Literature DB >> 35926215

Programmable Bispecific Nano-immunoengager That Captures T Cells and Reprograms Tumor Microenvironment.

Lu Zhang1,2, Ruonan Bo1, Yi Wu1, Longmeng Li1, Zheng Zhu1, Ai-Hong Ma1, Wenwu Xiao1, Yanyu Huang1, Tatu Rojalin1, Xingbin Yin1, Chunping Mao2, Fengyi Wang2, Yongheng Wang1, Hongyong Zhang1, Kelmen E Low1, Kiana Lee1, Yousif Ajena1, Di Jing1, Dalin Zhang1, Christopher M Baehr1, Ruiwu Liu1, Lei Wang3, Yuanpei Li1, Kit S Lam1,4.   

Abstract

Immune checkpoint blockade (ICB) therapy has revolutionized clinical oncology. However, the efficacy of ICB therapy is limited by the ineffective infiltration of T effector (Teff) cells to tumors and the immunosuppressive tumor microenvironment (TME). Here, we report a programmable tumor cells/Teff cells bispecific nano-immunoengager (NIE) that can circumvent these limitations to improve ICB therapy. The peptidic nanoparticles (NIE-NPs) bind tumor cell surface α3β1 integrin and undergo in situ transformation into nanofibrillar network nanofibers (NIE-NFs). The prolonged retained nanofibrillar network at the TME captures Teff cells via the activatable α4β1 integrin ligand and allows sustained release of resiquimod for immunomodulation. This bispecific NIE eliminates syngeneic 4T1 breast cancer and Lewis lung cancer models in mice, when given together with anti-PD-1 antibody. The in vivo structural transformation-based supramolecular bispecific NIE represents an innovative class of programmable receptor-mediated targeted immunotherapeutics to greatly enhance ICB therapy against cancers.

Entities:  

Keywords:  T cells capture; fibrillar transformation; immune checkpoint blockade (ICB) therapy; nano-immuno-engager

Mesh:

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Year:  2022        PMID: 35926215      PMCID: PMC9479133          DOI: 10.1021/acs.nanolett.2c00582

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   12.262


Immune checkpoint receptor pathway blockade monoclonal antibodies such as anti-PD-1, anti-PD-L1, and anti-CTLA-4 can reverse T effector (Teff) cell dysfunction and exhaustion, resulting in dramatic tumor shrinkage and sometimes complete remission in some patients, even with late stage metastatic diseases.[1,2] However, the response rate varies greatly between tumor types: up to 40% in melanoma, 25% in non-small cell lung cancer, but <10% in most other tumor types. The low response rate of immune checkpoint blockade (ICB) therapy is probably ascribed to defects in Teff cell infiltration at the tumor sites.[3] In addition, the tumor microenvironment (TME) can also influence tumor response to ICB therapies.[4] Advancement and optimization of nano-immunotherapy lie in the development of innovative approaches to enhance the specificity and controllability of immunotherapeutic interventions and in the targeting of desired cell types. Advanced bionanomaterials or approaches in a more controlled manner could enhance immunotherapeutic potency by increasing the accumulation and prolonging the retention of the immunomodulatory agent and capturing of the immune cells at the TME while sparing the normal tissues and organs, thus reducing off-target adverse effects such as the systemic cytokine storm.[5−10] Especially, in situ modulation of nanomaterial in vivo has been demonstrated to improve the performance of bioactive molecules.[11−16] In order to overcome ICB resistance, here we report on a programmable tumor cells/Teff cells bispecific nano-immunoengager (NIE) that can capture Teff cells at tumor sites and sustainably release immunoagonist to reprogram the TME. This bispecific NIE, initially in nanoparticle form (NIE-NPs), is self-assembled from two transformable peptide monomers (TPMs, Figure a). TPM1, LXY30-KLVFFK(Pa), was comprised of three discrete functional domains: (1) the high-affinity and high-specificity LXY30 cyclic peptide (cdG-Phe(3,5-diF)-G-Hyp-NcR) ligand that targets the α3β1 integrin heterodimeric transmembrane receptor expressed by many epithelial tumors with high metastatic potential, including clinical non-small cell lung cancer;[17−19] (2) the KLVFF β-sheet forming peptide domain originated from β-amyloid (Aβ) peptide;[11,20−22] and (3) the pheophorbide a (Pa) moiety with fluorescence property, serving as a hydrophobic core to induce the formation of micellar nanoparticles. TPM2, proLLP2A-KLVFFK(R848), was also comprised of three discrete functional domains: (1) proLLP2A, the “pro-ligand” version of LLP2A ligand that is a high-affinity and high-specificity peptidomimetic ligand against the activated α4β1 integrin of lymphocytes;[23] (2) the same KLVFF β-sheet forming peptide domain; and (3) R848 (resiquimod), a hydrophobic TLRs 7/8 agonist, grafted to the TPM2 main chain via an ester bond. In proLLP2A, the carboxyl group of LLP2A is blocked by 3-methoxy-1-propanol through esterification such that it will not interact with normal lymphocytes and mesenchymal stem cells during blood circulation.
Figure 1

Assembly and fibrillar transformation of the programmable bispecific NIE, as well as esterase-induced exposure of LLP2A ligands and R848 release. (a) Schematic illustration of the molecular structure and function of TPM1 (LXY30-KLVFFK(Pa)) and TPM2 (proLLP2A-KLVFFK(R848)). (b) Changes in fluorescence (FL) of a DMSO solution of TPM1 and TPM2 at a 1:1 ratio following the gradual addition of water (from 0 to 99%) forming micellar NIE-NPs: excitation wavelength, 405 nm. (c) Schematic illustration and TEM images of initial NIE-NPs and subsequently transformed nanofibrils (NIE-NFs) upon interaction with soluble α3β1 integrin protein for 24 h (H2O to DMSO ratio of 99:1). The concentration of NIE-NPs used in the experiment was 20 μM. Scale bars are 100 nm. (d) Variation in the fluorescence (FL) signal of Pa in the fibrillar-transformation process of NIE-NPs to NIE-NFs over time. (e) Schematic illustration and TEM images of NIE-NPs upon interaction with soluble α4β1 integrin protein or α4β1 integrin protein plus esterase for 24 h (H2O to DMSO ratio of 99:1), respectively. The concentration of NIE-NPs used in the experiment was 20 μM. Scale bars are 100 nm. (f and g) Variation in the size distribution (f) and circular dichroism spectra (g) of NIE-NPs and NIE-NFs under different conditions. (h) In vitro release profile of R848 from NIE-NFs over time under different conditions. Data are presented as mean ± s.d., n = 3 independent experiments. The molar ratio of α3β1 or α4β1 integrin protein to peptide ligand was approximately 1:1000. a.u., arbitrary units; mdeg, millidegrees.

