Low expression of neural cell adhesion molecule, CD56, is associated with low efficacy of bortezomib plus dexamethasone therapy in multiple myeloma

Aberrant tryptophan metabolism leads to unfavorable outcomes in lenalidomide-treated myeloma patients

Indoleamine 2,3-dioxygenase 1 (IDO), an enzyme that metabolizes tryptophan (Trp) to kynurenine (Kyn), is an important microenvironmental factor suppressing antitumor immunity. Here, we investigated the clinical impact of aberrant Trp metabolism in patients with multiple myeloma (MM) treated with lenalidomide (Len) and evaluated its effects on T cell immunity ex vivo. Kyn and Trp concentrations were quantified in sera from 72 patients with relapsed or refractory MM prior to the initiation of therapy with Len plus dexamethasone (Ld). Associations of the Kyn/Trp ratio with progression-free survival (PFS) and overall survival (OS) were analyzed. The expressions of IDO in tumor and stromal cells were evaluated during co-culture, and the effects of culture medium containing low Trp and high Kyn concentrations on T cells in the presence of Len were investigated. Patients with high serum Kyn/Trp ratios (≥46.0, n = 22) had significantly shorter PFS and OS than those with low ratios (4.9 vs. 12.6 months, and 15.5 vs. 45.7 months, respectively). MM cells promoted IDO expression in stromal cells during co-culture in both a direct contact and an indirect manner. Incubation in medium with a high Kyn/Trp ratio significantly inhibited T cell cytokine production and upregulated the expression of inhibitory immune receptors. These effects were sustained even in the presence of Len. In conclusion, a high serum Kyn/Trp ratio is associated with poor prognosis in patients with MM. We propose that aberrant Trp metabolism reduces anti-tumor immunity and the efficacy of Len therapy.

Immunophenotypic expression profile of multiple myeloma cases at a tertiary hospital in Nairobi Kenya

Introduction

Multiple myeloma (MM) is a plasma cell neoplasm that constitutes 10-15% of all hematopoietic neoplasms. Kenya is placed among the top five African countries for MM incidence and MM-related mortality. Prior studies have suggested that the aberrant expression of Cyclin D1, CD56, CD117 and Ki-67 on neoplastic plasma cells is useful in disease prognostication. The prevalence and significance of expression of these markers in a cohort of MM cases in Kenya has not been studied previously.

Methods

A retrospective cross-sectional study was carried out at the Aga Khan University Hospital, Nairobi. The study population included 83 MM cases with available trephine blocks archived between 1st of January 2009 and 31st of March 2020. Immunohistochemical expression of Cyclin D1, CD56, CD117, and Ki-67 was analyzed and scored. The biomarkers were described using frequencies based on the positive and negative results. Fisher's exact test was used to determine the association between the immunophenotypic markers and categorical variables.

Results

Of the 83 selected cases, expression of Cyclin D1, CD56, CD117 and Ki-67 was identified in 28.9, 34.9, 7.2, and 50.6%, respectively. Cyclin D1 positivity was significantly associated with hypercalcemia. Absence of CD117 expression was noted to be associated with adverse risk parameters including an IgA isotype or light chain disease, International Staging System (ISS) stage III disease, abnormal baseline serum free light chains (sFLC) and a high plasma cell burden.

Conclusion

Cyclin D1 expression was congruent with previously reported studies. The frequency of CD56 and CD117 expression was lower than previously reported. This may be due to differences in disease biology between the study populations. Approximately half of cases were Ki-67 positive. Our data showed limited associations between the expression of studied markers and clinicopathologic variables. However, this could be attributed to the small study sample size. We would recommend further characterization of the disease in a larger prospective study with the inclusion of survival outcomes and cytogenetic studies.

Newly diagnosed multiple myeloma patients with CD56 expression benefit more from autologous stem cell transplantation

BACKGROUND

Several studies showed that lack of CD56 expression was a poor prognostic factor for patients with newly diagnosed multiple myeloma (NDMM). However, other studies were not able to confirm the prognostic value of CD56 in NDMM. This study aimed to evaluate the prognostic value of CD56 expression for patients with NDMM who received autologous stem cell transplantation (ASCT).

METHODS

We retrospectively analyzed 370 patients with NDMM under 66 years old and the propensity score matching technique was used to reduce the bias between two groups.

