Literature DB >> 29643991

Serum levels of soluble CD163 and CXCL5 may be predictive markers for immune-related adverse events in patients with advanced melanoma treated with nivolumab: a pilot study.

Taku Fujimura1, Yota Sato1, Kayo Tanita1, Yumi Kambayashi1, Atsushi Otsuka2, Yasuhiro Fujisawa3, Koji Yoshino4, Shigeto Matsushita5, Takeru Funakoshi6, Hiroo Hata7, Yuki Yamamoto8, Hiroshi Uchi9, Yumi Nonomura2, Ryota Tanaka3, Megumi Aoki5, Keisuke Imafuku7, Hisako Okuhira8, Sadanori Furudate1, Takanori Hidaka1, Setsuya Aiba1.   

Abstract

Antibodies against PD-1, such as nivolumab and pembrolizumab, are widely used in the treatment of various cancers including advanced melanoma. The anti-PD-1 Ab significantly prolongs survival in patients with metastatic melanoma, and its administration in combination with local or systemic therapy may also lead to improved outcomes. Although anti-PD-1 Ab-based combined therapy might be effective for the treatment of advanced melanoma, the associated risk of irAEs is an important consideration. Therefore, being able to predict irAEs is of great interest to oncologists. The purpose of this study was to evaluate the value of using serum levels of sCD163 and CXCL5 to predict irAEs in patients with advanced melanoma who were administered nivolumab. To this end, we analyzed these serum levels in 46 cases of advanced melanoma treated with nivolumab. In addition, the tumor stroma was evaluated by immunohistochemistry and immunofluorescence. We measured the serum levels of sCD163 and CXCL5 on day 0 (immediately before nivolumab administration) and day 42. The serum absolute levels of sCD163 were significantly increased in patients who developed AEs (p = 0.0018). Although there was no significant difference in serum levels of CXCL5, the absolute value of CXCL5 could at least be a supportive marker for the increased absolute levels of serum sCD163. This study suggests that sCD163 and CXCL5 may serve as possible prognostic biomarkers for irAEs in patients with advanced melanoma treated with nivolumab.

Entities:  

Keywords:  CXCL5; POSTN; TAMs; melanoma; sCD163

Year:  2018        PMID: 29643991      PMCID: PMC5884646          DOI: 10.18632/oncotarget.24509

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

The program cell death-1/programmed death-ligand 1 (PD-1/PD-L1) pathway plays a critical role in the tumor immune response; thus, anti-PD-1 antibodies (Abs), such as nivolumab and pembrolizumab, are widely used in the treatment of various cancers including advanced melanoma [1-3]. The anti-PD-1 Ab significantly prolongs survival in patients with metastatic melanoma, and its administration in combination with local [4-8] or systemic therapy (e.g., ipilimumab, epacadostat) [2, 9] may also lead to improved outcomes. Although anti-PD-1 Ab-based combined therapy might prove effective for the treatment of advanced melanoma, the associated risk of immune-related adverse events (irAEs) such as severe hepatitis, interstitial pneumonia, colitis, type 1 diabetes mellitus, hypophysitis, or myasthenia gravis is an important consideration [2]. Therefore, the prediction of irAEs is of great interest among oncologists. Tumor-associated macrophages (TAMs) are characterized by their heterogeneity and plasticity, and may be functionally reprogrammed to polarized phenotypes by exposure to cancer-related factors, stromal factors, or infection, leading to the production of various chemokines that are specific to each cancer [10-14]. Concerning metastatic melanoma, periostin (POSTN) was found to be expressed in the region surrounding melanoma cell nests in the metastatic melanoma lesions of wounded mice and humans [15], suggesting that it might stimulate TAMs to produce chemokines that induce melanoma-specific tumor-infiltrating lymphocytes (TILs) in melanoma patients with systemic inflammation. As we previously reported, upon POSTN stimulation, M2 macrophages produce several immunosuppressive and autoimmune-related chemokines including CXCL5 [14]. Notably, CXCL5 is a biomarker of T helper 17 cell-mediated autoimmune diseases such as multiple sclerosis, rheumatoid arthritis, and pemphigus vulgaris [16-18]; and soluble CD163 (sCD163) is a TAM marker that appears in the serum as a result of proteolytic shedding [19]. We previously reported that both CXCL5 and sCD163 might predict irAEs in 17 patients with advanced melanoma patients treated with nivolumab [8, 20]. In this report, we further analyzed the serum levels of sCD163 and CXCL5 in 46 cases of advanced melanoma treated with nivolumab.

