Literature DB >> 33194319

Immunotherapy as sensitizer for local radiotherapy.

Ben G L Vanneste1, Evert J Van Limbergen1, Ludwig Dubois2, Iryna V Samarska3, L Wieten4, M J B Aarts5, T Marcelissen6, Dirk De Ruysscher1.   

Abstract

The purpose of this report was to systematically review the radiation enhancement factor (REF) effects of immunotherapy on radiotherapy (RT) to the local tumor in comparison with other traditional radiation sensitizers such as cisplatin. PubMed and Medline databases were searched until February 2019. Reports with abscopal effect in the results were excluded. Graphs of the selected papers were digitized using Plot Digitizer (Sourceforge.net) in order to calculate the tumor growth delay (TGD) caused by immunotherapy. To enable comparison between different studies,the TGD were used to define the REF between RT versus the RT/immunotherapy combination. Thirty-two preclinical papers, and nine clinical series were selected. Different mouse models were exposed to RT doses ranging from 1 to 10 fractions of 1.8 to 20 Gray (Gy) per fraction. Endpoints were heterogeneous, ranging from regression to complete local response. No randomized clinical studies were identified. The median preclinical REF effect of different immunotherapy was varying from 1.7 to 9.1. There was no relationship observed either with subclasses of immunotherapy orRT doses. In the clinical studies, RT doses ranged from 1 to 37 fractions of 1.8 to 24 Gy per fraction. Most clinical trials used ipilimumab and interleukin-2. Local control rate in the clinical series ranged from 66% to 100%. A strong REF of immunotherapy (1.7 to 9.1) was observed, this being higher than traditionally sensitizers such as cisplatin (1.1). This result implies that for the same RT dose, a higher local control was achieved with a combination of immunotherapy and RT in preclinical settings. This study therefore supports the use of combined RT and immunotherapy to improve local tumor control in clinical settings without exacerbation of toxicities.
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.

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Keywords:  Clinical; Immunotherapy; local Effect; preclinical; radiosensitization; radiotherapy

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Year:  2020        PMID: 33194319      PMCID: PMC7605354          DOI: 10.1080/2162402X.2020.1832760

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


Introduction

Radiotherapy (RT) is one of the three anticancer treatments, besides surgery and systemic therapies like chemotherapy, hormonal therapy, or immunotherapy. Several randomized trials and meta-analyses have shown that the addition of either cisplatin or 5-fluorouracil-based chemotherapy to RT significantly improves local control and survival over RT alone in several cancer subtypes such as esophagus, head and neck, lung, rectum, anal, cervix, and bladder cancer.[1-7] Although RT primarily damages the DNA of local cancer cells, it also changes the tumor microenvironment by generating local inflammatory reactions and enhancing tumor cell recognition by the host’s immune system. These local processes can even be enhanced when triggering the immune system by immunotherapy.[8,9] RT-induced cancer cell damage exposes tumor-specific antigens to the immune system through a process called immunogenic cell death (ICD).[10] This process leads to improved priming and activation of cytotoxic T cells.[11] Furthermore, RT leads to the release of T-cell-attracting chemokines and the upregulation of surface receptors that makes tumor cells more vulnerable to T-cell-mediated cell killing. Such a combination may lead to increased effectiveness of local RT. Additionally, the RT + immunotherapy combination may even lead to an improved systemic effect, also known as the ‘abscopal’ effect (ab scopus: on a distant site) where the immune system starts to combat tumor deposits outside the radiation field more efficiently.[12] However, the abscopal effect is not within the scope of this review. The primary aim of this article is to systematically review the literature on the local effect of immunotherapy on RT in preclinical and clinical data. To this end, an estimation of the radiation enhancement factor (REF) for (the different forms of) immunotherapy was derived from the literature.

Materials and methods

A systematic review of the relevant literature search in the PubMed/Medline database was performed in February 2019 by BV. Search terms included ‘radiotherapy’ AND ‘immunotherapy’ AND ‘local effect(s)’. Furthermore, an additional search was performed using the terms ‘radiotherapy’ AND ‘immunotherapy’ AND ‘local’ NOT ‘review’ NOT ‘abscopal’ NOT ‘metastatic’. Results were limited to manuscripts in the English language. Preclinical and clinical data were included. A manual review of filtered records was conducted for relevance by screening on their titles and abstracts alone. Articles were excluded if solely describing the (systematic) abscopal effect, or if other concurrent cytotoxic treatments (chemotherapy, hyperthermia) were also administered. Clinical case reports on single patients were excluded. Finally, the selected clinical and preclinical papers from prior knowledge of the authors were also screened for additional papers that met the selection criteria. To assess the quality differences of the preclinical studies, we divided these into three levels of response according to their assumed clinical relevance and reliability of the study endpoints (Table 1). Level 1 represented the highest level of response with a complete remission of the local tumor over a long follow-up period of at least 6 months to exclude regrowth.[13] The 6 months threshold was chosen because in several experiments this level is taken as a cutoff, f.e. in a clinical trial, results would be reported as a percentage of complete responses. This level is denoted as cure and was scored as a percentage of test animals with a complete remission after a long time. Level 2 response represented a complete remission over a shorter follow-up period of less than 6 months. This level is defined as complete disappearance of the tumor after treatment, followed by regrowth within 6 months. Level 3 response represented growth delay as the reported endpoint, without achieving cure.
Table 1.