RESULTS

CD56 expression was observed in 250 (67.6%) patients, and only half of transplant-eligible patients received ASCT for financial and adverse effects concerns after induction therapy. 54.8% (137/250) CD56 positive patients received ASCT; and 47.5% (57/120) CD56 negative patients received ASCT. Univariate and multivariate analyses showed that ASCT was correlated with longer overall survival (OS) (p < 0.001) and progression-free survival (PFS) (p < 0.001) for CD56 positive patients. However, ASCT had no impact on OS and PFS in univariate and multivariate analysis (p > 0.05). In the propensity score matching analysis, 186 CD56 positive patients were identified, 93 patients had received ASCT and 93 patients had no ASCT. Among 120 CD56 negative patients, 80 patients, 40 in each group, were identified. Among 186 matched CD56 positive patients, patients with ASCT had longer OS (87.6 vs.56.1 months, p = 0.049) and PFS (36.7 vs.30.9 months, p = 0.040). However, ASCT had no impact on OS and PFS for matched CD56 negative patients (p > 0.05).

CONCLUSIONS

These results demonstrated that ASCT may improve OS and PFS of CD56 positive patients and had no impact on survival of CD56 negative patients.

Dual Negativity of CD56 and CD117 Links to Unfavorable Cytogenetic Abnormalities and Predicts Poor Prognosis in Multiple Myeloma

The prognostic value of CD56 and CD117 expression on myeloma cells is controversial. This study aims to analyze the correlation of CD56 and CD117 expression with cytogenetic abnormalities and survival. A total of 128 patients with newly diagnosed multiple myeloma (NDMM) were recruited in this single-center retrospective study. Flow cytometry and FISH tests of marrow cells were performed for all of the subjects. The statistical methods included a chi-squared test, univariate and multivariate COX regressions, and a Kaplan-Meier survival curve analysis. Regarding the cytogenetics, the incidence of IgH/FGFR3 translocation was more frequent in patients with a negative CD56 (p = 0.003). CD56 negativity was an independent adverse factor associated with a poor prognosis (p = 0.019) and indicated a shorter overall survival (OS) (p = 0.021). Patients with dual negative CD56 and CD117 trended toward a poorer OS (CD56−CD117− vs. CD56+CD117−, p = 0.011; CD56−CD117− vs. CD56+CD117+, p = 0.013). In conclusion, CD56 is a prognostic marker that independently affects OS and is associated with adverse cytogenetic abnormalities. Patients with a dual negativity of CD56 and CD117 have a worse clinical outcome.

Prognostic significance of CD56 antigen in newly diagnosed multiple myeloma: A real-world retrospective study

The prognostic value of plasma cell CD56 expression of patients with multiple myeloma (MM) has been reported in many studies, but the results are controversial. This study aimed to examine the prognostic significance of CD56 in MM patients. Eighty seven patients with newly diagnosed MM were enrolled in this study, and their clinical characteristics, immunophenotypes, and cytogenetics were retrospectively analyzed to explore the prognostic significance of CD56 expression. Multiparameter flow cytometry was used to detect MM in bone marrow samples from all patients. Patients were divided into 2 groups based on whether they expressed CD56: CD56 + group and CD56 - group. After 4 cycles of chemotherapy, the overall response rate of the CD56 - patients was lower than that of the CD56 + patients (60.0% vs 81.1%, P = .036). Survival analysis showed that the median progression-free survival (PFS) was 10 months for the CD56 - group and 27 months for the CD56 + group (P = .007). The median overall survival (OS) of patients for the CD56 - group was 25 months versus not reached in the CD56 + group (P = .010). In addition, among the high-risk patients detected by fluorescence in situ hybridization (FISH), the median PFS was 4 months for the CD56 - group and 16 months for the CD56 + group (P = .012). The median OS of the CD56 + group and CD56 - group was 36 months and 15 months, respectively, with statistically significant differences (P = .017). Our study confirmed that CD56 - patients with MM had a worse prognosis than that of CD56 + patients with MM. Among the patients with ≥ 2 high-risk cytogenetics, the existence of the CD56 negativity can further identify MM patients with poor PFS and OS.

