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Advances in Radiation Oncology logoLink to Advances in Radiation Oncology
. 2022 Mar 3;7(3):100909. doi: 10.1016/j.adro.2022.100909

A Patient-Level Data Meta-analysis of the Abscopal Effect

Steven J Hatten Jr a, Eric J Lehrer b, Jenn Liao a, Congzhou M Sha a, Daniel M Trifiletti c, Shankar Siva d, Sean M McBride e, David Palma f, Sheldon L Holder g, Nicholas G Zaorsky a,h,⁎
PMCID: PMC8971834  PMID: 35372719

Abstract

Purpose

The abscopal effect is defined when a form of local therapy causes tumor regression of both the target lesion and any untreated tumors. Herein cases of the abscopal effect were systematically reviewed and a patient-level data analysis was performed for clinical predictors of both duration of response and survival.

Methods and Materials

The Population, Intervention, Control, Outcome, Study (PICOS) design approach, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) literature selection process, and Meta-analysis of Observational Studies in Epidemiology (MOOSE) were used to find articles published before September 2019 in MEDLINE/PubMed and Google Scholar. Inclusion criteria were (1) population: patients with reported abscopal response; (2) intervention: documented treatment(s); (3) control: none; (4) outcomes: overall and progression-free survival; and (5) setting: retrospective case reports. Time from treatment until abscopal response and time from abscopal response until progression/death were calculated. Univariate and multivariate analyses were conducted for survival outcomes.

Results

Fifty studies (n = 55 patients) were included. Median age was 65 years (interquartile range [IQR], 58-70) and 62% were male. Fifty-four (98%) patients received radiation therapy, 34 (62%) received radiation therapy alone, 5 (9.1%) underwent surgery, 4 (7.3%) received chemotherapy, and 11 (20%) received immunotherapy. Median total dose was 32 Gy (IQR, 25.5-48 Gy) and median dose per fraction was 3 Gy (IQR, 2-7.2). Median time until abscopal response was 4 months (IQR, 1-5; min 0.5, max 24). At 5 years, overall survival was 63% and distant progression-free survival was 45%. No variables had statistical significance in predicting duration of response or survival.

Conclusions

Almost all reported cases of the abscopal response are after radiation therapy; however, there are no known predictors of duration of response or survival in this population.

Introduction

The abscopal effect is defined when a form of local therapy (eg, radiation therapy [RT]) causes tumor regression of both the target lesion and any untreated tumors. Precise biological mechanisms are unknown, but the immune system may be integral in abscopal responses (Fig. 1).1, 2, 3 Owing to promising preclinical data, interest exists in combining immunotherapy with hypofractionated RT to stimulate abscopal responses4, 5, 6, 7 and improve patient outcomes.1,8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19

Figure 1.

Fig 1

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Abscopal effect defined.

Various mechanisms have been proposed to explain how radiation interacts with the immune system.10, 11, 12,20 Synergistic RT and immunotherapy have been shown to promote local immune responses4, 5, 6, 7,13 and have been hypothesized to improve the probability of tumor control.11 As a brief review, high dose per fraction RT has been shown to stimulate tumor associated antigen presentation and causes an increased ratio of immunologic cell death to tolerogenic responses, which stimulates CD8+ T lymphocytes, dendritic cells, and natural killer cells.11 Immune checkpoint inhibitors prevent immune tolerance of tumor cells by blocking tumor cell escape from immune surveillance via cellular targets (ie, Programmed Cell Death-1 and Cytotoxic T-Lymphocyte Antigen-4), which are expressed by tumor suppressor cells (CD4+ T lymphocytes, CD8+ T lymphocytes, dendritic cells, and natural killer cells).4, 5, 6, 7,11,13 These synergistic effects were thought to prime the immune system and induce an abscopal response.

Previous systematic reviews have examined the abscopal effect2,9; however, data on progression-free survival, distant metastasis, and overall survival were not reported; use of systemic therapies (including immune checkpoint inhibitors) were not routinely mentioned; and analyses for predictors of response were not performed. The hypothesis was that certain clinical covariates might predict for survival of patients with an abscopal response. Thus, we performed the first patient-level data meta-analysis for predictors of response.

