Do the Conventional Clinicopathologic Parameters Predict for Response and Survival in Head and Neck Cancer Patients Undergoing Neoadjuvant Chemotherapy?

1996 ◽  
Vol 82 (6) ◽  
pp. 560-566 ◽  
Author(s):  
Emilio Fonseca ◽  
J. Jesus Cruz ◽  
Alfonso Dueñas ◽  
Amalia Gómez ◽  
Pedro Sánchez ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Neoadjuvant Chemotherapy ◽  
Head And Neck ◽  
Cox Regression ◽  
Performance Status ◽  
Disease Free Survival ◽  
Complete Response ◽  
Primary Tumor Site ◽  
Cox Regression Analysis ◽  
Response To Chemotherapy

Aims and Background Neoadjuvant chemotherapy for head and neck carcinoma is still an important treatment modality. The prognostic value of patient and tumor parameters has been extensively evaluated in several trials, yielding mixed results. We report the prognostic factors emerging from a group of patients undergoing neoadjuvant chemotherapy. Patients and methods From April 1986 to June 1992, 149 consecutive patients received cisplatin-5-fluorouracil-based neoadjuvant chemotherapy. After four courses of chemotherapy, patients underwent local-regional treatment with surgery, radiation or both. A variety of patient and tumor characteristics were evaluated as predictors for response to chemotherapy and survival. Results The complete response, partial response and no response rates to NAC were 52%, 33% and 15%, respectively. No parameters predicted response to chemotherapy. At a maximum follow-up of 87 months, overall survival was 39% and disease-free survival was 49%. Variables shown to be predictors of survival in univariate analyses were age, performance status, histology, site, T, N, stage, and response to chemotherapy. Using the Cox regression analysis, only complete response to induction chemotherapy ( P = 0.0006), performance status ( P = 0.03), stage ( P = 0.01), age ( P = 0.03) and primary tumor site ( P = 0.04) emerged as independent prognostic factors for survival. Conclusions Complete response to chemotherapy was confirmed as the strongest prognostic factor influencing survival. However, conventional clinicopathologic factors did not predict response, hence, potential prognostic biologic and molecular factors for response must be sought. At present, much effort must be made for the improvement of the complete response rate, which seems to be a requisite to prolong survival.

Factors Predictive of Distant Metastases in Patients With Breast Cancer Who Have a Pathologic Complete Response After Neoadjuvant Chemotherapy

2005 ◽  
Vol 23 (28) ◽  
pp. 7098-7104 ◽  
Author(s):  
Ana M. Gonzalez-Angulo ◽  
Sean E. McGuire ◽  
Thomas A. Buchholz ◽  
Susan L. Tucker ◽  
Henry M. Kuerer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Neoadjuvant Chemotherapy ◽  
Distant Metastasis ◽  
Cox Regression ◽  
Clinical Stage ◽  
Pathologic Complete Response ◽  
Distant Metastases ◽  
Complete Response ◽  
Cox Regression Analysis

Purpose To identify clinicopathological factors predictive of distant metastasis in patients who had a pathologic complete response (pCR) after neoadjuvant chemotherapy (NC). Methods Retrospective review of 226 patients at our institution identified as having a pCR was performed. Clinical stage at diagnosis was I (2%), II (36%), IIIA (27%), IIIB (23%), and IIIC (12%). Eleven percent of all patients were inflammatory breast cancers (IBC). Ninety-five percent received anthracycline-based chemotherapy; 42% also received taxane-based therapy. The relationship of distant metastasis with clinicopathologic factors was evaluated, and Cox regression analysis was performed to identify independent predictors of development of distant metastasis. Results Median follow-up was 63 months. There were 31 distant metastases. Ten-year distant metastasis-free rate was 82%. Multivariate Cox regression analysis using combined stage revealed that clinical stages IIIB, IIIC, and IBC (hazard ratio [HR], 4.24; 95% CI, 1.96 to 9.18; P < .0001), identification of ≤ 10 lymph nodes (HR, 2.94; 95% CI, 1.40 to 6.15; P = .004), and premenopausal status (HR, 3.08; 95% CI, 1.25 to 7.59; P = .015) predicted for distant metastasis. Freedom from distant metastasis at 10 years was 97% for no factors, 88% for one factor, 77% for two factors, and 31% for three factors (P < .0001). Conclusion A small percentage of breast cancer patients with pCR experience recurrence. We identified factors that independently predicted for distant metastasis development. Our data suggest that premenopausal patients with advanced local disease and suboptimal axillary node evaluation may be candidates for clinical trials to determine whether more aggressive or investigational adjuvant therapy will be of benefit.