Under aqueous conditions and in blood circulation, TPM1 and TPM2, at a ratio of 1:1, would co-self-assemble into nanoparticles, NIE-NPs, in which KLVFFK(Pa) and KLVFFK(R848) hydrophobic domains were in the interior of the NIE-NPs, while relatively hydrophilic LXY30 and proLLP2A ligand peptides were on the surface of the NIE-NPs. NIE-NPs would preferentially accumulate in tumors through the leaky tumor vasculatures. Upon interaction with α3β1 integrin receptor protein displayed on the tumor cell membrane, the NIE-NPs would undergo in situ transformation into nanofibers (NIE-NFs) forming a nanofibrillar structural network on the surface of tumor cells, thus maintaining a prolonged retention (at least 7 days). With the abundant esterase in the TME and on the tumor cells, proLLP2A would quickly be converted to LLP2A against activated α4β1 integrin. LLP2A displayed on the fibrils would capture Teff cells (e.g., CD8+ T cells) and facilitate their long-term retention at the TME and adjacent to the tumor cells. The capturing and retention of large numbers of Teff cells would greatly enhance ICB therapy.[10,24−26] Besides, the sustained release of R848 from the nanofibrillar network would improve the immunosuppressive tumor microenvironment, e.g., activate antigen-presenting cells, promote immune cells to produce antitumor response factors, and re-educate the phenotype of the macrophage from M2 to M1.[27] This in vivo structural transformation-based supramolecular bispecific NIE represents an innovative class of programmable receptor-mediated targeted immunotherapeutics against cancers through capturing of T cells and enhancement of the antitumor immune state at the TME (Scheme ).
Scheme 1

Programmable Bispecific Nano-immunoengager (NIE) Synergizing Immune Checkpoint Blockage (ICB) Therapy via Capturing Teff Cells and Reprogramming the Tumor Microenvironment

(a and b) Schematic illustration of (a) co-self-assembly of both TPM1 and TPM2 into NIE-NPs, in situ fibrillar transformation into NIE-NFs through binding α3β1 integrin (tumor cell membrane), exposure of LLP2A ligands binding α4β1 integrin (T cell membrane), and release of TLRs 7/8 agonist (R848) from NIE-NFs through esterase hydrolysis. (b) Steps II–V show the processes for how a programmable bispecific NIE synergizes ICB therapy in tumor tissue: (I) NIE-NPs bind tumor cells and in situ transforms them into nanofibrils (NIE-NFs) on the surface of tumor cells. (II) NIE-NFs expose LLP2A and release R848 for (III) capturing T cells to tumors cells and (IV) re-educating TAMs from M2 to M1 phenotype. (V) Meanwhile, anti-PD-1 antibody greatly activates the NIE homed cytotoxic T cells for ICB therapy. (TPMs, transformable peptide monomers; NIE-NPs, nano-immuno-engager nanoparticles; NIE-NFs, nano-immuno-engager nanofibrils; R848, resiquimod, a TLRs 7/8 agonist; M1-TAM, M1-like tumor-associated macrophage; M2-TAM, M2-like tumor-associated macrophage.)

Programmable Bispecific Nano-immunoengager (NIE) Synergizing Immune Checkpoint Blockage (ICB) Therapy via Capturing Teff Cells and Reprogramming the Tumor Microenvironment

