Abstract
Background: Ki67 has been a key role for the treatment options and prognosis evaluation in some kinds of tumors; however, the spatial expression of Ki67 in oral squamous cell carcinoma (OSCC) has not been fully-evaluated. Therefore, in the present study, we aimed to elucidate the prognosis value of Ki67 spatial expression including in different cell types and at different compartments of tumor in OSCC patients. Methods: Immunohistochemical expression of Ki67 in tumor cells (TCs) and fibroblast like cells (FLCs) at center of tumor (CT) and invasive front (IF) was evaluated in 109 OSCC patients. Then correlations of Ki67 expressions with clinicopathological parameters were analyzed by Chi-square test, and survival curves were evaluated by Kaplan–Meier methods. Furthermore, univariate and multivariate analysis were performed to assess the diagnostic values of Ki67 expression by the Cox regression model. Results: Ki67 expression in TCs was much higher than in FLCs both at CT and IF compartments, but Ki67 expression in TCs was simultaneously higher at CT than that at IF (P=0.0004), which was converse to Ki67 expression in FLCs (P<0.0001). Additionally, high Ki67 expression in FLCs at IF was significantly associated with poor tumor differentiation (P=0.003), worse depth of invasion (DOI, P=0.027) and worst pattern of invasion (WPOI, P=0.041), but Ki67 expression in TCs had no correlation with clinical parameters no matter at CT or IF. Moreover, patients with higher Ki67 expression in TCs at CT had significantly increased risk for OS (overall survival; HR:1.935, 95% CI: 1.181–4.823, P=0.0395) and DFS (disease-free survival; HR: 2.974, 95% CI:1.189–5.023, P=0.046). On contrary, higher Ki67 expression in FLCs at IF was correlated with better OS (HR: 0.15, 95% CI: 0.018–0.846, P=0.0396) and DFS (HR: 0.15, 95% CI: 0.018–0.947, P=0.0445). Whereas, Ki67 expression both at TCs in IF and at FLCs in CT had no significant prognostic value for OS and DFS. Furthermore, Cox multivariate analysis revealed that Ki67 expression in FLCs at IF could not be an independent prognostic factor for OSCC patients. Conclusion: These results show that higher Ki67 expression in FLCs at IF indicated better clinical outcomes for OSCC patients.
Keywords: fibroblast like cells, immunohistochemistry, Ki67, OSCC, prognostic marker, tumor cells
Introduction
Oral squamous cell carcinoma (OSCC) ranks the most common cancer of the oral cavity [1], which has different levels of tumor differentiation, and is inclined to metastasize to the lymph nodes [2]. These lead to treatment failures and disappointed 60% 5-year survival rate [3]. Since OSCC development is a complicated process and limited available knowledge on factors promoting oncogenic transformation to malignant cells is known, it is challenging to explore valuable factors involved in its progression [4].
Ki67, also known as Ki67 antigen or MKI67 (marker of proliferation Ki67), has been a well-established marker for predicting the clinical outcomes for patients with several types of cancer [5–8]. Previous data indicated that a tumor expressed higher Ki67 carried a poor prognosis [9–11]. In addition to conventional parameters, Ki67 has been proposed as a key factor in making tumor treatment decision [12].
With the progress of new techniques, researches have revealed the potential roles of tumor heterogeneity underlying the mechanism of tumor relapse and metastasis [13]. It is universally recognized that heterogeneity includes spatial differences between distinctive subpopulation of TCs within any individual tumor at both genetic and epigenetic levels [14]. Moreover, tumor environment components including tumor cells (TCs), fibroblast like cells (FLCs), infiltrating immune cells, extracellular matrix, vascular endothelia cells confer specific subsets of cancer cells and interact with cancerous subpopulations [15]. Regarding OSCC, multiple studies have stated its tumor heterogeneity at molecular, histological, and phenotypic levels [16–18]. For instance, our previous data found that distinct expression patterns of TLR7 in TCs and FLCs predicted different clinical outcomes for OSCC patients [19]. Many studies have shown a close relationship between Ki67 index with tumor size, angio-invasion, and some other biological behavior of malignant tumors [20–23]. However, spatial expression of Ki67 in tumors is under debate [24,25].
In the present study, we focused on Ki67 expression in TCs and stroma FLCs particularly, and at different compartments, center of tumor (CT) and invasive front (IF). Next, we assessed correlations between Ki67 distinct expressions with clinicopathology parameters. Furthermore, the prognostic significance of Ki67 in different group was also determined. Overall, we interpreted the heterogeneity of OSCC from the perspectives of Ki67 by reviewing its distinct expression and clinical studies further in searching for new successful targets for anticancer therapies.