Multiple Myeloma Immunophenotype Related to Chromosomal Abnormalities Used in Risk Assessment

(1) Background: At diagnosis, multiplemyeloma risk estimation includes disease burden, end-organ damage, and biomarkers, with increasing emphasis on genetic abnormalities. Multicolor flow cytometry (MFC) is not always considered in risk estimation. We demonstrate associations found between genetic abnormalities and antigen expression of plasma cells measured by MFC. (2) Methods: Single nucleotide polymorphism microarray (SNP-A) karyotyping as well as MFC using standardized next-generation flow (NGF) panels and instrument settings were performed from bone marrow aspirates at the time of diagnosis. (3) Results: We uncovered specific immunophenotype features related to different genetic risk factors. Specifically, we found higher malignant/normal plasma cell ratio and lower expression of CD27, CD38, CD45, CD56, CD117 and CD138 in higher-risk genetic groups or risk categories.

CD24 Is a Prognostic Marker for Multiple Myeloma Progression and Survival

Surface antigens are commonly used in flow cytometry assays for the diagnosis of multiple myeloma (MM). Some of these are directly involved in MM pathogenesis or interactions with the microenvironment, but most are used for either diagnostic or prognostic purposes. In a previous study, we showed that in-vitro, CD24-positive plasma cells exhibit a less tumorigenic phenotype. Here, we assessed the prognostic importance of CD24 expression in patients newly diagnosed with MM as it correlates to their clinical course. Immunophenotyping by flow cytometry of 124 patients uniformly treated by a bortezomib-based protocol was performed. The expression of CD24, CD117, CD19, CD45, and CD56 in bone marrow PCs was tested for correlations to clinical parameters. None of the CD markers correlated with the response rates to first-line therapy. However, patients with elevated CD24+ expression on their PCs at diagnosis had a significantly longer PFS (p = 0.002) and OS (p = 0.044). In contrast, the expression of CD117, CD56, or CD45 was found to have no prognostic value; CD19 expression was inversely correlated with PFS alone (p < 0.001) and not with OS. Thus, elevated CD24 expression on PCs appears to be strongly correlated with survival and can be used as a single-surface antigenic prognostic factor in MM.

Redefining CD56 as a biomarker and therapeutic target in Multiple Myeloma

Multiple myeloma (MM) cells aberrantly express surface antigens compared to normal plasma cells. Among others, CD56 is present at variable levels in approximately 70% of MM patients; however very little is known about CD56 role in MM. We demonstrated that MM patients with more than 10 percent of CD56-expressing clonal MM cells have inferior clinical outcomes. By gain-of and loss-of function models, we revealed that CD56 promotes MM cell growth, survival, and adhesion to stromal cells. These protumoral effects are induced by the activation of the RSK2/CREB1 signaling pathway, with increased mRNA and protein levels of the anti-apoptotic genes BCL2 and MCL1. Consequently, the genomic and pharmacological inhibition of RSK2 or CREB1 specifically induced MM cell death in CD56-expressing MM cells. Finally, we observed that CD56 signaling decreases CRBN expression, reducing responses to lenalidomide. RSK2 or CREB1 inhibition increased CRBN levels and were synergic with lenalidomide in inducing cell death, especially in CD56-expressing MM cells. In conclusion, our findings demonstrate that CD56 promotes MM cell growth, and pave the way to novel therapies based on targeting CD56, along with the use of CD56 as a predictive biomarker for MM therapies. Implications: Multiple myeloma (MM) is an incurable, genetically heterogeneous disease, without available tailored therapeutic approaches. CD56 signaling promotes MM growth and adhesion, by activating CREB1 target genes, MCL1 and BCL2. Inhibition of CREB1 alone or in combination with lenalidomide is an unexplored synthetic lethal approach in CD56-expressing MM patients.

Prognostic Relevance of Concordant Expression CD69 and CD56 in Response to Bortezomib Combination Therapy in Multiple Myeloma Patients

OBJECTIVE

Multiple myeloma is an incurable hematological malignancy. Currently, the use of proteasome inhibitors could be superior to chemotherapy-based regimen in the treatment of this disease. However, resistance to bortezomib combination therapy still occurs in some patients. So, this research work aims to assess CD69 and CD56 expression in these cases and their relation to the response to therapy.

