Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T...

16
stm.sciencemag.org/cgi/content/full/12/532/eaay8707/DC1 Supplementary Materials for High-dose vitamin C enhances cancer immunotherapy Alessandro Magrì, Giovanni Germano, Annalisa Lorenzato, Simona Lamba, Rosaria Chilà, Monica Montone, Vito Amodio, Tommaso Ceruti, Francesco Sassi, Sabrina Arena, Sergio Abrignani, Maurizio DIncalci, Massimo Zucchetti, Federica Di Nicolantonio*, Alberto Bardelli* *Corresponding author. Email: [email protected] (A.B.); [email protected] (F.D.N.) Published 26 February 2020, Sci. Transl. Med. 12, eaay8707 (2020) DOI: 10.1126/scitranslmed.aay8707 The PDF file includes: Fig. S1. VitC quantification in plasma. Fig. S2. High doses of VitC are required for maximal antiproliferative effects in murine breast tumors. Fig. S3. Administration of antioxidant NAC does not impair VitC anticancer effect. Fig. S4. Flow cytometry for IFN-γ in spleen-derived T lymphocytes. Fig. S5. Isolation of T cells for adoptive T cell transfer. Fig. S6. Depletion of CD4 T cells for adoptive cell transfer experiments. Fig. S7. Tumor growth of individual mice treated as shown in Fig. 3 (A and B). Fig. S8. Tumor growth of individual mice treated as shown in Fig. 3 (C to E). Fig. S9. Modulation of tumor immune infiltration induced by VitC. Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes by flow cytometry. Fig. S12. VitC effect on growth of MMR-deficient tumors in NOD-SCID mice. Fig. S13. Tumor growth of individual mice bearing MLH1-KO tumors and treated with ICT and VitC as shown in Fig. 5D. Fig. S14. Tumor volume variations since treatment start of TS/A MLH1-KO and CT26 MLH1- KO tumors treated with ICT and VitC. Other Supplementary Material for this manuscript includes the following: (available at stm.sciencemag.org/cgi/content/full/12/532/eaay8707/DC1) Data file S1 (Microsoft Excel format). Tumor measurements of experiments in Fig. 1. Data file S2 (Microsoft Excel format). Tumor measurements of experiments in Fig. 2. Data file S3 (Microsoft Excel format). Tumor measurements of experiments in Fig. 3. Data file S4 (Microsoft Excel format). Immuno-phenotiping of CD4 and CD8 T cells.

Transcript of Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T...

Page 1: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

stm.sciencemag.org/cgi/content/full/12/532/eaay8707/DC1

Supplementary Materials for

High-dose vitamin C enhances cancer immunotherapy

Alessandro Magrì, Giovanni Germano, Annalisa Lorenzato, Simona Lamba, Rosaria Chilà, Monica Montone, Vito Amodio,

Tommaso Ceruti, Francesco Sassi, Sabrina Arena, Sergio Abrignani, Maurizio D’Incalci, Massimo Zucchetti, Federica Di Nicolantonio*, Alberto Bardelli*

*Corresponding author. Email: [email protected] (A.B.); [email protected] (F.D.N.)

Published 26 February 2020, Sci. Transl. Med. 12, eaay8707 (2020)

DOI: 10.1126/scitranslmed.aay8707

The PDF file includes:

Fig. S1. VitC quantification in plasma. Fig. S2. High doses of VitC are required for maximal antiproliferative effects in murine breast tumors. Fig. S3. Administration of antioxidant NAC does not impair VitC anticancer effect. Fig. S4. Flow cytometry for IFN-γ in spleen-derived T lymphocytes. Fig. S5. Isolation of T cells for adoptive T cell transfer. Fig. S6. Depletion of CD4 T cells for adoptive cell transfer experiments. Fig. S7. Tumor growth of individual mice treated as shown in Fig. 3 (A and B). Fig. S8. Tumor growth of individual mice treated as shown in Fig. 3 (C to E). Fig. S9. Modulation of tumor immune infiltration induced by VitC. Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes by flow cytometry. Fig. S12. VitC effect on growth of MMR-deficient tumors in NOD-SCID mice. Fig. S13. Tumor growth of individual mice bearing MLH1-KO tumors and treated with ICT and VitC as shown in Fig. 5D. Fig. S14. Tumor volume variations since treatment start of TS/A MLH1-KO and CT26 MLH1-KO tumors treated with ICT and VitC.