Materials and methods
Patients and tissue specimens
Paraffin-embedded surgical tissues were randomly collected from 109 OSCC patients at Nanjing Stomological Hospital, Medical School, Nanjing University between 2007 and 2014. Diagnosis was confirmed by postoperative pathology and no patients received radiotherapy or chemotherapy before operation. Pregnant and patients diagnosed with other diseases were excluded from the present study. The study was carried out in accordance with the World Medical Association Declaration of Helsinki, and the approval of Ethic Committee was obtained from our hospital and informed consent from patients and their families were gained as well. All patients were followed-up until 31 July 2015.
Reagents and antibodies
Rabbit monoclonal antibody for Ki67 (Cat No. ab15580, diluted ×200) was purchased from Abcam in U.S.A., Envision Detection System Kit used for DAB chromogen was bought from DAKO in Denmark. And xylene, ethanol, and all analytical grade solvents were obtained from Aladdin (Shanghai, China).
Immunohistochemistry
Tissues were formalin fixed and paraffin embedded, then cut into 2 μm sections, and placed on microscope slides for immunohistochemistry. In brief, the sections were successively incubated in xylene, 100% ethanol, 95% ethanol, blocked with 3% H202 for 10 min at room temperature, and washed. Then all slides were incubated with a Ki67 primary antibody at 4°C overnight, followed secondary antibody, and the Envision Detection System kit was used for the DAB chromogen followed by nuclear staining using Hematoxylin.
Immunostaining analysis
Evaluation of immunostaining was performed by two pathologists to the clinical data separately. When different opinion happened, reassessed together to reach a consensus. Cell with brown staining were considered positive under microscope. One hundred and nine patients from 2007 to 2014 were chosen to record Ki67 expression. The patterns of Ki67 expressed TCs and FLCs in OSCC tissues were counted and divided into two separated regions: CT and IF. Three representative fields in each group were picked up at 400× magnification (0.2 mm2/field). The numbers of Ki67 expressed TCs and FLCs were classified by ImageJ (version 1.8) and averaged for each group. The results were presented as average value per field. And optional cut-off values for Ki67 expression in TCs and FLCs at both CT and IF were confirmed according to correlations with patients’ overall survival (OS) and disease-free survival (DFS) analyzed by GraphPad Prism (version 7) [26].
Statistical analysis
The SPSS version 16.0 (SPSS Inc., Chicago, IL, U.S.A.) and Prism statistical software package (version 7.0, GraphPad Software Inc., San Diego, CA, U.S.A.) were used for statistical analyses. The Mann–Whitney test was used to compare the two groups. OS and DFS comparing high expression groups and low expression groups were estimated using Kaplan–Meier curves. Survival time was defined as the interval between the date of surgery and the last date when the patient was known to be disease free or alive (censored). The Cox regression model was used to examine interactions between different prognostic factors in a univariate and multivariate analysis. Differences were considered statistically significant with P<0.05.
Results
Ki67 expression was much higher in TCs than in FLCs
Considering the intratumor heterogeneity of malignancies, we first analyzed the expression of Ki67 in different types of cells, including TCs and non-cancer cells, such as FLCs in stroma from 109 OSCC specimens. IHC results showed Ki67 was higher expressed in TCs than FLCs in Figure 1A. The count of positively staining cells was further confirmed that compared with FLCs, TCs presented higher Ki67 expression with significant difference (Figure 1B, P<0.0001).
Figure 1. Ki67 expression in different cell types.
(A) Immunohistochemical staining showing Ki67 higher expression in TCs than FLCs; (B) Ki67 expression of IHC positive staining analyzed by cell numbers.
Ki67 expression in TCs at CT was higher than IF, while Ki67 expression in FLCs at IF was higher than CT
Tumor heterogeneity contains not only cell type variations but also compartment differences. Next, we divided Ki67 expression in TCs and FLCs into two different compartments including CT and IF (Figure 2A). We found that Ki67 expression in TCs was much higher at CT than that at IF (P=0.0004, Figure 2B). Interestingly, Ki67 expression in FLCs at CT was significantly lower than that at IF (P<0.0001, Figure 2C).
Figure 2. Ki67 expression in TCs and FLCs at CT and IF.
(A) IHC showed Ki67 distinct expression pattern; (B) Ki67 expressed in TCs at CT and IF; (C) Ki67 expressed in FLCs at CT and IF.
