Literature DB >> 33171025

The Pattern of Time to Onset and Resolution of Immune-Related Adverse Events Caused by Immune Checkpoint Inhibitors in Cancer: A Pooled Analysis of 23 Clinical Trials and 8,436 Patients.

Si-Qi Tang1, Ling-Long Tang1, Yan-Ping Mao1, Wen-Fei Li1, Lei Chen1, Yuan Zhang1, Ying Guo2, Qing Liu3, Ying Sun1, Cheng Xu1, Jun Ma1.   

Abstract

PURPOSE: The occurrence pattern of immune-related adverse events (irAEs) induced by immune checkpoint inhibitor (ICI) in cancer treatment remains unclear.
MATERIALS AND METHODS: Phase II-III clinical trials that evaluated ICI-based treatments in cancer and were published between January 2007 and December 2019 were retrieved from public electronic databases. The pooled median time to onset (PMT-O), resolution (PMT-R), and immune-modulation resolution (PMT-IMR) of irAEs were generated using the metamedian package of R software.
RESULTS: Twenty-two eligible studies involving 23 clinical trials and 8,436 patients were included. The PMT-O of all-grade irAEs ranged from 2.2 to 14.8 weeks, with the longest in renal events. The PMT-O of grade ≥ 3 irAEs was significantly longer than that of all-grade irAEs induced by programmed cell death protein 1 (PD-1) and its ligand 1 (PD-L1) inhibitors (27.5 weeks vs. 8.4 weeks, p < 0.001) and treatment of nivolumab (NIV) plus ipilimumab (IPI) (7.9 weeks vs. 6.0 weeks, p < 0.001). The PMT-R of all-grade irAEs ranged from 0.1 to 54.3 weeks, with the shortest and longest in hypersensitivity/infusion reaction and endocrine events, respectively. The PMT-IMR of grade ≥ 3 irAEs was significantly shorter than that of all-grade irAEs caused by PD-1/PD-L1 blockade (6.9 weeks vs. 40.6 weeks, p=0.002) and NIV+IPI treatment (3.1 weeks vs. 5.9 weeks, p=0.031).
CONCLUSION: This study revealed the general and specific occurrence pattern of ICI-induced irAEs in pan-cancers, which was deemed to aid the comprehensive understanding, timely detection, and effective management of ICI-induced irAEs.

Entities:  

Keywords:  Immune checkpoint inhibitors; Immune-related adverse event; Neoplasms; Occurrence pattern

Mesh:

Substances:

Year:  2020        PMID: 33171025      PMCID: PMC8053869          DOI: 10.4143/crt.2020.790

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


Introduction

Immune checkpoint inhibitors (ICIs) have opened a new era of cancer management through the leverage of the immune system’s potential and have become one of the mainstays of antitumor treatment [1]. The activation and proliferation of T cells are modulated by certain inhibitory surface signaling molecules, so-called checkpoints. Several different immune checkpoint molecules have been identified, in particular, cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1) and its ligand 1 (PD-L1). Selectively blocking the interaction of ligands with these checkpoints can lead to amplification of T cell–mediated immunity and disruption of tumor immune escape. Substantial clinical studies have demonstrated that antibodies against CTLA-4 and PD-1/PD-L1 can yield a significant survival improvement in several tumor types, including metastatic melanoma, non-small cell lung cancer, and renal cell carcinoma [2-5]. However, the routine application of these novel ICI drugs highlights the essence of knowledge and management of ICI-induced immune-related adverse events (irAEs). In light of the fact that ICI delivers positive antitumor efficacy by interfering with immune system regulation, an activated immune response might attack normal body tissues and be responsible for the development of irAEs. The common irAEs include colitis, hepatitis, pneumonitis, nephritis, and endocrinopathies [6,7]. Although the majority of irAEs show moderate toxicity, there have been reports of ICI- induced deaths, mainly due to autoimmune colitis, myocarditis, and myasthenia gravis [2,8-11]. Most of mild-to-moderate irAEs can be well controlled by observation and supportive treatment without withholding ICI drugs, however, patients with severe irAEs still require enhanced and timely medical interventions, such as corticosteroids and immunosuppressive agents, in line with the guidelines of the National Comprehensive Cancer Network (NCCN) and European Society for Medical Oncology (ESMO) [12,13]. Our previous study revealed that the toxicity profile and incidence of irAEs varied among ICI drugs [14]. However, the pattern of the time to onset and resolution of ICI-induced irAEs remains undetermined and is worth further exploration. There are few studies concerning the pattern of irAE development in cancer. Martins et al. [15] proposed that the majority of grade ≥ 3 irAEs induced by anti–CTLA-4 antibodies occur within 8–12 weeks of commencing treatment. Skin rash usually had the earliest onset and irAEs tended to occur earlier in the course of nivolumab (NIV) plus ipilimumab (IPI) treatment than in that of IPI monotherapy [15]. Nonetheless, the results were summarized through a literature review rather than statistical calculations and the time to resolution was not investigated. Although Weber et al. [16] demonstrated a characteristic pattern of the occurrence of irAEs, these results were generated based on small sample size (n=325) and the pattern was applicable to only four organ-specific irAEs and specific treatment of IPI 10 mg/kg every 3 weeks, failing to provide a comprehensive view of ICI-induced irAEs in pan-cancers [16]. By using the data derived from robust clinical trials, we conducted a pooled analysis to investigate the pattern of the time to onset, resolution, and immune-modulation resolution of irAEs in cancer, intending to aid a better understanding, timely detection, and effective management of ICI-induced irAEs in routine practice.

Materials and Methods

A prospective protocol was created and uploaded to the PROSPERO online platform, with the registration number CRD42020167835.

1. Data sources and searches

We searched for relevant studies published between January 2007 and December 2019 through public electronic databases, including PubMed, Embase, Cochrane Library, and Web of Science. Two investigators (S.Q.T. and C.X.) determined the final search strategy (Supplementary Materials). After screening the titles or abstracts, full texts were assessed, and references of relevant publications were manually searched.

2. Study selection

We included phase II–III clinical trials that reported the median time to onset, resolution, or immune-modulation resolution of irAEs in cancer receiving ICI-based treatments (e.g., ICI alone or ICI plus conventional therapy). Conventional therapies (CT) included chemotherapy, radiotherapy, and so on. The definitions for outcomes above were listed in Supplementary Materials and were consistent among all included clinical trials. We excluded conference abstracts and presentations of ongoing clinical trials due to the insufficient information.

