What this is
- Cholangiocarcinoma (CCA) patients show varied responses to tumor , a regulated form of cell death.
- This study examines the relationship between markers, immune cell infiltration, and patient outcomes in CCA.
- Findings suggest that activation correlates with favorable immune signatures and improved survival rates.
Essence
- activation, indicated by pMLKL, is positively associated with a favorable immune cell signature and longer overall survival in cholangiocarcinoma patients. In contrast, MLKL expression correlates with poorer outcomes.
Key takeaways
- activation (pMLKL) correlates positively with CD8+ T cell and FOXp3+ T cell infiltration, indicating a favorable immune environment.
- Patients with a favorable immune/MLKL signature (high CD8+/high FOXp3+/low CD163+/low MLKL) have significantly better disease-free survival (DFS) compared to those with an unfavorable signature.
- High pMLKL expression is linked to increased PD-L1 expression, suggesting a potential mechanism for improved survival through enhanced anti-tumor immunity.
Caveats
- The study's findings are based on a limited sample size of 88 CCA patients, which may affect the generalizability of the results.
- Further research is needed to clarify the roles of and MLKL in CCA, as the current study does not establish causation.
Definitions
- Necroptosis: A regulated form of cell death that triggers inflammation and immune responses, distinct from apoptosis.
Simplified
Introduction
Cholangiocarcinoma (CCA) is a highly heterogeneous malignancy that could arise at any level of the biliary tree. CCA is classified into intra- (iCCA) and extra- (eCCA) hepatic cholangiocarcinoma in which eCCA can be further subdivided into perihilar (pCCA) and distal (dCCA)1. Despite recent advances in the development of early detection and identification of novel therapeutic targets in several human malignancies, most CCA patients are typically diagnosed at advanced clinical stages, and treatment options are enormously limited because overall survival rates have by no means been improved2.
The interaction between tumor and inflammatory/immune cells and chronic inflammation in the tumor microenvironment (TME) has been considered to play critical roles in tumorigenesis, progression, recurrence, and cancer patients’ therapeutic responses3. Infiltration of inflammatory and immune cells and their impact on patient outcomes have been continuously reported in CCA. High infiltration of tumor-infiltrating CD8+, CD4+, and FOXp3+ regulatory (Tregs) T cells and low CD163+ M2 macrophages (TAMs) were found to be significantly correlated with a longer overall survival in eCCA patients4. In addition, an immune high-risk signature characterized by high tumor-associated neutrophils (TANs), high FOXp3+, and low CD8+ T cells was recently reported to be significantly associated with poor disease-free and overall survival rates (DFS and OS) and resistance to gemcitabine treatment after recurrence in eCCA patients5. Therefore, immunotherapy was proposed as a potential strategy for the treatment of CCA patients2,6. In addition, a particular subgroup of CCA patients represented as an inflamed subtype generally characterized by a massive T cell infiltration, inflammatory and immune checkpoint activation was proposed to potentially benefit from checkpoint blockade immunotherapy7. Therefore, systemic analysis toward a better understanding of the interplay between inflammatory/immune cells and their responses, particularly immunogenic dying cells in TME, should lead to the novel development of more efficient cancer immunotherapy.
Necroptosis is a regulated form of cell death in a caspase-independent manner. In contrast to apoptosis, necroptosis is known to elicit marked inflammatory responses and adaptive immunity. Upon necroptosis activation, receptor-interacting protein kinase 1 (RIPK1) interacts with receptor-interacting protein kinase 3 (RIPK3) through their RIP homotypic interaction motif (RHIM) domains, resulting in the formation of a necrosome complex8. In this complex, the mixed lineage kinase domain-like protein (MLKL) is phosphorylated by RIPK3, subsequently leading to its oligomerization and translocation to the plasma membrane, resulting in rapid membrane permeabilization9–11 and the release of intracellular contents, including damage-associated molecular patterns (DAMPs)12.