(a and b) Schematic illustration of (a) co-self-assembly of both TPM1 and TPM2 into NIE-NPs, in situ fibrillar transformation into NIE-NFs through binding α3β1 integrin (tumor cell membrane), exposure of LLP2A ligands binding α4β1 integrin (T cell membrane), and release of TLRs 7/8 agonist (R848) from NIE-NFs through esterase hydrolysis. (b) Steps II–V show the processes for how a programmable bispecific NIE synergizes ICB therapy in tumor tissue: (I) NIE-NPs bind tumor cells and in situ transforms them into nanofibrils (NIE-NFs) on the surface of tumor cells. (II) NIE-NFs expose LLP2A and release R848 for (III) capturing T cells to tumors cells and (IV) re-educating TAMs from M2 to M1 phenotype. (V) Meanwhile, anti-PD-1 antibody greatly activates the NIE homed cytotoxic T cells for ICB therapy. (TPMs, transformable peptide monomers; NIE-NPs, nano-immuno-engager nanoparticles; NIE-NFs, nano-immuno-engager nanofibrils; R848, resiquimod, a TLRs 7/8 agonist; M1-TAM, M1-like tumor-associated macrophage; M2-TAM, M2-like tumor-associated macrophage.) TPM1 and TPM2 were synthesized and characterized (Figures a and S1). As the proportion of water in the mixed solvent (water and DMSO) of the TPM1 and TPM2 mixture solution was increased, there was a gradual decrease in the fluorescence peak at 675 nm due to the aggregation-caused quenching properties of Pa dye (Figure b), reflecting the gradual formation of NIE-NPs via self-assembly. Concomitantly, there was a modest decrease in the absorption peak at both 405 and 680 nm (Figure S2a). TPM1 and TPM2 each alone were able to self-assemble to form nanoparticles (NPsTPM1 and NPsTPM2) at 18 and 55 nm. NIE-NPs, assembled from a 1:1 mix of TPM1 and TPM2 into nanoparticles at around 28 nm, which fell between the sizes of NPsTPM1 and NPsTPM2 (Figure S2b). The critical aggregation concentration (CAC) of the NIE-NPs was determined to be 8 μM (Figure S2c). We have also demonstrated that NIE-NPs could maintain good serum stability and proteolytic stability over 7 days at 37 °C (Figure S2d). Assembly and fibrillar transformation of the programmable bispecific NIE, as well as esterase-induced exposure of LLP2A ligands and R848 release. (a) Schematic illustration of the molecular structure and function of TPM1 (LXY30-KLVFFK(Pa)) and TPM2 (proLLP2A-KLVFFK(R848)). (b) Changes in fluorescence (FL) of a DMSO solution of TPM1 and TPM2 at a 1:1 ratio following the gradual addition of water (from 0 to 99%) forming micellar NIE-NPs: excitation wavelength, 405 nm. (c) Schematic illustration and TEM images of initial NIE-NPs and subsequently transformed nanofibrils (NIE-NFs) upon interaction with soluble α3β1 integrin protein for 24 h (H2O to DMSO ratio of 99:1). The concentration of NIE-NPs used in the experiment was 20 μM. Scale bars are 100 nm. (d) Variation in the fluorescence (FL) signal of Pa in the fibrillar-transformation process of NIE-NPs to NIE-NFs over time. (e) Schematic illustration and TEM images of NIE-NPs upon interaction with soluble α4β1 integrin protein or α4β1 integrin protein plus esterase for 24 h (H2O to DMSO ratio of 99:1), respectively. The concentration of NIE-NPs used in the experiment was 20 μM. Scale bars are 100 nm. (f and g) Variation in the size distribution (f) and circular dichroism spectra (g) of NIE-NPs and NIE-NFs under different conditions. (h) In vitro release profile of R848 from NIE-NFs over time under different conditions. Data are presented as mean ± s.d., n = 3 independent experiments. The molar ratio of α3β1 or α4β1 integrin protein to peptide ligand was approximately 1:1000. a.u., arbitrary units; mdeg, millidegrees. To verify the receptor-mediated fibrillar transformable process of NIE-NPs in vitro, soluble α3β1 integrin protein (receptor for LXY30) was added to the solution of NIE-NPs. After 24 h of incubation at room temperature, a fibrillar network (NIE-NFs, width diameter about 8 nm) with a broad size distribution was clearly detected (Figure c and f). No transformation was observed in the preparation of NIE-NPs without the addition of α3β1 integrin protein, even after 24 h (Figure S2e). Addition of α3β1 integrin protein triggered a gradual decrease in the fluorescence intensity of Pa over time, reflecting an increase in fluorescence quenching in NFs1, indicating that the packing of Pa in NIE-NFs was denser (Figure d). The CAC of NIE-NFs was confirmed to be lower than that of NIE-NPs (5 μM vs 8 μM, Figure S2f). In addition, a fluorescence peak reversal (from 680 to 725 nm) was observed, indicating that the disordered arrangement of Pa in the core of NIE-NPs was transformed into J-aggregate form in NIE-NFs.[28−30] We also investigated the responsiveness of proLLP2A displayed on the NIE-NPs surface to soluble α4β1 integrin protein in the presence and absence of esterase (Figure e and f and Figure S3). Successive addition of esterase, followed by soluble α4β1 integrin protein, was able to elicit conversion of NIE-NPs to fibrillar network after 24 h of incubation. This expected result confirmed that esterase was able to convert pro-ligand proLLP2A to ligand LLP2A, which in turn was able to trigger receptor-mediated transformation of NIE-NPs to NIE-NFs. We monitored the conversion of proLLP2A ligand to LLP2A ligand by HPLC. The majority of proLLP2A was found to be converted to LLP2A after incubation with esterase for 8 h at pH 7.4 and 37 °C (Figure S4). Circular dichroism (CD) spectroscopic analysis of the transformation process of NIE-NPs showed a gradual progression of a negative signal at 216 nm and a positive signal at 195 nm upon incubation with α3β1 integrin protein or combination esterase/α4β1 integrin protein, indicative of β-sheet formation (Figure g).[20,31] The in vitro release behavior of R848 from NIE-NFs was studied at pH 6.5 with addition of esterase to simulate TME conditions. About 45% of R848 was released in the first 24 h, after which the release rate gradually slowed down and about 86% cumulative release was observed by 168 h, indicating that prolonged and sustained release of R848 could occur at the TME (Figure h). To demonstrate the unique transformable property of NIE-NPs, we designed a related negative control nano-immunoengager nanoparticle (CNIE-NP) formed by assembly of two negative control TPMs without a β-sheet forming KLVFF peptide sequence, at a ratio of 1:1 (CTPM3:LXY30-KAAGGK(Pa) and CTPM4:proLLP2A-KAAGGK(R848), Figures S1 and S5). We have previously reported the binding affinity of LLP2A against α4β1 integrin to be at the sub-nanomolar level[23] and that of LXY30 against α3β1 integrin to be at the mid-nanomolar level.[17] LXY30 bound strongly to α3β1 integrin but not α4β1 integrin, and the reverse was true for LLP2A (Figure S6a and c). Esterification of the carboxyl side chain of LLP2A to form proLLP2A resulted in complete loss of its binding to α4β1 integrin. Treatment of proLLP2A with esterase was able to completely restore the binding affinity of LLP2A toward α4β1 integrin (Figure S6b). We have also confirmed the high binding affinity and selectivity of LXY30 to α3β1 integrin on the surface of 4T1 cells via flow cytometry (Figure S7) and also found that NIE-NPs were slightly cytotoxic against 4T1 tumor cells, with 84.5% cell viability at 50 μM (Figure S8). We investigated the distribution of nanoparticles by tracking the red fluorescent signal emitted by Pa using confocal laser scanning microscopy (CLSM). Six hours after incubation of 4T1 tumor cells with NIE-NPs, a strong red fluorescence signal was observed on the cell surface but not inside the cells (Figure a). The red fluorescence signal of transformed NIE-NPs was found to merge with plasma membrane on the cell surface but not with intracellular actin (Figures S9 and S10). In contrast, the fluorescent signal of Pa in the CNIE-NPs-treated group was found to be concentrated primarily in the cytoplasm of the cells. To study the retention and stability of the formed nanofibrillar network on the surface of tumor cells, unbound nanoparticles were washed off after 6 h of incubation and fresh medium without nanoparticles was added to incubate cells for another 18 h. As expected, NIE-NPs-treated cells still retained strong red fluorescence signals on the cell surface at 24 h, displaying the capacity of prolonged retention of the bispecific NIE (Figure b). In sharp contrast, only a weak fluorescence signal was observed inside the cells treated with CNIE-NPs after 24 h. SEM images confirmed the presence of a nanofibrillar network on the surface of 4T1 tumor cells (Figure c). We also investigated the effect of esterase on the interactions between NIE-NPs and CD8 T cell surface α4β1 integrin (preactivated by Mn2+), after converting pro-LLP2A to LLP2A (Figure d). SEM confirmed the presence of a fibrillar network on the surface of esterase pretreated NIE-NPs-treated CD8 T cells (Figure e).
Figure 2

