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Importance of Transcription Factor MAFB expression in Tumor Progression

Omar Samir Ahmed AbdELwahed Ahmed 筑波大学 DOI:10.15068/0002008059

2023.09.04

概要

V-maf musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) is a
member of the large Maf transcription factor family. It is a bZIP transcription factor
that binds to the Maf recognition element (MARE) through its DNA binding domain
to regulate the expression of its target gene through its acidic domain [1]. Mafb is
expressed in several tissues and plays a role in the differentiation of various cell
types, such as podocytes [2], keratinocytes [3], and pancreatic α-cells and β-cells [3],
[4]. Depending on a transcriptome analysis within the hematopoietic cell lineage
using multi-dendritic cell (DC) and macrophage subsets, the expression of Mafb was
believed to be associated specifically with monocyte-macrophage lineage and not
DC lineage [5]. ...

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参考文献

[1]

K. Kataoka, K. T. Fujiwara, M. Noda, and M. Nishizawa, “MafB, a new

Maf family transcription activator that can associate with Maf and Fos but not with

Jun,” Mol. Cell. Biol., vol. 14, no. 11, pp. 7581–7591, Nov. 1994, doi:

10.1128/MCB.14.11.7581-7591.1994.

[2]

V. S. Sadl et al., “The mouse Kreisler (Krml1/MafB) segmentation

gene is required for differentiation of glomerular visceral epithelial cells,” Dev. Biol.,

vol. 249, no. 1, pp. 16–29, 2002, doi: 10.1006/dbio.2002.0751.

[3]

Y. Hang and R. Stein, “MafA and MafB activity in pancreatic β cells,”

Trends Endocrinol. Metab., vol. 22, no. 9, pp. 364–373, Sep. 2011, doi:

10.1016/J.TEM.2011.05.003.

[4]

W. Nishimura et al., “A switch from MafB to MafA expression

accompanies differentiation to pancreatic beta-cells,” Dev. Biol., vol. 293, no. 2, pp.

526–539, May 2006, doi: 10.1016/J.YDBIO.2006.02.028.

[5]

E. L. Gautiar et al., “Gene-expression profiles and transcriptional

regulatory pathways that underlie the identity and diversity of mouse tissue

macrophages,” Nat. Immunol., vol. 13, no. 11, pp. 1118–1128, Nov. 2012, doi:

10.1038/NI.2419.

[6]

D. Daassi, M. Hamada, H. Jeon, Y. Imamura, M. T. Nhu Tran, and S.

Takahashi, “Differential expression patterns of MafB and c-Maf in macrophages

in vivo and in vitro,” Biochem. Biophys. Res. Commun., vol. 473, no. 1, pp. 118–

27

124, Apr. 2016, doi: 10.1016/J.BBRC.2016.03.063.

[7]

M. T. N. Tran et al., “MafB is a critical regulator of complement

component C1q,” Nat. Commun. 2017 81, vol. 8, no. 1, pp. 1–14, Nov. 2017, doi:

10.1038/s41467-017-01711-0.

[8]

T. Shichita et al., “MAFB prevents excess inflammation after ischemic

stroke by accelerating clearance of damage signals through MSR1,” Nat. Med. 2017

236, vol. 23, no. 6, pp. 723–732, Apr. 2017, doi: 10.1038/nm.4312.

[9]

M. Hamada et al., “MafB promotes atherosclerosis by inhibiting foam-

cell apoptosis,” Nat. Commun. 2014 51, vol. 5, no. 1, pp. 1–14, Jan. 2014, doi:

10.1038/ncomms4147.

[10]

F. Ginhoux and M. Guilliams, “Tissue-Resident Macrophage Ontogeny

and Homeostasis,” Immunity, vol. 44, no. 3, pp. 439–449, Mar. 2016, doi:

10.1016/J.IMMUNI.2016.02.024.

[11]

Macrophage

J. I. Machiya et al., “Enhanced Expression of MafB Inhibits

Apoptosis

Induced

by

Cigarette

Smoke

Exposure,”

https://doi.org/10.1165/rcmb.2006-0248OC, vol. 36, no. 4, pp. 418–426, Dec. 2012,

doi: 10.1165/RCMB.2006-0248OC.