RESULTS

Patients

We collected data from 46 patients treated with nivolumab (Table 1). The mean patient age was 66.5 years (range, 31–93 years) and 52.8% were males. The most common site of the primary tumor was in the extremities (39.1%), followed by mucosal origin (30.4%), trunk (15.2%), head/neck (6.5%), and the ocular region (2.2%). A dose of 2 mg/kg nivolumab was administered to the patients followed by 3 weeks of rest. The incidence of AE development was 45.7% (Grade 4: 6.5%, Grade 3: 15.2%, Grade 2: 19.6%, Grade 1: 6.5%), and the average onset of irAE development was 136 days (range, 21–370).
Table 1

Patient characteristics and serum levels of sCD163 and CXCL5

AgeSexOnset of irAELocationsCD163 (ng/ml)CXCL5 (pg/ml)irAEGrade
168M237Extremities115.78294335.56162835hypophisitis4
236M55Extremities–44.23121476–17.57753725hepatitis4
361M245Extremities–11.4747151174.0938997interstitial pneumonia4
483F370Extremities40.72768869–31.97872991radiation dermatitis3
585F27Other/Unknown–25.44524995–91.17233749chronic inflammatory demyelinating polyneuropathy3
666F214Ocular43.18056154–22.79478559rheumarthritis3
734M84Trunk–19.9297031961.91409025biliary tract disorder3
868M60Extremities36.99828277–27.63658318bursitis3
977M346Trunk21.42662403–54.81110386psoriasiform dermatitis3
1067F23Mucosa20.55968805–15.27295948psoriasiform dermatitis3
1175F42Mucosa140.8945355–1.171878513interstitial pneumonia2
1254F126Mucosa3.937154859–15.87606189diarrhea2
1362F121Trunk–36.4146062–48.4018883adrenal insufficiency2
1481F77Extremities–22.47729919–70.94219363thyroid dysfunction2
1567M132Extremities34.166064286.260637076hypophisitis2
1661F21Extremities–8.525671721–3.390285544thyroid dysfunction2
1765M221Extremities–76.455209552.912773985thyroid dysfunction2
1869F62Mucosa–33.2933694125.19612409thyroid dysfunction2
1976F210Extremities28.36775442103.3236074hypophisitis2
2033F84Extremities77.546914630.457742932hypophisitis1
2177F143Mucosa–41.53950593–24.59772023adrenal insufficiency1
2262M92Other/Unknown–47.99843144–11.35075991adrenal insufficiency1
2360MN.A.Trunk–4.542122094–16.16551984N.A.N.A.
2434FN.A.Extremities–29.557182650.254223734N.A.N.A.
2561FN.A.Mucosa–47.76858108–80.42942923N.A.N.A.
2676MN.A.Trunk–26.66666667–19.75628258N.A.N.A.
2779MN.A.Head/Neck–8.395159834–18.21571007N.A.N.A.
2884FN.A.Trunk4.932359223–2.175956805N.A.N.A.
2968MN.A.Extremities14.99180027–24.6852751N.A.N.A.
3093MN.A.Extremities1.9392610482.454790431N.A.N.A.
3174MN.A.Trunk–22.075244441.421405214N.A.N.A.
3254MN.A.Mucosa–4.745006346–10.67711099N.A.N.A.
3367MN.A.Extremities3.416168176–40.954426N.A.N.A.
3470MN.A.Head/Neck–12.31934772–26.09262273N.A.N.A.
3565MN.A.Mucosa11.102205681.102732526N.A.N.A.
3679FN.A.Extremities–30.3560427514.93305921N.A.N.A.
3772MN.A.Mucosa–4.40651476194.1480243N.A.N.A.
3889MN.A.Other/Unknown–0.721084093–26.81119932N.A.N.A.
3955FN.A.Mucosa3.39038392244.79528142N.A.N.A.
4082MN.A.Mucosa46.1757349833.3969329N.A.N.A.
4173MN.A.Extremities–19.03589077–7.105634886N.A.N.A.
4262FN.A.Trunk–58.2641284431.31318466N.A.N.A.
4331FN.A.Head/Neck–15.773166189.483456384N.A.N.A.
4464MN.A.Mucosa8.07822786920.27538744N.A.N.A.
4577FN.A.Mucosa–42.70869091–27.32383979N.A.N.A.
4665FN.A.Extremities–16.12972729–24.15391828N.A.N.A.