In vitro bispecific NIE binds both 4T1 breast cancer cells and CD8 T cells and re-educates tumor-associated macrophages. (a) Cellular fluorescence distribution images of interaction of NIE-NPs and CNIE-NPs for 6 h with 4T1 tumor cells to show NIE-NPs around cells and CNIE-NPs inside cells. Scale bar is 10 μm. (b) Cellular fluorescence signal retention images of 4T1 tumor cells after exposure to NIE-NPs and CNIE-NPs for 6 h followed by incubation with fresh medium without nanoparticles for 18 h to show long retention of NIE and short retention of CNIE. Scale bar is 10 μm. (c) Representative SEM images of untreated 4T1 tumor and 4T1 tumor cells treated with NIE-NPs for 6 h. Scale bar is 10 μm. The concentration of NIE-NPs was 50 μM. (d and e) (d) Cellular fluorescence distribution images and (e) representative SEM images of murine CD8 T cells (isolated from mouse spleen, CellTracker green CMFDA dye labeled, green fluorescence) after incubation with esterase-pretreated NIE-NPs to show NIE around cells. α4β1 integrins on the surface of murine CD8 T cells were preactivated by Mn2+ (1 mM). Scale bar is 10 μm. (f) Experimental scheme and cellular fluorescence distribution images of NIE-NPs (fluorescent red), after interaction with 4T1 tumor and murine CD8 T cells (fluorescent green, α4β1 integrins were preactivated by Mn2+). It shows that nanofibrillar networks (bispecific NIE) cover 4T1 tumor cells, which in turn capture CD8 T cells. More incubation time, more bound CD8 T cells. Scale bar is 10 μm. (g) Representative SEM images of 4T1 tumor and CD8 T cells after treatment with NIE-NPs (see part f). (h) Representative images of M2-like murine macrophages and subsequent re-education by NIE-NFs, NIE-NFs plus esterase, or R848 at different time points. Scale bar is 20 μm. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001.

In vitro bispecific NIE binds both 4T1 breast cancer cells and CD8 T cells and re-educates tumor-associated macrophages. (a) Cellular fluorescence distribution images of interaction of NIE-NPs and CNIE-NPs for 6 h with 4T1 tumor cells to show NIE-NPs around cells and CNIE-NPs inside cells. Scale bar is 10 μm. (b) Cellular fluorescence signal retention images of 4T1 tumor cells after exposure to NIE-NPs and CNIE-NPs for 6 h followed by incubation with fresh medium without nanoparticles for 18 h to show long retention of NIE and short retention of CNIE. Scale bar is 10 μm. (c) Representative SEM images of untreated 4T1 tumor and 4T1 tumor cells treated with NIE-NPs for 6 h. Scale bar is 10 μm. The concentration of NIE-NPs was 50 μM. (d and e) (d) Cellular fluorescence distribution images and (e) representative SEM images of murine CD8 T cells (isolated from mouse spleen, CellTracker green CMFDA dye labeled, green fluorescence) after incubation with esterase-pretreated NIE-NPs to show NIE around cells. α4β1 integrins on the surface of murine CD8 T cells were preactivated by Mn2+ (1 mM). Scale bar is 10 μm. (f) Experimental scheme and cellular fluorescence distribution images of NIE-NPs (fluorescent red), after interaction with 4T1 tumor and murine CD8 T cells (fluorescent green, α4β1 integrins were preactivated by Mn2+). It shows that nanofibrillar networks (bispecific NIE) cover 4T1 tumor cells, which in turn capture CD8 T cells. More incubation time, more bound CD8 T cells. Scale bar is 10 μm. (g) Representative SEM images of 4T1 tumor and CD8 T cells after treatment with NIE-NPs (see part f). (h) Representative images of M2-like murine macrophages and subsequent re-education by NIE-NFs, NIE-NFs plus esterase, or R848 at different time points. Scale bar is 20 μm. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001. To simulate the processes of initial fibrillar transformation of NIE-NPs on the surface of 4T1 tumor cells followed by T cell binding, we incubated 4T1 tumor cells with NIE-NPs for 6 h; unbound NIE-NPs were then washed off, followed by addition of fresh medium containing esterase but without NIE-NPs. After 1 h of incubation, murine CD8 T cells with α4β1 integrins activated by Mn2+ were added and incubated with 4T1 tumor cells for 2 or 4 h. After that, unbound CD8 T cells were gently removed prior to CLSM imaging (Figure f). As expected, a fibrillar structure layer with red fluorescence was detected surrounding the surface of the 4T1 tumor cells, and the CD8 T cells (green fluorescence) were found to interact with the red fluorescent fibrillar network and in close proximity to the 4T1 tumor cells, after 2 h of incubation. As the incubation time was increased to 4 h, many more T cells were found around the 4T1 tumor cells, which was consistent with our notion that the nanofibrillar-based bispecific NIE would facilitate the capturing and retention of immune cells. SEM imaging provided critical evidence that the bispecific NIE had played a significant role in the direct physical contact between 4T1 tumor cells and T cells through the nanofibrillar network (Figure g). The conversion of tumor-associated macrophages (TAMs) from an immunosuppressive M2-polarized phenotype to an anti-tumor M1-polarized phenotype is one of the major immunotherapeutic strategies for reprogramming the immunosuppressive TME.[26] Addition of esterase to the culture medium followed by 24 h of incubation resulted in morphological change of the M2-state toward the round and flattened M1-state, a decrease in Arg1 and Mrc1, and an increase in IL-12 and Nos2 expression (Figures h and S11). NIE-NPs were found to be nontoxic: blood counts, platelets, creatinine, and liver function tests obtained from normal Balb/c mice treated with eight consecutive q.o.d. intravenous (i.v.) doses of NIE-NPs were within normal limits (Figures S12 and S13). In vivo blood pharmacokinetics (PK) studies in rats showed that NIE-NPs possessed a long circulation time (T-half (α): 2.866 h and T-half (β): 23.186 h), indicating their stability during circulation (Figure S14). For biodistribution studies, NIE-NPs were tail vein injected once into Balb/c mice bearing syngeneic orthotopic 4T1 breast cancer; 10, 24, 48, 72, 120, and 168 h later, tumor and main organs were excised for ex vivo fluorescent imaging (Figure a and b). A significant fluorescent signal of Pa was found to persist in tumor tissue for over 168 h, while the fluorescent signal in normal organs began to decline after 10 h and was almost undetectable in the main organs at 72 h. In sharp contrast, the fluorescent signal of Pa at tumor tissue treated by CNIE-NPs was found to gradually decline over time after peaking at 24 h (Figures c and S15). The prolonged retention of the fluorescent signal in NIE-NPs-treated mice could be attributed to in situ receptor-mediated transformation of NIE-NPs into NIE-NFs at the TME (Figure d). TEM studies on excised tumor sections, 72 h after i.v. administration, showed abundant bundles of nanofibrils in the extracellular matrix while no such nanofibrils were observed in negative CNIE-NPs-treated and untreated mice (Figure e). H&E staining and TEM imaging of normal organs showed normal histology without any pathologic changes, and there was no sign of fibrillar structures (Figure S16). Fluorescent micrographs of the tumors and overlying skin revealed an intense fluorescent signal in the tumor region but negligible signal in the normal skin (Figure f). The tumor tissue distribution of R848 over time was also determined with high-pressure liquid chromatography–mass spectroscopy (HPLC-MS, Figure g). We found that the R848 uptake by the tumor was quite high at 24 h (3.62 μg per g tissue) and that about one-third of the R848 was found to be retained at the tumor site (1.14 μg per g tissue) even at 7 days.
Figure 3