Correlations between Ki67 expression in TCs and FLCs at CT and IF with their clinic pathological characteristics
To further evaluate clinical importance of Ki67 spatial expression, we analyzed correlations between Ki67 expression in TCs and FLCs at CT and IF with their clinicopathological characteristics using 109 patients’ tissues. Ki67 expression in TCs as shown in Table 1 had no significant relationships with clinicopathological characteristics neither at CT nor IF. Neither Ki67 expression in FLCs at CT did in Table 2. In addition, Ki67 expression both in CTs and FLCs at CT seemed to be a risk with gender of OSCC patients (Ki67 expression in TCs: χ2 = 1.512; Ki67 expression in FLCs: χ2 = 1.127) without significant relationships. However, higher Ki67 expression in FLCs at IF was significantly associated with lower differentiation (P=0.003), depth of invasion (DOI) (P=0.027), and worst pattern of invasion (WPOI) (P=0.041).
Table 1. Correlations between Ki67 expression in TCs at CT and IF with their clinicopathological characteristics in OSCC patients.
| Variable | Category | Number of cases (%) | TCs | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ki67 expression at CT (cutoff:252.66) | Ki67 expression at IF (cutoff:178) | |||||||||
| Low | High | χ2 | P | Low | High | χ2 | P | |||
| Gender | Male | 51 (46.8) | 28 (52.8) | 23 (41.1) | 1.512 | 0.2190 | 29 (54.7) | 22 (39.3) | 0.402 | 0.53 |
| Female | 58 (53.2) | 25 (47.2) | 33 (58.9) | 24 (45.3) | 34 (60.7) | |||||
| Age (years) | <60 | 53 (48.6) | 26 (49.1) | 27 (48.2) | 0.008 | 0.93 | 23 (43.4) | 30 (53.6) | 1.129 | 0.288 |
| ≥60 | 56 (51.4) | 27 (50.9) | 29 (51.8) | 30 (56.6) | 26 (46.4) | |||||
| TNM | I–III | 109 (100) | 53 (100) | 56 (100) | - | - | 53 (100) | 56 (100) | - | - |
| IV–V | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | |||||
| Differentiation | Low | 56 (51.4) | 32 (60.4) | 24 (42.9) | 3.346 | 0.067 | 27 (50.9) | 29 (51.8) | 0.008 | 0.93 |
| Moderate– high | 53 (48.6) | 21 (39.6) | 32 (57.1) | 26 (49.1) | 27 (48.2) | |||||
| Lymph node metastasis | Yes | 4 (3.7) | 2 (3.8) | 2 (3.6) | 0.003 | 0.955 | 2 (3.8) | 2 (3.6) | 0.003 | 0.955 |
| No | 105 (96.3) | 51 (96.2) | 54 (96.4) | 51 (96.2) | 54 (96.4) | |||||
| DOI | <4 mm | 57 (52.3) | 27 (50.9) | 30 (53.6) | 0.075 | 0.784 | 26 (49.1) | 31 (55.4) | 0.433 | 0.51 |
| ≥4 mm | 52 (47.7) | 26 (49.1) | 26 (46.4) | 27 (50.9) | 25 (44.6) | |||||
| WPOI | I–III | 68 (62.4) | 31 (58.5) | 37 (66.1) | 0.667 | 0.414 | 30 (56.6) | 38 (67.9) | 1.469 | 0.225 |
| IV–V | 41 (37.6) | 22 (41.5) | 19 (33.9) | 23 (43.4) | 18 (32.1) | |||||
Table 2. Correlations between Ki67 expression in FLCs at CT and IF with their clinicopathological characteristics in OSCC patients.