[12]

M. Sato-Nishiwaki et al., “Reduced Number and Morphofunctional

Change of Alveolar Macrophages in MafB Gene-Targeted Mice,” PLoS One, vol. 8,

no. 9, p. e73963, Sep. 2013, doi: 10.1371/JOURNAL.PONE.0073963.

[13]

A. Mantovani, F. Marchesi, A. Malesci, L. Laghi, and P. Allavena,

28

“Tumour-associated macrophages as treatment targets in oncology,” Nat. Rev. Clin.

Oncol., vol. 14, no. 7, pp. 399–416, Jul. 2017, doi: 10.1038/NRCLINONC.2016.217.

[14]

U. Mehraj, H. Qayoom, and M. A. Mir, “Prognostic significance and

targeting tumor-associated macrophages in cancer: new insights and future

perspectives,” Breast Cancer, vol. 28, no. 3, pp. 539–555, May 2021, doi:

10.1007/S12282-021-01231-2.

[15]

J. Ma, L. Liu, G. Che, N. Yu, F. Dai, and Z. You, “The M1 form of

tumor-associated macrophages in non-small cell lung cancer is positively associated

with survival time,” BMC Cancer, vol. 10, Mar. 2010, doi: 10.1186/1471-2407-10112.

[16]

P. J. Murray et al., “Macrophage activation and polarization:

nomenclature and experimental guidelines,” Immunity, vol. 41, no. 1, pp. 14–20, Jul.

2014, doi: 10.1016/J.IMMUNI.2014.06.008.

[17]

M. J. Cavnar et al., “KIT oncogene inhibition drives intratumoral

macrophage M2 polarization,” J. Exp. Med., vol. 210, no. 13, pp. 2873–2886, Dec.

2013, doi: 10.1084/JEM.20130875.

[18]

E. Segura et al., “Human Inflammatory Dendritic Cells Induce Th17

Cell Differentiation,” Immunity, vol. 38, no. 2, pp. 336–348, Feb. 2013, doi:

10.1016/J.IMMUNI.2012.10.018.

[19]

H. Yi et al., “Pattern recognition scavenger receptor SRA/CD204

down-regulates Toll-like receptor 4 signaling–dependent CD8 T-cell activation,”

29

Blood, vol. 113, no. 23, pp. 5819–5828, Jun. 2009, doi: 10.1182/BLOOD-2008-11190033.

[20]

J. Rusmaully et al., “Risk of lung cancer among women in relation to

lifetime history of tobacco smoking: a population-based case-control study in France

(the WELCA study),” BMC Cancer, vol. 21, no. 1, pp. 1–13, Dec. 2021, doi:

10.1186/S12885-021-08433-Z/TABLES/6.

[21]

J. Mei et al., “Prognostic impact of tumor-associated macrophage

infiltration in non-small cell lung cancer: A systemic review and meta-analysis,”

Oncotarget,

vol.

7,

no.

23,

pp.

34217–34228,

Apr.

2016,

doi:

10.18632/ONCOTARGET.9079.

[22]

M. K. Yadav et al., “Transcription factor MafB is a marker of tumor-

associated macrophages in both mouse and humans,” Biochem. Biophys. Res.

Commun.,

vol.

521,

no.

3,

pp.

590–595,

Jan.

2020,

doi:

10.1016/J.BBRC.2019.10.125.

[23]

N. Kim et al., “Single-cell RNA sequencing demonstrates the

molecular and cellular reprogramming of metastatic lung adenocarcinoma,” Nat.

Commun., vol. 11, no. 1, Dec. 2020, doi: 10.1038/S41467-020-16164-1.

[24]

X. Wu et al., “Mafb lineage tracing to distinguish macrophages from

other immune lineages reveals dual identity of Langerhans cells,” J. Exp. Med., vol.

213, no. 12, pp. 2553–2565, Nov. 2016, doi: 10.1084/JEM.20160600.

[25]

M. Laviron, C. Combadière, and A. Boissonnas, “Tracking monocytes

30

and macrophages in tumors with live imaging,” Front. Immunol., vol. 10, no. MAY,

p. 1201, 2019, doi: 10.3389/FIMMU.2019.01201/XML/NLM.