Accumulating studies have demonstrated that necroptosis could play important roles in several human diseases, including cancers. Necroptosis in the spectrum of immunogenic cell death (ICD) has also been proposed as a promising novel cancer therapy13–16. On the one hand, necroptosis evokes strong adaptive immune responses and, therefore, may trigger and enhance anti-tumor immunity and cancer immunotherapy; on the other hand, the associated inflammatory responses could also promote cancer development and progression. Necroptosis of endothelial cells in the tumor microenvironment has been reported to promote tumor cell extravasation and metastasis17,18, and necroptosis of tumor cells can also promote cancer metastasis19. RIPK3 depletion could generate an immunosuppressive tumor microenvironment and tumorigenesis in pancreatic adenocarcinoma (PDA) experimental mouse model20. A recent study demonstrated that necroptosis in hepatic microenvironments can direct lineage commitment to switch from hepatocellular carcinoma (HCC) to CCA21. In addition, radiation-induced necroptosis was also reported to contribute to tumor cell repopulation and recurrence in colorectal cancer22. However, it is also true that necroptosis was found to function as a tumor suppressor, although its mechanisms have remained virtually unknown23,24. Most necroptosis in cancer, however, has been reported in vitro and/or animal models, but it is entirely true that these studies are enormously limited by the lack of comparative evaluation in clinical settings.
Therefore, in this study, we systematically analyzed the associations of key necroptotic proteins, necroptosis activation, PD-L1, tumor-infiltrating immune cells and their impact on clinical outcomes and anti-tumor immunity in CCA patients. In addition, in vitro experiments were performed to provide the possible underlying mechanisms of tumor necroptosis-promoted immune cell infiltration and PD-L1 expression. Our results provide valuable information toward a better understanding of necroptosis, MLKL in CCA, and for a potential cancer immunotherapy as well as novel prognostic markers.
Results
Higher expression of MLKL is associated with poor survival rates in CCA patients

Key necroptotic protein expression and the associations with survival rates in CCA patients. Distributions of RIPK3 () and MLKL () expression levels according to H-score of tumor and adjacent area. Kaplan–Meier overall (OS) and disease-free survival (DFS) curves divided by the median of H-score of RIPK3 () and MLKL () expression (high vs low). A B C D
MLKL is an unfavorable prognostic factor for patients with CCA
| Factor | Univariate | Multivariate | ||||||
|---|---|---|---|---|---|---|---|---|
| 95% CI | HR | -valuep | 95% CI | HR | -valuep | |||
| Gender | 0.745 | 2.177 | 1.274 | 0.376 | ||||
| Age (MED = 67 years) | 0.797 | 2.602 | 1.44 | 0.227 | ||||
| Type | 1.322 | 4.173 | 2.349 | 0.004 | 0.255 | 15.347 | 1.979 | 0.514 |
| HistoGradeEU | 0.188 | 1.04 | 0.442 | 0.061 | ||||
| Tumor size (MED = 35 mm) | 0.842 | 2.703 | 1.508 | 0.167 | ||||
| RIPK3 (MED= 160)H-Score | 0.883 | 2.507 | 1.488 | 0.136 | ||||
| MLKL (MED= 120)H-Score | 1.135 | 3.95 | 2.117 | 0.018 | 1.106 | 3.872 | 2.07 | 0.023 |
| Vascular invasion | 0.273 | 0.848 | 0.481 | 0.011 | 0.586 | 33.958 | 4.461 | 0.149 |
| Neural/perineural invasion | 0.354 | 1.102 | 0.625 | 0.104 | ||||
| Lymph node invasion | 0.364 | 1.11 | 0.636 | 0.111 | ||||
| TNM stage | 0.547 | 1.625 | 0.942 | 0.831 | ||||
Necroptosis is activated in human CCA patients

Necroptosis detection in human CCA primary tissues. () The representative membranous pMLKL immunostaining in primary CCA tissues. Black arrowheads indicate bile ducts and pMLKL positive staining. Four representative images obtained from four CCA patients with different pMLKL labeling index including 1. 92%, 2. 88%, 3. 65%, and 4. 39%, respectively. () The representative of positive signal (red dots) for RIPK1-RIPK3 interaction in primary CCA tissues using PLA assay. () The representative of double staining for pMLKL immunofluorescence staining and RIPK1-RIPK3 using PLA and in primary CCA tissues. White arrowheads indicate bile ducts and positive staining () The pMLKL and PLA (RIPK1-RIPK3) status of 5 selected CCA patients. A B C D