Other Supplementary Material for this manuscript includes the following: (available at stm.sciencemag.org/cgi/content/full/12/532/eaay8707/DC1)

Data file S1 (Microsoft Excel format). Tumor measurements of experiments in Fig. 1. Data file S2 (Microsoft Excel format). Tumor measurements of experiments in Fig. 2. Data file S3 (Microsoft Excel format). Tumor measurements of experiments in Fig. 3. Data file S4 (Microsoft Excel format). Immuno-phenotiping of CD4 and CD8 T cells.

Page 2: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Data file S5 (Microsoft Excel format). Tumor measurements of experiments in Fig. 5. Data file S6 (Microsoft Excel format). Plasma VitC analysis. Data file S7 (Microsoft Excel format). Tumor measurements of experiments in figs. S2 and S3. Data file S8 (Microsoft Excel format). Tumor measurements of experiments in fig. S6. Data file S9 (Microsoft Excel format). Tumor measurements of experiments in fig. S8. Data file S10 (Microsoft Excel format). Tumor measurements of experiments in fig. S12.

Page 3: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Supplementary figures:

Fig. S1. VitC quantification in plasma. Plasma was collected from Balb/c mice

without tumor and Balb/c mice orthotopically injected with TS/A tumor cells

(100,000 cells, 50% Matrigel), one hour after VitC i.p. administration. Heparinized

plasma samples were supplemented with 10% metaphosphoric acid and analyzed

by a LC-MS/MS based method. Individual values are shown. Mean and +/- SEM are

also shown. P values were calculated by student’s t test. NS, not significantly

different. Ctrl, control. VitC, vitamin C.

Balb/c mice without tumors

Balb/c mice with TS/A breast tumors

Plasma

P<0.0001 P<0.0001

Page 4: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S2. High doses of VitC are required for maximal antiproliferative effects

in murine breast tumors. TS/A cancer cells were orthotopically injected into

immunocompetent syngeneic mice (100,000 cells, 50% matrigel). Treatment with

the indicated VitC doses was initiated when tumors reached approximately 100

mm3 in volume, as indicated by the black arrow. Each experimental group was

composed of at least 5 mice. Data and error bars indicate mean +/- SEM. P values

were calculated by one-way ANOVA. NS, not significantly different. Ctrl, control.

VitC, vitamin C.

0 5 10 15 20 25

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mm

3)

Days

CTRL

VITC 4 g/kg

VITC 2 g/kg

VITC 1 g/kg

VITC 1.5 g/kg

VITC 0.5 g/kg

P<0.0001

n.s.

n.s.

TS/A - breast

Page 5: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S3. Administration of antioxidant NAC does not impair VitC anticancer

effect. A, TS/A cells were orthotopically injected into immunocompetent mice

(100,000 cells, 50% matrigel), and N-acetyl cysteine (1.2 g/kg) was administered

by daily gavage. The arrow indicates the timepoint at which treatment was started.

B, Tumors were explanted at the end of the experiment, and FFPE sections were

stained for 8-oxo guanine as a marker for ROS-induced DNA damage. Scale bar is

representative of 100 μm. Each experimental group was composed of at least 6

mice. Data and error bars indicate mean +/- SEM. P value was calculated using

one-way ANOVA at the indicated timepoint. NS, not significantly different. Ctrl,

control. VitC, vitamin C. NAC, N-acetyl cysteine.

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250

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1750

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CTRL

VITC

NAC + VITC

NACP<0.0001

n.s.

TS/A - breast

CTRL NAC VITC NAC + VITC

#1

#2

#3

8-oxo-guanine

A

B

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Fig. S4. Flow cytometry for IFN-γ in spleen-derived T lymphocytes. A-B,

Representative IFNγ positivity on CD4 T cells (A) and CD8 T cells (B) shown in Fig.

2 A and B. The fraction of positive cells was calculated on CD4 and CD8 positive

live events, respectively (500,000 events were acquired for each sample).

IFNγ+

CD

4+

4.2% 2% 4.8%

Control

Mouse 1 Mouse 2 Mouse 4

Mouse 1 Mouse 2 Mouse 5

Vitamin C

IFNγ+

CD

8+

5% 14.9% 10%

2% 2.4% 4.2%

Mouse 2 Mouse 3 Mouse 4

Mouse 1 Mouse 3 Mouse 4

Control

Vitamin C

A B

2% 1.9% 3.2%

Page 7: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S5. Isolation of T cells for adoptive T cell transfer. A-B, CD4 T cells (A) and

CD8 T cells (B) were isolated from the spleens of syngeneic mice (by negative

selection) and analyzed for purity by flow cytometry. The fraction of positive cells

was calculated on total live events (500,000 events were acquired for each

sample).