Methods and Materials

Literature selection

The Population, Intervention, Control, Outcome, Study (PICOS) design approach was used to define the inclusion criteria (Table 1). A systematic search was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) literature selection process (Fig. 2) of studies in MEDLINE (PubMed) and Google Scholar. Inclusion criteria were (1) population: patients with reported abscopal response, which was defined by any form of local therapy causing regression of both the target lesion and any untreated tumors; (2) intervention: documented treatment(s); (3) control: none; (4) outcomes: overall and progression-free survival; and (5) setting: retrospective case reports.

Table 1.

PICOS inclusion criteria

Population Case reports of the abscopal effect published before September 26, 2019.
Intervention Clearly defined cancer therapy at time of abscopal response and prior courses of treatment (eg, radiation therapy, immunotherapy, chemotherapy, target therapy).
Control None.
Outcomes Overall and progression-free survival.
Time from treatment until abscopal response and time from abscopal response until progression or death were calculated. For overall and progression-free survival, the start time was calculated from the time of abscopal effect.
Study design Case reports and case series published in the English literature.
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Abbreviation: PICOS = Population, Intervention, Control, Outcome, Study.

Figure 2.

Fig 2

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Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.

This method of a patient-level data meta-analysis has been described previously in the literature.21,22 Relevant case reports were systematically identified through a search of PubMed/MEDLINE and Google Scholar with the broad term “abscopal effect.” The initial search yielded 701 articles. Reports that were cited or linked from any review articles and the individual case reports were included. After identifying 98 articles, 4 were rejected because they were not case reports. The remaining articles were screened by the first author (S.J.H.) and were included based upon the aforementioned criteria. Patients could receive any combination of treatment: surgery, RT, immunotherapy, chemotherapy, or targeted therapy for any malignancy. Finally, 50 studies including 55 patients were included.

Data abstraction and analysis

The definition for the start time of an abscopal effect was marked by any regression at an untreated tumor site as noted by imaging, per the report of primary authors from each case report. Individual case reports were reviewed by authors and information was manually extracted and coded into a database. The following data were coded from each case report: characteristics about patients (ie, age, sex), cancer (ie, type [per National Comprehensive Cancer Network guidelines], histology, mutation, stage), treatments received at any point before an abscopal response (ie, surgery, radiation, chemotherapy, immunotherapy), radiation dose (ie, Gy, dose/Gy, biologically effective dose with an α/β of 10), treatment received during the abscopal response (eg, radiation, chemotherapy, immunotherapy, target therapy), time from radiation to an abscopal effect, interval of follow- up/recurrence, and outcomes (ie, overall survival and distant progression-free survival at last known contact date). Unknown/missing variables were coded as missing in the database.

Results

The data of both patient and cancer characteristics are in Table 2. Fifty studies (n = 55 patients) published from 1954 to 2019 met inclusion criteria and were used.23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76 The median patient age was 65 years (interquartile range [IQR], 57-70), and there were 34 (62%) men and 21 (38%) women. Although all patients had metastatic disease at the time of the abscopal effect, only 17 (31%) patients initially presented with a metastatic tumor, and all others had recurrences after initially localized disease. Sixty-seven percent of patients had 5 cancer types: non-small cell lung cancer (NSCLC) (10, 18%),25,32,33,40, 41, 42,49,60,68,72 kidney (9, 16%),24,45,58,64,66,75 melanoma (7, 13%),28,38,48,54,65,70,71 lymphoma (6, 11%),37,51,59,63,73 and hepatobiliary (5, 9.1%).35,44,55, 56, 57

Table 2.