Higher pMLKL is associated with better OS and DFS in CCA patients

Necroptosis activation and its association with survival rates in CCA patients. () Distribution of pMLKL expression according to % labeling index calculation. () Kaplan–Meier overall (OS) and disease-free (DFS) survival curves divided by the median of % labeling index of pMLKL expression. A B
The distribution of tumor-infiltrating immune cells and their impact on patient survival rates

Differential associations of necroptosis activation and MLKL with inflammatory/immune cells infiltration. () Box plots showing the distributions of tumor-infiltrating CD8+ T cells, FOXp3+ T cells, and CD163+ M2 macrophages. () The correlation analysis of necroptosis activation (pMLKL) and MLKL with CD8+ T cells, FOXp3+ T cells, and CD163+ M2 macrophages. () Boxplot representing the relationship between the infiltration of CD8+ T cells in tumor central area and pMLKL positive staining (Mann–Whitney-test). () Kaplan–Meier survival analysis of CCA patients divided by a favorable MLKL/immune signature (high CD8+ /high FOXp3+ /low CD163+ /low MLKL) and an unfavorable MLKL/immune signature (low CD8+ /low FOXp3+ /high CD163+ /high MLKL) for overall (OS) and disease-free (DFS) survival rates. A B C D U
Necroptosis activation is positively correlated with a favorable immune signature
We next investigated the relationship between necroptosis activation and different types of inflammatory/immune cells. As previously shown, it seems likely that MLKL and necroptosis activation (indicated by pMLKL) were differentially associated with survival rates of patients. We therefore also compared the correlation of necroptosis activation (pMLKL) and MLKL with tumor-infiltrating inflammatory/immune cells. Interestingly, pMLKL was positively correlated with CD8+ T cells (r = 0.281, p-value = 0.011) and FOXp3+ T cells (r = 0.253, p-value = 0.022) (Fig. 4B). It is also worth mentioning that we observed a relationship between CD8+ T cell infiltration in the tumor central area with pMLKL-positive staining, with increased pMLKL-positive staining being significantly associated with high CD8+ T cell abundance in the intratumoral infiltration (p-value = 0.006) (Fig. 4C, Supplementary Fig. S6). Conversely, MLKL was negatively correlated with CD8+ T cells (r = − 0.224, p-value = 0.041) and positively correlated with CD163+ macrophages (r = 0.263, p-value = 0.014) (Fig. 4B). These results demonstrated that necroptosis activation (pMLKL) was positively correlated with a favorable immune signature (high CD8+/high FOXp3+/low CD163+), whereas MLKL was positively associated with an unfavorable immune signature (low CD8+/low FOXp3+/high CD163+).
A favorable immune/MLKL signature is correlated with longer disease-free survival
To be more precise and specific, a signature model based on expression profiles of MLKL and tumor-infiltrating inflammatory/immune cells were constructed. CCA patients with a high CD8+/high FOXp3+/low CD163+/low MLKL expression profile were classified as a favorable immune/MLKL signature. On the other hand, patients with a low CD8+/low FOXp3+/high CD163+/high MLKL expression profile were classified as an unfavorable immune/MLKL signature. Kaplan–Meier survival curves demonstrated that a favorable immune/MLKL signature was significantly associated with better DFS (p-value = 0.023, HR = 3.926) with higher hazard ratios when compared with a single prognostic factor (high CD8+/high FOXp3+/low CD163+, p-value = 0.008, HR = 3.347; MLKL, p-value = 0.016, HR = 2.117) (Fig. 4D). The median of DFS in patients with a favorable immune/MLKL signature was 15 months compared with that of 9 months for patients with an unfavorable immune/MLKL signature (Fig. 4D).