BCIRG 001 molecular analysis: Identification of prognostic factors in patients (pts) receiving adjuvant therapy for node- positive (N+) breast cancer (BC)

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 525-525
Author(s):  
C. M. Dumontet ◽  
J. C. Reed ◽  
M. Krajewska ◽  
I. Treilleux ◽  
J. R. Mackey ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Adjuvant Therapy ◽  
Tau Protein ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Rank Test ◽  
Lymph Node Status ◽  
Training Set ◽  
Primary Tumors ◽  
Cox Regression Analysis

525 Background: BCIRG 001 (1,491 pts) demonstrated significant superiority of docetaxel/doxorubicin/cyclophosphamide (TAC) over fluorouracil/doxorubicin/cyclophosphamide (FAC) given as adjuvant therapy for N+ operable BC in terms of disease-free survival (DFS) and overall survival (OS) (Martin et al, N Eng J Med, 2005). This ancillary study was aimed to identify tumor-associated factors related to DFS and OS. Methods: Formalin-fixed primary tumors from pts in BCIRG 001 were analysed by immunohistochemistry. Protocol- specified assessment of histological grade (GR), tumor size (TS), estrogen (ER) and progesterone receptors (PR), lymph node status (LN), HER2, MUC1, Mib, p53, Bcl-2, Bax, Bcl-X, Bag-1, tubulin β isotypes II, III and IV, tau protein and detyrosinated a tubulin was performed. Parameters were scored as the percentage of positive cells and analysed as lower or greater than median values. The samples were randomly split into training (2/3) and validation (1/3) sets. Associations between selected parameters and DFS or OS were tested through univariate analyses using the Kaplan Meier method (log-rank test) on the training set. A backward stepwise Cox regression analysis was performed to identify the final model of prognostic factors on the training set. Multivariate analyses were applied to the validation set. Results: 1,350 samples were split into a training (n=906) and a validation (n=444) set. In univariate GR, TS, LN, ER and PR, Mib, tau protein and HER2 were correlated with DFS in both sets. In multivariate ER, PR, TS, LN, Mib (all p<0.01) and tau (p=0.043) were significantly associated with DFS in the training set. In univariate GR, TS, LN, ER and PR, Mib, MUC1, Bcl-2, tubulin III and IV and tau were correlated with OS in both sets, with a trend for p53. In multivariate ER, TS, LN, Mib, p53 (all p<0.01) and PR (p=0.028) were independently correlated with OS in the training set. Conclusions: These data suggest that tau and p53 are independent markers of DFS and OS, respectively, while Mib is correlated with both DFS and OS in pts receiving these forms of adjuvant chemotherapy for N+ BC. Complementary analyses will be presented. No significant financial relationships to disclose.

scholarly journals Pathologic Response Rates for Breast Cancer Stages as a Predictor of Outcomes in Patients Receiving Neoadjuvant Chemotherapy Followed by Breast-Conserving Surgery