Included articles demonstrating abscopal effect

Study Year True defined* Sex Age Cancer type RT to primary RT to metastasis RT at multiple sites RT total dose (Gy) RT fx Average RT dose/fx (Gy) BED RT only RT + surgery RT + chemotherapy RT + IT Follow- up time (mo) Outcome New met
Cotter et al74 2011 Y M 70 39 N Y N 12 2 6 19.2 Y N N N 25 Alive Y
Ebner et al69 2017 Y M 75 13 N Y N 73.6 16 4.6 107 Y N N N 46 Dead Y
Y M 85 13 N Y N 50.4 12 4.2 71.5 Y N N N 92 Alive N
Fairlamb66 1981 Y F 73 23 N Y N 40 15 2.7 50.6 Y N N N 56 Alive Y
Golden et al72 2013 Y M 64 41 N Y N 30 5 6 48 N N N Y 10 Alive Y
Antoniades et al73 1977 Y M 44 55 Y N N 30 20 1.5 34.5 Y N N N - Alive N
Y M 40 55 Y N N 30 20 1.5 34.5 Y N N N - Alive N
Cong et al68 2017 Y F 64 41 Y N N 37.5 5 7.5 65.6 N N N Y - Alive N
Desar et al67 2016 Y M 19 47 N Y N 30 10 3 39 Y N N N 6 Dead Y
Joe et al61 2017 Y F 57 14 Y Y Y 54 30 1.8 63.7 N N Y N 48 Alive N
Lakshmanagowda et al59 2009 Y F 65 55 Y N N 24 12 2 28.8 Y N N N 6 Alive N
MacManus et al58 1994 Y M 58 23 Y N N 20 10 2 24 Y N N N 9 Dead N
Nam et al44 2005 Y M 65 21 N Y N 30 - - - Y N N N 15 Alive N
Ohba et al56 1998 Y M 76 21 N Y N 36 - - - Y N N N 25 Alive N
Okuma et al55 2011 Y M 63 21 N Y N 60.8 27 2.2 74.4 Y N N N 54 Alive N
Postow et al70 2012 Y F 33 25 N Y N 28.5 3 9.5 55.5 N N N Y 10 Alive N
Rees and Ross52 1983 Y M 49 16 Y N N 40 20 2 48 Y N N N 20 Dead -
Robins et al51 1981 Y F 59 55 N Y N 20 10 2 24 Y N N N 4 Dead Y
Stamell et al71 2012 Y M 67 25 Y N N 24 3 8 43.2 Y N N N 84 Alive Y
Takaya et al46 2007 Y F 69 10 Y N Y 22 10 2.2 26.8 Y N N N 12 Alive N
Wersäll et al45 2009 Y F 83 23 Y N N 32 4 8 57.6 Y N N N - Alive N
Y F 64 23 N Y N - - - - N N Y N 54 Alive N
Y M 69 23 N Y N 30 2 15 75 Y N N N 24 Alive Y
Y F 55 23 Y N N 32 4 8 57.6 Y N N N - Alive N
Sullivan et al48 2013 Y M 68 25 N Y N - - - - N N N N 13 Alive N
Hiniker et al65 2012 Y - - 25 N Y N - - - - N N N Y - Alive N
Isobe et al63 2009 N F 65 55 N N N 40 - - - N N N N 60 Alive N
Joe et al61 2018 Y M 74 16 Y Y Y 30 10 3 39 Y N N N 14 Alive N
Kodama et al60 2013 Y M 74 41 N Y Y 48 24 2 57.6 N N N Y 61 Dead Y
Nakanishi et al57 2008 Y M 79 21 Y N N 48 1 48 278 Y N N N - Alive N
Okwan-Duodu et al54 2015 Y F 50 25 N Y N - - - - N Y N Y 20 Alive Y
Hamilton et al25 2018 Y M 47 41 N Y N 25 5 5 37.5 N Y N N 7 Alive N
Gutkin et al38 2018 Y M 57 25 N Y N 54 3 18 151 N N N Y 78 Alive Y
Chino et al40 2018 Y M 58 41 N Y N 60 8 7.5 105 Y N N N 18 Alive N
Leung et al34 2018 Y F 65 7 Y Y Y 225 15 15 562 Y N N N 60 Alive N
Sperduto et al28 2017 Y F 36 25 N Y Y 25 5 5 37.5 N Y Y N 120 Alive N
Van de Walle et al24 2016 Y F 66 23 N Y N 39 13 3 50.7 Y N N N 17 Alive Y
Zhao et al23 2018 Y M 65 16 N Y N 42 6 7 71.4 Y N N N 15 Alive N
Katayama et al33 2017 Y M 63 41 N Y Y 45 15 3 58.5 Y N N N 9 Alive N
Britschgi et al41 2018 Y M 47 41 N Y N 18 3 6 28.8 N N N Y 24 Alive N
Kim and Kim35 2019 Y M 70 21 Y N N 48 4 12 105 N Y N N 21 Alive N
Bitran42 2019 Y F 62 41 Y N N 27 9 3 35.1 N N N Y 54 Alive N
Shinde et al29 2019 Y M 75 20 Y N Y 14.8 2 7.4 25.7 N N N Y 10 Alive N
Lin et al32 2019 Y M 71 41 N Y N 48 8 6 76.8 Y N N N 19 Alive Y
Brenneman et al36 2019 Y F 67 47 Y N N 50 25 2 60 Y N N N 18 Alive N
Sato et al31 2016 Y M 54 18 Y N N 48 24 2 57.6 N N N Y 5 Dead Y
Shi et al27 2017 Y F 67 43 Y N N 45 15 3 58.5 N Y N N 1 Dead N
Hidaka et al37 2017 Y M 88 55 Y N Y 32 8 4 44.8 Y N N N 6 Dead N
Barsky et al39 2019 Y M 67 24 Y N N 30 10 3 39 N N Y N 7 Dead N
Siva et al49 2013 Y F 78 41 Y N Y 60 30 2 72 Y N N N 2 Alive Y
Ishiyama et al64 2012 Y M 61 23 N Y Y 18 1 18 50.4 Y N N N 34 Alive Y
Poon and Wong53 2017 Y M 79 45 N Y Y 24 4 6 38.4 Y N N N 6 Alive N
Azami et al43 2018 Y F 64 7 Y Y Y 60 30 2 72 Y N N N 21 Alive N
Masue et al75 2007 N M 58 23 N N N - - - - N N N N 46 Alive N
Agyeman et al76 2019 Y M 56 47 Y N N 40 20 2 48 Y N N N 17 Alive N
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Abbreviations: BED = biologically effective dose, assuming an α:β ratio of 10; fx = fraction; IT = immunotherapy; met = metastasis; RT = radiation therapy.