Necroptosis activation is positively correlated with an immune checkpoint—PD-L1 expression

The relationship between necroptosis activation and immune checkpoint (PD-L1) expression. () The correlation analysis of pMLKL and PD-L1. Kaplan–Meier () overall survival (OS) curve and () disease-free survival (DFS) curve stratified by two groups of pMLKL and PD-L1 expression (high pMLKL/high PD-L1 and low pMLKL/low PD-L1). A B C
Necroptosis activation in CCA cells promotes cytokine expression

Tumor necroptosis increases proinflammatory cytokine and chemokine expression. () RMCCA-1 cells were treated with TSZ for 8 h. The transcriptional change of TNF-α, IL-1β, CXCL1, CXCL2, CXCL8, CXCL9, CXCL10, CCL3, CCL4, CCL20, MCP-1, ICAM-1, and CSF-1 were measured by qRT-PCR. () The time-course analysis of the selected chemokine gene expression, including CXCL2, CXCL8, CCL3, and CCL20 following TSZ treatment in RMCCA-1 () The percentage of cell death after stimulation with TSZ for indicated time points using AnnexinV/PI staining and analyzed by flow cytometry.) RMCCA-1 cells were treated with TNF-α or SM-164 (S) or SM-164 and zVAD-fmk (SZ) or apoptosis induction (TS). The cells were also pretreated with necrostatin-1 (Nec-1), a necroptosis inhibitor, followed by TSZ treatment for 24 h. A B C (D
Necroptotic-conditioned medium stimulates Jurkat T cells to induce PD-L1 expression in CCA cells

Tumor necroptosis promotes T cell activation to upregulate PD-L1 expression in CCA cells. () Western blot analysis for PD-L1 expression of RMCCA-1 and HuCCT-1 treated with IFNγ at 10 and 50 ng/ml for indicated time points. () The correlation analysis of CD8+ T cells or CD8+ T cells/Foxp3+ ratio with PD-L1 expression in CCA cells () Schematic of treatment conditions, RMCCA-1 cells were treated with DMSO or TSZ for 8 h and conditioned medium (CM) were collected. Jurkat cells were stimulated with the conditioned medium and the conditioned medium from each treatment conditions were collected as shown. () Western blot analysis for PD-L1 expression of RMCCA-1 treated with conditioned media from Jurkat. A B C D
Discussion
Necroptosis-based cancer therapy has been proposed as a potential novel strategy that could enhance cancer immunotherapy, but its functional roles in tumorigenesis have remained unknown because both pro- and anti-tumoral effects have been reported as described above. Our studies provided a list of novel findings on necroptosis in human malignancy and demonstrated the differential roles between MLKL and necroptosis activation (pMLKL) in CCA patients. MLKL, which might function independently of its role in necroptosis, was an unfavorable prognostic factor for patients with CCA. Both pMLKL and RIPK1–RIPK3 interaction were detected in human CCA primary tissues. Of particular interest, pMLKL status was significantly positively correlated with a clinically favorable immune signature (high CD8+/high FOXp3+/low CD163+), whereas MLKL was positively associated with a clinically unfavorable immune signature (low CD8+/low FOXp3+/high CD163+). In addition, this is the first study to demonstrate the relationship between necroptosis activation and PD-L1 expression and revealed that their associations also impact patient survival rates. In vitro experiments demonstrated that tumor necroptosis promoted the expression of proinflammatory cytokines and chemokine genes and induced Jurkat T cells to upregulate PD-L1 expression in CCA cells. Collectively, the results of the present study suggested that in contrast to MLKL, necroptosis activation may have anti-tumorigenic roles, and necroptosis-based treatment in combination with immune checkpoint inhibitors, could provide more efficient treatment for CCA patients.
In our previous study analyzed from the TCGA database, we demonstrated the upregulation of key necroptotic proteins, including RIPK1, RIPK3, and MLKL in CCA primary tissues compared to normal bile ducts25. We confirmed the expression of RIPK3 and MLKL in CCA clinical specimens by IHC staining. Our study was the first to demonstrate that MLKL expression was significantly upregulated in CCA clinical specimens. In agreement with our study, high expression of MLKL was also reported in PDA20. Interestingly, patients with high MLKL were associated with worse survival rates; this result was not consistent with other malignancies, including PDA33, gastric cancer34, colon cancer35, ovarian cancer36, cervical cancer37, and breast cancer38 in which MLKL expression level was decreased in tumor tissues, and low MLKL was associated with worse survival rates in those cancers. Hence, those studies suggested that MLKL might play an anti-tumorigenic role, probably through necroptosis activation. Further studies are required to explore the functional roles of MLKL in CCA, either through necroptosis activation or independent of its role in necroptosis.
Necroptosis has been implicated in various malignancies. However, growing evidence in most of the studies relied on experimental knockout of key necroptotic proteins, including RIPK3 and MLKL or chemical inhibitors in experimental animal models39. In addition, the clinical relevance of necroptosis activation in human clinical samples has remained largely unknown. To the best of our knowledge, only few studies have reported necroptosis activation by pMLKL detection in human malignancies19,40,41. We used the same antibody obtained from Abcam (ab187091) for IHC19,40 and IF41 staining of pMLKL as in those studies above, but in our present study, pMLKL immunoreactivity was clearly located in the cell membrane in both HT-29 cell block, a positive control, and human CCA primary tissues compared to an elevated cytoplasmic staining or no clear staining pattern reported in the other studies aforementioned. In addition, no research has been reported regarding the application of an in situ PLA assay to determine RIPK1 and RIPK3 interaction in human clinical specimens. In the present study, RIPK1–RIPK3 interaction and pMLKL were also detected in the very same tumor cells, indicating the activation of necroptosis in CCA. It is true that the functional roles of necroptosis in cancer have remained not necessarily established and, therefore, we further explored the potential impact of necroptosis activation on the survival of CCA patients in this study. In contrast to MLKL expression, we revealed that patients with high pMLKL tended to survive for longer. However, one of the limitations in our present study was a rather unsatisfactory number of cases available for examination, thereby resulting in an inadequate statistical power. These results were inconsistent with a study in colon and esophageal patients, in which a relatively high level of pMLKL was reported to be associated with adverse clinical outcome of the patients40. The results of a recent study in a breast cancer mouse model were also consistent with those above, in which pMLKL was increased during the progression of mouse breast cancer, indicating that necroptosis might be involved in cancer progression and metastasis19. Therefore, further investigations are required to clarify the roles of necroptosis in CCA patients.