2020 ◽  
Author(s):  
Chang-Yun Lu ◽  
Ho-Min Chen ◽  
Szu-Yuan Wu
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Cox Regression ◽  
Ductal Carcinoma ◽  
Pathologic Complete Response ◽  
Response Rates ◽  
Complete Response ◽  
Breast Conserving Surgery ◽  
Pathologic Response ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract PURPOSE: To determine easy-to-use predictors of overall survival (OS), locoregional recurrence (LRR), and distant metastasis (DM) in patients with breast invasive ductal carcinoma (IDC) receiving neoadjuvant chemotherapy (NACT) followed by breast-conserving surgery (BCS), we obtained pathologic response rates (PRRs) for combined primary and nodal diseases (American Joint Committee on Cancer [AJCC] stages) from clinical and pathologic reports, and we used these as predictors.PATIENTS AND METHODS: We enrolled patients with IDC who had received NACT followed by BCS. Cox regression analysis was used to calculate hazard ratios (HRs) and confidence intervals (CIs) for the patients’ PRRs; other independent predictors were controlled for or stratified in the analysis.RESULTS: We analyzed 1047 patients with IDC (611, 260, and 176 patients in clinical stages IIB, IIIA, and IIIB-C, respectively) receiving NACT and BCS. After multivariate Cox regression analyses, the adjusted HRs (aHRs; 95% CI) in patients with pathologic complete response (ypT0N0) were 0.26 (0.13–0.56), 0.36 (0.15–0.85), and 0.15 (0.08–0.31) for all-cause mortality, LRR, and DM, respectively. The aHRs (95% CI) in patients with downstaging of AJCC stages were 0.55 (0.35–0.89), 0.91 (0.62–0.96), and 0.63 (0.43–0.91) for all-cause mortality, LRR, and DM, respectively. The aHRs (95% CI) in patients with upstaging of AJCC stages were 1.77 (1.06–2.24), 1.08 (1.03–1.82), and 1.19 (1.07–2.01) for all-cause mortality, LRR, and DM, respectively.CONCLUSION: The impacts of AJCC-stage PRRs are useful predictive tools and strong predictors for OS, LRR, and DM in patients with breast IDC receiving NACT followed by BCS.

scholarly journals Pathologic Response Rates for Breast Cancer Stages as a Predictor of Outcomes in Patients Receiving Neoadjuvant Chemotherapy Followed by Breast-Conserving Surgery

2020 ◽  
Author(s):  
jiaqiang Zhang ◽  
Chang-Yun Lu ◽  
Ho-Min Chen ◽  
Szu-Yuan Wu
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Cox Regression ◽  
Ductal Carcinoma ◽  
Pathologic Complete Response ◽  
Response Rates ◽  
Complete Response ◽  
Breast Conserving Surgery ◽  
Pathologic Response ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract PURPOSE: To determine easy-to-use predictors of overall survival (OS), locoregional recurrence (LRR), and distant metastasis (DM) in patients with breast invasive ductal carcinoma (IDC) receiving neoadjuvant chemotherapy (NACT) followed by breast-conserving surgery (BCS), we obtained pathologic response rates (PRRs) for combined primary and nodal diseases (American Joint Committee on Cancer [AJCC] stages) from clinical and pathologic reports, and we used these as predictors.PATIENTS AND METHODS: We enrolled patients with IDC who had received NACT followed by BCS. Cox regression analysis was used to calculate hazard ratios (HRs) and confidence intervals (CIs) for the patients’ PRRs; other independent predictors were controlled for or stratified in the analysis.RESULTS: We analyzed 1047 patients with IDC (611, 260, and 176 patients in clinical stages IIB, IIIA, and IIIB-C, respectively) receiving NACT and BCS. After multivariate Cox regression analyses, the adjusted HRs (aHRs; 95% CI) in patients with pathologic complete response (ypT0N0) were 0.26 (0.13–0.56), 0.36 (0.15–0.85), and 0.15 (0.08–0.31) for all-cause mortality, LRR, and DM, respectively. The aHRs (95% CI) in patients with downstaging of AJCC stages were 0.55 (0.35–0.89), 0.91 (0.62–0.96), and 0.63 (0.43–0.91) for all-cause mortality, LRR, and DM, respectively. The aHRs (95% CI) in patients with upstaging of AJCC stages were 1.77 (1.06–2.24), 1.08 (1.03–1.82), and 1.19 (1.07–2.01) for all-cause mortality, LRR, and DM, respectively.CONCLUSION: The impacts of AJCC-stage PRRs are useful predictive tools and strong predictors for OS, LRR, and DM in patients with breast IDC receiving NACT followed by BCS.

