Abstract
Background
MLH1 promoter methylation analysis is recommended in screening for Lynch syndrome (LS) in patients with MLH1-deficient colorectal cancer (CRC). The study aims to identify specific methylation regions in the MLH1 promoter and to evaluate the clinicopathologic characteristics of and prognosis for patients with MLH1 methylation.
Methods
A total of 580 CRC cases were included. The DNA mismatch repair (MMR) protein expression was assessed by using immunohistochemistry (IHC). The methylation status of the Regions A, B, C, D, and E in the MLH1 promoter was tested by using bisulfite sequencing PCR. The specificities of the five regions were calculated. Associations between MLH1 methylation and clinicopathologic characteristics were evaluated. Kaplan–Meier analyses for overall survival (OS) were carried out.
Results
In 580 CRC cases, the specificities of the methylation test in Regions D and E were both 97.8%. In the MLH1-deficient CRCs, the frequencies of MLH1 methylation and BRAFV600E mutation were 52.6% and 14.6%, respectively; BRAFV600E mutation occurred in 27.7% of patients with MLH1-methylated CRC. In the MMR-deficient patients, compared with MLH1 unmethylation, MLH1 methylation was more common in patients who were aged ≥50 years, female, had no family history of LS-related tumors, and had tumors located at the right colon. In the MMR-deficient patients, the MLH1-methylated cases had lower OS rates than the unmethylated cases with a family history of LS-related tumors (P = 0.047).
Conclusions
Regions D and E in the MLH1 promoter are recommended for determining the MLH1 methylation status in screening for LS in MLH1-deficient CRC. In MMR-deficient patients, the MLH1-methylated cases had a worse OS than the unmethylated cases with a family history of LS-related cancer.
Keywords: CRC, MLH1 deficiency, MLH1 promoter methylation, overall survival
Introduction
Colorectal cancer (CRC) is the third most frequently diagnosed cancer in the world [1] and the second in China [2]. A universal recommendation is that all newly diagnosed patients with CRC should be tested for DNA mismatch repair (MMR) or microsatellite instability (MSI) to identify individuals with Lynch syndrome (LS) and to guide clinical therapy [3]. MMR deficiency (dMMR) occurs in ∼10%–15% of all CRCs and 3% of these are associated with LS—an autosomal dominant disorder caused by germline mutations in MMR genes (such as MLH1, MSH2, MSH6, or PMS2); the other 12% are sporadic CRC, caused by hypermethylation of the MLH1 promoter [4, 5]. It is recommended that abnormal MLH1 immunohistochemistry (IHC) in tumor tissues should be followed by testing for MLH1 promoter methylation or BRAFV600E mutation [3].
MLH1 promoter methylation has been widely studied, but the CpG sites in the promoter are detected differently. Deng et al. [6] reported in 1999 that methylation of CpG sites in a small region from −269 to −199 before the start codon of the MLH1 gene (Deng Region C, from −248 to −178 relative to the transcription start site in their study) was most associated with the loss of MLH1 expression by using NaHSO3 treatment-sequencing, but it was investigated in CRC cell lines. Miyakura et al. [7] reported in 2001 that the methylation of CpG sites in the upstream range (from −755 to −574) is an early event in the carcinogenesis of MSI-H tumors and may arise in normal tissues by using single-strand conformation polymorphism analysis. These pieces of research showed that the upstream range of the MLH1 promoter is not correlated with the lack of MLH1 expression. Then, Deng et al. [8] reported in 2002 that MLH1 methylation correlates with MLH1 expression in a region-specific manner in CRC when using the NaHSO3-digestion method (or the combined bisulfite restriction analysis, COBRA) by using restriction enzyme BstUI that recognizes two consecutive CpG sites (CGCG) from −252 to −249 within this proximal region. However, only nine patients with deficient MLH1 CRC were included. Via new technical advances, a commercial MLH1 methylation assay kit was widely used [9–13] by using methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) based on the use of probes that contain one or two digestion sites specific for the methylation-sensitive HhaI enzyme (that recognizes GCGC sites) (http://www.mrc-holland.com). The kit determines MLH1 methylation status according to the GCGC sites in the Deng Regions C and D (−251 to −248, −245 to −242, and −8 to −5 relative to the start codon). However, the methylation-specific restriction enzyme recognizes limited CpG sites. Although most studies tested the MLH1 methylation in the Deng Region C, some recent studies still used various CpG sites and methods for MLH1 methylation detection [14].