Necroptosis associated with marked inflammatory response has been reasonably postulated to modulate the tumor microenvironment. However, none has demonstrated an association between the activation of intratumoral necroptosis and inflammatory/immune cell infiltration in human malignancies. Our study was consistent with a previous study in CCA patients, in which their preliminary data demonstrated a direct association between RIPK3 expression and the intratumoral infiltration of CD8+ T cells (only abstract available42,43). In contrast, the analysis of PDA in an experimental mouse model with RIPK3 deletion demonstrated a significantly increased number of CD4+ and CD8+ T cells but decreased number of FOXp3+, TAMs, and myeloid-derived suppressor cells (MDSC), indicating that deletion of RIPK3 was indeed associated with increased T cell infiltration and reduced immunosuppressive myeloid cells20. Therefore, this study is the first one to demonstrate the correlation of necroptosis activation and tumor-infiltrating immune cells in the actual tumor microenvironment of human malignancies.
MLKL was a clinically unfavorable independent prognostic marker and inversely correlated with a clinically favorable immune cell signature (high CD8+/high FOXp3+/low CD163+). Conversely, necroptosis activation (pMLKL) was positively correlated with a clinically favorable immune cell signature in our study of CCA patients. These results demonstrated the differential roles of MLKL and its role in necroptosis activation in CCA patients. Accumulating evidence indicates the newly identified functions of MLKL beyond necroptosis, including regulating the generation of intraluminal and extracellular vesicles44,45 and endothelial cell adhesion gene expression46; however, the functional roles and a deeper mechanistic understanding of non-necroptotic functions of MLKL in cancers, including CCA, require further investigation47. Consistent with other studies in these patients, infiltration of CD8+ T cells and CD163+ M2 macrophages were both significantly associated with longer and shorter patient survival in our CCA cohorts, respectively4,5,48–50 but the FOXp3+ regulatory T cells reported to suppress immune responses against tumor cells and to be correlated with poor clinical outcome has remained an opposing finding compared to other types of cancers51. Previous studies in two different cohorts of extrahepatic CCA patients also reported a discrepancy regarding the potential roles of FOXp3+ T cells; the results of our present study were consistent with those of Gosper et al.4 and also two recent reports in colorectal cancer patients52,53. FOXp3+ T cells can be further divided into subsets based on their expression levels of FOXp3+ and CD45RA indicating naïve and effector Treg T cells and non-suppressive T cells54. Therefore, the quantification of the percentage of non-suppressive T cells is likely to help clarify the clinical relevance of FOXp3+ in CCA and reduce the limitation in this study, although further investigations are necessary for clarification.