The three levels of response according to their assumed clinical relevance and reliability of the study endpoints (Table 1)

Level of responseStudy EndpointsClinical Releavance
1Local Tumor Control > 6 monthsSustained complete Response = Cure
2Local tumor control < 6 monthsComplete Response
3Growth DelayPartial Response
The three levels of response according to their assumed clinical relevance and reliability of the study endpoints (Table 1) To obtain a quantitative number of the local RT sensitizing effect of immunotherapy for the Level 3 studies, all graphs in the selected papers were digitized using Plot Digitizer (v2.6.8, Oct 2015, downloaded from https://sourceforge.net). Tumor growth delayed (TGD) was obtained for every specific immunotherapy agent and was calculated as: TGD = [Ttv x 4] – [Tcv x4] where Ttv x 4 and Tcv x 4 is the time to reach four fold tumor volume increase compared to treatment start, based on an exponential growth fit in treated tumors (tv) and in untreated control tumors (cv), respectively. When Ttv x 4 was not reached due to stable disease, i.e. tumor was not growing or tumor was cured (progression-free): the volume of the last day of follow-up was used. These calculated TGD were used to obtain the radiation enhancement factor (REF) by this formula: REF = TGDRT + IO/TGDRT When no graphics of tumor volume were available for calculating REF, the specific ratios are used: when survival curves were available, the REF was calculated as: REF = Median SurvivalRT + IO/Median SurvivalRT Again, if the median survival was not reached, the last day of follow-up was used. When percentages of responses were available, the REF was calculated as: REF = % DFSRT + IO/% DFSRT where DFS is the disease-free survival. Beside the three levels of responses in preclinical studies, the clinical results are reported as a percentage of partial responses. All forms of immunotherapy were divided into different subclasses according to their working mechanism: immune checkpoint inhibitors: anti-PD-(L)1; anti-CTLA4; cytokines: r-IL2; vaccines/dendritic cells; CPG/Toll-like receptor; and others. A non-parametric Kruskal–Wallis test is performed with a Dunn’s multiple comparisons test to obtain a significant differentiation of the subclasses of immunotherapy and in comparison of immunotherapy with cisplatin. A p-value <0.05 was considered statistically significant.

Results

We identified 1172 PubMed/Medline references (Figure 1). Thirty-seven preclinical papers were retrieved that directly reported local effects, which are summarized in Tables 2 and 3. All experiments were performed in mice except one report described experiments performed in rats, [17] All selected studies used RT in combination with immunotherapy to sensitize the local radiotherapy effect. Some reports also described the systemic effect of RT.
Figure 1.

Flowchart of studies, which were identified by the literature search, screened excluded or included from analysis

Table 2.

Overview of level 2 preclinical studies according to the search criteria

First AuthorYearTumor typeImplantation siteAnimal strainImmune competent/SyngeneicRadiotherapy(Site – Total Dose [Gy]/Fractions)ImmunotherapyObserved EffectLevel of responseSuggested mediator
Plautz[14]1996fibrosarcomaMCA 205i.c.C57BL/6 J (B6) mice+/+Whole BodyIrradiation – 5 Gy/1xAdoptive transfer of SEC2-activated tumor-draining lymph node cells from MCA 205 subcutaneous tumor-bearing B6 miceCR 100%2CD4CD8MHC-IMHC-II
Everse[15]1997SL2 lymphomaM8013 mammary carcinomas.c on one or both thighsDBA/2JIco miceC57BL/6 JIcoU mice+/+Local tumor – 10 to 25 Gy/1-4 x7000 IU/day rIL-220,000 IU/day rIL-2daily p.t. 5 to 10 dCR 100%2NA
Jὔrgenliemk-Schulz[16]1997SL2 lymphomaM8013 mammary carcinomas.c. on one or both flanksDBA/2JIco miceC57BL/6JIcoU mice+/+Local tumor – 10 to 25 Gy/1- 10x7000 IU/day rIL-220,000 IU/day rIL-2daily p.t. 5 to 10 dCR 90%2CD8CD4
Meng[17]20059 L gliomas.c. into the right flank or the right legFisher rat+/+Flank – 30 Gy/10xCpG oligodeoxynucleotide 28CR: 66%2Toll-like Receptor 9
Mason[18]2005Fibrosarcoma -C3Hfi.m. of the right hind legKamLaw mice+/+Leg – 10 to 90 Gy/10xCpG oligodeoxynucleotide 1826CR: 25 to 88%2Toll-like Receptor 9
Zegers[19]2015C51colon carcinoma, Lewis lung carcinoma, or 4T1 mammarycarcinoma cellss.c. FlankC57Bl/6 + Balb/c mice+/+Flank – 10 Gy/1xL19-IL2C51: CR: 75%LLC: additive effect4T1: no effect2an increased combination of NK and cytotoxic T cells4T1: low/negative ED-B–expressing
Van den Heuvel[20]2015Lewis lung carcinomai.m. right quadriceps muscleC57Bl/6 mice+/+Leg – 3.6 Gy/2xNHS-IL2CR 80 to 100%2Upregulated expression of effector T cells (CD3, CD4, CD8, CD25)
Schölch[21]2015pancreaticadenocarcinoma cell lines: Panc-1 a+ BxPC3Colorectal carcinoma cell lines HT29, HCT-116, and CT26s.c. in the right flankBALB/cfg+ C57Bl/6 mice+/+Flank – 10 Gy/5xToll-like receptor 7/8 agonistsCR: 50%2Upregulate antigen-presenting activity of dendritic cells + T cells
Connolly[22]2016Colon38, Glioma261, Line1i.m. left legC57BL/6 + BALB/cJ mice+/+Leg – 15 Gy / 1xCCR2/CCR5 antagonistCR: 40%2Increase of circulating + intratumoral inflammatory monocytes, chemokines; promote migration of myeloid cells, upregulation of CCL2 and CCL5 transcripts
Wu[23]2018BNL-P2 HCC cellss.c. in the right flankBalb/c mice+/+Flank – 10 Gy/1xadenoviral vector +,IL 12CR: 40%; PR: 50%2expression of MHC class II + CD40, CD86 on tumor-infiltrating dendritic cells
Zhuang[24]2018Lewis lung carcinoma -cellss.c. in the right legC57BL/6mice+/+Leg – 8 Gy/1xCpG (intratumoral),Anti-PD-1CR: 100%2Toll-like Receptor 9, CD8 + T-cell infiltration + PD-L1 expression