In vivo evaluation of NIE targeting tumor cells, and in situ nanofibrillar transformation to capture Teff cell and facilitate the long-term retention and activate immunity. (a and b) Time-dependent ex vivo fluorescence (FL) images (a) and quantitative analysis (b) of tumor tissues and major organs (heart (H), liver (Li), spleen (Sp), lung (Lu), kidney (K), intestine (I), muscle (M), and skin (Sk)) collected at 10, 24, 48, 72, 120, and 168 h post-injection of NIE-NPs. Data are presented as mean ± s.d., n = 3 independent experiments. (c) Time-dependent ex vivo fluorescence images of tumor tissues collected at 10, 24, 48, 72, 120, and 168 h post-injection of CNIE-NPs. (d) Fluorescence (FL) quantification of tumor tissues collected at 10, 24, 48, 72, 120, and 168 h post-injection of NIE-NPs and CNIE-NPs. Data are presented as mean ± s.d., n = 3 independent experiments. (e) Representative TEM images of distribution in tumor tissue and in situ fibrillar transformation of NIE-NPs, CNIE-NPs, and the untreated control group at 72 h post-injection. “N” depicts nucleus. (f) Fluorescence distribution images of NIE-NPs in the tumor tissue region and normal skin tissue at 72 h post-injection (red, Pa of NIE-NPs; blue, DAPI; scale bars, 50 μm). (g) R484 distribution retention in tumor tissues at different time points post-injection of NIE-NPs and CNIE-NPs. Injection dose of R848:0.94 mg kg–1; data were mean ± s.d., n = 3 for each time point. (h) Expression of CXCL10 chemokine within the tumor tissues after 5 days of NIE-NPs, CNIE-NPs, and saline treatment (n = 3; data were mean ± s.d.; single injection). (i) Representative flow cytometric analysis images and corresponding quantification of CD45+CD3+, CD8+/CD4+, CD4+Foxp3+, CD8+CD49+, and CD8+CD29+ T cells within the 4T1 tumors excised from mice treated with NIE-NPs, CNIE-NPs, or the saline control. (j) Immunohistochemistry (IHC) of tumors excised from mice after treatment with NIE-NPs or CNIE-NPs. Representative images are shown for the IHC staining of T cells (CD8+, CD4+, and Foxp3+) and macrophage markers (CD68 and CD163). Scale bar is 100 μm. (k) The expression levels (qPCR assay) of IFN-γ, TGF-β, IL12, IL10, Nos2, and Arg-1 in 4T1 tumors excised from mice 15 days after treatment with NIE-NPs or CNIE-NPs (n = 3; data were mean ± s.d.). Statistical significance was calculated using a two-sided unpaired t test compared to the NIE-NPs group: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