| Variable | Category | Number of cases (%) | FLCs | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ki67 expression at CT (cutoff: 11.66) | Ki67 expression at IF (cutoff: 5.33) | |||||||||
| Low | High | χ2 | P | Low | High | χ2 | P | |||
| Gender | Male | 51 (46.8) | 17 (54.8) | 34 (43.6) | 1.127 | 0.288 | 16 (51.6) | 35 (44.9) | 0.405 | 0.5250 |
| Female | 58 (53.2) | 14 (45.2) | 44 (56.4) | 15 (48.4) | 43 (55.1) | |||||
| Age (years) | <60 | 53 (48.6) | 15 (48.4) | 38 (48.7) | 0.001 | 0.975 | 14 (45.2) | 39 (50) | 0.208 | 0.6480 |
| ≥60 | 56 (51.4) | 16 (51.6) | 40 (51.3) | 17 (54.8) | 39 (50) | |||||
| TNM | I–III | 109 (100) | 31 (100) | 78 (100) | - | - | 31 (100) | 78 (100) | - | - |
| IV–V | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | |||||
| Differentiation | low | 56 (51.4) | 19 (61.3) | 37 (47.4) | 1.704 | 0.192 | 9 (29) | 47 (60.3) | 8.658 | 0.003 * |
| moderate– high | 53 (48.6) | 12 (38.7) | 41 (52.6) | 22 (71) | 31 (39.7) | |||||
| Lymph node metastasis | Yes | 4 (3.7) | 1 (3.2) | 3 (3.8) | 0.024 | 0.877 | 1 (3.2) | 3 (3.8) | 0.024 | 0.877 |
| No | 105 (96.3) | 30 (96.8) | 75 (96.2) | 30 (96.8) | 75 (96.2) | |||||
| DOI | <4 mm | 57 (52.3) | 19 (61.3) | 38 (48.7) | 1.406 | 0.236 | 11 (35.5) | 46 (59) | 4.907 | 0.027 * |
| ≥4 mm | 52 (47.7) | 12 (38.7) | 40 (51.3) | 20 (64.5) | 32 (41) | |||||
| WPOI | I–III | 68 (62.4) | 23 (74.2) | 45 (57.7) | 2.574 | 0.109 | 24 (77.4) | 44 (56.4) | 4.173 | 0.041 * |
| IV–V | 41 (37.6) | 8 (25.8) | 33 (42.3) | 7 (22.6) | 34 (43.6) | |||||
Represented that differences were considered statistically significant with P<0.05.
The prognostic significance of Ki67 in TCs and FLCs at CT and IF
The potential associations between the OS, DFS, and Ki67 spatial expression were analyzed to determine the prognostic values of Ki67 in TCs and FLCs at CT and IF. Our data demonstrated that cumulative survivals of the patients with higher Ki67 expression in TCs at CT correlated with poorer OS (P=0.0395, Figure 3A) and DFS (P=0.046, Figure 3B). However, patients with higher Ki67 expression in FLCs at IF correlated with better OS (P=0.0396, Figure 3G) and DFS (P=0.0445, Figure 3H). Additionally, there was no significant difference between OS or DFS with Ki67 expression neither in TCs at IF nor in FLCs at CT. (P>0.05, Figure 3C–F).
Figure 3. Kaplan–Meier survival curves for OS and DFS of OSCC patients according to Ki67 expression in TCs at CT (A,B) and IF (C,D), and in FLCs at CT (E,F) and IF (G,H).
Ki67 expression in FLC at IF was not an independent risk factor for OSCC
Univariate analyses shown in Tables 3 and 4 revealed that gender, age, TNM, differentiation, DOI were not significantly associated with OS and DFS (P>0.05), but lymph node metastasis (OS and DFS: P<0.0001), WPOI (OS and DFS: P=0.031), Ki67 expression in TCs at CT (OS: P=0.0395; DFS: P=0.046), and FLCs at IF (OS:P=0.0396; DFS:P=0.0445) presented to be a risk factor for OS and DFS of OSCC patients. However, multivariate analyses implicated that Ki67 expression in FLCs at IF was not an independent factor (P>0.05), but lymph node metastasis was an independent risk factor for OS (P=0.015) and DFS (P=0.005) in OSCC.
Table 3. Prognostic factors in the Cox proportional hazards model for OS.
| Variable | OS | |||||
|---|---|---|---|---|---|---|
| HR | Univariate 95% CI | Sig. | HR | Multivariate 95% CI | Sig. | |
| Gender | ||||||
| Male compared with female | 0.814 | 0.182–3.636 | 0.787 | 1.145 | 0.203–6.466 | 0.878 |
| Age (years) | ||||||
| <60 compared with ≥60 | 2.44 | 0.473–12.58 | 0.286 | 2.85 | 0.418–19.408 | 0.285 |
| TNM | ||||||
| III compared with IV–V | - | - | - | - | - | - |
| Differentiation | ||||||
| low compared with moderate–high | 2.955 | 0.572–15.255 | 0.196 | 0.811 | 0.092–7.113 | 0.85 |
| Lymph node metastasis | ||||||
| No compared with Yes | 34.013 | 6.766–170.972 | <0.0001* | 11.078 | 1.584–77.492 | 0.015* |
| DOI | ||||||
| <5 mm compared with ≥5 mm | 69.345 | 0.158–30388.915 | 0.172 | - | - | - |
| WPOI | ||||||
| I–III compared with IV–V | 10.281 | 1.237–85.407 | 0.031* | 4.241 | 0.351–51.246 | 0.956 |
| Ki67 in TCs at CT | ||||||
| low compared with high | 1.935 | 1.181–4.823 | 0.0395* | 1.207 | 0.177–8.242 | 0.848 |
| Ki67 in TCs at IF | ||||||
| low compared with high | 0.71 | 0.159–3.171 | 0.5463 | 1.462 | 0.271–7.885 | 0.658 |
| Ki67 in FLCs at CT | ||||||
| low compared with high | 0.891 | 0.173–4.598 | 0.6912 | 0.101 | 0.008–1.208 | 0.07 |
| Ki67 in FLCs at IF | ||||||
| low compared with high | 0.15 | 0.018–0.846 | 0.0396* | 0.091 | 0.008–1.078 | 0.068 |
Represented that differences were considered statistically significant with P<0.05.