i.c.: intracranial injection, s.c.: subcutaneous, i.m.: inta-musculair CR: Complete Response, PR: Partial Response, NA: not appropriated

Table 3.

Overview of level 3 preclinical studies according to the search criteria

First AuthorYearTumor typeImplantation siteAnimalImmune competent /SyngeneicRadiotherapy(Site – Total Dose [Gy] / Fractions)ImmunotherapyObserved EffectLevel of responseSuggested mediator
Buchegger[25]1995Col 12 and LS174TTransplants on the middle of their backs at 2 cm from the tailnude mice- / +Back – 16 Gy/2x3 monoclonal anti-CEA antibodies (mAb 35, CE25-B7, and B93)Tumor growth delay3NA
Chiang[26]2000Fibrosarcoma – C3H/HeNs.c. in the right thighC3H/HeJ mice+ / +right thigh – 25 to 35 Gy/1 xIL-3 tumor vaccinTumor growth delay3increased intra tumoral levels of intercellular adhesion molecule-1, Mac-1, EB22/5.3, tumor necrosis factor
Lohr[27]20004T1 mammary tumor cfC3H – B16 melanomas.c. in the right hind legBALB + C57BL/6 mice+ / +Leg – 18 to 33 Gy/3 xAdenovirus, IL-12 – B7.1Tumor growth delay3Upregulation T-cells and NK-cells
Teitz-Tennenbaum[28]2003D5melanoma or MCA 205 sarcomas.c. in the mid-right flankC57BL/6 mice+ / +Flank – 42.5 Gy/5xDendritic cellD5: Tumor inhibition 65.9%MCA 205: tumor inhibition3IFN-ℽ production by host-derived T cells
Huang[29]2007renal cell carcinomas.c. in the right axillaC57Bl/6 mice+ / +Right Axilla – 35 Gy / 5xDendritic cellTumor growth delay3Down-regulation of Bcl-2, up-regulation of Bax, Expression of TNFα, IL-2, IL-4 m IFN-γ, IgG, IgM.
Meng[30]2012melanoma cell line B16SIYs.c. in the right legC57Bl/6 mice+ / +Right Leg – 6 or 12 Gy / 1xpoly(ADP-ribose) polymerase inhibitorveliparibTumor growth delay3express immune stimulatorycytokines (CCL2, CCL5, CXCL9, CXCL10, andCXCL11) to activate cytotoxic T lymphocytes
Wang[31]2012T-26, a murine colon carcinoma cell lines.c.in the left flankBALB/c mice+/+Left flank – 8 Gy / 1xDendritic cell + Recombinant heat shock protein 70Tumor growth delay3Expression of TNFα, IL-12, T-cell upregulation
Wei[32]2013murine D5 melanomas.c.in the right flankC57BL/6 (B6) and B6.PL-Thy1a/CyJ (CD90.1) mice+/+bilateral flanks – 8.5 Gy / 5xIL-2Tumor growth delay3expression of the effector cytokines IFN-γ and TNF-α by donor and host CD4+ and CD8 + T cells
Dovedi[33]2014CT26 murine colon carcinoma cellss.c. – not further specifiedBALB/c and C57Bl/6 mice+ / +Local – 10 Gy / 5xanti PD-L1Tumor growth delay3NK cells, CD8+T-cell upregulation
Lim[34]2014B16 melanomai.m.into the lower left thighC57BL/6J+ / +Leg – 15 Gy / 1xListeria monocytogenes-based cancer vaccineTumor growth delay3increase in intratumoral numbers of activated T cells, antigen-specific CD8 + t cells, natural killer cells + levels of effector molecules, such as interferon γ and granzyme B
Rekers[35]2015F9 terato-carcinoma cellss.c.in the flank129/SvHsd mice Flank – 12 Gy /1xL19-IL2Tumor growth delay3Extra Domain-B expressionand infiltration of cytotoxic T cells.
Blanchard[36]2015B16-OVA melanomas.c. in the hind limb.C57BL/6 mice+ / +Lower limb – 20 Gy/1xvesicular stomatitis virus- tumor-associated antigen viral immunotherapyTumor growth delay3Upregulation T cells
Mondini[37]2015TC1/Luccells / HNSCC implantation model –submucosal site of the right inner lipC57BL/6 mice+ / +head and neck region – 2.6 −7.5 Gy /1-4xSTxB-E7vaccineTumorgrowth delay3tumor-infiltrating, antigen-specific CD8 + T cells