CD

4+

CD45+

CD

8+

1%

96%

Isolation of CD8 T cells

Isolation of CD4 T cells

90%

2%

CD

4+

CD45+

CD

8+

A B

Page 8: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S6. Depletion of CD4 T cells for adoptive cell transfer experiments. A,

TS/A cells (100,000) were orthotopically injected into immunocompetent

syngeneic mice. Isotype and CD4-depleting (indicated as antiCD4) antibodies were

administered according to the same experimental setting indicated in Figure 2. The

arrow indicates the timepoint at which VitC treatment was started. B, Blood was

collected and analyzed by flow cytometry to confirm effective CD4 T cell depletion.

A representative flow cytometry plot from a single animal is shown. C, The

percentages of CD4+ and CD8+ T cells were quantified by flow cytometry in blood

from animals (n= 4 per group) that received the indicated treatments. After 30

days, spleens were harvested and CD8 T cells isolated and adoptively transferred

into immunocompromised mice shown in Fig. 2H. Data and error bars indicate

mean +/- SEM. P values were calculated using one-way ANOVA. αCD4, anti-CD4.

αCD8, anti-CD8. Ctrl, control. VitC, vitamin C.

A B

C

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CTRL

antiCD4

VITC

antiCD4 + VITC P<0.0001n.s.

TS/A – breast

Isoty

pe

Isoty

peVitC

VitC

anti-

CD4

anti-

CD4

anti-

CD4

+ VitC

anti-

CD4

+ VitC

0

5

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15

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% p

osit

ive c

ells

CD4+

CD8+

Isoty

pe

Isoty

peVitC

VitC

anti-

CD4

anti-

CD4

anti-

CD4

+ VitC

anti-

CD4

+ VitC

0

5

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osit

ive c

ells

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CD8+

Isotype

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αCD4

CD

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CD45+

CD

8+

αCD4 + VitC

45% 19%

42% 19%

0.1% 29%

0.1% 23%

Page 9: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S7. Tumor growth of individual mice treated as shown in Fig. 3 (A and B).

A, PDAC pancreatic cancer cells were injected subcutaneously (500,000 cells) into

syngeneic mice that were treated as indicated. B, 4T1 breast cancer cells were

injected orthotopically (100,000 cells) into syngeneic mice that were treated as

indicated. VitC (4 g/kg) was administered i.p. 5 days/week starting when tumors

reached a volume around 100 mm3. Anti-CTLA-4 (200 μg/mouse) and anti-PD1

(250 μg/mouse) were given at the timepoints indicated by the dashed vertical

lines in the graphs. In combinatorial treatments, VitC was administered starting

with the first cycle of immunotherapy. The arrows indicate the timepoint at which

VitC treatment was started. Individual values are shown. Ctrl, control. VitC, vitamin

C.

0 10 20 30 40

500

1000

1500T

um

or

Vo

lum

e (

mm

3)

Days

4T1 - breast

PDAC - pancreatic

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r V

olu

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me (

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Days

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αCTLA4 + αPD1

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500

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αCTLA4 + αPD1

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A

B

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αCTLA4 + αPD1

αCTLA4 + αPD1 + VITC

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Days

Page 10: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S8. Tumor growth of individual mice treated as shown in Fig. 3 (C to E). A,

TS/A breast cancer cells were injected orthotopically (100,000 cells) into

syngeneic mice that were treated as indicated in Fig. 3C. B, CT26 colorectal cancer

cells were injected subcutaneously (500,000 cells) into syngeneic mice that were

treated as indicated in Fig. 3E. VitC (4 g/kg) was administered i.p. 5 days/week

starting when TS/A and CT26 tumors reached a volume of around 100 mm3 or

800-1000 mm3, respectively. Anti-CTLA-4 (200 μg/mouse) and anti-PD1 (250

μg/mouse) were given at the timepoints indicated by the dashed vertical lines in

the graphs. In combinatorial treatments, VitC was administered starting with the

first cycle of immunotherapy. The arrows indicate the timepoint at which

treatment was started. Individual values are shown. Ctrl, control. VitC, Vitamin C.