Table 4. Prognostic factors in the Cox proportional hazards model for DFS.
| Variable | DFS | |||||
|---|---|---|---|---|---|---|
| HR | Univariate 95% CI | Sig. | HR | Multivariate 95% CI | Sig. | |
| Gender | ||||||
| Male compared with female | 0.812 | 0.182–3.628 | 0.785 | 0.918 | 0.158–5.324 | 0.924 |
| Age (years) | ||||||
| <60 compared with ≥60 | 2.551 | 0.495–13.154 | 0.263 | 4.086 | 0.491–33.971 | 0.193 |
| TNM | ||||||
| I–III compared with IV–V | - | - | - | - | - | - |
| Differentiation | ||||||
| low compared with moderate–high | 2.851 | 0.553–14.709 | 0.211 | 0.96 | 0.09–10.281 | 0.973 |
| Lymph node metastasis | ||||||
| No compared with Yes | 48.626 | 9.378–252.131 | <0.0001* | 22.841 | 2.557–203.998 | 0.005* |
| DOI | ||||||
| <5 mm compared with ≥5 mm | 70.546 | 0.161–30988.958 | 0.17 | - | - | - |
| WPOI | ||||||
| I–III compared with IV–V | 10.306 | 1.241–85.617 | 0.031* | 4.228 | 0.34–52.578 | 0.262 |
| Ki67 in TCs at CT | ||||||
| low compared with high | 2.974 | 1.189–5.023 | 0.046* | 1.438 | 0.161–12.846 | 0.745 |
| Ki67 in TCs at IF | ||||||
| low compared with high | 0.726 | 0.162–3.245 | 0.6639 | 1.916 | 0.295–12.458 | 0.496 |
| Ki67 in FLCs at CT | ||||||
| low compared with high | 0.922 | 0.179–4.761 | 0.7132 | 0.119 | 0.01–1.479 | 0.098 |
| Ki67 in FLCs at IF | ||||||
| low compared with high | 0.15 | 0.018–0.947 | 0.0445* | 0.02 | 0.001–0.751 | 0.054 |
Represented that differences were considered statistically significant with P<0.05.
Discussion
Multiple studies have indicated advances in understanding the stromal contribution in cancer progression will improve our knowledge on the reciprocal signaling that promote cancer growth, differentiation, invasion, and survival. It is hopeful to selectively and successfully target oncogenic stromal activities beyond angiogenesis [27]. OSCC with high recurrence and metastasis remained disappointed 5-year survival after therapy, which might partly led by shortage of accurate diagnosis [19].
As a DNA-binding protein, Ki67 mainly located in the nucleus and is related to cell proliferation. With the feature of being absent in quiescent cells (G0) but in G1 phase, Ki67 has been widely used as one of the important markers in cell proliferation [28]. A number of studies have found that higher Ki67 expression is associated with poorer prognosis in breast cancer, prostate cancer, and some other cancers [29–31]. Interestingly, as an independent marker in colorectal cancers, higher Ki67 expression was found to be correlated with a favorable clinical outcome [32]. Our earlier study confirmed that Ki67 expression was also correlated with progression, and high expression of Ki67 related to poor prognosis, severe differentiation, and worse WPOI in OSCC patients. The reason for these conflicting results may partly attribute to biological features of various tumors.
Previous data revealed that the proliferative activity of a tumor is heterogeneous [33]. Tumor microenvironment containing many kinds of cells such as stromal FLCs, immune cells, and endothelial cells affects tumor progression by complicated communications with TCs [34]. Hence, it is necessary to assess Ki67 expression in regions with high proliferation, which was recommended to be IF [35]. A lower Ki67 expression at IF was associated with poor prognosis in Duke’s stage B CRC [36]. Additionally, the expression of Ki67 combined with HIF-1α and CK20 was predicted to be as prognostic biomarkers in the microenvironment of colorectal cancer tissue [37]. Therefore, it is questionable spatial Ki67 expression and its clinical prognosis.