3. Data extraction and processing

We extracted the data from the main text and supplementary materials. Two reviewers (S.Q.T. and C.X.) independently recorded the data on a predesigned list (Supplementary Materials). Data from the updated study were used to supplement those from the previous report of the same trial. Common Terminology Criteria for Adverse Events were used to evaluate the adverse events and grade the severity of each irAE [17]. Grade ≥ 3 irAEs were considered severe events.

4. Quality assessment

Two reviewers (S.Q.T. and C.X.) used the tool recommended by the Cochrane Collaboration Handbook and the modified Jadad scale to evaluate the quality of the included clinical trials [18,19]. Discrepancies regarding study selection, data extraction, and quality assessment between two reviewers were resolved by discussion.

5. Data synthesis and statistical analysis

The timing data that represented different event subsets to the same organ-specific irAEs were pooled as the timing data of that category. For example, the time to onset of hyperthyroidism and hypothyroidism would be pooled as that of endocrine events. The data with censored values were excluded. We used the pooled median time (weighted median time) to onset (PMT-O), resolution (PMT-R), and immune-modulation resolution (PMT-IMR) and their 95% confidence interval as summary statistics. The outcomes were generated by using the metamedian package in R ver. 3.6.1 (http://www.r-project.org/) [20]. The primary outcomes were PMT-O and PMT-R of all-grade irAEs. The secondary outcomes were PMT-IMR of all-grade irAEs and the outcomes of grade ≥ 3 irAEs. All outcomes were assessed from two different perspectives: overview and detail, based on the time of development of all irAEs and that of organ-specific irAE, respectively. Given that the different toxicity profiles among ICI agents, the PMT-O, PMT-R, and PMT-IMR were compared between PD-1/PD-L1 inhibitor, CTLA-4 inhibitor, and combination therapy (i.e. more than one kind of ICI agent). The former two treatments refer to applying one ICI agent with or without CT. Subgroup analyses were based on ICI drugs, ICI doses, and cancer types. Data visualization methods were used to depict the pooled median time and 95% confidence interval via Microsoft Excel (Microsoft, Inc., Redmond, WA). We used the Z test to identify the differences among PMT-O, PMT-R, and PMT-IMR by SPSS ver. 24.0 (IBM Corp., Armonk, NY). All p-values were two-sided with significance defined as p < 0.05.

Results

1. Literature search and characteristics

We included 22 studies involving 23 clinical trials and 8,436 patients in this study (S1 Table, S2 Fig.) [3,21-41]. The baseline characteristics of each study were shown in Table 1. Thirteen clinical trials (56.5%) were phase III trials. One study reported the pooled results of a phase I and a phase II clinical trial with a large sample size of 1,738 patients; thus, the phase I trial was also included [32]. The cancer types included lung cancer (number of the involving trials=6), melanoma (n=7), urinary system cancer (n=4), and other (n=6). PD-1/PD-L1 blockade-based treatments included monotherapy of NIV (n=10), pembrolizumab (n=2), and avelumab (n=2). CTLA-4 blockade-based treatments included IPI monotherapy (n=5) and IPI+CT (n=3). Combination therapy included NIV+IPI (n=5). Subgroup analysis included two updated clinical trials without duplicate counting of their sample sizes [30]. According to modified Jadad scores, 20 studies were assessed as high quality, and two studies were assessed as relatively low quality (S3 Table) [3,23].
Table 1

Baseline characteristics of the included studies

Author, yearStudy IDRegionCancerPhaseTotal No.Safety analysis No.ArmTreatmentMedian follow-up time (mo)CTCAE version
Weber (2013) [21]MDX010-20MNMelanomaIII6764031IPI 3 mg/kg Q3W plus gp10021.03.0
1312IPI 3 mg/kg Q3W27.8
1363Gp 10017.2
Kwon (2014) [22]CA184-043MNProstate cancerIII7993991IPI 10 mg/kg Q3W plus bone-directed radiotherapy9.93.0
4002Placebo plus bone-directed radiotherapy9.3
Brahmer (2015) [3]CheckMate 017MNLung cancerIII2721311NIV 3 mg/kg Q2WMin 11.04.0
1292DOC 75 mg/m2 Q3WMin 11.0
Borghaei (2015) [23]CheckMate 057MNLung cancerIII5822871NIV 3 mg/kg Q2WMin 13.24.0
2682DOC 75 mg/m2 Q3WMin 13.2
Reck (2016) [25]CA184-156MNLung cancerIII9544781IPI 10 mg/kg Q3W, ETO, and DDP or CBP10.53.0
4762ETO and DDP or CBP10.2
Eggermont (2016) [24]EORTC 18071MNMelanomaIII9514711IPI 10 mg/kg Q3W63.63.0
4762Placebo Q3W64.8
Weber (2017) [27]CheckMate 238MNMelanomaIII9054521NIV 3 mg/kg Q2W19.54.0
4532IPI 10 mg/kg Q3W19.5
Ascierto (2017) [26]CA184-169MNMelanomaIII7273641IPI 10 mg/kg Q3W14.53.0
3622IPI 3 mg/kg Q3W11.2
Larkin (2017) [28]CheckMate 037MNMelanomaII4052681NIV 3 mg/kg Q2W24.04.0
1022ICC (DTIC 1,000 mg/m2 Q3W or CBP AUC=6 and PTX 175 mg/m2 Q3W)24.0
Govindan (2017) [29]CA184-104MNLung cancerIII7493881IPI 10 mg/kg Q3W, PTX and CBP12.53.0
3612PTX and CBP11.8
Horn (2017) [30]CheckMate 017MNLung cancerIII8544181NIV 3 mg/kg Q2WMin 24.04.0
CheckMate 057MNLung cancerIII3972DOC 75 mg/m2 Q3WMin 24.0
Armand (2018) [31]CheckMate 205MNHodgkin lymphomaII2432431NIV 3 mg/kg Q2W18.04.0
Kelly (2018) [32]JAVELIN Solid TumorMNSolid tumorsI[a)]1,6501,6501AVE 10 mg/kg Q2WMin 3.04.0
JAVELIN Merkel 200MNMerkel cell carcinomaII88881AVE 10 mg/kg Q2WMin 9.04.0
Larkin (2019) [34]CheckMate 067MNMelanomaIII9453131NIV 1 mg/kg plus IPI 3 mg/kg Q3W, followed by NIV 3 mg/kg Q2WMin 60.04.0
3132NIV 3 mg/kg Q2W36.9
3113IPI 3 mg/kg Q3W19.9
Geoerger (2019) [35]Keynote 051MNAdvanced pediatric cancerI–II1541541PEM 2 mg/kg Q3W8.64.0
Fradet (2019) [33]Keynote 045MNUrothelial carcinomaIII5422701PEM 200 mg Q3W27.74.0
2722PTX 175 mg/m2 Q3W, DOC 75 mg/m2 Q3W, or VIN 320 mg/m2 Q3W27.7
Tomita (2020) [41]CheckMate 214JapanRenal cell carcinomaIII72381NIV 3 mg/kg plus IPI 1 mg/kg Q3W, followed by NIV 3 mg/kg Q2W32.44.0
342SUN 50 mg QD for 4 weeks Q6W32.4
Lebbe (2019) [38]CheckMate 511MNMelanomaIIIB/IV3581801NIV 3 mg/kg plus IPI 1 mg/kg Q3W, followed by NIV 480 mg Q4W18.84.0
1782NIV 1 mg/kg plus IPI 3 mg/kg Q3W, followed by NIV 480 mg Q4W18.6
Sharma (2020) [40]CheckMate 032MNUrothelial carcinomaI/II274781NIV 3 mg/kg Q2WMin 37.74.0
1042NIV 3 mg/kg plus IPI 1 mg/kg Q3W, followed by NIV 3 mg/kg Q2WMin 38.8
923NIV 1 mg/kg plus IPI 3 mg/kg Q3W, followed by NIV 3 mg/kg Q2WMin 7.9
Morse (2019) [39]CheckMate 142MNColorectal cancerII1191191NIV 3 mg/kg plus IPI 1 mg/kg Q3W, followed by NIV 3 mg/kg Q2W13.44.0
Carneiro (2019) [36]NAMNAdrenocortical carcinomaII10101NIV 240 mg Q2W4.54.0
Horinouchi (2019) [37]ONO 4538 05JapanLung cancerII35351NIV 3 mg/kg Q2W36.04.0
ONO 4538 06JapanLung cancerII76761NIV 3 mg/kg Q2W36.04.0