Sharabi[38]2015MC38-OVA cells; B16-OVA melanoma cells; 4T1HA breast carcinoma cells.c.in the right flankC57BL/6, BALB/cJ, and MHC Class I knockout mices+/+Right flank – 10 to 20 Gy / 1xAnti- PD-L1Tumor growth delay3increasedT-cell infiltration in tumor: CD8+, CD4+ CD25+ Foxp3 + T-regulatory cells
Monjazeb[39]2016B16 melanoma or 4T1 breast adenocarci-nomainto the flankC57BL/6 or BALB/c mice+ / +Mammary fat pad / flank – 8 Gy/ 1xCpGoligodeoxynucleotide,enzyme indolamine-2,3-dioxygenase blockadeTumor growth delay3upregulation Toll-like Receptor 9, CD4+
Young[40]2016CT26 murine colorectal carcinomas.c.in the right hind limbBALB/c and FVB mice+/+Limb – 20 Gy / 1xOX40 (CD134)Anti-CTLA4Tumor growth delay3Depletion of CD4+ or CD25
Zheng[41]2016Panc02 and MC57-SIY cellss.c. on the back of the miceC57BL/6 mice+ / +Local – 20 Gy/1xVaccination+ antiPD-L1Tumor growth delay3CD8 + T cell infiltration; upregulation of CXCL10 and CCL5 chemokine
Oweida[42]2017LY2 + B4B8 squamous cell carcinomaSubmucosal via thebuccal mucosaBALB/c mice+/+Buccal + regional neck level – 10 Gy/1xanti PD-L1Tumor growth delay3upregulation of PD-L1increasedT-cell infiltration in tumor
Weiss[43]2017SMA glioma cell linesintracranial (the right striatum)C57BL/6 CD45.2 mice+/+Cranial – 4 Gy/1xNKG2D-Based CAR T CellsTumor growth delay3high IFNg production and cytolytic activity in vitro
Choi[44]2018CT-26 colon carcinoma cellss.c. into the right legs and left flanksBALB/c mice+/+Leg – 15 Gy/1x –Dendritic cellTumor growth delay3Maximum Dendritic cell sensitization andT-cell stimulation with IL-10, IL-12, and interferon (IFN)-γ production
Wang[45–50]2019Lewis lung carcinomas.c. into the left upper flankC57Bl/6 mice+ / +Flank – 24 Gy/3xα-PD-L1Tumor growth delay3CD8 T-cell infiltration; PD-L1 expression

s.c.: subcutaneous, i.m.: inta-musculair, PR: Partial Response, NA: not appropriated

Overview of level 2 preclinical studies according to the search criteria i.c.: intracranial injection, s.c.: subcutaneous, i.m.: inta-musculair CR: Complete Response, PR: Partial Response, NA: not appropriated Overview of level 3 preclinical studies according to the search criteria s.c.: subcutaneous, i.m.: inta-musculair, PR: Partial Response, NA: not appropriated Flowchart of studies, which were identified by the literature search, screened excluded or included from analysis Seven different immune-competent mouse strains had been used: the C57BL/6 and Balb/c were most frequently presented. These mice had been mostly used because the tumor models were syngeneic with these genetic strains (See Table 2). Only one report used nude mice to investigate the role of T cells in the association of RT and immunotherapy. Radiation doses varied from conventional schedules of 1.8 to 2 Gy per fraction to extreme hypofractionation, ranging from 1 to 10 fractions of 1.8 to 20 Gray (Gy) per fraction (Table 2). Responses varied from local regression to complete cure. Data were available from many different immunotherapy classes in regards to their working mechanisms, see Table 2.

Results from level 1 studies

No studies reported on level 1 outcome with a follow-up of longer than 6 months. Several studies observed a long follow-up, however, none longer than 180 days have been described.