In this study, we detected MLH1 promoter methylation in a large sample of 580 patients with CRC using bisulfite sequencing PCR (BSP). We analysed the specific CpG regions that are highly associated with MLH1 deficiency in the MLH1 promoter. We also evaluated the associations between MLH1 methylation and clinicopathological characteristics, and analysed the prognosis for patients with MLH1 promoter methylation.
Materials and methods
Patients
In the study, the patients were included in a stepwise way and the screening process was as shown in Figure 1. A total of 580 patients with CRC diagnosed at the Sixth Affiliated Hospital, Sun Yat-sen University (Guangzhou, Guangdong, China) from March 2013 to October 2022 were included. Due to the low prevalence of dMMR in Chinese patients with CRC, especially for patients with MLH1/PMS2 deficiency [5, 15], the cohort was selected non-randomly. To obtain abundant representative cases for investigating the methylation status of MLH1, dMMR cases were intensively collected according to the IHC results. All the tissue samples in this study were operation specimens. This study was approved by the Ethics Committee of the Sixth Affiliated Hospital, Sun Yat-sen University (approval number: L2017ZSLYEC-003). All patients underwent an informed consent process approved by the Hospital Institutional Review Board.
Colorectal tumor specimens were fixed in formalin, embedded in paraffin after surgery, and confirmed histologically. The clinicopathologic features of these patients were collected from their medical records. A total of 541 patients had available follow-up records, and the follow-up started on the day of surgery and ended on 29 December 2022. The median follow-up time was 29.2 months.
DNA extraction and bisulfite conversion
Genomic DNA was extracted from formalin-fixed paraffin-embedded (FFPE) samples using a Hipure DNA extraction kit (Cat No. IVD 3126; Magen; Guangzhou, Guangdong, China). Tumor DNA was treated with sodium bisulfite by using the EZ DNA Methylation Kit (Cat No. D5001; ZYMO RESEARCH; Orange County, CA, USA). In brief, 1 μg of DNA was input through the conversion and purification procedure, and then eluted in a 10-μL M-Elution buffer. Meanwhile, CpGenomeTM Human Non-Methylated DNA Standard (Cat No. # S8001U; Millipore; Billerica, MA, USA) and CpGenomeTM Human Methylated DNA Standard (Cat No. # S8001M; Millipore) were used as controls.
MLH1 promoter methylation sequencing
MLH1 promoter methylation sequencing was detected using five primer sets that amplified five overlapping regions from −755 to +86 relative to the start codon. The MLH1 gene promoter was divided into Regions A, B, C, D, and E (Figure 2), according to the article by Miyakura et al. [7]. The prior PCR amplification was carried out in 20 μL volume containing 30–50 ng of bisulfite-modified DNA and 8 pmol of each primer (0.4 μM) using an ABI Veriti PCR system, with the following program: initial denaturation at 95°C for 12 min; 40 cycles of denaturation at 95°C for 30 s, annealing at 60°C for 30 s, extension at 72°C for 30 s; final extension at 72°C for 10 min. Then the PCR products were cleaned up and sequenced with a single primer (forward or reverse primer) by using the BigDye Terminator v3.1 Sequencing Standard Kit (Cat No. 4337455; Thermo Fisher Scientific; Waltham, MA, USA) with an ABI Prism 3500Dx Genetic Analyzer (Applied Biosystems; Foster City, CA, USA). All the informational CpG sites in each methylated region were defined as full methylation, partial methylation if there was more than one CpG site in each region methylated, and unmethylation if none of the CpG sites in each region methylated was defined.