Serum levels of sCD163 and CXCL5 from each patient (n = 46) on days 0 and 42 were examined by ELISA.

Serum levels of sCD163 and CXCL5 from each patient (n = 46) on days 0 and 42 were examined by ELISA.

Serum levels of sCD163 and CXCL5

To determine whether serum levels of sCD163 and CXCL5 may predict AEs in patients treated with nivolumab, we evaluated their levels in 46 patients with advanced melanoma treated with nivolumab. Compared to baseline (day 0), the absolute value of sCD163 serum levels at day 42 were significantly increased in the group that developed irAEs compared with the group lacking irAEs (p = 0.0018; Figure 1A), whereas there was no significant difference in the absolute value of serum CXCL5 (Figure 1B). The increase or decrease of serum sCD163 and CXCL5 in each patient (Table 1) and each irAE (Table 2) is described. The cut-off point was determined using Youden’s index. The threshold of the change rate of serum sCD163 was ± 21.3%, while the threshold of the change rate of serum CXCL5 was ± 35.6%. The sensitivity of serum sCD163 was 72.7%, whereas that of CXCL5 was 50%. The specificity of serum sCD163 was 75.0%, whereas that of CXCL5 was 81.8% (Figure 1C).
Figure 1

ROC curve of serum levels of sCD163 or CXCL5

The change in serum levels of sCD163 (A) and CXCL5 (B) from each patient (n = 46) with or without irAE on day 42. The ROC curve was applied to calculate the cut-off values of the sCD163 or CXCL5 serum levels and AUC (C). The cut-off point was determined using Youden’s index.

Table 2

Serum levels of sCD163 and CXCL5 in each irAE

CaseirAEGradesCD163 (ng/ml)sCD163CXCL5 (pg/ml)CXCL5
1hypophisitis4115.782943+35.56162835+
15hypophisitis234.16606428+6.260637076+
19hypophisitis228.36775442+103.3236074+
20hypophisitis177.54691463+0.457742932+
14thyroid dysfunction2−22.47729919−70.94219363
16thyroid dysfunction2−8.525671721−3.390285544
17thyroid dysfunction2−76.455209552.912773985+
18thyroid dysfunction2−33.2933694125.19612409+
13adrenal insufficiency2−36.4146062−48.4018883
21adrenal insufficiency1−41.53950593−24.59772023
22adrenal insufficiency1−47.99843144−11.35075991
9psoriasiform dermatitis321.42662403+−54.81110386
10psoriasiform dermatitis320.55968805+−15.27295948
3interstitial pneumonia4−11.4747151174.0938997+
11interstitial pneumonia2140.8945355+−1.171878513
2hepatitis4−44.23121476−17.57753725
4radiation dermatitis340.72768869−31.97872991
5chronic inflammatory demyelinating polyneuropathy3−25.44524995−91.17233749
6rheumarthritis343.18056154−22.79478559
7biliary tract disorder3−19.92970319+61.91409025+
8bursitis336.99828277−27.63658318

Serum levels of sCD163 and CXCL5 from each patient (n = 46) on days 0 and 42 were examined by ELISA in each irAE.

ROC curve of serum levels of sCD163 or CXCL5

The change in serum levels of sCD163 (A) and CXCL5 (B) from each patient (n = 46) with or without irAE on day 42. The ROC curve was applied to calculate the cut-off values of the sCD163 or CXCL5 serum levels and AUC (C). The cut-off point was determined using Youden’s index. Serum levels of sCD163 and CXCL5 from each patient (n = 46) on days 0 and 42 were examined by ELISA in each irAE.

