavailable | - | 12 | Unavailable |
Gunawan et al[18], 2018 | M/52 | Melanoma | N | Nivolumab + ipilimumab | None | hyperglycemia Ketonuria | Hypophysitis, thyroiditis, adrenal inefficiency | 7.70% | 0.05 nmol/L (0.016 ng/ml) | - | 3 | Unavailable |
Gunjur et al[19], 2019 | F/77 | Melanoma | N | Pembrolizumab | None | DKA | Thyroidits | 6.9% (normal range: <6.5%) | 0.07 ng/ml | GAD+,IA2+ | 3 | DRB1*04:16, DQB1*02:05 and DQA1*01:03 |
Atkins et al[20], 2018 | M/50 | Squamous cell carcinoma of the tonsil | N | Avelumab | Utomilumab | DKA | N | 6.40% | 63 pmol/L | GAD+ | 4 | Unavailable |
Marchand et al[21], 2019 | F/65 | Melanoma | N | Nivolumab + ipilimumab | None | DKA | Hypereosinophilia | 7.30% | <0.1 ng/mL | - | 12 | DRB1*01:01 DQA1*01DQB1*03:01 DRB1*11:01 DQA1*05 DQB1*05:01 |
Tzoulis et al[22], 2018 | F/56 | NSCLC | N | Nivolumab | Pemetrexed + cisplatin | DKA | N | 8.20% | Undetectable | GAD+ | 7 | Unavailable |
Porntharukchareon et al[23], 2020 | M/70 | NSCLC | N | Pembrolizumab + ipilimumab | None | DKA | IAD | 6.50% | < 0.1 ng/ml | - | 14 | Unavailable |
Lee et al[24], 2020 | M/67 | NSCLC | T2DM | Nivolumab | Carboplatin + paclitaxel | DKA | Thyroiditis | 7.60% | <0.1 ng/mL | GAD+ | 2 | Unavailable |
Leonardi et al[25], 2017 | M/66 | NSCLC | N | Pembrolizumab | None | hyperglycemia Ketonuria | N | 7.6% (4.2%–5.8%) | 0.3 ng/mL | GAD+ | 12 | Unavailable |
Wong et al[26], 2020 | F/55 | Squamous cell lung carcinoma. | N | Atezolizumab | None | hyperglycemia Ketonuria | N | Unavailable | 0.6nmol/L (0.19 ng/ml) | ZnT8+ | 8 | Unavailable |
Chokr et al[27], 2018 | F/61 | Melanoma | N | Nivolumab + ipilimumab, | None | DKA | N | 6.90% | <0.1 ng/ml. | - | 9 | Unavailable |
Chan et al[28], 2017 | M/74 | Melanoma | N | Nivolumab + ipilimumab | None | DKA | Transaminitis | Unavailable | Unavailable | - | 14 | Unavailable |
Zezza et al[29], 2019 | F/60 | Melanoma | T2DM | Nivolumab + ipilimumab | None | DKA | N | 7.60% | Unavailable | GAD+ICA+, IA2+ | 2 | Unavailable |
Zezza et al[29], 2019 | F/80 | Melanoma | N | Nivolumab + ipilimumab | None | DKA | Thyroiditis | Unavailable | Unavailable | GAD+ | 3 | Unavailable |
Shibayama et al[30], 2019 | F/79 | Merkel cell carcinoma | N | Avelumab | None | Hyperglycemia Ketonuria | N | 7.50% | <0.1 ng/mL | - | 20 | High 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], 2019 | M/65 | Melanoma | N | Nivolumab | None | DKA | Hashimoto | 8.5% (74 mmol/mol) | <0.1 ng/mL | - | 34 | High risk: DRB1*04:01 DQA1*02 DQB1*02:02 DRB1*07:01 DQA1*03 DQB1*03:01 |