MMR proteins detection
The expression of MMR proteins was detected in all tumor samples by using IHC with a Ventana BenchMark XT autostainer. Before loading slides onto the autostainer, 4-μm tissue sections from FFPE tissue blocks were dried at 65°C for 15 min in a drying oven. Then, the slide samples were immunohistochemically stained with monoclonal antibodies to MMR proteins, including MLH1 (Cat No. MAB-0789; MXB; Fuzhou, Fujian, China), MSH2 (Cat No. IR376, LBP, Guangzhou, Guangdong, China), MSH6 (Cat No. ZA-0541; ZSGB-BIO; Zhongshan, Guangdong, China), and PMS2 (Cat No. ZA-0542; ZSGB-BIO), by using the autostainer. IHC was assessed following the College of American Pathologists (CAP) Colon and Rectum Biomarker Reporting Template [29]. Any positive reaction in tumor cell nuclei would be considered an intact expression. Intact expression of all four MMR proteins indicates MMR proficiency (pMMR) and any loss means dMMR. Adjacent normal tissue and lymphocytes of each sample served as an internal control.
BRAFV600E testing
Somatic BRAFV600E testing was conducted via Sanger sequencing or an allelic discrimination test using an allelic-specific probe. The methods have been described in our previous study [18].
Statistics analysis
The Spearman chi-square test, Kruskal–Wallis test, and Fisher's exact test were applied to analyse the association of MLH1 methylation status with clinicopathologic features. The analyses were initially evaluated using continuous variables and categories data analysis, then further accessed using logistic regression models by estimating the odds ratios (ORs) and 95% confidence intervals (CIs). All these statistical analyses were performed using SPSS 22.0 packages (SPSS; Chicago, IL, USA). Kaplan–Meier survival curves for the OS of 541 patients with available follow-up records were performed using GraphPad Prism 8 (Graph Pad Software Inc.; San Diego, CA, USA) via a log-rank test. A P-value of <0.05 was considered statistically significant.
Results
Patients
This study involved 580 patients with CRC who were selected by using a stepwise method. The clinicopathologic characteristics of this study population were summarized (Table 1). The population's average age was 54.5 years (19–92 years), with a male-to-female ratio of 1.45 to 1, and 7.2% of the cases had a family history of LS-related tumors including CRC, gastric cancer, breast cancer, endometrial cancer, and cholangiocarcinoma. Among all the tumors, 50.5% were located at the right colon, 55.2% were moderately differentiated adenocarcinoma, and 48.5% were diagnosed at the tumor node metastases (TNM) II stage. The cohort contained 172 patients with pMMR and 408 patients with dMMR. Of the patients with dMMR, 259 were MLH1- and PMS2-deficient, 9 were MLH-deficient only, 42 were PMS2-deficient only, and 98 were MSH2- and/or MSH6-deficient. BRAFV600E mutation was found in 8.3% of the population.
Table 1.
Characteristic | All patients (n = 580) |
---|---|
Age, years | |
Mean (SD) | 54.5 (14.8) |
Median (range) | 56 (17 − 92) |
Age, years, n (%) | |
<50 | 207 (35.7) |
50 − 75 | 320 (55.2) |
>75 | 53 (9.1) |
Sex, n (%) | |
Female | 237 (40.9) |
Male | 343 (59.1) |
Family history, n (%) | |
Without | 538 (92.8) |
With | 42 (7.2) |
Tumor locationa, n (%) | |
Rectum | 137 (23.6) |
Left colon | 150 (25.9) |
Right colon | 293 (50.5) |
Differentiation of tubular adenocarcinoma, n (%) | |
Poor | 99 (17.1) |
Moderate | 320 (55.2) |
Well | 53 (9.1) |
Non-tubular adenocarcinoma | 108 (18.6) |
TNM stage, n (%) | |
0 | 1 (0.2) |
I | 57 (9.9) |
II | 280 (48.5) |
III | 182(31.5) |
IV | 57 (9.9) |
Absent | 3 |
BRAFV600E status, n (%) | |
Wild-type | 532 (91.7) |
Mutant | 48 (8.3) |
MMR IHC staining, n (%) | |
pMMR | 172 (29.7) |
dMMR | 408 (70.3) |
MLH1 proficiency | 140 (24.1) |
MSH2 and/or MSH6 deficiency | 98 |
Only PMS2 deficiency | 42 |
MLH1 deficiency | 268 (46.2) |
MLH1 and PMS2 deficiency | 259 |
Only MLH1 deficiency | 9 |
SD = standard deviation, TNM = tumor node metastases, MMR = mismatch repair protein, IHC = immunohistochemistry, pMMR = mismatch repair proficiency, dMMR = mismatch repair deficiency, CRC = colorectal cancer.