Tissue samples, immunohistochemistry, and immunofluorescence

Because sCD163 is an activation marker for CD163+ tissue macrophages [27], CXCL5 is produced from CD163+ macrophages by POSTN stimulation [14], and POSTN in melanoma is augmented by nonspecific inflammation such as wound healing [15], we hypothesized that the administration of nivolumab in advanced melanoma might increase the expression of POSTN in melanoma tissue, leading stimulated CD163 macrophages to produce sCD163 and CXCL5. To prove our hypothesis, we performed immunohistochemical staining for POSTN and CD163 in five patients with in-transit advanced melanoma without irAEs, and in two patients with in-transit advanced melanoma with irAEs. The expression of POSTN in in-transit melanoma was augmented in stromal fibroblasts in patients with irAE, especially after nivolumab administration (Figure 2A). In contrast, the expression of POSTN in in-transit melanoma from irAE-developed patients before administration of nivolumab (Figure 2B) and in-transit melanoma from non-irAE-developed patients (Figure 2C) was low in fibroblasts distributed in peritumoral lesions. The semi-quantitative analysis of POSTN expression is described in Table 3. CD163+ cells were detected in each group (Figure 2D). The number of CD163+ cells significantly increased in patients with irAEs (Supplementary Figure 1). Notably, immunofluorescence staining revealed that CD163+ macrophages were distributed in POSTN-expressing areas (Figure 3A), suggesting that POSTN in melanoma can stimulate CD163+ macrophages to produce CXCL5 (Figure 3B).
Figure 2

POSTN expression in in-transit melanoma

Sections of in-transit melanoma from patients with irAE after nivolumab (A) and before nivolumab administration (B), and patients without irAE (C) were deparaffinized and stained using anti-POSTN (A, B, C) or anti-CD163 Abs (D). The signal was developed with 3-amino-9-ethylcarbazole.

Table 3

Semi-quantitative analysis of immunohistochemical staining of POSTN

irAE gradePre treatmentPost treatment
Case 14++++
Case 43++++
Case 230+++
Case 280+++
Case 410++
-negative
+weak
++moderate
+++intense

The intensity of immunohistochemical staining of POSTN was scored on a semi-quantitative scale.

Figure 3

CD163+ cells in in-transit melanoma

Immunofluorescence staining of in-transit melanoma for (A) POSTN (green), CD163 (red), and DAPI (blue, nucleus), and (B) CXCL5 (green), CD163 (red), and DAPI (blue, nucleus). A merged image is also shown. Merged green and red stain yellow. Representative specimens from five cases are shown.

POSTN expression in in-transit melanoma

Sections of in-transit melanoma from patients with irAE after nivolumab (A) and before nivolumab administration (B), and patients without irAE (C) were deparaffinized and stained using anti-POSTN (A, B, C) or anti-CD163 Abs (D). The signal was developed with 3-amino-9-ethylcarbazole. The intensity of immunohistochemical staining of POSTN was scored on a semi-quantitative scale.

CD163+ cells in in-transit melanoma

Immunofluorescence staining of in-transit melanoma for (A) POSTN (green), CD163 (red), and DAPI (blue, nucleus), and (B) CXCL5 (green), CD163 (red), and DAPI (blue, nucleus). A merged image is also shown. Merged green and red stain yellow. Representative specimens from five cases are shown.