Necroptosis has recently emerged as a potential target of cancer therapy in conjunction with cancer immunotherapy. Necroptotic cancer cells can provide both tumor-specific antigens and DAMPs to dendritic cells, potentially also amplifying the process of antigen cross-priming and the activation of CD8+ cytotoxic T cells13,55. In this study, we firstly demonstrated a significant positive correlation between necroptosis activation (pMLKL) and infiltration of CD8+ T cells in human cancer patients. Interestingly, CD8+ T cell infiltration was observed in tumor areas with pMLKL-positive staining. Infiltration of CD8+ T cells, a key player in anti-tumor immunity, was significantly associated with a longer DFS, suggesting that necroptosis-based cancer therapy could be a potential therapeutic option for CCA patients, improving the clinical outcomes through activation of the immune system. We conducted in vitro experiments to further explore the association of necroptosis and intratumoral CD8+ T cell infiltration. Tumor necroptosis has been shown to create an inflammatory tumor microenvironment and intratumoral infiltration of CD8+ T cells28, probably mediated through cell-autonomous production of cytokines and release of DAMPs13,29. In agreement with a previous study29, we showed that necroptosis of CCA cells promoted the upregulation of proinflammatory cytokine and chemokine gene expression. The proinflammatory cytokines and chemokines, including CXCL1, CXCL2, CXCL8, CXCL10, CCL4, CCL20, MCP-1, and ICAM-1 have been shown to be involved in the recruitment of various immune cells including CD8+ T cells56. Therefore, the production of these cytokines and chemokines upon necroptosis activation in CCA cells might contribute to the recruitment of immune cells into the CCA tumor microenvironment, supporting the positive correlation of necroptosis activation and the infiltration of CD8+ T cells in CCA patients. Further studies in an immunocompetent animal model of CCA are required to clarify the association of tumor necroptosis and intratumoral CD8+ T cell infiltration in an in vivo setting.
In conclusion, this is the first study in human cancer patients to systematically analyze and compare the associations of MLKL and necroptosis activation with tumor-infiltrating immune cells in the tissue CCA microenvironment and their impact on clinical outcomes of the patients themselves. Our findings demonstrated the differential associations of MLKL and necroptosis activation with a clinically favorable immune signature and survival and should contribute to a better understanding of the clinical significance of necroptosis activation and more likely a non-necroptotic function of MLKL. Together with the significant positive correlation between necroptosis activation and an immune checkpoint, the presence of high PD-L1 and high pMLKL in tumor cells were implicated in the longer OS. Moreover, our in vitro experiments further support the association of tumor necroptosis and intratumoral infiltration of CD8+ T cells and demonstrate the potential role of the relationship between tumor necroptosis and PD-L1 expression that is probably mediated through tumor necroptosis-promoted T cell activation. The results of our study, therefore, highlighted a novel therapeutic possibility for the combination of a necroptosis-based therapeutic approach with immune checkpoint inhibitors toward prolonging the survival time of CCA patients.

Proposed mechanisms of necroptosis activation-promoted immune cell infiltration and PD-L1 expression in cholangiocarcinoma. Necroptosis activation in CCA cells increases proinflammatory cytokine and chemokine production which creates inflammatory tumor microenvironment and recruits tumor-infiltrating immune cells and T cell trafficking to the tumor microenvironment. Moreover, the release of damage-associated molecular patterns (DAMPs) from the necroptotic CCA cells activate T cells, which in turn promote PD-L1 expression in CCA cells. *Created with BioRender.com
Materials and methods
Antibodies
Anti-RIPK3 (ab72106), anti-MLKL (ab184718), anti-pMLKL (ab187091), and anti-FOXp3 (ab20034) were purchased from Abcam (Cambridge, UK); anti-PD-L1 (E1L3N) was obtained from Cell Signaling Technology (Danvers, Massachusetts, USA); anti-RIPK1 (610459) was bought from BD Biosciences (San Jose, California, USA); anti-CD8 (M7103) was purchased from Dako (Agilent) (Santa Clara, California, USA); and anti-CD163 (NCL-L-CD163) was purchased from Leica Biosystems (Wetzlar, Germany).
Patient selection and clinical data collection
Formalin-fixed and paraffin-embedded (FFPE) tissue specimens were retrieved from a total of 88 CCA patients (Intrahepatic CCA = 21 samples and Hilar CCA = 67 samples) who had undergone curative surgery at Tohoku University Hospital, Sendai, Japan between 2005 and 2015. Informed consent was obtained from all patients before surgery. Clinicopathological parameters of the individual patients examined are summarized in Supplementary Table. None of the patients received neoadjuvant therapy before surgery. The study protocol was approved by IRB of Tohoku University School of Medicine, Sendai, Japan. All experiments were performed in accordance with relevant guidelines and regulations. S1
Preparation of cell block HT-29 cells
The cell blocks were prepared for optimization and validation of pMLKL staining and in situ PLA assay. HT-29 cells were solidified using iPGell (Genostaff, Tokyo, Japan) according to the manufacturer’s instructions. Briefly, cells were collected and fixed with 10% neutral-buffered formalin for 10 min. Solutions A and B were added to solidify the cells. The clot was gently removed from the tube and transferred to a tissue cassette. Subsequently, a tissue cassette was soaked into ethanol and xylene and finally embedded in paraffin.