Results from level 2 studies

Table 2 provides an overview of the 11 studies reporting Level 2 response. The preclinical reports describing complete responses in 100% of cases were using Staphylococcal enterotoxins (SEC2)-activated T lymphocytes, IL-2, CpG (intratumoral), anti-PD-1, and adenoviral vector + IL-12. The calculated REF’s are represented in Figure 2. Thirty-four graphics are analyzed with median REF of 9.1, 1.7, 2.8, 7.3, and 3.1 for anti-PD-(L)1; cytokines: r-IL2; vaccines/dendritic cells; CPG/Toll-like receptor; and other immunotherapies, respectively. REF varied between 0.4 and 52.1.
Figure 2.

The radiotherapy sensitizing effect of Immunotherapy is compared between different studies: therefore tumor growth delay(TGD) was calculated and used to define the Radiation Enhancement factor (REF) between radiotherapy combined with immunotherapy and radiotherapy alone. The X axis displays the various classes of immunotherapies used in the studies: (1) anti-PD-(l)-1, (2) CTLA4, (3) cytokines: r-IL-2, (4) Vaccination / Dendritic cells, (5) CPG / Toll-like receptor, and (6) others. The Y-axis represents the value of the REF, from 0 to 90. The blue-dashed line is a REF value of 1, meaning RT + immunotherapy has the same effect as RT solely. Every dot represents a single calculated REF of one preclinical study. Several dots are calculated per study. A horizontal line represents the mean REF per immunotherapy. A green dot represents the calculated REF’s based on survival curves or on response rates: these are based on the volume of the last day of follow-up because the tumor was progression free. Therefore these dots are a minimal representation of the REF because in reality it concerns a higher REF

The radiotherapy sensitizing effect of Immunotherapy is compared between different studies: therefore tumor growth delay(TGD) was calculated and used to define the Radiation Enhancement factor (REF) between radiotherapy combined with immunotherapy and radiotherapy alone. The X axis displays the various classes of immunotherapies used in the studies: (1) anti-PD-(l)-1, (2) CTLA4, (3) cytokines: r-IL-2, (4) Vaccination / Dendritic cells, (5) CPG / Toll-like receptor, and (6) others. The Y-axis represents the value of the REF, from 0 to 90. The blue-dashed line is a REF value of 1, meaning RT + immunotherapy has the same effect as RT solely. Every dot represents a single calculated REF of one preclinical study. Several dots are calculated per study. A horizontal line represents the mean REF per immunotherapy. A green dot represents the calculated REF’s based on survival curves or on response rates: these are based on the volume of the last day of follow-up because the tumor was progression free. Therefore these dots are a minimal representation of the REF because in reality it concerns a higher REF

Results from level 3 studies

Table 3 shows an overview of the 21 studies reporting level 3 response. REF varied between 0.4 and 84.3. These calculated REF’s are represented in Figure 2. Sixty-five graphics are analyzed with median REF of 2.5, 1.9, 1.9, 2.7, 2.3, and 1.8 for anti-PD-(L)1; anti-CTLA4; cytokines: r-IL2; vaccines/dendritic cells; CPG/Toll-like receptor; and other immunotherapies, respectively. All forms of immunotherapy were divided into different classes to obtain more differentiation of the subclasses. However, neither a relationship was observed between the type of immunotherapy, nor in the dose, nor the timing of RT. A significant difference was observed of the immunotherapy subclasses of vaccines/dendritic cells, and others versus cisplatin; p = .0484 and 0.0324, respectively.

Results from clinical studies

No randomized clinical studies were identified. Table 4 provides an overview of the clinical studies. Eight series of patients have been reported, from which melanoma and renal cell carcinoma were the most frequent tumor histology types. RT doses were widely dispersed, ranging from 1 to 37 fractions of 1.8 to 24 Gy per fraction. The two most commonly used immunotherapy agents were ipilimumab and IL-2, administered in 3 and 2 clinical reports, respectively. In four trials the immunotherapy has been prescribed during RT, whereas in two trials it was prescribed before, during, and after RT. In two other trials, the immunotherapy started several days after commencing RT. Local tumor control rates varied from 66% to 100%.
Table 4.

Overview of clinical studies according to the search criteria

First AuthorYearTumor:Histology (Origin)NRadiotherapy(Site – Dose [Gy]/Fractions)ImmunotherapyLocal responsePFS after response
Brinkmann[51]2005RCC (Renal)20Bone/ Kidney – 45-50 Gy/ 25xIL-2, IFN-a15% CR, 15% PR, 45% SD, 25% PDNA
Jacobs[52]2005Nasopharyngeal Carcinomas1070 Gy/35xIL-2Local control 77%63% 5 y
Seung[53]2012RCC(renal) + Melanoma (skin)1260 Gy /3xIL-2LC: 100% M+16 months
Barker[54]2013Melanoma2930 Gy / 5xIpililumabLocal response: 77%39 months
Abei[55]2013HCC (Hepato Cellular Carcinoma)952.8– 87.6 Gy /22-37xIn situ injection of ‘’CalTUMP’’(BCG extract + hydroxyapatite +microparticulated tuberculin)Local response: 66%6 months
Kiess[56]2015Melanoma (Skin)46Brain – 15-24 Gy/1xIpililumab1-y LC 87 to100%*NA
Twyman-Saint Victor[57]2015Melanoma Skin)2212– 24 Gy/2-3XIpililumab5% CR; 28% PR; 41% SD; 18% PD – 8% NA3.8 months
Nardin[58]2018Melanoma Skin)74BrainPembrolizumabLC: 80% M+4 months
Overview of clinical studies according to the search criteria