⁎

Refers to whether or not the article demonstrates a true abscopal response (as defined by the result of any local therapy affecting a distant, untreated tumor).

Data pertinent to treatment characteristics are in Table 2. Treatment analysis was broken up into 3 phases: (1) prior treatment course, (2) treatment course leading up to an abscopal response, and (3) treatment during or after an abscopal response. All but 1 patient75 received RT either at the time of an abscopal response or in prior courses of therapy. (1) Prior treatment courses were as follows (treatments in this phase were not mutually exclusive): 9 (16%) had RT,28,33,38,41,46,53,63,72,74 26 (47%) had surgery,23,24,28,31,33,38, 39, 40, 41, 42,45,48,53, 54, 55,60,66, 67, 68, 69, 70,74, 75, 76 23 (42%) had chemotherapy,23,27,28,31,32,35,36,38,40, 41, 42,48,49,51,53,56,59,63,67,68,70, 71, 72 and 14 (25%) had immunotherapy.28,29,32,39,41,45,53,54,65,67,68,70,72,76 (2) During the course of treatment leading up to an abscopal response, 34 (62%) patients received RT alone,24,32, 33, 34,36,37,40,43, 44, 45,46,49,51, 52, 53,55,56,57, 58, 59,62,64,66, 67, 68, 69,71,73,74,76 5 (9.1%) underwent surgery with RT,25,27,28,35,54 4 (7.3%) received chemotherapy with RT,28,39,45,61 and 11 (20%) received immunotherapy with RT.29,31,38,41,42,54,60,65,68,70,72 (3) Treatments during or after the abscopal response were as follows: 22 (40%) patients received RT only to their primary tumor27,29,31,35, 36, 37,39,42,43,45,46,49,52,57, 58, 59,68,71,73,76 and 29 (53%) received RT only to a metastasis.23, 24, 25,28,32,33,38,40,41,43, 44, 45,48,51,53, 54, 55, 56,60,64, 65, 66, 67,69,70,72,74 Three (5.5%) patients received RT to both the primary tumor and a metastasis,34,61,62 but still experienced the abscopal response at a distant site from radiation (Table 2). Only 1 (1.8%) patient did not receive RT during the course of treatment leading to an abscopal response, but had a history of prior RT (Table 2).63 Targeted therapy was documented in 8 (15%) cases.24,43,48,53,54,60,67,68 The median reported radiation dose and dose per fraction were 32 Gy (IQR, 25.5-48 Gy; min 12 Gy, max 73.6 Gy) and 3 Gy per fraction (IQR, 2-7.2 Gy per fraction; min 1.5 Gy per fraction, max 48 Gy per fraction).