Use of circulating tumor cells to predict response to chemotherapy in patients with advanced gastric cancer.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 43-43
Author(s):  
S. Matsusaka ◽  
K. Chin ◽  
N. Mizunuma ◽  
M. Ogura ◽  
M. Suenaga ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Advanced Gastric Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cox Regression ◽  
Performance Status ◽  
Univariate Analysis ◽  
Eastern Cooperative Oncology Group ◽  
Cox Regression Analysis ◽  
Response To Chemotherapy

43 Background: The purpose of this study was to quantify circulating tumor cells (CTCs) in advanced gastric cancer (AGC) patients, and to demonstrate the role of CTCs in cancer therapy. The purpose of this study was to identify CTC threshold proposal for determining response to chemotherapy in AGC. Methods: From November 2007 to June 2009, fifty-two patients with AGC were enrolled into a prospective study. All patients were enrolled using institutional review board-approved protocols at the Cancer Institute Hospital and provided informed consent. The study population consisted of patients of aged 18 years or older with histologically proven AGC. Other inclusion criteria were Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 2; adequate organ function. The subjects were five patients treated with S-1 (40 mg/m2, twice daily, days 1-28, repeated every 6 weeks), twenty-six patients treated with S-1 plus CDDP (S-1 40 mg/m2, twice daily, days 1-21, CDDP 60 mg/m2, day 8, repeated every 5 weeks), and twenty-one patients treated with paclitaxel (80 mg/m2, weekly). CTCs of whole blood at baseline, two weeks and four weeks after initiation of chemotherapy, were isolated and enumerated using immunomagnetics. Results: Patients with ≥4 CTCs at two-week points and four-week points had a shorter median PFS (1.4, 1.4 months, respectively), than those with the median PFS of <4 CTCs (4.9, 5.0 months, respectively) (p<0.001, p<0.001, respectively). Patients with ≥4 CTCs at two-week points and four-week points had shorter median OS (3.5, 4.0 months, respectively) than those with the median PFS of <4 CTCs (11.7, 11.4 months, respectively) (p<0.001, p=0.001, respectively). In univariate analysis, PS, treatment regimen, Line of chemotherapy, and CTC levels at 2 weeks and 4 weeks predicted PFS and OS. In order to evaluate the independent predictive effect of chemotherapy, multivariate Cox regression analysis was carried out. CTC levels at 2 weeks and 4 weeks were the strongest predictors. Conclusions: A threshold of lower than 4 CTC/7.5 ml at 2 weeks and 4 weeks was a significant predictor of the outcome for AGC patients treated with S-1 based regimen or paclitaxel regimen. No significant financial relationships to disclose.

Prognostic value of neutrophil-to-lymphocyte ratio (NLR) in metastatic castration-resistant prostate cancer (mCRPC) pts receiving a new agent (NA)- based third line treatment: Final results from a multicenter Italian study.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e16521-e16521
Author(s):  
Orazio Caffo ◽  
Emilio Bria ◽  
Ugo De Giorgi ◽  
Marcello Tucci ◽  
Elisa Biasco ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Prognostic Value ◽  
Cox Regression ◽  
Performance Status ◽  
Progression Free Survival ◽  
Prognostic Indicator ◽  
Consecutive Series ◽  
Castration Resistant Prostate Cancer ◽  
Cox Regression Analysis ◽  
Third Line