Family history = family history of Lynch syndrome-related tumors including colorectal cancer, gastric cancer, breast cancer, endometrial cancer, and cholangiocarcinoma.
Rectum: the terminal intestine 12 cm upwards from the anal verge. Left colon: descending colon, sigmoid colon, and rectosigmoid. Right colon: cecum, ascending colon, and transverse colon.
The methylation status in Regions A, B, C, D, and E of the MLH1 promoter
We tested five overlapping regions (A, B, C, D, and E) in the MLH1 promoter. The landscape of the CpG sites in the MLH1 promoter is shown in Figure 2. The CpG sites were labeled relative to the start codon. The analytical process is shown in Figure 1.
Firstly, 38 samples, including 32 samples with MLH1 proficiency and 6 samples with MLH1 deficiency, were tested for the methylation status in five regions of the MLH1 promoter. The results showed that seven samples with MLH1 proficiency were fully methylated in Region A and fully or partially methylated in Region B, of which one sample was partially methylated in Region C (Table 2, Supplementary Table S1, and Supplementary Figure S1). Two experienced pathologists reassessed the samples and confirmed them as intact MLH1 expression (data not shown). The specificities of Regions A, B, C, D, and E in MLH1 methylation were 78.1%, 78.1%, 96.9%, 100%, and 100%, respectively. Hence, the false positive rate of Regions A and B would be 21.9%. It indicated that the methylation in Regions A and B of the MLH1 promoter did not directly result in MLH1 deficiency. Then, we analysed the methylation status of Regions C, D, and E in 213 samples, including the above 38 samples. The results showed seven samples with MLH1 proficiency were methylated at the first two CpG sites in Region C, including one that was methylated in Regions A and B (Table 2 and Supplementary Table 1). In the same way, these samples were reassessed and confirmed as intact MLH1 expression (data not shown). The specificity of Regions C, D, and E in MLH1 methylation were 94.2%, 100%, and 100%, respectively (Table 2). The methylation status in Regions D and E was consistently associated with MLH1 expression.
Table 2.
Region | Methylation status | Analysis of Regions A/B/C/D/E (n = 38) |
Analysis of Regions C/D/E (n = 213)a |
Analysis of Regions D/E (n = 580)a |
|||
---|---|---|---|---|---|---|---|
MLH1 deficiency | MLH1 proficiency | MLH1 deficiency | MLH1 proficiency | MLH1 deficiency | MLH1 proficiency | ||
n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
(95% CI) | (95% CI) | (95% CI) | |||||
A | Positive | 5 (83.3) | 7 (21.9) | – | – | – | – |
Negative | 1 (16.7) | 25 (78.1) (60.96 − 89.27) | – | – | – | – | |
B | Positive | 5 (83.3) | 7 (21.9) | – | – | – | – |
Negative | 1 (16.7) | 25 (78.1) (60.96 − 89.27) | – | – | – | – | |
C | Positive | 5 (83.3) | 1 (3.1) | 49 (53.3) | 7 (5.8) | – | – |
Negative | 1 (16.7) | 31 (96.9) (82.89 − 99.99) | 43 (46.7) | 114 (94.2) (88.34–97.37) | – | – | |
D | Positive | 5 (83.3) | 0 | 49 (53.3) | 0 | 141 (52.6) | 7 (2.2)b |
Negative | 1 (16.7) | 32 (100) (87.27 − 100.00) | 43 (46.7) | 121 (100) (96.30–100.00) | 127 (47.4) | 305 (97.8) (95.35–99.00) | |
E | Positive | 5 (83.3) | 0 | 49 (53.3) | 0 | 141 (52.6) | 7 (2.2)b |
Negative | 1 (16.7) | 32 (100) (87.27 − 100.00) | 43 (46.7) | 121 (100) (96.30–100.00) | 127 (47.4) | 305 (97.8) (95.35–99.00) |
The specificities of Regions A, B, C, D, and E in 38 samples were 78.1%, 78.1%, 96.9%, 100%, and 100%.