In vivo evaluation of NIE targeting tumor cells, and in situ nanofibrillar transformation to capture Teff cell and facilitate the long-term retention and activate immunity. (a and b) Time-dependent ex vivo fluorescence (FL) images (a) and quantitative analysis (b) of tumor tissues and major organs (heart (H), liver (Li), spleen (Sp), lung (Lu), kidney (K), intestine (I), muscle (M), and skin (Sk)) collected at 10, 24, 48, 72, 120, and 168 h post-injection of NIE-NPs. Data are presented as mean ± s.d., n = 3 independent experiments. (c) Time-dependent ex vivo fluorescence images of tumor tissues collected at 10, 24, 48, 72, 120, and 168 h post-injection of CNIE-NPs. (d) Fluorescence (FL) quantification of tumor tissues collected at 10, 24, 48, 72, 120, and 168 h post-injection of NIE-NPs and CNIE-NPs. Data are presented as mean ± s.d., n = 3 independent experiments. (e) Representative TEM images of distribution in tumor tissue and in situ fibrillar transformation of NIE-NPs, CNIE-NPs, and the untreated control group at 72 h post-injection. “N” depicts nucleus. (f) Fluorescence distribution images of NIE-NPs in the tumor tissue region and normal skin tissue at 72 h post-injection (red, Pa of NIE-NPs; blue, DAPI; scale bars, 50 μm). (g) R484 distribution retention in tumor tissues at different time points post-injection of NIE-NPs and CNIE-NPs. Injection dose of R848:0.94 mg kg–1; data were mean ± s.d., n = 3 for each time point. (h) Expression of CXCL10 chemokine within the tumor tissues after 5 days of NIE-NPs, CNIE-NPs, and saline treatment (n = 3; data were mean ± s.d.; single injection). (i) Representative flow cytometric analysis images and corresponding quantification of CD45+CD3+, CD8+/CD4+, CD4+Foxp3+, CD8+CD49+, and CD8+CD29+ T cells within the 4T1 tumors excised from mice treated with NIE-NPs, CNIE-NPs, or the saline control. (j) Immunohistochemistry (IHC) of tumors excised from mice after treatment with NIE-NPs or CNIE-NPs. Representative images are shown for the IHC staining of T cells (CD8+, CD4+, and Foxp3+) and macrophage markers (CD68 and CD163). Scale bar is 100 μm. (k) The expression levels (qPCR assay) of IFN-γ, TGF-β, IL12, IL10, Nos2, and Arg-1 in 4T1 tumors excised from mice 15 days after treatment with NIE-NPs or CNIE-NPs (n = 3; data were mean ± s.d.). Statistical significance was calculated using a two-sided unpaired t test compared to the NIE-NPs group: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. We evaluated whether the bispecific NIE (single injection) could capture Teff cells and facilitate their long-term retention at the tumor sites and re-educate TAMs in vivo. First, NIE-NPs were found to significantly stimulate the production of chemokine CXCL10 at the tumor site (Figure h), which was known to facilitate recruitment of Teff cells.[32,33] This should be attributed to sustained release of R848, which is known to induce the production of chemokines.[34−36] We confirmed that the proportion of CD45+CD3+ and CD45+CD3+CD8+ T cells in the NIE-NPs-treated tumor tissue was substantially higher than those from mice treated with endocytic CNIE-NPs or saline (Figures i and S17). Second, the relative abundance of CD4+Foxp3+ Tregs at the tumor site was substantially lower in mice that received the NIE-NPs treatment than that in mice treated with CNIE-NPs, i.e., 4.97% vs 13.0%. We also confirmed the higher expression (CD49+) and activation (CD29+) of α4β1 integrin in tumor-infiltrating CD8 T cells after NIE-NPs treatment, which were conducive to capturing of CD8 T cells by LLP2A displayed at the TME. Third, IHC staining of tumor sections demonstrated an increase in M1-polarized macrophage marker CD68 and a decrease in M2-polarized macrophage marker CD163 in the NIE-NPs-treated group (Figure j). Fourth, the high expression levels of IFN-γ, IL-12, and Nos2 and low expression levels of TGF-β, IL-10, and Arg-1 in the tumor tissue confirmed that a strong tumor-specific immune response had been elicited (Figure k). We evaluated the roles of T cell capturing ligand (LLP2A) and TLR7/8 immunoagonist (R848), the two components of NIE-NPs, in inducing chemokine production and T cell capturing at the TME in vivo. As shown in Figure a and b, R848 (group 2) was more effective in inducing chemokine secretion than the LLP2A ligand (group 3), but the population of CD8 T cells in group 3 was slightly higher than that in group 2. This suggested that LLP2A ligands should have played a significant role in capturing and retention of CD8 T cells at the TME, more so than R848. However, LLP2A or R848, each alone, was found to be insufficient to induce a robust antitumor immune response. It is clear that group 4 mice treated with both LLP2A and R848 were able to mount a robust antitumor immune response, resulting in a higher level of chemokine expression, more CD8 T cells, and fewer Treg cells.
Figure 4

Intrinsic antitumor immune efficacy of bispecific NIE in Balb/c mice bearing 4T1 breast tumor. (a) Expression of CXCL10 and CXCL9 chemokine on day 7 within the excised tumor tissues of mice after different treatments (13 mg/kg each dose, every other day; n = 3; data were mean ± s.d.). (b) Representative flow cytometric analysis images and relative quantification of CD8+/CD4+ and CD4+Foxp3+ T cells within the 4T1 tumors excised from mice after different treatments at day 15. All treatment regimens were tail vein injected consecutively three times q.o.d. (13 mg/kg each dose, every other day, total three times; n = 5; data were mean ± s.d.). In parts a and b, (1) saline; (2) LXY30-KLVFFK(Pa)/(EK)3-KLVFFK(R848) (fibrillar-transformation but absence of LLP2A ligand); (3) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(Pa) (fibrillar-transformation but absence of R848); and (4) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(R848) (complete NIE-NPs). (c) Experimental design: orthotopic tumor inoculation and treatment protocol; regimen 6 is NIE-NPs with all four critical components: (1) saline; (2) (EK)3-KLVFFK(Pa)/(EK)3-KLVFFK(R848) (“R848 only” in micellar formulation); (3) proLLP2A-KLVFFK(R848) (single monomer); (4) LXY30-KAAGGK(Pa)/proLLP2A-KAAGGK(R848) (untransformable negative control CNIE-NPs); (5) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(Pa) (fibrillar-transformation but absence of R848); (6) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(R848). (d and e) Observation of the tumor inhibitory effect (d) and weight change (e) of mice bearing orthotopic 4T1 tumor over 21 d after initiation of treatment (n = 8 per group). Data are presented as mean ± s.d. (f) Cumulative survival of different treatment groups of mice bearing 4T1 breast tumors. Data are presented as mean ± s.d. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