MATERIALS AND METHODS

Immunophenotyping by 4-color multi-parameter flow cytometry was carried out on 98 multiple myeloma cases. Clonal plasma cells were gated by co-expression of CD38 with CD138 with low SSC, negative or dim CD45.

RESULTS

Double negative CD69 and CD56 (47.9%) multiple myeloma cases were associated with high serum β2 microglobulin, creatinine, calcium and low serum albumin. There was also a significant correlation between the absence of these markers with osteolytic lesions and unfavorable cytogenetic t (4;14) (p < 0.001). Moreover, there was a highly significant correlation between CD69- and CD56- with non-response to bortezomib combination therapy in multiple myeloma patients (p < 0.0001). Regression analysis for the prediction of non- response to treatment in these cases using different prognostic indicators revealed that high serum β2 microglobulin, unfavorable cytogenetic, advanced stage, and low expression of CD69 and CD56 were poor predictors of non-response.

CONCLUSION

CD69 in association with CD56 could be an independent prognostic factor in multiple myeloma cases. It could be used in the routine laboratory assessment for refining stratification and timely therapeutic decision for highly cost therapy in developing countries.

CD56 expression in multiple myeloma: Correlation with poor prognostic markers but no effect on outcome

CD56 or neural cell adhesion molecule (NCAM) is a membrane glycoprotein expressed on neural cells, muscle tissues and myeloma cells. Expression of CD56 has been studied in patients with multiple myeloma (MM) with controversial results. The scope of this study was to examine the expression of CD56 in MM patients at diagnosis and investigate its association with clinicopathologic parameters. We retrospectively collected and analyzed data from 109 patients with MM diagnosed over the last decade (January 2010 to June 2020). Expression of CD56 was assessed by immunohistochemistry in bone marrow biopsies and investigated its association with a variety of clinicopathological parameters. For the statistical analysis χ² test and Mann-Whitney U tests were used to compare categorical and continuous variables in CD56⁺ and CD56^- patients, respectively. Statistical analysis was performed using SPSS 21.0 for Windows (SPSS, Chicago, IL). Based on the expression of CD56 the patient population was divided to CD56⁺ patients and CD56^- patients; Sixty-eight patients were CD56 + and 41 patients were CD56-. Absence of CD56 expression was associated with unfavorable prognostic parameters such as elevated lactate dehydrogenase (LDH) and β2-microglobulin levels, advanced stage according to the International Staging System (ISS) and clonal bone marrow plasma cell infiltration ≥ 60%, but no effect on outcome, while the expression of CD56 was associated with well differentiated neoplastic plasma cells. Our study confirmed that lack of CD56 expression is a possible marker of poor prognosis in patients with MM. The detection of CD56 expression by either immunohistochemistry or flow cytometry is simple and cheap, and it could be incorporated in future prognostic or predictive scores. Prospective studies are needed in order to evaluate the role of expression of CD56 as a predictive biomarker in the era of novel regimens.

The clinical significance of CD49e and CD56 for multiple myeloma in the novel agents era

Multiple myeloma (MM) is a hematological malignancy characterized by the proliferation of abnormal plasma cells in bone marrow. Flow cytometry distinguishes between normal and abnormal plasma cells by evaluating cluster of differentiation (CD) 56 and CD19 expression patterns. Moreover, immunophenotyping of mature plasma cell 1 (MPC-1) and very late antigen-5 (CD49e) identifies the maturity of MM as mature (MPC-1⁺, CD49e⁺), intermediate (MPC-1⁺, CD49e^-), or immature (MPC-1^-, CD49e^-). We retrospectively examined the effects of surface marker expression and maturity subtype on overall survival (OS) and time to next treatment (TNT) among 55 patients (25 males, 30 females) with symptomatic MM. All patients were treated with regimens containing bortezomib (BOR) (n = 39) or lenalidomide (LEN) (n = 16) as the initial treatment. Median age at diagnosis was 72 years (range: 36-88). The lack of CD56, an aberrant marker, was associated with significantly worse prognosis compared with CD56⁺ MM (median OS: 24 vs. 60 months, respectively; p = 0.0050). In CD49e⁺ MM, defined as mature type, no significant difference was seen in TNT of the initial treatment, regardless of whether it was a BOR-based regimen or LEN + dexamethasone (Ld) therapy. On the other hand, in CD49e^- MM, defined as immature/intermediate type, TNT of Ld therapy was significantly longer than that of BOR-based regimens (median TNT: undefined vs. 12 months, respectively; p = 0.0043). These results suggest that Ld therapy is more effective than BOR-based therapy for CD49e^- MM and thus may aid regimen-related decisions in the novel agents era.

Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma

PURPOSE

Proteasome inhibitors are widely used in treating multiple myeloma, but can cause serious side effects and response varies among patients. It is, therefore, important to gain more insight into which patients will benefit from proteasome inhibitors.

EXPERIMENTAL DESIGN

We introduce simulated treatment learned signatures (STLsig), a machine learning method to identify predictive gene expression signatures. STLsig uses genetically similar patients who have received an alternative treatment to model which patients will benefit more from proteasome inhibitors than from an alternative treatment. STLsig constructs gene networks by linking genes that are synergistic in their ability to predict benefit.

RESULTS

In a dataset of 910 patients with multiple myeloma, STLsig identified two gene networks that together can predict benefit to the proteasome inhibitor, bortezomib. In class "benefit," we found an HR of 0.47 (P = 0.04) in favor of bortezomib, while in class "no benefit," the HR was 0.91 (P = 0.68). Importantly, we observed a similar performance (HR class benefit, 0.46; P = 0.04) in an independent patient cohort. Moreover, this signature also predicts benefit for the proteasome inhibitor, carfilzomib, indicating it is not specific to bortezomib. No equivalent signature can be found when the genes in the signature are excluded from the analysis, indicating that they are essential. Multiple genes in the signature are linked to working mechanisms of proteasome inhibitors or multiple myeloma disease progression.

CONCLUSIONS

STLsig can identify gene signatures that could aid in treatment decisions for patients with multiple myeloma and provide insight into the biological mechanism behind treatment benefit.

Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer

Lung cancer is one of the leading causes of death worldwide. Therefore, understanding the factors linked to patient survival is essential. Recently, multi-omics analysis has emerged, allowing for patient groups to be classified according to prognosis and at a more individual level, to support the use of precision medicine. Here, we combined RNA expression and miRNA expression with clinical information, to conduct a multi-omics analysis, using publicly available datasets (the cancer genome atlas (TCGA) focusing on lung adenocarcinoma (LUAD)). We were able to successfully subclass patients according to survival. The classifiers we developed, using inferred labels obtained from patient subtypes showed that a support vector machine (SVM), gave the best classification results, with an accuracy of 0.82 with the test dataset. Using these subtypes, we ranked genes based on RNA expression levels. The top 25 genes were investigated, to elucidate the mechanisms that underlie patient prognosis. Bioinformatics analyses showed that the expression levels of six out of 25 genes (ERO1B, DPY19L1, NCAM1, RET, MARCH1, and SLC7A8) were associated with LUAD patient survival (p < 0.05), and pathway analyses indicated that major cancer signaling was altered in the subtypes.

A putative competing endogenous RNA network in cisplatin-resistant lung adenocarcinoma cells identifying potentially rewarding research targets

Lung adenocarcinoma (LUAD) is the most common type of non-small cell lung cancer and has a poor 5 year survival rate (<10%). Cisplatin is one of the most effective chemotherapeutic treatments for LUAD, even though it is of limited overall utility due to acquired drug resistance. To identify possible genetic targets for the mitigation of cisplatin resistance, gene expression data from cisplatin-resistant cell lines were integrated with patient information. Expression data for cisplatin-resistant and cisplatin-sensitive A549 cell lines were obtained from the Gene Expression Omnibus database, while LUAD patient data was obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs (DEmRNAs), microRNAs (DEmiRNAs) and long non-coding RNAs (DElncRNAs) were identified between the cisplatin-sensitive and cisplatin-resistant cells. Using the TCGA patient data, 33 DEmRNAs associated with survival were identified. A total of 74 DElncRNAs co-expressed with the survival-associated DEmRNAs, and 11 DEmiRNAs that regulated the survival-associated DEmRNAs, were also identified. A competing endogenous RNA (ceRNA) network was constructed based on the aforementioned results, which included 17 survival-associated DEmRNAs, 9 DEmiRNAs and 16 DElncRNAs. This network revealed 8 ceRNA pathway axes possibly associated with cisplatin resistance in A549 cells. Specifically, the network suggested that the lncRNAs HOXD-AS2, LINC01123 and FIRRE may act as ceRNAs to increase cisplatin resistance in human LUAD cells. Therefore, it was speculated that these lncRNAs represent potentially rewarding research targets.