In the present study, we uncovered Ki67 expression in different cell types (TCs and FLCs) and different compartments (tumor center and IF) and found that Ki67 expression in TCs was higher at tumor center than IF, while Ki67 expression in FLCs was higher at IF than tumor center, which predicted Ki67 might revealed distinct patterns on different compartment. Then we further investigated clinicopathologic correlations and prognosis significance of spatial Ki67 expression. The results presented that higher Ki67 expression in FLCs at IF was significantly associated with lower differentiation, DOI, WPOI, better OS, and DFS. Univariate analyses revealed Ki67 expression in FLC at IF (OS:P=0.0396; DFS:P=0.0445) to be a risk factor for OS and DFS of OSCC patients. But, multivariate analyses suggested Ki67 expression in FLC at IF could not be an independent diagnostic factor for OSCC.
In summary, the present study systematically described the use of Ki67 proliferation index to explore OSCC prognosis. Our study verified that Ki67 expression in FLCs at IF is a favor factor for OSCC progression and prognosis, these results contribute to the assumption of tumor heterogeneity amongst patients and provide potential prognostic indicator for OSCC.
Abbreviations
- CT
center of tumor
- IHC
immunohistochemistry
- CRC
colorectal cancer
- DFS
disease-free survival
- DOI
depth of invasion
- FLC
fibroblast like cell
- IF
invasive front
- OS
overall survival
- OSCC
oral squamous cell carcinoma
- TC
tumor cell
- WPOI
worst pattern of invasion
Author contribution
Study design: Y.J., Y.N.; Data Collection: F.H.; Statistical analysis: Y.J., Y.Z.; Data interpretation: Y.J., Y.Y., X.H.; Manuscript preparation: Y.J., Y.N.; literature Search: Y.J., X.Z.; Funds Collection: Y.S., Q.H., Y.N.
Funding
This work was supported by the National Natural Science Foundation of China [grant numbers 81772880, 81702680], Nanjing Medical Science and Technique Development Foundation [grant numbers YKK16164, QRX17083, YKK17138], Jiangsu Provincial Key Medical Discipline (since 2017) Nanjing Municipal Key Medical Laboratory Constructional Project Funding (Since 2016), Center of Nanjing Clinical Medicine of tumor project (Since 2014).
Competing interests
The authors declare that there are no competing interests associated with the manuscript.
References
- 1.Linsen S.S., Gellrich N.C. and Kruskemper G. (2018) Age- and localization-dependent functional and psychosocial impairments and health related quality of life six months after OSCC therapy. Oral Oncol. 81, 61–68 10.1016/j.oraloncology.2018.04.011 [DOI] [PubMed] [Google Scholar]
- 2.Rivera C. (2015) Essentials of oral cancer. Int. J. Clin. Exp. Pathol. 8, 11884–11894 [PMC free article] [PubMed] [Google Scholar]
- 3.Chen W., Zheng R., Baade P.D.. et al. (2016) Cancer statistics in China, 2015. CA Cancer J. Clin. 66, 115–132 10.3322/caac.21338 [DOI] [PubMed] [Google Scholar]
- 4.Xie X., Wang Z., Chen F.. et al. (2016) Roles of FGFR in oral carcinogenesis. Cell Prolif. 49, 261–269 10.1111/cpr.12260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Arshad H., Ahmad Z. and Hasan S.H. (2010) Gliomas: correlation of histologic grade, Ki67 and p53 expression with patient survival. Asian Pac. J. Cancer Prev. 11, 1637–1640 [PubMed] [Google Scholar]
- 6.Choudhury M., Singh S. and Agarwal S. (2011) Diagnostic utility of Ki67 and p53 immunostaining on solitary thyroid nodule–a cytohistological and radionuclide scintigraphic study. Indian J. Pathol. Microbiol. 54, 472–475 10.4103/0377-4929.85077 [DOI] [PubMed] [Google Scholar]
- 7.Chen Y., Klingen T.A., Wik E.. et al. (2014) Breast cancer stromal elastosis is associated with mammography screening detection, low Ki67 expression and favourable prognosis in a population-based study. Diagnostic Pathol. 9, 230 10.1186/s13000-014-0230-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Voduc K.D., Cheang M.C., Tyldesley S., Gelmon K., Nielsen T.O. and Kennecke H. (2010) Breast cancer subtypes and the risk of local and regional relapse. J. Clin. Oncol.Off. 28, 1684–1691 10.1200/JCO.2009.24.9284 [DOI] [PubMed] [Google Scholar]