Okamoto et al[31], 2016 | F/55 | Melanoma | N | Nivolumab | Acarbazine, + nimustine, + cisplatin + tamoxifen | Hyperglycemia Ketonuria | N | 7.00% | 1.0 ng/mL | - | 48 | High risk: DRB1*04:05-DQB1*04:01 |
Godwin et al[32], 2017 | F/34 | NSCLC | N | Nivolumab | Carboplatin + pemetrexed | DKA | N | 7.1% (normal range 4.6–6.1%) | <0.1 ng/mL | GAD+, IA2+ ZnT8+ | 3 | A30:01, 30:02 (A30) D09:CTZ, 09:CTZ (DR9) |
Smith-Cohn et al[33], 2017 | F/66 | Cholangiocarcinoma | N | Pembrolizumab | None | Hyperglycemia | N | 8.7% (4.2%–5.8%) | Unavailable | GAD+ | 12 | Unavailable |
Marchand et al[21], 2019 | M/83 | Melanoma | N | Pembrolizumab | None | Hyperglycemia | Hashimoto’s disease | 9.40% | 1.0 ng/mL | - | 12 | DRB1*01:01 DQA1*01 DQB1*05:01/ DRB1*16:01 DQA1*01 DQB1*05:02 |
Maamari et al[34], 2019-3 | F/47 | Cardiac angiosarcoma | N | Pembrolizumab | Ifosfamide, gemcitabine, docetaxel | DKA | N | 6.40% | 0.1 ng/mL | GAD+ | 3 | Unavailable |
Tassone et al[35], 2019-9 | M/42 | Pulmonary adenocarcinoma | N | Nivolumab | None | DKA | N | Unavailable | 0.2 ng/dL (2ng/ml) | GAD+ | 12 | DRB1*03:15-DQB1*02:06 |
Yilmas et al[36], 2020-8 | M/49 | Renal cell carcinoma | N | Nivolumab | None | DKA | N | 10.90% | 2.4 ng/mL | - | 44 | Unavailable |
Wen et al[37], 2020 | M/56 | Hepatocellular carcinoma | N | Sintilimab | None | DKA | N | 7.80% | 1.12 ng/mL | - | 24 | DRB1*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 cases | n (%) |
Tumor types | |
Melanoma | 13/36 (36.1) |
NSCLC | 8/36 (22.2) |
Renal cell carcinoma | 2/36 (5.6) |
Squamous cell carcinoma | 3/36 (8.3) |
Other cancers | 10/36 (27.8) |
ICBs | |
Anti PD-1 | 19/ 36 (52.7) |
Nivolumab | 12 |
Pembrolizumab | 6 |
Sintilimab | 1 |
Anti PD-L1 | 8/ 36 (22.2) |
Avelumab | 2 |
Atezolizumab | 5 |
Durvalumab | 1 |
Anti PD-1+CTLA-4 | 9/ 36 (25.0) |
Nivolumab + ipilimumab | 8 |
Pembrolizumab + ipilimumab | 1 |
Demographic data | |
Sex (F/M) | 16/20 |
Average age (yr) | 58.8 |
Time of diagnosis after start of (w) | 14.6 |
Presentation | |
DKA | 29/36 (80.6) |
Hyperglycemia Ketonuria | 8/36 (22.2) |
HbA1c, % (avg) | 7.8 26/36 |
Relevant history | |
T2DM | 3/36 (8.3) |
Hypothyroidism | 2/36 (5) |
Family history of T1DM | 2/36 (5) |
None | 29/36 (80.5) |
Antibodies | |
GAD+ | 18/36 (50) |
IA-2+ | 4/36 (10) |
ZnT8+ | 2/36 (5) |
Negative | 12/36 (33.3) |
- Citation: Yang J, Wang Y, Tong XM. Sintilimab-induced autoimmune diabetes: A case report and review of the literature. World J Clin Cases 2022; 10(4): 1263-1277
- URL: https://www.wjgnet.com/2307-8960/full/v10/i4/1263.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i4.1263