DISCUSSION

Because of nivolumab’s higher efficacy than other anti-melanoma drugs (e.g., ipilimumab and dacarbazine) [1, 21], and because it induces a longer duration of anti-tumor response than BRAF/MEK inhibitors (e.g., vemurafenib, dabrafenib, and trametinib) [22, 23], oncologists have been particularly interested in combining nivolumab with agents that enhance the anti-tumor immune response in patients with metastatic melanoma [3, 8, 24, 25]. The efficacy of nivolumab is significantly increased when combined with ipilimumab (57.7%); however, unfortunately, the rate of severe treatment-related AEs (Grade 3 or 4) is also significantly increased with this particular combination (55.0%) [2, 24]. These findings suggest the importance of predicting irAEs to avoid severe complications using simple methods. Indeed, Fujisawa et al. [26] reported that the decrease of lymphocytes fraction could predict irAEs caused by nivolumab, but only in the very short period before irAE development. Since the interval for nivolumab administration is 2 or 3 weeks for melanoma patients, other prognostic biomarkers are needed for long intervals. CD163 is a member of the scavenger receptor cysteine-rich family, and is exclusively expressed on cells of monocyte/macrophage lineage [19, 27]. In lesions of various skin cancers, CD163+ macrophages are a main component of TILs that can produce various chemokines by stimulating cancer-specific stromal factors such as POSTN, IL-4, and RANKL [11, 14, 28]. sCD163 is an activation marker for CD163+ tissue macrophages that is present in the serum as a result of proteolytic shedding [19]. Notably, serum sCD163 levels increase in autoimmune diseases such as atherosclerosis, rheumatoid arthritis, pemphigus vulgaris, and bullous pemphigoid [17, 19, 28], and reflect disease activity [19]. In aggregate, sCD163 could be a macrophage activation marker to predict the production of cancer-specific chemokines from TAMs in different skin cancers. CXCL5 is a chemokine that can recruit neutrophils and CXCR2+ myeloid cells, including myeloid-derived suppressor cells (MDSCs) and monocytes that can be a precursor of TAMs in tumor-bearing hosts [29]. Recently, Katoh et al. [29] reported that the inhibition of CXCR2+ MDSC recruitment into colonic mucosa and tumors dramatically suppress colonic inflammation, suggesting that CXCR2+ MDSCs are essential for colitis-associated cancer. In another report, Steele et al. [30] suggested that CXCR2 signaling in the myeloid component can promote pancreatic tumorigenesis and is required for pancreatic cancer metastasis. Zhang et al. [31] reported that the depletion of MDSCs decreased IL-17A and IL-1β production, leading to therapeutic effects of arthritis in a mouse model, suggesting the importance of pro-inflammatory MDSCs in autoimmune disease. MDSCs are a heterogeneous population of cells that can be induced by tumor-associated inflammation, including autoimmune related cytokines such as IL-1β and IL-6 [32]. Because POSTN is an extracellular matrix protein that can be detected in the dermis of various skin inflammatory disorders including autoimmune disease such as scleroderma, pemphigus vulgaris, and bullous pemphigoid [17, 33], POSTN in melanoma might stimulate MDSCs to further produce chemokines such as CXCL5. In this report, we analyzed the serum levels of sCD163 and CXCL5 in 46 cases of advanced melanoma treated with nivolumab. The tumor stroma of melanoma had increased expression of POSTN upon administration with nivolumab, and POSTN stimulated TAMs to release CXCL5 [14]. The increased absolute value of serum levels of sCD163 and CXCL5 in a patient who develops adverse nivolumab-induced, immune-related events is presumably related to POSTN-stimulated TAM activation. Therefore, in the setting of nivolumab therapy, sCD163 and CXCL5 serum levels may serve as valuable predictors of irAEs [8, 20]; thus, we measured serum levels of sCD163 and CXCL5 at day 0 (immediately before nivolumab administration) and day 42. In addition, as presented in Table 2, the change in levels of sCD163 and CXCL5 tend to differ in each irAE. Although we could not determine the precise reasons, one possible explanation of this observation is that the time point of TAM activation differs in each irAE. Because the recruitment of effector cells to target organs is indispensable for the development of irAEs, and since one of the main sources of chemokines are macrophages, the activation of macrophages is important for the development of irAEs. Decreased serum levels of sCD163, especially in cases of thyroid dysfunction or adrenal insufficiency, indicates that CD163+ macrophages have been activated and effector cells have been recruited to the target organ, both of which underly the development of irAEs by nivolumab. Therefore, serum levels of sCD163 were significantly increased or decreased in patients who developed AEs (p = 0.013). This phenomenon could be explained by the heterogeneity of TAMs, which consist of macrophages in various phases of activation [34]. Indeed, the serum levels of CXCL5 correlate with autoimmune diseases such as multiple sclerosis, rheumatoid arthritis, glomerulonephritis, pemphigus vulgaris, and bullous pemphigoid with several inflammation factors [16–18, 35], though the main sources of CXCL5 is not fully investigated in each reports. Thus, although there was no significant difference in CXCL5 levels, the change rate of CXCL5 may be a useful marker for predicting the organs affected by irAEs. Because this was a pilot study, future independent studies with a larger patient cohort are needed to confirm our findings.