Expression, mutation, and methylation of cereblon-pathway genes at pre- and post-lenalidomide treatment in multiple myeloma

Cereblon (CRBN) is a target for immunomodulatory drugs. This study investigated the prognostic value of the expression of CRBN‐pathway genes on the clinical relevance of lenalidomide (Len) treatment and evaluated the levels of CRBN‐binding proteins and mutations in these genes after Len treatment. Forty‐eight primary multiple myeloma cells were collected prior to treatment with Len and dexamethasone (Ld) and 25 paired samples were obtained post‐Ld therapy. These tumor cells were used to determine the expression and mutated forms of the CRBN‐pathway genes. Following normalization with CRBN levels, there was a significantly reduced IKZF1/CRBN ratio in samples that responded poorly to Ld therapy. Moreover, patients with low ratios of IKZF1/CRBN showed a significantly shorter progression‐free survival (PFS) and overall survival (OS) than those with higher ratios. However, patients with high ratios of KPNA2/CRBN showed a significantly shorter PFS and OS than patients with lower ratios. Of the 25 paired samples analyzed, most samples showed a reduction in the expression of CRBN and an increase in IKZF1 gene expression. No mutations were observed in CRBN, IKZF1, or CUL4A genes in the post‐Ld samples. In conclusion, a decreased expression of IKZF1 and increased expression of KPNA2 compared to that of CRBN mRNA predicts poor outcomes of Ld therapy.

Salvage therapy versus upfront autologous stem cell transplantation in multiple myeloma patients with progressive disease after first-line induction therapy

It is a matter of debate whether myeloma patients with progressive disease (PD) after induction should receive salvage therapy or proceed directly to autologous stem cell transplantation. We performed a retrospective analysis of 1599 patients treated between 1991 and 2016 at the University Hospital of Heidelberg and other centers. Deepening of response through salvage therapy did not lead to better progression-free or overall survival (PD versus salvage therapy patients: HR = 0.71, 95% CI [0.28, 1.80], p = 0.5 and HR = 0.77, 95% CI [0.30, 1.95], p = 0.6, respectively), neither in patients treated with novel agents (HR = 0.66, 95% CI [0.23, 1.85], p = 0.4 and HR = 0.76, 95% CI [0.27, 2.15], p = 0.6) nor older regimens (HR = 0.86, 95% CI [0.36, 2.07], p = 0.7 and HR = 0.8, 95% CI [0.34, 1.91], p = 0.6). Therefore, primary nonresponders might benefit from a direct transplant rather than salvage induction, although the analyzed salvage therapy cohort was small (n = 23) and cytogenetics was not included in the multivariable analysis.

High-Risk Multiple Myeloma: Integrated Clinical and Omics Approach Dissects the Neoplastic Clone and the Tumor Microenvironment

Multiple myeloma (MM) is a genetically heterogeneous disease that includes a subgroup of 10–15% of patients facing dismal survival despite the most intensive treatment. Despite improvements in biological knowledge, MM is still an incurable neoplasia, and therapeutic options able to overcome the relapsing/refractory behavior represent an unmet clinical need. The aim of this review is to provide an integrated clinical and biological overview of high-risk MM, discussing novel therapeutic perspectives, targeting the neoplastic clone and its microenvironment. The dissection of the molecular determinants of the aggressive phenotypes and drug-resistance can foster a better tailored clinical management of the high-risk profile and therapy-refractoriness. Among the current clinical difficulties in MM, patients’ management by manipulating the tumor niche represents a major challenge. The angiogenesis and the stromal infiltrate constitute pivotal mechanisms of a mutual collaboration between MM and the non-tumoral counterpart. Immuno-modulatory and anti-angiogenic therapy hold great efficacy, but variable and unpredictable responses in high-risk MM. The comprehensive understanding of the genetic heterogeneity and MM high-risk ecosystem enforce a systematic bench-to-bedside approach. Here, we provide a broad outlook of novel druggable targets. We also summarize the existing multi-omics-based risk profiling tools, in order to better select candidates for dual immune/vasculogenesis targeting.