- 9.von Minckwitz G., Schmitt W.D., Loibl S.. et al. (2013) Ki67 measured after neoadjuvant chemotherapy for primary breast cancer. Clin. Cancer Res. 19, 4521–4531 10.1158/1078-0432.CCR-12-3628 [DOI] [PubMed] [Google Scholar]
- 10.Sheri A., Smith I.E., Johnston S.R.. et al. (2015) Residual proliferative cancer burden to predict long-term outcome following neoadjuvant chemotherapy. Ann. Oncol. 26, 75–80 10.1093/annonc/mdu508 [DOI] [PubMed] [Google Scholar]
- 11.Tokuda E., Horimoto Y., Arakawa A.. et al. (2017) Differences in Ki67 expressions between pre- and post-neoadjuvant chemotherapy specimens might predict early recurrence of breast cancer. Hum. Pathol. 63, 40–45 10.1016/j.humpath.2017.02.005 [DOI] [PubMed] [Google Scholar]
- 12.Coates A.S., Winer E.P., Goldhirsch A.. et al. (2015) Tailoring therapies–improving the management of early breast cancer: St Gallen International Expert consensus on the primary therapy of early breast cancer 2015. Ann. Oncol. 26, 1533–1546 10.1093/annonc/mdv221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.McGranahan N. and Swanton C. (2017) Clonal heterogeneity and tumor evolution: past, present, and the future. Cell 168, 613–628 10.1016/j.cell.2017.01.018 [DOI] [PubMed] [Google Scholar]
- 14.Welch D.R. (2016) Tumor heterogeneity–a ‘Contemporary Concept’ founded on historical insights and predictions. Cancer Res. 76, 4–6 10.1158/0008-5472.CAN-15-3024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Junttila M.R. and de Sauvage F.J. (2013) Influence of tumour micro-environment heterogeneity on therapeutic response. Nature 501, 346–354 10.1038/nature12626 [DOI] [PubMed] [Google Scholar]
- 16.Zhou C., Wu Y., Jiang L.. et al. (2018) Density and location of CD3(+) and CD8(+) tumor-infiltrating lymphocytes correlate with prognosis of oral squamous cell carcinoma. J. Oral Pathol. Med. 47, 359–367 10.1111/jop.12698 [DOI] [PubMed] [Google Scholar]
- 17.Song Y., Zhou Q., Zhu H.. et al. (2018) Frequency of circulating CD14(++) CD16(+) intermediate monocytes as potential biomarker for the diagnosis of oral squamous cell carcinoma. J. Oral Pathol. Med. 10.1111/jop.12760 [DOI] [PubMed] [Google Scholar]
- 18.Ni Y.H., Ding L., Huang X.F., Dong Y.C., Hu Q.G. and Hou Y.Y. (2015) Microlocalization of CD68+ tumor-associated macrophages in tumor stroma correlated with poor clinical outcomes in oral squamous cell carcinoma patients. Tumour Biol. 36, 5291–5298 10.1007/s13277-015-3189-5 [DOI] [PubMed] [Google Scholar]
- 19.Ni Y.H., Ding L., Zhang D.Y., Hou Y.Y., Huang X. and Hu Q. (2015) Distinct expression patterns of Toll-like receptor 7 in tumour cells and fibroblast-like cells in oral squamous cell carcinoma. Histopathology 67, 730–739 10.1111/his.12703 [DOI] [PubMed] [Google Scholar]
- 20.Yerushalmi R., Woods R., Ravdin P.M., Hayes M.M. and Gelmon K.A. (2010) Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol. 11, 174–183 10.1016/S1470-2045(09)70262-1 [DOI] [PubMed] [Google Scholar]
- 21.Wilkins A.C., Gusterson B., Szijgyarto Z.. et al. (2018) Ki67 Is an independent predictor of recurrence in the largest randomized trial of 3 radiation fractionation schedules in localized prostate cancer. Int. J. Radiat. Oncol. Biol. Phys. 101, 309–315 10.1016/j.ijrobp.2018.01.072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Milione M., Maisonneuve P., Pellegrinelli A.. et al. (2018) Ki67 proliferative index of the neuroendocrine component drives MANEC prognosis. Endocr. Relat. Cancer 25, 583–593 10.1530/ERC-17-0557 [DOI] [PubMed] [Google Scholar]