The specificities of Regions C, D, and E in 213 samples were 94.2%, 100%, and 100%.
The specificities of Regions D and E in 580 samples were 97.8%.
CI = confidence interval.
The cohort contained the cases included in the previous section.
Seven cases with MLH1 proficiency were re-reviewed and showed unexpected MLH1 staining.
Finally, the sample size was expanded to a total of 580 cases and the results confirmed that the methylation status of Regions D and E in the MLH1 promoter was consistent. Here, seven specimens diagnosed as MLH1 proficiency showed MLH1 methylation, which displayed PMS2 deficiency. Re-review of MLH1 IHC showed unexpected IHC staining patterns, presenting as heterogeneous status or weak staining in tumor cells (Figure 3). These unexpected MLH1 IHC staining samples were diagnosed as MLH1 proficiency, which led to a specificity of 97.8% in both Regions D and E of the MLH1 methylation. The methylation status of the MLH1 promoter was determined according to the result in Regions D and E of the MLH1 promoter in the study.
The associations between clinicopathologic characteristics and MLH1 methylation status
The associations between clinicopathologic characteristics and MLH1 methylation status were analysed in 408 dMMR patients and 268 MLH1-deficient patients (Tables 3 and 4).
Table 3.
Characteristic | dMMR (n = 408) |
P | MLH1 deficiency (n = 268) |
P | ||
---|---|---|---|---|---|---|
Unmethylated | Methylated | Unmethylated | Methylated | |||
(n = 260) | (n = 148) | (n = 127) | (n = 141) | |||
Age, years | <0.001b | <0.001b | ||||
Mean (SD) | 49.6 (13.0) | 61.1 (16.7) | 49.7 (12.1) | 60.9 (16.4) | ||
Median (range) | 50 (19 − 82) | 63 (17 − 92) | 50 (23 − 82) | 63 (17 − 92) | ||
Age, years, n (%) | <0.001 | <0.001c | ||||
<50 | 125 (48.1) | 34 (23.0) | 61 (48.0) | 33 (23.4) | ||
50 − 75 | 128 (49.2) | 81 (54.7) | 63 (49.6) | 78 (55.3) | ||
>75 | 7 (2.7) | 33 (22.3) | 3 (2.4) | 30 (21.3) | ||
Sex, n (%) | <0.001 | <0.001 | ||||
Female | 89 (34.2) | 82 (55.4) | 42 (33.1) | 77 (54.6) | ||
Male | 171 (65.8) | 66 (44.6) | 85 (66.9) | 64 (45.4) | ||
Family history, n (%) | <0.001c | |||||
Without | 221 (85.0) | 147 (99.3) | <0.001c | 110 (86.6) | 140 (99.3) | |
With | 39 (15.0) | 1 (0.7) | 17 (13.4) | 1 (0.7) | ||
Tumor locationa, n (%) | 0.003 | 0.036 | ||||
Rectum | 38 (14.6) | 13 (8.8) | 15 (11.8) | 12 (8.5) | ||
Left colon | 74 (28.5) | 26 (17.6) | 38 (29.9) | 26 (18.4) | ||
Right colon | 148 (56.9) | 109 (73.6) | 74 (58.3) | 103 (73.0) | ||
Differentiation of tubular adenocarcinoma, n (%) | 0.223 | 0.099 | ||||
Poor | 45 (17.3) | 38 (25.7) | 21 (16.5) | 37 (26.2) | ||
Moderate | 135 (51.9) | 70 (47.3) | 74 (58.3) | 66 (46.8) | ||
Well | 26 (10.0) | 11 (7.4) | 13 (10.2) | 10 (7.1) | ||
Non-tubular adenocarcinoma | 54 (20.8) | 29 (19.6) | 19 (15.0) | 28 (19.9) | ||
TNM stage, n (%) | 0.932 | 0.531 | ||||
I | 25 (9.7) | 14 (9.5) | 12 (9.5) | 14 (9.9) | ||
II | 151 (58.3) | 82 (55.4) | 80 (63.5) | 79 (56.0) | ||
III | 68 (26.3) | 42 (28.4) | 27 (21.4) | 41 (29.1) | ||
IV | 15 (5.8) | 10 (6.8) | 7 (5.6) | 7 (5.0) | ||
Absent | 1 | 1 | ||||
BRAFV600E status, n (%) | / | / | ||||
Wild-type | 260 (100) | 106 (71.6) | 127 (100) | 102 (72.3) | ||
Mutant | 0 | 42 (28.4) | 0 | 39 (27.7) |
SD = standard deviation, TNM = tumor node metastases, dMMR = mismatch repair deficiency, CRC = colorectal cancer.