[26]

M. Miyai et al., “Transcription Factor MafB Coordinates Epidermal

Keratinocyte Differentiation,” J. Invest. Dermatol., vol. 136, no. 9, pp. 1848–1857,

Sep. 2016, doi: 10.1016/J.JID.2016.05.088.

[27]

J. Saylor et al., “Spatial Mapping of Myeloid Cells and Macrophages

by Multiplexed Tissue Staining,” Front. Immunol., vol. 9, p. 2925, Dec. 2018, doi:

10.3389/FIMMU.2018.02925/BIBTEX.

[28]

S. A. Almatroodi, C. F. McDonald, I. A. Darby, and D. S. Pouniotis,

“Characterization of M1/M2 Tumour-Associated Macrophages (TAMs) and

Th1/Th2 Cytokine Profiles in Patients with NSCLC,” Cancer Microenviron. 2015

91, vol. 9, no. 1, pp. 1–11, Aug. 2015, doi: 10.1007/S12307-015-0174-X.

[29]

A. Schmall et al., “Macrophage and cancer cell cross-talk via CCR2

and CX3CR1 is a fundamental mechanism driving lung cancer,” Am. J. Respir. Crit.

Care Med., vol. 191, no. 4, pp. 437–447, Feb. 2015, doi: 10.1164/RCCM.2014061137OC.

[30]

V. D. Cuevas et al., “MAFB Determines Human Macrophage Anti-

Inflammatory Polarization: Relevance for the Pathogenic Mechanisms Operating in

Multicentric Carpotarsal Osteolysis,” J. Immunol., vol. 198, no. 5, pp. 2070–2081,

Mar. 2017, doi: 10.4049/JIMMUNOL.1601667.

[31]

Z. Li et al., “The intratumoral distribution influences the prognostic

31

impact of CD68- and CD204-positive macrophages in non-small cell lung cancer,”

Lung

Cancer,

vol.

123,

pp.

127–135,

Sep.

2018,

doi:

10.1016/J.LUNGCAN.2018.07.015.

[32]

F. Fu et al., “Combination of CD47 and CD68 expression predicts

survival in eastern-Asian patients with non-small cell lung cancer,” J. Cancer Res.

Clin. Oncol., vol. 147, no. 3, pp. 739–747, Mar. 2021, doi: 10.1007/S00432-02003477-3/FIGURES/4.

[33]

B. Zhang et al., “M2-Polarized tumor-associated macrophages are

associated with poor prognoses resulting from accelerated lymphangiogenesis in

lung adenocarcinoma,” Clinics, vol. 66, no. 11, pp. 1879–1886, Nov. 2011, doi:

10.1590/S1807-59322011001100006.

[34]

K. Y. Jung et al., “Cancers with Higher Density of Tumor-Associated

Macrophages Were Associated with Poor Survival Rates,” J. Pathol. Transl. Med.,

vol. 49, no. 4, pp. 318–324, 2015, doi: 10.4132/JPTM.2015.06.01.

[35]

L. Cao et al., “<p>M2 macrophage infiltration into tumor islets leads

to poor prognosis in non-small-cell lung cancer</p>,” Cancer Manag. Res., vol. 11,

pp. 6125–6138, Jul. 2019, doi: 10.2147/CMAR.S199832.

[36]

M. Kreuzer et al., “Gender differences in lung cancer risk by smoking:

a multicentre case–control study in Germany and Italy,” Br. J. Cancer 2000 821, vol.

82, no. 1, pp. 227–233, Dec. 1999, doi: 10.1054/bjoc.1999.0904.

[37]

Y. Ohtaki et al., “Stromal macrophage expressing CD204 is associated

32

with tumor aggressiveness in lung adenocarcinoma,” J. Thorac. Oncol., vol. 5, no.

10, pp. 1507–1515, 2010, doi: 10.1097/JTO.0B013E3181EBA692.

33

8.

Tables

Table 1. Primer sequence and conditions used for the real-time RT-PCR analysis

34

Table 2. Relationship between MAFB+ cells density and the Clinicopathological

features in Nodal involvement-negative (n = 60) and nodal involvement-positive (n

= 60) groups of patients with non-metastatic lung adenocarcinoma.