AUC, area under the curve; AVE, avelumab; CBP, carboplatin; CTCAE, Common Terminology Criteria for Adverse Events; DDP, cisplatin; DOC, docetaxel; DTIC, dacarbazine; ETO, etoposide; ICC, investigator’s choice chemotherapy; IPI, ipilimumab; MN, multinational; NA, not available; NIV, nivolumab; PEM, pembrolizumab; PTX, paclitaxel; Q2W, every 2 weeks; Q3W, every 3 weeks; Q6W, every 6 weeks; SUN, sunitinib; VIN, vinflunine.

The study of Kelly et al. [32] reported pooled results of phase I and phase II clinical trials with a large sample size (n=1,738); thus, the phase I trial was also included in the analysis.

2. Pooled analysis of the time to onset

The PMT-O of all-grade irAEs ranged from 2.2 to 14.8 weeks. The four irAEs with the top shortest PMT-O were skin, hypersensitivity/infusion reaction, gastrointestinal, and neurologic events, while the longest PMT-O was observed in renal events (Fig. 1A, C, and E).
Fig. 1

The pattern of time to onset of all-grade (A, C, E) and grade ≥ 3 (B, D, F) irAEs. Circles and bars represent median values and 95% confidence intervals, respectively. Number and percent of an event indicate the incidence of the irAE. CTLA-4, cytotoxic T-lymphocyte antigen 4; IPI, ipilimumab; irAEs, immune-related adverse events; NIV, nivolumab; PD-1/PD-L1, programmed cell death protein 1 or its ligand 1. a)p < 0.05 between the comparison of time to onset of all-grade irAEs and grade ≥ 3 irAEs. A total of 3,977 and 1,261 patients were included in the analysis of all-grade and grade ≥ 3 irAEs, respectively, for PD-1/PD-L1 inhibitors; 2,958 and 1,294 patients for CTLA-4 inhibitors; 828 and 867 patients for NIV+IPI.

The PMT-O of grade ≥ 3 irAEs ranged from 4.6 to 12.2 weeks for CTLA-4 inhibitors and NIV+IPI treatment and ranged from 14.1 to 123.4 weeks for PD-1/PD-L1 inhibitors. Compared with all-grade irAEs, the PMT-O of grade ≥ 3 irAEs was significantly longer for PD-1/PD-L1 inhibitors (27.5 weeks vs. 8.4 weeks, p < 0.001) and NIV+IPI treatment (7.9 weeks vs. 6.0 weeks, p < 0.001) in overview; as for CTLA-4 inhibitors, that was significantly longer in gastrointestinal (7.0 weeks vs. 5.0 weeks, p=0.023), hepatic (9.9 weeks vs. 8.9 weeks, p=0.002), endocrine (10.6 weeks vs. 9.1 weeks, p=0.049), hypersensitivity/infusion reaction (7.4 weeks vs. 6.1 weeks, p=0.005), and neurologic events (11.1 weeks vs. 4.0 weeks, p=0.002) (Fig. 1).

3. Pooled analysis of the time to resolution

The PMT-R of all-grade irAEs ranged from 0.1 to 54.3 weeks. The five irAEs with the top shortest PMT-R were hypersensitivity/infusion reaction, gastrointestinal, pulmonary, hepatic, and renal events, which might be resolved within 10.5 weeks (Fig. 2A, E, and I). The PMT-R of grade ≥ 3 irAEs was within 7.9 weeks when excluding endocrine events (Fig. 2B, F, and J).
Fig. 2