Intrinsic antitumor immune efficacy of bispecific NIE in Balb/c mice bearing 4T1 breast tumor. (a) Expression of CXCL10 and CXCL9 chemokine on day 7 within the excised tumor tissues of mice after different treatments (13 mg/kg each dose, every other day; n = 3; data were mean ± s.d.). (b) Representative flow cytometric analysis images and relative quantification of CD8+/CD4+ and CD4+Foxp3+ T cells within the 4T1 tumors excised from mice after different treatments at day 15. All treatment regimens were tail vein injected consecutively three times q.o.d. (13 mg/kg each dose, every other day, total three times; n = 5; data were mean ± s.d.). In parts a and b, (1) saline; (2) LXY30-KLVFFK(Pa)/(EK)3-KLVFFK(R848) (fibrillar-transformation but absence of LLP2A ligand); (3) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(Pa) (fibrillar-transformation but absence of R848); and (4) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(R848) (complete NIE-NPs). (c) Experimental design: orthotopic tumor inoculation and treatment protocol; regimen 6 is NIE-NPs with all four critical components: (1) saline; (2) (EK)3-KLVFFK(Pa)/(EK)3-KLVFFK(R848) (“R848 only” in micellar formulation); (3) proLLP2A-KLVFFK(R848) (single monomer); (4) LXY30-KAAGGK(Pa)/proLLP2A-KAAGGK(R848) (untransformable negative control CNIE-NPs); (5) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(Pa) (fibrillar-transformation but absence of R848); (6) LXY30-KLVFFK(Pa)/proLLP2A-KLVFFK(R848). (d and e) Observation of the tumor inhibitory effect (d) and weight change (e) of mice bearing orthotopic 4T1 tumor over 21 d after initiation of treatment (n = 8 per group). Data are presented as mean ± s.d. (f) Cumulative survival of different treatment groups of mice bearing 4T1 breast tumors. Data are presented as mean ± s.d. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. A therapeutic efficacy study of a programmable bispecific NIE was performed in syngeneic orthotopic 4T1 breast cancer-bearing mice (Figure c–f). Regimen 6 is the complete NIE-NPs, containing all four critical components: LXY30, proLLP2A, R848, and KLVFF, whereas regimen 2, 3, 4, or 5 each lacks some components of NIE-NPs. Regimen 6 (NIE-NPs) was found to be the most efficacious with significant tumor growth suppression and prolonged survival, indicating the importance of the combination of the homing strategy of T cells and sustained release of TLR7/8 agonist. Regimen 5 (fibrillar-transformation but no R848) demonstrated significant tumor suppression compared to groups 2, 3, and 4. None of the mice in this therapeutic study showed any symptoms of dehydration or significant body weight loss during the entire treatment period. Regimen 6 showed a great increase in the frequency of CD3+ and CD8+ T cells within the tumors and was the most efficacious in restoring the immunoactive state of the TME (Figure S18).[10,35] Tumor sections (H&E) obtained from mice treated with NIE-NPs revealed a marked decrease in Ki-67 expression, an increase in CD8+ T cells, and a decrease in Foxp3 (Treg cells), compared with other control groups. There was an increase in CD68 and a decrease in CD163, and the percentage of M1-phenotype macrophage in the total macrophages was 60%, which was much higher than that of the other control groups (Figures S19 and S20). To better clarify the contribution of the recruitment of CD8 T cells to tumors in NIE-NPs’ immunotherapy, we performed a tumor protection experiment with depleting the CD8 T cell antibody (Figure S21). As expected, the therapeutic efficacy of NIE-NPs was diminished in mice given CD8 T cell-depleting antibody (poor tumor inhibition and short survival), indicating the effectiveness and importance of tumor-homing of CD8 T cells in NIE therapy. Since the receptor-mediated bispecific NIE could significantly mount a systemic antitumor response by capturing Teff cells and reprogramming of the TME, we believe it could enhance the efficacy of ICB therapy. We investigated the therapeutic synergy between the bispecific NIE and PD-1/PD-L1 ICB therapy (Figure a–c). Not unexpectedly, regimen 5 plus anti-PD-1 treatment significantly suppressed tumor growth, resulting in a longer median survival, compared with eight treatments of regimen 5 without anti-PD-1 as shown in Figure d and f (49.5 d vs 39 d); both of these treatments, however, were not able to completely eliminate the tumors. Most remarkably, mice treated with regimen 6 (NIE-NPs) plus anti-PD-1 resulted in gradual shrinkage and eventual complete elimination of tumors within 21 days, and without any sign of recurrence during the observation period of 90 days, validating the synergistic effects of our bispecific NIE with ICB therapy.
Figure 5

Bispecific NIE greatly enhances ICB therapy in mice bearing 4T1 breast tumor and Lewis lung tumor. (a) Experimental design: orthotopic tumor inoculation and treatment protocol (four treatment arms; regimens 4, 5, and 6 are the same as those shown in Figure a). (b) Tumor response in mice bearing orthotopic 4T1 tumor over 21 d of treatment (n = 8 per group). Data are presented as mean ± s.d. (c) Cumulative survival of the four treatment groups. (d) Experimental design: Mice previously treated with regimen 6 plus anti-PD-1 Ab were rechallenged with reinoculation of 4T1 breast cancer cells on day 90. The same operation was carried out on the same age naïve mice as a negative control group. (e) No antitumor immune memory effect was observed in the same age naïve mice. (f) An antitumor immune memory effect was observed in mice previously treated with regimen 6 and anti-PD-1 Ab. (g) Cumulative survival of naïve mice and previously regimen 6 plus anti-PD-1-treated mice. (h and i) IFN-γ (h) and TNF-α (i) level in mice sera 6 days after mice were rechallenged with 4T1 tumor cells. (j and k) Observation of tumor inhibitory effect (j) and weight change (k) of mice bearing subcutaneous murine Lewis lung tumor over 21 d after initiation of treatment (n = 8 per group). The treatment protocol followed the experimental design in part a; five cycles (i.v. regimens 4–6 and i.p. anti-PD-1). Data are presented as mean ± s.d. (l) Cumulative survival of different treatment groups of mice bearing subcutaneous murine Lewis lung tumors. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