Nodal

involvement

(N-)

(n = 60)

Nodal

involvement

(N+)

(n = 60)

40

34

20

26

Male

27

29

Female

33

31

Never

23

22

Former or current

37

38

I (n = 57)

57

II+III (n = 63)

60

Low

24

Mid+High

Cancer Recurrence

36

54

Positive

13

42

Negative

47

18

Ly(–)

52

19

Ly(+)

41

V(–)

42

12

V(+)

18

48

PL(–)

43

24

PL(+)

17

36

Variables

P value of

Fisher's exact test

Age (yr.)

<70

≥70

Gender

0.3479

0.8549

Smoking history

Clinical Stage

<0.0001

MAFB positive cells density

0.0003

<0.0001

Lymphatic permeation

<0.0001

Vessel invasion

<0.0001

Pleural infiltration

0.0009

The correlations were evaluated by Fisher’s exact test, *p < 0.05, **p < 0.001

35

Table 3. Correlation between MAFB+ cell density and the clinicopathological factors

in non-metastatic lung adenocarcinoma.

Variables

Low-MAFB+ (≤0.005)

Mid-MAFB+ (0.006–0.016)

No of Case n = 30 (25%)

No of Case n = 59 (49%)

<70

≥70

20 (67%)

10 (33%)

Male

Female

15 (50%)

15 (50%)

Never

Former or current

12 (40%)

18 (60%)

I (n = 57)

II + III (n = 63)

24 (42%) ***

6 (10%) ***

Negative

Positive

22 (73%) *

8 (27%) *

Negative (N−)

Positive (N+)

24 (80%) ***

6 (20%) ***

Ly(–)

Ly(+)

26 (87%) ***

4 (13%) ***

V(–)

V(+)

23 (77%) ***

7 (23%) ***

PL(–)

PL(+)

23 (77%) *

7 (23%) *

Age (yr)

39 (66%)

20 (34%)

Gender

21 (36%) *

38 (64%) *

Smoking history

25 (42%)

34 (58%)

Clinical Stage

30 (53%)

29 (46%)

Cancer Recurrence

33 (56%)

26 (44%)

Nodal involvement

32 (54%)

27 (46%)

Lymphatic permeation

34 (58%)

25 (42%)

Vessel invasion

26 (44%)

33 (56%)

Pleural infiltration

31 (53%)

28 (47%)

High-MAFB+ (≥0.017)

P value of

Fisher’s

No of Case n = 31 (26%)

exact test

15 (48%)

16 (52%)

0.2249

20 (65%) *

11 (35%) *

0.0302

8 (26%)

23 (74%)

0.3046

3 (5%) ***

28 (44%) ***

<0.001

10 (32%) *

21 (68%) *

0.006

4 (13%) ***

27 (87%) ***

<0.0001

12 (39%) **

19 (61%) **

<0.001

5 (16%) ***

26 (84%) ***

<0.0001

13 (42%)

18 (58%)

0.019

According to density of cells expressing MAFB, 120 lung adenocarcinoma patients

with stages I, II, and III were grouped into low-MAFB+, mid-MAFB+, and highMAFB+ cell density groups. Correlation between MAFB expression and clinical

factors among groups was recorded and statistically analyzed using Fisher’s exact

test, * p < 0.05, ** p < 0.001, *** p < 0.0001.

36

Table 4. Univariate analysis of disease-free survival and overall survival in nonmetastatic lung adenocarcinoma stages.

Univariate Analysis

Disease-Free Survival

Hr (95% Ci)

p Value

MAFB (low versus

mid)

2.998 (0.9882–

0.0828

12.95)

MAFB (low versus

high)

7.423 (2.393–

0.0018

32.44)

Gender (male versus 1.856 (0.9236–

0.0861

female)

3.847)

Smoking (Yes versus

No)

3.115 (1.369–

0.0122

8.376)

Age (<70 versus ≥70)

1.010 (0.9697–

0.6397

1.058)

Pstage (I versus II + III)

7.500 (3.194–

<0.0001

20.72)

Nodal involvement

(Yes versus No)

6.497 (2.880–

<0.0001

16.71)

Lymphatic invasion

(Yes versus No)

3.072 (1.522–

6.398)

Vessel invasion (Yes

versus No)

5.444 (2.377–

0.0002

14.71)