Ninety-six percent of the articles selected in this work demonstrated a clear abscopal effect as defined by the result of any local therapy affecting a distant, untreated tumor (Table 2). The median time until an abscopal effect was 3 months (IQR, 1-5; min 0.5, max 24). Median follow-up time after the abscopal effect was 18.5 months.23, 24, 25, 26, 27,28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56,58, 59, 60, 61, 62, 63, 64, 65, 66, 67,69, 70, 71, 72,74 New metastases occurred in 16 (29%) patients postabscopal effect,24,31,32,38,45,49,51,54,60,64,66,67,69,71,72,74 whereas the rest of the 39 (71%) patients had stable disease during case follow-up Figure 3. depicts Kaplan-Meier curves showing a 5-year overall survival of 63% and a 5-year progression-free survival of 45%. Univariate analysis was performed to explore factors that correlate to patient survival and development of new metastases. No variables had statistical significance in predicting duration of response or survival (Table 3).

Figure 3.

Fig 3

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Kaplan-Meier curves. (A) Overall survival at 5 years was 63%. (B) Progression-free survival at 5 years was 45%.

Table 3.

Predictors of overall survival and progression-free survival after abscopal response

Univariate hazard ratio 95% CI P value Multivariate hazard ratio 95% CI P value
Overall survival
Surgery
 No Ref Ref Ref Ref Ref Ref
 Yes 0.9 0.12-7.60 .96 1.16 0.11-12.13 .9
Chemotherapy
 No Ref Ref Ref Ref Ref Ref
 Yes 0.63 0.08-5.01 .66 0.46 0.04-4.79 .51
Immunotherapy
 No Ref Ref Ref Ref Ref Ref
 Yes 0.68 0.14-3.22 .63 0.6 0.12-2.92 .52
BED 10 Gy increase 0.99 0.96-1.01 .29 0.99 0.96-1.01 .3
Progression-free survival
Surgery
 No Ref Ref Ref Ref Ref Ref
 Yes 0.46 0.06-3.57 .46 3.7 × 10^-9 0-Inf .99
Chemotherapy
 No Ref Ref Ref Ref Ref Ref
 Yes 0.32 0.04-2.42 .27 0.93 0.11-7.73 .95
Immunotherapy
 No Ref Ref Ref Ref Ref Ref
 Yes 1.97 0.70-5.59 .2 1.21 0.39-3.80 .74
BED 10 Gy increase 0.99 0.98-1.01 .42 0.99 0.98-1.01 .36
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Abbreviations: BED = biologically effective dose; CI = confidence interval; Ref = reference value.

Discussion

This is the first patient-level data meta-analysis of reported abscopal effects. We found that 67% of abscopal responses were reported in NSCLC, kidney cancer, melanoma, lymphomas, and hepatobiliary cancers. Five years after an abscopal response, 55% of patients had disease progression and 63% were alive, which suggested these patients with metastatic cancer had a relatively favorable and indolent biology. All reported cases of the abscopal response were after RT, but not other local treatments like surgery. There were no known predictors of duration of response or survival.

Preclinical data suggested surgery did not boost the abscopal response77 nor did it induce antigen-specific immune responses in patients with prostate cancer, whereas radiation did.78 Furthermore, preclinical data combining focal RT with anti-programmed cell death protein 1 (anti-PD1/PDL1) agents (PD-1 is an immune checkpoint) demonstrated abscopal responses more reliably with higher doses per fraction than without combination.6 In clinical reports, patients with dramatic changes to their T-cell repertoire were more likely to be responders.15 Although these effects were hypothesized, 25% of patients in this work received immunotherapy but did not appear to have improvement in progression-free survival or overall survival, compared with patients who did not receive immunotherapy. Additionally, there was no apparent effect of radiation dose, dose per fraction, or treatment location (primary vs metastasis vs both) on outcomes.