Bispecific NIE greatly enhances ICB therapy in mice bearing 4T1 breast tumor and Lewis lung tumor. (a) Experimental design: orthotopic tumor inoculation and treatment protocol (four treatment arms; regimens 4, 5, and 6 are the same as those shown in Figure a). (b) Tumor response in mice bearing orthotopic 4T1 tumor over 21 d of treatment (n = 8 per group). Data are presented as mean ± s.d. (c) Cumulative survival of the four treatment groups. (d) Experimental design: Mice previously treated with regimen 6 plus anti-PD-1 Ab were rechallenged with reinoculation of 4T1 breast cancer cells on day 90. The same operation was carried out on the same age naïve mice as a negative control group. (e) No antitumor immune memory effect was observed in the same age naïve mice. (f) An antitumor immune memory effect was observed in mice previously treated with regimen 6 and anti-PD-1 Ab. (g) Cumulative survival of naïve mice and previously regimen 6 plus anti-PD-1-treated mice. (h and i) IFN-γ (h) and TNF-α (i) level in mice sera 6 days after mice were rechallenged with 4T1 tumor cells. (j and k) Observation of tumor inhibitory effect (j) and weight change (k) of mice bearing subcutaneous murine Lewis lung tumor over 21 d after initiation of treatment (n = 8 per group). The treatment protocol followed the experimental design in part a; five cycles (i.v. regimens 4–6 and i.p. anti-PD-1). Data are presented as mean ± s.d. (l) Cumulative survival of different treatment groups of mice bearing subcutaneous murine Lewis lung tumors. Statistical significance was calculated using one-way ANOVA followed by Tukey’s post hoc analysis: *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. To assess whether the synergistic therapy of bispecific NIE plus anti-PD-1 Ab could induce a memory response, we rechallenged the “cured” mice from the previous experiment (regimen 6 plus anti-PD-1treatment, Figure a–c) with 4T1 tumor cells on the opposite mammary fat pad on day 90; mice of the same age were used as a negative control (Figure d–g). Either no tumor growth or a significant delay in tumor growth was observed in mice previously treated successfully with NIE-NPs plus anti-PD-1. The survival curves of this experimental group correlated well with the tumor growth results. In addition, the serum levels of cytokines such as TNF-α and IFN-γ in this experimental group were found to be much higher after the rechallenge with 4T1 tumor cells for 6 days (Figure h and i). These results suggest that a durable and robust T cell memory response was generated by regimen 6 (NIE-NPs) plus anti-PD-1 given previously. In addition, we speculated that, like the 4T1 breast cancer model, the NIE would also synergize ICB treatment of the lung cancer model. As expected, complete tumor regression and prolonged survival were obtained for the treatment of the Lewis lung syngeneic subcutaneous murine tumor model using NIE-NPs plus anti-PD-1 (five cycles, Figure j–l). No systemic toxicity and weight loss were detected. In spite of the clinical success of ICB therapy, only a fraction of cancer patients benefit from it. Defects in infiltration of Teff cells to the tumor sites are probably one of the main reasons why many patients remain refractory to such treatment.[3] We believe the receptor-mediated bispecific NIE reported here can provide a relatively simple solution to this challenge. By incorporating pro-ligands LLP2A and R848 to the in vivo transformable nanofibrillar networks, we have already demonstrated in syngeneic 4T1 breast cancer and Lewis lung cancer models that this nontoxic treatment can (1) significantly enhance the capturing of Teff cells (CD8+ T cells) in the tumor region, (2) promote retention of T cells at close proximity to the tumor cells, and (3) provide sustained release of R848 at the TME, resulting in the significant enhancement of the efficacy of the anti-PD1 antibody-based ICB. Since the programmable bispecific NIE is modular, we have the options of combinatorially incorporating various ligands, pro-ligands, or immunomodulators to generate a series of nanoengagers that may be applied for capturing other beneficial antitumor immune cells.
  34 in total

1.  Host Materials Transformable in Tumor Microenvironment for Homing Theranostics.

Authors:  Pei-Pei Yang; Qiang Luo; Guo-Bin Qi; Yu-Juan Gao; Bing-Nan Li; Jing-Ping Zhang; Lei Wang; Hao Wang
Journal:  Adv Mater       Date:  2017-02-13       Impact factor: 30.849

2.  Role of CD40 ligand in amyloidosis in transgenic Alzheimer's mice.

Authors:  Jun Tan; Terrence Town; Fiona Crawford; Takashi Mori; Anthony DelleDonne; Robert Crescentini; Demian Obregon; Richard A Flavell; Michael J Mullan
Journal:  Nat Neurosci       Date:  2002-12       Impact factor: 24.884

Review 3.  Immune-Related Adverse Events Associated with Immune Checkpoint Blockade.

Authors:  Michael A Postow; Robert Sidlow; Matthew D Hellmann
Journal:  N Engl J Med       Date:  2018-01-11       Impact factor: 91.245

Review 4.  Cooperativity Principles in Self-Assembled Nanomedicine.

Authors:  Yang Li; Yiguang Wang; Gang Huang; Jinming Gao
Journal:  Chem Rev       Date:  2018-04-25       Impact factor: 60.622

5.  Stable J-Aggregation of an aza-BODIPY-Lipid in a Liposome for Optical Cancer Imaging.

Authors:  Miffy H Y Cheng; Kara M Harmatys; Danielle M Charron; Juan Chen; Gang Zheng
Journal:  Angew Chem Int Ed Engl       Date:  2019-08-13       Impact factor: 15.336

6.  Generation of antibodies specific for beta-amyloid by vaccination of patients with Alzheimer disease.

Authors:  Christoph Hock; Uwe Konietzko; Andreas Papassotiropoulos; Axel Wollmer; Johannes Streffer; Ruth C von Rotz; Gabriela Davey; Eva Moritz; Roger M Nitsch
Journal:  Nat Med       Date:  2002-10-15       Impact factor: 53.440

7.  Extended release of perioperative immunotherapy prevents tumor recurrence and eliminates metastases.

Authors:  Chun Gwon Park; Christina A Hartl; Daniela Schmid; Ellese M Carmona; Hye-Jung Kim; Michael S Goldberg
Journal:  Sci Transl Med       Date:  2018-03-21       Impact factor: 17.956

8.  NF-κB c-Rel Is Crucial for the Regulatory T Cell Immune Checkpoint in Cancer.

Authors:  Yenkel Grinberg-Bleyer; Hyunju Oh; Alexis Desrichard; Dev M Bhatt; Rachel Caron; Timothy A Chan; Roland M Schmid; Ulf Klein; Matthew S Hayden; Sankar Ghosh
Journal:  Cell       Date:  2017-09-07       Impact factor: 41.582

Review 9.  Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy.

Authors:  Suzanne L Topalian; Janis M Taube; Robert A Anders; Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2016-04-15       Impact factor: 60.716

10.  Dual pH-sensitive nanodrug blocks PD-1 immune checkpoint and uses T cells to deliver NF-κB inhibitor for antitumor immunotherapy.

Authors:  Zecong Xiao; Zhenwei Su; Shisong Han; Jinsheng Huang; Liteng Lin; Xintao Shuai
Journal:  Sci Adv       Date:  2020-02-05       Impact factor: 14.136

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