The pattern of resolution (A, B, E, F, I, J) and immune-modulation resolution (C, D, G, H, K, L) of all-grade (A, E, I, C, G, K) and grade ≥ 3 (B, F, J, D, H, L) irAEs. Circles and bars represent median values and 95% confidence intervals, respectively. Number and percent of an event indicate the patients whose irAE resolved (A, B, E, F, I, J) and patients whose irAE resolved with usage of immune-modulation agents (C, D, G, H, K, L). CTLA-4, cytotoxic T-lymphocyte antigen 4; IM, immune-modulation; IPI, ipilimumab; irAEs, immune-related adverse events; NIV, nivolumab; PD-1/PD-L1, programmed cell death protein 1 or its ligand 1. a)p < 0.05 between the comparison of time to resolution of all-grade and grade ≥ 3 irAEs, b)p < 0.05 between the comparison of time to immune-modulation resolution of all-grade and grade ≥ 3 irAEs, c)p < 0.05 between the comparison of time to resolution and immune-modulation resolution of all-grade, d)p < 0.05 between the comparison of time to resolution and immune-modulation resolution of grade ≥ 3 irAEs. A total of 1,196 and 192 patients were included in the analysis of time to resolution and immune-modulation resolution of all-grade irAEs, respectively, for PD-1/PD-L1 inhibitors; 2,611 and 402 patients for CTLA-4 inhibitors; 1,572 and 247 patients for NIV+IPI. A total of 71 and 37 patients were included in the analysis of time to resolution and immune-modulation resolution of grade ≥ 3 irAEs, respectively, for PD-1/PD-L1 inhibitors; 348 and 194 patients for CTLA-4 inhibitors; 254 and 117 patients for NIV+IPI.

In overview, the PMT-R was comparable between grade ≥ 3 and all-grade irAEs. By organ, the PMT-R of grade ≥ 3 irAEs was significantly shorter than that of all-grade irAEs induced by NIV+IPI treatment in skin (3.1 weeks vs. 10.9 weeks, p=0.049), endocrine (11.6 weeks vs. 27.6 weeks, p < 0.001), pulmonary (1.5 weeks vs. 4.5 weeks, p=0.010), and renal events (2.4 weeks vs. 6.3 weeks, p=0.028) (Fig. 2A, B, E, F, I, J). When applying the immune-modulation drug, the time to resolution of grade ≥ 3 irAEs was significantly shorter than that of all-grade irAEs caused by PD-1/PD-L1 blockade (6.9 weeks vs. 40.6 weeks, p=0.002) and NIV+IPI treatment (3.1 weeks vs. 5.9 weeks, p=0.031) in the overview. As for CTLA-4 blockade, the PMT-IMR of grade ≥ 3 irAEs was significantly shorter than that of all-grade irAEs in skin (8.5 weeks vs. 14.4 weeks, p < 0.001), gastrointestinal (3.3 weeks vs. 4.4 weeks, p < 0.001), and hypersensitivity/infusion reaction (0.3 weeks vs. 2.1 weeks, p < 0.001) (Fig. 2C, D, G, H, K, and L). When compared with PMT-R, the PMT-IMR of all-grade irAEs caused by PD-1/PD-L1 inhibitors was significantly longer (40.6 weeks vs. 10.1 weeks, p=0.010) in overview; as for CTLA-4 inhibitors, the PMT-IMR was significantly longer in skin (14.4 weeks vs. 9.3 weeks, p=0.004), gastrointestinal (4.4 weeks vs. 2.9 weeks, p < 0.001), and hypersensitivity/infusion reaction (2.1 weeks vs. 0.1 weeks, p < 0.001) (Fig. 2A, C, E, G, I, and K). Regardless of grading, hypersensitivity/infusion reaction and endocrine events were associated with the shortest and longest PMT-IMR, respectively, which were similar to the patterns of PMT-R.

4. Subgroup analysis based on ICI drugs

NIV monotherapy was associated with significantly longer PMT-O of all-grade irAEs than NIV+IPI (8.2 weeks vs. 6.0 weeks, p < 0.001) and IPI alone (8.2 weeks vs. 6.1 weeks, p=0.012). The PMT-R was comparable between NIV+IPI and the corresponding monotherapy (Fig. 3).
Fig. 3

Kinetics (A–C) and ranking (D) of the onset and resolution of all-grade irAEs caused by nivolumab (A), IPI (B), and nivolumab plus IPI (C). The beginning and end of each curve in Fig. 3A–C represent the median time to the onset of an irAE and the median time to resolution, respectively; the peak and tail of each curve show the proportion of patients who developed an irAE and the proportion of patients whose irAE had not been resolved, respectively. The number in parentheses of Fig. 3D represents the pooled median time (weeks). The ranking is arranged from the shortest to the longest pooled median time. Items with underlining share the same ranking. IPI, ipilimumab; irAEs, immune-related adverse events; NA, not applicable; NIV, nivolumab. a)p < 0.05 between the comparison of NIV and NIV+IPI, b)p < 0.05 between the comparison of NIV and IPI, c)p < 0.05 between the comparison of IPI and NIV+IPI. A total of 1,815 and 1,196 patients were included in the analysis of time to onset and resolution, respectively, for NIV; 2,092 and 2,123 patients for IPI; 828 and 1,572 patients for NIV+IPI.

In terms of grade ≥ 3 irAEs, NIV monotherapy had the significantly longest PMT-O among these three treatments in overview (IPI vs. NIV+IPI vs. NIV: 7.4 weeks vs. 7.9 vs. 27.5 weeks; p < 0.05), especially in gastrointestinal (7.0 weeks vs. 7.4 weeks vs. 36.4 weeks, p < 0.001), endocrine (10.6 weeks vs. 12.2 weeks vs. 24.0 weeks, p < 0.05), pulmonary (6.2 weeks vs. 6.0 weeks vs. 27.5 weeks, p < 0.05), and renal events (10.0 weeks vs. 11.3 weeks vs. 123.4 weeks, p < 0.001) (S4 Table). In overview, the PMT-O and PMT-R were comparable between IPI alone and IPI+CT. By organ, the PMT-O of hepa-tic (8.9 weeks vs. 5.9 weeks, p < 0.001) and neurologic events (13.1 weeks vs. 4.0 weeks, p < 0.001) and the PMT-R of skin (9.3 weeks vs. 4.3 weeks, p=0.037) and endocrine events (54.3 weeks vs. 10.4 weeks, p < 0.001) were significantly longer in IPI cohort than in IPI+CT cohort (S5 Fig.).