e16521 Background: High NLR has been reported to be a poor prognostic indicator in both first and second mCRPC lines, while no information is available concerning this issue in pts treated in third line therapy. The present study is aimed to assess the possible relationship between third line clinical outcomes and NLR in a series of mCRPC pts treated with a NA [abiraterone acetate (AA), cabazitaxel (CABA), or enzalutamide (ENZ)] after the failure of docetaxel (DOC) and another NA. Methods: We collected data of pts who received sequentially two NAs after DOC in 38 Italian hospitals. For each pt we recorded the clinical outcome of all treatments received after DOC. Cox regression analysis was used to assess the independent prognostic value of a series of pretreatment covariates, in terms of overall survival (OS), comprising NLR. Results: A consecutive series of 476 mCRPC pts with bone (86%), nodal (56%) or visceral (15%) mets, was collected. All pts received a NA-based third line: 135 received AA, 221 CABA and 120 ENZ. Data on NLR were available for 398 pts (84%). In the univariate analyses, the NLR as a discrete variable dichotomized according to the Maximally Selected Log-Rank statistics (optimal cut-off: 3.66), was significantly associated with both OS and progression free survival (PFS), calculated from the third line start (p < 0.0001). At the multivariate analysis, NLR, performance status, pain, hemoglobin, alkaline phosphatase, treatment with AA and with CABA were independent prognostic factors for PFS, while NLR, performance status, hemoglobin, PSA, and lactate dehydrogenase were independent prognostic factors for OS. In Kaplan-Meier analysis, the median OS from the start of third-line was higher (14.2 vs 9.3 mos) in pts with NLR ≤ 3.1 compared to those with NLR > 3.1 (log-rank; P < 0.0001). Similarly, the median PFS was 5.5 and 3.8 (log-rank; P < 0.0001) in pts with NLR ≤ 3.66 and > 3.66, respectively. Conclusions: Our results, observed in the largest cohort of mCRCP pts treated with NA-based third line after DOC and another NA, confirms that NLR is an independent factor for PFS and OS also in this population.

Prognostic value of neutrophil-to-lymphocyte ratio (NLR) in pts with metastatic castration-resistant prostate cancer (mCRPC) receiving a new agent (NA)- based third-line treatment: Final results from a multicenter Italian study.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 230-230
Author(s):  
Orazio Caffo ◽  
Emilio Bria ◽  
Ugo De Giorgi ◽  
Marcello Tucci ◽  
Luca Galli ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Prognostic Value ◽  
Cox Regression ◽  
Performance Status ◽  
Progression Free Survival ◽  
Prognostic Indicator ◽  
Consecutive Series ◽  
Castration Resistant Prostate Cancer ◽  
Cox Regression Analysis ◽  
Third Line

230 Background: High NLR has been reported to be a poor prognostic indicator in both first and second mCRPC lines, while no information is available concerning this issue in pts treated in third line therapy. The present study is aimed to assess the possible relationship between third line clinical outcomes and NLR in a series of mCRPC pts treated with a NA [abiraterone acetate (AA), cabazitaxel (CABA), or enzalutamide (ENZ)] after the failure of docetaxel (DOC) and another NA. Methods: We collected data of pts who received sequentially two NAs after DOC in 38 Italian hospitals. For each pt we recorded the clinical outcome of all treatments received after DOC. Cox regression analysis was used to assess the independent prognostic value of a series of pretreatment covariates, in terms of overall survival (OS), comprising NLR. Results: A consecutive series of 476 mCRPC pts with bone (86%), nodal (56%) or visceral (15%) mets, was collected. All pts received a NA-based third line: 135 received AA, 221 CABA and 120 ENZ. Data on NLR were available for 398 pts (84%). In the univariate analyses, the NLR as a discrete variable dichotomized according to the Maximally Selected Log-Rank statistics (optimal cut-off: 3.66), was significantly associated with both OS and progression free survival (PFS), calculated from the third line start (p < 0.0001). At the multivariate analysis, NLR, performance status, pain, hemoglobin, alkaline phosphatase, treatment with AA and with CABA were independent prognostic factors for PFS, while NLR, performance status, hemoglobin, PSA, and lactate dehydrogenase were independent prognostic factors for OS . In Kaplan-Meier analysis, the median OS from the start of third-line was higher (14.2 vs 9.3 mos) in pts with NLR ≤ 3.1 compared to those with NLR > 3.1 (log-rank; P < 0.0001). Similarly, the median PFS was 5.5 and 3.8 (log-rank; P < 0.0001) in pts with NLR ≤ 3.66 and > 3.66, respectively. Conclusions: Our results, observed in the largest cohort of mCRCP pts treated with NA-based third line after DOC and another NA, confirms that NLR is an independent factor for PFS and OS also in this population.