Discussion

Radiation sensitizers such as chemotherapy, monoclonal antibodies, and targeted agents, increase the local tumor effects of RT, without the need for higher RT doses and these have been clinically used in different cancer subtypes. These sensitizers increase the local and systemic control approximately with 10% to 20% .[54-57] However, with these regimens, radiation toxicity (such as oral mucositis) has been exacerbated. Many other common side effects such as myelosuppression, nausea, and vomiting have been observed.[11,54] In this review, immunotherapy was critically analyzed as a sensitizer for RT: different multiply sensitizing factors ranging from 0.4 to 84 have been derived from the reviewed literature for different subtypes of immunotherapy. This increase is enormous compared to the 0.1 increase found for the classical radiosensitizing drug cisplatin. When comparing the combination of RT-immunotherapy with RT in preclinical studies, mostly short-term responses were observed. The complete responses in all cases for more than 6 months were not documented in any preclinical setting. However, the mean life span of a mouse is 1.5 years, which means that this cutoff time will be barely observable in the pre-clinical setting. Most reports showed tumor growth delay, which meant that the optimal combination of specified immunotherapy is not yet known. Moreover, a wide range of different immunotherapy agents with different working mechanisms have been described. However, in the preclinical setting, the experimental set-up was generally not intended to quantify complete responses over a long time period: the sensitization effect therefore still needs to be demonstrated. Therefore, conscious decisions have been made to choose low RT doses in combination with different immunotherapy.

Local radiosensitization in patients

The local immunological potential of certain tumors also comes to the forefront in different case reports that described the combination of RT + immunotherapy treatment: a number of manuscripts have already confirmed the presence of abscopal effects of RT + immunotherapy.[12] Table 4 summarizes the local effect in patients and circumscribe the preclinical analyses, findings, and conclusions: immunotherapy is an extremely good local radiosensitizer in comparison with cisplatin or 5-Fluororacil. Ipilimumab is the most clinically cited immunotherapy in malignant melanoma. Ipilimumab causes CTLA-4 (cytotoxic T-lymphocyte-associated protein 4) blockade leading to a decreased exhausted phenotype on CD8 T cells and decreased regulatory T-cell (Treg) activity.[58] This synergizes well with RT since Tregs lead to a suppressed immune response and tend to be more radio-resistant than other T cells .[59] These Treg inhibitions increase the CD8/Treg-ratio resulting in modest peripheral expansion of TCR (T-cell receptor)-clonotypes in the tumor. RT has the effect of diversifying the TCR repertoire of tumor-infiltrating lymphocytes and further shapes the repertoire of expanded clones, resulting in better local outcomes. Several reports of combinations of multiple immunotherapy have been are published reporting better overall survival than solely using immunotherapy: 5 years overall survival was 52% in the nivolumab-plus-ipilimumab group, in comparison with 44% in the nivolumab group, and 26% in the ipilimumab group.[60]

Timing and dose of radiotherapy

RT induces inflammation and necrosis, attracting in-field dendritic cells (DC) and other types of Antigen Presenting Cells (APC) into the tumor micro-environment.[61] Immune cells appear to be highly radiosensitive: in the body, naïve lymphocytes are one of the most radiosensitive among all cells: doses of 0.5 Gy have proven to be already cytotoxic.[62] DC and APC may survive higher RT doses, however, more rapid function loss has been observed.[63] Therefore, the choice of fractionation schedule and (consequently) the time point between different fractionations could impact on the availability of local immune effectors. The results are mainly dependent on the type of immunotherapy and the RT dose. In some reports, fractionation has been useful, while in others a single high-dose of RT appears to be best. High-dose RT seems to be good at producing immunogenic modulation of tumors resulting in intense CD8+ T-cell tumor infiltration, and a loss of myeloid-derived suppressor cells (MDSC).[64] Due to the shorter period of treatment, this may avoid continued eradication of responding lymphocytes.[65] Furthermore, high-dose RT results in more vascular and stromal damage and increased apoptosis of tumor cells, thus creating a tumor microenvironment with increased levels of tumor-associated antigens.[66] When combining immunotherapy with RT, concurrent administration reveals a better superior sensitizing effect.