Ethics statement for animal and human experiments

The protocol for the human study was approved by the ethics committee of Tohoku University Graduate School of Medicine, Sendai, Japan (Permit No: 2017-1-377).

PATIENTS AND METHODS

Data from patients who were treated with nivolumab were collected from six clinical sites in Japan. Patients were eligible if they had unresectable stage III melanoma, if their tumor was resectable but they had declined resection, or if they had stage IV melanoma with accessible cutaneous, subcutaneous, and/or nodal lesions (patients were staged according to the AJCC Staging Manual, 7th Edition, 2011). All patients received 2 mg/kg nivolumab followed by a 3-week rest period or 3 mg/kg nivolumab followed by 2 weeks of rest, both of which are the approved dosing schedule in Japan. Serum from patients was obtained on days 0 and 42. In our 46 cases, case 5 was administered systemic steroid on day 28, and the serum levels in this case may have been affected by systemic steroid. The other two cases (cases 10 and 16) were treated with topical steroid (case 10) or levothyroxine sodium hydrate (case 16). On days 0 and 42 after nivolumab administration, we analyzed the serum levels of soluble sCD163 and CXCL5 by enzyme-linked immunoassay (ELISA) according to the manufacturer’s protocol (R&D Systems, Minneapolis, MN, USA). The serum levels on day 42 were compared to baseline (day 0) and statistically analyzed.

Reagents

The following Abs were used for immunohistochemistry: mouse anti-human CD163 monoclonal (Novocastra, Tokyo, Japan) and rabbit polyclonal anti-POSTN (Abcam, Tokyo, Japan). The following Abs were used for immunofluorescence: mouse anti-human CD163 phycoerythrin-conjugated monoclonal antibody (R&D Systems), rabbit polyclonal POSTN (Abcam), and Alexa Fluor 488-conjugated anti-rabbit goat IgG (Abcam). Archival formalin-fixed paraffin-embedded skin specimens were collected from five patients with in-transit advanced melanoma without irAEs, and from two patients with in-transit advanced melanoma with irAEs (Grades 2 and 3 hypophysitis), who were treated in the Department of Dermatology at Tohoku University Graduate School of Medicine. All patients gave written informed consent. The in-transit melanoma samples were processed for single staining of CD163a and POSTN, and the signal was developed with 3-amino-9-ethylcarbazole (Nichirei Bioscience, Tokyo, Japan). For cryosections, five cases of in-transit melanoma samples were frozen in optimal cutting temperature embedding medium (Sakura Finetek Japan Co. Ltd., Tokyo, Japan), and 6 μm thick sections were fixed in cold acetone for 30 min and blocked in immunofluorescence buffer (phosphate-buffered saline, 5% bovine serum albumin). Thereafter, each section was incubated with the relevant antibodies. The slides were mounted in DAPI Fluoromount-G (Southern Biotech, Birmingham, AL, USA) and examined using a Zeiss LSM 700 microscope equipped with a Spot digital camera.

Statistical methods

The receiver operating characteristic (ROC) curve was applied to calculate the cut-off values for the serum levels of sCD163 or CXCL5 and the area under the curve (AUC). The cut-off point was determined using Youden’s index. The ROC curves were established to evaluate the serum levels of sCD163 and CXCL5 in patients who developed irAEs. For a single comparison between two groups, the Mann–Whitney U-test or Student’s t-test was used. Correlation coefficients were determined using the Spearman’s rank correlation test. The level of significance was set at p < 0.05. All statistical analyses were performed using JMP 13.1 software (SAS Institute Inc., Tokyo, Japan).
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Journal:  Semin Cancer Biol       Date:  2019-07-19       Impact factor: 15.707

3.  Peripheral Blood Markers Identify Risk of Immune-Related Toxicity in Advanced Non-Small Cell Lung Cancer Treated with Immune-Checkpoint Inhibitors.