Immunohistochemical (IHC) staining
Tissue sections (3 µm) were cut, and tissues were deparaffinized and hydrated in xylene and ethanol, respectively, then autoclaved for 5 min in an antigen retrieval solution—sodium citrate buffer (pH 6.0). The slides were blocked with 3% hydrogen peroxide at room temperature for 10 min and then incubated with primary antibodies at 4 °C overnight. Subsequently, the slides were incubated with biotin-streptavidin horseradish peroxidase-conjugated secondary antibody (Nichirei Bioscience, Japan) at room temperature for 1 h; after that, the antigen–antibody complexes were visualized with 3,3′-diaminobenzidine tetrahydro-chloride solution and then counterstained with hematoxylin. Tissue sections of normal human liver or pancreas were used as a positive control for RIPK3 staining, whereas normal tonsil was the positive control for MLKL staining. For the negative controls, the primary antibodies were omitted in the procedure of immunostaining.
Scoring of immunoreactivity
Histopathological and immunohistochemical analysis were determined by 5 of the authors (TL, PA, MH, KM, and HU) using multi-headed light microscopy (BX50; Olympus, Tokyo, Japan). All tissue sections were scored in a semiquantitative manner. For semiquantitative analysis of immunoreactivity of RIPK3, MLKL, and PD-L1, the modified H-score was employed. The H-score was defined by a > 500 tumor cell count from 3 different representative fields, giving a possible range of 0–300. The H-score was calculated from the formula (%Strong × 3) + (%Moderate × 2) + %Weak. H-scores of 0–50, 51–100, 101–200, and 201–300 indicated that RIPK3 and MLKL expression intensities were negative, low, moderate, and strong, respectively. Low and high RIPK3, MLKL, and PD-L1 expression were divided based on the median H-score of all specimens.
Evaluation of pMLKL staining and quantitative evaluation of immune cell infiltration
The pMLKL was classified by labeling index using the following formula: Labeling index (%) = number of pMLKL-positive cells × 100/number of total cells counted. Inflammatory/immune cell infiltration was initially determined by H&E staining. To quantify the tumor-infiltrating inflammatory/immune cells, three non-overlapping fields with high numbers of tumor-infiltrating immune cells (hot spots) were selected (Supplementary Fig.). The stained slides were scanned and digitally converted into virtual slides using NanoZoomer (Hamamatsu Photonics K.K., Japan). Inflammatory/immune cells were counted under high power magnification (× 400) by two of the investigators (TL and HU) using digital image analysis (Halo imaging analysis software; Indica Labs, Corrales, New Mexico, USA). For statistical analyses, low and high CD8 + T cells, FOXp3 T cells, and CD163 + macrophages were grouped using the median as a cutoff. S4
Immunofluorescence (IF) staining
Paraffin sections (3 μm) were dewaxed with xylene and ethanol. Antigen retrieval was performed by heating the slides in an autoclave at 121 °C for 5 min in citrate buffer (pH 6.0). The slides were incubated for 30 min at room temperature with blocking solution and were then incubated with primary antibodies at 4 °C overnight. The slides were subsequently incubated with Alexa Fluor 488 anti-rabbit and Alexa Fluor 555 anti-mouse secondary antibodies (Invitrogen, Carlsbad, California, USA) at room temperature for 1 h. The reacted slides were then mounted with mounting medium with DAPI (Invitrogen, Carlsbad, California, USA).
In situ proximity ligation assay (in situ PLA)
Duolink in situ PLA kit (Olink Bioscience, Uppsala, Sweden) was used to detect RIPK1–RIPK3 interaction. Paraffin sections (3 μm) were dewaxed and rehydrated; antigen retrieval was then carried out in Tris–EDTA buffer pH 9.0 at 125 °C for 20 min in an autoclave. The slides were incubated at 37 °C for 30 min with blocking solution and were then incubated with primary antibodies (mouse anti-RIPK1 and rabbit anti-RIPK3) at 4 °C overnight. The slides were then incubated with PLA PLUS and MINUS probes for mouse and rabbit at 37 °C for 1 h. Ligation-Ligase solution was added and incubated at 37 °C for 30 min. Amplification polymerase solution was subsequently added and incubated at 37 °C for 100 min. The slides were mounted with mounting medium and stained with DAPI.