0 10 20 30 40 50

500

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mm

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TS/A - breast

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me (

mm

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Days0 10 20 30 40

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olu

me (

mm

3)

Days

0 10 20 30 40

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Tu

mo

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olu

me (

mm

3)

Days

CTRL

VITC

αCTLA4 + αPD1

αCTLA4 + αPD1 + VITC

0 10 20 30 40 50

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Tu

mo

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olu

me (

mm

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Days

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mo

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me (

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Days0 10 20 30 40 50

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mm

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Days

CT26 - colorectal

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αCTLA4 + αPD1

αCTLA4 + αPD1 + VITC

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mm

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Days

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A

B

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Days0 10 20 30 40

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mm

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mm

3)

Days

Experiment 1

Experiment 2

Experiment 1

Experiment 2

Page 11: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S9. Modulation of tumor immune infiltration induced by VitC. TS/A

orthotopic tumors were explanted, single cell suspended, and analyzed by flow

cytometry. Indicated cell percentages were gated according to the following gating

strategy: live CD45+, CD4+, CD127-, CD25+, FoxP3+ are indicated as Treg cells; live

CD45+, CD11b+, F4/80+ as macrophages; live CD45+, CD3-, CD49b as natural killer

cells; live CD45+, F4/80-, CD11c+ as dendritic cells. The fraction of positive cells

was calculated on CD45+ live events (500,000 events were acquired for each

sample). Individual values are shown. Mean and +/- SEM are also shown.

CTR

L

VIT

C

CO

MBO

TRIP

LA

0

10

20

30

40

50

% M

ac

rop

ha

ge

s

(of

live c

ells)

CTR

L

VIT

C

CO

MBO

TRIP

LA

0

20

40

60

80%

CD

45+

(of

live c

ells)

CTR

L

VIT

C

CO

MBO

TRIP

LA

0

5

10

15

20

25

% D

C

(of

live c

ells)

CTR

L

VIT

C

CO

MBO

TRIP

LA

0

5

10

15

20

% N

K

(of

live c

ells)

CTR

L

VIT

C

CO

MBO

TRIP

LA

0

1

2

3

4

% T

reg

(of

live c

ells)

Isoty

pe-C

trl

VitC

aPD1

+ aC

TLA4

aPD1

+ aC

TLA4

+ VitC

0

20

40

60

80

CD

8+

T c

ell

s /

HP

F

Isotype

VitC

αCTLA-4 + αPD-1

αCTLA-4 + αPD-1 + VITC

CD45+

Macrophages Dendritic Cells Natural Killers

Treg

P=0.0282

Page 12: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T

lymphocytes. The fraction of positive cells was calculated on CD45+ CD4+ live

events (500,000 events were acquired for each sample). VitC, Vitamin C.

CD45+

CD

4+

VitC αCTLA4 + αPD1 αCTLA4 + αPD1 + VitC

CD44+

CD

4+

CD69+

CD

4+

Mouse 1 Mouse 3 Mouse 4 Mouse 2 Mouse 1 Mouse 3 Mouse 4 Mouse 6

4,6% 13% 20.6% 16.3% 17% 15.3% 48% 24%

9,7% 8,7% 20.1% 16.8% 7,4% 7% 16% 13%

Isotype

5.3% 14.1% 26% 17% 21.6% 8.1% 25.9% 22%

Page 13: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S11. Representative CD44- and CD69-positive events on CD8 T

lymphocytes by flow cytometry. The fraction of positive cells was calculated on

CD45+ CD8+ live events (500,000 events were acquired for each sample). VitC,

Vitamin C.

Isotype

CD45+

CD

8+

VitC αCTLA4 + αPD1 αCTLA4 + αPD1 + VitC

CD44+

CD

8+

CD69+

CD

8+

Mouse 2 Mouse 4 Mouse 2 Mouse 1 Mouse 2 Mouse 4 Mouse 5 Mouse 3

15% 22% 28% 28% 22% 32% 27% 45%

10% 25% 27% 35% 17% 27% 12% 36%

7.2% 10% 21% 21% 11% 25% 20% 20%

Page 14: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S12. VitC effect on growth of MMR-deficient tumors in NOD-SCID mice.