5. Subgroup analysis based on ICI dose

The PMT-O and PMT-R were similar between the two different doses of IPI, except for those of endocrine events and PMT-O of neurologic events. Compared with NIV 1 mg/kg every 3 weeks and IPI 3 mg/kg every 3 weeks, significantly longer PMT-O of skin (5.1 weeks vs. 2.1 weeks, p < 0.001), hepatic (9.0 weeks vs. 6.0 weeks, p < 0.001), pulmonary (15.4 weeks vs. 10.1 weeks, p < 0.001), and renal events (15.7 weeks vs. 13.9 weeks, p=0.002) were observed in the treatment of NIV 3 mg/kg every 3 weeks and IPI 1 mg/kg every 3 weeks; the PMT-R was comparable between two doses of combination therapy in all events except for the gastrointestinal irAE (Table 2).
Table 2

Time to onset and resolution of all-grade irAEs based on ICI doses

IPI-3IPI-10NIV-1+IPI-3NIV-3+IPI-1
All categories
 No. of patients with irAE606 (13.5)1,565 (20.3)921 (29.9)402 (19.9)
  Time to onset (wk)5.1 (3.6–7.1)6.3 (4.1–8.9)4.9 (2.4–6.1)6.1 (5.2–9.0)
 No. of patients with irAE495 (87.3)1,252 (85.2)663 (79.0)607 (82.8)
  Time to resolution (wk)3.6 (2.9–11.0)4.4 (3.1–7.0)5.1 (2.9–10.9)5.0 (1.8–6.3)
Skin
 No. of patients with irAE218 (32.4)460 (35.7)288 (58.7)135 (40.1)
  Time to onset (wk)3.6 (3.6–5.1)2.6 (2.6–4.1)2.1 (2.1–2.4)[a)]5.1 (3.1–5.2)[a)]
 No. of patients with resolution179 (82.1)377 (82.0)193 (67.2)100 (70.9)
  Time to resolution (wk)11 (5.1–11.0)9.3 (3.1–9.3)10.9 (10.9–24.1)9.0 (9.0–13.1)
Gastrointestinal
 No. of patients with irAE231 (34.3)567 (44.0)207 (42.2)84 (24.9)
  Time to onset (wk)7.1 (4.6–7.6)6.3 (4.4–7.6)4.9 (3.9–4.9)6.1 (3.6–9.1)
 No. of patients with resolution218 (94.8)539 (95.1)197 (95.6)170 (96.6)
  Time to resolution (wk)2.9 (2.9–3.6)3.1 (2.1–4.0)2.9 (2.9–3.0)[a)]1.5 (1.5–2.7)[a)]
Hepatic
 No. of patients with irAE32 (4.8)223 (17.3)163 (33.2)58 (17.2)
  Time to onset (wk)8.9 (6.1–9.0)8.9 (8.1–8.9)6.0 (6.0–6.1)[a)]9.0 (7.0–10.0)[a)]
 No. of patients with resolution30 (93.8)205 (91.9)148 (90.8)117 (76.0)
  Time to resolution (wk)4.1 (2.9–4.1)4.4 (4.4–7.0)5.1 (5.1–6.1)5.0 (2.0–8.2)
Endocrine
 No. of patients with irAE57 (8.5)269 (20.9)192 (39.1)89 (26.4)
  Time to onset (wk)9.1 (8.9–9.1)[b)]10.2 (8.9–10.2)[b)]8.0 (6.0–8.0)6.1 (6.1–12.0)
 No. of patients with resolution14 (70.0)93 (53.8)57 (53.3)-
  Time to resolution (wk)3.4 (3.4–3.4)[b)]54.3 (13.9–54.3)[b)]27.6 (27.6–27.6)NA
Pulmonary
 No. of patients with irAE6 (1.9)11 (2.4)25 (8.0)22 (6.5)
  Time to onset (wk)10.1 (10.1–10.1)10.0 (10.0–10.0)10.1 (10.1–10.1)[a)]15.4 (10.5–16.6)[a)]
 No. of patients with resolution5 (83.3)11 (100)29 (96.7)114 (84.4)
  Time to resolution (wk)6.3 (6.3–6.3)3.7 (3.7–3.7)7.0 (3.0–7.0)4.5 (2.8–14.6)
Renal
 No. of patients with irAE8 (2.6)7 (1.5)32 (6.5)14 (4.2)
  Time to onset (wk)10.0 (10.0–10.0)9.7 (9.7–9.7)13.9 (8.7–13.9)[a)]15.7 (12.6–36.4)[a)]
 No. of patients with resolution7 (87.5)4 (57.1)27 (84.4)106 (83.5)
  Time to resolution (wk)2.5 (2.5–2.5)52.7 (52.7–52.7)2.1 (1.3–2.1)6.3 (1.6–6.9)
Hypersensitivity/Infusion reaction
 No. of patients with irAE8 (2.6)9 (2.0)14 (4.5)-
  Time to onset (wk)4.3 (4.3–4.3)6.1 (6.1–6.1)3.1 (3.1–3.1)NA
 No. of patients with resolution8 (100)9 (100)12 (85.7)-
  Time to resolution (wk)0.1 (0.1–0.1)0.1 (0.1–0.1)0.2 (0.2–0.2)NA
Neurologic
 No. of patients with irAE1 (0.3)19 (2.3)--
  Time to onset (wk)11.7 (11.7–11.7)[b)]13.1 (10.4–13.1)[b)]NANA
 No. of patients with resolution1 (100)14 (73.7)--
  Time to resolution (wk)0.7 (0.7–0.7)8.0 (8.0–11.6)NANA

Values are presented as number (%) or median (95% confidence interval). ICI, immune checkpoint inhibitor; IPI-1, ipilimumab 1 mg/kg Q3W; IPI-3, ipilimumab 3 mg/kg Q3W; IPI-10, ipilimumab 10 mg/kg Q3W; irAE, immune-related adverse event; NA, not available; NIV-1, nivolumab 1 mg/kg Q3W; NIV-3, nivolumab 3 mg/kg Q3W.

p < 0.05 between the comparison of NIV1+IPI3 and NIV3+IPI1,

p < 0.05 between the comparison of IPI3 and IPI10.