Limitations

This review has shown that different forms of immunotherapy have large potential to improve local tumor control within the radiation field. For the first time, systematic review has been performed to compare the effectiveness of different forms of immune treatment, and doing so in a quantitative way, using Radiation Enhancement Factors. An original approach was introduced enabling comparison of the results from different studies. This was done by extracting and digitizing the growth data of tumors from different experimental setups, determining the tumor growth delay for radiotherapy as well as for the combined immune treatment. These data could then be used to determine the radiation enhancement factor as the ratio of the growth delay for combined treatment to that for radiation-only treatment. Since this methodology can be used to compare the potential of any kind or class of radiosensitizers, the methodology can be applied to address many alternative questions in this field. And, as growth delay experiments are the most widely used preclinical in vivo experiments assessing the efficacy of a radiosensitizer, our approach can move the field forward significantly in other areas, based on already available data. However, this review has also some limitations. Firstly, most reports were preclinical, including only small numbers of cases. The modeling of animals has biological and physical limitations, so this should be considered when interpreting preclinical RT trials. Murine tumor and normal tissue radiation response has been shown to vary from humans in regards to cellular and molecular pathways.[67] Secondly, as no randomized phase III trials were available, no good control groups have been reported to compare the combination therapy in the clinical reports. Thirdly, with the search strategy employed, abscopal reports were specifically excluded. Hence, it is possible that certain reports with a focus on abscopal effects but also reporting on local control have not been included in this review. Moreover, the search and screening method could be optimized. Further, the evaluation of clinical local responses has not been consistent in every report: the disease progression is often reported without mentioning specific details of the local control. However, local control evaluation after extreme high-RT dose in combination with immunotherapy is obsolete: the tumor has already been destroyed by the RT itself. Response criteria are sometimes according to the traditional Response Evaluation Criteria In Solid Tumors (RECIST) criteria.[68] However, the evaluation criteria of the response of immunotherapy can differ from those with traditional therapies: a progression of known lesions or even the appearance of new lesions, before stabilization of the disease or even regression can be observed.[69] Therefore, consensus-based criteria for response to immunotherapy (iRECIST) have been developed recently for use in trials testing immunotherapy.[70] Moreover, a possible time delay could exist between the systemic treatment and the evaluation of the response to RT, and the presence or absence of control, in order to distinguish this effect of systemic treatment or RT. Next, the levels of responses that we used to stratify the quality differences among the several preclinical studies consisted of only three levels. However, level 1 response was more a theoretical level, since no mice-related work had follow-ups of greater than 6 months which were as per our definition the highest demand for clinical work, which is described as a knowledge gap. Additionally, the review is based on a relatively small amount of papers with a broad amount of variables: seven different immune-competent mouse strains with a disease heterogeneity (cancer type and subtype) using radiation doses varying from conventional schedules to extreme hypo-fractionation, with the application of different immunotherapies at various time points during, before and after the RT. Response of immune-radiotherapy combinations further depends on total dose, and probably also other parameters like the treated tumor volume and the patients’ condition or in preclinical studies the specified immunocompetence of the animal used. This study did take such parameters into account while comparing the different results over the described experiments. Finally, the number of clinical studies is limited and varies in methodologies. This can definitely be extended toward parameters like total dose, dose fractionation, and timing as discussed.

Perspectives

More clinical and mechanistic knowledge is needed about the precise immune reaction created by RT. This additional information will give us supplementary knowledge to individualize the best sensitizing effect of immunotherapy on RT. This can ultimately lead to decreasing RT doses, with consequently decreasing toxicity levels, while preserving excellent local control, thus leading the way forward toward new organ preservation strategies. However, immunotherapy can also lead to increased toxicities like dermatologic (rashes), colitis (diarrhea), hepatotoxicity, pneumonitis, and endocrinopathies (such as thyroid, hypophysitis). More research is therefore needed to examine these combination treatment strategies.

Conclusion

We concluded that different forms of immunotherapy can act as a local sensitizer for RT with good local control rates. Local effects were observed in a variety of tumor types, with different RT doses and fractionation schedules. Further research is needed to confirm the optimal RT-immunotherapy combination.
  69 in total

1.  Stereotactic radiosurgery for melanoma brain metastases in patients receiving ipilimumab: safety profile and efficacy of combined treatment.

Authors:  Ana P Kiess; Jedd D Wolchok; Christopher A Barker; Michael A Postow; Viviane Tabar; Jason T Huse; Timothy A Chan; Yoshiya Yamada; Kathryn Beal
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-03-05       Impact factor: 7.038

Review 2.  The abscopal effect of local radiotherapy: using immunotherapy to make a rare event clinically relevant.