Authors:  Alberto Pavan; Lorenzo Calvetti; Alessandro Dal Maso; Ilaria Attili; Paola Del Bianco; Giulia Pasello; Valentina Guarneri; Giuseppe Aprile; PierFranco Conte; Laura Bonanno
Journal:  Oncologist       Date:  2019-04-23

4.  Clinical outcomes of NSCLC patients experiencing early immune-related adverse events to PD-1/PD-L1 checkpoint inhibitors leading to treatment discontinuation.

Authors:  Marco Russano; Alessio Cortellini; Raffaele Giusti; Alessandro Russo; Federica Zoratto; Francesca Rastelli; Alain Gelibter; Rita Chiari; Olga Nigro; Michele De Tursi; Sergio Bracarda; Stefania Gori; Francesco Grossi; Melissa Bersanelli; Lorenzo Calvetti; Vincenzo Di Noia; Mario Scartozzi; Massimo Di Maio; Paolo Bossi; Alfredo Falcone; Fabrizio Citarella; Francesco Pantano; Corrado Ficorella; Marco Filetti; Vincenzo Adamo; Enzo Veltri; Federica Pergolesi; Mario Alberto Occhipinti; Linda Nicolardi; Alessandro Tuzi; Pietro Di Marino; Serena Macrini; Alessandro Inno; Michele Ghidini; Sebastiano Buti; Giuseppe Aprile; Eleonora Lai; Marco Audisio; Salvatore Intagliata; Riccardo Marconcini; Davide Brocco; Giampiero Porzio; Marta Piras; Erika Rijavec; Francesca Simionato; Clara Natoli; Marcello Tiseo; Bruno Vincenzi; Giuseppe Tonini; Daniele Santini
Journal:  Cancer Immunol Immunother       Date:  2021-08-31       Impact factor: 6.968

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

Review 6.  Advances on immune-related adverse events associated with immune checkpoint inhibitors.

Authors:  Yong Fan; Yan Geng; Lin Shen; Zhuoli Zhang
Journal:  Front Med       Date:  2020-08-10       Impact factor: 4.592

7.  Serum Level of Soluble CD163 May Be a Predictive Marker of the Effectiveness of Nivolumab in Patients With Advanced Cutaneous Melanoma.

Authors:  Taku Fujimura; Yota Sato; Kayo Tanita; Yumi Kambayashi; Atsushi Otsuka; Yasuhiro Fujisawa; Koji Yoshino; Shigeto Matsushita; Takeru Funakoshi; Hiroo Hata; Yuki Yamamoto; Hiroshi Uchi; Yumi Nonomura; Ryota Tanaka; Megumi Aoki; Keisuke Imafuku; Hisako Okuhira; Naoko Wada; Hiroyuki Irie; Takanori Hidaka; Akira Hashimoto; Setsuya Aiba
Journal:  Front Oncol       Date:  2018-11-19       Impact factor: 6.244

8.  Selective HDAC6 inhibitors improve anti-PD-1 immune checkpoint blockade therapy by decreasing the anti-inflammatory phenotype of macrophages and down-regulation of immunosuppressive proteins in tumor cells.

Authors:  Tessa Knox; Eva Sahakian; Debarati Banik; Melissa Hadley; Erica Palmer; Satish Noonepalle; Jennifer Kim; John Powers; Maria Gracia-Hernandez; Vasco Oliveira; Fengdong Cheng; Jie Chen; Cyril Barinka; Javier Pinilla-Ibarz; Norman H Lee; Alan Kozikowski; Alejandro Villagra
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

9.  Radiomics of 18F Fluorodeoxyglucose PET/CT Images Predicts Severe Immune-related Adverse Events in Patients with NSCLC.

Authors:  Wei Mu; Ilke Tunali; Jin Qi; Matthew B Schabath; Robert James Gillies
Journal:  Radiol Artif Intell       Date:  2020-01-29

Review 10.  The dark side of immunotherapy.

Authors:  Nwanneka Okwundu; Douglas Grossman; Siwen Hu-Lieskovan; Kenneth F Grossmann; Umang Swami
Journal:  Ann Transl Med       Date:  2021-06
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