6. Subgroup analysis based on cancer type

The PMT-O of all-grade irAEs was significantly shorter in lung cancer cohort than in melanoma cohort (4.7 weeks vs. 6.1 weeks, p=0.017), including renal (8.2 weeks vs. 13.9 weeks, p=0.048), hypersensitivity/infusion reaction (0.2 weeks vs. 3.3 weeks, p=0.004), and neurologic (4.0 weeks vs. 13.1 weeks, p < 0.001) events (Table 3). Under the treatment of NIV 3 mg/kg every 2 weeks, two groups showed significantly different PMT-O of hepatic (lung cancer vs. melanoma: 8.0 weeks vs. 14.1 weeks, p < 0.001), hypersensitivity/infusion reaction (0.2 weeks vs. 3.3 weeks, p < 0.001), endocrine (11.2 weeks vs. 8.2 weeks, p=0.007), and pulmonary events (27.9 weeks vs. 8.7 weeks, p=0.001). The PMT-R of organ-specific irAEs were comparable between the two cancer types, except for that of skin events (S6 Table).
Table 3

Time to onset and resolution of all-grade immune-related adverse events based on cancer types

Lung cancerMelanoma
All categories
 No. of patients with irAE800 (10.0)4,359 (18.3)
  Time to onset (wk)4.7 (4.7–5.7)[a)]6.1 (5.7–7.6)[a)]
 No. of patients with irAE502 (76.9)3,222 (80.5)
  Time to resolution (wk)4.0 (2.7–9.4)4.4 (3.4–6.9)
Skin
 No. of patients with irAE270 (19.4)1,496 (40.8)
  Time to onset (wk)4.7 (2.9–5.7)4.0 (2.6–5.7)
 No. of patients with resolution178 (76.7)1,026 (72.6)
  Time to resolution (wk)9.4 (4.3–10.1)10.9 (5.1–22.1)
Gastrointestinal
 No. of patients with irAE226 (16.2)1,294 (35.3)
  Time to onset (wk)4.5 (4.4–22.4)6.3 (4.6–7.6)
 No. of patients with resolution186 (86.5)1,217 (94.3)
  Time to resolution (wk)2.7 (2.3–2.9)2.9 (2.4–3.1)
Hepatic
 No. of patients with irAE74 (5.3)542 (14.8)
  Time to onset (wk)8.0 (2.0–9.0)8.9 (6.1–9.0)
 No. of patients with resolution56 (83.6)491 (90.6)
  Time to resolution (wk)3.3 (2.0–4.0)[a)]5.1 (4.4–6.1)[a)]
Endocrine
 No. of patients with irAE107 (7.7)749 (20.4)
  Time to onset (wk)11.2 (8.9–13.3)8.9 (8.0–10.2)
 No. of patients with resolution18 (52.9)258 (53.6)
  Time to resolution (wk)10.4 (10.4–10.4)29.1 (13.9–54.3)
Pulmonary
 No. of patients with irAE25 (4.7)77 (3.1)
  Time to onset (wk)27.9 (4.8–27.9)[a)]10.1 (8.7–10.1)[a)]
 No. of patients with resolution16 (84.2)69 (89.6)
  Time to resolution (wk)5.9 (5.9–5.9)6.3 (3.0–7.0)
Renal
 No. of patients with irAE17 (3.2)70 (2.8)
  Time to onset (wk)8.2 (8.2–17.8)[a)]13.9 (9.7–15.7)[a)]
 No. of patients with resolution6 (54.5)54 (77.1)
  Time to resolution (wk)10.5 (10.5–10.5)[a)]2.3 (2.1–10.5)[a)]
Hypersensitivity/Infusion reaction
 No. of patients with irAE16 (3.0)66 (3.1)
  Time to onset (wk)0.2 (0.2–1.8)[a)]3.3 (2.2–6.1)[a)]
 No. of patients with resolution10 (100)59 (89.4)
  Time to resolution (wk)0.1 (0.1–0.1)0.1 (0.1–0.2)
Neurologic
 No. of patients with irAE65 (7.5)20 (1.7)
  Time to onset (wk)4.0 (4.0–7.1)[a)]13.1 (10.4–13.1)[a)]
 No. of patients with resolution32 (49.2)15 (75.0)
  Time to resolution (wk)28.7 (28.7–28.9)[a)]8.0 (0.7–11.6)[a)]

Values are presented as number (%) or median (95% confidence interval). irAE, immune-related adverse event.

p < 0.05 between the comparison of lung cancer and melanoma.