Family history = family history of Lynch syndrome-related tumors including colorectal cancer, gastric cancer, breast cancer, endometrial cancer, and cholangiocarcinoma.
Rectum: the terminal intestine 12 cm upwards from the anal verge. Left colon: descending colon, sigmoid colon, and rectosigmoid. Right colon: cecum, ascending colon, and transverse colon.
Spearman chi-square test.
Kruskal–Wallis test.
Fisher's exact test.
Table 4.
Characteristic | MLH1 methylation in dMMR patients (n = 408) |
MLH1 methylation in MLH1 deficient patients (n = 268) |
||||||
---|---|---|---|---|---|---|---|---|
Univariate analysis |
Multivariate analysis |
Univariate analysis |
Multivariate analysis |
|||||
OR (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | OR (95% CI) | P | |
Age ≥50 years | 3.11 (1.97 − 4.89) | <0.001 | 2.59 (1.60 − 4.18) | <0.001 | 3.03 (1.79 − 5.10) | <0.001 | 2.83 (1.64 − 4.90) | <0.001 |
(vs <50 years) | ||||||||
Female | 2.39 (1.58 − 3.61) | <0.001 | 2.14 (1.38 − 3.33) | 0.001 | 2.44 (1.48 − 4.00) | <0.001 | 2.22 (1.31 − 3.76) | 0.003 |
(vs male) | ||||||||
Without family history | 25.94 (3.53 − 190.89) | 0.001 | 19.28 (2.59 − 143.70) | 0.004 | 21.64 (2.84 − 165.10) | 0.003 | 17.39 (2.22 − 136.23) | 0.007 |
(vs others) | ||||||||
Right colon | 2.12 (1.36 − 3.29) | 0.001 | 1.68 (1.05 − 2.70) | 0.031 | 1.94 (1.16 − 3.24) | 0.011 | ||
(vs others) |
dMMR = mismatch repair deficiency, OR = odds ratio, CI = confidence interval.
Family history = family history of Lynch syndrome-related tumors including colorectal cancer, gastric cancer, breast cancer, endometrial cancer, and cholangiocarcinoma.
In the cohort of 408 dMMR patients, compared with MLH1 unmethylation, MLH1 methylation was more likely to be seen in patients ≥50 years old (77.0% vs 51.9% for patients <50 years old; multivariate OR, 2.59; 95% CI, 1.60–4.18; P < 0.001), females (55.4% vs 34.2% males; multivariate OR, 2.14; 95% CI, 1.38–3.33; P = 0.001), patients without a family history (99.3% vs 85.0% for patients with a family history; multivariate OR, 19.28; 95% CI, 2.59–143.70; P = 0.004), and tumors located at the right colon (73.6% vs 56.9% for tumors located at the rectum and the left colon; multivariate OR, 1.68; 95% CI, 1.05–2.70; P = 0.031). In patients with dMMR, the overall BRAFV600E mutations occurred in tumors with MLH1 methylation.
In the patients with MLH1 deficiency, the frequency of MLH1 methylation was 52.6% (141/268). MLH1 methylation occurred more frequently in patients aged ≥50 years (76.6% vs 52.0% for patients aged <50 years; multivariate OR, 2.83; 95% CI, 1.64–4.90; P < 0.001), females (54.6% vs 33.1% males; multivariate OR, 2.22; 95% CI, 1.31–3.76; P = 0.003), and patients without family history (99.3% vs 86.6% for patients with a family history; multivariate OR, 17.39; 95% CI, 2.22–136.23; P < 0.001) compared with MLH1 unmethylation. In the group of MLH1-deficient CRC, the patients with BRAFV600E mutation were all MLH1-methylated (27.7% vs 0 for MLH1 unmethylated).