- 23.Cabrera-Galeana P., Munoz-Montano W., Lara-Medina F.. et al. (2018) Ki67 changes identify worse outcomes in residual breast cancer tumors after neoadjuvant chemotherapy. Oncologist 23, 670–678 10.1634/theoncologist.2017-0396 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ricci C., Casadei R., Taffurelli G.. et al. (2016) Validation of the 2010 WHO classification and a new prognostic proposal: a single centre retrospective study of well-differentiated pancreatic neuroendocrine tumours. Pancreatology 16, 403–410 10.1016/j.pan.2016.02.002 [DOI] [PubMed] [Google Scholar]
- 25.Reid M.D., Balci S., Saka B. and Adsay N.V. (2014) Neuroendocrine tumors of the pancreas: current concepts and controversies. Endocr. Pathol. 25, 65–79 10.1007/s12022-013-9295-2 [DOI] [PubMed] [Google Scholar]
- 26.Bustreo S., Osella-Abate S., Cassoni P.. et al. (2016) Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up. Breast Cancer Res. Treat. 157, 363–371 10.1007/s10549-016-3817-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bremnes R.M., Donnem T., Al-Saad S.. et al. (2011) The role of tumor stroma in cancer progression and prognosis: emphasis on carcinoma-associated fibroblasts and non-small cell lung cancer. J. Thorac. Oncol. 6, 209–217 10.1097/JTO.0b013e3181f8a1bd [DOI] [PubMed] [Google Scholar]
- 28.Haroon S., Hashmi A.A., Khurshid A.. et al. (2013) Ki67 index in breast cancer: correlation with other prognostic markers and potential in pakistani patients. Asian Pac. J. Cancer Prev. 14, 4353–4358 10.7314/APJCP.2013.14.7.4353 [DOI] [PubMed] [Google Scholar]
- 29.Luporsi E., Andre F., Spyratos F.. et al. (2012) Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review. Breast Cancer Res. Treat. 132, 895–915 10.1007/s10549-011-1837-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Berney D.M., Gopalan A., Kudahetti S.. et al. (2009) Ki-67 and outcome in clinically localised prostate cancer: analysis of conservatively treated prostate cancer patients from the Trans-Atlantic Prostate Group study. Br. J. Cancer 100, 888–893 10.1038/sj.bjc.6604951 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ito Y., Miyauchi A., Kakudo K., Hirokawa M., Kobayashi K. and Miya A. (2010) Prognostic significance of Ki-67 labeling index in papillary thyroid carcinoma. World J. Surg. 34, 3015–3021 10.1007/s00268-010-0746-3 [DOI] [PubMed] [Google Scholar]
- 32.Melling N., Kowitz C.M., Simon R.. et al. (2016) High Ki67 expression is an independent good prognostic marker in colorectal cancer. J. Clin. Pathol. 69, 209–214 10.1136/jclinpath-2015-202985 [DOI] [PubMed] [Google Scholar]
- 33.Yang Z., Tang L.H. and Klimstra D.S. (2011) Effect of tumor heterogeneity on the assessment of Ki67 labeling index in well-differentiated neuroendocrine tumors metastatic to the liver: implications for prognostic stratification. Am. J. Surg. Pathol. 35, 853–860 10.1097/PAS.0b013e31821a0696 [DOI] [PubMed] [Google Scholar]
- 34.Catalano V., Turdo A., Di Franco S., Dieli F., Todaro M. and Stassi G. (2013) Tumor and its microenvironment: a synergistic interplay. Semin. Cancer Biol. 23, 522–532 10.1016/j.semcancer.2013.08.007 [DOI] [PubMed] [Google Scholar]
- 35.Dowsett M., Nielsen T.O., A’Hern R.. et al. (2011) Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group. J. Natl. Cancer Inst. 103, 1656–1664 10.1093/jnci/djr393 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Palmqvist R., Sellberg P., Oberg A., Tavelin B., Rutegard J.N. and Stenling R. (1999) Low tumour cell proliferation at the invasive margin is associated with a poor prognosis in Dukes’ stage B colorectal cancers. Br. J. Cancer 79, 577–581 10.1038/sj.bjc.6690091 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zhang L., Hu Y., Xi N.. et al. (2016) Partial oxygen pressure affects the expression of prognostic biomarkers HIF-1 Alpha, Ki67, and CK20 in the microenvironment of colorectal cancer tissue. Oxid. Med. Cell. Longev. 2016, 1204715 10.1155/2016/1204715 [DOI] [PMC free article] [PubMed] [Google Scholar]