Discussion

Currently, ICI is considered to be a promising treatment option for patients with cancer. However, the adverse events associated with immunologic etiology cannot be ignored. Although substantial evidence has demonstrated the safety profile of ICIs, most studies have focused on the incidence and certain kinds of ICI drugs, and the typical timing of the development of irAEs remains unclear [42-46]. In this study, we aim to clarify the pattern of time to onset and resolution of ICI-induced irAEs in pan-cancers; therefore, it can provide clues for early recognition and timely management of irAEs to clinicians. The premise of the successful management of irAEs and the reduction of sequelae is mastering the general pattern. In the previous studies of patients with melanoma receiving ICI monotherapy, it was reported that skin-related irAE was the earliest event to appear (median, 2–6 weeks), followed by gastrointestinal events (6–7 weeks), while renal events were the last to appear (15 weeks). Moreover, endocrine irAEs was the last (28 weeks) event to be resolved [3,16]. The pattern reported in our study was consistent with the above findings. Apart from the commonly selected irAEs in previous studies, we also included hypersensitivity/infusion reaction and neurological events in the analysis, and the former was newly found to be the first to resolve. Severe irAEs were prone to occur later and be resolved with immune-modulation agents earlier than mild-to-moderate irAEs. On the one hand, this result may be due to the dose-dependent effect of irAEs. In a phase II trial comparing three dose administration of IPI (0.3 mg/kg, 3.0 mg/kg, and 10 mg/kg) in patients with advanced melanoma, the incidence of irAEs was 26%, 56%, and 70% and occurrence of grade 3–4 irAEs was 0%, 7%, and 25% of patients, respectively [47]. Similarly, a dose-based network meta-analysis suggested that high-dose IPI had a greater incidence of 3–4 grade irAEs than low-dose IPI [14]. Besides, in a phase I trial assessing the safety of anti–PD-1 antibody in patients with multiple cancer, an increase in the frequency of grade 3–4 irAE (0%, 4%, and 8%) was observed with an increasing dose level (0.3 mg/kg, 3.0 mg/kg, and 10 mg/kg, respectively) [48]. ICI drugs reach a higher cumulative dose in the later treatment course, therefore inducing late-onset severe irAEs. On the other hand, positive clinical management might foster the earlier resolution of severe irAEs. According to the NCCN and ESMO clinical practice guidelines for the management of immunotherapy-related toxicities, the common management would be observation and supportive treatment when initially encountered with grade 1–2 irAEs [12,13]. However, enhanced medical interventions and close nursing care will be adopted on the condition of dealing with severe irAEs. Given that ICI is a novel therapy with high hopes in the current spotlight, clinicians are more likely to find severe irAEs and perform timely resolutions. The endocrine-related irAEs featured delayed onset (8.0–12.0 weeks), the longest resolution duration, and the lowest resolution rate in all ICI regimens. This result corroborates those from a study investigating IPI, where it took 9 weeks before the onset of endocrine events [16]. The underlying reason for the long time to recover from endocrine-related irAE was that it might take time for patients to become adequately replaced with the exogenous hormone. Thus, closer follow-up is needed approximately 9 weeks after the start of treatment, and patients should be provided with appropriate education regarding this prolonged treatment, including guidelines for psychological construction, medication norms, regular follow-up time, and adjustment of drug dose. The irAEs caused by NIV+IPI generally occurred earlier than those induced by NIV alone. In a review, irAEs tended to occur earlier in the course of treatment with IPI plus an anti–PD-1 antibody compared with IPI monotherapy or anti–PD-1/(PD-L1) antibodies [15]. Similarly, a study of 1,551 patients assessed by the European Medicines Agency demonstrated that most of the irAEs occurred earlier in the NIV+IPI cohort than in the monotherapy cohort, including skin, gastrointestinal, hepatic, endocrine and renal events [49]. Although irAEs generally occurred within 14.8 weeks after the first dose of ICI drugs, they could appear several months even years after the completion of treatment. In this study, we noticed that the maximum time to onset could reach three years after starting treatment in some cases. The wide range in time of onset was also described in recent publications. The cutaneous presentation occurred in patients up to 60 weeks after the first dose of anti–PD-1 treatment in stage IV melanoma [50]. Ocular adverse effects were experienced by some patients with metastatic melanoma 1 year after the last dose of IPI [51]. Although the half-life of ICI is ascertained, such as two weeks for IPI, it may still have a biological effect for a long time after the drug is cleared [13,52]. Thus, surveillance should be reinforced and a long-term multidisciplinary follow-up should be arranged. Several limitations should be mentioned. First, irAEs were diagnosed by investigators, which might be influenced by clinical experience. Indeed, the incidence of irAEs reported by randomized controlled trials published after 2017 seemed greater than those before (76.9% vs. 58.5%). It may be because more attention has been paid to these adverse events and more clinical experience has been gained. Hence, the quantifiable criteria to clarify the definition of irAE are eagerly awaited. Second, standard deviations or quartile information of timing data were not extracted and analyzed because they were rarely reported. Nevertheless, to make a reliable estimation, the metamedian method used in this study was proved to be well-performed under this circumstance by collecting median values [20]. Third, the dataset of the group receiving anti–PD-1/PD-L1 treatment mainly originated from the trials on NIV. Thus, the applicability of corresponding results may be more specific to NIV monotherapy and the clinical trials involving ICI agents are recommended to report the time data on the development of irAEs in the future. Fourth, the subgroup analysis of cancer types involved a small number of trials, so the relevant results should be regarded with caution. The irAEs induced by ICI agents appear to be an emerging challenge in clinical practice. This study revealed the occurrence pattern of irAEs, expanding the knowledge of the characteristics of this new issue. Our findings may serve as a useful tool to help clinicians detect irAEs timely and make therapeutic decisions properly.
  50 in total

1.  Assessing the quality of reports of randomized clinical trials: is blinding necessary?

Authors:  A R Jadad; R A Moore; D Carroll; C Jenkinson; D J Reynolds; D J Gavaghan; H J McQuay
Journal:  Control Clin Trials       Date:  1996-02

2.  Safety of Nivolumab plus Low-Dose Ipilimumab in Previously Treated Microsatellite Instability-High/Mismatch Repair-Deficient Metastatic Colorectal Cancer.

Authors:  Michael A Morse; Michael J Overman; Leighanne Hartman; Taline Khoukaz; Edith Brutcher; Heinz-Josef Lenz; Ajlan Atasoy; Tong Shangguan; Huanyu Zhao; Bassel El-Rayes
Journal:  Oncologist       Date:  2019-05-30

3.  Nivolumab in Metastatic Adrenocortical Carcinoma: Results of a Phase 2 Trial.

Authors:  Benedito A Carneiro; Bhavana Konda; Rubens B Costa; Ricardo L B Costa; Vinay Sagar; Demirkan B Gursel; Lawrence S Kirschner; Young Kwang Chae; Sarki A Abdulkadir; Alfred Rademaker; Devalingam Mahalingam; Manisha H Shah; Francis J Giles
Journal:  J Clin Endocrinol Metab       Date:  2019-12-01       Impact factor: 5.958

4.  Prolonged Survival in Stage III Melanoma with Ipilimumab Adjuvant Therapy.

Authors:  Alexander M M Eggermont; Vanna Chiarion-Sileni; Jean-Jacques Grob; Reinhard Dummer; Jedd D Wolchok; Henrik Schmidt; Omid Hamid; Caroline Robert; Paolo A Ascierto; Jon M Richards; Céleste Lebbé; Virginia Ferraresi; Michael Smylie; Jeffrey S Weber; Michele Maio; Lars Bastholt; Laurent Mortier; Luc Thomas; Saad Tahir; Axel Hauschild; Jessica C Hassel; F Stephen Hodi; Corina Taitt; Veerle de Pril; Gaetan de Schaetzen; Stefan Suciu; Alessandro Testori
Journal:  N Engl J Med       Date:  2016-10-07       Impact factor: 91.245

5.  Cytotoxic Cutaneous Adverse Drug Reactions during Anti-PD-1 Therapy.

Authors:  Simone M Goldinger; Pascale Stieger; Barbara Meier; Sara Micaletto; Emmanuel Contassot; Lars E French; Reinhard Dummer
Journal:  Clin Cancer Res       Date:  2016-03-08       Impact factor: 12.531

6.  Patterns of onset and resolution of immune-related adverse events of special interest with ipilimumab: detailed safety analysis from a phase 3 trial in patients with advanced melanoma.

Authors:  Jeffrey S Weber; Reinhard Dummer; Veerle de Pril; Celeste Lebbé; F Stephen Hodi
Journal:  Cancer       Date:  2013-02-07       Impact factor: 6.860

7.  Overall Survival in Patients With Advanced Melanoma Who Received Nivolumab Versus Investigator's Choice Chemotherapy in CheckMate 037: A Randomized, Controlled, Open-Label Phase III Trial.