Prognostic effect of MLH1 methylation in CRC patients
In the study, 541 patients got complete follow-up information. During the follow-up, 53 patients died, of whom 42 died from CRC or related diseases. Kaplan–Meier survival analysis for OS was performed based on MMR and MLH1 methylation status within different subgroups (Figure 4). The results showed that patients with dMMR had higher OS rates than those with pMMR (P < 0.001, Figure 4A). In patients with dMMR, MLH1-methylated patients had lower OS rates than unmethylated cases with a family history of LS-related cancer (P = 0.047, Figure 4D). However, there was little difference between the patients with MLH1 methylation and MLH1 unmethylation, in patients with either MLH1 deficiency or dMMR, with no significance (P = 0.442, Figure 4B; P = 0.153, Figure 4C). Note that there were 17 and 37 patients with a family history of LS-related cancer in the MLH1-unmethylated subgroup in MLH1-deficient patients (Figure 4B) and dMMR patients (Figure 4C), respectively. No patient had family history in the MLH1-methylated subgroup.
Discussion
Based on a large clinical cohort and a wide detection range of the MLH1 promoter, we identified that the CpG sites in Regions D and E of the MLH1 promoter have the highest specificity in the MLH1 methylation test. Regions D and E can be used for MLH1 methylation detection. This study provides a reference for MLH1 promoter methylation detection sites in LS screening. Consistently with the previous research [6, 7], we showed that methylation in the upstream range (Regions A and B) of the MLH1 promoter was not correlated with MLH1 deficiency. In the study, Regions D and E in the MLH1 promoter contained the Deng Region C and Deng Region D and spread to exon 1 of the MLH1. Deng et al. identified a CCAAT box in Region D (Figure 2), which specifically bound transcription factor core binding factor (CBF) [16]; they found that methylation at adjacent CpG sites of the CCAAT box inhibited the binding of CBF to the CCAAT box and resulted in the inhibition of the transcription of MLH1. It was also reported that MLH1 promoter methylation spread from intron 1 of the MLH1 gene to the 5’ region of the MLH1, including Regions D and E, resulting in decreased MLH1 expression [17].
In this study, MLH1 methylation was found in 52.6% (141/268) of MLH1-deficient cases. This percentage is much higher than that in a previous Chinese study (36.7%) [30], but similar to that another study in China (52.7%) [20]. At the same time, BRAFV600E mutation was found in 14.6% (39/268) of MLH1-deficient cases, which was consistent with previous Chinese studies, at 15.4% or 17.2% [19, 20], but higher than in two other Chinese studies (5.5% and 9.9%, respectively) [5, 30]. In this study, BRAFV600E mutation occurred in 27.7% (39/141) of patients with MLH1-methylated CRC. A previous study reviewed 35 studies and found that BRAFV600E mutation occurred in 63.5% (95% CI, 46.98%−78.53%) of CRC patients who exhibited MLH1 methylation or MLH1 loss in Western countries [14]. Guidelines recommend that patients with MLH1 deficiency should be tested for BRAFV600E or MLH1 methylation to rule out LS [3]. The above data showed that the BRAFV600E mutation is a poor surrogate for detecting MLH1 methylation in China because of its low incidence in MLH1-methylated patients. However, it is often used instead for MLH1 methylation testing because it is cheap. Therefore, we suggest that, except for the BRAFV600E test, Chinese patients with MLH1-deficient CRC should have more attention paid to MLH1 methylation testing to rule out LS. Moreover, according to the guidelines, 141 of the 268 cases (52.6%) with MLH1 deficiency would be excluded from germline testing. However, the remainder (47.4%, 127/268) must undergo germline testing to screen for LS. Remarkably, caution should be exercised in excluding cases with strong evidence of germline mutation, despite BRAFV600E mutation or MLH1 methylation, based on the observations of BRAFV600E mutation or MLH1 promoter methylation in germline MLH1 mutation carriers [20, 21, 22]. MLH1 methylation as the “second hit” in the carriers is possible [23]. Further, increasing evidence for the role of constitutional MLH1 methylation in LS has been found [24–27]. It is suggested that CRC patients aged ≤55 years with tumor MLH1 methylation should be tested for constitutional MLH1 methylation before being excluded as a non-LS, although it is rare overall [28].