Effect of VitC on MMR-proficient and MMR-deficient tumors in

immunocompromised mice that were treated with Vitamin C when tumors

reached approximately 100 mm3 in volume. The arrows indicate the timepoint at

which VitC treatment was started. Data and error bars indicate mean +/- SEM. P

values were calculated by one-way ANOVA. NS, not significantly different. WT,

wild-type. KO, knock-out. VitC, Vitamin C.

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r V

olu

me (

mm

3)

Days

MLH1 WT

MLH1 WT + VITC

MLH1 KO

MLH1 KO + VITC

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olu

me (

mm

3)

Days

MLH1 WT

MLH1 WT + VITC

MLH1 KO

MLH1 KO + VITC

TS/A - breast CT26 - colorectal

n.s. n.s.

Page 15: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S13. Tumor growth of individual mice bearing MLH1-KO tumors and

treated with ICT and VitC as shown in Fig. 5D. A, Breast TS/A and B, colorectal

CT26 tumor-bearing mice. MLH1-KO tumors were transplanted into

immunocompetent syngeneic mice and treated with ICT and VitC (4 g/kg) starting

at a tumor volume of 800-1000 mm3. Anti-CTLA-4 (200 μg/mouse) and anti-PD1

(250 μg/mouse) were given at the timepoints indicated by the dashed vertical

lines in the graphs. Individual values are shown. Ctrl, control. VitC, Vitamin C.

A B TS/A – MLH1-KO

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αPD1

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αPD1 + VITC

αCTLA-4 + VITC

αCTLA4 + αPD1

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αCTLA4 + αPD1

CT26 – MLH1-KO

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Page 16: Supplementary Materials for · Fig. S10. Flow cytometry on CD44 and CD69 T cell markers on CD4 T lymphocytes. Fig. S11. Representative CD44- and CD69-positive events on CD8 T lymphocytes

Fig. S14. Tumor volume variations since treatment start of TS/A MLH1-KO

and CT26 MLH1-KO tumors treated with ICT and VitC. Tumor volume

variations at the indicated timepoints since tumor transplantation of individual

mice shown in Fig. 5D. Individual values are shown. Mean and +/- SEM are also

shown. Ctrl, control. VitC, vitamin C.

TS/A - MLH1-KO day 25

CTR

L

VIT

C

aPD1

aCTLA

-4

aPD1

+ VIT

C

aCTLA

-4 +

VIT

C

aCTLA

4 + a

PD1

-100

-50

0

50

100

150

200

250

300

350

400

% T

um

or

vo

lum

e v

ari

ati

on

CTRL

VITC

aPD1

aCTLA-4

aPD1 + VITC

aCTLA-4 + VITC

aCTLA4 + aPD1

CTR

L

VIT

C

aPD1

aCTLA

-4

aPD1

+ VIT

C

aCTLA

-4 +

VIT

C

aCTLA

4 + a

PD1

-100

-50

0

50

100

150

200

250

300

350

400

% T

um

or

vo

lum

e v

ari

ati

on

CTRL

VITC

aPD1

aCTLA-4

aPD1 + VITC

aCTLA-4 + VITC

aCTLA4 + aPD1

CTR

L

VIT

C

aPD1

aCTLA

-4

VIT

C +

aPD1

VIT

C +

aCTLA

-4

aCTLA

4 + a

PD1

-100

-50

0

50

100

150

200

250

300

350

400

% T

um

or

vo

lum

e v

ari

ati

on

CT26 - MLH1-KO day 24

CTR

L

VIT

C

aPD1

aCTLA

-4

aPD1

+ VIT

C

aCTLA

-4 +

VIT

C

aCTLA

4 + a

PD1

-100

-50

0

50

100

150

200

250

300

350

400

% T

um

or

vo

lum

e v

ari

ati

on

CTRL

VITC

aPD1

aCTLA-4

aPD1 + VITC

aCTLA-4 + VITC

aCTLA4 + aPD1

0 10 20 30 40 50

500

1000

1500

2000

2500

Tum

or

Vo

lum

e (

mm

3)

Days

CTRL

αPD1

VITC

αCTLA4

αPD1 + VITC

αCTLA4 + VITC

αPD1 + αCTLA4

0 10 20 30 40 50

500

1000

1500

2000

2500

Tum

or

Vo

lum

e (

mm

3)

Days

CTRL

αPD1

VITC

αCTLA4

αPD1 + VITC

αCTLA4 + VITC

αPD1 + αCTLA4