Authors:  James Larkin; David Minor; Sandra D'Angelo; Bart Neyns; Michael Smylie; Wilson H Miller; Ralf Gutzmer; Gerald Linette; Bartosz Chmielowski; Christopher D Lao; Paul Lorigan; Kenneth Grossmann; Jessica C Hassel; Mario Sznol; Adil Daud; Jeffrey Sosman; Nikhil Khushalani; Dirk Schadendorf; Christoph Hoeller; Dana Walker; George Kong; Christine Horak; Jeffrey Weber
Journal:  J Clin Oncol       Date:  2017-07-03       Impact factor: 44.544

8.  Safety profile of avelumab in patients with advanced solid tumors: A pooled analysis of data from the phase 1 JAVELIN solid tumor and phase 2 JAVELIN Merkel 200 clinical trials.

Authors:  Karen Kelly; Jeffrey R Infante; Matthew H Taylor; Manish R Patel; Deborah J Wong; Nicholas Iannotti; Janice M Mehnert; Anja H Loos; Helga Koch; Isabell Speit; James L Gulley
Journal:  Cancer       Date:  2018-02-22       Impact factor: 6.860

9.  Three-year follow-up results from phase II studies of nivolumab in Japanese patients with previously treated advanced non-small cell lung cancer: Pooled analysis of ONO-4538-05 and ONO-4538-06 studies.

Authors:  Hidehito Horinouchi; Makoto Nishio; Toyoaki Hida; Kazuhiko Nakagawa; Hiroshi Sakai; Naoyuki Nogami; Shinji Atagi; Toshiaki Takahashi; Hideo Saka; Mitsuhiro Takenoyama; Nobuyuki Katakami; Hiroshi Tanaka; Koji Takeda; Miyako Satouchi; Hiroshi Isobe; Makoto Maemondo; Koichi Goto; Tomonori Hirashima; Koichi Minato; Naoki Sumiyoshi; Tomohide Tamura
Journal:  Cancer Med       Date:  2019-07-29       Impact factor: 4.452

10.  Real-World Experience of Nivolumab in Non-small Cell Lung Cancer in Korea.

Authors:  Sun Min Lim; Sang-We Kim; Byoung Chul Cho; Jin Hyung Kang; Myung-Ju Ahn; Dong-Wan Kim; Young-Chul Kim; Jin Soo Lee; Jong-Seok Lee; Sung Yong Lee; Keon Uk Park; Ho Jung An; Eun Kyung Cho; Tae Won Jang; Bong-Seog Kim; Joo-Hang Kim; Sung Sook Lee; Im-Ii Na; Seung Soo Yoo; Ki Hyeong Lee
Journal:  Cancer Res Treat       Date:  2020-05-15       Impact factor: 4.679

View more
  9 in total

1.  Immune checkpoint inhibitors unleash pathogenic immune responses against the microbiota.

Authors:  Zishuo Ian Hu; Verena M Link; Djalma S Lima-Junior; Jérémie Delaleu; Nicolas Bouladoux; Seong-Ji Han; Nicholas Collins; Yasmine Belkaid
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-21       Impact factor: 12.779

2.  Development of Lymphopenia during Therapy with Immune Checkpoint Inhibitors Is Associated with Poor Outcome in Metastatic Cutaneous Melanoma.

Authors:  Dirk Tomsitz; Max Schlaak; Sarah Zierold; Giulia Pesch; Thomas U Schulz; Genoveva Müller; Christine Zecha; Lars E French; Lucie Heinzerling
Journal:  Cancers (Basel)       Date:  2022-07-05       Impact factor: 6.575

Review 3.  Predictive Biomarkers of Severe Immune-Related Adverse Events With Immune Checkpoint Inhibitors: Prevention, Underlying Causes, Intensity, and Consequences.

Authors:  Ana Cardeña-Gutiérrez; Mónica López Barahona
Journal:  Front Med (Lausanne)       Date:  2022-06-14

4.  CD21lo B Cells Could Be a Potential Predictor of Immune-Related Adverse Events in Renal Cell Carcinoma.

Authors:  Kenichi Nishimura; Tatsuya Konishi; Toshiki Ochi; Ryuta Watanabe; Terutaka Noda; Tetsuya Fukumoto; Noriyoshi Miura; Yuki Miyauchi; Tadahiko Kikugawa; Katsuto Takenaka; Takashi Saika
Journal:  J Pers Med       Date:  2022-05-28

5.  T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma.

Authors:  Alexander X Lozano; Aadel A Chaudhuri; Aishwarya Nene; Aaron M Newman; Antonietta Bacchiocchi; Noah Earland; Matthew D Vesely; Abul Usmani; Brandon E Turner; Chloé B Steen; Bogdan A Luca; Ti Badri; Gunsagar S Gulati; Milad R Vahid; Farnaz Khameneh; Peter K Harris; David Y Chen; Kavita Dhodapkar; Mario Sznol; Ruth Halaban
Journal:  Nat Med       Date:  2022-01-13       Impact factor: 87.241

6.  Lenvatinib plus pembrolizumab in patients with advanced or recurrent uterine carcinosarcoma.

Authors:  Jonathan T Hunt; Laura M Chambers; Meng Yao; Amy Joehlin-Price; Robert Debernardo; Peter G Rose
Journal:  Gynecol Oncol Rep       Date:  2021-07-24

7.  Vascular Normalization to Improve Treatment of COVID-19: Lessons from Treatment of Cancer.

Authors:  Lance L Munn; Triantafyllos Stylianopoulos; Natalie K Jain; C Corey Hardin; Melin J Khandekar; Rakesh K Jain
Journal:  Clin Cancer Res       Date:  2021-03-01       Impact factor: 13.801

Review 8.  Important Surgical and Clinical End Points in Neoadjuvant Immunotherapy Trials in Resectable NSCLC.

Authors:  Jay M Lee; Anthony W Kim; Tomasz Marjanski; Pierre-Emmanuel Falcoz; Masahiro Tsuboi; Yi-Long Wu; Shawn W Sun; Barbara J Gitlitz
Journal:  JTO Clin Res Rep       Date:  2021-08-26

Review 9.  Adverse Renal Effects of Anticancer Immunotherapy: A Review.

Authors:  Maciej Borówka; Stanisław Łącki-Zynzeling; Michał Nicze; Sylwia Kozak; Jerzy Chudek
Journal:  Cancers (Basel)       Date:  2022-08-23       Impact factor: 6.575

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.