Authors:  Kobe Reynders; Tim Illidge; Shankar Siva; Joe Y Chang; Dirk De Ruysscher
Journal:  Cancer Treat Rev       Date:  2015-03-28       Impact factor: 12.111

3.  Radiation enhances regulatory T cell representation.

Authors:  Evelyn L Kachikwu; Keisuke S Iwamoto; Yu-Pei Liao; John J DeMarco; Nzhde Agazaryan; James S Economou; William H McBride; Dörthe Schaue
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

4.  Combining radiation therapy with interleukin-3 gene immunotherapy.

Authors:  C S Chiang; J H Hong; Y C Wu; W H McBride; G J Dougherty
Journal:  Cancer Gene Ther       Date:  2000-08       Impact factor: 5.987

5.  Radiation-inducible immunotherapy for cancer: senescent tumor cells as a cancer vaccine.

Authors:  Yuru Meng; Elena V Efimova; Khaled W Hamzeh; Thomas E Darga; Helena J Mauceri; Yang-Xin Fu; Stephen J Kron; Ralph R Weichselbaum
Journal:  Mol Ther       Date:  2012-02-14       Impact factor: 11.454

6.  Defining the synergistic effects of irradiation and T-cell immunotherapy for murine intracranial tumors.

Authors:  G E Plautz; M Inoue; S Shu
Journal:  Cell Immunol       Date:  1996-08-01       Impact factor: 4.868

7.  PD-1 blockade enhances radio-immunotherapy efficacy in murine tumor models.

Authors:  Yuan Zhuang; Sihan Li; Huihui Wang; Jingbo Pi; Yuhui Xing; Guang Li
Journal:  J Cancer Res Clin Oncol       Date:  2018-08-03       Impact factor: 4.553

8.  Radiotherapy plus cetuximab for squamous-cell carcinoma of the head and neck.

Authors:  James A Bonner; Paul M Harari; Jordi Giralt; Nozar Azarnia; Dong M Shin; Roger B Cohen; Christopher U Jones; Ranjan Sur; David Raben; Jacek Jassem; Roger Ove; Merrill S Kies; Jose Baselga; Hagop Youssoufian; Nadia Amellal; Eric K Rowinsky; K Kian Ang
Journal:  N Engl J Med       Date:  2006-02-09       Impact factor: 91.245

9.  Immunologically effective dose: a practical model for immuno-radiotherapy.

Authors:  Raphaël Serre; Fabrice Barlesi; Xavier Muracciole; Dominique Barbolosi
Journal:  Oncotarget       Date:  2018-08-07

10.  Combination of radiotherapy and vaccination overcomes checkpoint blockade resistance.

Authors:  Wenxin Zheng; Kinga B Skowron; Jukes P Namm; Byron Burnette; Christian Fernandez; Ainhoa Arina; Hua Liang; Michael T Spiotto; Mitchell C Posner; Yang-Xin Fu; Ralph R Weichselbaum
Journal:  Oncotarget       Date:  2016-07-12
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Review 1.  Radiotherapy as a tool to elicit clinically actionable signalling pathways in cancer.

Authors:  Giulia Petroni; Lewis C Cantley; Laura Santambrogio; Silvia C Formenti; Lorenzo Galluzzi
Journal:  Nat Rev Clin Oncol       Date:  2021-11-24       Impact factor: 66.675

Review 2.  Radiation for Oligometastatic Lung Cancer in the Era of Immunotherapy: What Do We (Need to) Know?

Authors:  Stephanie T H Peeters; Evert J Van Limbergen; Lizza E L Hendriks; Dirk De Ruysscher
Journal:  Cancers (Basel)       Date:  2021-04-28       Impact factor: 6.639

Review 3.  Improvement of the anticancer efficacy of PD-1/PD-L1 blockade via combination therapy and PD-L1 regulation.

Authors:  Mengling Wu; Qianrui Huang; Yao Xie; Xuyi Wu; Hongbo Ma; Yiwen Zhang; Yong Xia
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Review 4.  The Potentiation of Anti-Tumor Immunity by Tumor Abolition with Alpha Particles, Protons, or Carbon Ion Radiation and Its Enforcement by Combination with Immunoadjuvants or Inhibitors of Immune Suppressor Cells and Checkpoint Molecules.

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Journal:  Cells       Date:  2021-01-25       Impact factor: 6.600

Review 5.  International consensus on radiotherapy in metastatic non-small cell lung cancer.

Authors:  Zhengfei Zhu; Jianjiao Ni; Xuwei Cai; Shengfa Su; Hongqing Zhuang; Zhenzhou Yang; Ming Chen; Shenglin Ma; Conghua Xie; Yaping Xu; Jiancheng Li; Hong Ge; Anwen Liu; Lujun Zhao; Chuangzhou Rao; Congying Xie; Nan Bi; Zhouguang Hui; Guangying Zhu; Zhiyong Yuan; Jun Wang; Lina Zhao; Wei Zhou; Chai Hong Rim; Arturo Navarro-Martin; Ben G L Vanneste; Dirk De Ruysscher; J Isabelle Choi; Jacek Jassem; Joe Y Chang; Lucyna Kepka; Lukas Käsmann; Michael T Milano; Paul Van Houtte; Rafal Suwinski; Alberto Traverso; Hiroshi Doi; Yang-Gun Suh; Georges Noël; Natsuo Tomita; Roman O Kowalchuk; Terence T Sio; Baosheng Li; Bing Lu; Xiaolong Fu
Journal:  Transl Lung Cancer Res       Date:  2022-09

6.  Immunology of Cell Death in Cancer Immunotherapy.

Authors:  Lorenzo Galluzzi; Abhishek D Garg
Journal:  Cells       Date:  2021-05-15       Impact factor: 6.600

  6 in total

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