Cell lines and culture
HuCCT-1, a human CCA cell line, was obtained from the Japanese Collection of Research Bioresources (JCRB) Cell Bank, Osaka, Japan. RMCCA-1, a human CCA cell line, was developed from Thai patients with CCA70. Both HuCCT-1 and RMCCA-1 were cultured in HAM’s F-12 medium (HyClone Laboratories, Logan, Utah, USA) supplemented with 10% fetal bovine serum (Sigma, St Louis, Missouri, USA) and 1% Penicillin–Streptomycin (HyClone Laboratories, Logan, Utah, USA). Jurkat, a human T cell line, was obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA). Jurkat was cultured in RPMI (HyClone Laboratories, Logan, Utah, USA) supplemented with 10% fetal bovine serum (Sigma, St Louis, Missouri, USA) and 1% Penicillin–Streptomycin (HyClone Laboratories, Logan, Utah, USA). All cell lines were cultured in a humidified incubator at 37 °C with 5% CO2. All cell lines were tested for mycoplasma contamination and were mycoplasma free.
Necroptosis treatment and collection of conditioned medium
Necroptosis induction in RMCCA-1, RMCCA-1 was pretreated with Smac mimetic, SM-164 (10 nM) and zVAD-fmk (20 μM) for 30 min. Then, the cells were treated with TNF-α (10 ng/ml). Necrostatin-1 (Nec-1), a necroptosis inhibitor, was used at a concentration of 30 μM. For the collection of conditioned medium from RMCCA-1, necroptosis was induced by TSZ treatment for 8 h. After that, the culture medium was removed and replaced with fresh serum-free RPMI. Cells were incubated for an additional 24 h. The conditioned medium was collected and centrifuged at 3000 rpm for 5 min to remove cell debris prior to using it to stimulate Jurkat T cells. Resting Jurkat T cells (1 × 106 cells) were incubated with 1 ml of the conditioned medium of TSZ- (necroptosis) or DMSO-treated (control) RMCCA-1 for 24 h. The conditioned medium was collected as described above. Naïve RMCCA-1 (2 × 105 cells) were incubated with 1 ml of the conditioned medium obtained from Jurkat T cells stimulated with the necroptotic (TSZ) or control (DMSO) conditioned media or RPMI medium. The experimental setup is shown in Fig. 7C.
RNA preparation, reverse transcription, and real-time PCR
Total RNA was extracted from cells using TRIzol reagent (Invitrogen, Carlsbad, California, USA). RNA (1 μg) was reverse-transcribed using RevertAid Reverse Transcriptase (Thermo Fisher Scientific, Waltham, Massachusetts, USA) with oligo (dT) 18 primer according to the manufacturer's protocol. Real-time PCR was performed by using an iTaq™ universal SYBR® Green supermix (Bio-Rad, Hercules, California, USA) following the manufacturer’s instructions. All PCR primers used in this study are listed in Supplementary Table. PCR cycling parameters were 95 °C for 30 s, followed by 40 cycles of 95 °C for 15 s and 57 °C for 30 s, and fluorescence signals were measured in real time. GAPDH was used as an internal control to normalize the amount of total RNA added to each reaction, and relative gene expressions are presented with the ΔΔCt method. The results are expressed as fold induction over control cells. S5
Western blot analysis
Cells were lysed in RIPA buffer (Merck Millipore, Darmstadt, Germany) with a proteinase inhibitor cocktail (Roche, Mannheim, Germany). Total proteins were separated by 10% gel SDS-PAGE and subsequently transferred onto PVDF membranes. The membranes were incubated with PD-L1 antibody (E1L3N) (Cell Signaling Technology, Danvers, Massachusetts, USA). Actin (4970) (Cell Signaling Technology, Danvers, Massachusetts, USA) was used as a loading control. The proteins were visualized by enhanced chemiluminescence according to the manufacturer’s instructions (Bio-Rad, Hercules, California, USA). All Western blots shown are representative of at least three independent experiments.
Statistical analysis
All statistical analyses were conducted using the software package SPSS for Windows. Independent prognostic factors were identified by multivariate analysis with a Cox-regression model. DFS and OS of patients were defined as the interval time from the date of resection to the date of cancer recurrence and the date of death from cancer, respectively. The cumulative survival times of patients were estimated by the Kaplan–Meier method, and statistical differences between two groups were calculated by a log-rank test. Pearson’s correlation methods were performed to determine whether there was a positive or negative correlation between two groups. The Mann–Whitney U-test was used for two-group comparisons. All p-values less than 0.05 were considered statistically significant.
Supplementary Information
Supplementary Information.