Several case reports and retrospective studies have shown relationships between RT and immunotherapy in certain cancer types.16,17 Prospective trials in metastatic head and neck squamous cell carcinoma by McBride et al79 found the combination of stereotactic body RT (SBRT) and checkpoint blockade did not improve objective response rate in nonirradiated lesions or overall survival in unselected patients with metastatic disease. Yet, this approach was moderately predictive for overall survival in patients based on human papilloma virus status and PD1 status. A study by Theelen et al80 examined the effects of pembrolizumab in activating the tumor microenvironment in NSCLC. They discovered that administering SBRT before pembrolizumab doubled the overall response rate, but did not meet the prespecified endpoint, so larger studies are needed to fully examine this relationship.

Limitations of this analysis are as follows: first, recognizing a true abscopal effect as an example of clear systemic response may be obscured by bias in how the abscopal effect is reported. Distinguishing abscopal effects from spontaneous regression and the bystander effect can be highly subjective, and may cause underreporting or misreporting of abscopal responses by clinicians. There is heterogeneity for how an abscopal response is defined (regression at some untreated lesions vs regression at all untreated lesions). Second, the utilization of second or third line treatment, in addition to RT, may cause difficulty in deciphering the precise treatment that generated the abscopal effect. Finally, the study lacked a control group, so although the abscopal effect is extremely rare, it remains difficult to assess how these patients performed in comparison to patients of a similar cohort that did not exhibit an abscopal effect. In the primary literature, the magnitude of the abscopal response was often not documented. Not every case report of the abscopal effect is being published and not every study reported the same duration of follow-up in the same manner. To keep the data consistent, progression free survival and overall survival were used for gauging abscopal response.

To better study the abscopal effect in the future, there must be an emphasis on standardizing how the abscopal response is reported and monitoring for reporting bias within case reports. It has been reported that the peak PD1 upregulation can occur 4 to 6 days after tumor irradiation. Afterward, the expression of PD1 will decrease gradually.11 More work remains to be done for how to place various immunologic, pharmacologic, and radiotherapeutic mechanisms on a definitive abscopal effect timeline. To completely assess abscopal effects, a full timeline of disease evolution must be determined, and potential confounders must be accounted for in addition to evaluating the type of RT administered (SBRT vs conventionally fractionated RT). Future research should also consider investigating biomarkers, clinical parameters, and other methods to guide studies into the abscopal effect.

Conclusion

This is the first patient-level data meta-analysis of reported abscopal effects. We found that 67% of abscopal responses were reported in NSCLC, kidney cancers, melanomas, lymphomas, and hepatobiliary cancers. Ninety-six percent of the articles selected in this work demonstrated a clear abscopal effect as defined by the result of any local therapy affecting a distant, untreated tumor. Five years after an abscopal response, 55% of patients had disease progression and 63% were alive. Almost every reported case of the abscopal effect was after RT, and only rarely in other local treatments like surgery. There were no known clinical predictors of duration of response or survival.

Footnotes

Sources of support: This work had no specific funding.

Disclosures: Dr Zaorsky is supported by startup funding from the Penn State Cancer Institute and Penn State College of Medicine, and is funded by the National Institutes of Health Grant LRP 1 L30 CA231572-01 and by the American Cancer Society – Tri State CEOs Against Cancer Clinician Scientist Development Grant, CSDG-20-013-01-CCE. Dr Zaorsky and Dr Trifiletti received remuneration from Springer Nature for the textbook, Absolute Clinical Radiation Oncology Review. Dr Siva is supported by the Cancer Council Victoria Colebatch Fellowship and Peter MacCallum Discovery Partner Fellowship. Dr McBride is supported by funding from Genentech, Janssen, and Stand-Up-to-Cancer.

Data sharing statement: All data generated and analyzed during this study are included in this published article (and its supplementary information files).

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.adro.2022.100909.

Appendix. Supplementary materials

mmc1.xlsx (12.3KB, xlsx)
mmc2.xlsx (10.6KB, xlsx)

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