Another important finding of this study is that the methylation of Regions D and E in the MLH1 promoter was found in unexpected MLH1 staining tumors, such as tumor staining weaker than control or heterogeneous staining in the tumor nuclei. In the present study, the IHC staining was assessed following the CAP Biomarker Reporting Template [29], which points out that any positive reaction in tumor cell nuclei would be considered as intact expression when a positive reaction is seen in internal control cells. However, the cut-off value for what is considered intact MMR staining has yet to be agreed upon [31, 32]. A key measure of MMR staining is that staining in the tumor nuclei must be equal to or stronger than the internal control [33]. In Figure 3, MLH1 IHC staining of these cases was reassessed and showed unexpected IHC staining patterns, presenting tumor staining that was weaker than the control or heterogeneous staining. Such unexpected IHC staining patterns have been noticed in several laboratories, and most of the aberrant staining patterns are thought to be related to technical issues [33–35]. We also assumed that heterogeneous MLH1 methylation status in different tumor cells may contribute to MLH1 heterogeneous staining. Obviously, the unexpected staining pattern being immediately interpreted as an intact expression is not appropriate, so it was suggested to either repeat the stain or choose an additional test such as MSI-PCR [32]. Here, we recommend that CRC patients with MLH1 heterogeneous, weak staining, or other unexpected staining patterns in tumor cells should either have the stain repeated and/or an MLH1 promoter methylation test carried out.
In addition, we found that, in dMMR patients, patients with MLH1 methylation had a worse OS than unmethylated cases with a CRC-related family history, similarly to the previously published study about endometrial cancer [36]. The observations indicated that MLH1-methylated sporadic cases had significantly worse OS than “suspected-LS” cases. The reason why the results show slightly different OS between MLH1-methylated sporadic cases and unmethylated dMMR or MLH1-deficient cases may be due to the considerable amount of censoring data during follow-up.
The limitation of this study is that a few CpG sites could not be identified in our sequencing results because of unidirectional sequences with a forward or a reverse primer in the BSP sequencing, and a few CpG sites are located in primers that were not detected.
Conclusions
In summary, we found that the methylation status in Regions D and E of the MLH1 promoter was consistent and had higher specificity than other regions in the MLH1 methylation test based on a large sample size. Regions D and E can be used for MLH1 methylation detection. MLH1 methylation and BRAFV600E mutation were found in 52.6% and 14.6% of the MLH1-deficient cases, respectively, and all MLH1-deficient cases with BRAFV600E mutation were MLH1-methylated. In dMMR patients, MLH1-methylated patients had a worse OS than unmethylated cases with a CRC-related family history.
Authors' Contributions
X.T. and Y.F. selected samples; acquired, analysed, and interpreted the data; and drafted the manuscript. X.F., W.D., J.H., Y.C., J.Z., Z.C., H.L., L.X., G.W., H.Z., and S.H. collected patients’ information, acquired and analysed the data, and revised the manuscript. X.F. conceived, designed, and supervised the study, and revised and finalized the manuscript. All authors read and approved the final manuscript.
Supplementary Material
Contributor Information
Xiaoli Tan, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Yongzhen Fang, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Xinjuan Fan, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Weihao Deng, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Jinglin Huang, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Yacheng Cai, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Jiaxin Zou, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China; Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Zhiting Chen, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Hanjie Lin, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Liang Xu, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Guannan Wang, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Huanmiao Zhan, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Shuhui Huang, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Xinhui Fu, Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China.
Funding
This work was supported by the National Natural Science Foundation of China [81971999 to X.F.], Science and Technology Achievements Transformation Project of Sun Yat-sen University [88000–18843232 to X.F.], Young Teacher Training Program of Sun Yat-sen University [14YKPY31 to X.F.], China Scholarship Council [201706385049 to X.F.], the program of Guangdong Provincial Clinical Research Center for Digestive Disease [2020B1111170004], and National Key Clinical Discipline.
Conflicts of Interest
The authors declare that there is no conflict of interest in this study.
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