Long-term survival in paraneoplastic Lambert-Eaton myasthenic syndrome

Neurology ◽  
2017 ◽  
Vol 88 (14) ◽  
pp. 1334-1339 ◽  
Author(s):  
Paul Maddison ◽  
Paul Gozzard ◽  
Matthew J. Grainge ◽  
Bethan Lang
Keyword(s):  
Prognostic Factors ◽  
Cox Regression ◽  
Performance Status ◽  
Survival Advantage ◽  
University Hospitals ◽  
Disease Extent ◽  
Term Survival ◽  
Cox Regression Analysis ◽  
Tumor Survival ◽  
Myasthenic Syndrome

Objective:To establish whether improved tumor survival in patients with Lambert-Eaton myasthenic syndrome (LEMS) and small-cell lung cancer (SCLC) was due to known prognostic risk factors or an effect of LEMS independently, perhaps as a result of circulating factors.Methods:We undertook a prospective observational cohort study of patients with LEMS attending Nottingham University Hospitals, UK, or via the British Neurological Surveillance Unit. In parallel, patients with a new diagnosis of biopsy-proven SCLC were enrolled, examined for neurologic illness, and followed up until death or study end.Results:Between May 2005 and November 2014, we recruited 31 patients with LEMS and SCLC and 279 patients with SCLC without neurologic illness. Allowing for known SCLC survival prognostic factors of disease extent, age, sex, performance status, and sodium values, multivariate Cox regression analysis showed that the presence of LEMS with SCLC conferred a significant survival advantage independently of the other prognostic variables (hazard ratio 1.756, 95% confidence interval 1.137–2.709, p = 0.011).Conclusions:Improved SCLC tumor survival seen in patients with LEMS and SCLC may not be due solely to lead time bias, given that survival advantage remains after allowing for other prognostic factors and that the same degree of survival advantage is not seen in patients with paraneoplastic neurologic syndromes other than LEMS presenting before SCLC diagnosis.

scholarly journals Prognostic biomarkers related to breast cancer recurrence identified based on Logit model analysis

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Xiaoying Zhou ◽  
Chuanguang Xiao ◽  
Tong Han ◽  
Shusheng Qiu ◽  
Meng Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Prognostic Factors ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Model Analysis ◽  
Validation Data ◽  
Cox Regression Analysis

Abstract Background This study intended to determine important genes related to the prognosis and recurrence of breast cancer. Methods Gene expression data of breast cancer patients were downloaded from TCGA database. Breast cancer samples with recurrence and death were defined as poor disease-free survival (DFS) group, while samples without recurrence and survival beyond 5 years were defined as better DFS group. Another gene expression profile dataset (GSE45725) of breast cancer was downloaded as the validation data. Differentially expressed genes (DEGs) were screened between better and poor DFS groups, which were then performed function enrichment analysis. The DEGs that were enriched in the GO function and KEGG signaling pathway were selected for cox regression analysis and Logit regression (LR) model analysis. Finally, correlation analysis between LR model classification and survival prognosis was analyzed. Results Based on the breast cancer gene expression profile data in TCGA, 540 DEGs were screened between better DFS and poor DFS groups, including 177 downregulated and 363 upregulated DEGs. A total of 283 DEGs were involved in all GO functions and KEGG signaling pathways. Through LR model screening, 10 important feature DEGs were identified and validated, among which, ABCA3, CCL22, FOXJ1, IL1RN, KCNIP3, MAP2K6, and MRPL13, were significantly expressed in both groups in the two data sets. ABCA3, CCL22, FOXJ1, IL1RN, and MAP2K6 were good prognostic factors, while KCNIP3 and MRPL13 were poor prognostic factors. Conclusion ABCA3, CCL22, FOXJ1, IL1RN, and MAP2K6 may serve as good prognostic factors, while KCNIP3 and MRPL13 may be poor prognostic factors for the prognosis of breast cancer.

Sign in / Sign up

Export Citation Format

Share Document