0.002

Pleural infiltration (Yes 2.740 (1.350–

0.0062

versus No)

5.803)

Multivariate Analysis

Disease-Free

Overall Survival

Overall Survival

Survival

Hr (95% Ci) p Value Hr (95% Ci) p Value Hr (95% Ci) p Value

3.039

1.665

1.966 (0.5985–

(1.001–

0.079

(0.5008– 0.4468

0.3086

8.859)

13.13)

7.565)

8.105

1.773

2.001 (0.5587–

(2.620–

0.0011 (0.4873– 0.4230

0.3263

9.646)

35.36)

8.669)

1.826

(0.9081–

0.095

3.790)

0.3208

3.106

3.117

2.989 (1.231–

0.0123

(1290–

0.0182

0.0235

(1.368–

8.437)

8.724)

8.390)

1.013

(0.9715–

0.5578

1.062)

8.464

(3.614–

<0.0001

23.24)

7.723

4.382

5.304 (1.845–

(3.411–

<0.0001 (1.555– 0.0078

0.0032

17.12)

19.85)

13.88)

3.294

1.049

1.094 (0.4918–

(1.626–

0.0011 (0.4812– 0.9064

0.8285

2.522)

6.887)

2.384)

4.875

1.843

1.370 (0.4730–

(2.136–

0.0005 (0.6468– 0.2753

0.5786

4.458)

13.14)

5.939)

2.644

1.228

1.216 (0.5498–

(1.306–

0.008

(0.5665– 0.6108

0.6363

2.805)

5.585)

2.793)

Statistically significant differences between groups were determined using Cox

proportional hazard model (p < 0.05). HR, hazard ratio; CI, confidence interval.

37

1.

Figures

Figure 1. Classification of Lung cancers.

Created with BioRender.com

Lung cancers are classified into small cell and non-small cell types, with the latter

group including adenocarcinoma, squamous cell carcinoma and large cell

undifferentiated carcinoma.

38

Figure 2. Generating Mafb-GFP expressing mice.

Created with BioRender.com

Homologous recombination strategy for GFP reporter gene knock-in to the Mafb

locus (A) Mafb targeting vector construct (B) heterozygous (+/−Neo) mice were

crossed to Ayu1-Cre mice to remove the Neo cassette.

39

Figure 3. Morphometrical quantification of MAFB-positive macrophages in

human lung cancer.

100 μm

100 μm

100 μm

100 μm

100 μm

100 μm

40

Immunohistochemical analysis of MAFB expression in lung adenocarcinoma

showing metastasis potential. The left panel shows (A) Lung adenocarcinoma

samples with negative metastasis, (B) the calculation of total tissue area in yellow

color, and (C) the number of MAFB positive area in red color. The right panel shows

(D) Lung adenocarcinomas samples with positive metastasis, (E) the calculation of

total tissue area in yellow color, and (F) the number of MAFB positive area in red

color. Scale bar 100 μm.

41

Figure 4. Stages of Lung cancers according to TNM staging system.

There are 4 stages of Lung cancer according to TNM staging (which accounts for T;

primary tumor size, N; nodal involvement, and M; metastasis).

42

Figure 5. Mafbgfp/+ in bright or dark field, and Immunofluorescence staining.

(A) Whole-mount observation of LLC tumor harvested from both WT and Mafbgfp/+

in bright or dark field 2 weeks after s/c injection and (B) immunohistochemical

analysis of LLC tumors using anti-F4/80 and anti-GFP antibodies to check merging

expression of Mafbgfp/+ within F4/80+ cells.

43

Figure 6. Clustering strategy of myeloid series.

(A) 0-33 clusters were analyzed (B) myeloid series (Cluster 4, 5, 6, 25, 30 and 33)

were extracted by using myeloid makers, LYZ, MARCO, CD68, FCGR3A.

44

Figure 7. Single-cell RNA sequencing (scRNA-seq) analysis obtained from 44

patients with treatment-naive lung adenocarcinoma.

45

Single-cell RNA raw data included normal lung tissue (n = 11), tumor tissue (stage

I and III, n = 7), and advanced tumor tissue (stage IV, n = 4). Raw data were

downloaded and processed using sctransform function in Seurat (v3). (A) Identified

17 clusters of the myeloid population. (B) monocytes (Mo), alveolar macrophages

(AM), macrophages lineage (ML), and dendritic cells (DC) cluster distribution in

normal lung tissues, tumors, and advanced tumors. (C,D) CD68 expression pattern

in normal lung tissues, tumor, and advanced tumor. (E,F) CD204 expression pattern

in normal lung tissues, tumor, and advanced tumor. (G,H) MAFB expression pattern

in normal lung tissues, tumor, and advanced tumor. (I) Heatmap analysis of the

expression of MAFB, CD68, and CD204 in AM. (J) Heatmap analysis of the

expression of MAFB, CD68, and CD204 in monocytes. (K) Heatmap analysis of the

expression of MAFB, CD68, and CD204 in macrophage lineage.

46

Figure 8. Analysis of myeloid cluster.

(A) A heatmap of marker genes Expression for Alveolar macrophage, Macrophage

lineage and Monocyte. (B) UMAP of the macrophage marker CCR2 expression in

normal lung, tumor, and advanced Tumor. (C) A heatmap of other TAM markers,

CD206, CD163 pattern of expression.

47

Figure 9. Grouping non-metastatic lung adenocarcinoma tissue according to

MAFB+ cells density.

50 μm

48

50 μm

(A) Representative data of immunohistochemical analysis of human lung

adenocarcinomas with anti-human MAFB. (B) MAFB-positive area relative to

tissue area (MAFB/tissue area) was morphometrically quantified. Tissue samples

were grouped into top 25% (high-MAFB+ group, MAFB expression area/tissue area

= 0–0.005 (n = 30)), 25–50% (mid-MAFB+ group, MAFB expression area/tissue

area = 0.006–0.016 (n = 59)), and bottom 25% (low-MAFB+ group, MAFB

expression area/tissue area = 0.017–0.121 (n = 31)). (C) MAFB expression in three

groups was tested for correlation to tumor sizes. Data are presented as means ± SEM;

data is considered significant at * p < 0.05, ** p< 0.01.

49

Figure 10. OS and DFS of low-, mid-, and high- in MAFB+ cells Kaplan–Meier

analysis.

(A) overall survival and (B) disease-free survival of the three groups: low-MAFB+,

mid-MAFB+, and high-MAFB+. Difference in survival was compared using log-rank

test. Pearson correlation analysis was performed between MAFB expression and (C)

survival time (R score: −0.366, p = 0.000043) and (D) disease-free survival (R score:

−0.378, p = 0.000023). Data are presented as means ± SEM; data is considered

significant at * p < 0.05; ** p < 0.01.

50

Figure 11. Kaplan–Meier analysis for OS and DFS of patients with or without

nodal involvement.

(A) Overall survival of patients with or without nodal involvement. (B) Disease free

survival with or without nodal involvement,**p<0.001.

51

Figure 12. Smoking Index and tumor diameter correlation.

Smoking Index and tumor diameter were not corelated with MAFB expression

Pearson Correlation analysis was performed between MAFB expression and

Smoking index (R score: -0.043, p = 0.6)

52

Figure 13. Overall survival (OS) and Disease-free survival (DFS) of patients of

all, male, and female smokers and non-smokers.

(A) Overall survival (OS) and Disease-free survival (DFS) of patients of smokers

and non-smokers.

53

(B) OS and DFS of female patients of smokers and non-smokers. (C) OS and DFS

of male patients of smokers and non-smokers. data is considered significant at * p <

0.05; ** p < 0.01.

54

Figure 14. OS and DFS analysis in smokers and non-smoker patients

Kaplan–Meier analysis of (A) the overall survival and disease-free survival of the

low-MAFB+, mid-MAFB+, and high-MAFB+ in the total smoking and non-smoking

patients; (B) the overall survival and disease-free survival of the low-MAFB+, midMAFB+, and high-MAFB+ in female smoker and non-smoker groups; and

55

(C) the overall survival and disease-free survival of the low-MAFB+, mid-MAFB+,

and high-MAFB+ in male smoker and non-smoker groups. Difference in survival

was compared using log-rank test. *, p < 0.05; **, p < 0.01.

56

Graphical abstract

Created with BioRender.com

57

...

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